Subjects -> ENGINEERING (Total: 2677 journals)
    - CHEMICAL ENGINEERING (235 journals)
    - CIVIL ENGINEERING (237 journals)
    - ELECTRICAL ENGINEERING (176 journals)
    - ENGINEERING (1308 journals)
    - ENGINEERING MECHANICS AND MATERIALS (452 journals)
    - HYDRAULIC ENGINEERING (56 journals)
    - INDUSTRIAL ENGINEERING (98 journals)
    - MECHANICAL ENGINEERING (115 journals)

ENGINEERING (1308 journals)            First | 1 2 3 4 5 6 7 | Last

Showing 201 - 400 of 1205 Journals sorted alphabetically
Concurrent Engineering     Hybrid Journal   (Followers: 4)
Continuum Mechanics and Thermodynamics     Hybrid Journal   (Followers: 8)
Control Engineering Practice     Hybrid Journal   (Followers: 46)
Control Theory and Informatics     Open Access   (Followers: 9)
Corrosion Science     Hybrid Journal   (Followers: 23)
CT&F - Ciencia, Tecnología y Futuro     Open Access  
CTheory     Open Access  
Current Applied Physics     Full-text available via subscription   (Followers: 4)
Current Applied Science and Technology     Open Access  
Current Journal of Applied Science and Technology     Open Access  
Current Research in Nanotechnology     Open Access   (Followers: 23)
Current Science     Open Access   (Followers: 117)
Dams and Reservoirs     Hybrid Journal   (Followers: 3)
Data-Centric Engineering     Open Access   (Followers: 1)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 33)
Designed Monomers and Polymers     Open Access   (Followers: 1)
Designs     Open Access  
Designs, Codes and Cryptography     Hybrid Journal   (Followers: 7)
Development Engineering     Open Access   (Followers: 3)
Diálogos Interdisciplinares     Open Access  
Diffusion Foundations     Full-text available via subscription   (Followers: 4)
Digital Signal Processing     Hybrid Journal   (Followers: 35)
Dinamisia : Jurnal Pengabdian Kepada Masyarakat     Open Access  
Discrete Optimization     Full-text available via subscription   (Followers: 7)
Dokuz Eylül Üniversitesi Denizcilik Fakültesi Dergisi     Open Access  
Düzce Üniversitesi Bilim ve Teknoloji Dergisi / Duzce University Journal of Science & Technology     Open Access  
Dyes and Pigments     Hybrid Journal   (Followers: 1)
Dynamical Systems : An International Journal     Hybrid Journal  
E&S Engineering and Science     Open Access  
e-Phaïstos : Revue d’histoire des techniques / Journal of the history of technology     Open Access  
EAU Heritage Journal Science and Technology     Open Access   (Followers: 1)
El-Cezeri Fen ve Mühendislik Dergisi / El-Cezeri Journal of Science and Engineering     Open Access  
Electromagnetics     Hybrid Journal   (Followers: 13)
Electrophoresis     Hybrid Journal   (Followers: 15)
Elkawnie : Journal of Islamic Science and Technology     Open Access  
Emerging Science Journal     Open Access   (Followers: 1)
Emitter : International Journal of Engineering Technology     Open Access  
ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations     Open Access  
Energies     Open Access   (Followers: 4)
Energy and Power Engineering     Open Access   (Followers: 23)
Energy Conversion and Management     Hybrid Journal   (Followers: 15)
Energy Conversion and Management : X     Open Access   (Followers: 1)
Energy Engineering     Full-text available via subscription   (Followers: 8)
Energy for Sustainable Development     Hybrid Journal   (Followers: 13)
Energy Science & Engineering     Open Access   (Followers: 6)
Energy Science and Technology     Open Access   (Followers: 10)
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects     Hybrid Journal   (Followers: 1)
Energy Sources, Part B: Economics, Planning, and Policy     Hybrid Journal   (Followers: 7)
Energy Systems     Hybrid Journal   (Followers: 11)
EnergyChem     Hybrid Journal   (Followers: 1)
Engenharia de Interesse Social     Open Access  
ENGEVISTA     Open Access  
Engineer : Journal of the Institution of Engineers, Sri Lanka     Open Access  
Engineering     Open Access   (Followers: 1)
Engineering & Technology     Hybrid Journal   (Followers: 23)
Engineering Analysis with Boundary Elements     Hybrid Journal   (Followers: 2)
Engineering Computations     Hybrid Journal   (Followers: 3)
Engineering Economics     Open Access   (Followers: 4)
Engineering Economist, The     Hybrid Journal   (Followers: 4)
Engineering Failure Analysis     Hybrid Journal   (Followers: 68)
Engineering Geology     Hybrid Journal   (Followers: 17)
Engineering Journal of Research and Development     Open Access  
Engineering Management in Production and Services     Open Access  
Engineering Management Research     Open Access   (Followers: 6)
Engineering Optimization     Hybrid Journal   (Followers: 19)
Engineering Reports     Open Access  
Engineering Science and Technology, an International Journal     Open Access   (Followers: 2)
Engineering Sciences     Open Access  
Engineering Studies     Hybrid Journal   (Followers: 1)
Engineering With Computers     Hybrid Journal   (Followers: 5)
Engineering, Technology & Applied Science Research     Open Access   (Followers: 1)
ENP Engineering Science Journal     Open Access   (Followers: 3)
Entramado     Open Access  
Entre Ciencia e Ingeniería     Open Access  
Entropy     Open Access   (Followers: 5)
Environmental & Engineering Geoscience     Full-text available via subscription   (Followers: 5)
Environmental and Ecological Statistics     Hybrid Journal   (Followers: 7)
Environmetrics     Hybrid Journal  
Épités - Épitészettudomány     Full-text available via subscription   (Followers: 1)
EPJ Photovoltaics     Open Access   (Followers: 2)
Ergonomics in Design: The Quarterly of Human Factors Applications     Hybrid Journal   (Followers: 23)
ESAIM: Control Optimisation and Calculus of Variations     Open Access   (Followers: 2)
ESAIM: Mathematical Modelling and Numerical Analysis     Open Access   (Followers: 4)
ESAIM: Proceedings     Open Access  
eScience     Open Access   (Followers: 2)
Estuaries and Coasts     Hybrid Journal   (Followers: 23)
EUREKA : Physics and Engineering     Open Access  
Euro-Mediterranean Journal for Environmental Integration     Hybrid Journal  
European Journal of Combinatorics     Full-text available via subscription   (Followers: 3)
European Journal of Engineering Education     Hybrid Journal   (Followers: 9)
European Journal of Lipid Science and Technology     Hybrid Journal   (Followers: 1)
European Journal of Mass Spectrometry     Hybrid Journal   (Followers: 15)
European Physical Journal - Applied Physics     Full-text available via subscription   (Followers: 19)
European Transport Research Review     Open Access   (Followers: 22)
Evolutionary Intelligence     Hybrid Journal   (Followers: 2)
Evolving Systems     Hybrid Journal  
Experimental and Computational Multiphase Flow     Hybrid Journal  
Experimental Techniques     Hybrid Journal   (Followers: 51)
Experiments in Fluids     Hybrid Journal   (Followers: 17)
Farm Engineering and Automation Technology Journal     Open Access  
Fibers and Polymers     Full-text available via subscription   (Followers: 4)
FIGEMPA : Investigación y Desarrollo     Open Access   (Followers: 1)
Filtration & Separation     Full-text available via subscription   (Followers: 4)
Finite Fields and Their Applications     Full-text available via subscription   (Followers: 5)
Fırat University Turkish Journal of Science & Technology     Open Access  
Fire Science Reviews     Open Access   (Followers: 12)
Flexible Services and Manufacturing Journal     Hybrid Journal   (Followers: 2)
Flow, Turbulence and Combustion     Hybrid Journal   (Followers: 30)
Fluid Dynamics     Hybrid Journal   (Followers: 27)
Fluid Phase Equilibria     Hybrid Journal   (Followers: 4)
Focus on Catalysts     Full-text available via subscription  
Focus on Pigments     Full-text available via subscription   (Followers: 3)
Focus on Powder Coatings     Full-text available via subscription   (Followers: 5)
Focus on Surfactants     Full-text available via subscription   (Followers: 2)
Food Engineering Reviews     Hybrid Journal   (Followers: 2)
Food Science and Technology     Open Access   (Followers: 2)
Forces in Mechanics     Open Access   (Followers: 6)
Formación Universitaria     Open Access   (Followers: 4)
FORMakademisk - forskningstidsskrift for design og designdidaktikk     Open Access   (Followers: 2)
Formal Methods in System Design     Hybrid Journal   (Followers: 6)
Forschung     Hybrid Journal   (Followers: 1)
Forschung im Ingenieurwesen     Hybrid Journal  
Foundations and Trends in Systems and Control     Full-text available via subscription   (Followers: 4)
Foundations and Trends® in Communications and Information Theory     Full-text available via subscription   (Followers: 6)
Foundations and Trends® in Electronic Design Automation     Full-text available via subscription   (Followers: 1)
Foundations of Science     Hybrid Journal   (Followers: 1)
Frontiers in Aerospace Engineering     Open Access   (Followers: 21)
Frontiers in Energy     Hybrid Journal   (Followers: 4)
Frontiers in Nanotechnology     Open Access   (Followers: 1)
Frontiers of Environmental Science & Engineering     Hybrid Journal   (Followers: 3)
Fuel and Energy Abstracts     Full-text available via subscription   (Followers: 7)
Fuel Cells     Hybrid Journal   (Followers: 8)
Fuel Cells Bulletin     Full-text available via subscription   (Followers: 9)
Fusion Engineering and Design     Hybrid Journal   (Followers: 6)
Fuzzy Information and Engineering     Open Access   (Followers: 2)
Fuzzy Sets and Systems     Hybrid Journal   (Followers: 3)
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards     Hybrid Journal   (Followers: 8)
Géotechnique     Hybrid Journal   (Followers: 28)
Geothermics     Hybrid Journal   (Followers: 7)
Glass Technology - European Journal of Glass Science and Technology Part A     Full-text available via subscription   (Followers: 1)
Global Journal of Engineering Research     Full-text available via subscription  
Global Transitions Proceedings     Open Access  
GPS Solutions     Hybrid Journal   (Followers: 28)
Graphs and Combinatorics     Hybrid Journal   (Followers: 4)
Grass and Forage Science     Hybrid Journal   (Followers: 4)
Groundwater for Sustainable Development     Full-text available via subscription   (Followers: 5)
Heat Transfer - Asian Research     Hybrid Journal   (Followers: 11)
Heat Transfer Engineering     Hybrid Journal   (Followers: 36)
Heat Treatment and Surface Engineering     Open Access  
High Voltage     Open Access  
Himalayan Journal of Science and Technology     Open Access  
Historical Records of Australian Science     Hybrid Journal   (Followers: 2)
Human Behavior and Emerging Technologies     Hybrid Journal   (Followers: 1)
Human Factors in Ergonomics & Manufacturing     Hybrid Journal   (Followers: 13)
Human-Intelligent Systems Integration     Hybrid Journal  
I+D Revista de Investigaciones     Open Access  
IBM Journal of Research and Development     Hybrid Journal   (Followers: 16)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 112)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 88)
IEEE Communications Magazine     Full-text available via subscription   (Followers: 140)
IEEE Embedded Systems Letters     Hybrid Journal   (Followers: 60)
IEEE Engineering Management Review     Full-text available via subscription   (Followers: 117)
IEEE Geoscience and Remote Sensing Letters     Hybrid Journal   (Followers: 156)
IEEE Geoscience and Remote Sensing Magazine     Hybrid Journal   (Followers: 7)
IEEE Industry Applications Magazine     Full-text available via subscription   (Followers: 82)
IEEE Instrumentation & Measurement Magazine     Hybrid Journal   (Followers: 149)
IEEE Journal of Biomedical and Health Informatics     Hybrid Journal   (Followers: 14)
IEEE Journal of Oceanic Engineering     Hybrid Journal   (Followers: 11)
IEEE Journal of Selected Topics in Quantum Electronics     Hybrid Journal   (Followers: 7)
IEEE Journal of Selected Topics in Signal Processing     Hybrid Journal   (Followers: 43)
IEEE Journal of Solid-State Circuits     Full-text available via subscription   (Followers: 24)
IEEE Journal on Selected Areas in Communications     Hybrid Journal   (Followers: 39)
IEEE Latin America Transactions     Full-text available via subscription   (Followers: 2)
IEEE Magnetics Letters     Hybrid Journal   (Followers: 7)
IEEE Microwave and Wireless Components Letters     Hybrid Journal   (Followers: 35)
IEEE Microwave Magazine     Full-text available via subscription   (Followers: 63)
IEEE Nanotechnology Magazine     Hybrid Journal   (Followers: 45)
IEEE Open Journal of Engineering in Medicine and Biology     Open Access   (Followers: 1)
IEEE Open Journal of Nanotechnology     Open Access   (Followers: 1)
IEEE Potentials     Full-text available via subscription   (Followers: 42)
IEEE Reviews in Biomedical Engineering     Hybrid Journal   (Followers: 19)
IEEE Signal Processing Letters     Hybrid Journal   (Followers: 60)
IEEE Solid-State Circuits Magazine     Hybrid Journal   (Followers: 11)
IEEE Spectrum     Full-text available via subscription   (Followers: 227)
IEEE Technology and Society Magazine     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Advanced Packaging     Full-text available via subscription   (Followers: 8)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 79)
IEEE Transactions on Applied Superconductivity     Hybrid Journal   (Followers: 5)
IEEE Transactions on Automation Science and Engineering     Full-text available via subscription   (Followers: 13)
IEEE Transactions on Autonomous Mental Development     Hybrid Journal   (Followers: 8)
IEEE Transactions on Biomedical Engineering     Hybrid Journal   (Followers: 35)
IEEE Transactions on Broadcasting     Hybrid Journal   (Followers: 11)
IEEE Transactions on Circuits and Systems II: Express Briefs     Hybrid Journal   (Followers: 20)
IEEE Transactions on Components and Packaging Technologies     Full-text available via subscription   (Followers: 17)
IEEE Transactions on Control Systems Technology     Hybrid Journal   (Followers: 111)
IEEE Transactions on Education     Hybrid Journal   (Followers: 11)
IEEE Transactions on Electronics Packaging Manufacturing     Hybrid Journal   (Followers: 21)
IEEE Transactions on Energy Conversion     Hybrid Journal   (Followers: 16)
IEEE Transactions on Engineering Management     Hybrid Journal   (Followers: 75)

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IEEE Transactions on Engineering Management
Journal Prestige (SJR): 0.734
Citation Impact (citeScore): 2
Number of Followers: 75  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0018-9391
Published by IEEE Homepage  [228 journals]
  • Frontcover

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      Abstract: Presents the front cover for this issue of the publication.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • IEEE Technology and Engineering Management Society

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      Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • IEEE Technology and Engineering Management Society

    • Free pre-print version: Loading...

      Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Blank Page

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      Abstract: This page or pages intentionally left blank.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Ranking the Alternatives With a Modified TOPSIS Method in Multiple
           Attribute Decision Making Problems

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      Authors: S. Abootalebi;A. Hadi-Vencheh;A. Jamshidi;
      Pages: 1800 - 1805
      Abstract: In this article, we present a method for ranking alternatives in multiple attribute decision making (MADM) and group MADM problems. Our method first determines the importance of separations of each decision from positive ideal solution and negative ideal solution and then computes the relative closeness of each alternative. The alternatives are ranked based on relative closeness. The method is illustrated using three examples and the results are compared with other methods.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Data-Driven Approach for Extracting Representative Information From
           Large Datasets With Mixed Attributes

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      Authors: Feng Wu;Xin Huang;Bin Jiang;
      Pages: 1806 - 1822
      Abstract: The rapid growth of information technology and Internet applications has provided users with an explosion of information. Mobile e-commerce applications and web search engines are of great interest in extracting representative information from the original abundant information. However, the information extracted by several existing methods, such as top-k, are often quite similar, which is difficult to meet users’ demand for diversified information. In order to increase the diversity of representative information, this article proposes a data-driven approach to automatically identifying a subset of the original dataset that can cover more themes and content. The data-driven approach consists of two stages. First, a new unified similarity measure is proposed for handling dataset with categorical and numeric attributes. We inject external knowledge and attribute interactions into the similarity learning process to improve the accuracy of similarity estimation between data objects. Second, we develop an enhanced density peaks clustering algorithm based on shared nearest neighbors to automatically identify representative objects according to the previous estimated similarity. The enhanced density peaks algorithm takes the local structure in the entire data space into consideration, which makes the proposed approach relatively insensitive to variations in dataset’ density and dimensionality. Theoretical analysis demonstrates that the time complexity of the proposed approach can achieve the best $boldsymbol{O}({boldsymbol{N}log boldsymbol{N}})$. Extensive comparison experiments were conducted on artificial and real-world datasets. The experimental results demonstrate the effectiveness and robustness of the proposed approach.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Exploring the Relation Among Product Complexity, Team Seniority, and
           Project Performance as a Path for Planning New Product Development
           Projects: A Predictive Model Applying the System Dynamics Theory

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      Authors: Sanderson César Macêdo Barbalho;Marly Monteiro de Carvalho;Patrícia Melo Tavares;Carlos H. Llanos;Giselle Amaral Leite;
      Pages: 1823 - 1836
      Abstract: For complex new product development (NPD) projects, traditional planning techniques have failed in realistic planning. Consequently, project performance has poor results, despite the dissemination of project management knowledge. This research aims to investigate the relationship between product complexity and team seniority as planning parameters for the NPD project, exploring the effect on project performance. The research applies a system dynamics model for simulating the influence of these parameters on project performance, particularly relating schedule and scope dimensions. In this article, we compare the impact of different relations between product complexity and team seniority on three projects in order to test the method. Only the product primary functions must be taken into account for gathering data from product complexity, and team seniority must be known. Besides, the decision-maker applies a first-order linear model to a goal-seeking background to predict the project schedule for a specified product scope. The results show that the model predicts the project schedule performance with an error of less than 15%, as compared to the actual projects’ performance.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A New Model for Failure Mode and Effects Analysis Based on k-Means
           Clustering Within Hesitant Linguistic Environment

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      Authors: Chun-Yan Duan;Xu-Qi Chen;Hua Shi;Hu-Chen Liu;
      Pages: 1837 - 1847
      Abstract: Failure mode and effects analysis (FMEA) is a systematic and proactive risk prevention and management tool used to improve the reliability and safety of a system, process or service. However, many defects around the traditional FMEA affect the effectiveness of its practical applications. When dealing with the FMEA problems, the first and the most important step is to collect the risk assessment information of experts regarding failure modes. Moreover, clustering failure modes is more adaptable to actual needs, especially under a tight resource constraint. In this article, a new FMEA model using double hierarchy hesitant fuzzy linguistic term sets (DHHFLTSs) and k-means clustering is developed to evaluate and cluster the risk of failure modes. First, the DHHFLTSs are utilized to describe the complex linguistic assessments on failure modes given by FMEA team members. Next, an improved k-means algorithm is proposed and used to cluster failure modes into priority classes. Finally, a case study concerning the risk evaluation over floating offshore wind turbine is provided to illustrate the effectiveness and usefulness of our proposed FMEA. The results show that the new risk classification approach is more reasonable and practical for risk management decision making.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Modeling and Optimization Approaches for Satellite Broadcast Scheduling
           Problem

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      Authors: Sezgin Kilic;Omer Ozkan;
      Pages: 1848 - 1864
      Abstract: A low Earth orbit (LEO) satellite system has a range of missions delivering economic, environmental, and social benefits utilized by everyone almost every day. However, there exists a challenge for operational management of satellites in LEO because they are not accessible from a given point of earth at all times. In that case, a problem evolves that should be solved is to find a valid broadcasting pattern between satellites and ground stations. Nevertheless, being defined as the satellite broadcast scheduling (SBS) problem almost three decades ago, the few numbers of published studies on the problem used a restricted variety of solution approaches. The recent advances in information technology and tremendous undergoing change in the industrial automation entails handling the SBS problem more comprehensively and propose innovative solution approaches. This article proposes and evaluates three metaheuristic approaches for the SBS problem. A relaxation and decomposition approach is also proposed for generating tighter upper bounds to make justified performance evaluations. Besides the benchmark problems reported in the literature, new benchmark instances are generated and used in computational experiments. Results are evaluated to be promising and highlight the effectiveness and robustness of the proposed approaches.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Application of Novel MCDM for Location Selection of Surface Water
           Treatment Plant

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      Authors: Sudipa Choudhury;Prasenjit Howladar;Mrinmoy Majumder;Apu Kumar Saha;
      Pages: 1865 - 1877
      Abstract: Surface water treatment plants (SWTPs) are responsible for supplying treated water to urban or rural consumers to satisfy the demand of the proximal population for drinking water. One important reason why an SWTP may fail is the poor selection of its location. This article proposes an automated framework for decision making which was developed empirically to identify a location objectively and cognitively, with consideration of all relevant indicators, selected in relation to their role in ensuring the optimality of SWTP performance. Thus, a new multicriteria decision making method was developed to identify the most common and significant indicators and to develop an index that would capture the feasibility of a given location for the installation of an SWTP. In addition to this method, another novel predictive model was developed, based on a polynomial neural network architecture and bagged modeling, to automate the process of the feasibility assessment of the location. These two models were developed and utilized for the first time for the automatic assessment of location feasibility for an SWTP installation. The prototype application of the two new models concerned a few test locations of a peri-urban metro city, located in northeast India, where the results obtained from the model seconded the real scenario for the test locations. The results encourage further application of this process.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Development of a Technology Commercialization Model for Indian
           Biotechnology Firms

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      Authors: Snehal Tawate;Ruchita Gupta;Karuna Jain;
      Pages: 1878 - 1890
      Abstract: Commercialization of technology is vital to the survival and success of biotechnology firms, which offer solutions to key environmental concerns, such as air pollution, soil pollution, and climate change. Although a number of technology commercialization models have been proposed, the specific requirements of biotechnology commercialization, which include specialized infrastructure, intense research and development interactions, time-sensitive decision making, and pilot scaling have been addressed in the limited way in the previous literature. In this article, we study the process of technology commercialization through in-depth interviews with managers of biotechnology firms in India and propose a commercialization model that is tailored to biotechnology firms operating in an Indian setting. With the help of a two-tailed multiple case study design, we develop a commercialization model that identifies six new subprocesses and three valleys of death. The model can assist managers and entrepreneurs throughout the commercialization journey by defining objectives, activities, and outcomes of each of the 18 subprocesses of technology commercialization. Biotechnology firms can use this model to minimize errors, reduce time to market, and ensure time-sensitive decision making.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Determinants of Using Standards to Upgrade Chinese Industrial Structure
           From the Context of Sectoral System of Innovation

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      Authors: Benjamin H. L. Tzeng;Ming-Yeu Wang;Shiuh-Sheng Hsu;Benjamin J. C. Yuan;
      Pages: 1891 - 1901
      Abstract: Standards have profound effects on industrial productivity, international trade, and economic growth. For latecomer countries such as China, standards, and standardization are an important means to upgrade their industrial structure. Using the framework of a sectoral system of innovation, this article leverages China's hardware industry to investigate the relationships among factors that influence the performance of industrial upgrading via standards. Expert opinions and the decision making trial and evaluation laboratory method are used to evaluate the relationships. The evaluation results show that if some firms in a system have the capability to execute standardization and innovation, with the support of the government to build and shape standardization institutions and infrastructures, the knowledge and technological capabilities of the entire industry can be enhanced, leading to the gradual introduction of high-quality standardized products into markets by firms even as they move toward more knowledge-intensive segments. This article contributes to two academic fields. First, standards are an important but often neglected topic in the innovation system literature. This article not only investigates the neglected topic but also explores the mechanism through which standards influence industrial upgrading at the meso-level. Second, several previous studies assumed that the drivers of supplier upgrades in developing countries are mostly driven by powerful buyer firms that are based in advanced countries. However, this article finds that customer requirement is not the most influential driver of the industrial upgrading of developing countries.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Conceptual Method and Empirical Practice of Building Digital Capability of
           Industrial Enterprises in the Digital Age

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      Authors: Jun Li;Jian Zhou;Yu Cheng;
      Pages: 1902 - 1916
      Abstract: Systematically identification and building of digital capability in the Digital Age are of great significance to the obtainment of enterprises’ sustainable competitive advantages. This article first proposes typical application paradigms for the general framework of building digital capability of industrial enterprises in the Digital Age (FBDC) announced as international standard. Then data of over 4100 practical cases of building digital capabilities using FBDC by over 4000 Chinese industrial enterprises are collected. Based on the data, major directions, core implementations of digital capabilities building are systematically demonstrated through statistical analysis. Furthermore, we divide the investigated enterprises into different groups by sector, then organize in-depth research works to illustrate the major directions and typical practices of building digital capabilities in China's raw materials sector, equipment sector, and consumer goods sector. The results show that the major concerns of Chinese industrial enterprises building digital capabilities are centered on six aspects: R&D and innovation, production management and control, supply chain management, financial management and control, business management, and customer service. The results of sector-wise analysis also provide practical reference to industrial enterprises and other stakeholders to identify suitable digital capability based on information and communication technologies application in the Digital Age and efficiently implement the digital capability building process.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Risk Assessment Framework for Scheduling Projects With Resource and
           Duration Uncertainties

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      Authors: Ripon K. Chakrabortty;Alireza Abbasi;Michael J. Ryan;
      Pages: 1917 - 1931
      Abstract: This article investigates the impacts of uncertainties in duration and resource availability and usage on project time and cost. This is done by modeling different scenarios as relevant resource-constrained project scheduling problems. The aim is to develop a scheduling risk assessment framework (SRAF) to model uncertainties in duration and resources and to observe their impact on project objectives (i.e., completion time and cost). This framework provides appropriate information for managers and decision makers and facilitates project planning (scheduling and budgeting) by incorporating uncertainties and risks. To visualize the risk, this article uses an extended version of the integrated definition standard as the example business process. To demonstrate the applicability of the proposed SRAF under varied dynamic conditions, we have considered and solved a practical case study using a self-developed heuristic approach, titled enhanced move-based local search heuristic. The computational results and useful insights open an avenue for future research in the field of project management, which will provide some important propositions or guidelines for project management practitioners.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • White Collar Crime: Unearthing Collusion in the Procurement of
           Infrastructure Projects

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      Authors: Regis Signor;Peter E. D. Love;Lavagnon A. Ika;
      Pages: 1932 - 1943
      Abstract: Engineers and other construction professionals need to take the lead to clarify the facts when a possible fraud in public infrastructure procurement is identified. A robust approach for producing scientific evidence to determine the presence of collusive bidding where questionable confessions need to be proven in court is presented. The concepts of game theory are used to demonstrate that economic principles support the confessions of senior executives from a cartel of 16 large construction companies. Relying on the confessions and defendants’ statements from the Brazilian Federal Police's anti-corruption investigation referred to as “Operation Car Wash,” the article demonstrates that the behavior of criminals was conscious and intentional rather than incidental, proving the mens rea necessary to establish the white-collar crime of collusion.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Impact of Firm Size and Business Strategy on Response to Service
           Disruptions: Evidence From the U.S. Domestic Airline Industry

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      Authors: Mahour Parast;Davood Golmohammadi;
      Pages: 1944 - 1957
      Abstract: In this article, data from the U.S. domestic airline industry to examine the impact of firm size and business strategy on the effect of service disruptions (cancellations and delays) on service quality (customer dissatisfaction) is used. We test our hypotheses by fitting fixed-effects models to longitudinal data obtained from the U.S. Department of Transportation. The findings suggest that there is a significant relationship between service disruptions and service quality. The results show that both airline size and airline business strategy have moderating impacts on the relationship between service disruptions and service quality. We find the negative impacts of delays and cancellations on service quality are more pronounced for network airlines than for low-cost airlines. The impact of service disruptions on service quality is less significant for larger airlines when the rate of cancellations is low. As the rate of cancellations increases, the service quality of larger airlines is increasingly affected, and the effect is more pronounced compared to the effect on the smaller airlines, suggesting a moderating impact of firm size. Overall, our empirical results show that the relationship between service disruptions and service quality is being moderated by both a firm's size and a firm's business strategy.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Multiobjective Aggregate Production Planning Model for Lean
           Manufacturing: Insights From Three Case Studies

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      Authors: Masoud Rahiminezhad Galankashi;Najmeh Madadi;Syed Ahmad Helmi;Abd. Rahman Abdul Rahim;Farimah Mokhatab Rafiei;
      Pages: 1958 - 1972
      Abstract: This article proposes a multiobjective mathematical model to optimize the multiperiod aggregate production planning (APP) of multiproduct companies. Although there are many studies of lean manufacturing (LM), its integration with APP has not been studied. The present article is intended to integrate APP and LM, including an analysis of market winners, market qualifiers, and waste. The model's objective functions include the cost, lead time, and waste minimization in addition to maximizing the product quality. A solution procedure is suggested to solve the model using IBM CPLEX 12.4 software. The model is investigated in three different case studies to check its applicability and generalizability. According to the obtained results, the proposed model provides an optimized APP with regard to the major concerns of LM, including waste, overproduction, time, and sourcing. In addition, according to the sensitivity analysis, lean weighting of the objective functions provides a better output than using equal weighting.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • How Do Firms Achieve Successful Technology Commercialization? Evidence
           From Chinese Manufacturing Firms

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      Authors: Xu Jiang;Gang Wang;Dirk De Clercq;Xiang Yi;
      Pages: 1973 - 1986
      Abstract: Organizational capabilities, such as technological capabilities and marketing capabilities are key determinants of the success of technology commercialization (TC). However, literature has rarely explored how firms combine and balance these two potentially interrelated yet competing capabilities in pursuing successful TC. Adopting insights from the ambidexterity perspective, this article examines the tensions and interplay between technological capabilities and marketing capabilities, and conceptualizes the simultaneous pursuit of both capabilities as capability ambidexterity. We propose that, having a balancing capability (properly matching technological capabilities and marketing capabilities to avoid conflicts), a combining capability (effectively utilizing both capabilities), and simultaneously applying the balancing capability and the combining capability positively affect TC success. We also identify human resource-based conditions (high-commitment work systems) as a contingency under which the balancing capability and the combining capability are more likely to promote TC success. We report results from a sample of 262 Chinese manufacturing firms (based on a total of 524 respondents) that provide general support for the proposed model. Our results contribute to a better understanding of capability-based explanations of TC.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Taxonomy of New Product Development Process Risks: An Empirical Study of
           Indian Automotive Industry

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      Authors: Avanish Singh Chauhan;Bimal Nepal;Gunjan Soni;Ajay Pal Singh Rathore;
      Pages: 1987 - 1998
      Abstract: New products are major sources of competitive advantage and success for most of the manufacturing enterprises. New product development (NPD) processes are getting increasingly complex due to today's globalized market and customers’ desire for technologically advanced products. This complexity comes along with added risks in the NPD process in terms of both number and severity, making it riskier and costly. Thus, the risk factors occurring in the NPD process need to be pre-emptively recognized at an early stage of the NPD process. This article provides a comprehensive study of the prevalent risk factors in the NPD process and proposes taxonomy of those risks based on an empirical research on Indian automotive industry. Exploratory and confirmatory factor analyses techniques are utilized to classify a large number of risks (obtained via systematic literature review and Delphi method) into seven underlying risk dimensions. The results of this article would help researchers and practitioners in developing a better understanding of the risk factors existing in their NPD projects and serve as a risk reference framework.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Analysis of Barriers to Closed-Loop Supply Chain: A Case of the Indian
           Automotive Industry

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      Authors: Manjot Singh Bhatia;Suresh Kumar Jakhar;Manoj Dora;
      Pages: 1999 - 2013
      Abstract: Closed-loop supply chain (CLSC) implementation has become imperative for organizations owing to resource scarcity and generation of toxic waste. However, CLSC implementation can be very challenging due to several barriers, especially in an emerging manufacturing hub such as India. This article identifies and analyzes the prominent barriers to CLSC implementation in the Indian automotive sector. Further, this article also examines causal relationships between the barriers. A total of 22 barriers to CLSC implementation are identified from the literature and subsequently, validated by industry experts. The finalized barriers are then evaluated by analytical hierarchy process and grey–decision making trial and evaluation laboratory techniques. This article provides managers and policy makers with insights on the most prominent and causal barriers, and recommends strategies to overcome these barriers. The findings will help managers to frame short-term and long-term strategies to mitigate barriers to CLSC and contribute toward successful implementation of CLSC.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Interactive Weighting Method Concerning Consistency, Inadequacy,
           Complementary and Supplementary Properties of Criteria

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      Authors: Amirhossein Mostofi;Sameer Kumar;Vipul Jain;Charu Chandra;Mojtaba Arab Momeni;
      Pages: 2014 - 2025
      Abstract: In most multicriteria decision-making methods, several options are ranked according to numerous criteria. In the decision-making process, experts often determine the importance weight of the criteria by comparing them to each other or with ideal solutions. With increasing criteria, the decision-making process becomes more complex, and the compatibility of judgments is reduced. Another problem is the inadequacy of criteria at different levels of the decision-making process. A high-level criterion can be considered, which includes several subcriteria. The subcriteria considered may not include all of the possible subcriteria because they could be unknown to decision-makers or could not be measured and used by decision-makers. Hence, the assumption that the importance weight of the subcriteria equals one (for example, in the analytic hierarchy process method) may not always be accurate. In this article, a new decision-making method is proposed based on Shapley's value that can extract the importance weight of criteria at different levels by considering the consistency between subcriteria. Additionally, an interactive top–down decision-making approach is presented for compatible judgments. The proposed method is applied to determine the importance weights of criteria in a sustainable supplier selection problem, and we show how the method could facilitate the extraction of the importance weight and address the inadequacy and dependency properties between the criteria.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Design Management Agent-Based Model for New Product Development

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      Authors: Felipe Zapata-Roldan;Nasir Jamil Sheikh;
      Pages: 2026 - 2038
      Abstract: Organizations develop different methodologies for product, customization, and improvement. In time, the best-known methods and practices are established and standardized for new product development. However, to enhance performance and outcomes, customization is typically needed and requires additional time and effort, requiring a high learning curve. An approach of operational planning to ascertain projected outcomes for a variety of scenarios is agent-based modeling and simulation. This study focuses on product design, an essential aspect of new products. An agent-based model (ABM) has been developed using a paradigm of the design management organizational function represented by four autonomous agents, their actions, and interactions. The objective is to assess the aggregate emergent behavior of the design management organization. Research questionnaires are used to obtain data consisting of agent characteristics from firms covering services and manufacturing, across multiple industry sectors. An initial network of design-related agents was developed based on the collected data. Simulation of the model provided data consisting on a time series of units sold by the simulated organization. NetLogo-based simulations indicated responsiveness in organizational behavior when customer satisfaction drops, in terms of fitness to specifications. This behavior resulted in reversing negative trends in units sold. The time scale of the simulation, metric levels, and behavior was validated using sales data from a company in the electronics manufacturing industry. This model provides guidance on how to configure new product development teams, modifying designer hiring processes, scheduling product development committees, and plan customer feedback collection.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Crisis-Critical Intellectual Property: Findings From the COVID-19 Pandemic

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      Authors: Frank Tietze;Pratheeba Vimalnath;Leonidas Aristodemou;Jenny Molloy;
      Pages: 2039 - 2056
      Abstract: A pandemic calls for large-scale action across national and international innovation systems in order to mobilize resources for developing and manufacturing crisis-critical products efficiently and in the huge quantities needed. Nowadays, these products also include a wide range of digital innovations. Given that many responses to the pandemic are technology driven, stakeholders involved in the development and manufacturing of crisis-critical products are likely to face intellectual property (IP)-related challenges. To (governmental) decision makers, IP challenges might not appear to be of paramount urgency compared to the many undoubtedly huge operational challenges to deploy critical resources. However, if IP challenges are considered too late, they may cause delays to urgently mobilize resources effectively. Innovation stakeholders could then be reluctant to fully engage in the development and manufacturing of crisis-critical products. This article adopts an IP and innovation perspective to learn from the currently unfolding COVID-19 pandemic using secondary data, including patent data, synthesized with an IP roadmap. We focus on technical aspects related to research, development, and upscaling of capacity to manufacture crisis-critical products in the huge volumes suddenly in demand. In this article, we offer a set of contributions. We provide a structure, framework, and language for those concerned with steering clear of IP challenges to avoid delays in fighting a pandemic. We provide a reasoning why IP needs to be considered earlier rather than too late in a global health crisis. Major stakeholders we identify include 1) governments; 2) manufacturing firms owning existing crisis-critical IP (incumbents in crisis-critical sectors); 3) manufacturing firms normally not producing crisis-critical products suddenly rushing into crisis-critical sectors to support the manufacturing of crisis-critical products in the quantities that far exceed -ncumbents’ production capacities; and 4) voluntary grassroot initiatives that form during a pandemic, often by highly skilled engineers and scientists in order to contribute to the development and dissemination of crisis-critical products. For these major stakeholders, we draw up three scenarios, from which we identify associated IP challenges they face related to the development and manufacturing of technologies and products for 1) prevention (of spread); 2) diagnosis of infected patients; and 3) the development of treatments. This article provides a terminology to help policy and other decision makers to discuss IP considerations during pandemics. We propose a framework that visualizes changing industrial organizations and IP-associated challenges during a pandemic and derive initial principles to guide innovation and IP policy making during a pandemic. Obviously, our findings result only from observations of one ongoing pandemic and thus need to be verified further and interpreted with care.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Will There Be Disruptive Innovation? Identifying Profitable Niche Segments
           and Product Designs for Small- and Medium-Sized Companies and Startups

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      Authors: Hyunhong Choi;Joongha Ahn;JongRoul Woo;
      Pages: 2057 - 2072
      Abstract: When an established incumbent already exists in the market, new entrants may consider special entrance strategies for entering that market. Disruptive innovation theory suggests that new entrants may start from a low-end market and then expand into mainstream markets. A recent debate on the theory has questioned its generalizability, but such controversy originates from the attempt to apply it to any business success by a new entrant. However, different innovations require the application of different theories. Therefore, this article identifies a profitable niche market for startups and small- and medium-sized companies based on consumer preferences and determines whether disruptive innovation is likely to emerge in a particular market context. Specifically, this article investigates whether the low-end market is the profitable niche market for market entrance. It uses a choice experiment and a hierarchical Bayesian normal mixture model capable of capturing preference heterogeneity at both the individual and the segment levels to predict market entry implications in an ex-ante fashion for the wearable device market in South Korea. The characteristics of the identified niche market segment and entry product design imply that startups and small and medium-sized companies should be cautious when applying disruptive innovation theory in this context.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Socioeconomic and Political Issues in Transportation Public–Private
           Partnership Failures

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      Authors: Mohsin Ali Soomro;Yongkui Li;Yilong Han;
      Pages: 2073 - 2087
      Abstract: Transportation public–private partnership (PPP) projects are long-term projects that usually break the status quo of public ownership. In fact, opposition to PPP projects stems from a variety of factors, such as political influence to favor certain interest groups and high toll prices. Close examination reveals that vulnerability to societal and political domains originates at certain individual points and creates a complex web of problems as it propagates through different socioeconomic and political levels and project stages. This article attempts to unveil such complex and problematic trends by analyzing ten failed transportation PPP projects to identify critical socioeconomic and political failure factors. Employing questionnaire surveys and path analysis, a failure-mechanism model is developed to depict all possible transportation PPP project vulnerabilities to the socioeconomic and political domains. This article's failure-mechanism model could act as a vulnerability-prediction model for transportation PPP practitioners in the public and private sectors, and it can help better understand socioeconomic and political issues’ impacts to transportation PPP projects.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • An Empirical Study Into the Limitations and Emerging Trends of Six Sigma:
           Findings From a Global Survey

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      Authors: Jiju Antony;Michael Sony;Leopoldo Gutierrez;
      Pages: 2088 - 2101
      Abstract: The purpose of this article is to identify and evaluate the limitations and emerging trends of Six Sigma from the perspectives of Six Sigma experts. The authors developed an online global survey and deployed the survey to 1250 Six Sigma experts of which 307 experts responded. The article finds integration of Six Sigma with Big Data to be the topmost among Asian, South American, and African experts, whereas European and North American experts felt Six Sigma in Small and Medium Sized Enterprises and Micro-enterprises would be very beneficial. The manufacturing sector experts nominated the topmost emerging trend as Six Sigma in Small and Medium Sized Enterprises and Micro-enterprises to be very challenging and will be rewarding if implemented properly. In the service sector, the topmost emerging trend was the integration of Six Sigma with Big Data. However, public sector experts felt variance reduction should not be the only goal of Six Sigma implementation. The that master black belts perceived Six Sigma in Small and Medium Sized Enterprises and Micro-enterprises would be advantageous, whereas Black and Green Belts perceived Integration of Six Sigma with Big Data to be topmost emerging trend.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Moderating Effects of Firm's and Industrial Co-Inventive
           Networks on the Relationship Between R&D Employees’ Mobility and Firm
           Creativity

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      Authors: Chaoying Tang;Gupeng Zhang;
      Pages: 2102 - 2116
      Abstract: Knowledge is the primary factor for firm creativity that is mostly embedded in employees. Meanwhile, R&D employee mobility is quite frequently in high technology firms. This situation suggests a critical management task of firm creativity and innovation: how to retain the knowledge of the current R&D employee and benefit from the knowledge brought by new R&D employees to improve firm creativity. Based on extant studies which found that the collaboration network correlated with employees’ knowledge retention, knowledge flow, and cognitive lock-in this article proposed that the characteristics of a firm's co-inventive network and industrial co-inventive network moderate the influence of R&D employees’ mobility on firm creativity. Empirical results based on the Chinese firms’ invention patents in the information and communication technology industry demonstrate that the highly connected firm's co-inventive networks impair the damage of R&D employees’ outward mobility to firm creativity. Moreover, the firm's low degree of centrality in the industrial co-inventive network decreases the contribution of R&D employees’ inward mobility to firm creativity, and the firm's low betweenness centrality in the industrial co-inventive network helps it obtain the benefit from R&D employees’ inward mobility. We discussed these results, which are meaningful to both R&D managers and industrial policymakers.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Interpersonal Boundary Spanning for Supplier Integration in Complex NPD

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      Authors: Alan O'Sullivan;
      Pages: 2117 - 2128
      Abstract: Managers often express a desire for better new-product development (NPD) through supplier integration but are just as often unsure how to bring this about and so underutilize a buy strategy or even forgo it altogether. This article argues that integrating suppliers’ design teams in complex NPD requires addressing the fundamental need in these relations for mutual transparency amongst the actors such that they may adaptively substitute knowledge exchanges for their inability to specify otherwise the finished product and subsystem designs. Reporting on a case study of a jet-aircraft development project, lower level boundary spanners are shown to enable this adaptive coordination by selectively deploying from amongst three different boundary-spanning modes to coordinate for the kind of knowledge flow necessary to the situation at hand. Formalization, colocation, and buyer cross-functionality are found to be contingencies important to one or other of these modes. This article offers implications for how better to coordinate a buy strategy for complex NPD, taking also into account the scope of supplier involvement and the level of innovation in the project.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Unblackboxing Smart Things—A Multilayer Taxonomy and Clusters of
           Nontechnical Smart Thing Characteristics

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      Authors: Louis Christian Püschel;Maximilian Röglinger;Ramona Brandt;
      Pages: 2129 - 2143
      Abstract: The Internet of Things (IoT), which describes the equipment of physical objects with sensors, actuators, computing logic, and connectivity, has attracted much attention. Although many facets of the IoT have already been explored, existing works either treat smart things as black box or focus on their technical characteristics. From an engineering management perspective, however, also a profound understanding of nontechnical smart thing characteristics is key. Hence, in this article, we develop and evaluate a corresponding multilayer taxonomy based on the latest IoT literature and a deliberately broad sample of 200 smart things, which covers the diversity of smart things available on the market. Based on 11 dimensions, the taxonomy enables classifying smart things according to the layers of established IoT architectures. Based on our sample, we infer five clusters, each covering a typical combination of nontechnical smart thing characteristics occurring in practice. These results extend our understanding of the IoT by structuring nontechnical characteristics of smart things and by abstracting the diversity of smart things into artefacts with manageable complexity. Our results inspire future research on the adoption, affordances, and design of smart things. Moreover, engineering managers can use our results in early phases of product development and process reengineering projects.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Identifying the Determinants of Innovation Capability With Machine
           Learning and Patents

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      Authors: Linda Ponta;Gloria Puliga;Luca Oneto;Raffaella Manzini;
      Pages: 2144 - 2154
      Abstract: Innovation capability (IC) is a fundamental firms’ strategic asset to sustain competitive advantage. In this article, relying on patent data, patents forward citations are used as proxy of IC and the main patents numerical and categorical variables are considered as proxy of IC determinants. The main purpose of this article is to understand which patents features are relevant to predict IC, i.e., which are the determinants of IC within patents. Three different algorithms of machine learning, widely applied to model real-world phenomena, regularized least squares, deep neural networks, and random forest are applied for this investigation. Results show that the most important patent features useful to predict IC refer to internal determinants, such as the technological scope of the company (technological domains and International Patent Classification classes), the backward citations, and technical concepts. Some external variables are also relevant, such as the family size, a time-related variable, and the timespan between the youngest and oldest patent of the family. Implications from this article concern two perspectives. From a methodological perspective, the study shows the usefulness of machine learning approaches in simplifying the decision-making process as they reduce the number of variables to be considered to investigate the company’s IC and they provide accurate and easily interpretable result. From a managerial standpoint, this article points out the few and relevant patent variables to be considered when dealing with patents and IC.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Value of Information Sharing in Online Retail Supply Chain Considering
           Product Loss

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      Authors: Dandan Gao;Nengmin Wang;Bin Jiang;Jie Gao;Zhen Yang;
      Pages: 2155 - 2172
      Abstract: This article investigates the impact of information sharing on supply chain performance when considering the product loss in e-commerce. By characterizing four information sharing mechanisms, we analyze the optimal information sharing decisions on bullwhip effects and inventory costs in near/far-distance e-commerce contexts. The analytical results reveal the vital significance of product loss information to bullwhip and cost reductions. Particularly, in far-distance e-commerce, if the online retailer only shares the demand information, the wholesaler may suffer an even worse bullwhip effect than that without information sharing. Moreover, the impacts of product loss reveal the supply chain characteristic difference between fragile products and ordinary products in e-commerce. Our research generates important managerial insights regarding supply chain management and provides practical guidelines for online retailers and wholesalers optimizing their information sharing decisions according to different e-commerce contexts.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Dynamic and Ordinary Capabilities: A Project Management Perspective

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      Authors: Nicholas Ashill;Paul Williams;Mohammed Sajid Khan;Earl Naumann;
      Pages: 2173 - 2186
      Abstract: The project management literature has typically focused on project efficiency measures, such as time, cost, and quality, but rarely examined broader measures of project success, such as customer satisfaction and customer loyalty. In this article, we apply a resource-based theory framework and examine both ordinary and dynamic capabilities of the firm and their influence on customer satisfaction and repurchase intentions. We also include the firm's corporate reputation and explore its moderating influences on variables in the model. Data from 491 project managers indicate that one dynamic capability (relational) is three times stronger at predicting customer satisfaction than one of the ordinary capabilities (project). Another dynamic capability (product) is not a significant predictor of customer satisfaction. Customer satisfaction is the strongest determinant of repurchase intentions and fully mediate the impact of the firm's dynamic and ordinary capabilities on repurchase intentions. When the sample is split according to corporate reputation, for the group who saw the focal firm reputation ranked first in industry, the project (ordinary) capabilities and relational (dynamic) capabilities have similar influences on satisfaction. However, for the group who saw other firms’ reputation ranked first, relational capabilities are stronger than project capabilities at predicting satisfaction.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Domain Mapping Matrix-Based Metric for Measuring System Design Complexity

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      Authors: Sungjoon Jung;Kaushik Sinha;Eun Suk Suh;
      Pages: 2187 - 2195
      Abstract: Modern engineering systems are increasing in complexity and demanding higher levels of performance, safety, durability, and quality. This has led to an increase in the number of functional requirements and system elements. Subsequently, meeting the target performances and schedules requires more design effort and cost. To ensure on-time development and delivery of the final system, engineers need to allocate the right amount of available resources to design and develop various subsystems. However, estimating the efforts required to design and develop a system and its constituents during the early design stage is significantly challenging. Often, initial estimations are made by subject matter experts who base their judgments on the perceived difficulty of designing the subsystems. In this article, to quantify the perceived design difficulty, a new metric based on the degree of relationship between the system requirements and elements is proposed. This metric utilizes the domain mapping matrix and matrix energy to quantify the complexity of system design. Using the proposed metric, the relationship between system design complexity and design difficulty perceived by engineering experts is established and demonstrated through a case study involving a column-type electric power steering system.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Ranking Model for the Selection and Ranking of Commercial Off-the-Shelf
           Components

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      Authors: Rakesh Garg;
      Pages: 2196 - 2204
      Abstract: In this article, a deterministic model for the selection and ranking of commercial off-the-shelf (COTS) components is developed on the basis of fuzzy modified distance-based approach (FMDBA). The COTS selection and ranking problem is modeled as multicriteria decision making problem due to the involvement of multiple ranking criteria like functionality, reliability, compatibility, etc. FMDBA is the combination of the fuzzy set theory and the modified distance-based approach. To show the working of the developed ranking model, a case study of the e-payment system is demonstrated which aims on the selection and ranking of eight COTS components over four major categories of ranking criteria. FMDBA provides a comprehensive ranking of the components based on their calculated composite distance values. To depict the docility of FMDBA method, the results obtained are also compared with the existing decision-making methodologies.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Organizational Tools and Cultural Change in the Success of Lean
           Transformations: Delving Into Sequence and Rhythm

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      Authors: Antonio Sartal;Xosé H. Vázquez;Luis M. Lozano-Lozano;
      Pages: 2205 - 2217
      Abstract: Even if the original seminal authors developed the tools used in lean manufacturing (LM) as inherently culture-dependent, western companies have found a variety of alternatives to implement them. We can simplify them by theoretically identifying two different extreme approaches that in real life are normally combined with diverse intensities: one emphasizes the intrinsically efficient nature of lean tools (lean-toolbox perspective), whereas the other stresses the cultural side (lean-culture perspective). The inappropriate interaction between both approaches has been put at the root of the low success rate of LM in non-Japanese firms. On the one hand, there is no agreement on which sequence to follow regarding managerial tools and cultural change during lean transformation processes. On the other hand, there are also different views on what the correct rhythm should be, since the pace at which organizational tools and cultural transformation occur can also determine the synergies that both can generate. This article synthesizes and compares empirically the different perspectives and tests them in a wide dataset of 1692 North American manufacturing firms. Results suggest that cultural change does not moderate or precede lean transformations, but instead totally mediates the relation between the deployment of tools and enhanced plant performance. These findings not only offer managers a tentative sequence and rhythm in the deployment of lean tools and values but also offer a relevant theoretical byproduct: the integration of Western and Japanese approaches.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Organizational Architecture, Resilience, and Cyberattacks

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      Authors: Gloria Appiah;Joseph Amankwah-Amoah;Yu-Lun Liu;
      Pages: 2218 - 2233
      Abstract: This article develops a unique model of organizational resilience architecture with an emphasis on the ways in which organizations respond to cyberattacks. The model elucidates the dynamics and approaches through which organizations mobilize and utilize expertise and resources to combat the effects of cyberattacks on normal business operations. Drawing on recent cases of cyberattacks against organizations, the article identifies a host of strategic and tactical responses victims used to aid recovery and return to daily activities. The responses are grouped into three stages to demonstrate the steps that organizations can take to enhance their resilience: Stage 1 focuses on proactive environmental scanning and locating potential threats and attacks, Stage 2 emphasizes neutralizing threats and attacks, and Stage 3 focuses on redesigning, upgrading, and updating human, technological, and financial resources. On this basis, the article sheds light on levels of organizational resilience and strategies for organizational design in withstanding cyberattacks and security breaches. The theoretical and practical implications of these findings are discussed.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Explaining Changes in Supplier Involvement in Complex New Product
           Development: A Resource Orchestration Perspective

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      Authors: Raphaël G. M. Smals;Robert A. W. Kok;Armand A. J. Smits;
      Pages: 2234 - 2247
      Abstract: The purpose of this article is to explain the forces that change supplier involvement aimed at developing complex new product generations over a period of time longer of about 15 years. Using innovation and supply chain management literature on buyer–supplier relationships and alliances, we describe the theoretical background of supplier involvement and changes therein. Results from exploratory cases show that a different pattern of factors drives firms to decrease the level of supplier involvement across consecutive generations of complex new products compared to an increase in the level of supplier involvement. Taking a research orchestration perspective on consecutive new complex product development projects and depending on the starting conditions, firms may not only aim at getting complementary technological resource access enabled by pioneering relationship capabilities in order to shift from Whitebox to Blackbox supplier involvement. They may also aim at technology enrichment bundling processes that require divesting complementary resource access in order to shift from Blackbox to Whitebox supplier involvement. By accounting for changes through time across generations of new products, this article contributes to the literature on supplier involvement in new product development that investigates the drivers of changes in supplier involvement in new product development and their interplay.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Heterogeneous Regret-Theory-Based Method With Choquet Integral to
           Multiattribute Reverse Auction

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      Authors: Huchang Liao;Zhiying Zhang;Zeshui Xu;Audrius Banaitis;
      Pages: 2248 - 2259
      Abstract: For practical multiple attribute decision making problems, it is common to involve heterogeneous attribute information and a rational choice may be distorted by the judgments of decision-makers due to their limited personal cognition. In this regard, this article puts forward an integrated model to solve multiple attribute decision-making problems considering the interaction among heterogeneous attributes based on the regret theory. First, a target-based utility function that is in line with people's perceptions is developed. Based on this function, the specific utilities of different forms of performance scores, including crisp numbers, interval numbers, and hesitant fuzzy sets, are given. Then, the regret theory is used to identify the partial perceived utilities of alternatives on each attribute, which include the utility, regret, and rejoicing values of decision-makers. In addition, to address both positive and negative interactions among attributes, the Choquet integral is employed to derive the global utilities of alternatives. An application to determine the optimal provider of waste classification service in multiattribute reverse auction is given, and the corresponding comparative and sensitive analyses verify the applicability and effectiveness of the proposed method.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Channel Integration Choices and Pricing Strategies for Competing
           Dual-Channel Retailers

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      Authors: Ronghui Wang;Guofang Nan;Lin Chen;Minqiang Li;
      Pages: 2260 - 2274
      Abstract: The “buy online and pick up in store” (BOPS) mode is gaining tremendous popularity among retailers since it is convenient for consumers and brings additional store sales to retailers. However, operating the BOPS channel requires additional investment, which is a challenge for retailers. This article considers the pricing strategies of competing dual-channel retailers, focuses on whether and when they should adopt the BOPS strategy, and explores the impacts of market factors on the equilibrium outcomes. Since retailers’ decisions are usually made sequentially in reality, we use the Stackelberg game model to analyze retailers’ optimal strategies. First, we show that the follower's price is not always lower than the leader's price. Specifically, when the unit additional profit from cross-selling of the follower is low enough, the follower will set a higher price than the leader. Second, we find that retailers prefer the BOPS strategy when the fixed costs for offering BOPS channels are low enough, or when the difference between the additional profits from cross-selling of two retailers is sufficiently large. Third, we present an interesting insight: an increase in product return probability or retailer cost of handling a returned product can be beneficial to retailers.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Impact of R&D Investments on Eco-Innovation: A Cross-Cultural
           Perspective of Green Technology Management

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      Authors: Beatrice Orlando;Luca Vincenzo Ballestra;Veronica Scuotto;Marco Pironti;Manlio Del Giudice;
      Pages: 2275 - 2284
      Abstract: This article originally seeks to explore the impact of R&D investments and societal culture on green technology management, by applying Hofstede's cross-cultural perspective. At large, we investigate if green innovation is positively associated to country cultural indulgence, as this factor indicates that basic needs are already satisfied and there is room for looking into hierarchically higher concerns. We also argue that governments’ expenditures in green innovation tend to be more effective than those of firms, because governments are more willing to invest and risk in radical innovations than businesses. The analysis is conducted on a large-scale sample of data drawn from Eurostat, including information on R&D expenditures and on eco-innovation index from European firms and governments. The results confirm our model hypotheses: governments’ investments largely predict eco-innovation, differently from firms’ expenditures. Moreover, as supposed, country's cultural indulgence has a positive effect on the eco-innovation index as well.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Performance Appraisal of Knowledge Workers Using Augmented Additive Ratio
           Assessment (A-ARAS) Method: A Case Study

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      Authors: Hossein Karimi;Zahra Nikkhah-Farkhani;
      Pages: 2285 - 2295
      Abstract: Evaluating knowledge workers performance has always been one of the main concerns of knowledge-based organizations. The purpose of this article is to present two new versions of the additive ratio assessment (ARAS) method called Augmented ARAS (A-ARAS1 and A-ARAS2) that improve the rank reversal phenomenon of ARAS using some iterative methods to evaluate the optimal performance of knowledge workers. The study population consisted of the Academic Center for Education, Culture, and Research in Mashhad, Iran, which has been contributing to national development through the expansion of knowledge and applied research since 1995. The performance appraisal index was weighted using the best-worst method and then analyzed by the ARAS, A-ARAS1, and A-ARAS2. The results indicated that the A-ARAS1 and A-ARAS2 models outperformed the previous version of ARAS in terms of the performance appraisal of knowledge workers and that the ARAS model needed to be revised to improve performance appraisal.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • QFD-Based Product Design for Multisegment Markets: A Fuzzy
           Chance-Constrained Programming Approach

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      Authors: Xinghua Fang;Yixuan Shen;Jian Zhou;Athanasios A. Pantelous;Mingxuan Zhao;
      Pages: 2296 - 2310
      Abstract: Modern companies are moving rapidly toward more customer-oriented approaches for new product design and development. In real-world applications, customer requirements are more diverse and rather heterogeneous in practice, which requires the targeted market to be multisegmented. In this article, employing the quality function deployment (QFD) and assuming that parameter uncertainty exists, we propose a new fuzzy QFD model for use in multisegment markets, to search for optimal engineering characteristics by maximizing the overall customer satisfaction score. Under that framework, and when the credibility measure is employed, we adopt a fuzzy chance-constrained programming setting to convert the fuzzy model into its crisp counterpart. Afterwards, an analytical method based on fuzzy operational law is proposed to further transform the chance-constrained programming into an equivalent explicit model that can be solved directly by a standard commercial software. For a targeted group of customers, a new yoghurt design is presented to illustrate the effectiveness and superiority of our treatment. We report that our methodology not only permits the selection of the preferred solution based on an acceptable level of risk, which is very important in practice, but also guarantees higher customer satisfaction scores. This fact extends the fuzzy QFD methodology to a wider range of applications.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Role of the Government in the Knowledge Spillover Theory of
           Entrepreneurship: A Firm-Level Analysis

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      Authors: Chengli Shu;Menglei Gu;Cuijuan Liu;David B. Audretsch;
      Pages: 2311 - 2325
      Abstract: Despite the critical roles of knowledge filters and knowledge spillovers in the knowledge spillover theory of entrepreneurship (KSTE), the impact of knowledge filters on knowledge spillovers at the firm level remains underexplored. This article thus extends the KSTE to the firm level by directly investigating the effects of knowledge filters on knowledge spillovers (employee venturing behaviors) in incumbent firms. Moreover, based on the KSTE and institutional theory, we examine how regulatory institution (government support) and the enforceability of it (government transparency) moderate the effect of knowledge filters in incumbent firms on their employee venturing behaviors. We collect survey data from the Chinese pharmaceutical industry as it is knowledge intensive and entrepreneurially active by using a multi-informant method, that is, two senior managers from every responding company were interviewed on site by using structured questionnaires. To further minimize bias, we combine the survey data with provincial secondary data to test research hypotheses. Our findings reveal that the positive link between incumbent firms’ knowledge filters and employee venturing behaviors is enhanced by government policy support and government tax support. Furthermore, government transparency strengthens the moderating effect of government policy support whereas it weakens the moderating role of government tax support on the link between knowledge filters and employee venturing behaviors. Overall, this article explores the key proposition of the KSTE framework at the firm level, thus constructing the microfoundation of the KSTE, and substantiates the importance of integrating regulatory institutions into the firm-level KSTE.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Fostering Environmentally Responsible Consumer Behavior: A Hierarchical
           Approach Toward Smartphone Recycling

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      Authors: Min-Jhih Cheng;Shiu-Wan Hung;Her-Her Tsai;Yin-Chen Chou;
      Pages: 2326 - 2336
      Abstract: Previous studies have explored consumers’ environmentally responsible intentions regarding many industries and products; however, research on the sustainability of smartphones is limited. This article develops an integrated cross-level model to assess the factors that foster environmentally responsible consumer behavior, which is demonstrated by the willingness to recycle smartphones. Data from 358 consumers were collected and analyzed using hierarchical linear modeling and the decomposed theory of planned behavior, which take into account antecedent factors. The outcomes of this article may provide a better understanding of consumer attitudes on smartphone recycling, such that expedient engineering and public policies can be put in place to facilitate it.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Face Tells the Truth: How Male Entrepreneur's Facial Masculinity
           Predicts New Venture Corporate Illegality

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      Authors: Mijia Gong;Zhe Zhang;Ming Jia;
      Pages: 2337 - 2348
      Abstract: Prior research studies how chief executive officers’ (CEOs’) demographic characteristics, such as gender and age, impact firm unethical behaviors. However, the effect of CEOs’ biological traits on corporate illegality is not fully known. Grounded in the approach/inhibition theory of power, this article analyzes whether and how one of male entrepreneurs’ most obvious genetically determined biological traits, facial masculinity, predicts the corporate illegality of new ventures. Biological traits are mainly genetically determined. They not only shape an individual's psychological process, but also impact behaviors. Recently, scholars repeatedly call for incorporating entrepreneurs’ biological traits into entrepreneurship research. Based on a sample of Chinese firms listed in the growth enterprise market from 2010 to 2016, we identify and quantify male entrepreneurs’ facial masculinity with the artificial intelligence facial recognition technology Face++. We find a positive relationship between male entrepreneurs’ facial masculinity and new venture corporate illegality. Moreover, we explore the moderating role of individual differences (personal accountability) and social factors (social instability). These factors decrease the likelihood of male entrepreneurs with more facial masculinity to engage in new ventures corporate illegality. Although the facial masculinity of firm leaders may benefit firms by improving firm performance, our results show that there is a need to consider this stably biological trait when predicting unethical behaviors among new ventures.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Contingent Effects of New Venture's Improvisational Capability
           and Ambidextrous Search

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      Authors: Zhengyun Rui;Xifang Ma;
      Pages: 2349 - 2360
      Abstract: Despite the growing interests on the construct of improvisation, there is a limited understanding of the specific conditions under which improvisational capability can be shaped and effectively drive the performance. This article explores the antecedents and outcomes of the new venture's improvisational capability. We propose that the “proactive-reactive” search helps build improvisational capability in the interaction with environmental turbulence. Based on a sample of 257 Chinese start-ups, the hierarchical linear regression model was used to test hypotheses. We find that, in fast-changing environments, proactive search has an enhanced positive association with improvisational capability, but under low environmental turbulence, only the reactive search is effectual. Our findings also demonstrate that the effect of improvisational capability in driving a new firm's performance depends on the level of environmental turbulence.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • The Moderating Role of Corruption in the Inverted U-Shaped Relationship
           Between Red Tape and Private Investment in PPP Projects: Evidence From
           Developing Countries

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      Authors: Wanyu Zhao;Liguo Wang;Xin Ning;Lei Ju;Yujia Mu;
      Pages: 2361 - 2373
      Abstract: Government environment is the main determinant in attracting private investment into public–private partnership (PPP) projects, especially in developing countries. Red tape, an indicator of a government's efficiency, plays a critical role in private investment in PPP projects. Reasonable levels of red tape can enhance government transparency and promote private investment, while excessive red tape usually represents low governance efficiency and imposes further risk on private investors. This article explores how developing countries’ red tape affects private investment in PPP projects by examining the moderating effect of corruption. Analyzing a database of 308 PPP projects in 111 developing countries, the study reveals an inverted U-shaped relationship between red tape and private investment. Corruption weakens the positive relationship between red tape and private investment at low levels of red tape and mitigates their negative relationship at high levels. The study integrates the inconsistent results of previous research that postulated either a positive or negative relationship between red tape and private investment by proposing a nonlinear model. It also theorizes the moderating effect of corruption based on real management practice and illustrates its mechanism in absorbing private investment in PPP projects.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Is New Always Better? How Business Model Innovation Affects Consumers’
           Adoption Behavior

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      Authors: Fabian Futterer;Sven Heidenreich;Patrick Spieth;
      Pages: 2374 - 2385
      Abstract: Business model innovation (BMI) has recently been praised as a source of competitive advantage and a driver of company performance. However, empirical evidence on performance effects of BMI on marketing metrics is still scarce. This article applies a large-scale consumer experiment (n = 896) to empirically investigate whether and how innovating different BM elements affects consumers' adoption intention of innovated BMs. The results show that effects of BMI on consumers’ adoption intentions vary significantly, being strongest for innovations in the value offering architecture. Moreover, the strength of the effect on adoption intention also increased with the perceived degree of innovativeness for some of the business model elements. Yet, the surplus of simultaneously innovating several BM elements is kept in limits, as a diminishing marginal utility is found for each additionally innovated element.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Does More CEO Ambivalence Lead to Higher Organizational Ambidexterity? A
           Paradoxical Perspective

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      Authors: Yongchuan Bao;Wenlong Yuan;Yongjian Bao;Bradley Olson;
      Pages: 2386 - 2398
      Abstract: To cope with discontinuous change, recent research advocates to implement ambidexterity in which firms pursue exploitative innovation and exploratory innovation simultaneously. While previous studies on the determinants of organizational ambidexterity focused primarily on the organizational characteristics and the behavior of top management teams, a growing body of research calls attention to the role of the paradoxical cognitive frame of top managers in managing organizational ambidexterity. This article examines whether CEO ambivalence—a paradoxical cognitive frame that accepts and accommodates the presence of both threats and opportunities of a strategic issue such as a crisis—drives or hinders organizational ambidexterity. Moreover, although both exploitation and exploration require the deployment of technological capability, whether technological capability inhibits or facilitates managerial cognition to adapt to environmental change remains a puzzle to be solved. Based on the theory of paradoxical cognitive frame, this article predicts that CEO ambivalence follows a U-shaped effect on organizational ambidexterity while technological capability amplifies the curvilinear effect. A longitudinal survey among 260 CEOs of Chinese firms provides empirical support to the hypotheses. The research findings contain rich theoretical and managerial implications.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Global Study Into the Reasons for Lean Six Sigma Project Failures: Key
           Findings and Directions for Further Research

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      Authors: Jiju Antony;Fabiane Letícia Lizarelli;Marcelo Machado Fernandes;
      Pages: 2399 - 2414
      Abstract: A low success rate of improvement projects is one of the causes of the discontinuity of lean six sigma (LSS) initiatives in companies. It is essential to identify and evaluate the reasons why LSS improvement projects fail in order to enable LSS, Lean, and six sigma sustainability. This article presents the findings from a global survey conducted with 201 LSS experts around the world in both the service and manufacturing sectors. The results of this article point out the significant failure rates for LSS projects and alert that projects had higher termination rates in the measure and analyze phases [define, measure, analyze, improve, and control (DMAIC)]. Failures occur primarily at the corporate level. The main causes of project failures identified were the lack of commitment by top management, resistance to change, inadequate rewards and recognition mechanisms, inconsistent monitoring and control of the projects, and poor communication. This article shows that there are some minor differences in terms of ranking of these factors between the manufacturing and service sectors, but there is a significant difference in terms of continent and belt level (master black belts, black belts, and green belts).
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Team Leader Job Anxiety and Team Innovation: The Roles of Self-Serving
           Behavior and Psychological Entitlement

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      Authors: Wan Jiang;Huimin Zhang;Linlin Wang;Chundong Zheng;
      Pages: 2415 - 2425
      Abstract: In this article, we identify leader job anxiety as a critical leader emotion relevant to team innovation. Integrating the literature on job anxiety and innovation and treating leader self-serving behavior as a mediator, we explore the relationship between leader job anxiety and team innovation. Further, we hypothesize and examine leader psychological entitlement as a moderator of the relationship. We conducted two studies to test our hypotheses. In Study 1, we used multisource data gathered from 69 team leaders and 210 team members of a high-tech software company in Northern China. In Study 2, we used a multisource, time-lagged research design to collect data from 121 team leaders and 404 team members of a large biopharmaceutical company in Northern China. We found that leader job anxiety positively relates to leader self-serving behavior and that leader psychological entitlement positively moderates this relationship. In addition, leader self-serving behavior mediates the negative relationship between leader job anxiety and team innovation. Further, we discuss theoretical and practical implications related to work teams and team innovation.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Technology Transfer Channels and Innovation Efficiency: Empirical Evidence
           From Chinese Manufacturing Industries

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      Authors: Furong Qian;Jin Hong;Bojun Hou;Tony Fang;
      Pages: 2426 - 2438
      Abstract: This article analyzes the effects of three channels of technology transfer—global value chain participation (GVCP), foreign technology import (FTI), and domestic technology purchase (DTP)—on innovation efficiency by using 11 years of data from Chinese manufacturing industries. Empirical results show FTI and GVCP significantly facilitate innovation efficiency, whereas DTP decreases it. Further, absorptive capacity (AC) positively moderates the relationship between FTI and innovation efficiency. Moreover, in the high-tech industry, we find that GVCP positively affects innovation efficiency, and AC positively moderates the effect of GVCP on innovation efficiency. This finding is informative from a strategic perspective as firms can make strategic decisions in the selection of technology transfer channels. In addition, firms may also absorb and apply external technologies while developing AC to improve enterprises' ability according to their own organizational and strategic contexts in order to achieve and maintain competitive advantages. This finding provides convincing empirical evidence on the relationship between technology transfer channels and innovation efficiency and valuable lessons to other developing countries for the selection of technology transfer channels.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Critical Success Factors of Industry 4.0 in Automotive Manufacturing
           Industry

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      Authors: Manjot Singh Bhatia;Saurabh Kumar;
      Pages: 2439 - 2453
      Abstract: Industry 4.0 (I4) technologies are gaining increased importance in the manufacturing industry, as they can provide several benefits such as an increase in efficiency, lower costs, higher revenues, etc. This article empirically examines the critical success factors (CSF) for implementing I4 technologies in Indian automotive manufacturing industry. In this regard, CSF and performance outcomes of I4 technologies are identified from published literature. The relationships between CSF and performance outcomes are then examined by regression analysis. The results indicate that “Data governance” is the most critical factor, as it affects all the four performance outcomes (operational, product, economic, and responsiveness). Similarly, “Legal aspects” affects three out of the four performance outcomes (operational, product, and economic performance), while “Collaboration and teamwork” affects only operational performance and responsiveness. The study provides an understanding of factors which are critical in achieving performance outcomes about I4 technologies in the automotive manufacturing industry. The findings can also help automotive manufacturing firms toward an informed decision making in terms of various strategies required to adopt I4 technologies successfully.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • A Cost Minimization Resource Allocation Model for Disaster Relief
           Operations With an Information Crowdsourcing-Based MCDM Approach

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      Authors: Deepshikha Sarma;Amrit Das;Pankaj Dutta;Uttam Kumar Bera;
      Pages: 2454 - 2474
      Abstract: The occurrence of a sudden, calamitous, and unfortunate event requires a quick response that can reduce damage and save lives, fulfilling the basic humanitarian needs of the affected population. National or international organizations and agencies may be initiated to provide assistance but local agencies need to act as soon as possible, because they are familiar with the geographical location as well as the local conditions of the affected areas. Effective coordination of disaster assistance is often crucial, particularly when resources are limited in the local agencies and the demands are more. In such conditions, it becomes a challenging job for the agencies to distribute resources so that the resources are optimally used. This article is initiated to address the challenging fact by introducing the concept of priority measure for demands. In this regard, ranking of the affected areas based on resource requirement for a disaster scenario is evaluated through a multicriteria decision-making process. A formula is developed to find the numerical value of priority factor collecting the responses of requirement of relief materials using information crowdsourcing. To this contingent, a three-echelon emergency solid transportation problem is formulated, in which the demand with the most priority is fulfilled by the local agencies in echelon-I, and the remaining demand is fulfilled by the other national or international agencies in echelon-II along with a restoration of local agencies in echelon-III. A numerical example is presented for the sake of model performance and to test the convergence using LINGO and CPLEX optimization solvers. The model is also designed using a genetic algorithm to obtain the optimal solution. Moreover, a brief analysis of the model is presented by considering 11 different numerical instances to enhance the efficacy of the model in real-life applications.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • TechRxiv: Share Your Preprint Research with the World!

    • Free pre-print version: Loading...

      Pages: 2475 - 2475
      Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
  • Be the force behind change

    • Free pre-print version: Loading...

      Pages: 2476 - 2476
      Abstract: Advertisement.
      PubDate: Oct. 2022
      Issue No: Vol. 69, No. 5 (2022)
       
 
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