for Journals by Title or ISSN
for Articles by Keywords
help
  Subjects -> MATHEMATICS (Total: 955 journals)
    - APPLIED MATHEMATICS (82 journals)
    - GEOMETRY AND TOPOLOGY (20 journals)
    - MATHEMATICS (706 journals)
    - MATHEMATICS (GENERAL) (43 journals)
    - NUMERICAL ANALYSIS (22 journals)
    - PROBABILITIES AND MATH STATISTICS (82 journals)

MATHEMATICS (706 journals)                  1 2 3 4 | Last

Showing 1 - 200 of 538 Journals sorted alphabetically
Abakós     Open Access   (Followers: 4)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 3)
Academic Voices : A Multidisciplinary Journal     Open Access   (Followers: 2)
Accounting Perspectives     Full-text available via subscription   (Followers: 7)
ACM Transactions on Algorithms (TALG)     Hybrid Journal   (Followers: 15)
ACM Transactions on Computational Logic (TOCL)     Hybrid Journal   (Followers: 3)
ACM Transactions on Mathematical Software (TOMS)     Hybrid Journal   (Followers: 6)
ACS Applied Materials & Interfaces     Full-text available via subscription   (Followers: 27)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1)
Acta Mathematica     Hybrid Journal   (Followers: 11)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2)
Acta Mathematica Scientia     Full-text available via subscription   (Followers: 5)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6)
Acta Mathematica Vietnamica     Hybrid Journal  
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal  
Advanced Science Letters     Full-text available via subscription   (Followers: 9)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 3)
Advances in Calculus of Variations     Hybrid Journal   (Followers: 2)
Advances in Catalysis     Full-text available via subscription   (Followers: 5)
Advances in Complex Systems     Hybrid Journal   (Followers: 6)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 18)
Advances in Decision Sciences     Open Access   (Followers: 3)
Advances in Difference Equations     Open Access   (Followers: 3)
Advances in Fixed Point Theory     Open Access   (Followers: 5)
Advances in Geosciences (ADGEO)     Open Access   (Followers: 13)
Advances in Linear Algebra & Matrix Theory     Open Access   (Followers: 2)
Advances in Materials Sciences     Open Access   (Followers: 14)
Advances in Mathematical Physics     Open Access   (Followers: 3)
Advances in Mathematics     Full-text available via subscription   (Followers: 10)
Advances in Numerical Analysis     Open Access   (Followers: 4)
Advances in Operations Research     Open Access   (Followers: 12)
Advances in Porous Media     Full-text available via subscription   (Followers: 5)
Advances in Pure and Applied Mathematics     Hybrid Journal   (Followers: 6)
Advances in Pure Mathematics     Open Access   (Followers: 5)
Advances in Science and Research (ASR)     Open Access   (Followers: 4)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2)
African Journal of Educational Studies in Mathematics and Sciences     Full-text available via subscription   (Followers: 5)
African Journal of Mathematics and Computer Science Research     Open Access   (Followers: 4)
Afrika Matematika     Hybrid Journal   (Followers: 1)
Air, Soil & Water Research     Open Access   (Followers: 11)
AKSIOMA Journal of Mathematics Education     Open Access   (Followers: 1)
Al-Jabar : Jurnal Pendidikan Matematika     Open Access  
Algebra and Logic     Hybrid Journal   (Followers: 5)
Algebra Colloquium     Hybrid Journal   (Followers: 4)
Algebra Universalis     Hybrid Journal   (Followers: 2)
Algorithmic Operations Research     Full-text available via subscription   (Followers: 5)
Algorithms     Open Access   (Followers: 11)
Algorithms Research     Open Access   (Followers: 1)
American Journal of Computational and Applied Mathematics     Open Access   (Followers: 5)
American Journal of Mathematical Analysis     Open Access  
American Journal of Mathematics     Full-text available via subscription   (Followers: 6)
American Journal of Operations Research     Open Access   (Followers: 5)
American Mathematical Monthly     Full-text available via subscription   (Followers: 6)
An International Journal of Optimization and Control: Theories & Applications     Open Access   (Followers: 8)
Analele Universitatii Ovidius Constanta - Seria Matematica     Open Access   (Followers: 1)
Analysis     Hybrid Journal   (Followers: 2)
Analysis and Applications     Hybrid Journal   (Followers: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 4)
Analysis Mathematica     Full-text available via subscription  
Annales Mathematicae Silesianae     Open Access  
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4)
Annales UMCS, Mathematica     Open Access   (Followers: 1)
Annales Universitatis Paedagogicae Cracoviensis. Studia Mathematica     Open Access  
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1)
Annals of Combinatorics     Hybrid Journal   (Followers: 3)
Annals of Data Science     Hybrid Journal   (Followers: 11)
Annals of Discrete Mathematics     Full-text available via subscription   (Followers: 6)
Annals of Mathematics     Full-text available via subscription  
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 12)
Annals of Pure and Applied Logic     Open Access   (Followers: 2)
Annals of the Alexandru Ioan Cuza University - Mathematics     Open Access  
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1)
Annals of West University of Timisoara - Mathematics     Open Access  
Annuaire du Collège de France     Open Access   (Followers: 5)
ANZIAM Journal     Open Access   (Followers: 1)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2)
Applications of Mathematics     Hybrid Journal   (Followers: 1)
Applied Categorical Structures     Hybrid Journal   (Followers: 2)
Applied Computational Intelligence and Soft Computing     Open Access   (Followers: 11)
Applied Mathematics     Open Access   (Followers: 3)
Applied Mathematics     Open Access   (Followers: 6)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 6)
Applied Mathematics - A Journal of Chinese Universities     Hybrid Journal  
Applied Mathematics Letters     Full-text available via subscription   (Followers: 1)
Applied Mathematics Research eXpress     Hybrid Journal   (Followers: 1)
Applied Network Science     Open Access   (Followers: 3)
Applied Numerical Mathematics     Hybrid Journal   (Followers: 5)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 4)
Arab Journal of Mathematical Sciences     Open Access   (Followers: 3)
Arabian Journal of Mathematics     Open Access   (Followers: 2)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 2)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5)
Archive of Numerical Software     Open Access  
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5)
Arkiv för Matematik     Hybrid Journal   (Followers: 1)
Armenian Journal of Mathematics     Open Access  
Arnold Mathematical Journal     Hybrid Journal   (Followers: 1)
Artificial Satellites : The Journal of Space Research Centre of Polish Academy of Sciences     Open Access   (Followers: 20)
Asia-Pacific Journal of Operational Research     Hybrid Journal   (Followers: 3)
Asian Journal of Algebra     Open Access   (Followers: 1)
Asian Journal of Current Engineering & Maths     Open Access  
Asian-European Journal of Mathematics     Hybrid Journal   (Followers: 2)
Australian Mathematics Teacher, The     Full-text available via subscription   (Followers: 6)
Australian Primary Mathematics Classroom     Full-text available via subscription   (Followers: 4)
Australian Senior Mathematics Journal     Full-text available via subscription   (Followers: 1)
Automatic Documentation and Mathematical Linguistics     Hybrid Journal   (Followers: 5)
Axioms     Open Access   (Followers: 1)
Baltic International Yearbook of Cognition, Logic and Communication     Open Access   (Followers: 1)
Basin Research     Hybrid Journal   (Followers: 5)
BIBECHANA     Open Access   (Followers: 2)
BIT Numerical Mathematics     Hybrid Journal  
BoEM - Boletim online de Educação Matemática     Open Access  
Boletim Cearense de Educação e História da Matemática     Open Access  
Boletim de Educação Matemática     Open Access  
Boletín de la Sociedad Matemática Mexicana     Hybrid Journal  
Bollettino dell'Unione Matematica Italiana     Full-text available via subscription   (Followers: 1)
British Journal of Mathematical and Statistical Psychology     Full-text available via subscription   (Followers: 21)
Bruno Pini Mathematical Analysis Seminar     Open Access  
Buletinul Academiei de Stiinte a Republicii Moldova. Matematica     Open Access   (Followers: 11)
Bulletin des Sciences Mathamatiques     Full-text available via subscription   (Followers: 4)
Bulletin of Dnipropetrovsk University. Series : Communications in Mathematical Modeling and Differential Equations Theory     Open Access   (Followers: 1)
Bulletin of Mathematical Sciences     Open Access   (Followers: 1)
Bulletin of Symbolic Logic     Full-text available via subscription   (Followers: 2)
Bulletin of the Australian Mathematical Society     Full-text available via subscription   (Followers: 1)
Bulletin of the Brazilian Mathematical Society, New Series     Hybrid Journal  
Bulletin of the London Mathematical Society     Hybrid Journal   (Followers: 4)
Bulletin of the Malaysian Mathematical Sciences Society     Hybrid Journal  
Calculus of Variations and Partial Differential Equations     Hybrid Journal  
Canadian Journal of Science, Mathematics and Technology Education     Hybrid Journal   (Followers: 18)
Carpathian Mathematical Publications     Open Access   (Followers: 1)
Catalysis in Industry     Hybrid Journal   (Followers: 1)
CEAS Space Journal     Hybrid Journal   (Followers: 2)
CHANCE     Hybrid Journal   (Followers: 5)
Chaos, Solitons & Fractals     Hybrid Journal   (Followers: 3)
ChemSusChem     Hybrid Journal   (Followers: 7)
Chinese Annals of Mathematics, Series B     Hybrid Journal  
Chinese Journal of Catalysis     Full-text available via subscription   (Followers: 2)
Chinese Journal of Mathematics     Open Access  
Clean Air Journal     Full-text available via subscription   (Followers: 1)
Cogent Mathematics     Open Access   (Followers: 2)
Cognitive Computation     Hybrid Journal   (Followers: 4)
Collectanea Mathematica     Hybrid Journal  
College Mathematics Journal     Full-text available via subscription   (Followers: 4)
COMBINATORICA     Hybrid Journal  
Combinatorics, Probability and Computing     Hybrid Journal   (Followers: 4)
Combustion Theory and Modelling     Hybrid Journal   (Followers: 14)
Commentarii Mathematici Helvetici     Hybrid Journal   (Followers: 1)
Communications in Combinatorics and Optimization     Open Access  
Communications in Contemporary Mathematics     Hybrid Journal  
Communications in Mathematical Physics     Hybrid Journal   (Followers: 2)
Communications On Pure & Applied Mathematics     Hybrid Journal   (Followers: 3)
Complex Analysis and its Synergies     Open Access   (Followers: 2)
Complex Variables and Elliptic Equations: An International Journal     Hybrid Journal  
Complexus     Full-text available via subscription  
Composite Materials Series     Full-text available via subscription   (Followers: 8)
Compositio Mathematica     Full-text available via subscription   (Followers: 1)
Comptes Rendus Mathematique     Full-text available via subscription   (Followers: 1)
Computational and Applied Mathematics     Hybrid Journal   (Followers: 2)
Computational and Mathematical Methods in Medicine     Open Access   (Followers: 2)
Computational and Mathematical Organization Theory     Hybrid Journal   (Followers: 2)
Computational Complexity     Hybrid Journal   (Followers: 4)
Computational Mathematics and Modeling     Hybrid Journal   (Followers: 8)
Computational Mechanics     Hybrid Journal   (Followers: 5)
Computational Methods and Function Theory     Hybrid Journal  
Computational Optimization and Applications     Hybrid Journal   (Followers: 7)
Computers & Mathematics with Applications     Full-text available via subscription   (Followers: 8)
Concrete Operators     Open Access   (Followers: 5)
Confluentes Mathematici     Hybrid Journal  
Contributions to Game Theory and Management     Open Access  
COSMOS     Hybrid Journal  
Cryptography and Communications     Hybrid Journal   (Followers: 12)
Cuadernos de Investigación y Formación en Educación Matemática     Open Access  
Cubo. A Mathematical Journal     Open Access  
Current Research in Biostatistics     Open Access   (Followers: 9)
Czechoslovak Mathematical Journal     Hybrid Journal   (Followers: 1)
Demographic Research     Open Access   (Followers: 10)
Demonstratio Mathematica     Open Access  
Dependence Modeling     Open Access  
Design Journal : An International Journal for All Aspects of Design     Hybrid Journal   (Followers: 29)
Developments in Clay Science     Full-text available via subscription   (Followers: 1)
Developments in Mineral Processing     Full-text available via subscription   (Followers: 3)
Dhaka University Journal of Science     Open Access  
Differential Equations and Dynamical Systems     Hybrid Journal   (Followers: 3)
Differentsial'nye Uravneniya     Open Access  
Discrete Mathematics     Hybrid Journal   (Followers: 8)
Discrete Mathematics & Theoretical Computer Science     Open Access  
Discrete Mathematics, Algorithms and Applications     Hybrid Journal   (Followers: 2)
Discussiones Mathematicae - General Algebra and Applications     Open Access  
Discussiones Mathematicae Graph Theory     Open Access   (Followers: 1)
Diskretnaya Matematika     Full-text available via subscription  
Dnipropetrovsk University Mathematics Bulletin     Open Access  
Doklady Akademii Nauk     Open Access  
Doklady Mathematics     Hybrid Journal  
Duke Mathematical Journal     Full-text available via subscription   (Followers: 1)
Eco Matemático     Open Access  
Edited Series on Advances in Nonlinear Science and Complexity     Full-text available via subscription  
Electronic Journal of Differential Equations     Open Access  
Electronic Journal of Graph Theory and Applications     Open Access   (Followers: 2)
Electronic Notes in Discrete Mathematics     Full-text available via subscription   (Followers: 2)
Elemente der Mathematik     Full-text available via subscription   (Followers: 4)

        1 2 3 4 | Last

Journal Cover Computational and Mathematical Organization Theory
  [SJR: 0.278]   [H-I: 19]   [2 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1381-298X - ISSN (Online) 1572-9346
   Published by Springer-Verlag Homepage  [2352 journals]
  • Collective action in organizational structures
    • Authors: Sergio F. Góngora y Moreno; J. Octavio Gutierrez-Garcia
      Pages: 1 - 33
      Abstract: Public goods games played by a group of individuals collectively performing actions towards a common interest characterize social dilemmas where both competition and cooperation are present. By using agent-based simulation, this paper investigates how collective action in the form of repeated n-person linear public goods games is affected when the interaction of individuals is driven by the underlying hierarchical structure of an organization. The proposed agent-based simulation model is based on generally known empirical findings about public goods games and takes into account that individuals may change their profiles from conditional cooperators to rational egoists or vice versa. To do so, a fuzzy logic system was designed to allow the cumulative modification of agents’ profiles in the presence of vague variables such as individuals’ attitude towards group pressure and/or their perception about the cooperation of others. From the simulation results, it can be concluded that collective action is affected by the structural characteristics of hierarchical organizations. The major findings are as follows: (1) Cooperation in organizational structures is fostered when there is a collegial model defining the structure of the punishment mechanisms employed by organizations. (2) Having multiple, and small organizational units fosters group pressure and highlights the positive perception about the cooperation of others, resulting in organizations achieving relatively high aggregate contribution levels. (3) The greater the number of levels, the higher the aggregate contribution level of an organization when effective sanctioning systems are introduced.
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9244-6
      Issue No: Vol. 24, No. 1 (2018)
       
  • Understanding ambidexterity at the individual level: task assignment
           perspective
    • Authors: Kihoon Hong; Gun Jea Yu; Eunjung Hyun
      Pages: 34 - 50
      Abstract: While previous studies on ambidexterity have focused on the antecedents or consequences of organizational ambidexterity, not many studies have attempted to explore ambidexterity at the individual level. This study intends to fill such gap and provides arguments on the effects of three different types of task assignment (exploration only, exploitation only, and both exploration and exploitation) on individual performance to understand ambidexterity. We adopted a single-agent simulation model and examined the relationship between the three types of task assignment and individual performance measured by the knowledge creation level. Individual attitude toward risk and tension between exploration and exploitation are considered in our simulation model. The findings suggest that the assignment of the ambidextrous task (both exploration and exploitation) generates the highest individual performance under some conditions, which negates the assumption that individuals find it difficult to handle both exploration and exploitation.
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9245-5
      Issue No: Vol. 24, No. 1 (2018)
       
  • A comprehensive approach in designing a sustainable closed-loop supply
           chain network using cross-docking operations
    • Authors: Saeid Rezaei; Amirsaman Kheirkhah
      Pages: 51 - 98
      Abstract: In today’s competitive world, it is unavoidable to provide a new efficient approach in the cycle of production and supplying. The problem of designing a supply chain network is included in strategic decisions in this area, and short-term changing the structure and configuration of logistics networks is almost impossible due to assigned much time and cost. This paper develops a comprehensive model for designing a sustainable closed-loop supply chain network based on economic, environmental and social requirements, both with applying cross-docking operations in the mentioned network. Utilizing the cross-docking system—as a new strategy of supply chain—along with simultaneous considering the above triple dimensions—economic, environmental and social requirements—in a comprehensive and sustainable approach offers a novel research scope in the wide range of problems related to supply chain network design, and in this regards, helps organizations improve their competitive advantage in different industries. For these reasons, in this study, a multi-objective mixed-integer linear programming model is developed, and in order to solve this NP-hard problem, a cuckoo optimization algorithm is utilized—as the first attempt in this area. Finally, to test the efficiency of the proposed metaheuristics, it is compared with other strong algorithms illustrating a quite well performance.
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9247-3
      Issue No: Vol. 24, No. 1 (2018)
       
  • The meso-unit theory of post-merger integration
    • Authors: Terrill L. Frantz
      Pages: 99 - 111
      Abstract: This article introduces the meso-unit theory of post-merger integration. The theory offers that the number of constituent work-units involved in an organizational merger has a greater detrimental effect on the time-to-integration than does the total number of constituent personnel involved. Its establishment is based on the results of controlled experiments conducted in a virtual laboratory. The simulation utilizes agent-based modeling software that encapsulates organizational behavior models such as the knowledge-based view of the firm, social and communication network theory, and CONSTRUCT theory. The software is configured for a two-organization merger and implements classic behavior dynamics to simulate communicative behavior of information-seeking actors. As a result, detailed micro- and macro-level data on the integration progress is available for examination, analysis and interpretation. The results give rise to the development of the meso-unit theory, which directs integration managers’ attention toward a key aspect of the integration that is often overlooked.
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9248-2
      Issue No: Vol. 24, No. 1 (2018)
       
  • An agent based model of the evolution of supplier networks
    • Authors: David C. Earnest; Ian F. Wilkinson
      Pages: 112 - 144
      Abstract: We view supply chains as a type of complex adaptive system and develop an agent based computer simulation model of the evolution and performance of supply chains based on Stuart Kauffman’s NK models of fitness landscapes. Firms operate in networks in which they supply products to some firms and source inputs from others. They seek to maximize their own performance but they cooperate with other firms to gain access to inputs. We model firm performance in terms of the fit of its product with market demand and the contribution from first tier suppliers. The model uses genetic algorithms to mimic the way firms learn and adapt their products and supplier networks for more and less complex products and different switching conditions. We find that (a) as the complexity of the product increases, firms perform less well; and (b) firms build supplier networks with higher average in-degree, greater density, and significantly greater clustering to cope with product complexity. Our findings suggest that firms using highly specific assets or that face high switching costs are likely to pursue a supplier strategy that relies more on multiple suppliers and more clustered supply networks. Also, in industries characterized by highly specialized training, plants and machinery dedicated to specific products and other high product-specific transaction costs, we should observe more specialization at low levels of product complexity but less at high levels. The model contributes to our understanding of the evolution of supply networks, which is an under-researched topic, provides the basis for further extensions of the model and the development of more realistic models of actual supply chains. The model also provides a conceptual and methodological tool to assist firms and policymakers to better understanding the nature of supply chains and to identify and test strategies and policies.
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9249-1
      Issue No: Vol. 24, No. 1 (2018)
       
  • Neural networks in organizational research by David Scarborough and Mark
           John Somers
    • Authors: Terrill L. Frantz
      Pages: 145 - 148
      PubDate: 2018-03-01
      DOI: 10.1007/s10588-017-9246-4
      Issue No: Vol. 24, No. 1 (2018)
       
  • The role of cognitive artifacts in organizational routine dynamics: an
           agent-based model
    • Authors: Dehua Gao; Flaminio Squazzoni; Xiuquan Deng
      Abstract: Organizational routines consist of a mix of human actors and artifacts. Indeed, organizational settings are populated by a variety of cognitive artifacts, such as operating standards and prioritization rules, which encapsulate two types of knowledge: standards and regulations constraining individual action and rules sustaining explorative capacities of individuals. In order to investigate the role that cognitive artifacts may play in the formation and change of organizational routines, we developed an agent-based model that simulated environmental tasks, individual action and organizational settings. Our simulation results show that these two kinds of knowledge have different effects on routine dynamics and that when constraining knowledge and explorative capacities complement each other, routines are more efficacious. This indicates that organizational design should try to harmonize standardization and individual exploration. We also found that increasing the level of both these two kinds of knowledge inherent in cognitive artifacts within a dynamic environment tends to accelerate the adaptively changing processes of the routine system although at the expense of higher operating costs. Finally, we found that the impact of organizational inertia on the routine system might be either negative or positive, depending on a triangle relation among cognitive artifacts, environmental characteristics and inertia.
      PubDate: 2018-02-02
      DOI: 10.1007/s10588-018-9263-y
       
  • Applicability and effectiveness of classifications models for achieving
           the twin objectives of growth and outreach of microfinance institutions
    • Authors: Manojit Chattopadhyay; Subrata Kumar Mitra
      Pages: 451 - 474
      Abstract: Measuring performance of microfinance institutions (MFIs) is challenging as MFIs must achieve the twin objectives of outreach and sustainability. We propose a new measure to capture the performance of MFIs by placing their twin achievements in a 2 × 2 grid of a classification matrix. To make a dichotomous classification, MFIs that meet both their twin objectives are classified as ‘1’ and MFIs who could not meet their dual objectives simultaneously are designated as ‘0’. Six classifiers are applied to analyze the operating and financial characteristics of MFIs that can offer a predictive modeling solution in achieving their objectives and the results of the classifiers are comprehended using technique for order preference by similarity to ideal solution to identify an appropriate classifier based on ranking of measures of performance. Out of six classifiers applied in the study, kernel lab-support vector machines achieved highest accuracy and lowest classification error rate that discriminates the best achievement of the MFIs’ twin objective. MFIs can use both these steps to identify whether they are on the right path to attaining their multiple objectives from their operating characteristics.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9237-x
      Issue No: Vol. 23, No. 4 (2017)
       
  • Simulating influenza pandemic dynamics with public risk communication and
           individual responsive behavior
    • Authors: Wei Zhong
      Pages: 475 - 495
      Abstract: Individual responsive behavior to an influenza pandemic has significant impacts on the spread dynamics of this epidemic. Current influenza modeling efforts considering responsive behavior either oversimplify the process and may underestimate pandemic impacts, or make other problematic assumptions and are therefore constrained in utility. This study develops an agent-based model for pandemic simulation, and incorporates individual responsive behavior in the model based on public risk communication literature. The resultant model captures the stochastic nature of epidemic spread process, and constructs a realistic picture of individual reaction process and responsive behavior to pandemic situations. The model is then applied to simulate the spread dynamics of 2009 H1N1 influenza in a medium-size community in Arizona. Simulation results illustrate and compare the spread timeline and scale of this pandemic influenza, without and with the presence of pubic risk communication and individual responsive behavior. Sensitivity analysis sheds some lights on the influence of different communication strategies on pandemic impacts. Those findings contribute to effective pandemic planning and containment, particularly at the beginning of an outbreak.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9238-9
      Issue No: Vol. 23, No. 4 (2017)
       
  • Managerial influence on attitude formation in organizations: how to manage
           emergence
    • Authors: Peter van Woensel; Dick de Gilder; Peter van den Besselaar; Peter Groenewegen
      Pages: 496 - 523
      Abstract: The emergence of a shared attitude in organizations can be regarded as a self-organizing complex process in which a majority attitude emerges from the ensemble of interactions among individuals. Almost by definition, emerging processes seem beyond the control of management, which is in conflict with the task of management to steer an organization. By modeling the emergence of a shared attitude in organizations, we were able to demonstrate that management had a distinct influence on this process. Furthermore, the first round of interactions was decisive for the outcome. The key to influencing the emergence of a shared attitude is to reduce resistance against the preferred attitude. High levels of group conformity inhibited conversion to the preferred attitude. Although the emergence of a shared attitude can be influenced by management, there remains an intrinsic uncertainty in the outcomes of attitude development processes.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9239-8
      Issue No: Vol. 23, No. 4 (2017)
       
  • Integration decision-making in technology-sourcing cross-border
           M&As: a mathematical model
    • Authors: Feiqiong Chen; Yao Chen; Fangfang Zhong
      Pages: 524 - 545
      Abstract: Post-merger integration plays a key role in the success of mergers and acquisitions, but how to choose the appropriate integration mode to achieve potential synergies in mergers and acquisitions (M&As) still lacks widely accepted theoretical support and practical experience. Therefore, this article establishes a mathematical model considering the similarity and complementarity of resources in an attempt to explore the optimal integration strategy (including the choices of integration degree and autonomy granted to the target) under different conditions of resources similarity and complementarity, thus building a comprehensive framework that considers pre- and post-merger factors together to jointly explain innovation realization in technology-sourcing cross-border M&As. The results show that the higher the resource similarity, the higher the degree of integration and the lower the degree of target autonomy. Conversely, the higher the resource complementarity, the lower the degree of integration and the higher the degree of target autonomy. Resource similarity and resource complementarity have negative interactions for integration and target autonomy. The higher the resource similarity, the faster the convergence of optimal degree of integration, while the higher the resource complementarity, the slower the convergence. The study results add to our knowledge of M&A integration management, and provide some implication for practitioners.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9241-1
      Issue No: Vol. 23, No. 4 (2017)
       
  • Confidence levels based Pythagorean fuzzy aggregation operators and its
           application to decision-making process
    • Authors: Harish Garg
      Pages: 546 - 571
      Abstract: Pythagorean fuzzy set, an extension of the intuitionistic fuzzy set which relax the condition of sum of their membership function to square sum of its membership functions is less than one. Under these environment and by incorporating the idea of the confidence levels of each Pythagorean fuzzy number, the present study investigated a new averaging and geometric operators namely confidence Pythagorean fuzzy weighted and ordered weighted operators along with their some desired properties. Based on its, a multi criteria decision-making method has been proposed and illustrated with an example for showing the validity and effectiveness of it. A computed results are compared with the aid of existing results.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-017-9242-8
      Issue No: Vol. 23, No. 4 (2017)
       
  • Operations research methods in political decisions: a case study on the
           European Parliament composition
    • Authors: Janusz Łyko; Radosław Rudek
      Pages: 572 - 586
      Abstract: In this paper, we show that operations research methods can be successfully applied to support decision-making in politics on the case study of the apportionment of seats in the European Parliament. The related political constraints and assumptions are quantitatively described and the optimization problem is formulated. On this basis, it is revealed that the current composition of the European Parliament as well as some intuitive propositions do not respect degressive proportionality as far as it was assumed. Nevertheless, our algorithm allows us to find better solutions, and among them, there is only one best allocation, which respects degressive proportionality as far as possible, according to the well known and often applied measures. Namely, over 9 thousands allocations consistent with the political requirement “nobody gains and nobody loses more than one” are referred to over 5.4 millions degressively proportional solutions, and only one allocation is revealed to be the best for all defined criteria under given populations of countries.
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-017-9243-7
      Issue No: Vol. 23, No. 4 (2017)
       
  • Garry Robins: Doing social network research: network-based research
           design for social scientists
    • Authors: Terrill L. Frantz
      Pages: 587 - 589
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9236-y
      Issue No: Vol. 23, No. 4 (2017)
       
  • Nick Crossley, Elisa Bellotti, Gemma Edwards, Martin G. Everett, Johan
           Koskinen, and Mark Tranmer: Social network analysis for ego-nets
    • Authors: Terrill L. Frantz
      Pages: 590 - 593
      PubDate: 2017-12-01
      DOI: 10.1007/s10588-016-9240-2
      Issue No: Vol. 23, No. 4 (2017)
       
  • A grey modeling procedure based on the data smoothing index for short-term
           manufacturing demand forecast
    • Authors: Che-Jung Chang; Jan-Yan Lin; Peng Jin
      Pages: 409 - 422
      Abstract: Product life cycles have become increasingly shorter because of global competition. Under fierce competition, the use of small samples to establish demand forecasting models is crucial for enterprises. However, limited samples typically cannot provide sufficient information; therefore, this presents a major challenge to managers who must determine demand development trends. To overcome this problem, this paper proposes a modified grey forecasting model, called DSI–GM(1,1). Specifically, we developed a data smoothing index to analyze the data behavior and rewrite the calculation equation of the background value in the applied grey modeling, constructing a suitable model for superior forecasting performance according to data characteristics. Employing a test on monthly demand data of thin film transistor liquid crystal display panels and the monthly average price of aluminum for cash buyers, the proposed modeling procedure resulted in high prediction outcomes; therefore, it is an appropriate tool for forecasting short-term demand with small samples.
      PubDate: 2017-09-01
      DOI: 10.1007/s10588-016-9234-0
      Issue No: Vol. 23, No. 3 (2017)
       
  • The paradox of cost minimization and the survival of organizations
    • Authors: Zvi Winer; Yitzhak Samuel
      Abstract: Organizations that operate in a dynamic environment must take steps to adapt to their changing circumstances; otherwise, they may collapse entirely. Yet, managers may postpone necessary change to minimize costs, while ignoring the risk that this myopic approach entails to the survival of their organizations. This paper proposes a model that considers failure as a stage-wise process of decline, in which the organization’s portfolio of products and the technological processes that it uses to produce them become increasingly misaligned with market conditions. Eventually, if management fails to adapt to the market in time, the gap between the organization and its environment expands to a point of no return, after which organizational collapse is inevitable. The model enables us to run computerized simulations to predict the lifespan of organizations.
      PubDate: 2017-12-13
      DOI: 10.1007/s10588-017-9261-5
       
  • Fitting an uncertain productivity learning process using an artificial
           neural network approach
    • Authors: Toly Chen
      Abstract: Productivity is critical to the long-term competitiveness of factories. Therefore, the future productivity of factories must be estimated and enhanced. However, this is a challenging task because productivity can be improved based on a learning process that is highly uncertain. To address this problem, most existing methods fit fuzzy productivity learning processes and convert them into mathematical programming problems. However, such methods have several drawbacks, including the absence of feasible solutions, difficulty in determining a global optimum, and homogeneity in the solutions. In this study, to overcome these drawbacks, a specially designed artificial neural network (ANN) was constructed for fitting an uncertain productivity learning process. The proposed methodology was applied to an actual case of a dynamic random access memory factory. Experimental results showed that the ANN approach has a considerably higher forecasting accuracy compared with several existing methods.
      PubDate: 2017-12-08
      DOI: 10.1007/s10588-017-9262-4
       
  • The underlying geometry of organizational dynamics: similarity-based
           social space and labor flow network communities
    • Authors: Hernan Mondani
      Abstract: In this article, we use Swedish longitudinal register data to study the effect that similarity in organizational properties has on the interaction between organizations. We map out the social space of large organizations in the Stockholm Region and the interplay between social distance and the network communities of employee movements between organizations. We firstly use homogeneity analysis to describe the dynamics of organizations in terms of the time evolution of their similarity. Our results show that most categorical variables are quite stable over time. Organizations linked through employee movement edges have a lower average distance in social space than non-linked organizations. Secondly, we look at network community dynamics in social space. Employee flows between organizations in different communities exhibit a so-called gravity law from spatial statistics, decaying more slowly than observed geographical networks, meaning that employees reach out regions of social space further than of physical space. Finally, the rate of change of distance in homogeneity space exhibits a statistical distribution similar to the ones found in various other growth processes in natural and man-made systems.
      PubDate: 2017-11-13
      DOI: 10.1007/s10588-017-9260-6
       
  • Evolutionary dynamics of two-actor VMI-driven supply chains
    • Abstract: The strategy of integration known as vendor-managed inventory (VMI), which allows the coordination of inventory policies between producers and buyers in supply chains, has long been considered a strategy for inventory cost reduction. Although the literature acknowledges the importance of understanding the dynamics of VMI implementation through evolutionary games, research in this topic still remains scarce. This paper studies the dynamics of strategic interaction of a producer–buyer supply chain under a newly developed VMI scheme, which makes use of a synchronization mechanism between the buyer and the producer replenishment cycles. By using this alternative VMI representation, we obtain the mathematical conditions that determine the degree of stability of evolutionarily stable strategies. As other evolutionary game theoretical approaches, we also find a lower bound for penalty costs that ensures a VMI contract, but most importantly, we also find how a VMI implementation might depend on the difference between production and demand rates, regardless of any penalty costs.
      PubDate: 2017-09-08
      DOI: 10.1007/s10588-017-9259-z
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
Home (Search)
Subjects A-Z
Publishers A-Z
Customise
APIs
Your IP address: 54.224.44.168
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-