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Publisher: CCSE   (Total: 41 journals)   [Sort by number of followers]

Showing 1 - 41 of 41 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 6)
Asian Culture and History     Open Access   (Followers: 15)
Asian Social Science     Open Access   (Followers: 8)
Cancer and Clinical Oncology     Open Access   (Followers: 6)
Computer and Information Science     Open Access   (Followers: 14)
Earth Science Research     Open Access   (Followers: 9)
Energy and Environment Research     Open Access   (Followers: 12)
Engineering Management Research     Open Access   (Followers: 7)
English Language and Literature Studies     Open Access   (Followers: 21)
English Language Teaching     Open Access   (Followers: 31)
Environment and Natural Resources Research     Open Access   (Followers: 7)
Environment and Pollution     Open Access   (Followers: 12)
Global J. of Health Science     Open Access   (Followers: 10, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 59)
Intl. Business Research     Open Access   (Followers: 7)
Intl. Education Studies     Open Access   (Followers: 10)
Intl. J. of Biology     Open Access   (Followers: 2)
Intl. J. of Business and Management     Open Access   (Followers: 21)
Intl. J. of Chemistry     Open Access   (Followers: 12)
Intl. J. of Economics and Finance     Open Access   (Followers: 16)
Intl. J. of English Linguistics     Open Access   (Followers: 12)
Intl. J. of Marketing Studies     Open Access   (Followers: 20)
Intl. J. of Psychological Studies     Open Access   (Followers: 5)
Intl. J. of Statistics and Probability     Open Access   (Followers: 5)
J. of Agricultural Science     Open Access   (Followers: 12)
J. of Education and Learning     Open Access   (Followers: 3)
J. of Educational and Developmental Psychology     Open Access   (Followers: 17)
J. of Food Research     Open Access   (Followers: 3)
J. of Geography and Geology     Open Access   (Followers: 15)
J. of Management and Sustainability     Open Access   (Followers: 8)
J. of Materials Science Research     Open Access   (Followers: 8)
J. of Mathematics Research     Open Access   (Followers: 6)
J. of Molecular Biology Research     Open Access   (Followers: 3)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 11)
J. of Sustainable Development     Open Access   (Followers: 22)
Mechanical Engineering Research     Open Access   (Followers: 17)
Modern Applied Science     Open Access   (Followers: 2)
Network and Communication Technologies     Open Access   (Followers: 4)
Review of European Studies     Open Access   (Followers: 11)
Sustainable Agriculture Research     Open Access   (Followers: 3)
Similar Journals
Journal Cover
Engineering Management Research
Number of Followers: 7  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1927-7318 - ISSN (Online) 1927-7326
Published by CCSE Homepage  [41 journals]
  • Mapping the State of the Art on Green Logistics and Institutional
           Pressures: A Bibliometric Study

    • Authors: Tiago Henrique De Paula Alvarenga, Carlos Manuel Taboada Rodriguez, Claudia Cecilia Peña-Montoya
      First page: 1
      Abstract: This article aims to build knowledge on the theme “green logistics” and “institutional pressures”, focused on identifying opportunities on its research topic. We used the ProKnow-C intervention instrument, resulting in the selection of 11 relevant articles that came to represent the bibliographic portfolio. Therefore, the bibliometric indicators based on the most prominent journals, the impact factor, the number of citations, the origin of the research centers, the research methods/tools, the most used terms and the subjects covered were used to analyze the articles selected. research in the form of networks. The results showed that the most prominent journal is the International Journal of Production Economics; the article with the largest number of citations (343 citations) is written by Sameer Kumar and Valora Putnam. In relation to the origin of the research centers there was a diversity of institutions of various nationalities, the USA being the country with the largest number of institutions, followed by United Kindon and Malaysia. As for the research methods, we have identified literature reviews, case studies, surveys, conceptual framework proposal and monitoring system development. In relation to the mapping and research networks, we highlight terms such as logistic, regulatory pressure, practice, driver, economic performance, institutional pressure, among other relevant terms. In this context, this information can “shed light” on interested parties and researchers on the subject in order to conceptualize, interpret and visualize their relevance, as well as the coverage networks and related researches.
      PubDate: 2018-05-29
      DOI: 10.5539/emr.v7n2p1
      Issue No: Vol. 7, No. 2 (2018)
  • Reviewer Acknowledgements for Engineering Management Research, Vol. 7, No.

    • Abstract: Reviewer acknowledgements for Engineering Management Research, Vol. 7, No. 2, 2018
      PubDate: Mon, 29 Oct 2018 01:31:27 +000
  • The Effect of Different Lane Occupancy on Road Traffic Capacity

    • Abstract: In this paper, the data of video is extracted and processed, and the change process of road capacity during the accident is described by using the fuzzy comprehensive evaluation method. By means of cellular automata, the change of road capacity when different lanes are blocked is simulated, and the influence of different lanes on road capacity is analyzed. Then the formula of vehicle queue length based on mathematical relation is established.
      PubDate: Sat, 27 Oct 2018 05:48:10 +000
  • Developing New Technology Acceptance Model With Multi-Criteria Decision
           Technique: An Implementation Study

    • Abstract: This study aims to develop and implement a new Technology Acceptance Model (TAM) to verify and explain users’ acceptance of SAP software. The structural equation model (SEM) technique is used with the AMOS program for the adoption process. General structural model, which includes Experience, Voluntariness, Perceived Enjoyment, Perceptions of External Control, Computer Self Efficacy, Output Quality and Job Relevance, is developed with Analytical Hierarchy Method (AHP) and Pareto Analysis by deciding variables from previously original developed models which are called TAM1, TAM2 and TAM3. New TAM is tested to a sample of 384 SAP users in a company that serves in metal production. Results illustrates that new TAM is an appropriate tool to explain and understand users’ acceptance of SAP besides of being flexible and easily implemented. SAP users’ job relevance and their perceptions of external control are the most important variables that affect perceived usefulness and perceived ease of use in the model.
      PubDate: Wed, 17 Oct 2018 07:04:41 +000
  • Use of KEVLAR ® 49 in Aircraft Components

    • Abstract: Aircraft industry is also finding its way to adapt on the increasing demand not only considering aircraft safety and customer requirements, but also on the increasing legislative requirements in terms of resource efficiency and gas emissions. This document explores Kevlar 49’s application on aircraft components and why this material is specifically selected for such applications above any other Kevlar type of materials. Its functions, properties, advantages and disadvantages are discussed together with some alternative materials in lieu of Kevlar 49. In order to provide credible information, literature search was conducted using significant keywords in Google Scholar and journal repository Deepdyve. Kevalr ® 49 is considered an exceptional material for reinforcement to produce aircraft components. It has high tensile strength, lightweight, inert on some conditions, stiff, and resilient. However, Kevlar’s has poor compressive strength, workability and is overly stiff for some applications. Another disadvantage is its cost, though it was shown to belong to a middle ranged material relative to carbon fiber and Boron. But overall, there are extensive applications in aircraft components that are now continuously using this material as reinforcement with other materials like carbon and boron to arrive on an ideal blend of product.
      PubDate: Thu, 11 Oct 2018 23:16:41 +000
  • Model of Identification and Management of Technological Innovations in
           Product Development: A Case Study in the Automotive Industry

    • Abstract: This article aims to propose a new model of technological innovations, as well as using it in a case study in the automotive industry. After an analysis of the main scientific databases, it was verified that the present work is unprecedented in presenting a unified model of identification and management of technological innovations. In methodological terms, the bibliometric and systemic analyzes were performed in order to identify the main technological innovations inherent in the automotive industry. In terms of research results, a cohesive innovation model was obtained, which, once based on the concepts of sensitive innovation and latent innovation, allows the identification and the consequent valuation of the economic potential of the main technological innovations in the area desired by the manager who will apply it. As an example, the model was applied specifically in the automotive sector, but its methodology can be generalized to any area of industrial production.
      PubDate: Wed, 10 Oct 2018 23:11:11 +000
  • Planning Production Capacity Using Time Series Forecasting Method and
           Linier Programming

    • Abstract: The objectives of this research is to determine the amount of production planning capacity sow talc products in the future utilizing previous data from january to december in year 2017. This researched considered three forecasting method, there are Weight Moving Average (WMA), Moving Average (MA), and Exponential Smoothing (ES). After calculating the methods, then measuring the error value using a control chart of 3 (three) of these methods. After find the best forecasting method, then do linear programming method to obtain the exact amount of production in further. Based on the data calculated, the method of Average Moving has a size of error value of Mean Absolute Percentage Error of 0.09 or 9%, Weight Moving Average has a size error of Mean Absolute Percentage Error of 0.09 or 9% and with Exponential Method Smoothing has an error value of Mean Absolute Percentage Error of 0.12 or 12%. Moving Average and Weight Moving Average have the same MAPE amount but Weight Moving Average has the smallest amount Mean Absolute Deviation compared to other method which is 262.497 kg. Based on the result, The Weight Moving Average method is the best method as reference for utilizing in demand forecasting next year, because it has the smallest error size and has a Tracking Signal  not exceed the maximum or minimum control limit is ≤ 4. Moreover, after obtained Weight Moving Average method is the best method, then is determine value of planning production capacity in next year using linier programming method. Based on the linier programming calculation, the maximum amount of production in next year by considering the forecasting of raw materials, production volume, material composition, and production time obtained in one (1) working day is 11,217,379 pcs / year, or 934,781 pcs / month of finished product. This paper recommends the company to evaluate the demand forecasting in order to achieve higher business growth.
      PubDate: Mon, 01 Oct 2018 13:18:10 +000
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Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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