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VOSviewer Analysis of Studies on Software Selection in the Logistics Sector

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Listed:
  • Doganer Duman Bukra

    (Istanbul University, Department of Transportation and Logistics)

  • Adak Mehmet

    (Istanbul University, Department of Transportation and Logistics)

  • Güleç Alican

    (Xinerji Technology, R&D Unit Researcher)

Abstract

Outsourcing in logistics is an important step to reduce costs and increase operational efficiency. In this sense, it is possible to come across outsourcing in many areas of logistics processes. One of the outsourcing steps is the decision to select the software. Choosing the right software can affect the market share of the organization and the implementation time, effort, and cost. The findings of this research will help the marketing and sales teams of software product companies to develop key points and also enable end users to make informed decisions in selecting software packages for the organization. In this study, the studies in the literature were examined through the Scopus database, and co-citation analysis was performed using the VOSviewer program. As a result of the analysis, the articles analyzed were divided into four clusters and explained.

Suggested Citation

  • Doganer Duman Bukra & Adak Mehmet & Güleç Alican, 2024. "VOSviewer Analysis of Studies on Software Selection in the Logistics Sector," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 15(s1), pages 29-37.
    • Handle: RePEc:vrs:losutr:v:15:y:2024:i:s1:p:29-37:n:1002
    DOI: 10.2478/jlst-2024-0002
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    References listed on IDEAS

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    1. Enrique Orduña-Malea & Rodrigo Costas, 2021. "Link-based approach to study scientific software usage: the case of VOSviewer," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 8153-8186, September.
    2. Gina Santos & Carla Susana Marques & João J. Ferreira, 2018. "A look back over the past 40 years of female entrepreneurship: mapping knowledge networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 953-987, May.
    3. Li Zhao & Zhi-ying Tang & Xin Zou, 2019. "Mapping the Knowledge Domain of Smart-City Research: A Bibliometric and Scientometric Analysis," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    4. Lutz Bornmann & Robin Haunschild, 2016. "Overlay maps based on Mendeley data: The use of altmetrics for readership networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(12), pages 3064-3072, December.
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