SavedAdd your journal

Journals / Journal of Transportation and Logistics / 2024 / Volume: 9 Issue: 2

Deciding the Criteria for Software Selection: A Bibliometric Review

Bükra Doğaner Duman(ISTANBUL UNIVERSITY, ACADEMY OF TRANSPORTATION AND LOGISTICS, DEPARTMENT OF TRANSPORTATION AND LOGISTICS)0000-0002-9770-9838
Mehmet Gürtürk(CANAKKALE ONSEKIZ MART UNIVERSITY, BİGA VOCATIONAL SCHOOL OF APPLIED SCIENCES, DEPARTMENT OF INTERNATIONAL TRADE, LOGISTICS AND MANAGEMENT)0000-0002-8417-1274
Mehmet Adak(ISTANBUL UNIVERSITY, ACADEMY OF TRANSPORTATION AND LOGISTICS, DEPARTMENT OF TRANSPORTATION AND LOGISTICS)0000-0002-7788-1227
Esma Koç(Xinerji Technology)0009-0001-0730-9129
Pages
—
Publication Date
2024-11-19
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings of this study will both help the marketing and sales teams of software product companies to develop key points and enable end-user organizations to make informed decisions when choosing software packages.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With the increase in global competition, there has been an increase in research on how to increase business efficiency and profitability.
📊
Key Findings & Data:One area of focus is how businesses choose which software to use.
💡
Conclusion & Impact:The findings of this study will both help the marketing and sales teams of software product companies to develop key points and enable end-user organizations to make informed decisions when choosing software packages.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Software Selection · Bibliometric Review · VOSviewer

Abstract

With the increase in global competition, there has been an increase in research on how to increase business efficiency and profitability. One area of focus is how businesses choose which software to use. A successful software implementation starts with choosing the right product to meet the organization’s specific needs; besides the time, effort, and cost of implementation, poorly chosen software can reduce an organization’s market share. However, choosing the right product can be extremely time consuming and daunting. In this study, literature was reviewed using the dimension.ai database, and bibliometric analysis was performed using VOSviewer software. Based on the analysis, the analyzed articles were clustered into groups. The most studied countries in this field were Turkey, the USA, and India. Analytic Hierarchy Process (AHP) was the most frequently used method for evaluating software selection criteria. In addition, Fuzzy and Hybrid methods, which are frequently used in recent years, are also among the methods used. The study also lists the most frequently used criteria, identifies the shortcomings of the studies, and presents new criteria for the current needs of enterprises. Finally, recommendations for future studies and the industry are provided. The findings of this study will both help the marketing and sales teams of software product companies to develop key points and enable end-user organizations to make informed decisions when choosing software packages.

🔖

Cite This Article

Duman, B. D., Gürtürk, M., Adak, M., Koç, E. (2024). Deciding the Criteria for Software Selection: A Bibliometric Review. Journal of Transportation and Logistics, Volume: 9 Issue: 2. https://doi.org/10.26650/JTL.2024.1387238

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (45)

  1. Alpers, S., Becker, C., Eryilmaz, E., & Schuster, T. (2014). A Systematic Approach for Evaluation and Selection of ERP Systems. Lecture Notes in Business Information Processing. google scholar
  2. Ayağ & R. G. Özdemİr (2007) An intelligent approach to ERP software selection through fuzzy ANP, International Journal of Production Research, 45:10, 2169-2194, DOI: 10.1080/00207540600724849 google scholar
  3. Azadeh, A., Shirkouhi, S. N., & Rezaie, K. (2010). A robust decision-making methodology for evaluation and selection of simulation software package. Int J Adv Manuf Technol, 47, 381-393. google scholar
  4. Benlian, A., & Hess, T. (2011). Comparing the relative importance of evaluation criteria in proprietary and open-source enterprise application software selection - a conjoint study of ERP and Office systems. Info Systems J, 503-525. google scholar
  5. Çakır, S. (2016). Selecting appropriate ERP software using integrated fuzzy linguistic preference relations Fuzzy TOPSIS Method. International Journal of Computational Intelligence Systems, 9(3), 433-449. google scholar
  6. Çalişkan, E., Aksakal, E., Çetinyokuş, S., & Çetinyokuş, T. (2019). Hybrid Use of Likert Scale-Based AHP and PROMETHEE Methods for Hazard Analysis and Consequence Modeling (HACM) Software Selection. International Journal of Information Technology & Decision Making, 18(5), 1689-1715. google scholar
  7. Eastham, David James Tucker, Sumir Varma & Scott Matthew Sutton (2014) PLM Software Selection Model for Project Management Using Hierarchical Decision Modeling With Criteria From PMBOK® Knowledge Areas, Engineering Management Journal, 26:3, 13-24. google scholar
  8. Efe, An Integrated Fuzzy Multi-Criteria Group Decision Making Approach for ERP System Selection, Applied Soft Computing Journal (2015) google scholar
  9. Fumagalli, Adalberto Polenghi, Elisa Negri & Irene Roda (2019) Framework for simulation software selection, Journal of Simulation, 13(4), 286-303. google scholar
  10. Garg, H., Vimala, J., Rajareega, S., Preethi, D., & Perez-Dominguez, L. (2022). Complex intuitionistic fuzzy soft SWARA - COPRAS approach: An application of ERP software selection. AIMS Mathematics, 7(4), 5895-5909. google scholar
  11. Ghulam Zakria, Z. G. (2010). We are selecting and prioritizing key factors for CAD/CAM software in small- and medium-sized enterprises using AHP. Front. Mech. Eng. China, 5(2), 157-164. google scholar
  12. Guezguez, W., Zaini, R., & Quqandi, E. (tarih yok). A multi-criteria decision-making model for software selection to build e-portfolio. 2015 Fifth International Conference on e-Learning. google scholar
  13. Hanine, M., Boutkhoum, O., Tikniouine, A., & Agouti, T. (2016). Application of an integrated multi criteria decision making AHP TOPSIS methodology for ETL software selection. SpringerPlus 5. google scholar
  14. Hidalgo, A., Albors, J., & Gomez, L. (2011). ERP Software Selection Processes: A Case Study in the Metal Transformation Sector. Intelligent Information Management, 1-16. google scholar
  15. Jadhav, A. S., & Sonar, R. M. (2009a). Evaluating and selecting software packages: A review. Information and Software Technology, 51, 555-563. google scholar
  16. Jadhav, A., & Sonar, R. (2009b). Analytic Hierarchy Process (AHP), Weighted Scoring Method (WSM), and Hybrid Knowledge Based System (HKBS) for Software Selection: A Comparative Study. Second International Conference on Emerging Trends in Engineering and Technology. google scholar
  17. Jadhava, A. S., & Sonar, R. M. (2011). Framework for evaluation and selection of the software packages: A hybrid knowledge based system approach. The Journal of Systems and Software, 84, 1394-1407. google scholar
  18. Kannan, A. S., Balamurugan, S. A., & Sasikala, S. (2019). A Novel Software Package Selection Method Using Teaching-Learning Based Optimization and Multiple Criteria Decision Making. IEEE Transactions on Engineering Management. google scholar
  19. Khaled, A., & Idrissi, M. A. (2011). A Learning Driven Model for ERP Software Selection Based on the Choquet Integral: Small and Medium Enterprises Context. Communications in Computer and Information Science. google scholar
  20. Li, Z.-H. (2014). An Extension of the MULTIMOORA Method for Multiple Criteria Group Decision Making Based upon Hesitant Fuzzy Sets. Hindawi Publishing Corporation Journal of Applied Mathematics. google scholar Madenoğlu, F. S. (2021). Bütünleşik Entropi-COPRAS Yöntemi ile KKP Yazılımının Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 19(4), 14-29. google scholar
  21. Maram, V., Sultan, S. J., Omar, M. B., & Bommisetty, V. N. (2019). Selection of Software in Manufacturing Operations Using Analytic Hierarchy Process. AIP Conference Proceedings 2138, 040016. google scholar
  22. Mas-Tur, A., Roig-Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M.,. & Merigo, J. M. (2021). Co-citation, bibliographic coupling, and leading authors, institutions, and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165, 120487. google scholar
  23. Misra, S. K., & Ray, A. (2013). Integrated AHP-TOPSIS Model for Software Selection Under Multi-criteria Perspective. Driving the Economy through Innovation and Entrepreneurship, 879-890. google scholar
  24. Mollaoglu, M., Altay, B. C., & Balin, A. (2023). Bibliometric Review of Route Optimization in Maritime Transportation: Environmental Sustainability and Operational Efficiency. Transportation Research Record, 03611981221150922. google scholar
  25. Nikoukaran, J., & Paul, R. J. (1999). Software selection for simulation in manufacturing: a review. Simulation Practice and Theory, 7, 1-14. google scholar
  26. Nikoukaran, J., Hlupic, V., & Paul, R. J. (1998). Criteria for Simulation Software Evaluation. Proceedings of the 1998 Winter Simulation Conference. google scholar
  27. Nikoukaran, J., Hlupic, V., & Paul, R. J. (1999). A hierarchical framework for evaluating simulation software. Simulation Practice and Theory, 7, 219-231. google scholar
  28. Oglu, S. V. (2020). Software Selection Based of Sugeno Integral. Scholarly Publisher RS Global, 7(59). google scholar
  29. Oglu, S. V. (2022). Selectiın of Software on Base of Fuzzy TOPSIS Method. Scholarly Publisher RS Global, 3(75). google scholar
  30. Oglu, S. V., & Qizi, D. J. (2021). Software Selection on Base of Fuzzy AHP Method. International Academy Journal Web of Scholar, 1(21). google scholar
  31. Okudan, G. (2006). A multi-criteria decision-making methodology for optimum selection of a solid modeller for design teaching and practice. Journal of Engineering Design, 17(2), 159-175. google scholar
  32. Omerali & Tolga Kaya | (2022) Augmented Reality Application Selection Framework Using Spherical Fuzzy COPRAS Multi-Criteria Decision Making, Cogent Engineering, 9:1, 2020610 google scholar
  33. Rouhani, (2017)," A fuzzy superiority and inferiority ranking based approach for IT service management software selection ", Kybernetes, 46(4). google scholar
  34. Rouhani, A., & Ravasan, A. Z. (2014). A Fuzzy TOPSIS based Approach for ITSM Software Selection. International Journal of IT/Business Alignment and Governance, 5(2). google scholar
  35. Secundo, G., Magarielli, D., Esposito, E., & Passiante, G. (2017). Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach. Business Process Management Journal, 23(1), 196-222. google scholar
  36. Seker, S., & Kahraman, C. (2022). A Pythagorean cubic fuzzy methodology based on TOPSIS and TODIM methods and its application to software selection problems. Soft Computing, 26, 2437-2450. google scholar
  37. Small, H. G., & Koenig, M. E. (1977). Journal clustering using a bibliographic coupling method. Information processing & management, 13(5), 277-288. google scholar
  38. Stemberger, Vesna Bosilj-Vuksic & MojcaIndihar Jaklic (2009) Business Process Management Software Selection - Two Case Studies, Economic Research- Ekonomskalstrazivanja, 22:4, 84-99 google scholar
  39. Şen, A. Y., Semiz, N., Güneş, B., Algül, D., Gergin, Z., & Dönmez, N. D. (2019). The Selection of a Process Management Software with Fuzzy Topsis Multiple Criteria Decision Making Method. Proceedings of the International Symposium for Production Research 2018, 150-167. google scholar
  40. Şen, C. G., & Baraçlı, H. (2010). Fuzzy quality function deployment based methodology for acquiring enterprise software selection requirements. Expert Systems with Applications, 37, 3415-3426. google scholar
  41. Şen, C. G., Baraçlı, H., Şen, S., & Başlıgil, H. (2009). An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection. Expert Systems with Applications, 36, 5272-5283. google scholar
  42. Tolga, C. (2018). Evaluation of ERP software with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science, 22(5), 1351-1370. google scholar
  43. Tuş, A., & Adalı, E. A. (2019). The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem. OPSEARCH. Yurtyapan, M. S., & Aydemir, E. (2022). ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method. Grey Systems: Theory and Application, 12(1), 78-100. google scholar
  44. Zaidan, B.B. Zaidan, Hussaen Muzamel, Ahmed Haiqi, M.L. Mat Kiah, Mohamed Abdulnabi, Multi-Criteria Analysis for OS-EMR Software Selection Problem: A Comparative Study, Decision Support Systems (2015) google scholar
  45. Mas-Tur, A., Roig-Tierno, N., Sarin, S., Haon, C., Sego, T., Belkhouja, M.,. & Merigo, J. M. (2021). Co-citation, bibliographic coupling, and leading authors, institutions, and countries in the 50 years of Technological Forecasting and Social Change. Technological Forecasting and Social Change, 165, 120487. google scholar