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BibTex RIS Kaynak Göster

Yıl 2024, Cilt: 2024 Sayı: Erken Görünüm

Bükra Doğaner Duman Mehmet Gürtürk Mehmet Adak Esma Koç

https://doi.org/10.26650/JTL.2024.1387238

Öz

Kaynakça

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Efe, An Integrated Fuzzy Multi-Criteria Group Decision Making Approach for ERP System Selection, Applied Soft Computing Journal (2015) google scholar
  • Fumagalli, Adalberto Polenghi, Elisa Negri & Irene Roda (2019) Framework for simulation software selection, Journal of Simulation, 13(4), 286-303. google scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • Jadhav, A. S., & Sonar, R. M. (2009a). Evaluating and selecting software packages: A review. Information and Software Technology, 51, 555-563. google scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Nikoukaran, J., & Paul, R. J. (1999). Software selection for simulation in manufacturing: a review. Simulation Practice and Theory, 7, 1-14. google scholar
  • Nikoukaran, J., Hlupic, V., & Paul, R. J. (1998). Criteria for Simulation Software Evaluation. Proceedings of the 1998 Winter Simulation Conference. google scholar
  • Nikoukaran, J., Hlupic, V., & Paul, R. J. (1999). A hierarchical framework for evaluating simulation software. Simulation Practice and Theory, 7, 219-231. google scholar
  • Oglu, S. V. (2020). Software Selection Based of Sugeno Integral. Scholarly Publisher RS Global, 7(59). google scholar
  • Oglu, S. V. (2022). Selectiın of Software on Base of Fuzzy TOPSIS Method. Scholarly Publisher RS Global, 3(75). google scholar
  • 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
  • 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
  • Omerali & Tolga Kaya | (2022) Augmented Reality Application Selection Framework Using Spherical Fuzzy COPRAS Multi-Criteria Decision Making, Cogent Engineering, 9:1, 2020610 google scholar
  • Rouhani, (2017)," A fuzzy superiority and inferiority ranking based approach for IT service management software selection ", Kybernetes, 46(4). google scholar
  • 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
  • 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
  • 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
  • Small, H. G., & Koenig, M. E. (1977). Journal clustering using a bibliographic coupling method. Information processing & management, 13(5), 277-288. google scholar
  • Stemberger, Vesna Bosilj-Vuksic & MojcaIndihar Jaklic (2009) Business Process Management Software Selection - Two Case Studies, Economic Research- Ekonomskalstrazivanja, 22:4, 84-99 google scholar
  • 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
  • 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
  • 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
  • Tolga, C. (2018). Evaluation of ERP software with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science, 22(5), 1351-1370. google scholar
  • 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
  • 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

Deciding the Criteria for Software Selection: A Bibliometric Review

Yıl 2024, Cilt: 2024 Sayı: Erken Görünüm

Bükra Doğaner Duman Mehmet Gürtürk Mehmet Adak Esma Koç

https://doi.org/10.26650/JTL.2024.1387238

Öz

With the increase in global competition, there has been growth in research on how to increase business efficiency and profitability. One focus is how businesses choose which software to use. Successful software implementation starts with choosing the right product to meet the organization’s specific needs; along with time, effort, and cost of implementation, poorly selected software can reduce the organization’s market share. However, choosing the right product can be extremely time-consuming and daunting. The present study examined the literature using the dimension.ai database while bibliometric analysis was performed using the VOSviewer program. Based on the analysis, the analyzed articles are clustered into four group. By listing the most commonly used criteria in the studies, the analysis identifies the studies’ deficiencies and new criteria are presented for the current needs of the businesses. Finally, recommendations for future studies and the sector are given.The findings of this study will both help software product companies’ marketing and sales teams develop key points and also enable end user organizations to make informed decisions in selecting software packages.

Anahtar Kelimeler

Software Selection Bibliometric Review VOSviewer

Kaynakça

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Efe, An Integrated Fuzzy Multi-Criteria Group Decision Making Approach for ERP System Selection, Applied Soft Computing Journal (2015) google scholar
  • Fumagalli, Adalberto Polenghi, Elisa Negri & Irene Roda (2019) Framework for simulation software selection, Journal of Simulation, 13(4), 286-303. google scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • Jadhav, A. S., & Sonar, R. M. (2009a). Evaluating and selecting software packages: A review. Information and Software Technology, 51, 555-563. google scholar
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Nikoukaran, J., & Paul, R. J. (1999). Software selection for simulation in manufacturing: a review. Simulation Practice and Theory, 7, 1-14. google scholar
  • Nikoukaran, J., Hlupic, V., & Paul, R. J. (1998). Criteria for Simulation Software Evaluation. Proceedings of the 1998 Winter Simulation Conference. google scholar
  • Nikoukaran, J., Hlupic, V., & Paul, R. J. (1999). A hierarchical framework for evaluating simulation software. Simulation Practice and Theory, 7, 219-231. google scholar
  • Oglu, S. V. (2020). Software Selection Based of Sugeno Integral. Scholarly Publisher RS Global, 7(59). google scholar
  • Oglu, S. V. (2022). Selectiın of Software on Base of Fuzzy TOPSIS Method. Scholarly Publisher RS Global, 3(75). google scholar
  • 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
  • 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
  • Omerali & Tolga Kaya | (2022) Augmented Reality Application Selection Framework Using Spherical Fuzzy COPRAS Multi-Criteria Decision Making, Cogent Engineering, 9:1, 2020610 google scholar
  • Rouhani, (2017)," A fuzzy superiority and inferiority ranking based approach for IT service management software selection ", Kybernetes, 46(4). google scholar
  • 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
  • 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
  • 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
  • Small, H. G., & Koenig, M. E. (1977). Journal clustering using a bibliographic coupling method. Information processing & management, 13(5), 277-288. google scholar
  • Stemberger, Vesna Bosilj-Vuksic & MojcaIndihar Jaklic (2009) Business Process Management Software Selection - Two Case Studies, Economic Research- Ekonomskalstrazivanja, 22:4, 84-99 google scholar
  • 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
  • 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
  • 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
  • Tolga, C. (2018). Evaluation of ERP software with fuzzy AHP integrated TODIM method. Sakarya University Journal of Science, 22(5), 1351-1370. google scholar
  • 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
  • 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
Toplam 44 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Lojistik
Bölüm Araştırma Makalesi
Yazarlar

Bükra Doğaner Duman 0000-0002-9770-9838

Mehmet Gürtürk 0000-0002-8417-1274

Mehmet Adak 0000-0002-7788-1227

Esma Koç 0009-0001-0730-9129

Erken Görünüm Tarihi 22 Mart 2024
Yayımlanma Tarihi
Gönderilme Tarihi 7 Kasım 2023
Kabul Tarihi 17 Şubat 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 2024 Sayı: Erken Görünüm

Kaynak Göster

APA Doğaner Duman, B., Gürtürk, M., Adak, M., Koç, E. (2024). Deciding the Criteria for Software Selection: A Bibliometric Review. Journal of Transportation and Logistics, 2024(Erken Görünüm). https://doi.org/10.26650/JTL.2024.1387238
AMA Doğaner Duman B, Gürtürk M, Adak M, Koç E. Deciding the Criteria for Software Selection: A Bibliometric Review. JTL. Mart 2024;2024(Erken Görünüm). doi:10.26650/JTL.2024.1387238
Chicago Doğaner Duman, Bükra, Mehmet Gürtürk, Mehmet Adak, ve Esma Koç. “Deciding the Criteria for Software Selection: A Bibliometric Review”. Journal of Transportation and Logistics 2024, sy. Erken Görünüm (Mart 2024). https://doi.org/10.26650/JTL.2024.1387238.
EndNote Doğaner Duman B, Gürtürk M, Adak M, Koç E (01 Mart 2024) Deciding the Criteria for Software Selection: A Bibliometric Review. Journal of Transportation and Logistics 2024 Erken Görünüm
IEEE B. Doğaner Duman, M. Gürtürk, M. Adak, ve E. Koç, “Deciding the Criteria for Software Selection: A Bibliometric Review”, JTL, c. 2024, sy. Erken Görünüm, 2024, doi: 10.26650/JTL.2024.1387238.
ISNAD Doğaner Duman, Bükra vd. “Deciding the Criteria for Software Selection: A Bibliometric Review”. Journal of Transportation and Logistics 2024/Erken Görünüm (Mart 2024). https://doi.org/10.26650/JTL.2024.1387238.
JAMA Doğaner Duman B, Gürtürk M, Adak M, Koç E. Deciding the Criteria for Software Selection: A Bibliometric Review. JTL. 2024;2024. doi:10.26650/JTL.2024.1387238.
MLA Doğaner Duman, Bükra vd. “Deciding the Criteria for Software Selection: A Bibliometric Review”. Journal of Transportation and Logistics, c. 2024, sy. Erken Görünüm, 2024, doi:10.26650/JTL.2024.1387238.
Vancouver Doğaner Duman B, Gürtürk M, Adak M, Koç E. Deciding the Criteria for Software Selection: A Bibliometric Review. JTL. 2024;2024(Erken Görünüm).


The JTL is being published twice (in April and October of) a year, as an official international peer-reviewed journal of the School of Transportation and Logistics at Istanbul University.