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CHOQUET İNTEGRAL TABANLI BİR YAKLAŞIM KULLANILARAK MOBİL TİCARET TEKNOLOJİLERİNİN DEĞERLENDİRİLMESİ VE ANALİZİ

Year 2021, Volume: 17 Issue: 1, 103 - 129, 19.04.2021

Abstract

Mobil Ticaret, elektronik bir cihaz yardımıyla bilgisayar aracılı ağlara mobil erişim kullanılarak başlatılan ve/veya tamamlanan mal ve hizmetlerin mülkiyet veya kullanım haklarının devredilmesini içeren herhangi bir işlemdir. Mobil ticaret teknolojileri arasından seçim, birçok çelişkili ve etkileşimli kriteri olan çok kriterli bir değerlendirme problemidir. Bu çalışmada, m-ticaret standartlarını ve teknolojilerini değerlendirmek için ekonomik trendler, sosyal trendler, teknolojik olanaklar ve veri güvenliği ve BT güvenliği olmak üzere 4 ana kriter ve 14 alt kriter belirlendi. Mobil ticaret teknolojilerini çok kriterli olarak değerlendirmek için Choquet integrali kullanıldı. Elde edilen sonuçların sağlamlığı bir duyarlılık analizi ile incelendi.

References

  • Abdelkarim, A. A., & Nasereddin, H. H. O. (2010). “Mobile Commerce”. Journal of Mathematics and Technology. 4, 51-55, ISSN:2078-0257.
  • Al Hosni, N., Ali, S., & Ashrafi, R. (2010). “The key success factors to mobile commerce for Arab countries in Middle East”. Proceedings of the 12th International Conference on Information Integration and Web-based Applications and Services, November 8-10, Paris, France, 787-790.
  • Alturaigi, N.S., & Altameem, A.A. (2015). “Critical Success Factors For M-Commerce in Saudi Arabia’s Private Sector: A Multiple Case Study Analysis”. International Journal of Information Technology Convergence and Services (IJITCS), Vol. 5, No. 6. doi:10.5121/ijitcs.2015.5601.
  • Anckar, B., & D’Incau, D. (2002). “Value Creation in Mobile Commerce: Findings From a Consumer Survey”. The Journal of Information Technology Theory and Application (JITTA), Vol. 4, Issue 1, Article 8, 43-64. Corpus ID: 168842031.
  • Afshari, A.R., Yusuff, R.M., & Derayatifar, A.R. (2013). “Linguistic Extension of Fuzzy Integral for Group Personnel Selection Problem”. Arabian Journal for Science and Engineering, 38(10),2901-2910. doi: 10.1007/s13369-012-0491-z.
  • Ashayeri,J., Tuzkaya, G., & Tuzkaya, U.R.(2012). “Supply chain partners and configuration selection: An intuitionistic fuzzy Choquet integral operator based approach”. Expert Systems with Applications. Vol.39, 3642-3649.doi: 10.1016/j.eswa.2011.09.055.
  • Auephanwiriyakul, S., Keller. J. M.., & Gader, P. D. (2002). “Generalized Choquet fuzzy integral fusion”. Information Fusion, Vol. 3, Issue 1, 69–85. doi:10.1016/S1566-2535(01)00054-9.
  • Barnes, S. J. (2002). “The mobile commerce value chain: analysis and future developments”. International Journal of Information Management, Vol. 22, No. 2, 91–108. doi:10.1016/S0268-4012(01)00047-0.
  • Buellingen, F., & Woerter, M. (2004). “Development perspectives. firm strategies and applications in mobile commerce”. Journal of Business Research, Vol. 57, Issue 12, 1402–1408. doi:10.1016/S0148-2963(02)00429-0.
  • Buyukozkan, G. (2009). “Determining the mobile commerce user requirements using an analytic approach”. Computer Standards & Interfaces, Vol. 31, Issue 1, 144–152. doi:10.1016/j.csi.2007.11.006.
  • Cai, Z., Zhang, Y., Wu, M. & Cai, D.(2015).“An Entropy-Robust Optimization of Mobile Commerce System Based on Multi-agent System”. Arabian Journal for Science and Engineering. doi:10.1007/s13369-015-1927-z.
  • Chang, D.Y. (1996). “Applications of the extent analysis method on fuzzy AHP”. European Journal of Operational Research, 95, 649–655. doi:10.1016/0377-2217(95)00300-2.
  • Chang, Y.F., Chen, C.S., & Zhou, H. (2009). “Smart phone for mobile commerce”. Computer Standards & Interfaces, 31, 740–747. doi:10.1016/j.csi.2008.09.016.
  • Chong, A.Y.-L., Chan, F.T.S., & Ooi, K.-B. (2012). “Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia”. Decision Support Systems, 53, 34–43. doi:10.1016/j.dss.2011.12.001.
  • Christou, E., & Kassianidis, P. (2010). “Adoption of Mobile Commerce in the Air Travel Sector: A Qualitative Survey of Attitudes”. TURIZAM, Vol.14, 1, 41-52.
  • Çetin Demirel, N., Demirel, T., Deveci, M., & Vardar, G., (2017), “Location selection for underground natural gas storage using Choquet integral”, Journal of Natural Gas Science and Engineering, Vol.45, 368-379, doi:10.1016/j.jngse.2017.05.013.
  • Delgado, M., Herrera, F., Herrera-Viedma, E., & Martnez, L. (1998). “Combining numerical and linguistic information in group decision making”. Information Sciences, 107, 177–194. doi:10.1016/S0020-0255(97)10044-5.
  • Demirel, T., Çetin Demirel, N., & Kahraman, C. (2010). “Multi-Criteria Warehouse Location Selection Using Choquet Integral”. Expert Systems with Applications, 5, 37, 3943-3952. doi:10.1016/j.eswa.2009.11.022.
  • Deveci, M., Özcan, E., John, R. & Öner, C.S. (2018), “Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey”, Journal of Air Transport Management, Vol.69, 83-98, doi:10.1016/j.jairtraman.2018.01.008.
  • Dahooie,J.H., & Arsalan, M.R.G. (2013). “Applying fuzzy integral for evaluating intensity of knowledge work in jobs”, International Journal of Industrial Engineering Computations. 4, 517-534. doi:10.5267/j.ijiec.2013.06.003.
  • Khan, A.A., Shameem, M., Nadeem, M., & Akbar, M.A. (2021). “Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping”, Applied Soft Computing, Vol.102, doi:10.1016/j.asoc.2021.107090
  • Grabisch, M., Murofushi, T., & Sugeno, M. (2000). “Fuzzy Measures and Integrals”. Physica-Verlag, New York.
  • GS1 (2008). “Mobile Commerce: opportunities and challenges”. A GS1 Mobile Com White Paper. Retrieved from http://www.gs1greece.org/DNLfiles/srvNhelp/GS1_Mobile_Com_Whitepaper.pdf .
  • Gu, X., & Zhu, Q. (2006). “Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space”. Decision Support Systems, 41, 400– 410. doi:10.1016/j.dss.2004.08.001.
  • Ishii, K., & Sugeno, M. (1985). “A Model of Human Evaluation Process Using Fuzzy Integral”. International Journal of Man-Machine Studies, 22, 1, 19-38. doi:10.1016/S0020-7373(85)80075-4.
  • Kabir, G., & Akhtar Hasin, A. (2011). “Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP”. Journal of Industrial Engineering and Management, 4, 2, 361-386. doi:http://dx.doi.org/10.3926/jiem..v4n2.p361-386.
  • Kahraman, C., Cebeci, U., & Ruan, D. (2004) “Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey”. International Journal of Production Economics, 87, 171–184. doi:10.1016/S0925-5273(03)00099-9.
  • Karjaluoto, H., Standing.C., Becker,M., & Leppaniemi, M. (2008). “Factors affecting Finnish consumers' intention to receive SMS marketing:A conceptual model and an empirical study”. International Journal of Electronic Business. 6(3), 298-318.doi: 10.1504/IJEB.2008.019109.
  • Liu, D.R., & Liou, C.H. (2011). “Mobile commerce product recommendations based on hybrid multiple channels”. Electronic Commerce Research and Applications, 10, 1, 94-104. doi:10.1016/j.elerap.2010.08.004
  • Mahatanankoon, P., Wen, H.J., & Lim, B. (2005). “Consumer-based m-commerce: exploring consumer perception of mobile applications”. Computer Standards & Interfaces, 27, 347–357. doi:10.1016/j.csi.2004.10.003.
  • Marichal, J-R., Meyer, P., & Roubens, M. (2005). “Sorting multi-attribute alternatives: The TOMASO method”. Computers and Operations Research, 32, 861-877. doi:10.1016/j.cor.2003.09.002
  • Meyer, P., & Roubens, M. (2006). “On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support”. Fuzzy Sets and Systems, 157, 927-938. doi:10.1016/j.fss.2005.11.014.
  • Mikhailov, L. (2002). “Fuzzy analytical approach to partnership selection in formation of virtual enterprises”. Omega, 30, 393-401. doi:10.1016/S0305-0483(02)00052-X.
  • Ngai, E.W.T., & Gunasekaran, A. (2007). “A review for mobile commerce research and applications”. Decision Support Systems, 43, 1, 3–15. doi:10.1016/j.dss.2005.05.003
  • O’Donnell, J., Jackson, M., Shelly, M., & Ligertwood, J. (2007). “Australian Case Studies in mobile commerce”. Journal of Theoretical and Applied Electronic Commerce Research, Vol.2, 2, 1-18.
  • Omar, S., Mohsen, K., Tsimonis, G., Oozeerally, A., Hsu, J-H., (2021), “M-commerce: The nexus between shopping service quality and loyalty”, Journal of Retailing and Consumer Services, Vol.60, doi:10.1016/j.jretconser.2021.102468.
  • Pousttchi, K., Selk, B., & Turowski, K. (2002). “Enabling mobile commerce through mass customization”. Proceedings of the EIS 2002 Workshop on Information Systems for Mass Customization, Malaga, 1-6.
  • Statista (2020). “Mobile retail e-commerce sales worldwide from 2016 to 2021 (in million U.S. dollars)”. In Key Figures of E-Commerce [Online]. Retrieved from https://www.statista.com/statistics/806323/mobile-retail-commerce-revenue-worldwide/.
  • Sugeno, M. (1974). “Theory of fuzzy integrals and its applications”. PhD Thesis. Tokyo: Tokyo Institute of Technology.
  • Tsai, H.-H., & Lu, I.-Y. (2006). “The evaluation of service quality using generalized Choquet integral”. Information Sciences. 176(6), 640–663. doi:10.1016/j.ins.2005.01.015.
  • University of St Andrews. (2014).“Mobile connection methods explained”. http://www.st-andrews.ac.uk/itsupport/mobile/dataconnectionspceds/ . Accessed 14 April 2014.
  • Varnali, K.,& Toker, A. (2010). “Mobile Marketing Research:The-state-of-the-art”.International Journal of Information Management, Vol.30,144- 151. doi: 10.1016/j.ijinfomgt.2009.08.009.
  • Venkatesh, V., Ramesh, V., & Massey, A.P. (2003). “Understanding usability in mobile commerce”. Communications of the ACM, 46, 12, 53–56. doi:10.1145/953460.953488.
  • Wang, R.J-H., Malthouse, E.C.,& Krishnamurthi, L., (2015), “On the Go: How Mobile Shopping Affects Customer Purchase Behavior”, Journal of Retailing, Vol.91, Issue 2, 217-234, doi:10.1016/j.jretai.2015.01.002.
  • Wang, Y.M., Luo, Y., & Hua, Z. (2008). “On the extent analysis method for fuzzy AHP and its applications”. European Journal of Operational Research, 186, 735–747. doi:10.1016/j.ejor.2007.01.050.
  • Yang,W., & Chen,Z. (2012). “New aggregation operators based on the Choquet integral and 2-tuple linguistic information”. Expert Systems with Applications, 39, 2662-2668. doi:10.1016/j.eswa.2011.08.121.
  • Zhang,J., & Mao, E.(2008). “Understanding the acceptance of mobile SMS advenising among young Chinese consumers”. Psychology&Marketing, 25,8,787-805. doi: 10.1002/mar.20239.

EVALUATION AND ANALYSIS OF MOBILE COMMERCE TECHNOLOGIES USING A CHOQUET INTEGRAL-BASED APPROACH

Year 2021, Volume: 17 Issue: 1, 103 - 129, 19.04.2021

Abstract

Mobile Commerce is any transaction that involves the transfer of ownership or rights to use goods and services, which is initiated and/or completed by using mobile access to computer-mediated networks via an electronic device. Selection among m-commerce technologies is a multi-criteria evaluation problem having many conflicting and interactive criteria. In this study, 4 main criteria, which are economic trends, social trends, technological possibilities and data security and IT security, and 14 subcriteria are determined to evaluate m-commerce standards and technologies. Choquet integral is used to evaluate mobile commerce technologies with multiple criteria. The accuracy of the obtained results is examined through a sensitivity analysis.

References

  • Abdelkarim, A. A., & Nasereddin, H. H. O. (2010). “Mobile Commerce”. Journal of Mathematics and Technology. 4, 51-55, ISSN:2078-0257.
  • Al Hosni, N., Ali, S., & Ashrafi, R. (2010). “The key success factors to mobile commerce for Arab countries in Middle East”. Proceedings of the 12th International Conference on Information Integration and Web-based Applications and Services, November 8-10, Paris, France, 787-790.
  • Alturaigi, N.S., & Altameem, A.A. (2015). “Critical Success Factors For M-Commerce in Saudi Arabia’s Private Sector: A Multiple Case Study Analysis”. International Journal of Information Technology Convergence and Services (IJITCS), Vol. 5, No. 6. doi:10.5121/ijitcs.2015.5601.
  • Anckar, B., & D’Incau, D. (2002). “Value Creation in Mobile Commerce: Findings From a Consumer Survey”. The Journal of Information Technology Theory and Application (JITTA), Vol. 4, Issue 1, Article 8, 43-64. Corpus ID: 168842031.
  • Afshari, A.R., Yusuff, R.M., & Derayatifar, A.R. (2013). “Linguistic Extension of Fuzzy Integral for Group Personnel Selection Problem”. Arabian Journal for Science and Engineering, 38(10),2901-2910. doi: 10.1007/s13369-012-0491-z.
  • Ashayeri,J., Tuzkaya, G., & Tuzkaya, U.R.(2012). “Supply chain partners and configuration selection: An intuitionistic fuzzy Choquet integral operator based approach”. Expert Systems with Applications. Vol.39, 3642-3649.doi: 10.1016/j.eswa.2011.09.055.
  • Auephanwiriyakul, S., Keller. J. M.., & Gader, P. D. (2002). “Generalized Choquet fuzzy integral fusion”. Information Fusion, Vol. 3, Issue 1, 69–85. doi:10.1016/S1566-2535(01)00054-9.
  • Barnes, S. J. (2002). “The mobile commerce value chain: analysis and future developments”. International Journal of Information Management, Vol. 22, No. 2, 91–108. doi:10.1016/S0268-4012(01)00047-0.
  • Buellingen, F., & Woerter, M. (2004). “Development perspectives. firm strategies and applications in mobile commerce”. Journal of Business Research, Vol. 57, Issue 12, 1402–1408. doi:10.1016/S0148-2963(02)00429-0.
  • Buyukozkan, G. (2009). “Determining the mobile commerce user requirements using an analytic approach”. Computer Standards & Interfaces, Vol. 31, Issue 1, 144–152. doi:10.1016/j.csi.2007.11.006.
  • Cai, Z., Zhang, Y., Wu, M. & Cai, D.(2015).“An Entropy-Robust Optimization of Mobile Commerce System Based on Multi-agent System”. Arabian Journal for Science and Engineering. doi:10.1007/s13369-015-1927-z.
  • Chang, D.Y. (1996). “Applications of the extent analysis method on fuzzy AHP”. European Journal of Operational Research, 95, 649–655. doi:10.1016/0377-2217(95)00300-2.
  • Chang, Y.F., Chen, C.S., & Zhou, H. (2009). “Smart phone for mobile commerce”. Computer Standards & Interfaces, 31, 740–747. doi:10.1016/j.csi.2008.09.016.
  • Chong, A.Y.-L., Chan, F.T.S., & Ooi, K.-B. (2012). “Predicting consumer decisions to adopt mobile commerce: Cross country empirical examination between China and Malaysia”. Decision Support Systems, 53, 34–43. doi:10.1016/j.dss.2011.12.001.
  • Christou, E., & Kassianidis, P. (2010). “Adoption of Mobile Commerce in the Air Travel Sector: A Qualitative Survey of Attitudes”. TURIZAM, Vol.14, 1, 41-52.
  • Çetin Demirel, N., Demirel, T., Deveci, M., & Vardar, G., (2017), “Location selection for underground natural gas storage using Choquet integral”, Journal of Natural Gas Science and Engineering, Vol.45, 368-379, doi:10.1016/j.jngse.2017.05.013.
  • Delgado, M., Herrera, F., Herrera-Viedma, E., & Martnez, L. (1998). “Combining numerical and linguistic information in group decision making”. Information Sciences, 107, 177–194. doi:10.1016/S0020-0255(97)10044-5.
  • Demirel, T., Çetin Demirel, N., & Kahraman, C. (2010). “Multi-Criteria Warehouse Location Selection Using Choquet Integral”. Expert Systems with Applications, 5, 37, 3943-3952. doi:10.1016/j.eswa.2009.11.022.
  • Deveci, M., Özcan, E., John, R. & Öner, C.S. (2018), “Interval type-2 hesitant fuzzy set method for improving the service quality of domestic airlines in Turkey”, Journal of Air Transport Management, Vol.69, 83-98, doi:10.1016/j.jairtraman.2018.01.008.
  • Dahooie,J.H., & Arsalan, M.R.G. (2013). “Applying fuzzy integral for evaluating intensity of knowledge work in jobs”, International Journal of Industrial Engineering Computations. 4, 517-534. doi:10.5267/j.ijiec.2013.06.003.
  • Khan, A.A., Shameem, M., Nadeem, M., & Akbar, M.A. (2021). “Agile trends in Chinese global software development industry: Fuzzy AHP based conceptual mapping”, Applied Soft Computing, Vol.102, doi:10.1016/j.asoc.2021.107090
  • Grabisch, M., Murofushi, T., & Sugeno, M. (2000). “Fuzzy Measures and Integrals”. Physica-Verlag, New York.
  • GS1 (2008). “Mobile Commerce: opportunities and challenges”. A GS1 Mobile Com White Paper. Retrieved from http://www.gs1greece.org/DNLfiles/srvNhelp/GS1_Mobile_Com_Whitepaper.pdf .
  • Gu, X., & Zhu, Q. (2006). “Fuzzy multi-attribute decision-making method based on eigenvector of fuzzy attribute evaluation space”. Decision Support Systems, 41, 400– 410. doi:10.1016/j.dss.2004.08.001.
  • Ishii, K., & Sugeno, M. (1985). “A Model of Human Evaluation Process Using Fuzzy Integral”. International Journal of Man-Machine Studies, 22, 1, 19-38. doi:10.1016/S0020-7373(85)80075-4.
  • Kabir, G., & Akhtar Hasin, A. (2011). “Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP”. Journal of Industrial Engineering and Management, 4, 2, 361-386. doi:http://dx.doi.org/10.3926/jiem..v4n2.p361-386.
  • Kahraman, C., Cebeci, U., & Ruan, D. (2004) “Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey”. International Journal of Production Economics, 87, 171–184. doi:10.1016/S0925-5273(03)00099-9.
  • Karjaluoto, H., Standing.C., Becker,M., & Leppaniemi, M. (2008). “Factors affecting Finnish consumers' intention to receive SMS marketing:A conceptual model and an empirical study”. International Journal of Electronic Business. 6(3), 298-318.doi: 10.1504/IJEB.2008.019109.
  • Liu, D.R., & Liou, C.H. (2011). “Mobile commerce product recommendations based on hybrid multiple channels”. Electronic Commerce Research and Applications, 10, 1, 94-104. doi:10.1016/j.elerap.2010.08.004
  • Mahatanankoon, P., Wen, H.J., & Lim, B. (2005). “Consumer-based m-commerce: exploring consumer perception of mobile applications”. Computer Standards & Interfaces, 27, 347–357. doi:10.1016/j.csi.2004.10.003.
  • Marichal, J-R., Meyer, P., & Roubens, M. (2005). “Sorting multi-attribute alternatives: The TOMASO method”. Computers and Operations Research, 32, 861-877. doi:10.1016/j.cor.2003.09.002
  • Meyer, P., & Roubens, M. (2006). “On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support”. Fuzzy Sets and Systems, 157, 927-938. doi:10.1016/j.fss.2005.11.014.
  • Mikhailov, L. (2002). “Fuzzy analytical approach to partnership selection in formation of virtual enterprises”. Omega, 30, 393-401. doi:10.1016/S0305-0483(02)00052-X.
  • Ngai, E.W.T., & Gunasekaran, A. (2007). “A review for mobile commerce research and applications”. Decision Support Systems, 43, 1, 3–15. doi:10.1016/j.dss.2005.05.003
  • O’Donnell, J., Jackson, M., Shelly, M., & Ligertwood, J. (2007). “Australian Case Studies in mobile commerce”. Journal of Theoretical and Applied Electronic Commerce Research, Vol.2, 2, 1-18.
  • Omar, S., Mohsen, K., Tsimonis, G., Oozeerally, A., Hsu, J-H., (2021), “M-commerce: The nexus between shopping service quality and loyalty”, Journal of Retailing and Consumer Services, Vol.60, doi:10.1016/j.jretconser.2021.102468.
  • Pousttchi, K., Selk, B., & Turowski, K. (2002). “Enabling mobile commerce through mass customization”. Proceedings of the EIS 2002 Workshop on Information Systems for Mass Customization, Malaga, 1-6.
  • Statista (2020). “Mobile retail e-commerce sales worldwide from 2016 to 2021 (in million U.S. dollars)”. In Key Figures of E-Commerce [Online]. Retrieved from https://www.statista.com/statistics/806323/mobile-retail-commerce-revenue-worldwide/.
  • Sugeno, M. (1974). “Theory of fuzzy integrals and its applications”. PhD Thesis. Tokyo: Tokyo Institute of Technology.
  • Tsai, H.-H., & Lu, I.-Y. (2006). “The evaluation of service quality using generalized Choquet integral”. Information Sciences. 176(6), 640–663. doi:10.1016/j.ins.2005.01.015.
  • University of St Andrews. (2014).“Mobile connection methods explained”. http://www.st-andrews.ac.uk/itsupport/mobile/dataconnectionspceds/ . Accessed 14 April 2014.
  • Varnali, K.,& Toker, A. (2010). “Mobile Marketing Research:The-state-of-the-art”.International Journal of Information Management, Vol.30,144- 151. doi: 10.1016/j.ijinfomgt.2009.08.009.
  • Venkatesh, V., Ramesh, V., & Massey, A.P. (2003). “Understanding usability in mobile commerce”. Communications of the ACM, 46, 12, 53–56. doi:10.1145/953460.953488.
  • Wang, R.J-H., Malthouse, E.C.,& Krishnamurthi, L., (2015), “On the Go: How Mobile Shopping Affects Customer Purchase Behavior”, Journal of Retailing, Vol.91, Issue 2, 217-234, doi:10.1016/j.jretai.2015.01.002.
  • Wang, Y.M., Luo, Y., & Hua, Z. (2008). “On the extent analysis method for fuzzy AHP and its applications”. European Journal of Operational Research, 186, 735–747. doi:10.1016/j.ejor.2007.01.050.
  • Yang,W., & Chen,Z. (2012). “New aggregation operators based on the Choquet integral and 2-tuple linguistic information”. Expert Systems with Applications, 39, 2662-2668. doi:10.1016/j.eswa.2011.08.121.
  • Zhang,J., & Mao, E.(2008). “Understanding the acceptance of mobile SMS advenising among young Chinese consumers”. Psychology&Marketing, 25,8,787-805. doi: 10.1002/mar.20239.
There are 47 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Tufan Demirel 0000-0003-3051-5067

Publication Date April 19, 2021
Published in Issue Year 2021 Volume: 17 Issue: 1

Cite

APA Demirel, T. (2021). EVALUATION AND ANALYSIS OF MOBILE COMMERCE TECHNOLOGIES USING A CHOQUET INTEGRAL-BASED APPROACH. Journal of Naval Sciences and Engineering, 17(1), 103-129.