محددات رضا العملاء عن خدمات الدفع عن طريق الهاتف المحمول: الدور المعدل لابتكارية العميل.

نوع المستند : المقالة الأصلية

المؤلفون

1 عميد كلية الأعمال ـ جامعة المنصورة الجديدة

2 أستاذ التسويق ووكيل كلية التجارة للدراسات العليا ـ جامعة المنصورة

3 كلية التجارة ـ جامعة المنصورة

المستخلص

الملخص
استهدفت الدراسة الحالية بحث دور كل من أبعاد القيمة المدركة المتمثلة في (الفائدة المدركة، سهولة الاستخدام المدركة، راحة التعاملات المدركة، وسرعة التعاملات المدركة) وأبعاد التضحيات المدركة (مخاطر الخصوصية المدركة، التكلفة المدركة، المخاطر المالية المدركة) على رضا العملاء عن خدمات الدفع عن طريق الهاتف المحمول، وذلك بالاعتماد على التكامل بين نموذج قبول تكنولوجيا الهاتف المحمول (MTAM)، ونموذج التبني القائم على القيمة (VAM). كما قامت الدراسة ببحث الدور المعدل للابتكار الشخصي بين متغيرات الدراسة. وقد بلغ حجم عينة الدراسة 430 عميل من عملاء المحافظ الإلكترونية بمحافظة الدقهلية. وقد تم تحليل البيانات باستخدام أسلوب نمذجة المعادلة الهيكلية بالمربعات الصغرى الجزئية PLS-SEM اعتماداً على البرنامج الإحصائي WarpPLS.7. وقد توصلت نتائج الدراسة إلى وجود تأثير معنوي إيجابي لجميع أبعاد القيمة المدركة على رضا العملاء عن خدمات الدفع عن طريق الهاتف المحمول. كما توصلت الدراسة لوجود تأثير معنوي سلبي لجميع أبعاد التضحيات المدركة على رضا العملاء عن خدمات الدفع عن طريق الهاتف المحمول. كما تشير النتائج إلى أن ابتكارية العميل تلعب دوراً معدلاً في العلاقة بين كل أبعاد القيمة المدركة وأبعاد التضحيات المدركة من ناحية، ورضا العملاء عن خدمة الدفع عن طريق الهاتف المحمول من ناحية أخري.
 

الكلمات الرئيسية

الموضوعات الرئيسية


10- المراجع أولاً: المراجع العربية إدريس، ثابت عبد الرحمن، (2008). بحوث التسويق: أساليب القياس والتحليل واختبار الفروض. الدار الجامعية، الإسكندرية، جمهورية مصر العربية. ثانياً: المراجع الأجنبية Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–215. Al-Okaily, M., Alalwan, A. A., Al-Fraihat, D., Alkhwaldi, A. F., Rehman, S. U., & Al-Okaily, A. (2022). Investigating antecedents of mobile payment systems’ decision-making: a mediated model. Global Knowledge, Memory and Communication, ahead-of-print(ahead-of-print). https://doi.org/10.1108/GKMC-10-2021-0171 Ashfaq, M., Yun, J., Yu, S., Maria, S., & Loureiro, C. (2020). I , Chatbot : Modeling the determinants of users ’ satisfaction and continuance intention of AI-powered service agents. Telematics and Informatics, 54(April), 101473. Bailey, A. A., Bonifield, C. M., Arias, A., & Villegas, J. (2022). Mobile payment adoption in Latin America. Journal of Services Marketing, ahead-of-p(ahead-of-print). https://doi.org/10.1108/JSM-04-2021-0130 Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. Boden, J., Maier, E., & Wilken, R. (2020). The effect of credit card versus mobile payment on convenience and consumers ’ willingness to pay. Journal of Retailing and Consumer Services, 52, 101910. https://doi.org/10.1016/j.jretconser.2019.101910 Chang, M. K., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42, 543–559. https://doi.org/10.1016/j.im.2004.02.006 Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256 Chen, L. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32–52. Chen, L., & Nath, R. (2008). Determinants of Mobile Payments : An Empirical Analysis. Journal of International Technology and Information Management, 17(1). Cheong, J., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research, 15(2), 125–140. https://doi.org/10.1108/10662240510590324 Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. de Luna, I. R., Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2019). Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931–944. https://doi.org/10.1016/j.techfore.2018.09.018 Dewan, S. G., & Chen, L. (2005). Mobile Payment Adoption in the US: A Cross-industry, Crossplatform Solution. Journal of Information Privacy and Security, 1(2), 4–28. https://doi.org/10.1080/15536548.2005.10855765 Di Pietro, L., Guglielmetti Mugion, R., Mattia, G., Renzi, M. F., & Toni, M. (2015). The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport. Transportation Research Part C: Emerging Technologies, 56, 463–479. https://doi.org/10.1016/j.trc.2015.05.001 Espejel, J., Fandos, C., & Flavián, C. (2009). The influence of consumer degree of knowledge on consumer behavior: The case of Spanish olive oil. Journal of Food Products Marketing, 15(1), 15–37. https://doi.org/10.1080/10454440802470565 Fan, J., Shao, M., Li, Y., & Huang, X. (2018). Understanding users’ attitude toward mobile payment use: A comparative study between China and the USA. Industrial Management and Data Systems, 118(3), 524–540. https://doi.org/10.1108/IMDS-06-2017-0268 Fan, L., Zhang, X., Rai, L., & Du, Y. (2021). Mobile payment: The next frontier of payment systems? - an empirical study based on push-pull-mooring framework. Journal of Theoretical and Applied Electronic Commerce Research, 16(2), 155–169. https://doi.org/10.4067/S0718-18762021000200111 Franque, F. B., Oliveira, T., & Tam, C. (2022). Continuance Intention of Mobile Payment: TTF Model with Trust in an African Context. Information Systems Frontiers. https://doi.org/10.1007/s10796-022-10263-8 George, D., & Mallery, P. (2019). IBM SPSS statistics 26 step by step: A simple guide and reference. Routledge. https://doi.org/https://doi.org/10.4324/9780429056765 Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications. Hsiao, M.-H. (2021). Post-purchase behaviour from customer perceived value of mobile payment services. Journal of Modelling in Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JM2-11-2020-0293 Hsu, C., & Lin, J. C. (2018). Exploring Factors Affecting the Adoption of Internet of Things Services. Journal of Computer Information Systems, 58(1), 49–57. https://doi.org/10.1080/08874417.2016.1186524 Innopay. (2013). Innopay Mobile Payments 2013. Slideshare. https://www.slideshare.net/Innopay/innopay-mobile-payments-2013 Jaradat, M. I. R. M., & Al-Mashaqba, A. M. (2014). Understanding the adoption and usage of mobile payment services by using TAM3. International Journal of Business Information Systems, 16(3), 271–296. https://doi.org/10.1504/IJBIS.2014.063768 Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. https://doi.org/10.1016/j.chb.2009.10.013 Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7). Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327–346. https://doi.org/10.1108/IJBM-03-2015-0025 Lei, H., Lan, J., & Sleiman, K. A. A. (2022). An Empirical Study on Investigating Mobile Payment Effect on Automated Teller Machine Use. Open Journal of Business and Management, 10(3), 1071–1087. Leong, L.-Y., Hew, J.-J., Wong, L.-W., & Lin, B. (2022). The past and beyond of mobile payment research: a development of the mobile payment framework. Internet Research, ahead-of-p(ahead-of-print). https://doi.org/10.1108/INTR-06-2021-0348 Leong, L., Hew, T., Tan, G. W., & Ooi, K. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance : A neural networks approach. Expert Systems With Applications, 40, 5604–5620. https://doi.org/10.1016/j.eswa.2013.04.018 Liébana-Cabanillas, F., de Luna, I. R., & Montoro-Ríosa, F. (2017). Intention to use new mobile payment systems: A comparative analysis of SMS and NFC payments. Economic Research-Ekonomska Istrazivanja , 30(1), 892–910. https://doi.org/10.1080/1331677X.2017.1305784 Liébana-Cabanillas, F., García-Maroto, I., Muñoz-Leiva, F., & Ramos-de-Luna, I. (2020). Mobile Payment Adoption in the Age of Digital Transformation: The Case of Apple Pay. In Sustainability (Vol. 12, Issue 13). https://doi.org/10.3390/su12135443 Liébana-Cabanillas, F., Luna, I. R. de, Francisco, & Montoro-Ríos, J. (2015). User behaviour in QR mobile payment system : the QR Payment Acceptance Model. Technology Analysis & Strategic Management, 27(9), 1031–1049. https://doi.org/10.1080/09537325.2015.1047757 Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. Journal of Strategic Information Systems, 14(3), 245–268. https://doi.org/10.1016/j.jsis.2005.07.003 Lu, Y., Yang, S., Chau, P. Y. K., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information and Management, 48(8), 393–403. https://doi.org/10.1016/j.im.2011.09.006 Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. Journal of Strategic Information Systems, 16, 413–432. https://doi.org/10.1016/j.jsis.2007.08.001 Mazloum, A. (2022). Expanding use of e-wallets in Egypt: Strengthening the social contract one transaction at a time. Middle East Institute. https://www.mei.edu/publications/expanding-use-e-wallets-egypt-strengthening-social-contract-one-transaction-time Migliore, G., Wagner, R., Cechella, F. S., & Liébana-Cabanillas, F. (2022). Antecedents to the Adoption of Mobile Payment in China and Italy: an Integration of UTAUT2 and Innovation Resistance Theory. Information Systems Frontiers. https://doi.org/10.1007/s10796-021-10237-2 Mishra, V., Walsh, I., & Srivastava, A. (2022). Merchants’ adoption of mobile payment in emerging economies: the case of unorganised retailers in India. European Journal of Information Systems, 31(1), 74–90. https://doi.org/10.1080/0960085X.2021.1978338 Mohammadi, H. (2015). A study of mobile banking loyalty in Iran. Computers in Human Behavior, 44, 35–47. https://doi.org/10.1016/j.chb.2014.11.015 Mounir, S. (2020). Expanding e - payments in Egypt. Ahram Online. http://english.ahram.org.eg/News/381160.aspx Nan, D., Kim, Y., Park, M. H., & Kim, J. H. (2020). What Motivates Users to Keep Using Social Mobile Payments? In Sustainability (Vol. 12, Issue 17). https://doi.org/10.3390/su12176878 Ng-Kruelle, G., Swatman, P., Rebne, D., & Hampe, F. (2002). The Price of Convenience: Privacy and Mobile Commerce. Quarterly Journal of Electronic Commerce, 3(3), 273–385. http://apache.iwi.uni-koblenz.de:8080/iwi/bks/publikationen/ThePriceOfConvenience_QJEC_R2.pdf Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404–414. https://doi.org/10.1016/j.chb.2016.03.030 Oliver R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460–469. Ooi, K., & Tan, G. W. (2016). Mobile technology acceptance model : An investigation using mobile users to explore smartphone credit card. Expert Systems With Applications, 59, 33–46. https://doi.org/10.1016/j.eswa.2016.04.015 Pal, D., Vanijja, V., & Papasratorn, B. (2015). An Empirical Analysis towards the Adoption of NFC Mobile Payment System by the End User. Procedia Computer Science, 69, 13–25. https://doi.org/10.1016/j.procs.2015.10.002 Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined technology readiness index: TRI 2.0. Journal of Service Research, 18(1), 59–74. Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879. Raman, P., & Aashish, K. (2021). To continue or not to continue: a structural analysis of antecedents of mobile payment systems in India. International Journal of Bank Marketing. https://doi.org/10.1108/IJBM-04-2020-0167 Ramos-de-Luna, I., Montoro-Rı´os, F., & Lie´bana-Cabanillas, F. (2016). Determinants of the intention to use NFC technology as a payment system : an acceptance model approach. Information Systems and E-Business Management, 14(2), 293–314. https://doi.org/10.1007/s10257-015-0284-5 Roostika, R. (2012). Mobile Internet Acceptance among University Students: A Value-based Adoption Model. International Journal of Research in Management & Technology, 2(1), 21–28. Sahi, A. M., Khalid, H., Abbas, A. F., Zedan, K., Khatib, S. F. A., & Al Amosh, H. (2022). The Research Trend of Security and Privacy in Digital Payment. In Informatics (Vol. 9, Issue 2). https://doi.org/10.3390/informatics9020032 Saunders, M. N., Saunders, M., Lewis, P., & Thornhill, A. (2011). Research methods for business students, 5th edition. Pearson Education India. Shankar, A., & Datta, B. (2018). Factors Affecting Mobile Payment Adoption Intention : An Indian Perspective. Global Business Review, 19(3), S72–S89. https://doi.org/10.1177/0972150918757870 Shin, D. (2009). Computers in Human Behavior Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354. https://doi.org/10.1016/j.chb.2009.06.001 Srivastava, S., & Singh, N. (2022). An integrated model predicting customers’ continuance behavioral intention and recommendations of users: a study on mobile payment in emerging markets. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-022-00147-y Sweeney, J. C., & Soutar, G. N. (2001). Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77(2), 203–220. https://doi.org/https://doi.org/10.1016/S0022-4359(01)00041-0 Tan, G. W., Ooi, K., Chong, S., & Hew, T. (2014). NFC mobile credit card : The next frontier of mobile payment ? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002 Teo, A., Tan, G. W., Ooi, K.-B., Hew, T., & Yew, K.-T. (2015). The effects of convenience and speed in m-payment. Industrial Management & Data Systems, 115(2), 311–331. https://doi.org/10.1108/IMDS-08-2014-0231 Tew, H.-T., Tan, G. W.-H., Loh, X.-M., Lee, V.-H., Lim, W.-L., & Ooi, K.-B. (2022). Tapping the Next Purchase: Embracing the Wave of Mobile Payment. Journal of Computer Information Systems, 62(3), 527–535. https://doi.org/10.1080/08874417.2020.1858731 Thakur, R., & Srivastava, M. (2014). Adoption readiness , personal innovativeness , perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244 Upadhyay, N., Upadhyay, S., Abed, S. S., & Dwivedi, Y. K. (2022). Consumer adoption of mobile payment services during COVID-19: extending meta-UTAUT with perceived severity and self-efficacy. International Journal of Bank Marketing, 40(5), 960–991. https://doi.org/10.1108/IJBM-06-2021-0262 Widyanto, H. A., Kusumawardani, K. A., & Yohanes, H. (2021). Safety first: extending UTAUT to better predict mobile payment adoption by incorporating perceived security, perceived risk and trust. Journal of Science and Technology Policy Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/JSTPM-03-2020-0058 Yan, L., Tan, G. W., Loh, X., Hew, J., & Ooi, K. (2021). QR code and mobile payment : The disruptive forces in retail. Journal of Retailing and Consumer Services, 58, 102300. Yan, L. Y., Tan, G. W. H., Loh, X. M., Hew, J. J., & Ooi, K. B. (2021). QR code and mobile payment: The disruptive forces in retail. Journal of Retailing and Consumer Services, 58, 102300. https://doi.org/10.1016/j.jretconser.2020.102300 Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269. https://doi.org/10.1108/IMDS-08-2014-0243 Zeitham, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2–22. Determinants of Customer Satisfaction with Mobile Payment Services: The Moderating Role of Customer Innovativeness. Abstract This study aimed to examine the role of the perceived value dimensions (perceived usefulness, perceived ease of use, perceived transaction convenience, and perceived transaction speed) on customers' satisfaction with mobile payment services. It also aimed to examine the role of perceived sacrifices dimensions (perceived privacy risk, perceived cost, and perceived financial risk) on customers’ satisfaction with mobile payment services. The study also investigated the moderating role of customer innovativeness among the study variables. The current study integrated the Mobile Technology Acceptance Model (MTAM) and the Value-based Adoption Model (VAM) to build a study model. The sample size was 430 individuals from e-wallets customers in Dakahlia Governorate. The data were analyzed using the partial least squares structural equation modelling (PLS-SEM) method, based on the statistical program WarpPLS.7. The study found a significant positive effect of all dimensions of perceived value on customers’ satisfaction with mobile payment services. It also found a significant negative effect of perceived privacy risk, perceived cost, and perceived financial risks on customers’ satisfaction with mobile payment services. Furthermore, the study found that customer innovativeness moderates the relationship between all dimensions of perceived value and customers’ satisfaction with mobile payment services. It also found that customer innovativeness moderates the relationship between all dimensions of perceived sacrifices and customers’ satisfaction with mobile payment services. Keywords: Perceived value, Perceived sacrifices, Customer satisfaction, Mobile paymen