Araştırma Makalesi
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Yıl 2016, Cilt: 5 Sayı: 1, 73 - 92, 30.03.2016
https://doi.org/10.17261/Pressacademia.2016116555

Öz

Kaynakça

  • Agarwal, R., & Prasad, J. 1998, “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology”, Information Systems Research, Vol.9, no.2, pp. 204–215.
  • Ajzen, I. 1991, “The theory of planned behavior.” Organizational behavior and human decision processes, No.50, pp. 179–211.
  • Ajzen, I., & Fishbein, M. 1980, Understanding Attitudes and Predicting Social Behaviour, Englewood Cliffs, NJ: Prentice Hall PTR.
  • Anderson, J., & Gerbing, D. 1988, “Structural equation modeling in practice: A review and recommended two-step approach.” Psychological Bulletin, Vol.103, no.3, pp. 411–423.
  • App Annie & MEF. 2014, “Emerging Markets and Growth in the Global App Economy”. http://blog.appannie.com/app-annie-mef-globalapp-economy-q3-2014/
  • Arvidsson, N. 2013, “Consumer attitudes on mobile payment services – results from a proof of concept test.” International Journal of Bank Marketing, Vol.32, no.2, pp. 150–170.
  • Bhattacherjee, A. 2001, “An empirical analysis of the antecedents of electronic commerce service continuance.” Decision Support Systems, Vol.32, no.2, pp. 201–214.
  • Blake, B. F., Neuendorf, K. a., & Valdiserri, C. M. 2003, “Innovativeness and variety of Internet shopping”. Internet Research, Vol.13, no.3, pp. 156–169.
  • Burdge, B. 2014, “New Research Shows Mobile Dominates Desktops”. MovableInk. Retrieved from http://blog.movableink.com/newresearch-shows-mobile-dominates-desktops-with-65-of-total-email-opens-in-q4-2013/
  • Capgemini, & RBS. 2015, World Payments Report 2015. https://www.worldpaymentsreport.com
  • Carmines, E. G., & Zeller, R. A. 1979, Reliability and Validity Assessment. Beverly Hills, California: Sage Publications.
  • Carrington, D. 2014, US Mobile Payments Will Reach $142B by 2019. Forrester. Retrieved November 25, 2015, from http://blogs.forrester.com/denee_carrington/14-11-17-us_mobile_payments_will_reach_142b_by_2019
  • Chang, C.-C., & Chin, Y.-C. 2011, “Predicting the Usage Intention of Social Network Games: An Intrinsic-Extrinsic Motivation Theory Perspective”, International Journal of Online Marketing, Vol.1, no.3, pp. 29–37.
  • Chang, M. K., Cheung, W., & Lai, V. S. 2005, “Literature derived reference models for the adoption of online shopping.” Information and Management, Vol.42, no.4, pp. 543–559.
  • Chen, L., & Nath, R. 2008, “Determinants of mobile payments: an empirical analysis”, Journal of International Technology and Information, Vol.17, no.1, pp. 9 – 20.
  • ComScore. 2014, “The US Mobile App Report.” http://www.slideshare.net/LudovicP/comscore-us-mobile-app-report-june-2014datatheusmobileappreport
  • Criteo. 2015, “State of Mobile Commerce.” Http://www.criteo.com/resources/mobile-commerce-report/
  • Crowe, M., & Tavilla, E. 2012, ”Mobile Phone Technology: “Smarter” Than We Thought How Technology Platforms are Securing Mobile Payments in the U.S.”, Boston, USA. http://www.bostonfed.org/bankinfo/payment-strategies/index.htm
  • Dahlberg, T., & Mallat, N. 2002, “Mobile Payment Service Development - Managerial Implications of Consumer Value Perceptions”, Proceedings of the Tenth European Conference on Information Systems, pp. 649–657.
  • Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. 2008, “Past, present and future of mobile payments research: A literature review”, Journal of Commerce Research and Applications, 7, pp. 165–181.
  • Dash, M., Bhusan, P. B., & Samal, S. 2014, “Determinants of Customers’ Adoption of Mobile Banking: An Empirical Study by Integrating Diffusion of Innovation with Attitude”, Journal of Internet Banking and Commerce, Vol.19, no.3, pp. 1–21.
  • Davis, F. D. 1989, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”. MIS Quarterly, Vol.13, no.3, pp. 319–340.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1992, “Extrinsic and intrinsic motivation to use computers in the workplace”. Journal of Applied Social Psychology, Vol.22, no.14, p. 1111.
  • Davison, A. C., & Hinkley, D. V. 1997, “Bootstrap Methods and Their Application”. Cambridge, UK: Cambridge University Press.
  • Deci, E. L., Vallerand, R. J., Pelletier, L. G., & Ryan, R. M. 1991, “Motivation and Education: The Self-Determination Perspective”. Educational Psychologist, Vol.26, no.3-4, pp. 325–346.
  • Fishbein, M., & Ajzen, I. 1975, Belief, attitude, intention, and behavior: an introduction to theory and research Reading: Addison-Wesley.
  • Fornell, C., & Larcker, D. F. 1981, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, Vol.18, no.1, pp. 39–50.
  • Gefen, D., Karahanna, E., & Straub, D. 2003, “Trust and TAM in online shopping: an integrated model” MIS Quarterly, Vol.27, no.1, pp. 51– 90.
  • Geisser, S. 1974, “A predictive approach to the random effect model”, Biometrika, No.61, pp. 101–107.
  • Gross, M. B., Hogarth, J. M., & Schmeiser, M. D. 2012, “Use of Financial Services by the Unbanked and Underbanked and the Potential for Mobile Financial Services Adoption”, Federal Reserve Bulletin, No.98, pp. 1–20.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. 2011, “PLS-SEM: Indeed a Silver Bullet”, The Journal of Marketing Theory and Practice, Vol.19, no.2, pp. 139–152.
  • Hair, J. F., Tomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. 2013, A Primer on Partial Least Squares Structural Equation Modeling (PLSSEM). Thousand Oaks: Sage Publications, Inc.
  • Van der Heijden, H. 2004, “User acceptance of hedonic information systems”, MIS Quarterly, Vol.28, no.4, pp. 695–704.
  • Henseler, J., Ringle, C. M., & Sinkovics, R. R. 2009, “The use of partial least squares path modeling in international marketing”, Advances in international marketing, No.20, pp. 277–320.
  • Hong, S., Thong, J. Y. L., & Tam, K. Y. 2006, “Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet”, Decision Support Systems, Vol.42, no.3, pp. 1819–1834.
  • Hu, T., Poston, R., & Kettinger, W. 2011, “Nonadopters of online social network services: Is it easy to have fun yet?”, Communications of the Association of IS, No.29, pp. 441–458.
  • IAB Turkey. 2015, “The Locomotive of Page View: Mobile”, IAB Bulletin. Retrieved October 10, 2015, from http://www.iabturkiye.org/sites/default/files/infografik_haziran_ing.pdf.
  • IBM Commerce. 2015, “Black Friday Report 2015”, Somers NY. http://www-01.ibm.com/software/marketing-solutions/benchmarkreports/black-friday-2013.html
  • ICTA. 2015, “ELECTRONIC COMMUNICATIONS MARKET IN TURKEY”. Ankara. http://www.btk.gov.tr/en-US/Pages/Market-Data
  • Jackson, C. M., Chow, S., & Leitch, R. A. 1997, “Toward an Understanding of the Behavioral Intention to Use an Information System”, Decision Sciences, Vol.28, no.2, pp. 357–389.
  • Karahanna, E., Agarwal, R., & Angst, C. M. 2006, “RECONCEPTUALIZING COMPATIBILITY BELIEFS IN TECHNOLOGY ACCEPTANCE RESEARCH”, MIS Quarterly, Vol.30, no.4, pp. 781–804.
  • Keil, M., Tan, B. C. Y., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. 2000, A cross-cultural study on escalation of commitment behaviour in software projects. MIS Quarterly, No.24, pp. 299–325.
  • Kim, C., Mirusmonov, M., & Lee, I. 2010, “”An empirical examination of factors influencing the intention to use mobile payment”, Computers in Human Behavior, Vol.26, no.3, pp. 310–322.
  • Kim, J., & Lee, J. E. R. 2011, “The Facebook Paths to Happiness: Effects of the Number of Facebook Friends and Self-Presentation on Subjective Well-Being”, Cyberpsychology Behavior and Social Networking, Vol.14, no.6, pp. 359–364.
  • Kim, Y. J., & Han, J. 2014, “Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization”, Computers in Human Behavior, No.33, pp. 256–269.
  • Leng, G., & Lada, S. 2011, “An Exploration of Social Networking Sites (SNS) Adoption in Malaysia Using Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB) And Intrinsic Motivation”, Journal of Internet Banking & Commerce, Vol.16 No.2, pp. 1–27.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. 2014, Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, No.35, pp. 464–478.
  • Linck, K., Pousttchi, K., & Wiedemann, D. G. 2007, “Security Issues in Mobile Payment from the Customer Viewpoint”, Proceedings of the 14th European Conference on Information Systems (ECIS 2006), pp. 1–12.
  • Lu, J., Yao, J. E., & Yu, C. S. 2005, “Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology”, The Journal of Strategic Information Systems, Vol.14, no.3, pp. 245–268.
  • 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, Vol.48, no.8, pp. 393–403.
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ADOPTION OF MOBILE PAYMENT SYSTEMS: A STUDY ON MOBILE WALLETS

Yıl 2016, Cilt: 5 Sayı: 1, 73 - 92, 30.03.2016
https://doi.org/10.17261/Pressacademia.2016116555

Öz

This study aims to understand the factors contributing to
consumer attitude development towards and intention to use mobile payment
systems. One of major mobile network operators’ mobile wallet application in
Turkey was used as a proxy of the mobile payment systems. Survey methodology is
used to collect data from subscribers by stratified random sampling among two
distinct groups (users and nonusers). A total of 1395 questionnaires were collected
from subscribers and analyzed using partial least squares structural equation
modeling. The findings highlight the importance of ease of use and usefulness
in attitude development. On the other hand, security concerns were found to
have low level of effects on attitudes and use intentions. Effect of social
influence was found to be insignificant among the users. There were differences
between users’ and non-users’ perceptions and beliefs indicated by significant
differences in the majority of the constructs employed in the study. 

Kaynakça

  • Agarwal, R., & Prasad, J. 1998, “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology”, Information Systems Research, Vol.9, no.2, pp. 204–215.
  • Ajzen, I. 1991, “The theory of planned behavior.” Organizational behavior and human decision processes, No.50, pp. 179–211.
  • Ajzen, I., & Fishbein, M. 1980, Understanding Attitudes and Predicting Social Behaviour, Englewood Cliffs, NJ: Prentice Hall PTR.
  • Anderson, J., & Gerbing, D. 1988, “Structural equation modeling in practice: A review and recommended two-step approach.” Psychological Bulletin, Vol.103, no.3, pp. 411–423.
  • App Annie & MEF. 2014, “Emerging Markets and Growth in the Global App Economy”. http://blog.appannie.com/app-annie-mef-globalapp-economy-q3-2014/
  • Arvidsson, N. 2013, “Consumer attitudes on mobile payment services – results from a proof of concept test.” International Journal of Bank Marketing, Vol.32, no.2, pp. 150–170.
  • Bhattacherjee, A. 2001, “An empirical analysis of the antecedents of electronic commerce service continuance.” Decision Support Systems, Vol.32, no.2, pp. 201–214.
  • Blake, B. F., Neuendorf, K. a., & Valdiserri, C. M. 2003, “Innovativeness and variety of Internet shopping”. Internet Research, Vol.13, no.3, pp. 156–169.
  • Burdge, B. 2014, “New Research Shows Mobile Dominates Desktops”. MovableInk. Retrieved from http://blog.movableink.com/newresearch-shows-mobile-dominates-desktops-with-65-of-total-email-opens-in-q4-2013/
  • Capgemini, & RBS. 2015, World Payments Report 2015. https://www.worldpaymentsreport.com
  • Carmines, E. G., & Zeller, R. A. 1979, Reliability and Validity Assessment. Beverly Hills, California: Sage Publications.
  • Carrington, D. 2014, US Mobile Payments Will Reach $142B by 2019. Forrester. Retrieved November 25, 2015, from http://blogs.forrester.com/denee_carrington/14-11-17-us_mobile_payments_will_reach_142b_by_2019
  • Chang, C.-C., & Chin, Y.-C. 2011, “Predicting the Usage Intention of Social Network Games: An Intrinsic-Extrinsic Motivation Theory Perspective”, International Journal of Online Marketing, Vol.1, no.3, pp. 29–37.
  • Chang, M. K., Cheung, W., & Lai, V. S. 2005, “Literature derived reference models for the adoption of online shopping.” Information and Management, Vol.42, no.4, pp. 543–559.
  • Chen, L., & Nath, R. 2008, “Determinants of mobile payments: an empirical analysis”, Journal of International Technology and Information, Vol.17, no.1, pp. 9 – 20.
  • ComScore. 2014, “The US Mobile App Report.” http://www.slideshare.net/LudovicP/comscore-us-mobile-app-report-june-2014datatheusmobileappreport
  • Criteo. 2015, “State of Mobile Commerce.” Http://www.criteo.com/resources/mobile-commerce-report/
  • Crowe, M., & Tavilla, E. 2012, ”Mobile Phone Technology: “Smarter” Than We Thought How Technology Platforms are Securing Mobile Payments in the U.S.”, Boston, USA. http://www.bostonfed.org/bankinfo/payment-strategies/index.htm
  • Dahlberg, T., & Mallat, N. 2002, “Mobile Payment Service Development - Managerial Implications of Consumer Value Perceptions”, Proceedings of the Tenth European Conference on Information Systems, pp. 649–657.
  • Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. 2008, “Past, present and future of mobile payments research: A literature review”, Journal of Commerce Research and Applications, 7, pp. 165–181.
  • Dash, M., Bhusan, P. B., & Samal, S. 2014, “Determinants of Customers’ Adoption of Mobile Banking: An Empirical Study by Integrating Diffusion of Innovation with Attitude”, Journal of Internet Banking and Commerce, Vol.19, no.3, pp. 1–21.
  • Davis, F. D. 1989, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”. MIS Quarterly, Vol.13, no.3, pp. 319–340.
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1992, “Extrinsic and intrinsic motivation to use computers in the workplace”. Journal of Applied Social Psychology, Vol.22, no.14, p. 1111.
  • Davison, A. C., & Hinkley, D. V. 1997, “Bootstrap Methods and Their Application”. Cambridge, UK: Cambridge University Press.
  • Deci, E. L., Vallerand, R. J., Pelletier, L. G., & Ryan, R. M. 1991, “Motivation and Education: The Self-Determination Perspective”. Educational Psychologist, Vol.26, no.3-4, pp. 325–346.
  • Fishbein, M., & Ajzen, I. 1975, Belief, attitude, intention, and behavior: an introduction to theory and research Reading: Addison-Wesley.
  • Fornell, C., & Larcker, D. F. 1981, “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, Vol.18, no.1, pp. 39–50.
  • Gefen, D., Karahanna, E., & Straub, D. 2003, “Trust and TAM in online shopping: an integrated model” MIS Quarterly, Vol.27, no.1, pp. 51– 90.
  • Geisser, S. 1974, “A predictive approach to the random effect model”, Biometrika, No.61, pp. 101–107.
  • Gross, M. B., Hogarth, J. M., & Schmeiser, M. D. 2012, “Use of Financial Services by the Unbanked and Underbanked and the Potential for Mobile Financial Services Adoption”, Federal Reserve Bulletin, No.98, pp. 1–20.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. 2011, “PLS-SEM: Indeed a Silver Bullet”, The Journal of Marketing Theory and Practice, Vol.19, no.2, pp. 139–152.
  • Hair, J. F., Tomas, G., Hult, M., Ringle, C. M., & Sarstedt, M. 2013, A Primer on Partial Least Squares Structural Equation Modeling (PLSSEM). Thousand Oaks: Sage Publications, Inc.
  • Van der Heijden, H. 2004, “User acceptance of hedonic information systems”, MIS Quarterly, Vol.28, no.4, pp. 695–704.
  • Henseler, J., Ringle, C. M., & Sinkovics, R. R. 2009, “The use of partial least squares path modeling in international marketing”, Advances in international marketing, No.20, pp. 277–320.
  • Hong, S., Thong, J. Y. L., & Tam, K. Y. 2006, “Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet”, Decision Support Systems, Vol.42, no.3, pp. 1819–1834.
  • Hu, T., Poston, R., & Kettinger, W. 2011, “Nonadopters of online social network services: Is it easy to have fun yet?”, Communications of the Association of IS, No.29, pp. 441–458.
  • IAB Turkey. 2015, “The Locomotive of Page View: Mobile”, IAB Bulletin. Retrieved October 10, 2015, from http://www.iabturkiye.org/sites/default/files/infografik_haziran_ing.pdf.
  • IBM Commerce. 2015, “Black Friday Report 2015”, Somers NY. http://www-01.ibm.com/software/marketing-solutions/benchmarkreports/black-friday-2013.html
  • ICTA. 2015, “ELECTRONIC COMMUNICATIONS MARKET IN TURKEY”. Ankara. http://www.btk.gov.tr/en-US/Pages/Market-Data
  • Jackson, C. M., Chow, S., & Leitch, R. A. 1997, “Toward an Understanding of the Behavioral Intention to Use an Information System”, Decision Sciences, Vol.28, no.2, pp. 357–389.
  • Karahanna, E., Agarwal, R., & Angst, C. M. 2006, “RECONCEPTUALIZING COMPATIBILITY BELIEFS IN TECHNOLOGY ACCEPTANCE RESEARCH”, MIS Quarterly, Vol.30, no.4, pp. 781–804.
  • Keil, M., Tan, B. C. Y., Wei, K. K., Saarinen, T., Tuunainen, V., & Wassenaar, A. 2000, A cross-cultural study on escalation of commitment behaviour in software projects. MIS Quarterly, No.24, pp. 299–325.
  • Kim, C., Mirusmonov, M., & Lee, I. 2010, “”An empirical examination of factors influencing the intention to use mobile payment”, Computers in Human Behavior, Vol.26, no.3, pp. 310–322.
  • Kim, J., & Lee, J. E. R. 2011, “The Facebook Paths to Happiness: Effects of the Number of Facebook Friends and Self-Presentation on Subjective Well-Being”, Cyberpsychology Behavior and Social Networking, Vol.14, no.6, pp. 359–364.
  • Kim, Y. J., & Han, J. 2014, “Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization”, Computers in Human Behavior, No.33, pp. 256–269.
  • Leng, G., & Lada, S. 2011, “An Exploration of Social Networking Sites (SNS) Adoption in Malaysia Using Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB) And Intrinsic Motivation”, Journal of Internet Banking & Commerce, Vol.16 No.2, pp. 1–27.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. 2014, Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, No.35, pp. 464–478.
  • Linck, K., Pousttchi, K., & Wiedemann, D. G. 2007, “Security Issues in Mobile Payment from the Customer Viewpoint”, Proceedings of the 14th European Conference on Information Systems (ECIS 2006), pp. 1–12.
  • Lu, J., Yao, J. E., & Yu, C. S. 2005, “Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology”, The Journal of Strategic Information Systems, Vol.14, no.3, pp. 245–268.
  • 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, Vol.48, no.8, pp. 393–403.
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Toplam 86 adet kaynakça vardır.

Ayrıntılar

Bölüm Articles
Yazarlar

Gokhan Aydin

Sebnem Burnaz

Yayımlanma Tarihi 30 Mart 2016
Yayımlandığı Sayı Yıl 2016 Cilt: 5 Sayı: 1

Kaynak Göster

APA Aydin, G., & Burnaz, S. (2016). ADOPTION OF MOBILE PAYMENT SYSTEMS: A STUDY ON MOBILE WALLETS. Journal of Business Economics and Finance, 5(1), 73-92. https://doi.org/10.17261/Pressacademia.2016116555

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