How to cite this paper
Granita, W., Surip, N., Harwani, Y & Astini, R. (2021). The cyclic model of use diffusion-adoption on the decision to select mobile network operator.Management Science Letters , 11(2), 401-410.
Refrences
Ahmad, N. (2012). Utilitarian and hedonic values of mobile services: A preliminary analysis from the users’ perspective. Business & Accounting Review, 9, 69-83.
Antonopoulos, A., Kartsakli, E., Perillo, C., & Verikoukis, C. (2017). Shedding light on the Internet: Stakeholders and net-work neutrality. IEEE Communications Magazine, 55(7), 216-223.
Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of M-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348–361.
Bharati, P., & Chaudhury, A. (2006). Product customization on the web: An empirical study of factors impacting choice-board user satisfaction. Information Resources Management Journal, 19(2), 69–81.
Bouwman, H., Bejar, A., & Nikou, S. (2012). Mobile services put in context: A Q-sort analysis. Telematics and Informatics, 29(1), 66–81.
Chakraborty, S., & Sengupta, K. (2014). Structural equation modelling of determinants of customer satisfaction of mobile network providers: Case of Kolkata, India. IIMB Management Review, 26(4), 234–248.
Chang, C. C., Liang, C., Yan, C. F., & Tseng, J. S. (2013). The impact of college students’ intrinsic and extrinsic motivation on continuance intention to use English mobile learning systems. Asia-Pacific Education Researcher, 22(2), 181–192.
Chong, A. Y. L., Chan, F. T. S., & Ooi, K. B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross coun-try empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43.
Davis, F. D. (2013). Information Technology Introduction. 13(3), 319–340.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information System Research, 3(1), 60–97.
Dishaw, M. T., & Strong, D. M. (1998). TTF and TAM models. 36, 9–21.
Evans, D. S., Hagiu, A., & Schmalensee, R. (2006). Invisible Engines: How Software Platforms Drive Innovation and Transform Industries. MIT Press.
Feijóo, C., Maghiros, I., Abadie, F., & Gómez-Barroso, J. L. (2009). Exploring a heterogeneous and fragmented digital eco-system: Mobile content. Telematics and Informatics, 26(3), 282–292.
Ferdinand, A. (2002). Stuctural Equation Modelling dalam Penelitian Managemen: Aplikasi Model-model Rumit dalam Penelitian Thesis dan Disertasi. Semarang (ID), Badan Penerbit Universitas Diponegoro.
Fuentelsaz, L., Maícas, J. P., & Polo, Y. (2008). The evolution of mobile communications in Europe: The transition from the second to the third generation. Telecommunications Policy, 32(6), 436–449.
Gardial, S. F., Clemons, D. S., Woodruff, R. B., Schumann, D. W., & Burns, M. J. (1994). Comparing Consumers ’ Recall of Prepurchase and Postpurchase Product Evaluation Experiences. Journal of Consumer Research, 20(March 1994), 548–560.
Gebauer, J., Shaw, M. J., Gribbins, M. L., Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2005). Towards a Specific Theory of Task − Technology Fit for Mobile Information Systems. Journal of Strategic Information System, 25(3), 1–52.
Ghezzi, A., Cortimiglia, M. N., & Frank, A. G. (2015). Strategy and business model design in dynamic telecommunications industries: A study on Italian mobile network operators. Technological Forecasting and Social Change, 90(PA), 346–354.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly: Management Information Systems, 10(3), 278–288.
Gustafsson, E., & Jonsson, A. (2003). Alaways Best Connected. IEEE Wireless Communication, Februari, 49–55.
Jin, B. S., & Ji, Y. G. (2010). Usability risk level evaluation for physical user interface of mobile phone. Computers in Indus-try, 61(4), 350–363.
Ju, S. Y. (2011). Telecom upgraded services adoption model using the use - diffusion theory: The study of China’s tele-communications Market. International Journal of Organizational Innovation, 4(2), 77–122.
Kamel, A., & Watfa, M. K. (2018). Disruption-based innovations for incumbent technology businesses. International Jour-nal of Innovation, Creativity and Change, 4(2), 20–50.
Kim, H., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet : An empirical investigation. Decision Support Systems, 43, 111–126.
Kleijnen, M., de Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the mod-erating role of time consciousness. Journal of Retailing, 83(1), 33–46.
Klopping, I. M., & Mckinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-consumer. Information Technology, Learning, and Performance Journal, 22(1), 35–48.
Kotler, P., & Keller, K.L. (2016). Marketing Management. 16th Edition. New Jersey: Pearson.
Kuo, Y. F., & Chen, P. C. (2006). Selection of mobile value-added services for system operators using fuzzy synthetic eval-uation. Expert Systems with Applications, 30(4), 612–620.
Kwai Fun IP, R., & Wagner, C. (2008). Weblogging: A study of social computing and its impact on organizations. Decision Support Systems, 45(2), 242–250.
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2007). Understanding User Acceptance of Multimedia Messaging Services : An Empirical Study. Wiley InterScience, 58(13), 2066–2077.
Liang, T. P., & Yeh, Y. H. (2011). Effect of use contexts on the continuous use of mobile services: The case of mobile games. Personal and Ubiquitous Computing, 15(2), 187–196.
Lim, H., Widdows, R., & Park, J. (2006). M-loyalty: Winning strategies for mobile carriers. Journal of Consumer Marketing, 23(4), 208–218.
Lin, K. Y. (2016). User communication behavior in mobile communication software. Online Information Review, 40(7), 1071–1089.
Lin, W. (2012). Perceived fit and satisfaction on web learning performance : IS continuance intention and task-technology fit perspectives. Journal of Human Computer Studies, 70(7), 498–507.
Liu, C. T., Guo, Y. M., & Lee, C. H. (2011). The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management, 31(1), 71–79.
Lu, H. P., & Yang, Y. W. (2014). Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Computers in Human Behavior, 34, 323–332.
Malhotra, N. K. (2010). Marketing research: An Applied Orientation. Sixth Edition. Pearson Education.
Negahban, A., & Chung, C. (2014). Computers in human behavior discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75–84.
Nikou, S., & Mezei, J. (2013). Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Pro-cess (AHP). Telecommunications Policy, 37(10), 915–929.
Nysveen, H., & Pedersen, P. E. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Jour-nal of Consumer Marketing, 22(5), 247–256.
Oliver, K. M., Wilkenson, G. L., & Bennett, L. T. (1997). Evaluating the quality of internet information sources. In ED-Media/ED-Telecom.
Oliver, R. L. (1980). A Cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Market-ing Research, 17(4), 460.
Olson, K. E., Brien, M. A. O., Rogers, W. A., & Charness, N. (2011). Diffusion of technology: Frequency of use for younger and older adults. Ageing International, 36, 123–145.
Partala, T., & Saari, T. (2015). Understanding the most influential user experiences in successful and unsuccessful technol-ogy adoptions. Computers in Human Behavior, 53, 381–395.
Ram, S., & Jung, H.-S. (1990). The conceptualization and measurement of need. Journal of the Academy of Marketing Science, 18(1), 67–76.
Reji Kumar, G., & Sudharani Ravindran, D. (2012). An empirical study on service quality perceptions and continuance in-tention in mobile banking context in India. Journal of Internet Banking and Commerce, 17(1).
Ridgeway, N. M., & Price, L. L. (1994). Exploration in Product Usage : A Model of Use Innovativeness : ABSTRACT. Psy-chology & Marketing., 11(1), 69–85.
Sarker, S., & Wells, J. D. (2003). Understanding mobile handheld device use and adoption. COMMUNICATIONS OF THE ACM, 46(12), 6–9.
Sawng, Y.-W., Motohashi, K., & Kim, G. (2013). Comparative analysis of innovative diffusion in the high-tech markets of Japan and South Korea : a use – diffusion model approach. Service Business. Springer., 7, 143–166.
Seddon, P. B., & Freeman, P. (2004). The case for viewing business models as abstractions of strategy. Communications of the Association for Information Systems, 13(March).
Shao, G. (2009). Understanding the appeal of user-generated media: a uses and gratification perspective. Internet Re-search, 19(1), 7–25.
Shaw, H., Ellis, D. A., & Ziegler, F. V. (2018). The technology integration model (TIM). Predicting the continued use of tech-nology. Computers in Human Behavior, 83, 204–214.
Shih, C., & Venkatesh, A. (2004). Beyond Adoption : Development and Application of a Use-Diffusion Model. 68(January), 59–72.
Shin, D. H., & Jin Park, Y. (2017). Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance , 19(1), 77–100.
Siau, K., & Shen, Z. (2003). Mobile communications and mobile services Keng Siau and Zixing Shen. International Journal Mobile Communication, 1, 3–14.
Smura, T., Kivi, A., & Töyli, J. (2009). A framework for analysing the usage of mobile services. Info, 11(4), 53–67.
Srinuan, C., Srinuan, P., & Bohlin, E. (2013). Telematics and Informatics An analysis of mobile Internet access in Thai-land : Implications for bridging the digital divide. Telematics and Informatics, 29(3), 254–262.
Tiwana, A., Konsynski, B., & Bush, A. A. (2010). Platform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Information Systems Research, 21(4), 675–687.
Varshney, U. (2005). Performance evaluation of protocols for group-oriented mobile services. Mobile Networks and Appli-cations, 10(4), 465–474.
Wang, J., Lai, J. Y., & Chang, C. H. (2016). Modeling and analysis for mobile application services: The perspective of mo-bile network operators. Technological Forecasting and Social Change, 111, 146–163.
Wang, K., & Lin, C. L. (2012). The adoption of mobile value-added services: Investigating the influence of IS quality and perceived playfulness. Managing Service Quality, 22(2), 184–208.
Yen, D. C., Wu, C., Cheng, F., & Huang, Y. (2010a). Computers in human behavior determinants of users ’ intention to adopt wireless technology : An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906–915.
Yen, D. C., Wu, C. S., Cheng, F. F., & Huang, Y. W. (2010b). Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906–915.
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735.
Zammuto, R. F., Griffith, T. L., Majchrzak, A., Dougherty, D. J., & Faraj, S. (2007). Information technology and the chang-ing fabric of organization. Organization Science, 18(5), 749–762.
Zhou, T. (2014). Understanding continuance usage intention of mobile internet sites. 329–337.
Zhou, T., Lu, Y., & Wang, B. (2010). Computers in human behavior integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767.
Antonopoulos, A., Kartsakli, E., Perillo, C., & Verikoukis, C. (2017). Shedding light on the Internet: Stakeholders and net-work neutrality. IEEE Communications Magazine, 55(7), 216-223.
Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of M-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348–361.
Bharati, P., & Chaudhury, A. (2006). Product customization on the web: An empirical study of factors impacting choice-board user satisfaction. Information Resources Management Journal, 19(2), 69–81.
Bouwman, H., Bejar, A., & Nikou, S. (2012). Mobile services put in context: A Q-sort analysis. Telematics and Informatics, 29(1), 66–81.
Chakraborty, S., & Sengupta, K. (2014). Structural equation modelling of determinants of customer satisfaction of mobile network providers: Case of Kolkata, India. IIMB Management Review, 26(4), 234–248.
Chang, C. C., Liang, C., Yan, C. F., & Tseng, J. S. (2013). The impact of college students’ intrinsic and extrinsic motivation on continuance intention to use English mobile learning systems. Asia-Pacific Education Researcher, 22(2), 181–192.
Chong, A. Y. L., Chan, F. T. S., & Ooi, K. B. (2012). Predicting consumer decisions to adopt mobile commerce: Cross coun-try empirical examination between China and Malaysia. Decision Support Systems, 53(1), 34–43.
Davis, F. D. (2013). Information Technology Introduction. 13(3), 319–340.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information System Research, 3(1), 60–97.
Dishaw, M. T., & Strong, D. M. (1998). TTF and TAM models. 36, 9–21.
Evans, D. S., Hagiu, A., & Schmalensee, R. (2006). Invisible Engines: How Software Platforms Drive Innovation and Transform Industries. MIT Press.
Feijóo, C., Maghiros, I., Abadie, F., & Gómez-Barroso, J. L. (2009). Exploring a heterogeneous and fragmented digital eco-system: Mobile content. Telematics and Informatics, 26(3), 282–292.
Ferdinand, A. (2002). Stuctural Equation Modelling dalam Penelitian Managemen: Aplikasi Model-model Rumit dalam Penelitian Thesis dan Disertasi. Semarang (ID), Badan Penerbit Universitas Diponegoro.
Fuentelsaz, L., Maícas, J. P., & Polo, Y. (2008). The evolution of mobile communications in Europe: The transition from the second to the third generation. Telecommunications Policy, 32(6), 436–449.
Gardial, S. F., Clemons, D. S., Woodruff, R. B., Schumann, D. W., & Burns, M. J. (1994). Comparing Consumers ’ Recall of Prepurchase and Postpurchase Product Evaluation Experiences. Journal of Consumer Research, 20(March 1994), 548–560.
Gebauer, J., Shaw, M. J., Gribbins, M. L., Gebauer, J., Shaw, M. J., & Gribbins, M. L. (2005). Towards a Specific Theory of Task − Technology Fit for Mobile Information Systems. Journal of Strategic Information System, 25(3), 1–52.
Ghezzi, A., Cortimiglia, M. N., & Frank, A. G. (2015). Strategy and business model design in dynamic telecommunications industries: A study on Italian mobile network operators. Technological Forecasting and Social Change, 90(PA), 346–354.
Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly: Management Information Systems, 10(3), 278–288.
Gustafsson, E., & Jonsson, A. (2003). Alaways Best Connected. IEEE Wireless Communication, Februari, 49–55.
Jin, B. S., & Ji, Y. G. (2010). Usability risk level evaluation for physical user interface of mobile phone. Computers in Indus-try, 61(4), 350–363.
Ju, S. Y. (2011). Telecom upgraded services adoption model using the use - diffusion theory: The study of China’s tele-communications Market. International Journal of Organizational Innovation, 4(2), 77–122.
Kamel, A., & Watfa, M. K. (2018). Disruption-based innovations for incumbent technology businesses. International Jour-nal of Innovation, Creativity and Change, 4(2), 20–50.
Kim, H., Chan, H. C., & Gupta, S. (2007). Value-based Adoption of Mobile Internet : An empirical investigation. Decision Support Systems, 43, 111–126.
Kleijnen, M., de Ruyter, K., & Wetzels, M. (2007). An assessment of value creation in mobile service delivery and the mod-erating role of time consciousness. Journal of Retailing, 83(1), 33–46.
Klopping, I. M., & Mckinney, E. (2004). Extending the technology acceptance model and the task-technology fit model to consumer e-consumer. Information Technology, Learning, and Performance Journal, 22(1), 35–48.
Kotler, P., & Keller, K.L. (2016). Marketing Management. 16th Edition. New Jersey: Pearson.
Kuo, Y. F., & Chen, P. C. (2006). Selection of mobile value-added services for system operators using fuzzy synthetic eval-uation. Expert Systems with Applications, 30(4), 612–620.
Kwai Fun IP, R., & Wagner, C. (2008). Weblogging: A study of social computing and its impact on organizations. Decision Support Systems, 45(2), 242–250.
Lee, M. K. O., Cheung, C. M. K., & Chen, Z. (2007). Understanding User Acceptance of Multimedia Messaging Services : An Empirical Study. Wiley InterScience, 58(13), 2066–2077.
Liang, T. P., & Yeh, Y. H. (2011). Effect of use contexts on the continuous use of mobile services: The case of mobile games. Personal and Ubiquitous Computing, 15(2), 187–196.
Lim, H., Widdows, R., & Park, J. (2006). M-loyalty: Winning strategies for mobile carriers. Journal of Consumer Marketing, 23(4), 208–218.
Lin, K. Y. (2016). User communication behavior in mobile communication software. Online Information Review, 40(7), 1071–1089.
Lin, W. (2012). Perceived fit and satisfaction on web learning performance : IS continuance intention and task-technology fit perspectives. Journal of Human Computer Studies, 70(7), 498–507.
Liu, C. T., Guo, Y. M., & Lee, C. H. (2011). The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management, 31(1), 71–79.
Lu, H. P., & Yang, Y. W. (2014). Toward an understanding of the behavioral intention to use a social networking site: An extension of task-technology fit to social-technology fit. Computers in Human Behavior, 34, 323–332.
Malhotra, N. K. (2010). Marketing research: An Applied Orientation. Sixth Edition. Pearson Education.
Negahban, A., & Chung, C. (2014). Computers in human behavior discovering determinants of users perception of mobile device functionality fit. Computers in Human Behavior, 35, 75–84.
Nikou, S., & Mezei, J. (2013). Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Pro-cess (AHP). Telecommunications Policy, 37(10), 915–929.
Nysveen, H., & Pedersen, P. E. (2005). Explaining intention to use mobile chat services: moderating effects of gender. Jour-nal of Consumer Marketing, 22(5), 247–256.
Oliver, K. M., Wilkenson, G. L., & Bennett, L. T. (1997). Evaluating the quality of internet information sources. In ED-Media/ED-Telecom.
Oliver, R. L. (1980). A Cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Market-ing Research, 17(4), 460.
Olson, K. E., Brien, M. A. O., Rogers, W. A., & Charness, N. (2011). Diffusion of technology: Frequency of use for younger and older adults. Ageing International, 36, 123–145.
Partala, T., & Saari, T. (2015). Understanding the most influential user experiences in successful and unsuccessful technol-ogy adoptions. Computers in Human Behavior, 53, 381–395.
Ram, S., & Jung, H.-S. (1990). The conceptualization and measurement of need. Journal of the Academy of Marketing Science, 18(1), 67–76.
Reji Kumar, G., & Sudharani Ravindran, D. (2012). An empirical study on service quality perceptions and continuance in-tention in mobile banking context in India. Journal of Internet Banking and Commerce, 17(1).
Ridgeway, N. M., & Price, L. L. (1994). Exploration in Product Usage : A Model of Use Innovativeness : ABSTRACT. Psy-chology & Marketing., 11(1), 69–85.
Sarker, S., & Wells, J. D. (2003). Understanding mobile handheld device use and adoption. COMMUNICATIONS OF THE ACM, 46(12), 6–9.
Sawng, Y.-W., Motohashi, K., & Kim, G. (2013). Comparative analysis of innovative diffusion in the high-tech markets of Japan and South Korea : a use – diffusion model approach. Service Business. Springer., 7, 143–166.
Seddon, P. B., & Freeman, P. (2004). The case for viewing business models as abstractions of strategy. Communications of the Association for Information Systems, 13(March).
Shao, G. (2009). Understanding the appeal of user-generated media: a uses and gratification perspective. Internet Re-search, 19(1), 7–25.
Shaw, H., Ellis, D. A., & Ziegler, F. V. (2018). The technology integration model (TIM). Predicting the continued use of tech-nology. Computers in Human Behavior, 83, 204–214.
Shih, C., & Venkatesh, A. (2004). Beyond Adoption : Development and Application of a Use-Diffusion Model. 68(January), 59–72.
Shin, D. H., & Jin Park, Y. (2017). Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance , 19(1), 77–100.
Siau, K., & Shen, Z. (2003). Mobile communications and mobile services Keng Siau and Zixing Shen. International Journal Mobile Communication, 1, 3–14.
Smura, T., Kivi, A., & Töyli, J. (2009). A framework for analysing the usage of mobile services. Info, 11(4), 53–67.
Srinuan, C., Srinuan, P., & Bohlin, E. (2013). Telematics and Informatics An analysis of mobile Internet access in Thai-land : Implications for bridging the digital divide. Telematics and Informatics, 29(3), 254–262.
Tiwana, A., Konsynski, B., & Bush, A. A. (2010). Platform evolution: Coevolution of platform architecture, governance, and environmental dynamics. Information Systems Research, 21(4), 675–687.
Varshney, U. (2005). Performance evaluation of protocols for group-oriented mobile services. Mobile Networks and Appli-cations, 10(4), 465–474.
Wang, J., Lai, J. Y., & Chang, C. H. (2016). Modeling and analysis for mobile application services: The perspective of mo-bile network operators. Technological Forecasting and Social Change, 111, 146–163.
Wang, K., & Lin, C. L. (2012). The adoption of mobile value-added services: Investigating the influence of IS quality and perceived playfulness. Managing Service Quality, 22(2), 184–208.
Yen, D. C., Wu, C., Cheng, F., & Huang, Y. (2010a). Computers in human behavior determinants of users ’ intention to adopt wireless technology : An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906–915.
Yen, D. C., Wu, C. S., Cheng, F. F., & Huang, Y. W. (2010b). Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906–915.
Yoo, Y., Henfridsson, O., & Lyytinen, K. (2010). The new organizing logic of digital innovation: An agenda for information systems research. Information Systems Research, 21(4), 724–735.
Zammuto, R. F., Griffith, T. L., Majchrzak, A., Dougherty, D. J., & Faraj, S. (2007). Information technology and the chang-ing fabric of organization. Organization Science, 18(5), 749–762.
Zhou, T. (2014). Understanding continuance usage intention of mobile internet sites. 329–337.
Zhou, T., Lu, Y., & Wang, B. (2010). Computers in human behavior integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767.