ACCEPTANCE AND USAGE OF MOBILE PHONE FOR ACCESSING TO INFORMATION OF UNIVERSITY USING PLS-SEM CASE STUDY OF FACULTY OF MANAGEMENT SCIENCE OF VALAYAALONGKORN RAJABHAT UNIVERSITY
Keywords:
Information Access, Usage Mobile Phone, Mobile Service Acceptant ModelAbstract
This study is study the accept and usage mobile phone to access information of university using mobile service acceptant model by Gao et al., (2008). The samples were selected through 346 students of faculty of management science, Valayaalongkorn Rajabhat University under patronage Pathum Thani province using PLS-SEM. The result show that context are significantly positively related to perceive usefulness and perceive ease of use. Furthermore, trust, personal initiative and characteristics and perceived ease of use are significantly positively related to intention to use. Our study proposed that future study could be study on direct effect of context to intention to use.
References
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Blechar, J., Constantiou, I., & Damsgaard, J. (2006). Exploring the influence of reference situations and reference pricing on mobile service user behaviour. European Journal of Information Systems, 15, 285-291.
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Chandra, S., Srivastava, S., & Theng, Y. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: an empirical analysis. Communications of the Association for Information Systems, 27, 561-588.
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Cheon, J., Lee, S., Crooks, S., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59, 1054-1064.
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Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Demirbilek, M. (2010). Investigating attitudes of adult educators towards educational mobile media and games in eight European countries. Journal of Information Technology Education, 9, 235-247.
Dey, A. K. (2001). Understanding and using context. Personal Ubiquitous Computing, 5(1), 4-7.
Doll, W. J., & Torkzadeh, G. (1998) Developing a multidimensional measure of system-use in an organizational context. Information & Management, 33, 171-185.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and Behavior: An introduction to theory and research. Reading, Mass.: Addison-Wesley.
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Frese, M., & Fay, D. (2001). Personal initiative (PI): an active performance concept for work in the 21st century. In B. M. Staw & R. M. Sutton (Eds.). Research in Organizational Behavior (Vol. 23, pp. 133-187). Amsterdam: Elsevier Science.
Gao, S. (2011). High Level Modeling And Evaluation Of Multi-Channel Services. (Doctoral Dissertation, Norwegian University Department of Computer and Information Science, Norway.
Gao, S., Ganapathy, R., Gopalakrishnan, V., & Gopalakrishnan, S. (2012). An exploratory study on the adoption of mobile services through social media. International Conference on Systems and Informatics (ICSAI), 2588-2592.
Gao, S., Krogstie, J., & Gransæther, P. A. (2008). Mobile services acceptance model. In International Conference on Convergence and Hybrid Information Technology 2008 (pp. 446-453). Daejeon: South Korea. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4622866
Gao, S., Krogstie, J., & Siau, K. (2011). Developing an instrument to measure the adoption of mobile services. Mobile Information Systems, 7, 45-67.
Greenberg, S. (2001). Context as a dynamic construct. Human-Computer Interaction, 16, 257-268.
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Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly, 21(3), 279-302.
Irby, T., & Strong, R. (2015). A synthesis of mobile learning research implications: agricultural faculty and student acceptance of mobile learning in academia. NACTA, 59(1), 10-17.
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Laforet S, & Li, X. (2005). Consumers’ attitudes towards online and mobile banking in China. International Journal of Bank Marketing, 23(5), 362-380.
Lee, L., Petter, S., Fayard, D., & Robinson, S. (2011). On the use of partial least squares path modeling in accounting research. International Journal of Accounting Information Systems, 12(4), 305-328.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? a critical review of the technology acceptance model. Information & Management, 40, 191-204.
Liu, Y., Li, H., & Carlsson, C. (2010). Factors driving the adoption of m-learning: an empirical study. Computers & Education, 55(3), 1211-1219.
Mallat, N., Rossi, M., Tuunainen, V. K., & Oorni, A. (2009) The impact of use context on mobile service acceptance: the case of mobile ticketing. Information & Management, 46(3), 190-195.
Morgan, R. M. & Hunt, S. D. (1994, July). The Commitment-trust theory of relationship marketing, Journal of Marketing, 58, 20-38.
Mou, J. & Cohen, J. F. (2014). A Longitudinal study of trust and perceived usefulness in consumer acceptance of an eservice: the case of online health service. In PACIS 2014 Proceedings. Retrieved from http://aisel.aisnet.org/pacis2014/258
Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Roger, E. M. (1995). Diffusion of Innovations (4th ed). New York: Free Press.
Sarker, S., & Wells, D. (2003). Understanding mobile handheld device use and adoption. Communications of the ACM, 46(12), 35-40.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
Seif, M. H., Sarmadi, M. R., Ebrahimzadeh, I., & Zare, H. (2012). A model for predicting intention to use e-learning based on epistemological beliefs, Life Science Journal, 9, 926-929.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: model development and test. Computers & Education, 57, 2432-2440.
Thornton, P., & Houser, C. (2005). Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, 21(3), 217-228.
Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
Wang, W., & Li, H. (2012). Factors influencing mobile services adoption: A brand-equity perspective. Internet Research, 22(2), 142-179.
Yousafzai, S., Pallister, J., & Foxall, G. (2005). Strategies for building and communicating trust in electronic banking: a field experiment. Psychology & Marketing, 22, 181-201.
Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290-300.
Barnes, S. (2002). Understanding mobile handheld device use and adoption. International Journal of Information Management, 22(2), 91-108.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation confirmation modle. MIS Quarterly, 25(3), 351-370.
Blechar, J., Constantiou, I., & Damsgaard, J. (2006). Exploring the influence of reference situations and reference pricing on mobile service user behaviour. European Journal of Information Systems, 15, 285-291.
Bogart, W., & Wichadee, S. (2015). Exploring students’ intention to use LINE for academic purposes based on technology acceptance model. International Review of Research in Open and Distributed Learning, 16(3), 65-85.
Chandra, S., Srivastava, S., & Theng, Y. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: an empirical analysis. Communications of the Association for Information Systems, 27, 561-588.
Chau, P. (1996). An empirical investigation on factors affecting the acceptance of CASE by systems developers. Information & Management, 30, 269-280.
Cheon, J., Lee, S., Crooks, S., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59, 1054-1064.
Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New End User Information Systems: Theory and Results. (Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA).
Davis, F. (1989). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Demirbilek, M. (2010). Investigating attitudes of adult educators towards educational mobile media and games in eight European countries. Journal of Information Technology Education, 9, 235-247.
Dey, A. K. (2001). Understanding and using context. Personal Ubiquitous Computing, 5(1), 4-7.
Doll, W. J., & Torkzadeh, G. (1998) Developing a multidimensional measure of system-use in an organizational context. Information & Management, 33, 171-185.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and Behavior: An introduction to theory and research. Reading, Mass.: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Frese, M., & Fay, D. (2001). Personal initiative (PI): an active performance concept for work in the 21st century. In B. M. Staw & R. M. Sutton (Eds.). Research in Organizational Behavior (Vol. 23, pp. 133-187). Amsterdam: Elsevier Science.
Gao, S. (2011). High Level Modeling And Evaluation Of Multi-Channel Services. (Doctoral Dissertation, Norwegian University Department of Computer and Information Science, Norway.
Gao, S., Ganapathy, R., Gopalakrishnan, V., & Gopalakrishnan, S. (2012). An exploratory study on the adoption of mobile services through social media. International Conference on Systems and Informatics (ICSAI), 2588-2592.
Gao, S., Krogstie, J., & Gransæther, P. A. (2008). Mobile services acceptance model. In International Conference on Convergence and Hybrid Information Technology 2008 (pp. 446-453). Daejeon: South Korea. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4622866
Gao, S., Krogstie, J., & Siau, K. (2011). Developing an instrument to measure the adoption of mobile services. Mobile Information Systems, 7, 45-67.
Greenberg, S. (2001). Context as a dynamic construct. Human-Computer Interaction, 16, 257-268.
Hair, J. F., Black, B., Babin, B., Anderson, R. E. & Tatham, R. L. (2010). Multivariate data analysis: a global perspective. New Jersey: Pearson Education.
Henseler, J., & Dijkstra, T. K. (2015). ADANCO 2.0. Kleve: Composite Modeling. Retrieved from http://www.compositemodeling.com
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
Igbaria, M., Zinatelli, N., Cragg, P., & Cavaye, A. (1997). Personal computing acceptance factors in small firms: a structural equation model. MIS Quarterly, 21(3), 279-302.
Irby, T., & Strong, R. (2015). A synthesis of mobile learning research implications: agricultural faculty and student acceptance of mobile learning in academia. NACTA, 59(1), 10-17.
Koç, T., Turan, A. H. & Okursoy, A. (2016). Acceptance and usage of a mobile information system in higher education: An empirical study with structural equation modeling. The International Journal of Management Education. 14, 286-300.
Laforet S, & Li, X. (2005). Consumers’ attitudes towards online and mobile banking in China. International Journal of Bank Marketing, 23(5), 362-380.
Lee, L., Petter, S., Fayard, D., & Robinson, S. (2011). On the use of partial least squares path modeling in accounting research. International Journal of Accounting Information Systems, 12(4), 305-328.
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? a critical review of the technology acceptance model. Information & Management, 40, 191-204.
Liu, Y., Li, H., & Carlsson, C. (2010). Factors driving the adoption of m-learning: an empirical study. Computers & Education, 55(3), 1211-1219.
Mallat, N., Rossi, M., Tuunainen, V. K., & Oorni, A. (2009) The impact of use context on mobile service acceptance: the case of mobile ticketing. Information & Management, 46(3), 190-195.
Morgan, R. M. & Hunt, S. D. (1994, July). The Commitment-trust theory of relationship marketing, Journal of Marketing, 58, 20-38.
Mou, J. & Cohen, J. F. (2014). A Longitudinal study of trust and perceived usefulness in consumer acceptance of an eservice: the case of online health service. In PACIS 2014 Proceedings. Retrieved from http://aisel.aisnet.org/pacis2014/258
Pavlou, P. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-134.
Roger, E. M. (1995). Diffusion of Innovations (4th ed). New York: Free Press.
Sarker, S., & Wells, D. (2003). Understanding mobile handheld device use and adoption. Communications of the ACM, 46(12), 35-40.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
Seif, M. H., Sarmadi, M. R., Ebrahimzadeh, I., & Zare, H. (2012). A model for predicting intention to use e-learning based on epistemological beliefs, Life Science Journal, 9, 926-929.
Teo, T. (2011). Factors influencing teachers’ intention to use technology: model development and test. Computers & Education, 57, 2432-2440.
Thornton, P., & Houser, C. (2005). Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, 21(3), 217-228.
Venkatesh, V., & Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186-204.
Wang, W., & Li, H. (2012). Factors influencing mobile services adoption: A brand-equity perspective. Internet Research, 22(2), 142-179.
Yousafzai, S., Pallister, J., & Foxall, G. (2005). Strategies for building and communicating trust in electronic banking: a field experiment. Psychology & Marketing, 22, 181-201.
Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290-300.
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Published
30.06.2017
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จันทะเสนา ฉ.; มูลสวัสดิ์ ก.; หมายถมกลาง ส.; จันทโชติ อ. ACCEPTANCE AND USAGE OF MOBILE PHONE FOR ACCESSING TO INFORMATION OF UNIVERSITY USING PLS-SEM CASE STUDY OF FACULTY OF MANAGEMENT SCIENCE OF VALAYAALONGKORN RAJABHAT UNIVERSITY. RMUTT Global Business and Economics Review, Pathum Thani, Thailand, v. 12, n. 1, p. 161–176, 2017. Disponível em: https://so03.tci-thaijo.org/index.php/RMUTT-Gber/article/view/241943. Acesso em: 6 may. 2024.
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