Testing Robustness of UTAUT Model: An Invariance Analysis
Pages 81 - 97
Abstract
In order to compare a research model accurately across different conditions, the model's measures must be invariant across them. In this study, the invariance of the UTAUT model's measures was tested along three dimensions: country, technology, and gender. Data were collected from two countries Korea and the U.S. for two technologies Internet banking and MP3 players. The results show that although the UTAUT model is robust overall across different conditions, possible differences due to measurement non-invariance should be taken into account. The paper discusses implications of the study results and makes recommendations for future research.
References
[1]
Al-Gahtani, S. S., Hubona, G. S., & Wang, J. 2007. Information technology IT in Saudi Arabia: Culture and the acceptance and use of IT. Information & Management, 448, 681-691.
[2]
Al Qeisi, K. I., & Al-Abdallah, G. M. 2014. Website design and usage behaviour: An application of the UTAUT model for Internet banking in UK. International Journal of Marketing Studies, 61, 75-89.
[3]
Anderson, J. E., Schwager, P. H., & Kerns, R. L. 2006. The drivers for acceptance of tablet PCs by faculty in a college of business. Journal of Information Systems Education, 174, 429-440.
[4]
Bandyopadhyay, K., & Fraccastoro, K. A. 2007. The effect of culture on user acceptance of information technology. Communications of the AIS, 19, 522-543.
[5]
Billiet, J. 2002. Cross-cultural equivalence with structural equation modeling. In Mohler, P. P. Ed., Cross-Cultural Survey Methods pp. 247-264. New Jersey: John Wiley & Sons Inc.
[6]
Bollen, K. A. 1989. Structural equations with latent variables. New York: Wiley.
[7]
Bouwman, H., & va de Wijngaert, L. 2009. Coppers context, and conjoints: A reassessment of TAM. Journal of Information Technology, 242, 186-201.
[8]
Chau, P. Y. K. 2001. Influence of computer attitude and self-efficacy on IT usage behavior. Journal of End User Computing, 131, 26-33.
[9]
Davis, F. D. 1989. Perceived usefulness, perceived ease of use and user acceptance of information technology. Management Information Systems Quarterly, 133, 319-340.
[10]
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 358, 982-1003.
[11]
Delgado-Ballester, E. 2004. Applicability of a brand trust scale across product categories: A multigroup invariance analysis. European Journal of Marketing, 385/6, 573-592.
[12]
Deng, X., Doll, W. J., Al-Gahtani, S. S., Larsen, T. J., Pearson, J. M., & Raghunathan, T. S. 2008. A cross-cultural analysis of the end-user computing satisfaction instrument: A multi-group invariance analysis. Information & Management, 454, 211-220.
[13]
Deng, X., Doll, W. J., Hendrickson, A. R., & Scazzero, J. A. 2005. A multi-group analysis of structural invariance: An illustration using the technology acceptance model. Information & Management, 425, 745-759.
[14]
Doll, W. J., Deng, X., Raghunathan, T. S., Torkzadeh, G., & Xia, W. 2004. The meaning and measurement of user satisfaction: A multigroup invariance analysis of the end-user computing satisfaction instrument. Journal of Management Information Systems, 211, 227-262.
[15]
Doll, W. J., Hendrickson, A., & Deng, X. 1998. Using Daviss perceived usefulness and ease-of-use instruments for decision making: A confirmatory and multigroup invariance analysis. Decision Sciences, 294, 839-869.
[16]
Eckhardt, A., Laumer, S., & Weitzel, T. 2009. Who influences whom? Analyzing workplace referents social influence on IT adoption and non-adoption . Journal of Information Technology, 241, 11-24.
[17]
Escobar-Rodriguez, T., & Carvajal-Trujillo, E. 2014. Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology UTAUT model. Tourism Management, 43, 70-88.
[18]
Foon, Y. S., & Fah, B. C. Y. 2011. Internet banking adoption in Kuala Lumpur: An application of UTAUT model. International Journal of Business and Management, 64, 161-167.
[19]
Garfield, M. J. 2005. Acceptance of ubiquitous computing. Information Systems Management, 224, 24-31.
[20]
Harris, M., & Schaubroeck, J. 1990. Confirmatory modeling in organizational behavior/human resource management: Issues and applications. Journal of Management, 162, 337-360.
[21]
Hayduk, L. A. 1989. Structural equation modeling - essentials and advances. Baltimore, London: The Johns Hopkins University Press.
[22]
Jöreskog, K. G., & Söbom, D. 1993. LISREL8 User's Reference Guide. Chicago: Science Software.
[23]
Klenke, K. 1992. Construct measurement in management information systems: A review and critique of user satisfaction and user involvement instruments. INFOR, 344, 325-348.
[24]
Lai, V. S., & Li, H. 2005. Technology acceptance model for internet banking: An invariance analysis. Information & Management, 422, 373-386.
[25]
Lee, I., Choi, B., Kim, J., & Hong, S.-J. 2007. Culture-technology fit: Effects of cultural characteristics on the post-adoption beliefs of mobile Internet users. International Journal of Electronic Commerce, 114, 11-51.
[26]
Lewis, B. R., Templeton, G. F., & Byrd, T. A. 2005. A methodology for construct development in MIS research. European Journal of Information Systems, 144, 388-400.
[27]
Li, J. P., & Kishore, R. 2006. How robust is the UTAUT instruments? A multigroup invariance analysis in the context of acceptance and use of online community weblog systems. Proceedings of the ACM SIGMIS Conference on Computer Personnel Research CPR. Pomona, California pp. 183-196.
[28]
Lin, C.-P., & Anol, B. 2008. Learning online social support: An investigation of network information technology based on UTAUT. Cyberpsychology & Behavior, 113, 268-272. 18537495.
[29]
Lin, C.-P., & Bhattacherjee, A. 2008. Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 131, 85-108.
[30]
Loiacono, E. T., Watson, R. T., & Goodhue, D. L. 2007. WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 113, 51-87.
[31]
Luarn, P., & Lin, H. H. 2005. Toward and understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 216, 873-891.
[32]
Marchewka, J. T., Liu, C., & Kostiwa, K. 2007. An application of the UTAUT model for understanding student perceptions using course management software. Communications of the IIMA, 72, 93-104.
[33]
McCoy, S., Galletta, D. F., & King, W. R. 2007. Applying TAM across cultures: The need for caution. European Journal of Information Systems, 161, 81-90.
[34]
McKenna, B., Tuunanen, T., & Gardner, L. 2013. Consumers adoption of information services. Information & Management, 505, 248-257.
[35]
Moon, J., & Kim, Y. 2001. Extending the TAM for a World-Wide-Web context. Information & Management, 384, 217-230.
[36]
Murray, J. Y., Gao, G. Y., Kotabe, M., & Zhou, N. 2007. Assessing measurement invariance of export market orientation: A study of Chinese and Non-Chinese firms in China. Journal of International Marketing, 154, 41-62.
[37]
Oshlyansky, L., Cairns, P., & Thimbleby, H. 2007. Validating the Unified Theory of Acceptance and Use of Technology UTAUT tool cross-culturally. In D. Ramduny-Ellis, & D. Rachovides, Eds., The 21st BCS HCI Group Conference, Lancaster University, UK.
[38]
Park, J., Yang, S., & Lehto, X. 2007. Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 83, 196-206.
[39]
Qureshi, I., Fang, Y., Ramsey, E., McCole, P., Ibbotson, P., & Compeau, D. 2009. Understanding online customer repurchasing intention and the mediating role of trust: An empirical investigation in two developed countries. European Journal of Information Systems, 183, 205-222.
[40]
Robinson, L.Jr. 2006. Moving beyond adoption: Exploring the determinants of student intention to use technology. Marketing Education Review, 162, 79-88.
[41]
Rogers, E. M. 1995. Diffusion of Innovations 4th ed. New York: The Free Press.
[42]
Schwarz, A., Chin, W. W., Hirschheim, R., & Schwarz, C. 2014. Toward a process-based view of information technology acceptance . Journal of Information Technology, 291, 73-96.
[43]
Steenkamp, J.-B. E. M., & Baumgartner, H. 1998. Assessing measurement invariance in cross-national consumer-research. The Journal of Consumer Research, 251, 78-90.
[44]
Stein, J. A., Lee, J. W., & Jones, P. S. 2006. Assessing cross-cultural differences through use of multiple-group invariance analyses. Journal of Personality Assessment, 873, 249-258. 17134332.
[45]
Steinmetz, H., Schmidt, P., Tina-Booh, A., Wieczorek, S., & Schwartz, S. H. 2009. Testing measurement invariance using multigroup CFA: Differences between educational groups in human values measurement. Quality & Quantity, 434, 599-616.
[46]
Tai, Y.-M., & Ku, Y.-C. 2013. Will stock investors use mobile stock training? A benefit-risk assessment based on a modified UTAUT model. Journal of Electronic Commerce Research, 141, 67-84.
[47]
Taylor, S., & Todd, P. 1995. Assessing IT usage: The Role of Prior Experience. Management Information Systems Quarterly, 194, 561-570.
[48]
Teo, T., Lee, C. B., Chai, S. S., & Wong, S. L. 2009. Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model TAM. Computers & Education, 533, 1000-1009.
[49]
Thompson, R. L., Higgins, C. A., & Howell, J. M. 1991. Personal Computing: Toward a Conceptual Model of Utilization. Management Information Systems Quarterly, 151, 125-142.
[50]
Vandenberg, R. J., & Lance, C. E. 2000. A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 310, 4-69.
[51]
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. 2003. User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 273, 425-478.
[52]
Venkatesh, V., Thong, J. Y., & Xu, X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. Management Information Systems Quarterly, 361, 157-178.
[53]
Venkatesh, V., & Zhang, X. 2010. Unified theory of acceptance and use of technology: U.S. vs. China. Journal of Global Information Technology Management, 131, 5-27.
[54]
Wang, Y.-S., & Shih, Y.-W. 2009. Why do people use information kiosks?: A validation of the Unified Theory of Acceptance and Use of Technology. Government Information Quarterly, 261, 158-165.
[55]
Workman, M. 2014. New media and the changing face of information technology use: The importance of task pursuit, social influence, and experience. Computers in Human Behavior, 31, 111-117.
[56]
Wu, J., & Wang, S.-C. 2005. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management, 425, 719-729.
[57]
Yu, C.-S. 2012. Factors affecting individuals to adopt mobile banking: Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research, 132, 104-121.
[58]
Zhang, N., Guo, X., Chen, G., & Chau, P. Y. K. 2008. Impact of perceived fit on e-government user evaluation: A study with a Chinese cultural context. Journal of Global Information Management, 171, 49-69.
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Published: 01 July 2017
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