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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 2/2016

01.04.2016

Consumer adoption of RFID-enabled services. Applying an extended UTAUT model

verfasst von: Herbjørn Nysveen, Per Egil Pedersen

Erschienen in: Information Systems Frontiers | Ausgabe 2/2016

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Abstract

In this article, an extended version of the unified theory of acceptance and use of technology (UTAUT) is applied to explore the significance of various antecedents of acceptance of eight versions of a radio frequency identification (RFID) enabled service. The results show significant influences from performance expectancy, effort expectancy and technology anxiety on attitude to use RFID-enabled services, while facilitating conditions and attitude to use both have significant influences on intention to use the services. Looking into potential moderating influences, gender moderates most of the relationships in the model while age and experience with identification technology do not seem to be relevant moderators. Exploring the potential moderating influence of context experience, experience of the service context is found to moderate some of the relationships in the model. Managerial implications point to the importance of developing useful and user-friendly services and of communicating the user friendliness to potential customers to avoid the potential negative influence of technology anxiety. Service development and market communication should be sensitive to gender and context experience.
Vorheriger Artikel Engineering of web services for internet of things applications
Nächster Artikel Service delivery through mobile-government (mGov): Driving factors and cultural impacts

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1
See the special issue of Information Systems Frontiers on RFID technology (No. 12, 2010) for further insight.
 
Literatur
Agarwal, R., & Prasad, J. (1997). the role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557–582.CrossRef
Agarwal, R., & Karahanna, E. (2000). Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage. MIS Quarterly, 24, 665–694.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.CrossRef
Arning, K., & Ziefle, M. (2007). Understanding age differences in PDA acceptance and performance. Computers in Human Behavior, 23, 2904–2927.CrossRef
Astani, M., & Bjorke, J. (2007). radio frequency identification technology and consumer privacy. Issues in Information Systems, 8(2), 341–347.
Atzori, L., Iera, A., & Morabito, G. (2010). The inter!net of things: A survey. Computer Networks, 54(15), 2787–2805.CrossRef
Batra, R., & Ahtola, O. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2(2), 159–170.CrossRef
Berger, C. R., & Calabrese, R. J. (1975). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1, 99–112.CrossRef
Bergeron, F., Rivard, S., & De Serre, L. (1990). Investigating the support role of the information center. MIS Quarterly, 14(3), 247–259.CrossRef
Bozionelos, N. (2001). Computer anxiety: Relationship with computer experience and prevalence. Computers in Human Behavior, 17, 213–224.CrossRef
Broos, A. (2005). Gender and information and communication technologies (ICT) anxiety: Male self-assurance and female hesitation. CyberPsychology and Behavior, 8(1), 21–31.CrossRef
Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of Management Information Systems, 27(2), 9–53.CrossRef
Byrne, B. M. (2010). Structural equations modeling with AMOS: Basic concepts, applications and programming. New York: Routledge.
Carbonell, P., Rodríguez-Escudero, A. I., & Pujari, D. (2009). Customer involvement in new service development: An examination of antecedents and outcomes. Journal of Product Innovation Management, 26, 536–550.CrossRef
Cazier, J. A., Jensen, A. S., & Dave, D. S. (2008). The Impact of consumer perceptions of information privacy and security risks on the adoption of residual RFID technologies. Communications of the Association for Information Systems, 23(14), 235–256.
Cenfetelli, R. T., & Schwartz, A. (2011). Identifying and testing the inhibitors of technology usage intentions. Information Systems Research, 22(4), 808–823.CrossRef
Chang, I.-C., Hwang, H.-G., Hung, W.-F., & Li, Y.-C. (2007). Physicians‘acceptance of pharmacokinetics-based clinical decision support systems. Expert Systems with Applications, 33, 296–303.CrossRef
Chesbrough, H. (2006). Open innovation: A new paradigm for understanding industrial innovation. In H. Chesbrough, W. Vanhaverbeke, & J. West (Eds.), Open innovation. Researching a new paradigm. New York: Oxford University Press Inc.
Cheung, B. C. F., Ting, S. L., Tsang, A. H. C., and Lee, W. B. (forthcoming): A Methodological Approach to Optimizing RFID Deployment, Information Systems Frontiers, DOI 10.1007/s10796-012-9391-8.
Chitturi, R., Raghunathan, R., & Mahajan, V. (2008). Delight by design: The role of hedonic versus utilitarian benefits. Journal of Marketing, 72, 48–63.CrossRef
Compeau, D. R., Higgins, C. A., & Huff, S. (1999). Social cognitive theory and individual reactions to computer technology: A longitudinal study. MIS Quarterly, 23(2), 145–158.CrossRef
Corston, R., & Colman, A. M. (1996). Gender and social facilitation effects on computer competence and attitudes toward computers. Journal of Educational Computing Research, 14(2), 171–183.CrossRef
Curtin, J., Kauffman, R. J., & Riggins, F. J. (2007). Making the “MOST“out of RFID technology: A research agenda for the study of the adoption, usage and Impact of RFID. Information Technology Management, 8, 87–110.CrossRef
Czaja, S. J., Charness, N., Fisk, A. D., Hertzog, C., Nair, S. N., Rogers, W. A., & Sharit, J. (2006). Factors predicting the use of technology: Findings from the center for research and education on aging and technology enhancement (CREATE). Psychology and Aging, 21(2), 333–352.CrossRef
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.CrossRef
Dommeyer, C. J., & Gross, B. L. (2003). What consumers know and what they do: An investigation of consumers knowledge, awareness, and use of privacy protection strategies. Journal of Interactive Marketing, 17(2), 34–51.CrossRef
Durndell, A., & Hag, Z. (2002). Computer self-efficacy, computer anxiety, attitudes towards the internet and reported experience with the internet, by gender, in an East European sample. Computers in Human Behavior, 18, 521–535.CrossRef
Eckfeldt, B. (2005). What does RFID do for the consumer? Communication of the ACM, 48(9), 77–79.CrossRef
Fagan, M. H., Neill, S., and Woolridge, B. R. (2003–2004). An Empirical Investigation into the Relationship between Computer Self-Efficacy, Anxiety, Experience, Support and Usage, Journal of Computer Information Systems, Winter, 95–104.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley Publishing Company.
Fogel, J., & Nehmad, E. (2009). Internet social network communities: Risk taking, trust, and privacy concerns. Computers in Human Behavior, 25, 153–160.CrossRef
Foon, Y. S., & Fah, B. C. Y. (2011). Internet banking in Kuala Lumpur: An application of UTAUT model. International Journal of Business and Management, 6(4), 161–167.
Füller, J. (2010). Refining virtual co-creation from a consumer perspective. California Management Review, 52(2), 98–122.CrossRef
Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57, 768–775.CrossRef
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis, 6th edn. Upper Saddle River, NJ: Pearson Prentice Hall.
Hall, D., & Mansfield, R. (1975). Relationships of age and seniority with career variables of engineers and scientists. Journal of Applied Psychology, 60(2), 201–210.CrossRef
Harris, C. R., Jenkins, M., & Glaser, D. (2006). Gender differences in risk assessment: Why do women take fewer risks than men? Judgement and Decision Making, 1(1), 48–63.
Heim, G. R., Wentworth, W. R., Jr., & Peng, X. (2009). The value to the customer of RFID in service applications. Decision Sciences, 40(3), 477–512.CrossRef
Hossain, M. M., & Prybutok, V. R. (2008). Consumer acceptance of RFID technology: An exploratory study. IEEE Transactions on Engineering Management, 55(2), 316–328.CrossRef
Iigbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage. Omega, 23(6), 587–605.CrossRef
Im, I., Hong, S., & Kang, M. S. (2011). An international comparison of technology adoption testing the UTAUT model. Information and Management, 48, 1–8.CrossRef
Jung, Y., Peng, W., Moran, M., Jin, S.-A. A., McLaughlin, M., Cody, M., Jordan-Marsh, M., Albright, J., & Silverstein, M. (2010). Low-income minority seniors’ enrollment in a cybercafé: Psychological barriers to crossing the digital divide. Educational Gerontology, 36, 193–212.CrossRef
Khan, U. and Dhar, R. (2010). Price-Framing Effects on the Purchase of Hedonic and Utilitarian Bundles, Journal of Marketing Research, XLVII, December, 1090–1099.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544–564.CrossRef
Laguna, K., & Babcock, R. L. (1997). Computer anxiety in young and older adults: Implications for human-computer interactions in older populations. Computers in Human Behavior, 13(3), 317–326.CrossRef
Lee, J.-W. (2010). The roles of demographics on the perceptions of electronic commerce adoption. Academy of Marketing Studies Journal, 14(1), 71–89.
Ligas, M., & Chaudhuri, A. (2012). The moderating roles of shopper experience and store type on the relationship between perceived merchandise value and willingness to pay a higher price. Journal of Retailing and Consumer Services, 19, 249–258.CrossRef
Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56, 899–906.CrossRef
Milne, G. R., & Culnan, M. (2004). Strategies for reducing online privacy risks: Why consumers read (or don’t Read) online privacy notices. Journal of Interactive Marketing, 18(3), 15–29.CrossRef
Minton, H. L., & Schneider, F. W. (1980). Differential psychology. Prospect Heights: Waveland Press.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222.CrossRef
Müller-Seitz, G., Dautzenberg, K., Creusen, U., & Stromereder, C. (2009). Customer acceptance of RFID technology: Evidence from the German electronic retail sector. Journal of Retailing and Consumer Behavior, 16, 31–39.CrossRef
Nambisan, S., & Baron, R. A. (2007). Interaction in virtual customer environments: Implications for product support and customer relationship management. Journal of Interactive Marketing, 21(2), 42–62.CrossRef
Neufeld, D. J., Dong, L., & Higgins, C. (2007). Charismatic leadership and user acceptance of information technology. European Journal of Information Systems, 16, 494–510.CrossRef
Ngai, E. W. T., Moon, K. K. L., Riggins, F. J., & Yi, C. Y. (2008). RFID research: An academic literature review (1995–2005) and future research directions. International Journal of Production Economics, 112, 510–520.CrossRef
Nysveen, H., Pedersen, P. E., & Thorbjørnsen, H. (2005). Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3), 330–346.CrossRef
Peltier, J. W., Milne, G. R., & Phelps, J. E. (2009). Information privacy research: Framework for integrating multiple publics, information channels, and responses. Journal of Interactive Marketing, 23, 191–205.CrossRef
Plude, D., & Hoyer, W. (1985). Attention and performance: Identifying and localizing age deficits. In N. Charness (Ed.), Aging and Human Performance (pp. 47–99). New York: John Wiley & Sons.
Podsakoff, P. M., MacKenzie, S., 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, 879–903.CrossRef
Porter, L. (1963). Job attitudes in management: Perceived importance of needs as a function of job level. Journal of Applied Psychology, 47(2), 141–148.CrossRef
Pramatari, K., & Theotokis, A. (2009a). Consumer acceptance of RFID-enabled services: A model of multiple attitudes, System Characteristics and Individual Traits. European Journal of Information Systems, 18, 541–552.CrossRef
Rhodes, S. R. (1983). Age-related differences in work attitude and behavior: A review and conceptual analysis. Psychological Bulletin, 93(2), 328–367.CrossRef
Ronan, R., & Kim, D.-Y. (2006). Gender differences in explicit and implicit risk attitudes: A socially facilitated phenomenon. British Journal of Social Psychology, 45, 397–419.CrossRef
Roussos, G. (2006). Enabling RFID in Retail, IEEE, March, 26–29.
Sam, H. K., Othman, A. E. A., & Nordin, Z. S. (2005). Computer self-efficacy, computer anxiety, and attitudes toward the internet: A study among undergraduates in Unimas. Educational Technology and Society, 8(4), 205–219.
Saunders, E. J. (2004). Maximizing computer use among elderly in rural senior centers. Educational Gerontology, 30, 573–585.CrossRef
Schaupp, L. C., & Carter, L. (2010). The impact of trust, risk and optimism bias on E-File adoption. Information Systems Frontiers, 12, 299–309.CrossRef
Shaw, L. H., & Gant, L. M. (2002). Users divided? Exploring the gender gap in internet use. CyberPsychology and Behavior, 5(6), 517–527.CrossRef
Sheehan, K. B. (1999). An investigation of gender differences in online privacy concerns and resultant behaviors. Journal of Interactive Marketing, 13(4), 24–38.CrossRef
Sheng, Q. Z., Zeadally, S., Luo, Z., Chung, J.-Y., & Maamar, Z. (2010). Ubiquitous RFID: Where Are We? Information Systems Frontiers, 12, 485–490.
Sill, H. E., Fisher, S. L., & Wasserman, M. E. (2008). Consumer reactions to potential intrusiveness and benefits of RFID. International Journal of Information Technology and Management, 7(1), 76–97.CrossRef
Slettemeås, D. (2009). RFID – the “Next Step” in consumer-product relations or Orwellian nightmare?Challenges for research and policy. Journal of Consumer Policy, 32, 219–244.CrossRef
Taghaboni-Dutta, F. and Velthouse, B. (2006). RFID Technology Is Revolutionary: Who Should Be Involved in This Game og Tag?, Academy of Management Perspective, November, 65–78.
Todman, J. (2000). Gender differences in computer anxiety among university entrants since 1992. Computers & Education, 34, 27–35.CrossRef
Tsai, C.-Y., & Chung, S.-H. (2012). A personalized route recommendation service for theme parks using RFID information and tourist behavior. Decision Support Systems, 52, 514–527.CrossRef
Tsai, J. T., Egelman, S., Cranor, L., & Acquisti, A. (2011). The effect of online privacy information on purchasing behavior: An experimental study. Information Systems Research, 22(2), 254–268.CrossRef
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 45(2), 186–204.CrossRef
Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139.CrossRef
Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision making processes. Organizational Behavior and Human Decision Processes, 83(1), 33–60.CrossRef
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
Want, R. (2006). An introduction to RFID technology. Pervasive Computing, 5(1), 25–33.CrossRef
Wilfong, J. D. (2006). Computer anxiety and anger: The impact of computer use, computer experience, and self-efficacy beliefs. Computers in Human Behavior, 22, 1001–1011.CrossRef
Wu, N. C., Nystrom, M. A., Lin, T. R., & Yu, H. C. (2006). Challenges to global RFID adoption. Technovation, 26(12), 1317–1323.CrossRef
Zaijicek, M. and Hall, S. (2000). Solutions for Elderly Visually Impaired People Using Internet, HCI, 299–307.
Zhou, T. (forthcoming): Understanding User Adoption of Location-Based Services from a Dual Perspective of Enablers and Inhibitors, Information Systems Frontiers, DOI 10.1007/s10796-013-9413-1.
Metadaten
Titel
Consumer adoption of RFID-enabled services. Applying an extended UTAUT model
verfasst von
Herbjørn Nysveen
Per Egil Pedersen
Publikationsdatum
01.04.2016
Verlag
Springer US
Erschienen in
Information Systems Frontiers / Ausgabe 2/2016
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-014-9531-4

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