A Multi-dimensional Structure for User Resistance with the Determinants of Innovative Product Use on Virtual Reality

Hyun-jung Park, Kyung-shik Shin, Jaewon Choi

Abstract


Motion-sensing interface enhances the sense of reality of user experience in virtual reality context. This study analyzes the innovation resistance and adoption structure for Leap Motion, which provides a motion-sensing function, primarily considering the theory of perceived risk. Previous research regarding innovation resistance and adoption mainly addressed the resultant aspects of perceived risk, or the impact of perceived value on the adoption intention. This study synthetically reviews previous studies from a multi-dimensional view considering both resistance- and adoption-perspective. To do so, we identified important antecedents that affect perceived risk and value, and we analyzed the compound dynamics of perceived risk and value towards innovation resistance. As a result, we found that the antecedents included in the existent acceptance models from adoption-perspective can help reduce the level of perceived risk, and that higher perceived value leads to lower innovation resistance. Additionally, trialability can rather foster the perceived risk.


Full Text:

PDF

References


Agarwal, R. and Prasad, J., “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology,” Information System Research, Vol. 9, No. 2, pp. 204-215, 1998.

Anderson, E. W., Fornell, C., and Lehmann, R. L., “Customer Satisfaction, Market Share, and Profitability: Findings from Sweden,” Journal of Marketing, Vol. 53, No. 3, pp. 53-66, 1994.

Bauer, R., Consumer Behavior as Risk Taking, In Cox, D. (Ed.), Risk Taking and Information Handling in Consumer Behavior, Harvard University Press, Cambridge, MA, 1967.

Baumgartner, H. and Steenkamp, E. M., “Exploratory Consumer Buying Behavior: Conceptualization and Measurement,” International Journal of Research in Marketing, Vol. 13, No. 2, pp. 121-137, 1996.

Bettman, J., “Perceived Risk and its Components: a Model and Empirical Test,” Journal of Marketing Research, Vol. 10, No. 2, pp. 184-190, 1973.

Bhatnagar, A., Misra, S., and Rao, H. R., “On Risk, Convenience, and Internet Shopping Behaviour,” Communications of the ACM, Vol. 43, No. 11, pp. 98-105, 2000.

Bojanic, D. C., “Consumer Perceptions of Price, Value and Satisfaction in the Hotel Industry: An Exploratory Study,” Journal of Hospitality and Leisure Marketing, Vol. 4, No. 2, pp. 5-22, 1996.

Brown, S. A. and Venkatesh, V., “Model of Adoption of Technology in the Household: A Baseline Model Test and Extension Incorporating Household Life Cycle,” MIS Quarterly, Vol. 29, No. 4, pp. 399-426, 2005.

Carman, J. M., “Value and Consumption Patterns: A Closed Loop,” Advances in Consumer Research, Vol. 5, No. 1, pp. 403-407, 1978.

Chen, C. F. and Tsai, M. H., “Perceived Value, Satisfaction, and Loyalty of TV Travel Product Shopping: Involvement as a Moderator,” Tourism Management, Vol. 29, No. 6, pp. 1166-1171, 2008.

Choi, J., “The Impact of Perceived Risk on Innovation Resistance toward Mobile Video Telephony Service,” Korean Corporation Management Review, Vol. 20, No. 4, pp. 53-75, 2013.

Compeau, D. R., Meister, D. B., and Higgins, C. A., “From Prediction to Explanation: Reconceptualizing and Extending the Perceived Characteristics of Innovating,” Journal of the Association for Information Systems, Vol. 8, No. 8, pp. 409-439, 2007.

Crespo, Á. H., del Bosque, I. R., and delos Salmones Sánchez M. M. G., “The Influence of Perceived Risk on Internet Shopping Behavior: A Multidimensional Perspective,” Journal of Risk Research, Vol. 12, No. 2, pp. 259-277, 2009.

Cunningham, S., The Major Dimensions of Perceived Risk. In: D. Cox (Ed.), Risk Taking and Information Handling in Consumer Behavior, Harvard University Press, Cambridge, MA, 1967.

Davis, F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.

Dowling, G. and Staelin, R., “A Model of Perceived Risk and Intended Risk-handling Activity,” Journal of Consumer Research, Vol. 21, No. 1, pp. 119-134, 1994.

Eastlick, M. A. and Lotz, S. “Profiling Potential Adopters and Non-adopters of an Interactive Electronic Shopping Medium,” International Journal of Retail and Distribution Management, Vol. 27, No. 8, pp. 209-23, 1999.

Engel, J., Blackwell, R., and Miniard, P., Consumer Behavior, CBS College Publishing, New York, 1986.

Featherman, M. S. and Pavlou, P. A., “Predicting E-Services Adoption: A Perceived Risk Facets Perspective,” International Journal of Human-Computer Studies, Vol. 59, No. 4, pp. 451-474, 2003.

Festinger, L., A Theory of Cognitive Dissonance, Stanford University Press, Stanford, CA, 1957.

Fornell, C. and Larcker, D. F., “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50, 1981.

Gabarino, E. C. and Edell, J. A., “Congnitive Effort, Affect, and Choice,” Journal of Consumer Research, Vol. 24, No. 2, pp. 147-158, 1997.

Germunden, H. G., “Perceived Risk and Information Search: a Systematic Meta-analysis of Empirical Evidence,” International Journal of Research in Marketing, Vol. 2, No. 2, pp. 79-100, 1985.

Gupta, B., Dasgupta, S., and Gupta, A., “Adoption of ICT in a Government Organization in a Developing Country: An Empirical Study,” Strategic Information Systems, Vol. 17, No. 2, pp. 140-154, 2008.

Hellier, P. K., Geurson, G. M., Carr, R. A., and Rickard, J. A., “Customer Repurchase Intention: A General Structural Equation Model,” European Journal of Marketing, Vol. 29, No. 11-12, pp. 1762-1800, 2003.

Jacoby, J. and Kaplan, L. B., “The Components of Perceived Risk,” 3rd Annual Conference of the Association for Consumer Research, pp. 382-393, 1972.

Jarvenpaa, S. L. and Todd, P. A., Is There a Future for Retailing on the Internet, In Electronic Marketing and the Consumer, (Ed.) R. A. Peterson, 139-54, Thousand Oaks, CA: Sage Publications, 1997.

Jeong, N. Y., Yoo, T. S., and Heo, T. Y., “Moderating Effect of Personal Innovativeness on Mobile-RFID Services: Based on Warshaw’s Purchase Intention Model,” Technological Forecasting and Social Change, Vol. 76, No. 1, pp. 154-164, 2009.

Jeong, S., Kang, Y., and Lee. C., “The Classification of the Perceived Risks Involved in E-Commerce and the Developments of Their Measures,” The Journal of Information Systems, Vol. 15, No. 1, pp. 215-238, 2006.

Jo, S. and Koh. J., “Hightech Marketing in Asia: Salesperson’s innovation resistance toward sales force automation technologies: Technology acceptance model and salesperson’s psychological states”, Asia Marketing Journal, Vol. 9, No. 4, pp. 145-177, 2008.

Joseph, B. and Vyas, S. J., “Concurrent Validity of a Measure of a Measure of Innovative Cognitive Style,” Journal of the Academy of Marketing Science, Vol. 12, No. 2, pp. 159-175, 1984.

Kelly, P. and Kranzberg, M., “Technological Innovation: A Critical Review of Current Knowledge, San Francisco Press, San Francisco, 1978.

Kim, H. W., Chan, H. C., and Gupta, S., “Value-Based Adoption of Mobile Internet: An Empirical Investigation,” Decision Support Systems, Vol. 43, No. 1, pp. 111-126, 2007.

Kim, Y. and Choi, Y., “Determinants of Psychological Resistance against IPTV-Modification of Innovation Resistance Model,” Korean Journal of Broadcasting and Telecommunications Research, Vol. 69, pp. 163-191, 2009.

Kim, Y. and Lee, J., “The Psychological Resistance Factors against Mobile Video Telephony,” Journal of Marketing Management Research, Vol. 15, No. 2, pp. 23-41, 2010.

Lee, A., Choi, J., and Kim, K., “The Determinants of User Resistance to Adopting e-Books : Based on Innovation Characteristics and User Attitude,” The Journal of Society for e-Business Studies, Vol. 17, Vol. 4, pp. 95-115, 2012.

Lee, H. K., Lee, S. H., and Jang, B. H., “Factors Affecting the Resistance of 3DTV Adoption; Combining the Theory of Diffusion of Innovation and Innovation Resistance Model,” Korean Journal of Broadcasting and Telecommunications Research, Vol. 80, pp. 78-111, 2012.

Liu, C., Marchewka, J. T., Lu, J., and Yu, C.-S., “Beyond Concern-a Privacy-Trust-Behavioral Intention Model of Electronic Commerce,” Information and Management, Vol. 42, No. 3, pp. 289-304, 2005.

Lopez-Nicolas, C., Molina-Castillo, F. J., and Bouwman, H., “An Assessment of Advanced Mobile Services Acceptance: Contributions from TAM and Diffusion Theory Models,” Information and Management, Vol. 45, No. 6, pp. 359-364, 2008.

Luo, X., Li, H., Zhang, J., and Shim, J. P., “Examining Multi-Dimensional Trust and Multi-Faceted Risk in Initial Acceptance of Emerging Technologies: An Empirical Study of Mobile Banking Services,” Decision Support Systems, Vol. 49, No. 2, pp. 222-234, 2010.

Martins, C., Exploring Digital Music Online: User Acceptance and Adoption of Online Music Services, Instituto Superior de Economia Gestão, 2013.

Melody, M. T., Ho, S. C., and Liang, T. P., “Consumer Attitude toward Mobile Advertising: An Empirical Study,” International Journal of Electronic Commerce, Vol. 8, No. 3, pp. 65-78, 2004.

Moore, G. C. and Benbasat, I., “Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation,” Information Systems Research, Vol. 2, No. 3, pp. 192-222, 1991.

Park, Y. and Lee, S., “Integrating Consumer Resistance into the Technology Acceptance Model(TAM) and Applying to the Mobile Internet Service”, Korean Management Review, Vol. 6, No. 7, pp. 1811-1841, 2007.

Peter, J. and Ryan, M., “An Investigation of Perceived Risk at the Brand Level,” Journal of Marketing Research, Vol. 13, No. 2, pp. 184-188, 1976.

Plouffe, C. R., Hulland, J. S., and Vandenbosch, M., “Research Report: Richness versus Parsimony in Modeling Technology Adoption Decisions-Understanding Merchant Adoption of a Smart Card-Based Payment System,” Information Systems Research, Vol. 12, No. 2, pp. 208-222, 2001.

Ram, S. and Sheth, J. N., “Consumer Resistance to Innovations: The Marketing Problem and Its Solutions,” Journal of Consumer Marketing, Vol. 6, No. 2, pp. 5-14, 1989.

Ram, S., “Successful Innovation Using Strategies to Reduce Consumer Resistance: An Empirical Test,” Journal of Product Innovation Management, Vol. 6, No. 1, pp. 20-34, 1989.

Ram, S., A Model of Innovation Resistance, In Advances in Consumer Research, Vol. 14, pp. 208-212, Eds. Melanie Wallendorf and Paul Anderson, Association for Consumer Research, 1987.

Rogers, E. M. and Shoemaker, F. F., Communication of Innovation: A cross-Cultural Approach, The Free Press, New York, 1971.

Rogers, E. M., Diffusion of Innovations (5th Ed.), The Free Press, New York, 2003.

Roselius, T., “Consumer Rankings of Risk Reduction Methods,” Journal of Marketing, Vol. 35, No. 1, pp. 56-61, 1971.

Rosenberg, M. J., Hovland, C. I., McGre, W. J., Abelson, R. P., and Brehm, J. W., Attitude Organization and Change, Yale University Press, New Haven, 1960.

Samuelson, W. and Zeckhauser, R., “Status Quo Bias in Decision Making,” Journal of Rzsk cind C’ncertaznt, Vol. 1, No. 1, pp. 7-59, 1988.

Schierz, P. G., Schilke, O., and Wirtz, B. W., “Understanding Consumer Acceptance of Mobile Payment Service: An Empirical Analysis,” Electronic Commerce Research and Applications, Vol. 9, No. 3, pp. 209-216, 2010.

Sheth, J. N., “Psychology of Innovation Resistance: The Less Developed Concept(LDC) in Diffusion Research,” Research in Marketing, Vol. 4, No. 3, pp. 273-282, 1981.

Shin, S. H., “Towards an Understanding of the Consumer Acceptance of Mobile Wallet,” Computers in Human Behavior, Vol. 25, No. 6, pp. 1343-1354, 2009.

Song, H. and Kim, K., “Resistance to Mobile Commerce Services”, The Journal of Society for e-Business Studies, Vol. 11, No. 2, pp. 111-134, 2006.

Stone, R. N. and Gronhaug, K., “Perceived Risk: Further Considerations for Marketing Discipline,” European Journal of Marketing, Vol. 27, No. 3, pp. 39-50, 1993.

Taylor, J., “The Role of Risk in Consumer Behavior,” Journal of Marketing, Vol. 38, No. 2, pp. 54-60, 1974.

Venkatesh, V. and Davis, F. D., “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies,” Management Science, Vol. 46, No. 2, pp. 186-204, 2000.

Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D., “User Acceptance of Information Technology: Toward a Unified View,” MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003.

Venkatesh, V., Thong, J. Y. L., and Xu, X., “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology,” MIS Quarterly, Vol. 36, No. 1, pp. 157-178, 2012.

Wang, H. Y. and Wang, S. H., “Predicting Mobile Hotel Reservation Adoption: Insight from a Perceived Value Standpoint,” International Journal of Hospitality Management, Vol. 29, No. 4, pp. 598-608, 2010.

Yang, Z. and Peterson, T., “Customer Perceived Value, Satisfaction, and Loyalty: The Role of Switching Costs,” Psychology and Marketing, Vol. 21, No. 10, pp. 799-822, 2004.

Yun, S., Kim. M., and Choi, J., “Effects of Innovation Characteristics and User Characteristics on the Adopting e-Books : Focused on Innovation Resistance Model,” The Korea Contents Association, Vol. 14, No. 8, pp. 61-73, 2014.

Zaltman, G. and Wallendorf, M. Consumer Behavior: Basic Findings and Management Implications, John Wiley and Sons, New York, 1983.

Zeithaml, V. A., “Consumer Perceptions of Price Quality, and Value: A Mean-End Model and Synthesis of Evidence,” Journal of Marketing, Vol. 52, No. 3, pp. 2-22, 1988.


Refbacks

  • There are currently no refbacks.