Modelling the determinants of a simulated experience in a virtual retail store and users’ product purchasing intentions

References

• Algharabat, R., & Dennis, C. (2010a). 3D product authenticity model for online retail: An invariance analysis. International Journal of Business Science and Applied Management, 5(3), 14–30. http://www.business-and-management.org/paper.php?id=59
   Google Scholar
• Algharabat, R., & Dennis, C. (2010b). Using authentic 3D product visualisation for an electrical online retailer. Journal of Customer Behaviour, 9(2), 97–115. doi: http://dx.doi.org/10.1362/147539210X511326
   Google Scholar
• Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12(2), 125–143. doi: 10.1287/mksc.12.2.125
   Web of Science ®Google Scholar
• Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20, 644–656. http://www.jstor.org/stable/2489765
   Google Scholar
• Bansal, H. S., McDougall, G. H. G., Dikolli, S. S., & Sedatole, K. L. (2004). Relating e-satisfaction to behavioural outcomes: An empirical study. Journal of Services Marketing, 18(4), 290–302. doi: 10.1108/08876040410542281
   Google Scholar
• Bao, J. S., Jin, Y., Gu, M. Q., Yan, J. Q., & Ma, D. Z. (2002). Immersive virtual product development. Journal of Materials Processing Technology, 129, 592–596. http://dx.doi.org/10.1016/S0924-0136(02)00655-6
   Google Scholar
• Baron, S., Harris, K., & Harris, R. (2001). Retail theatre: The ‘intended effect’ of the performance. Journal of Service Research, 4(2), 102–117. doi: 10.1177/109467050142003
   Google Scholar
• Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing Letters, 2, 159–170. http://dx.doi.org/10.1007/BF00436035
   Google Scholar
• Bentler, P. M., & Chou, C. (1987). Practical issues in structural modeling. Sociological Methods and Research, 16, 78–117. doi: 10.1177/0049124187016001004
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. http://www.jstor.org/stable/3250921
   Google Scholar
• Boudreau, M. C., Gefen, D., & Straub, D. W. (2001). Validation in information systems research: A state-of-the-art assessment. MIS Quarterly, 25(1), 1–15. http://www.jstor.org/stable/3250956
   Google Scholar
• Bourlakis, M., Papagiannidis, S., & Li, F. (2009). Retail spatial evolution: Paving the way from traditional to metaverse retailing. Electronic Commerce Research, 9(1), 135–148. doi: 10.1007/s10660-009-9030-8
   Web of Science ®Google Scholar
• Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511–535. http://dx.doi.org/10.1016/S0022-4359(01)00056-2
   Google Scholar
• Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189–217. doi: 10.1287/isre.14.2.189.16018
   Web of Science ®Google Scholar
• Coursaris, C., Swierenga, S. J., & Watrall, E. (2008). An empirical investigation of color temperature and gender effects on web aesthetics. Journal of Usability Studies, 3(3), 103–117. http://www.upassoc.org/upa_publications/jus/2008may/index.html
   Google Scholar
• Cronin, J. J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value and customer satisfaction on consumer behavioural intentions in service environments. Journal of Retailing, 76(2), 193–218. http://dx.doi.org/10.1016/S0022-4359(00)00028-2
   Google Scholar
• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper & Row.
   Google Scholar
• D’Alba, A., Najmi, A., Gratch, J., & Bigenho, C. (2011). Virtual learning environments. The oLTECx: A study of participant attitudes and experiences. International Journal of Gaming and Computer-Mediated Simulations, 3(1), 33–50. doi: 10.4018/jgcms.2011010103
   Google Scholar
• Fiore, A. M., Jin, H. J., & Kim, J. (2005). For fun and profit: Hedonic value from image interactivity and responses toward an online store. Psychology and Marketing, 22(8), 669–694. doi: 10.1002/mar.20079
   Web of Science ®Google Scholar
• Fiore, A. M., Kim, J., & Lee, H. H. (2005). Effect of image interactivity technology on consumer responses toward the online retailer. Journal of Interactive Marketing, 19(3), 38–53. http://dx.doi.org/10.1002/dir.20042
   Google Scholar
• Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452. http://www.jstor.org/stable/3151718
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. http://www.jstor.org/stable/3150980
   Google Scholar
• Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, Article 7. http://aisel.aisnet.org/cais/vol4/iss1/7/
   Google Scholar
• Ghani, J. A. (1995). Flow in human computer interactions: Test of a model. In J. Carey (Ed.), Human factors in information systems: Emerging theoretical bases (pp. 291–311). Norwood, NJ: Ablex.
   Google Scholar
• Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human–computer interaction. Journal of Psychology, 128(4), 381–391. doi: 10.1080/00223980.1994.9712742
   Web of Science ®Google Scholar
• Gonçalves, C., Croset, M.-C., Ney, M., Balacheff, N., Bosson, J.-L. (2010). Authenticity in learning game: How it is designed and perceived. In M. Wolpers et al. (Eds.), Sustaining TEL: From innovation to learning and practice (pp. 109–122). Berlin: Springer.
   Google Scholar
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice-Hall.
   Google Scholar
• Harris, K., Harris, R., & Baron, S. (2001). Customer participation in retail service: Lessons from Brecht. International Journal of Retail and Distribution Management, 29(8), 359–369. doi: 10.1108/09590550110396845
   Google Scholar
• Hassenzahl, M., & Tractinsky, N. (2006). User experience – A research agenda. Behaviour and Information Technology, 25(2), 91–97. doi: 10.1080/01449290500330331
   Web of Science ®Google Scholar
• Hausman, A. V., & Siekpe, J. S. (2009). The effect of web interface features on consumer online purchase intentions. Journal of Business Research, 62, 5–13. http://dx.doi.org/10.1016/j.jbusres.2008.01.018
   Google Scholar
• Healy, M. J., Beverland, M. B., Oppewal, H., & Sands, S. (2007). Understanding retail experiences – The case for ethnography. International Journal of Market Research, 49(6), 751–778. http://links.emeraldinsight.com/ref/37AB217
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2008). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing (pp. 277–319): Bingley: Emerald. doi: 0.1108/S1474-7979(2009)0000020014
   Google Scholar
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundation. Journal of Marketing, 60, 50–68. http://www.jstor.org/stable/1251841
   Google Scholar
• Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9(2), 132–140. http://www.jstor.org/stable/2489122
   Google Scholar
• Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling,6, 1–55. doi: 10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hutchins, E. L. D., Hollan, J., & Norman, D. A. (1985). Direct manipulation interfaces. Human–Computer Interaction, 1, 311–338. doi: 10.1207/s15327051hci0104_2
   Google Scholar
• Jones, M. A., Reynolds, K. E., & Arnold, M. J. (2006). Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes. Journal of Business Research, 59, 974–981. http://dx.doi.org/10.1016/j.jbusres.2006.03.006
   Google Scholar
• Katerattanakul, P., & Siau, K. (2003). Creating a virtual store image. Communications of the ACM – Mobile Computing Opportunities and Challenges, 46(12), 226–232. doi: 10.1145/953460.953504
   Google Scholar
• Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behaviour towards an online retailer. Journal of Retailing and Consumer Services, 14, 95–107. http://dx.doi.org/10.1016/j.jretconser.2006.05.001
   Google Scholar
• Kim, J., & Forsythe, S. (2007). Hedonic usage of product virtualisation technologies in online apparel shopping. International Journal of Retail and Distribution Management, 35(6), 502–514. doi: 10.1108/09590550710750368
   Google Scholar
• Kim, Y. K. (2001). Experiential retailing: An interdisciplinary approach to success in domestic and international retailing. Journal of Retailing and Consumer Services, 8(5), 287–289. http://dx.doi.org/10.1016/S0969-6989(00)00034-5
   Google Scholar
• Klein, L. R. (2003). Creating virtual product experiences: The role of telepresence. Journal of Interactive Marketing, 17(1), 41–55. http://dx.doi.org/10.1002/dir.10046
   Google Scholar
• Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction and post-purchase intention in mobile value-added services. Computers in Human Behaviour, 25(4), 887–896. http://dx.doi.org/10.1016/j.chb.2009.03.003
   Google Scholar
• Laria, G., & Pantano, E. (2012). Introduction of innovative retail systems based on immersive environments. International Journal of Digital Content Technology and its Application, 6(2), 248–254. doi: 10.4156/jdcta.vol6.issue2.30
   Google Scholar
• Lee, K. M. (2004). Presence, explicated. Communication Theory, 14(1), 27–50. doi: 10.1111/j.1468-2885.2004.tb00302.x
   Web of Science ®Google Scholar
• Liu, Y., & Shrum, L. J. (2002). What is interactivity and is it always such a good thing? Implications of definition, person and situation for the influence of interactivity on advertising effectiveness. Journal of Advertising, 31(4), 53–64. http://www.jstor.org/stable/4189237
   Google Scholar
• Malaby, T. (2006). Parlaying value: Capital in and beyond virtual worlds Games and Culture, 1(2), 141–162. doi: 10.1177/1555412006286688
   Google Scholar
• McMillan, S. J., & Hwang, J. S. (2002). Measures of perceived interactivity: An exploration of the role of direction of communication, user control, and time in shaping perceptions of interactivity. Journal of Advertising, 31 (3), 29–42. http://www.jstor.org/stable/4189224
   Google Scholar
• Mittal, V., & Kamakura, W. A. (2001). Satisfaction, repurchase intent and repurchase behaviour: Investigating the moderating effect of customer characteristics. Journal of Marketing Research, 38, 131–142. http://www.jstor.org/stable/1558577
   Google Scholar
• Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63, 919–925. http://dx.doi.org/10.1016/j.jbusres.2009.05.014
   Google Scholar
• Novak, T. P., Hoffman, D. L., & Yiu-Fai Yung, Y. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42. doi: 10.1287/mksc.19.1.22.15184
   Web of Science ®Google Scholar
• Oulasvirta, A., Tamminen, S., Roto, V., & Kuorelahti, J. (2005). Interaction in 4-second bursts: The fragmented nature of attentional resources in mobile HCI. Paper presented at the SIGCHI Conference on Human Factors in Computing Systems, Portland, Oregon.
   Google Scholar
• Pantano, E., & Servidio, R. (2012). Modeling innovative points of sales through virtual and immersive technologies. Journal of Retailing and Consumer Services, 19(3), 279–286. http://dx.doi.org/10.1016/j.jretconser.2012.02.002
   Google Scholar
• Papagiannidis, S., Bourlakis, M. A., & Li, F. (2008). Making real money in virtual worlds: MMORPGs and emerging business opportunities, challenges and ethical implications in metaverses. Technological Forecasting and Social Change, 75, 610–622. http://dx.doi.org/10.1016/j.techfore.2007.04.007
   Google Scholar
• Parke, F. I. (2005). Lower cost spatially immersive visualization for human environments. Landscape and Urban Planning, 73, 234–243. http://dx.doi.org/10.1016/j.landurbplan.2004.11.009
   Google Scholar
• Podsakoff, P., & Organ, D. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management Information Systems, 12(4), 531–544. doi: 10.1177/014920638601200408
   Web of Science ®Google Scholar
• Prahalad, C. K., & Ramaswamy, V. (2004a). Co-creation experiences: The next practice in value creation. Journal of Interactive Marketing, 18(3), 5–14. http://dx.doi.org/10.1002/dir.20015
   Google Scholar
• Prahalad, C. K., & Ramaswamy, V. (2004b). The future of competition: Co-creating unique value with customers. Boston, MA: Harvard Business School Press.
   Google Scholar
• Reinartz, W., Haenlein, M., & Henseler, J. (2009). An empirical comparison of the efficacy of covariance-based and variance-based SEM. International Journal of Research in Marketing, 26(4), 332–344. http://dx.doi.org/10.1016/j.ijresmar.2009.08.001
   Google Scholar
• Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (beta). Retrieved from http://www.smartpls.de
   Google Scholar
• Schmitt, B. (1999). Experiential marketing. Journal of Marketing Management, 15(1–3), 53–67. doi: 10.1362/026725799784870496
   Google Scholar
• See-To, E., Papagiannidis, S., & Cho, V. (2012). User experience on mobile video appreciation: How to engross users and to enhance their enjoyment in watching mobile video clips. Technological Forecasting and Social Change, 79(8), 1484–1494. http://dx.doi.org/10.1016/j.techfore.2012.03.005
   Google Scholar
• Sheridan, T. B. (1992). Musings on telepresence and virtual presence. Presence, 1, 120–126. http://dl.acm.org/citation.cfm?id=128947.128956
   Google Scholar
• Shih, C. (1998). Conceptualising consumer experiences in cyberspace. European Journal of Marketing, 32(7/8), 655–663. doi: 10.1108/03090569810224056
   Google Scholar
• Song, J. H., & Zinkhan, G. M. (2008). Determinants of perceived web site interactivity. Journal of Marketing Research, 72, 99–113. doi: 10.1509/jmkg.72.2.99
   Web of Science ®Google Scholar
• Stephenson, N. (1992). Snow crash. New York, NY: Bantam Book.
   Google Scholar
• Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93. doi: 10.1111/j.1460-2466.1992.tb00812.x
   Web of Science ®Google Scholar
• Sylaiou, S., Mania, K., Karoulis, A., & White, M. (2010). Exploring the relationship between presence and enjoyment in a virtual museum. International Journal of Human–Computer Studies, 68(5), 243–253. http://dx.doi.org/10.1016/j.ijhcs.2009.11.002
   Google Scholar
• Taylor, S. A., & Baker, T. L. (1994). An assessment of the relationship between service quality and customer satisfaction in the formation of consumers’ purchase intentions. Journal of Retailing, 70(2), 163–178. http://dx.doi.org/10.1016/0022-4359(94)90013-2
   Google Scholar
• Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling Computational Statistics and Data Analysis, 48(1), 159–205. http://dx.doi.org/10.1016/j.csda.2004.03.005
   Google Scholar
• Thompson, J., Kucher-Morin, J., Novak, M., Overholt, D., Putnam, L., Wakefield, G., & Smith, W. (2009). The Allobrain: An interactive, stereographic, 3D audio, immersive virtual world. International Journal of Human–Computer Studies, 67, 934–946. http://dx.doi.org/10.1016/j.ijhcs.2009.05.005
   Google Scholar
• Turkay, S., & Adinolf, S. (2010). Free to be me: A survey study on customization with World of Warcraft and City of Heroes/Villains players. Procedia Social and Behavioral Sciences, 2, 1840–1845. http://dx.doi.org/10.1016/j.sbspro.2010.03.995
   Google Scholar
• Van Vugt, H. C., Hoorn, J. F., & Konijn, E. A. (2009). Interactive engagement with embodies agents: An empirically validated framework. Computer Animation and Virtual Worlds,20, 195–204. doi: 10.1002/cav.312
   Web of Science ®Google Scholar
• Van Vugt, H. C., Konijn, E. A., Hoorn, J. F., Keur, I., & Eliens, A. (2006). Realism is not all! User engagement with task-related interface characters. Interacting with Computers, 19(2), 267–280. http://dx.doi.org/10.1016/j.intcom.2006.08.005
   Google Scholar
• Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17. http://www.jstor.org/stable/30161971
   Google Scholar
• Vieira, V. A. (2010). Visual aesthetics in store environment and its moderating role on consumer intention. Journal of Consumer Behaviour, 9, 364–380. doi: 10.1002/cb.324
   Web of Science ®Google Scholar
• Vorderer, P. (1992). Watching television as action: Reception of TV movies from the perspective of motivational psychology. Berlin: Edition Sigma.
   Google Scholar
• Wang, Y. J., Minor, M. S., & Wei, J. (2011). Aesthetics and the online shopping environment: Understanding consumer responses. Journal of Retailing, 87(1), 46–58. http://dx.doi.org/10.1016/j.jretai.2010.09.002
   Google Scholar
• Weibel, D., & Wissmath, B. (2011). Immersion in computer games: The role of spatial presence and flow. International Journal of Computer Games Technology, 1–14. doi: 10.1155/2011/282345
   Google Scholar
• Wetzels, M., Odekerken-Schroder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177–196. http://links.emeraldinsight.com/ref/38AJ035
   Web of Science ®Google Scholar
• Xanthopoulou, D., & Papagiannidis, S. (2011). Play online, work better? Spillover of active learning and transformational leadership. Paper presented at the European Association of Work and Organizational Psychology 2011.
   Google Scholar
• Yang, H. E., & Wu, C. C. (2009). Effects of image interactivity technology adoption on e-shoppers’ behavioural intentions with risk as moderator. Production Planning and Control, 20(4), 370–382. doi: 10.1080/09537280902843755
   Web of Science ®Google Scholar