The Effect of TV and Online Shopping Value on Online Patronage Intention in a Multi-channel Retail Context
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The Effect of TV and Online Shopping Value on Online Patronage Intention in a Multi-channel Retail Context

Authors: Hsin-Hui Lin

Abstract:

With the proliferation of multi-channel retailing, developing a better understanding of the factors that affect customers- purchase behaviors within a multi-channel retail context has become an important topic for practitioners and academics. While many studies have investigated the various customer behaviors associated with brick-and-mortar retailing, online retailing, and brick-and-click retailing, little research has explored how customer shopping value perceptions influence online purchase behaviors within the TV-and-online retail environment. The main purpose of this study is to investigate the influence of TV and online shopping values on online patronage intention. Data collected from 116 respondents in Taiwan are tested against the research model using the partial least squares (PLS) approach. The results indicate that utilitarian and hedonic TV shopping values have indirect, positive influences on online patronage intention through their online counterparts in the TV-and-online retail context. The findings of this study provide several important theoretical and practical implications for multi-channel retailing.

Keywords: Multi-channel retailing, utilitarian shopping value, hedonic shopping value, online purchase

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329132

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[1] Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., and Wood, S. Interactive home shopping, consumer, retailer and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, 61, 3, 1997, 38-53.
[2] Babin, B.J. and Attaway, J.S. Atmospheric affect as a tool for creating value and gaining share of customer. Journal of Business Research, 49, 2, 2000, 91-99.
[3] Babin, B.J. and Darden, W.R. Consumer self-regulation in a retail environment. Journal of Retailing, 71, 1, 1995, 47-70.
[4] Babin, B.J., Darden, W.R., Griffin, M. Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20, 4, 1994, 644-656.
[5] Babin, B.J., Lee, Y.-K., Kim, E.-J., Griffin, M. Modeling consumer satisfaction and word-of-mouth: Restaurant patronage in Korea. Journal of Services Marketing, 19, 3, 2005, 133-139.
[6] Balasubramanian, S., Raghunathan, R., Mahajan, V. Consumers in a multichannel environment: Product utility, process utility, and channel choice. Journal of Interactive Marketing, 19, 2, 2005, 12-30.
[7] Bohmstedt, G.W. Reliability and validity assessment in attitude measurement. In: G.F. Summers, Editor. Attitude Measurement. Chicago: Rand-McNally, 1970, 80-99.
[8] Cai, S. and Xu, Y. Effects of outcome, process and shopping enjoyment on online consumer behaviour. Electronic Commerce Research and Applications, 5, 4, 2006, 272-281.
[9] Carpenter, J.M. Consumer shopping value, satisfaction and loyalty in discount retailing. Journal of Retailing and Consumer Services, 15, 5, 2008, 358-363.
[10] Carpenter, J.M. and Moore, M. Utilitarian and hedonic shopping value in the US discount sector. Journal of Retailing and Consumer Services, 16, 1, 2009, 68-74.
[11] Chandon, P., Wansink, B., and Laurent, G. A benefit congruency framework of sales promotion and effectiveness. Journal of Marketing, 64, 4, 2000, 65-81.
[12] Chen, Y.-C., Shang, R.-A., and Lin, A.-K. The intention to download music files in a P2P environment: Consumption value, fashion, and ethical decision perspectives. Electronic Commerce Research and Applications, 7, 4, 2008, 411-422.
[13] Chin, W.W. Issues and opinion on structural equation modeling. MIS Quarterly, 22, 1, 1998, 7-16.
[14] Chiou, J.-S. The antecedents of consumers- loyalty toward Internet service providers. Information & Management, 41, 6, 2004, 685-695.
[15] DeLone, W.H. and McLean, E.R. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19, 4, 2003, 9-30.
[16] DeLone, W.H. and McLean, E.R. Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 9, 1, 2004, 31-47.
[17] Dholakia, R., Zhao, M., Dholakia, N. Multichannel retailing: A case study of early experiences. Journal of Interactive Marketing, 19, 2, 2005, 63-74.
[18] Donovan, R.J. and Rossiter, J.R. Store atmosphere: an environmental psychology approach. Journal of Retailing, 58, 1, 1982, 34-57.
[19] Fornell, C. and Larcker, D.F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 1, 1981, 39-50.
[20] Gefen, D., Karahanna, E., and Straub, D.W. Trust and TAM in online shopping: an integrated model. MIS Quarterly, 27, 1, 2003, 51-90.
[21] Grewal, D., Iyer, G.R., Krishnan, R., and Sharma, A. The Internet and the price-value-loyalty chain. Journal of Business Research, 56, 5, 2003, 391-398.
[22] Griffin, M. Babin, B.J., and Modianos, D. Shopping values of Russian consumers: the impact of habituation in a developing economy. Journal of Retailing, 76, 1, 2000, 33-52.
[23] Gutiérrez, S.S.M., Izquierdo, C.C., and Cabezudo, R.S.J. Product and channel-related risk and involvement in online contexts. Electronic Commerce Research and Applications, in press.
[24] Holbrook, M.B. The nature of customer value: An axiology of service in the consumption experience. In: Roland T. Rust and Richard L. Oliver, editors. Service quality: New directions in theory and practice. Thousand Oaks (CA): Sage Publications, 1994, 21-71.
[25] Holbrook, M.B. Introduction to consumer value. In: Holbrook Morris B, editor. Consumer value: A framework for analysis and research. New York: Routledge, 1999, 1-28.
[26] Holbrook, M.B. and Hirschman, E.C. The experiential aspects of consumption: consumer fantasies, feelings, and fun. Journal of Consumer Research, 9, 2, 1982, 132-140.
[27] Jarvenpaa, S.L. and Todd, P.A. Consumer reactions to electronic shopping on the World Wide Web. International Journal of Electronic Commerce, 1, 2, 1997, 59-88.
[28] Jones, M.A., Reynolds, K.E., and Arnold, M.J. Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes. Journal of Business Research, 59, 9, 2006, 974-981.
[29] Kim, Y.-K. Consumer value: An application to mall and Internet shopping. International Journal of Retail & Distribution Management, 30, 12, 2002, 595-602.
[30] Klein, L.R. and Ford, G. T. Consumer search for information in the digital age: An empirical study of prepurchase search for automobiles. Journal of Interactive Marketing, 17, 3, 2003, 29-49.
[31] Koo, D.-M. The fundamental reasons of e-consumers- loyalty to an online store. Electronic Commerce Research and Applications, 5, 2, 2006, 117-130.
[32] Lee, H.-H. and Kim, J. The effects of shopping orientations on consumers- satisfaction with product search and purchases in a multi-channel environment. Journal of Fashion Marketing and Management, 12, 2, 2008, 193-216.
[33] Lin, H.-H. and Wang, Y.-S. An examination of the determinants of customer loyalty in mobile commerce contexts. Information & Management, 43, 3, 2006, 271-282.
[34] Market update. http://www.tourism.australia.com/content/Market%20Updates/2009/ Quarterly_june_july_aug09/Taiwan.pdf, 2009.
[35] Mathwick, C., Malhotra, N., Rigdon, E. Experiential value: Conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77, 1, 2001, 39-56.
[36] Mathwick, C., Malhotra, N.K., Rigdon, E. The effect of dynamic retail experiences on experiential perceptions of value: An Internet and catalog comparison. Journal of Retailing, 78, 1, 2002, 51-60.
[37] Moon, J. and Kim, Y. Extending the TAM for a world-wide-web context. Information & Management, 38, 4, 2001, 217-230.
[38] Neslin, S.A, Grewal, D., Leghorn, R., Shankar, V., Teerling, M.L., Thomas, J.S., and Verhoef, P.C. Challenges and opportunities in multichannel customer management. Journal of Service Research, 9, 2, 2006, 95-112.
[39] Noble, S.M., Griffith, D.A., Weinberger, M.G. Consumer derived utilitarian value and channel utilization in a multi-channel retail context. Journal of Business Research, 58, 12, 2005, 1643-1651.
[40] Oliver, R.L. Measurement and evaluation of satisfaction process in retail setting. Journal of Retailing, 57, 3, 1981, 25-48.
[41] Oliver, R.L. Satisfaction: A Behavioral Perspective on the Customer, McGraw-Hill, New York, NY, 1996.
[42] Overby, J.W. and Lee, E.J. The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59, 10-11, 2006, 1160-1166.
[43] Patterson, P.G., & Spreng, R.A. Modeling the relationship between perceived value, satisfaction and repurchase intentions in a business-business, services context: an empirical examination. International Journal of Service Industry Management, 8, 5, 1997, 414-434.
[44] Rangaswamy, A. and Van Bruggen, G.H. Opportunities and challenges in multichannel marketing: An introduction to the special issue. Journal of Interactive Marketing, 19, 2, 2005, 5-11.
[45] Sanchez-Franco, M.J. and Rondan-Catalu├▒a, F.J. Virtual travel communities and customer loyalty: Customer purchase involvement and web site design. Electronic Commerce Research and Applications, 9, 2, 2010, 171-182.
[46] Schröder, H. and Zaharia, S. Linking multi-channel customer behavior with shopping motives: An empirical investigation of a German retailer. Journal of Retailing and Consumer Service, 15, 6, 2008, 452-468.
[47] Sicilia, M. and Ruiz, S. The effects of the amount of information on cognitive responses in online purchasing tasks. Electronic Commerce Research and Applications, 9, 2, 2010, 183-191.
[48] Sweeney, J.C. and Soutar, G.N. Consumer perceived value: The development of a multiple item scale. Journal of Retailing, 77, 2, 2001, 203-220.
[49] Teo, T.S.H. Deomographic and motivation variables associated Internet usage activities. Internet Research: Electronic Networking Applications and Policy, 11, 2, 2001, 125-137.
[50] To, P.-L., Liao, C., and Lin, T.-H. Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27, 12, 2007, 774-787.
[51] Van Baal, S. and Dach, C. Free riding and customer retention across retailers- channels. Journal of Interactive Marketing, 19, 2, 2005, 75-85.
[52] Venkatesh, V. and Davis, F.D. A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27, 3, 1996, 451-481.
[53] Venkatesh, V. and Davis, F.D. A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46, 2, 2000, 186-204.
[54] Venkatesh, V., Morris, M.G., Davis, G.B., and Davis, F.D. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 3, 2003, 425-478.
[55] Verhagen, T. and van Dolen, W. Online purchase intentions: A multi-channel store image perspective. Information & Management, 46, 2, 2009, 77-82.
[56] Wakefield, K.L. and Barnes, J.H. Retailing hedonic consumption: a model of sales promotion of a leisure service. Journal of Retailing, 72, 4, 1996, 409-427.
[57] Wang, Y.-S. Assessing e-commerce systems success: A respecification and validation of the DeLone and McLean model of IS success. Information Systems Journal, 18, 5, 2008, 529-557.
[58] Woodruff, R.B. Customer value: the next source for competitive advantage. Journal of the Academy of Marketing Science, 25, 2, 1997, 139-153.
[59] Zeithaml, V.A. Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing, 52, 3, 1988, 2-22.