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  • P-ISSN2765-6934
  • E-ISSN2765-7027
  • KCI

Consumer Characteristics and Shopping for Fashion in the Omni-channel Retail Environment

Asian Journal of Business Environment / Asian Journal of Business Environment, (P)2765-6934; (E)2765-7027
2019, v.9 no.4, pp.15-22
Jay-Sang Ryu (Texas Christian University)

Abstract

Purpose: Omni-channel retailing is a new retail phenomenon. Consumers in the omni-channel environment do not rely on one channel but integrate different channels from the same retailers freely during a particular shopping journey. The purpose of this study is to better understand omni-channel shoppers in the fashion retailing context. The present study uses consumer characteristics -- fashion innovativeness, technology innovativeness, and fashion purchase involvement -- as determinants predicting consumers’ omni-channel shopping intentions for fashion products. Research design, data, and methodology: Data were collected from 403 U.S. consumers, and the Structural Equation Modeling (SEM) was performed to test proposed hypotheses. The survey for this research consisted of three parts. The first part measured consumer traits in terms of their innovativeness and purchase involvement. The second part was designed to measure consumers’ omni-channel shopping intentions, and the third part gathered consumer demographic information. Results: The findings confirmed that fashion innovativeness, technology innovativeness, and fashion purchase involvement positively affected consumers’ omni-channel shopping intentions. Conclusions: Fashion retailers should integrate various customer touchpoints and offer mobile-enabled technologies to boost consumer traffic to both online and offline stores. They also need to create a shopping environment that is optimized for customer engagement in various shopping processes and allow them to explore different shopping channel options for best purchase decisions.

keywords
Omni-channel shopping, Fashion Innovativeness, Technology Innovativeness, Purchase Involvement, Fashion Retailing.

Reference

1.

Ailawadi, K.L., & Farris, P.W. (2017). Managing multi- and omni-channel distribution:Metrics and research directions. Journal of Retailing, 93(1), 120-135.

2.

Amornpashara, N., Rompho, N., & Phadoongsitthi, M. (2015). A study of the relationship between using Instagram and purchase intention. Journal of Global Business Advancement, 8(3), 354-370.

3.

Anderson, J., & Gerbing, D. (1988). Structural equation modeling in practice: A review and recommended twostep approach. Psychological Bulletin, 103(3), 411-423.

4.

Bagze, P. (2015). Integration of technology readiness (TR)into the technology acceptance model (TAM) for m-shopping. International Journal of Scientific Research and Innovative Technology, 2(3). 26-35.

5.

Beatty, S.E., & Smith, S.M. (1987). External search effort:An investigation across several product categories. Journal of Consumer Research, 14, 83-95.

6.

Boyle, R. & Ruppel, C.P. (2006). The effects of personal innovativeness, perceived risk, and computer self-efficacy on online purchasing intent. Journal of International Technology and Information Management, 15(2), 61-73.

7.

Browne, B.A., & Kaldenberg, D.O. (1997). Conceptualizing self-monitoring: Links to materialism and product involvement. Journal of Consumer Marketing, 14(1), 31-44.

8.

Celik, H., & Kocaman, R (2017). Roles of self-monitoring, fashion involvement and technology readiness in an individual’s propensity to use mobile shopping. Journal of Systems and Information Technology, 19(3/4), 166-182.

9.

Cardoso, C.R., Costa, H.S., & Novais, L.A. (2010). Fashion consumer profiles in the Portuguese market: Involvement, innovativeness, self-expression and impulsiveness as segmentation. International Journal of Consumers Studies, 34, 638-647.

10.

Cho, S., & Workman, J. (2011). Gender, fashion innovativeness and opinion leadership, and need for touch: Effects on multi-channel choice and touch/nontouch preference in clothing shopping. Journal of Fashion Marketing and Management, 15(3), 363-382.

11.

Choo, H.J., Sim, S.Y., Lee, H.K., & Kim, H.B. (2014). The effect of consumers’ involvement and innovativeness on the utilization of fashion wardrobe. International Journal of Consumer Studies, 38, 175-182.

12.

Cummins, A., Peltier, J.W., & Dixon, A. (2016). Omnichannel research framework in the context of personal selling and sales management: A review and research extensions. Journal of Research in Interactive Marketing, 10(1), 2016, 2-16.

13.

Fishbein, M, & Ajzen, I. (1975). Belief, Attitude, Intentions and Behavior: An Introduction to Theory and Research. Reading, MA: Addision-Wesley.

14.

Goldsmith, R.E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221.

15.

Gurecini, S., Mir Bernal, P., & Prentice, C. (2018). New marketing in fashion e-commerce. Journal of Global Fashion Marketing, 9(1), 1-8.

16.

Hawkins, D.I, Best, R.J., & Coney, K.A. (1986). Consumer behavior: Implications for marketing strategy. Plano, TX:Business Publications.

17.

Holmes, A., Bryne, A., & Rowley, J. (2013). Mobile shopping behavior: Insights into attitudes, shopping process involvement and location. International Journal of Retail &Distribution Management, 42(1), 25-39.

18.

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), 1-55.

19.

Huré, E., Picot-Coupey, K., & Ackermann, C.-L. (2017). Understanding omni-channel shopping value: A mixedmethod study. Journal of Retailing and Consumer Services, 39, 314-330.

20.

Jai, T.-M., & Tung, T. (2015). Fashion innovativeness, information technology innovativeness, and prior experience as factors influencing adoption of apparel mobile e-catalogs. Journal of Global Fashion Marketing, 6(3), 163-179.

21.

Johnson, C., Banks, L., Smith, D., & Seo, J.-I. (2017). The effect of product involvement onstore preference and clothing benefits sought for African-American female students. Journal of Applied Business Research, 33(1), 107-114.

22.

Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omni-channel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7, 1-11.

23.

Jun, D.G., & Rhee, E.Y. (2009). The effects of fashion innovativeness and style-innovation attributes on fashion adoption. Journal of the Korean Society of Clothing and Textiles, 33, 1564-1574.

24.

Kim, W., Di Benedetto, C.A., & Hunt, J.M. (2017). Consumer innovativeness and international consumer behavior:Comments and extensions. Journal of Global Scholars of Marketing Science, 27(3), 184-194.

25.

Kline, R.B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford Press.

26.

Lazaris, C., & Vrechopoulos, A. (2014). From multichannel to “omnichannel” retailing: Review of the literature and calls for research. Paper presented at the 2nd International Conference on Contemporary Marketing Issues (ICCMI), Athens, Greece.

27.

Ling, M.X., & Yuan, P. (2012). An empirical research:Consumer intention to use smartphone based on consumer innovativeness. Paper presented at the 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet) (pp.2368-2371).

28.

Lu, J. (2014). Are personal innovativeness and social influence critical to continue with mobile commerce? Internet Research, 24(2), 134-159.

29.

Madahi, A., & Sukati, I. (2016). Determinants of the channel selection and choice intention: A marketing perspective. Journal of Global Business Advancement, 9(4), 357-389.

30.

Matsunaga, M. (2010). How to factor-analyze your data right:Do s, don’ts, and how-to s. International Journal of Psychological Research, 3(1), 97-110.

31.

Mittal, B. (1989). Measuring purchase-decision involvement. Psychology & Marketing, 6(2), 147-162.

32.

Mummalaneni, V., Meng, J., & Elliott, K.M. (2016). Consumer technology readiness and e-service quality in e-tailing: What is the impact on predicting online purchasing? Journal of Internet Commerce, 15(4), 311-331.

33.

O’Cass, A. (2004). Fashion clothing consumption:Antecedents and consequences of fashion clothing involvement. European Journal of Marketing, 38(7), 869-882.

34.

Otieno, O.C., Liyala, S., Odongo, B.C., & Abeka, S. (2016). Theory of reasoned action as an underpinning to technological innovation adoption studies. World Journal of Computer Application and Technology, 4(1), 1-7.

35.

Parasuraman, A. (2000). Technology readiness index (TRI):A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.

36.

Rippé, C.B, Weisfeld-Spolter, S., Yorova, Y., & Sussan, F. (2015). Is there a global multichannel consumer? International Marketing Review, 32, 329-349.

37.

Ryu, J.S. (2011). Consumer attitudes and shopping intentions toward pop-up fashion stores. Journal of Global Fashion Marketing, 2(3), 139-147.

38.

Ryu, J.S., & Murdock, K. (2013). Consumer acceptance of mobile marketing communications using the QR code. Journal of Direct, Data and Digital Marketing Practice, 15(2), 111-124.

39.

Saghiri, S., Wilding, R. Mena, C., & Bourlakis, M. (2017). Toward a three-dimensional framework for omni-channel. Journal of Business Research, 77, 53-67.

40.

Sopadjieva, E., Dholakia, U.M., & Benjamin, B. (2017). A study of 46,000 shoppers shows that omni-channel retailing works. Harvard Business Review. Retrieved on April 22, 2018, from https://hbr.org/2017/01/a-study-of-46000-shoppers-shows-that-omni-channel-retailing-works.

41.

Steiger, J.H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893-898.

42.

Tajeddini, K., & Nikdavoodi, J.N. (2014). Cosmetic buying behaviour: Examining the effective factors. Journal of Global Scholars of Marketing Science, 24(4), 395-410.

43.

van Delft, W.C.J.M. (2013). Omni channel shopping behavior during the customer journey. Eindhoven, Netherlands: Eindhoven University of Technology.

44.

Verhagen, T., Boter, J., & Adelaar, T. (2010). The effect of product type on consumer preferences for website content elements: An empirical study. Journal of Computer-Mediated Communication, 16, 139-170.

45.

Verhoef, P.C., Kannan, P.K., & Inman, J.J. (2015). From multi-channel retailing to omni-channel retailing:Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174-181.

46.

Yurova, Y., Rippé, C.B., Weisfeld-Spolter, S., Sussan, F., &Arndt, A. (2017). Not all adaptive selling to omniconsumers is influential: The moderating effect of product type. Journal of Retailing and Consumer Service, 34, 271-277.

Asian Journal of Business Environment