Determining Antecedents to Omnichannel Shopping Intention Among Fast Fashion Consumers in Thailand: A Mixed Methods Approach

Authors

  • Wisuta Jaengprajak Assumption University
  • Sirion Chaipoopirutana Assumption University

DOI:

https://doi.org/10.14456/abacj.2022.2
CITATION
DOI: 10.14456/abacj.2022.2
Published: 2022-04-30

Abstract

The purpose of this study was to investigate the relationship between the variables of customer experience, personal innovativeness, perceived innovation characteristics, perceived risk, attitude, and omnichannel shopping intentions, among fast fashion consumers in Thailand. A mixed methods approach was applied to develop the study’s research instrument, conducting a pilot study and focus group interviews. Data were subsequently collected from 690 fast fashion consumers with experience in using omnichannel retail services in Thailand, using online questionnaires and convenience sampling. However, only 449 responses were deemed usable for the analysis which used Mixed Methods research techniques, Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM). Results revealed that only personal innovativeness, perceived innovation characteristics, and attitude, had a significant statistical relationship with omnichannel shopping intentions, while no significant relationship was found for customer experience and perceived risk. Findings also verified that the relationship between omnichannel shopping intentions and customer experience, as well as the relationship with personal innovativeness, was mediated by perceived innovation characteristics. Additionally, new sets of sub-variables were identified for customer experience and perceived innovation characteristics that were unique to the Thai culture and retail context using mixed methods and EFA. It was found that there were seven dimensions of omnichannel customer experience, namely consistency, connectivity, personalisation, accessibility, order fulfilment, flexibility, and retailer responsiveness. Regarding perceived innovation characteristics, the study confirmed that usefulness, compatibility, and ease of use, remained suitable subcomponents.

References

Agarwal, R., and Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204-215.

Amaro, S., and Duarte, P. (2015). An integrative model of consumers' intentions to purchase travel online. Tourism Management, 46, 64-79. https://doi.org/10.1016/j.tourman.2014.06.006

Anderson, J. C., and Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411

Bauer, R. A. (1960). Consumer Behavior as Risk Taking. In R. S. Hancock (Ed.), Dynamic Marketing for a Changing World: Proceedings of the 43rd National Conference of the American Marketing Association (pp. 389-398). Marketing Classics Press.

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

Berg, U., and Tornblad, J. (2017). Decorating omnichannels - Shedding light on the consumer perspective on omnichannel behavior. [Master's thesis, Uppsala University]. Uppsala University. https://uu.diva-portal.org/smash/get/diva2:1115471/FULLTEXT01.pdf

Berry, L. L., Carbone, L. P., and Haeckel, S. H. (2002). Managing the Total Customer Experience. MIT Sloan Management Review, 43(3), 85-89.

Berry, L. L., Wall, E. A., and Carbone, L. P. (2006). Service Clues and Customer Assessment of the Service Experience: Lessons from Marketing. The Academy of Management Perspectives, 20(2), 43–57. https://doi.org/10.5465/AMP.2006.20591004.

Bitner, M. J. (1992). Servicescapes: The Impact of Physical Surroundings on Customers and Employees. Journal of Marketing, 56(2), 57-71. https://doi.org/10.1177/002224299205 600205.

Cai, Y. J., and Lo, C. K. Y. (2020). Omni-channel management in the new retailing era: A systematic review and future research agenda. International Journal of Production Economics, 229, 1-16. https://doi.org/10.1016/j.ijpe.2020.107729.

Carbone, L. P., and Haeckel, S. H. (1994). Engineering Customer Experiences. Marketing Management, 3(3), 8-19.

Chaipoopirutana, S. (2018). Mixed Methods Research and Structural Equation Model: Measurement and Structural Model. Digital Production University.

Chang, H. J., Eckman, M., and Yan, R. N. (2011). Application of the Stimulus-Organism-Response model to the retail environment: the role of hedonic motivation in impulse buying behavior. The International Review of Retail, Distribution and Consumer Research, 21(3), 233–249. https://doi.org/10.1080/09593969.2011.578798.

Cheah, J. H., Lim, X. J., Ting, H., Liu, Y., and Quach, S. (2020). Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing. Journal of Retailing and Consumer Services, (102242). https://doi.org/10.1016/j.jretconser.2020.102242.

Cheng, Y. M. (2014). Exploring the intention to use mobile learning: the moderating role of personal innovativeness. Journal of Systems and Information Technology, 16(1), 40-61. https://doi.org/10.1108/JSIT-05-2013-0012.

Chiu, Y. B., Lin, C. P., and Tang, L. L. (2005). Gender differs: assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416-435.

Creswell, J. W. (2003). Research design: Qualitative, quantitative, and mixed methods approaches (2nd ed.). SAGE Publications, Inc.

Creswell, J. W. (2009). Research design: Qualitative, quantitative, and mixed methods approaches (3rd ed.). Sage Publications, Inc.

Dabrynin, H., and Zhang, J. (2019). The Investigation of the Online Customer Experience and Perceived Risk on Purchase Intention in China. Journal of Marketing Development and Competitiveness, 13(2), 16-30. https://doi.org/10.33423/jmdc.v13i2.2005.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.

Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487. https://doi.org/10.1006/imms.1993.1022.

Davis, F. D., Bagozzi, R. P., and Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003.

Donovan, R. J., and Rossiter, J. R. (1982). Store Atmosphere: An Environmental Psychology Approach. Journal of retailing, 58(1), 34-57.

Doolin, B., Dillon, S., Thompson, F., and Corner, J. L. (2005). Perceived Risk, the Internet Shopping Experience and Online Purchasing Behavior. Journal of Global Information Management, 13(2), 66-88. https://doi:10.4018/jgim.2005040104

Eroglu, S. A., Machleit, K. A., and Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business Research, 54(2), 177-184. https://doi.org/10.1016/S0148-2963(99)00087-9.

Featherman, M. S., and Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3.

Fishbein, M., and Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.

Fishbein, M. (1963). An Investigation of the Relationships between Beliefs about an Object and the Attitude toward that Object. Human Relations, 16(3), 233-239. https://doi.org/10. 1177/001872676301600302.

Forsythe, S., Liu, C., Shannon, D., and Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of Interactive Marketing, 20(2), 55-75. https://doi.org/10.1002/dir.20061.

Giovanis, A. N., Binioris, S., and Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24-53.

Herhausen, D., Binder, J., Schoegel, M., and Herrmann, A. (2015). Integrating Bricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online–Offline Channel Integration. Journal of Retailing, 91(2), 309-325. https://doi.org/10.1016/j.jretai.2014.12.009.

Herrero Crespo, Á., del Bosque, I. R., and de los Salmones Sánchez, M. M. G. (2009). The influence of perceived risk on Internet shopping behavior: a multidimensional perspective. Journal of Risk Research, 12(2), 259-277. https://doi.org/10.1080/13669870802497744.

Hilken, T., Heller, J., Chylinski, M., Keeling, D. I., Mahr, D., and de Ruyter, K. (2018). Making omnichannel an augmented reality: the current and future state of the art. Journal of Research in Interactive Marketing, 12(4), 509-523. https://doi.org/10.1108/JRIM-01-2018-0023.

Hong, J. M., and Shin, S. Y. (2018). Effects of Omni Channel Characteristics on Perceived Value, Attitude, and Intention of Consumers. Journal of the Korean Society of Clothing and Textiles, 42(1), 183-194.

Hopwood C. J., and Donnellan, M. B. (2010). How Should the Internal Structure of Personality Inventories Be Evaluated? Personality and Social Psychology Review, 14(3), 332-346. https://doi.org/10.1177/1088868310361240

Hsu, H. Y., and Tsou, H. (2011). Understanding customer experiences in online blog environments. International Journal of Information Management, 31(6), 510-523. https://doi.org/10.1016/j.ijinfomgt.2011.05.003.

Jain, R., Aagja, J., and Bagdare, S. (2017). Customer experience – a review and research agenda. Journal of Service Theory and Practice, 27(3), 642-662.

Jarvenpaa, S. L., and Todd, P. A. (1997). Is there a future for retailing on the Internet?. In R. A. Peterson (Ed.), Electronic Marketing and the Consumer (pp. 139-154). SAGE Publications, Inc.

Jocevski, M., Arvidsson, N., Miragliotta, G., Ghezzi, A., and Mangiaracina, R. (2019). Transitions towards omni-channel retailing strategies: a business model perspective. International Journal of Retail & Distribution Management, 47(2), 78-93.

Juaneda-Ayensa, E., Mosquera, A., and Sierra Murillo, Y. (2016). Omnichannel Customer Behavior: Key Drivers of Technology Acceptance and Use and Their Effects on Purchase Intention. Frontiers in Psychology, 7(1117), 1-11.

Kang, J. M. (2019). What drives omnichannel shopping behaviors? - Fashion lifestyle of social-local-mobile consumers. Journal of Fashion Marketing and Management, 23(2), 224-238.

Kaushik, A. R., and Rahman, Z. (2015). An alternative model of self-service retail technology adoption. Journal of Services Marketing, 29(5), 406–420.

Kazancoglu, I., and Aydin, H. (2018). An investigation of consumers’ purchase intentions towards omni-channel shopping - A qualitative exploratory study. International Journal of Retail & Distribution Management, 46(10), 959-976.

Khare, A., and Rakesh, S. (2011). Antecedents of Online Shopping Behavior in India: An Examination. Journal of Internet Commerce, 10(4), 227-244. https://doi.org/10.1080/ 15332861.2011.622691.

Kuhlmeier, D., and Knight, G. (2005). Antecedents to internet‐based purchasing: A multinational study. International Marketing Review, 22(4), 460–473. https://10.1108/02651330510608460

Lemon, K. N., and Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69-96. https://doi.org/10.1509/jm.15.0420.

Liang, T., and Huang, J. (1998). An empirical study on consumer acceptance of products in electronic markets: A transaction cost model. Decision Support Systems, 24(1), 29–43. https://doi:10.1016/s0167-9236(98)00061-x

Marriott, H. R., and Williams, M. D. (2018). Enhancing the Customer Experience: Understanding UK Consumers’ M-Shopping Adoption Intention. In N. Krey and P. Rossi (Ed.), Boundary Blurred: A Seamless Customer Experience in Virtual and Real Spaces. Developments in Marketing Science: Proceedings of the Academy of Marketing Science.

Mehrabian, A., and Russell, J. A. (1974). An Approach to Environmental Psychology. The MIT Press.

Midgley, D. F., and Dowling, G. R. (1978). Innovativeness: The Concept and Its Measurement. Journal of Consumer Research, 4(4), 229–242.

Moore, G. C., and Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Information Systems Research, 2(3), 173-239.

Mulaik, S. A., James, L. R., Van Alstine, J., Bennett, N., Lind, S., and Stilwell, C. D. (1989). Evaluation of goodness-of-fit indices for structural equation models. Psychological Bulletin, 105(3), 430–445. https://doi.org/10.1037/0033-2909.105.3.430

Pantano, E., and Viassone, M. (2015). Engaging consumers on new integrated multichannel retail settings: Challenges for retailers. Journal of Retailing and Consumer Services, 25, 106-114. https://doi.org/10.1016/j.jretconser.2015.04.003.

Pantano, E., Rese, A., and Baier, D.

(2017). Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets. Journal of Retailing and Consumer Services, 38, 81–95. https://doi.org/10.1016/j.jretconser.2017.05.011.

Pechtl, H. (2010). Adoption of online shopping by German grocery shoppers. The International Review of Retail, Distribution and Consumer Research, 13(2), 145-159. https://doi.org/10. 1080/0959396032000099088.

Peter, J. P, and Ryan, M. J. (1976). An Investigation of Perceived Risk at the Brand Level. Journal of Marketing Research, 13(2), 184-188. https://doi.org/10.1177/002224377601300210.

Picot-Coupey, K., Huré, E., and Piveteau, L. (2016). Channel design to enrich customers’ shopping experiences: Synchronizing clicks with bricks in an omni-channel perspective – the Direct Optic case. International Journal of Retail & Distribution Management, 44(3), 336-368.

Pine, B. J., and Gilmore, J. H. (1998, July - August). Welcome to the Experience Economy. Harvard Business Publishing. https://hbr.org/1998/07/welcome-to-the-experience-economy

Piotrowicz, W., and Cuthbertson, R. (2014). Introduction to the Special Issue Information Technology in Retail: Toward Omnichannel Retailing. International Journal of Electronic Commerce, 18(4), 5-16.

Quach, S., Barari, M., Moudrý, D. V., and Quach, K. (2020). Service integration in omnichannel retailing and its impact on customer experience. Journal of Retailing and Consumer Services, 102267.

Rigby, D. K. (2011). The Future of Shopping. https://hbr.org/2011/12/the-future-of-shopping.

Rogers, E. M. (1962). Diffusion of innovations (1st ed.). Free Press.

Rogers, E. M. (1983). Diffusion of innovations (3rd ed.). Free Press.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Rogers, E. M., and Shoemaker, F. F. (1971). Communication of Innovations: A Cross-Cultural Approach (2nd ed.). Free Press.

Roskos-Ewoldsen, D. R. (2014). Attitudes. In W. Donsbach (Ed.), The International Encyclopedia of Communication (2nd ed., pp. 1-5). John Wiley & Sons, Ltd.

Samuel, L. H. S., Balaji, M. S., and Kok Wei, K. (2015). An Investigation of Online Shopping Experience on Trust and Behavioral Intentions. Journal of Internet Commerce, 14(2), 233-254. https://doi.org/10.1080/15332861.2015.1028250.

Schumacker, R. E., and Lomax, R. G. (2016). A Beginner’s Guide to Structural Equation Modeling (4th Ed.). Routledge.

Seckler, V. (2000, July). Survey says

web apparel buys doubled. Women’s Wear Daily, 180 (6), 2.

Shen, X. L., Li, Y. J., Sun, Y., and Wang, N. (2018). Channel integration quality, perceived fluency and omnichannel service usage: The moderating roles of internal and external usage experience. Decision Support Systems, 109(2018), 61–73. https://doi.org/10.1016/ j.dss.2018.01.006.

Shi, S., Wang, Y., Chen, X., and Zhang, Q. (2020). Conceptualization of omnichannel customer experience and its impact on shopping intention: A mixed-method approach. International Journal of Information Management, 50(2020), 325-336.

Silva, S. C., Martins, C. C., and Sousa, J. M. (2018). Omnichannel approach: Factors affecting consumer acceptance. Journal of Marketing Channels, 25(1-2), 73–84.

Simpson, P.M., Siguaw, J.A., and Cadogan, J.W. (2008). Understanding the consumer propensity to observe. European Journal of Marketing, 42(1/2), 196-221. https://doi.org/ 10.1108/03090560810840970.

Soper, D. S. (2019). A-priori Sample Size Calculator for Structural Equation Models [Software], accessed on 09 November 2020, from https://www.danielsoper.com/statcalc/calculator.aspx?id=89

Su, P., Wang, L., and Yan, J. (2018). How users’ Internet experience affects the adoption of mobile payment: a mediation model. Technology Analysis & Strategic Management, 30(2), 186-197.

Tabachnick, B. G., and Fidell, L. S. (2007). Using multivariate statistics (5th ed.). Allyn & Bacon/Pearson Education.

Terblanche, N. S., and Boshoff, C. (2001). Measuring customer satisfaction with some of the controllable elements of the total retail experience: an exploratory study. South African Journal of Business Management, 32(2), 35-42. https://doi.org/10.4102/sajbm.v32i2.719.

Thakur, R., and Srivastava, M. (2015). A study on the impact of consumer risk perception and innovativeness on online shopping in India. International Journal of Retail & Distribution Management, 43(2), 148-166. https://doi.org/10.1108/IJRDM-06-2013-0128.

Truong, T. H. H. (2020). The drivers of omni-channel shopping intention: a case study for fashion retailing sector in Danang, Vietnam. Journal of Asian Business and Economic Studies, ahead-of-print. https://doi.org/10.1108/JABES-05-2020-0053.

Van Baal, S., and Dach, C. (2005). Free riding and customer retention across retailers’ channels. Journal of Interactive Marketing, 19(2), 75-85. https://doi.org/10.1002/dir.20036.

Verhoef, P. C., Neslin, S. A., and

Vroomen, B. (2007). Multichannel customer management: Understanding the research-shopper phenomenon. International Journal of Research in Marketing, 24, 129–148.

Wu, J. H., and Wang, S. C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & Management, 42(5), 719-729. https://doi.org/10.1016/j.im.2004.07.001.

Yang, Y., Gong, Y., Land, L. P., and Chesney, T. (2020). Understanding the effects of physical experience and information integration on consumer use of online to offline commerce. International Journal of Information Management, 51. https://doi.org/10.1016/j.ijinfom gt.2019.102046.

Yang, Z. Y., and He, L. Y. (2011). Goal, customer experience and purchase intention in a retail context in China: An empirical study. African Journal of Business Management, 5(16), 6738-6746.

Yi, M. Y., Fiedler, K. D., and Park, J. S. (2006). Understanding the Role of Individual Innovativeness in the Acceptance of IT-Based Innovations: Comparative Analyses of Models and Measures. Decision Sciences, 37(3), 393-426.

Yrjölä, M., Saarijärvi, H., and Saarijärvi, H. (2018). The value propositions of multi-, cross-, and omni-channel retailing. International Journal of Retail & Distribution Management, 46(11/12), 1133-1152.

Zhang, M., Ren, C., Wang, G. A., and He, Z. (2018). The impact of channel integration on consumer responses in omni-channel retailing: The mediating effect of consumer empowerment. Electronic Commerce Research and Applications, 28, 181-193. https://doi. org/10.1016/j.elerap.2018.02.002.

Zikmund, W., Babin, B., Carr, J., and Griffin, M. (2013). Business Research Methods (9th ed.). Mason.

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