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  • P-ISSN1738-3110
  • E-ISSN2093-7717
  • SCOPUS, ESCI

A Study on the Influence of Omni Channel's Shopping Value on Users' Innovative Tendency and Service Attitudes

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2023, v.21 no.1, pp.119-128
https://doi.org/10.15722/jds.21.01.202301.119
MIN SO RA
LEE Sun-Mi (Brazil Gol Airlines)

Abstract

Purpose: Due to COVID-19, the rapidly changing untact culture from offline to online has spread rapidly, increasing the utilization of omni-channel. However, among the studies on consumers in the online market, there are not many studies that analyze Shopping Values and attitudes toward omnichannel Acceptance. Research design, data, and methodology: This study investigated through empirical analysis how Shopping Values and innovation propensity of consumers using omni channels affect omni channel Acceptance attitudes. The analysis results based on a total of 268 questionnaires using SPSS v.23 and AMOS v.23 statistical programs are as follows. Results: First, it was found that the perceived Value of omnichannel use had a positive effect on the innovation tendency, and the pleasure Value had a greater effect than the actual Value. Second, it was found that the practical and hedonic Value of the omnichannel had a positive effect on the attitude of service Acceptance. Third, it was found that Omni Channel's consumer innovation tendency had a positive effect on service Acceptance attitude. Conclusion: This study proved that Shopping Value perception and individual innovation propensity for omnichannel services have a positive effect on Acceptance attitude, and it is of academic significance in that it expanded understanding of what factors are needed to increase Acceptance attitude of Omni Channel services.

keywords
Omni Channel, Shopping Value, Acceptance Attitude

Reference

1.

Adapa, S., Fazal-e-Hasan, S. M., Makam, S. B., Azeem, M. M. & Mortimer, G. (2020). Examining the Antecedents and Consequences of Perceived Shopping Value through Smart Retail Technology. In Journal of Retailing and Consumer Services, 52(2020), 1-11.

2.

Ailawadi, K. L., & Farris, P. W. (2017). Managing Multi-and Omni-Channel Distribution: Metrics and Research Directions. Journal of Retailing, 93(1), 120-135. http://dx.doi.org/10.1016/j.jretai.2016.12.003

3.

Ajzen, I. (1991). The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

4.

Alexandra. R., Ganster L., & Baier D. (2020). Chatbots in Retailers’ Customer Communication: How to Measure Their Acceptance. Journal of Retailing and Consumer Services, 56(1), 1-14. https://doi.org/10.1016/j.jretconser.2020.102176

5.

Babin, B. J., Darden W. R., & Griffin, M. (1994). Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20(3), 644-656.

6.

Baldauf, A., Cravens, K. S., & Binder, G. (2003). Performance Consequences of Brand Equity Management: Evidence from Organizations in the Value Chain. The Journal of Product and Brand Management, 12(4), 220-236.

7.

Beck, N., & Rygl, D. (2015). Categorization of Multiple Channel Retailing in Multi-, Cross-, and Omni Channel Retailing for Retailers and Retailing. Journal of Retailing and Consumer Services, 27(2015), 170-178. http://dx.doi.org/10.1016/j.jretconser.2015.08.001

8.

Berman, B., & Thelen, S. (2004). A Guide to Developing and Managing a Well‐Integrated Multi‐Channel Retail Strategy. International. Journal of Retail & Distribution Management, 32(3), 147-156.

9.

Chauhan, V. (2019). Analyzing the Impact of Consumer Innovativeness and Perceived Risk in Internet Banking Adoption: A Study of Indian Consumer. International Journal of Marketing, 37(1), 324-325.

10.

Chen, L. S. L., Kuan, C., Jung K., Lee Y. H., & Huang, H. L. (2011). Applicability of the UTAUT Model in Playing Online Game through Mobile Phones: Moderating Effects of User Experience. IEEE International Technology Management Conference (ITMC), 625-629.

11.

Chiou, J. S., & Ting, C. C. (2011). Will You Spend More Money and Time on Internet Shopping When the Product and Situation are Right? In Computers in Human Behavior, 27(1), 203-208.

12.

Chopra, K. (2019). Indian Shopper Motivation to Use A rtificial I ntelligence. International Journal of Retail Distribution Management, 47(3), 331-347.

13.

Emily R.; Donna S; Joseph F. H. (2017). Marketing a Luxury Brand through Digital Storytelling: an Analysis of Campaign Diffusion through Youtube and Instagram. Global Fashion Management Conference, 2017(07), 116-121.

14.

Eroglu, S. A., Machleit, K., & Barr, T. F. (2005). Perceived Retail Crowding and Shopping Satisfaction: The Role of Shopping Values. Journal of Business Research, 58(8), 1146-1153.

15.

Fiore, A.M., Niehm, L., Oh, H., Jeong, M., & Hausafus, C. (2007). Experience Economy Strategies: Adding Value to Small Rural Businesses. Journal of extension, 45(2), 127-143.

16.

Fischer, E., & Arnold, S. J. (1990). More than a Labor of Love: Gender Roles and Christmas Gift Shopping. Journal of Consumer Research, 17(3), 333-345.

17.

Fishbein, M., & Ajzen, I. (1975). Belif, A ttitude, I ntention and B ehavior, an Introduction to Theory and Research, Reading. MA: Addison-Wesley.

18.

Flavián, C., Orús, C., & Gurrea, R. (2016). Facilitating Imaginations through Online Product Presentation Videos: Effects on Imagery Fluency, Product Attitude and Purchase Intention. Electronic Commerce Research, 17(2017), 661-700.

19.

Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of marketing research, 18(1), 39-50.

20.

Foxall, G. R. (1988). The Industrial User as Product Innovator: Markets, Hierarchies and Patterns of User-Initiated Innovation. Advances in Consumer Research, 15(1), 286-291.

21.

Gan, C., & Li, H. (2018). Understanding the Effects of Gratifications on the Continuance Intention to Use WeChat in China a Perspective on Uses and Gratifications. Computer Human Behavior, 78(2018), 306-315. https://doi.org/10.1016/j.chb.2017.10.003

22.

Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring Consumer Innovative-ness. Journal of the Academy of Marketing Science, 9(3), 209-221.

23.

Herhausen, D., Binder, J., Schögel, M., & Herrmann, A. (2015). Integrating B ricks with Clicks: Retailer-Level and Channel-Level Outcomes of Online-Offline Channel I ntegration. Journal of Retailing, 91(2), 309-325.

24.

Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic Consumption: Emerging Concepts, Methods, and Propositions. Journal of Marketing, 46(3), 92-101.

25.

Holbrook, M. B., & Corfman, K. P. (1985). Quality and Value in The Consumption Experience: Phaedrus rides again. Perceived Quality, 31(2), 31-57.

26.

Hong, J., Lin, P., & Hsieh, P. (2017). The Effect of Consumer Innovativeness on Perceived Value and Continuance Intention to Use Smartwatch. Computers in Human Behavior, 67(2017), 264-272. http://dx.doi.org/ 10.1016/j.chb.2016.11.001

27.

Hure, E., Picot-Coupey, K., & Ackermann, C. L. (2017). Understanding Omni-Channel Shopping Value: a MixedMethod Study. In Journal of Retailing and Consumer Services. 39(2017), 314–330. https://doi.org/10.1016/j.jretconser.2017.08.011.

28.

Im, S., Mason, C.H., & Houston, M.B. (2007). Does Innate Consumer Innovativeness Relate to New Product/Service Adoption Behavior? The Intervening Role of Social Learning via Vicarious Innovativeness. Journal of the Academy of Marketing Science: Official Publication of the Academy of Marketing Science, 35(1), 63-75.

29.

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(9), 974-981.

30.

Konus, U., Verhoef, P. C., & Neslin, S. A. (2008). MultiChannel Shopper S egments and T heir Covariate. Journal of Retailing, 84(4), 398–413.

31.

Kotler, P. (1994). Marketing Management, A nalysis, P lanning, Implementation, and Control, Philip Kotler. London: Prentice-Hall International.

32.

Kim, B. H., Han, S. P., & Yoon, S. (2010). Advertising Creativity in Korea: Scale Development and Validation. Journal of Advertising, 39(2), 93-108.

33.

Kim, C. S., Galliers, R. D., Shin, N. C., Ryoo, J. H., & Kim, J. H. (2012). Factors Influencing Internet Shopping Value and Customer Repurchase Intention. Electronic Commerce Research and Applications, 11(4), 374-387.

34.

Lao, A., Vlad, M., & Martin, A. (2021). Exploring How Digital Kiosk Customer Experience Enhances Shopping Value, Selfmental Imagery and Behavioral Responses. International. Journal of Retail and Distribution Management, 49(7), 817- 845.

35.

Lee, J. M., & Rha, J. Y. (2013). The Effect of Privacy Concerns and Consumer Trust on Consumer Response to Online Behavioral Advertising for Travel Products. International Journal of Tourism Sciences; 13(3), 1-29.

36.

Manning, K. C., Bearden, W. O., & Madden, T. J. (1995). Consumer Innovativeness and the Adoption Process. Journal of Consumer Psychology, 4(4), 329-345.

37.

Mathwicka, C., Malhotra, N., Rigdon, E. (2001). Experiential Value: Conceptualization, Measurement and Application in the Catalog and Internet Shopping Environment. Journal of Retailing, 77(1), 39-56.

38.

Mowen, J. C., & Minor, M. (1995). Consumer Behavior, 5th ed., Prentice-Hall, Upper Saddle River, NJ.

39.

Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill.

40.

Park, S. B., & Chung, N. (2011). Mediating Roles of SelfPresentation Desire in Online Game Community Commitment and Trust Behavior of Massive Multiplayer Online Role-Playing Games. Computers in Human Behavior, 27(6), 2372-2379.

41.

Pauwels, K., & Neslin, S. A. (2015). Building with Bricks and Mortar: The Revenue Impact of Opening Physical Stores in a Multi-Channel Environment. Journal of Retailing, 91(2), 182-197.

42.

Prashad, V. (2017). The Time of the Popular Front. Third World Quarterly, 38(11), 2536-2545.

43.

Rogers, E. M. (1995). Diffusion of innovations. New York: Free Press.

44.

Rogers, E. M. (2003). Diffusion of Innovation, 5th Edition, New York: The Free Press.

45.

Solomon, M. R. (2013). Consumer Behavior: Buying, Having, and Being (10th Ed.). Boston: Pearson.

46.

Sweeney, J. C., & Geoffrey, N. S. (2001). Consumer-Perceived Value: The Development of a Multiple I tem Scale. Journal of Retailing, 77(2), 203-220.

47.

Tynan, C., McKechnie, S., & Chhuon, C. (2010). Co-creating Value for Luxury Brands. Journal of Business Research, 63(11), 1156-1163.

48.

Um, T. H., Kim, T. H., & Chung, N. H. (2020). How does an Intelligence Chat-bot Affect Customers Compared with SelfService Technology for Sustainable Services. Journal of Sustain-ability, 12(12), 511-519.

49.

Venkatraman, M. P., & Price, L. L. (1990). Differentiating Between Cognitive and Sensory Innovativeness: Concepts, Measurement, and Implications. Journal of Business Research, 20(4), 293-315.

50.

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.

51.

Wongkitrungrueng, A., & Assarut, N. (2018). The Role of Live Streaming in Building Consumer Trust and Engagement with Social Commerce Sellers. Journal of Business Research, 117(2020), 543-556.

52.

Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile Payment Services Adoption across Time: An Empirical Study of the Effects of Behavioral Beliefs, Social Influences, and Personal Traits. In Computers in Human Behavior, 28(1), 129- 142.

53.

Zhang, J., & Wedel, M. (2009). The Effectiveness of Customized Promotions in Online and Offline Stores. Journal of Marketing Research, 46(2), 190-206.

54.

Zhang, J., Farris, P. W., Irvin, J. W., Kushwaha, T. T., Steenburgh, J., & Weitz, B. A. (2010). Crafting Integrated Multi- Channel Retailing Strategies. Journal of Interactive Marketing, 24(2), 168-180.

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