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Effects of Heuristic Type on Purchase Intention in Mobile Social Commerce : Focusing on the Mediating Effect of Shopping Value

The Journal of Distribution Science / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2019, v.17 no.10, pp.73-81
https://doi.org/https://doi.org/10.15722/jds.17.10.201910.73
KIM, Jin-Kwon
YANG, Hoe-Chang
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Abstract

Purpose - The purpose of this study was to examine the effect of the heuristic type of consumers affecting purchase decision making and the intention of shopping value in their relationship to derive mobile social commerce purchase promotion plans. Research design, data, and methodology - A research model was constructed to relate the mediating effect of shopping value between heuristic types and purchase intentions. A total of 233 valid questionnaires were used for analysis for users using mobile social commerce. The statistical program used SPSS 24.0 and AMOS 24.0, and correlation analysis, regression analysis, and 3-step parametric regression analysis were used for the analysis. Results - The results of the analysis showed that representativeness heuristics, availability heuristics, adjustment heuristics, and affect heuristics had a statistically significant effect on the utilitarian value and the hedonic value. On the other hand, affect heuristics among the heuristic types were found to have the greatest influence not only on the utilitarian value but also on the hedonic value. The two types of shopping value were found to be partially mediated between representativeness heuristics and purchase intentions, between adjustment heuristics and purchase intentions, and fully mediated between availability heuristics and purchase intentions, affect heuristics and purchase intentions. Conclusions - These findings suggest that mobile social commerce companies should check in advance how consumer heuristic types affect purchase intentions. In particular, affect heuristics are caused by consumers' emotional mood such as mood or external stimulus being more important to decision making than rational decision making. Therefore, the result of this study suggests that it can be an important factor to secure the competitiveness that the potential customers who access to use mobile social commerce can feel enough fun and enjoyment in the platform provided by the company. It is also worth paying attention to the utilitarian and hedonic values perceived by consumers. This is because the judgment regarding the economic, convenience and important information provided by the mobile social commerce users affects the purchase intention through the trust of the information, past use, and shopping experience displayed on the mobile social commerce platform.

keywords
Heuristic Type, Hedonic Value, Utilitarian Value, Purchasing Intention, Mobile Social Commerce

Reference

1.

Aaker, D. A., Myers, J. G., & Batra, R. (1992). Advertising Management, Englewood Cliffs, NJ: Prentice Hall.

2.

Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.

3.

Bae, J. T., Kim, B. Y., & Oh, S. H. (2019). The Effects of Brand Value of Oriental Medicine Cosmetic on Purchase Intention, 6(2). 105-117

4.

Baron, R. M., & Kenny, D. A. (1986). The Moderator-mediator variable distinction in social psychological research:Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.

5.

Batra, R., & Ahtola, O. T. (1991). Measuring the Hedonic and Utilitarian Sources of Consumer Attitudes. Marketing Letters, 2(2), 159-170.

6.

Bellenger, D. N., & Korgaonkar, P. K. (1980). Profiling the Recreational Shopper. Journal of Retailing, 56(3), 77-92.

7.

Bettman, J. R., Johnson, E. J., & Payne, J. W. (1991). Consumer decision making. In T. S. Robertson & H. H. Kassarjian (Eds.), Handbook of consumer behavior(50-84). Englewood Cliffs, NJ: Prentice-Hall.

8.

Bloch, P. H., & Bruce, G. D. (1984). Product Involvement as Leisure Behavior. Advances in Consumer Research, 11, 197-202.

9.

Cengiz, E., & kirkbir, F. (2007). Customer Perceived Value:The Development of a Multiple Item Scale in Hospitals. Problems and Perspectives in Management, 5(3), 252-268.

10.

Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2002). Hedonic and Utilitarian Motivations for Online Retail Shopping Behavior. Journal of Retailing, 77(4), 511-535.

11.

Choi, B. N., Lee, H. H., & Yang, H. C. (2014). Impacts of Value Inclination and Self-Expressive Consuming Propensity upon Eco-Friendly Product Purchasing Intention. East Asian Journal of Business Management, 4(4), 39-49.

12.

Choi, B. N., & Yang, H. C., (2018). A Study on Revitalization of Revenue through Difference of Consumer Perception of Characteristics of Mobile Social Commerce. The Journal of Business, Economics, and Environmental Studies, 8(1), 31-37.

13.

Dawson, S., Bloch, P. H., & Ridgway, N. M. (1990). Shopping Motives, Emotional States, and Retail Outcomes. Journal of Retailing, 66(4), 408-427.

14.

Dodds, W. B., K. B. Monroe, & D. Grewal.(1991). Effect of Price, Brand and Store Information on Buyer Product Evaluations. Journal of Marketing Research, 28(8), 307-319

15.

Engel, J. F., Blackwell, R. D., & Miniard, P. W. (1995). Consumer Behavior(8th). New York: Dryder.

16.

Eun J, L., & Overby, J. W. (2004). Creating Value for Online Shoppers: Implications for Satisfaction and Loyalty, Journal of Consumer Satisfaction Dissatisfaction and Complaining Behavior, 17, 54-67.

17.

Gigerenzer, G. (2008). Why Heuristics Work. Perspectives on Psychological Science, 3(1), 20-29.

18.

Gigerenzer, G., & Gaissmaier,W.(2011). Heuristic Decision Making. Annual Review of Psychology, 62(1), 451-482.

19.

Hirschman, E. C., & M, B. holbrook. (1982). Hedonic consumption: emerging concepts, methods and propositions, Journal of Marketing, 46(2), 92-101

20.

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.

21.

Jin, P. R., & Lee, J. H. (2018). A Study on the Use Intention of Xiaomi in Korean Market, 9(11), 17-24.

22.

Jung, M. H., Bae, D. I., & Yun, J. C. (2018). The Effects of SNS Characteristics on Purchase Intention. The Journal of Business, Economics, and Environmental Studies. 4(3), 19-25

23.

Kalakota, R., Robinson, M., & Kalakota, D. R. (2002). M-business: The Race to Mobility. New York, NY:McGraw-Hill.

24.

Keng, S., Lim, E. P, & Shen. Z. (2001). Mobile Commerce: Promises Challenges and Research Agenda. Journal of Database Management, 12(3), 4-13.

25.

Kim, H. S., & Shim, J. H. (2017). The Effects of Service Qualities on Customer Satisfaction and Behavioral Intention in Coffee Shops. International Journal of Industrial Distribution & Business, 8(5), 95-109.

26.

Kim, S. O., Youn, S. H., & Lee, M. J. (2018). The Study on the e-Service Quality Factors in m-Shopping Mall App based on the Kano Model. International Journal of Industrial Distribution & Business, 9(12), 63-72.

27.

Kim, K. L., Jang, S. N., & Kim, P. J. (2012). Research on Purchase Decision Factors to TV Home Shopping Product: Digital⋅Home Appliance. The Journal of Business, Economics, and Environmental Studies, 2(2), 13-21.

28.

Lee, J. W., Kwag Michael., & Rajasekhara Mouly Potluri. (2015). Antecedents of Acceptance of Social networking Sites in Retail Franchise and Restaurant Businesses. Journal of Asian Finance, Economics and business, 2(1), 29-36

29.

Maclnnis, D. J., & L.,I. Price. (1987) The Role of Imaginary in Information Processing: Review and Extensions, Journal of Consumer Research, 13(3), 473-491

30.

Miller, T., Friesz, T. L., & Tobin, R. L. (1992). Heuristic algorithms for delivered price spatially competitive network facility location problems, Annals of Operations Research, 34(1), 177-202.

31.

Morwitz, V. G., & Schmittlein, D. (1992). Using Segmentation to Improve Sales Forecasts Based on Purchase Intent: Which "Intenders" Actually Buy?. Journal of Marketing Research, 29(4), 391-405.

32.

Mussweiler, K., & Strack, F. (1999). Comparing Is Believing: A Selective Accessibility Model of Judgmental Anchoring. European Review of Social Psychology, 10(1), 135-167.

33.

Müller-Veerse, F. (1999). Mobile Commerce Report, Duelacher Research Ltd.

34.

Orbell, J., & Dawes, R. M. (1991). A “Cognitive Miser”Theory of Cooperators Advantage. American Political Science Review, 85(2), 515-528.

35.

Payne, J. W., Bettman, J. R., & Johnson, E. J. (1988). Adaptive Strategy Selection in Decision Making. Journal of Experimental Psychology: Learning, Memory and Cognition, 14(3), 534-552.

36.

Phuong, N. N. D., & Dat, N. T. (2017). The Effect of Country-of-Origin on Customer Purchase Intention: A Study of Functional Products in Vietnam, 4(3), 75-89.

37.

Sanchez, J., Callarisa, L., Rodriguez, R. M., & Moliner, M. A. (2006). Perceived Value of the Purchase of a Tourism Product. Tourism Management, 27(3), 394-409

38.

Sherry Jr, J. F. (1990). Dealers and Dealing in a Periodic Market: Informal Retailing in Ethnographic Perspective. Journal of Retailing, 66(2), 174-200.

39.

Singh, D. P. (2014). Online Shopping Motivations, Information Search, and Shopping Intentions in an Emerging Economy. The Journal of Business, Economics, and Environmental Studies, 4(3), 5-12.

40.

Slovic, P., Fischoff, B., and Lichtenstein, S. (1982). Facts versus Fears: Understanding Perceived Risk. in D. Kahneman, P. Slovic and A. Tversky(Eds.), Judgement under Uncertainty: Heuristics and Biases, 463-492, Cambridge: Cambridge University Press.

41.

Sousa, Ana., Nobre, Helena., & Farhangmehr, Minoo. (2018). An Empirical Study about the Influence of Country Personality and Product Involvement on Consumer’s Purchase and Visit Intentions. Journal of Asian Finance, Economics and Business. 5(3), 65-72.

42.

Stephen, A. T., & Toubia, O (2010) The Effects of Derving Value from Social Commerce networks. Journal of Marketing Research, 47(2), 215-228.

43.

Szrek, H., & Baron, J. (2007). The value of choice in insurance purchasing. Journal of Economic Psychology, 28(5), 529-544.

44.

Tversky, A., & Kahneman, D. (1974), Judgment Under Uncertainty: Heuristics and Bias, Science, New series, 185(4157), American Association of the Advancement of Science, 1124-1131.

45.

Turban, E., McLean, E., & Wetherbe, J. (2004). Information Technology for Management: Transforming Organizations in the Digital Economy, John Wiley &Sons.

46.

Uzma, K., & Dhar, R. (2006). Licensing Effect in Consumer Choice. Journal of Marketing Research, 43(5), 259-266.

47.

Winke, M., Bless, H., and Biller, B. (1996). Subjective Experience versus Content of Information in the Construction of Attitude Judgments,” Personality and Social Psychology Bulletin, 22(11), 1105-1113.

48.

Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-end Model and Synthesis of Evidence. The Journal of marketing, 52(3), 2-22.

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