What Factors Affect to Curation Commerce Website Loyalty Intention: The Mediating Effects of Perceived Deception

Sunghee Park (1), Jaehyeon Jun (2), Heejun Park (3)
(1) Ph.D Candidate, Department of Convergence Technology & Management Engineering, Yonsei University, Korea, Republic of,
(2) Ph.D Candidate, Department of Industrial Engineering, Yonsei University, Korea, Republic of,
(3) Professor, Department of Industrial Engineering, Yonsei University, Korea, Republic of

Abstract

Purpose: As the importance of information quality has become prominent in the internet commerce, curation techniques are also stands out as well. Therefore, many services on e-commerce applied with curation techniques to satisfy their consumers. However, besides the fact that plenty of advantages from curation commerce, the growth of curation commerce websites have been slowdown. Thus, this paper is to investigate factors influencing curatiaxon commerce websites’ consumer loyalty intentions for enhancing the competitiveness of curation commerce websites.

Methodology/Approach: This study sets independent variables regarding provider recommendation and consumer review simultaneously and verifies to see how each factors affect to consumer’s loyalty intention through perceived deception and satisfaction in the curation commerce website. We applied structural equation model to verify the hypothesis and conduted a survey on consumer who had buying expriences in Korean curation commerce website.

Findings: The results of this study show what fators significantly affect to loyalty intention. Consumers on curation commerce mostly tend to be affected by other consumers’ review and they only affected by presentation of product among provider recommedations. We conducted an important mediating effect of satisfaction between perceived deception and loyalty intention. Furthermore, because curation commerce is a relatively new concept, this attempt could form the basis for research on cuartion commerce.

Research Limitation/implication: This research only collected sample data form curation commerce websites users in Korea and because young consumers onsistute the majority of the respondednts, generalizing the findings to individuals of all ages and nations is difficult.

Originality/Value of paper: This paper is the first study applying product recommendation and consumer review simultaneouly as an independent variable. These attempts enable to reflect more specific and practical behavior of consumers. Effect of satisfaction on loyalty and relationship between deception and loyalty are well documented in the offline and online retail context. This study expands and verifies estabilshed  relationship among  the variables on the lastest commerce website.

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References

Adams, J.S., 1963. Towards an understanding of inequity. The Journal of Abnormal and Social Psychology, 67(5), pp.422-436.

Aditya, R.N., 2001. The psychology of deception in marketing: A conceptual framework for research and practice. Psychology and Marketing, 18(7), pp.735-761.

Allen, M., 1993. Determining the persuasiveness of message sidedness: A prudent note about utilizing research summaries. Western Journal of Communication, 57(1), pp.98-103.

Armstrong, J.S. and Overton, T.S., 1977. Estimating nonresponse bias in mail surveys. Journal of marketing research, 14(3), pp.396-402.

Baek, H., Ahn, J. and Choi, Y., 2012. Helpfulness of Online Consumer Reviews: Readers' Objectives and Review Cues. International Journal of Electronic Commerce, 17(2), pp.99-126.

Bagozzi, R.P., 1986. Principles Of Marketing Management. Chicago: Science Research Associates Chicago.

Baker, J., Grewal, D. and Parasuraman, A., 1994. The influence of store environment on quality inferences and store image. Journal of the academy of marketing science, 22(4), pp.328-339.

Belch, G.E., 1981. An examination of comparative and noncomparative television commercials: The effects of claim variation and repetition on cognitive response and message acceptance. Journal of Marketing Research, 18(3), pp.333-349.

Brin, S., 1998. The anatomy of a large-scale hypertextual Web search engine 1. Computer Networks, 30(1-7), pp.107-117.

Bunker, A.M., 1994. Credibility and argument strength: persuasive effects when processing ability is impaired. MI, East Lansing: Michigan State University.

Cacioppo, J.T., Petty, R.E. and Morris, K.J., 1983. Effects of need for cognition on message evaluation, recall, and persuasion. Journal of personality and social psychology, 45(4), pp.805-818.

Chang, H.H. and Chen, S.W., 2008. The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online Information Review, 32(6), pp.818-841.

Cheung, M., Luo, C., Sia, C. and Chen, H., 2009. Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), pp.9-38.

Cho, J.-K. 1995. An examination of the attitudinal effects of comparative vs. noncomparative advertising and their causal paths in the context of message sidedness and product involvement. CT, Mansfield: University of Connecticut.

Dor?ák, P., Štrach, P. and Pollák, F., 2015. Analytical View Of The Perception Of Selected Innovative Approaches In Marketing Communications. Quality Innovation Prosperity, 19(1), pp.74-84.

Falk, R.F. and Miller, N.B., 1992. A primer for soft modeling. OH, Akron: University of Akron Press.

Fassnacht, M. and Køse, I., 2007. Consequences of Web‐based service quality: Uncovering a multi‐faceted chain of effects. Journal of Interactive marketing, 21(3), pp.35-54.

Fishbein, M. and Ajzen, I. 1975. Belief, attitude, intention and behavior: An introduction to theory and research. Journal of Business Ventruing, 5, pp.177-189.

Fornell, C. and Larcker, D.F., 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), pp.39-50.

Gefen, D., Straub, D. and Boudreau, M.-C., 2000. Structural equation modeling and regression: Guidelines for research practice. Communications of the association for information systems, 4(7), pp.1-78.

Gogan, J.L., 1996. The Web's impact on selling techniques: Historical perspective and early observations. International Journal of Electronic Commerce, 1(2), pp.89-108.

Ho, J., 1997. Evaluating the World Wide Web: A global study of commercial sites. Journal of Computer-Mediated Communication, 3(1), pp.0-0.

Horváth, M. and Michalková, A., 2012. Monitoring Customer Satisfaction in Service Industry: A Cluster Analysis Approach. Quality Innovation Prosperity, 16(1), pp.49-54.

Huppertz, J.W., Arenson, S.J. and Evans, R.H., 1978. An application of equity theory to buyer-seller exchange situations. Journal of marketing research, 15(2), pp.250-260.

Ingram, R., Skinner, S.J. and Taylor, V.A., 2005. 'Consumers' evaluation of unethical marketing behaviors: The role of customer commitment. Journal of Business Ethics, 62(3), pp.237-252.

Klein, L.R., 1998. Evaluating The Potential Of Interactive Media Through A New lens: Search versus experience goods. Journal of business research, 41(3), pp.195-203.

Lee, W. and Benbasat, I., 2003. Designing an electronic commerce interface: attention and product memory as elicited by web design. Electronic Commerce Research and Applications, 2(3), pp.240-253.

Liang, T.P. and Turban, E., 2011. Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), pp.5-13.

Lynch Jr, J.G. and Ariely, D., 2000. Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19(1), pp.83-103.

Morris, M.E. and Hinrichs, R.J., 1996. Web page design: a different multimedia, UK, New Jersey: Prentice-Hall, Inc.

Nabi, R.L. and Hendriks, A., 2003. The persuasive effect of host and audience reaction shots in television talk shows. Journal of Communication, 53(3), pp.527-543.

Oliver, R.L. and Desarbo, W.S., 1988. Response determinants in satisfaction judgments. Journal of consumer research, 14(4), pp.495-507.

Park, J., Lennon, S.J. and Stoel, L., 2005. On‐line product presentation: Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), pp.695-719.

Podsakoff, P.M., Mackenzie, S.B., Lee, J.-Y. and Podsakoff, N.P., 2003. Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), pp.879.

Ramïrez, M.L., 2011. Opinion: Whose role is it anyway?: A library practitioner's appraisal of the digital data deluge. Bulletin of the American Society for Information Science and Technology, 37(5), pp.21-23.

Roman, S., 2007. The ethics of online retailing: A scale development and validation from the consumers' perspective. Journal of Business Ethics, 72(2), pp.131-148.

Román, S., 2010. Relational consequences of perceived deception in online shopping: the moderating roles of type of product, consumer’s attitude toward the internet and consumer’s demographics. Journal of Business Ethics, 95(3), pp.373-391.

Romãn, S. and Ruiz, S., 2005. Relationship outcomes of perceived ethical sales behavior: The customer's perspective. Journal of Business Research, 58(4), pp.439-445.

Sherman, E., Mathur, A. and Smith, R.B., 1997. Store environment and consumer purchase behavior: mediating role of consumer emotions. Psychology & Marketing, 14(4), pp.361-378.

Smith, R.E. and Hunt, S.D., 1978. Attributional processes and effects in promotional situations. Journal of Consumer Research, 5(3), pp.149-158.

Swinyard, W.R., 1993. The effects of mood, involvement, and quality of store experience on shopping intentions. Journal of Consumer Research, 20(2), pp.271-280.

Tan, W.C., 2007. Provenance in Databases: Past, Current, and Future. IEEE Data Eng. Bull., 30(4), pp.3-12.

Then, N.K. and Delong, M.R., 1999. Apparel shopping on the web. Journal of Family and Consumer Sciences, 91(3), pp.65-68.

Vykydal, D., Halfarová, P. and Nenadál, J., 2013. Customer Loyalty Measurement at Czech Organizations. Quality Innovation Prosperity, 17(1), pp.28-38.

Whalen, J., Pitts, R.E. and Wong, J.K., 1991. Exploring the structure of ethical attributions as a component of the consumer decision model: The vicarious versus personal perspective. Journal of Business Ethics, 10(4), pp.285-293.

Authors

Sunghee Park
Jaehyeon Jun
Heejun Park
h.park@yonsei.ac.kr (Primary Contact)
Park, S., Jun, J., & Park, H. (2017). What Factors Affect to Curation Commerce Website Loyalty Intention: The Mediating Effects of Perceived Deception. Quality Innovation Prosperity, 21(3), 95–113. https://doi.org/10.12776/qip.v21i3.984

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