A RESEARCH ON THE IMPACT OF EWOM SOURCE CREDIBILITY AND PERSONAL INNOVATIVENESS ON ONLINE SHOPPING INTENTION IN TURKISH CUSTOMERS

A RESEARCH ON THE IMPACT OF EWOM SOURCE CREDIBILITY AND PERSONAL INNOVATIVENESS ON ONLINE SHOPPING INTENTION IN TURKISH CUSTOMERS

Purpose - The aim of this study is to determine the relationship between eWOM credibility, which consisted of expertness, trustworthiness, objectivity and homophily, and perceived customer risk during the purchase process. Moreover, in order to get an indication of customer behavior, the effect of personal innovativeness and customer perceived risk on online shopping intention has been investigated. Turkish customers’ concern about online purchasing and their risk perception level enhances the importance of the research while there isn’t any research observed in this area before. Methodology -  Data is gathered by survey as a quantitative method. Population of the research contains individuals that buy goods and services online in Turkey. Convenience sampling is used and the sample size is 280. Analysis methods used in this research are descriptive statistics, exploratory factor analysis and structural equation model test. Findings- Results of current survey indicate that, personal innovativeness has a positive effect on online purchase intention, however,  risk perception affects it negatively. Furthermore, eWOM and personal innovativeness reduces customer perceived risk.   Conclusion- Although many factors affect online purchase intention, personal innovativeness, eWOM credibility and customer perceived risk are among the most important factors. The results of current study clearly support all hypotheses. Developing tools to make online purchase more secure and creating a positive eWom among customers decrease customers’ perceived risk and increase online buying intention among Turkish customers.   

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  • Agarwal, R. & Prasad, J. 1998 “A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology”, Information Systems Research, Vol.9, No.5, pp. 204-215.
  • Arnould, E., Price, L. & Zinkhan, G. 2004, “Consumers”, 2nd ed., McGraw-Hill/Irwin, New York, NY.
  • Ajzen, I. & Fishbein, M. 1977, “Attitude-behavior relations: A theoretical analysis and review of empirical research”, Psychological Bulletin, Vol. 84 No. 5, pp. 888-918.
  • Bauer, R. A. 1960, “Consumer behavior as risk taking”, In Dynamic marketing for a changing world, Vol. 398.
  • Bronner, F. & de Hoog, R. 2011, “Vacationers and eWOM: who posts, and why, where, and what?”, Journal of Travel Research, 50(1), 1526.
  • Chu S. & Kim Y. 2011, “Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites“, International Journal Of Advertising ,Vol. 30 , Iss. 1.
  • Cox, Anthony D., Dena Cox, and Gregory Zimet. 2006, “Understanding Consumer Responses to Product RiskInformation,” Journal of Marketing, 70 (1), 79-91.
  • Cox, Dena and Anthony D. Cox. 2001, “Communicating the Consequences of Early Detection:€ The Role ofEvidence and Framing,” Journal of Marketing, 65 (July), 91-103.
  • Cox, Donald F. ed. 1967, “Risk Taking and Information Handling in Consumer Behavior”, Boston, MA: Harvard University Press.
  • Das, T. K., & Teng, B. 2001a, “Trust, control, and risk in strategic alliances: An integrated framework”, Organization Studies, 22, 251-283. De Bruyn, A. & Gary L. L. 2008, “A Multi-Stage Model of Word-of-Mouth Influence through Viral Marketing”, International Journal of Research in Marketing, 25, 151-163.
  • Davis, F. D. 1989, “Perceived Usefulness, Perceived Ease of Use, And User Acceptance of information technology”, MIS Quarterly, 13, 3; ABI/INFORM Global, pg. 319.
  • Doh S. J. & Hwang J. S. 2009, “How consumers evaluate eWOM messages”, Cyber Psychology & Behavior, Vol. 12, No. 2, 193-201.
  • Dowling, G. R. 1986, “Perceived Risk: The concept and its measurement”, Psychology and Marketing, 3: 193-210
  • Dowling, G.R. & Staelin, R. 1994, “A model of perceived risk and intended risk-handling activity”, Journal of Consumer Research, Vol. 21, No. 1, pp. 119-134.
  • Engel, J.F., Blackwell, R.D. & Miniard, P.W. 1986, “Consumer Behavior”, The Dryden Press, Chicago, IL.
  • Featherman, M.S. & Pavlou, P.A. 2003, “Predicting e-services adoption: a perceived risk facets perspective”, International Journal of Human-Computer Studies, Vol. 59 No. 4, pp. 451-474.
  • Fischhoff, B. 1985, “Managing Risk Perceptions”. Issues in Science and Technology, 2/1: 83-96.
  • Fornell, C. & Larcker, D. F. 1981, “Evaluating structural equation models with unobservable variables and measurement error”, Journal of Marketing Research, Vol. 18 No. 1, pp. 39-50.
  • Forsythe, S. M. & Shi B. 2003, “Consumer patronage and risk perceptions in Internet shopping“, Journal of Business Research, 56 , 867–875.
  • Goldsmith, R.E. 2000, “Identifying wine innovators: a test of the domain specific innovativeness scale using known groups”, International Journal of Wine Marketing, Vol. 12 No. 2, pp. 37-46.
  • Hennig-Thurau, T. , Gwinner K. P., Walsh G. & Gremler D. D. 2004, “Electronic Word-of-Mouth via Consumer-Opinion Platforms: What Motivates Consumers to Articulate Themselves on the Internet?”Journal of Interactive Marketing, 18 (1), 38-52.
  • Hirschman, E.C. 1980, “Innovativeness, novelty seeking, and consumer creativity”, Journal of Consumer Research, Vol. 7 No. 3, pp. 283-295.
  • Hussain S., Ahmed W., Muhammad Sohail Jafar R. & Rabnawaz A., 2017. “eWOM source credibility, perceived risk and food product customer's information adoption”, Computers in Human Behavior, V. 66 , pp. 96-102.
  • Kim, J. & Forsythe, S. 2010, “Factors affecting adoption of product virtualization technology for online consumer electronics shopping”, International Journal of Retail & Distribution Management, Vol. 38 No. 3, pp. 190-204.
  • Kunze, O. & Li-Wei, M. 2007, “Consumer adoption of online music services”, International Journal of Retail & Distribution Management, Vol. 35 No. 11, pp. 862-877.
  • Litvin, S. W., Goldsmith, R. E. & Pan, B. 2008, “Electronic word-of-mouth in hospitality and tourism management”. Tourism Management, 29, 458- 468.
  • Littler, D. & Melanthiou, D. 2006, “Consumer perceptions of risk and uncertainty and the implications for behavior towards innovative retail services: the case of internet banking”, Journal of Retailing and Consumer Services, Vol. 13 No. 6, pp. 431-443.
  • Lutz, R. J., & Reilly, P. J. 1974, “An exploration of the effects of perceived social and performance risk on consumer information acquisition”, Advances in Consumer Research, 1, 393- 405.
  • Pan, L.-Y. & Chiou, J.-S. 2011, “How much can you trust online information? Cues for perceived trustworthiness of consumer-generated online information”, Journal of Interactive Marketing, 25, 67-74.
  • Peter, J.P. & Ryan, M.J. 1976, “An investigation of perceived risk at the brand level”, Journal of Marketing Research, Vol. 2 No. 13, pp. 184188.
  • Pires, G., Stanton, J. & Eckford, A. 2004, "Influences on the Perceived Risk of Purchasing Online", Journal of Consumer Behaviour, Vol. 4, No. 2: 118-131.
  • Reingen, P. H. & Kernan B. J. 1986, “Analysis of Referral Networks in Marketing: Methods and Illustration” Journal of Marketing Research, 23 (4), 370-378.
  • San Martin, S., Camarero, C., Herna´ndez, C. & Valls, Ll. (2009), “Risk, drivers and impediments to online shopping in Spain and Japan”, Journal of Euromarketing, Vol. 18 No. 1, pp. 47-64.
  • Sheppard, B.H., Hartwick, J. & Warshaw, P.R. 1988, “the theory of reasoned action: a meta-analysis of past research with recommendations for modifications and future research”, Journal of Consumer Research, Vol. 15 No. 3, pp. 325-343.
  • Sitkin, S. B. & Pablo, A. L. 1992, “ Reconceptualizing the determinants of risk behavior”. Academy of Management Review, 17, 9-38.
  • San Martín Carmen S. & San José, C. R. 2011,"Dual effect of perceived risk on cross national e-commerce", Internet Research, Vol. 21 Iss 1 pp. 46 – 66.
  • Thakur R. & 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, Vol. 43 No. 2.
  • Tong, X. 2010, “A cross-national investigation of an extended technology acceptance model in the online shopping context”, International Journal of Retail & Distribution Management, Vol. 38 No. 10, pp. 742-759.
  • Venkatesh V., Morris, M. G., Davis, G. B., Davis & F. D., 2003, “User acceptance of information technology: Toward a unified view”, MIS Quarterly, Vol. 27 No. 3, pp. 425-478.