The Antecedents and Consequences of Customer Trust and Website Image: The Moderating Effects of Gender

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, pp.29-33 http://dx.doi.org/10.14257/astl.2015.102.07 The Antecedents and Consequences of Customer Trust and Website Image: The Moderating Effects of Gender Ki Han Chung 1, Yan Qing Zhang 2, Yu Hui Dong 1, Jae-Ik Shin 1 1 Department of Business Administration, Gyeongsang National University 501, Jinju-Daero, Jinju, South Korea khchung@gnu.ac.kr, 8826058@qq.com 2 Science & Technology, Qingdao University of China 99 Songling Road, Qingdao 266061 China crystal830109@hotmail.com Corresponding Author: sji@gnu.ac.kr Abstract. This study aims to identify how the perception of trustworthiness and website atmosphere influences customer trust and website image to enhance stickiness, as well as the extent to which gender moderates the relationships between the constructs. The results confirmed that trustworthiness and website atmosphere have positive impacts on customer trust and website image. Customer trust and website image have positive impacts on stickiness. Meanwhile, the moderating effects of gender in the relationships between trustworthiness, website atmosphere and customer trust are significant. Thus, the managers should focus on trustworthiness and website atmosphere to improve stickiness through customer trust and website image. Keywords: Trustworthiness, Website atmosphere, Customer trust, Website image, Stickiness, Gender. 1 Introduction Developing and maintaining relationships with customers has become a key marketing strategy for service firms and retailers [1]. Li et al. [2] revealed trust to be an important predictor to stickiness intention. Unlike research on store image, few studies have examined website image. In fact, most of them focus on related concepts such as website quality or disparate characteristics that researchers use as antecedents to specific explanatory variables of purchase behavior, often lumping them together under the less accurate term of online beliefs [3] or website attributes [4]. Although trustworthiness, customer trust, and website image have played important roles in Internet shopping, few studies have discussed the factors simultaneously. Thus, this study investigates how customer trust and website image have an impact on stickiness, and which factors of trustworthiness and website atmosphere are the most important, as well as examines the moderating effects of gender in Chinese online settings. ISSN: 2287-1233 ASTL Copyright 2015 SERSC

2 Literature Review Trustworthiness is described as being honest, telling the truth, keeping promises, and being loyal so people can trust you [5]. Based on previous studies, this paper proposes the dimension of trustworthiness of Internet shopping vendor as integrity, benevolence, and predictability. Website atmosphere can be defined as the conscious designing of website environments to create positive effects in users in order to increase favorable consumer responses [6]. Based on previous studies, this study adopted navigation, structure, informativeness, and information content effectiveness as four dimensions of website atmosphere. Kong and Hung [7] proposed how people form trust attitude through peripheral (reputation, disposition to trust, situational normality, structural assurance, and web site quality) and central route (ability, benevolence, integrity, and web site quality). Harris and Goode [6] further revealed that consumers perceptions and interpretations of online service environment exert a powerful, direct influence over trust that, in turn, is associated with consumers purchase intentions. Website image is defined as consumers perception of a website as reflected by associations related to the website (including sub-sites) held in memory [8]. A website s capacity to persuade can be affected by the characteristics that the firm creates when building the site, such as information quality, credibility of the source, the brand or the site s capacity to handle transactions [9]. Wu et al. [10] refined stickiness as a high frequency of returning to a website. Chebat et al. [11] showed that mall image had a significant positive influence on mall attitude, mall patronage, and word-of-mouth communications. Eastlick et al. [12] found that trust is an important antecedent for individuals to maintain continuous and valuable relationships with e-retailers. Thus, the following hypotheses are suggested to identify the relationships between the constructs in Internet shopping of China: H1. Trustworthiness will have a positive effect on customer trust. H2. Website atmosphere will have a positive effect on customer trust. H3. Trustworthiness will have a positive effect on website image. H4. Website atmosphere will have a positive effect on website image. H5. Customer trust will have a positive effect on website image. H6. Customer trust will have a positive effect on stickiness. H7. Website image will have a positive effect on stickiness. Men show more interest in Internet purchase, spend more money and fell more trusting, though women who purchase through this medium do so more frequently and have more favorable attitudes towards the content of the website [13]. Thus, we will propose that the difference in gender acts as a moderating effect. H8. The relationship between trustworthiness and customer trust is moderated by H9. The relationship between website atmosphere and customer trust is moderated by H10. The relationship between trustworthiness and website image is moderated by H11. The relationship between website atmosphere and image is moderated by 30 Copyright 2015 SERSC

3 Methodology The research is designed to confirm the relationships among trustworthiness, website atmosphere, customer trust, website image, and stickiness, as well as to identify the moderating effect of gender in Chinese Internet shopping. Table 1. Confirmatory factor analysis H12. The relationship between customer trust and website image is moderated by H13. The relationship between customer trust and stickiness is moderated by H14. The relationship between website image and stickiness is moderated by Trustworthiness Web Site atmosph ere Construct Ability Integrity Benevolence Predictability Navigational cue Structure Informativeness Information Content effectiveness Customer trust Website image Items Std. Estimate S.E. C.R. Ab1 0.771 Ab2 0.814 0.091 11.519 Ab3 0.797 0.078 11.203 In1 0.810 In2 0.908 0.069 15.274 In3 0.840 0.064 13.791 Be1 0.880 Be2 0.910 0.058 18.043 Be3 0.735 0.079 12.577 Pr1 0.712 Pr2 0.788 0.127 9.905 Pr3 0.703 0.126 8.987 Nc1 0.867 Nc2 0.900 0.060 17.335 Nc3 0.803 0.061 14.378 St1 0.843 St2 0.837 0.067 14.833 St3 0.881 0.065 16.004 Composite reliability AVE 0.837 0.63 1 0.889 0.72 9 0.881 0.71 4 0.779 0.54 1 0.893 0.73 5 0.890 0.72 9 Cronbach s α 0.831 0.882 0.865 0.781 0.888 0.891 If1 0.921 0.926 0.86 0.925 If2 0.936 0.047 21.173 2 Ice1 0.836 Ice2 0.840 0.073 14.418 0.871 0.69 0.867 Ice3 0.821 0.072 13.902 3 Ct1 0.945 Ct2 0.937 0.039 24.356 0.910 0.77 0.903 Ct3 0.741 0.050 14.224 3 Wi1 0.816 Wi2 0.853 0.074 14.382 0.89 0.72 0.895 Wi3 0.889 0.075 15.279 8 St1 0.907 0.9.4 0.82 0.904 Copyright 2015 SERSC 31

Stickiness St2 0.909 0.058 17.124 4 Model Fit Indices: χ2(364)=561.835, p=0.000, CMIN/DF=1.544, RMR=0.048, GFI=0.857, CFI=0.963, TLI=0.953, RMSEA=0.052 4 Findings Table 2. Results of hypothesis testing Hypothesis Path Std. Estimate S.E. t-value p-value Results H1: Trustworthiness Customer trust 0.618 0.136 6.761 0.000 Accepted H2: Website atmosphere Customer trust 0.145 0.086 2.044 0.041 Accepted H3: Trustworthiness Website image 0.012 0.076 0.166 0.868 Rejected H4: Website atmosphere Website image 0.419 0.055 6.517 0.000 Accepted H5: Customer trust Website image 0.518 0.052 7.042 0.000 Accepted H6: Customer trust Stickiness 0.306 0.089 3.341 0.000 Accepted H7: Website image Stickiness 0.463 0.132 4.825 0.000 Accepted Model Fit Indices: χ2(403)=634.587, p=0.000, CMIN/DF=1.575, RMR=0.055, GFI=0.847, AGFI=0.814, NFI=0.890, CFI=0.957, TLI=0.950, RMSEA=0.053 In addition, the results of the moderating effects of gender showed that H8 and H9 are significant at the levels of 0.05 and 0.01 through a Chi-square (χ2) value comparison for the free model and the constrained model. However, the moderating effects of H10, H11, H12, H13, and H14 are not significant at the level of 0.05 5 Conclusions The conclusion is the primary research contribution, that is, customer trust and website image should be simultaneously considered in one model as indicators to predict stickiness, as well as focus on the roles of trustworthiness and website atmosphere to enhance customer outcome. Internet shopping vendors should consider market segmentation by gender, which has a different effect on customer trust. The vendors should also deploy effective strategies to build trustworthiness and website atmosphere. For future research, it will necessary for a longitudinal research to accurately track consumers perceptions of trustworthiness and website atmosphere. References 1. McLelland, M.A., Foster, J.: Reactions of the Jilted Consumer, Journal of Retailing and Consumer Services. Vol 22, pp.53-60 (2015) 32 Copyright 2015 SERSC

2. Li, D., Browne, G.J., Wetherbe, J.C.: Why Do Internet Users Stick with a Specific Web Site? A Relationship Perspective, International Journal of Electronic Commerce. Vol 10, No 4, pp.105-141 (2006) 3. Kwon, W.S., Lennon, S.: Reciprocal Effects between Multichannel Retailers' Offline and Online Brand Images, Journal of Retailing. Vol 85, No 3, pp.376-390 (2009) 4. Verhoef, P.C., Neslin, S.A., Vroomen, B.: Multichannel Customer Management: Understanding the Research-Shopper Phenomenon, International Journal of Research in Marketing. Vol 24, No 2, pp.129-148 (2007) 5. Wright, S.: Trust and Trustworthiness, Philosophia. Vol 38, No 3, pp.615-627 (2010) 6. Harris, L.C., Goode, M.H.: Online Servicescapes, Trust, and Purchase Intentions, Journal of Services Marketing. Vol 24, No 3, pp.230-243 (2010) 7. Kong, W.C., Hung, Y.T.: Modeling Initial and Repeat Online Trust in B2C E-Commerce, Proceedings of the 39th Hawaii International Conference on System Sciences, Big Island, HI (2006) 8. Yang, X.J., Chen, J.H.: Website Image Transfer: Perception of Uninformative Online Ads, Advances in Consumer Research. North American Conference Proceedings. Vol 34, pp.448-449 (2007) 9. Morosan, C., Fesenmaier, D.R.: A Conceptual Framework of Persuasive Architecture of Tourism Websites: Propositions and Implications, In Sigala, M., Mich, L., Murphy, V.(Eds.) Information and Communication Technologies in Tourism 2007. Proceedings of the International Conference, Ljubljana, Slovenia, pp.243-254. Springer-Verlag (2007) 10. Wu, J.J., Chen, Y.H., Chung, Y.S.: Trust Factors Influencing Virtual Community Members: A study of Transaction Communities, Journal of Business Research. Vol 63, No 9-10, pp.1025-1032 (2010) 11. Chebat, J.C., Sirgy, M.J., Grzeskowiak, S.: How Can Shopping Mall Management Best Capture Mall image, Journal of Business Research. Vol 63, No 7, pp.735-740 (2010) 12. Eastlick, M.A., Lotz, S.L., Warrington, P.: Understanding Online B2C Relationships: An Integrated Model of Privacy Concerns, Trust, and Commitment, Journal of Business Research. Vol 59, No 8, pp.877--886 (2006) 13. Richard, M.O., Chebat, J.C., Yang, Z., Putrevu, S.: A Proposed Model of Online Consumer Behavior: Assessing the Role of Gender, Journal of Business Research. Vol 63, No 9-10, pp.926--934 (2010) Copyright 2015 SERSC 33