Does The E-Loyalty Increase As The Consumer's Access To The Internet Increases? An Empirical Study In Turkey

The purpose of the study is to investigate whether the level of the Internet experience has a moderating effect on the relationship between e-satisfaction and eloyalty. Because according to the literature, the moderator effect of internet usage level has not been investigated in terms of the relationship between e-satisfaction and eloyalty. Therefore, there is a gap in the literature and this study aims to fill it. Multivariate methods were applied in this study. The level of the Internet experience has been the moderator effect on the relationship between e-satisfaction and e-loyalty. Consumers with low the Internet experience were found to show more e-loyalty than those who had high the Internet experience. As the internet usage increases competition, it is suggested that e-commerce companies should be differentiated from other competitors through e-trust, branding of the web site, use of social media communication channels and participation in social responsibility projects

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Anderson, R. E., and Srinivasan, S. S. (2003), “E-satisfaction and e-loyalty: A Contingency Framework”, Psychology and Marketing, Vol. 20 No.2, pp. 123– 128.

Baron, R. M., and Kenny, D. A. (1986), “The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations”, Journal of personality and social psychology, Vol. 51 No. 6, pp. 1173-1182.

Bai, B., Law, R., and Wen, I. (2008), “The impact of website quality on customer satisfaction and purchase intentions: Evidence from Chinese online visitors”, International journal of hospitality management, Vol. 27 No. 3, pp.391- 402.

Berné, C., Múgica, J. M., and Yagüe, M. J. (2001), “The effect of variety-seeking on customer retention in services”, Journal of Retailing and Consumer Services, Vol. 8 No. 6, pp.335-345.

Blake, B. F., Neuendorf, K. A., and Valdiserri, C. M. (2003), “Innovativeness and variety of internet shopping”, Internet Research, Vol. 13 No. 3, pp. 156-169.

Casidy, R., and Wymer, W. (2016), “A risk worth taking: Perceived risk as moderator of satisfaction, loyalty, and willingness-to-pay premium price”, Journal of Retailing and Consumer Services, Vol. 32, pp. 189-197.

Chang, H. H., and Chen, S. W. (2008), “The impact of customer interface quality, satisfaction and switching costs on e-loyalty: Internet experience as a moderator”, Computers in Human Behavior, Vol. 24 No. 6, pp. 2927-2944.

Chiou, J. S. (2004), “The antecedents of consumers’ loyalty toward Internet service providers”, Information and Management, Vol. 41 No. 6, pp. 685-695.

Christodoulides, G., and Michaelidou, N. (2010), “Shopping motives as antecedents of e-satisfaction and e-loyalty”, Journal of Marketing Management, Vol. 27 No.1-2, pp. 181-197.

Cohen, J. (1988), “Statistical Power Analysis for the Behavioral Sciences (2nd ed.)”, Hillsdale, NJ: Lawrence Erlbaum.

Cohen, J. (1962), “The statistical power of abnormal-social psychological research: a review”, The Journal of Abnormal and Social Psychology, Vol. 65 No. 3, pp. 145- 153.

Corbitt, B. J., Thanasankit, T., and Yi, H. (2003), “Trust and e-commerce: a study of consumer perceptions”, Electronic commerce research and applications, Vol. 2 No. 3, pp. 203-215.

Cyr, D., Kindra, G. S., and Dash, S. (2008), “Web site design, trust, satisfaction and eloyalty: the Indian experience”, Online Information Review, Vol. 32 No. 6, pp. 773-790.

Çokluk, Ö., Şekercioğlu, G., and Büyüköztürk, Ş. (2010), “Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları”, Pegem Akademi.

Dharmesti, M. D. D., and Nugroho, S. S. (2013), “The antecedents of online customer satisfaction and customer loyalty”, Journal of Business and Retail Management Research, Vol. 7 No. 2.

E Porter, M. (1998), “Competitive strategy: Techniques for analyzing industries and competitors”, Free press.

Evanschitzky, H., Iyer, G. R., Hesse, J., and Ahlert, D. (2004), “E-satisfaction: a reexamination”, Journal of retailing, Vol. 80 No.3, pp. 239-247.

Forgas-Coll, S., Palau-Saumell, R., Sánchez-García, J., and Fandos-Roig, J. C. (2013), “Airline website loyalty formation and the moderating effects of gender and education”, Service Business, Vol. 7 No.2, pp. 255-274.

Forgas, S., Palau, R., Sánchez, J., and Huertas-García, R. (2012), “Online drivers and offline influences related to loyalty to airline websites”, Journal of Air Transport Management, Vol. 18 No. 1, pp. 43-46.

Hair Joseph F. Jr., Black William C., Babin Barry J. ve Anderson Rolph E., (2014), “Multivariate Data Analysis”, Seventh Edition, Pearson New İnternational Edition Han, H., Kim, Y., and Kim, E. K. (2011), “Cognitive, affective, conative, and action loyalty: Testing the impact of inertia”, International Journal of Hospitality Management, Vol.30 No.4, pp. 1008-1019.

Harris, L. C., and Goode, M. M. (2004), “The four levels of loyalty and the pivotal role of trust: a study of online service Dynamics”, Journal of retailing, Vol.80 No.2, pp. 139-158.

Hayes Andrew F., (2013), “Introduction to Mediation, Moderation and Conditional Process Analysis A Regression – Based Approach”, The Guildford Press

Hayes, A. F., and Rockwood, N. J. (2016), “Regression-based statistical mediation and moderation analysis in clinical research: Observations, recommendations, and implementation”, Behaviour Research and Therapy.

Hernández, B., Jiménez, J., and Martín, M. J. (2010), “Customer behavior in electronic commerce: The moderating effect of e-purchasing experience”, Journal of business research, Vol. 63 No.9, pp. 964-971.

Hsin Chang, H., and Wang, H. W. (2011), “The moderating effect of customer perceived value on online shopping behaviour”, Online Information Review, Vol. 35 No.3, pp. 333-359.

Keskin, B. (2012), “İstatistiksel Güç Analizi: Sosyal Bilimler Alanında Bir Uygulama”, Akdeniz Üniversitesi Sosyal Bilimler Enstitüsü, İşletme Anabilim Dalı Yüksek Lisans Tezi, Antalya

Kemp, S. (2016), “Digital In 2016. We are social’s compendium of global digital, social, and mobile data, trends, and statistics”, We are social.

Kim, J. S., Kaye, J., and Wright, L. K. (2001), “Moderating and mediating effects in causal models”, Issues in Mental Health Nursing, Vol. 22 No. 1, pp. 63-75.

Koh, Y. J., and Sundar, S. S. (2010), “Effects of specialization in computers, web sites, and web agents on e-commerce trust”, International journal of human-computer studies, Vol. 68 No.12, pp. 899-912.

Kraemer, H. C., Stice, E., Kazdin, A., Offord, D., and Kupfer, D. (2001), “How do risk factors work together? Mediators, moderators, and independent, overlapping, and proxy risk factors”, American journal of psychiatry, Vol. 158 No. 6, pp. 848-856.

Ladhari, R., and Leclerc, A. (2013), “Building loyalty with online financial services customers: Is there a gender difference?”, Journal of Retailing and Consumer Services, Vol. 20 No.6, pp. 560-569.

Lamont, M., and Jenkins, J. (2013), “Segmentation of cycling event participants: A twostep cluster method utilizing recreation specialization”, Event Management, Vol. 17 No.4, pp. 391-407.

Laroche, M., Habibi, M. R., and Richard, M. O. (2013), “To be or not to be in social media: How brand loyalty is affected by social media?”, International Journal of Information Management, Vol. 33 No. 1, pp. 76-82.

Lee, H., Choi, S. Y., and Kang, Y. S. (2009), “Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety”, Expert Systems with Applications, Vol. 36 No.4, pp. 7848-7859.

Lindley, P., and Walker, S. N. (1993), “Theoretical and methodological differentiation of moderation and mediation”, Nursing Research, Vol. 42 No. 5, pp. 276-279.

López-Miguens, M. J., and Vázquez, E. G. (2017), “An integral model of e-loyalty from the consumer's perspective”, Computers in Human Behavior, Vol. 72, pp. 397- 411.

Maurer, S. M., and Huberman, B. A. (2003), “Competitive dynamics of web sites”, Journal of Economic Dynamics and Control, Vol. 27 No.11, pp. 2195- 2206.

Michailidou, C., Maheras, P., Arseni-Papadimititriou, A., Kolyva-Machera, F., and Anagnostopoulou, C. (2009), “A study of weather types at Athens and Thessaloniki and their relationship to circulation types for the cold-wet period, part I: two-step cluster analysis”, Theoretical and applied climatology, Vol. 97 No.1-2, pp. 163-177.

Nakip, Mahir, (2013), “Pazarlamada Araştırma Teknikleri”, 7. Baskı, Seçkin Yayınevi Nysveen, H., and Pedersen, P. E. (2004), “An exploratory study of customers' perception of company web sites offering various interactive applications: moderating effects of customers' Internet experience”, Decision Support Systems, Vol. 37 No.1, pp. 137-150.

Malhotra, Naresh K., (2007), “Marketing Research An Applied Orientation”, 5. Edition, Prentice Hall.

Oliveira, T., Alhinho, M., Rita, P., and Dhillon, G. (2017), “Modelling and testing consumer trust dimensions in e-commerce”, Computers in Human Behavior, Vol. 71, pp. 153-164.

Nadeem, W., Andreini, D., Salo, J., and Laukkanen, T. (2015), “Engaging consumers online through websites and social media: A gender study of Italian Generation Y clothing consumers”, International Journal of Information Management, Vol. 35 No.4, pp. 432-442.

Nisar, T. M., and Whitehead, C. (2016), “Brand interactions and social media: Enhancing user loyalty through social networking sites”, Computers in Human Behavior, Vol. 62, pp. 743-753.

Rodgers, W., Negash, S., and Suk, K. (2005), “The moderating effect of online experience on the antecedents and consequences of online satisfaction”, Psychology and Marketing, Vol. 22 No.4, pp. 313-331.

Safa, N. S., and Ismail, M. A. (2013), “A customer loyalty formation model in electronic commerce”, Economic Modelling, Vol. 35, pp. 559-564.

Shankar, V., Smith, A. K., and Rangaswamy, A. (2003), “Customer satisfaction and loyalty in online and offline environments”, International journal of research in marketing, Vol. 20 No.2, pp. 153-175.

Shaw, C. W., and Lin, S. W. (2006). “The antecedents of consumers’ loyalty toward online stores”, In 11th Annual Conference of Asia Pacific Decision Sciences Institute, Hong Kong, pp. 14-18.

Shin, S. I., Lee, K. Y., and Yang, S. B. (2016), “How do uncertainty reduction strategies influence social networking site fan page visiting? Examining the role of uncertainty reduction strategies, loyalty and satisfaction in continuous visiting behavior”, Telematics and Informatics.

Toms, E. G., and Taves, A. R. (2004), “Measuring user perceptions of web site reputation”, Information Processing and Management, Vol. 40 No.2, pp. 291-317.

Tsiptis, K., and Chorianopoulos, A. (2009), “Data mining techniques in CRM: Inside customer segmentation”, Chichester: John Wiley and Sons.

United Nations Conference on Trade and Development, Information Economy Report, 2015

Varma Citrin, A., Sprott, D. E., Silverman, S. N., and Stem Jr, D. E. (2000), “Adoption of Internet shopping: the role of consumer innovativeness”, Industrial management and data systems, Vol. 100 No.7, pp. 294-300.

Yilmaz, K. G., Gungordu, A., Ayci, A., & Yumusak, T. (2016), E-Commerce Adoption as a Predictor of the Perceived Strategic Value of E-Commerce among ECommerce Adopter SMEs in Turkey, International Journal of Managerial Studies and Research (IJMSR), Vol:4:3, pp.35-43

Wu, A. D., and Zumbo, B. D. (2008), “Understanding and using mediators and moderators”, Social Indicators Research, Vol. 87 No.3, pp. 367-392.