Online Alışveriş Sitesi Kaynaklı Müşteri Algılarının Müşteri Memnuniyetine Etkilerinin İncelenmesi

Müşteri memnuniyeti, online alışveriş sitelerinde sürekliliği, karlılığı ve müşteri bağlılığının oluşturulmasında önemli bir yere sahiptir. Bu çalışmada online alışveriş sitelerinden alışveriş yapan müşterilerin memnuniyetini etkileyen online alışveriş sitesi kaynaklı müşteri algılarını belirlemek, bu algılar arasındaki örüntüyü incelemek ve bu kapsamda bir müşteri memnuniyet modeli önermek amaçlanmıştır. İlk olarak alanyazından faydalanılarak müşteri memnuniyetine etki edeceği düşünülen müşteri algıları belirlenmiş ve bir kuramsal model oluşturulmuştur. Daha sonra bu model Gazi Üniversitesi Gazi Eğitim Fakültesi İlköğretim ile Bilgisayar ve Öğretim Teknolojileri Eğitimi (BÖTE) Bölümlerinde okuyan 553 lisans öğrencisinin oluşturduğu çalışma grubundan toplanan verilerle test edilmiştir.  Çalışmanın verileri 21 maddeden oluşan Online Alışveriş Müşteri Algıları ve Müşteri Memnuniyeti Ölçeği (OAMA-MMÖ) ile toplanmış ve açımlayıcı faktör analizi (AFA) ve doğrulayıcı faktör analizi (DFA) teknikleri kullanılarak modelin uygunluğu test edilmiştir. Analizler sonucunda müşteri memnuniyetini güvenlik ve müşteri ilişkileri algılarının etkilediği tespit edilmiştir. Müşteri ilişkileri algısının müşteri memnuniyetini en fazla etkileyen faktör olduğu görülmüştür. Sonuç olarak model doğrulanmış ve bulgular ilgili alanyazın ile karşılaştırılarak araştırmacılar ile yöneticilere öneriler sunulmuştur.

Investigating The Effects Of Customer Perceptions Resulted From Online Shopping Sites On Customer Satisfaction

Customer satisfaction has an important role providing continuity, profitability of online shopping sites and in the development of customer loyalty. The aim of this study is to determine the effects of customer perceptions arising from online shopping sites’ on customers’ satisfaction and to reveal a customer satisfaction model related to customer perceptions. Firstly, the indicators of customer satisfaction about online shopping sites and the customer perceptions thought to influence the customer satisfaction were determined. A theoretical model has been developed to explain the relationship between the online shopping sites based costumer perceptions and customer satisfaction. Working group of the study consists of 553 students from the departments of primary education and computer and instructional technology in Gazi Faculty of Education at the Gazi University. A scale named Online Shopping Customer Perceptions and Satisfaction Scale (OSCPSS)) was developed and used for data collection. The analysis of the data obtained in this study was done by using SPSS and LISREL programs. The theoretical model was tested by using the Explanatory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) techniques. The results of the analyses have been showed that customers perceptions about security and customer relations effect customer satisfaction. Customer relationships perception was found to be the most influencing perception of customer satisfaction. Results were compared with literature results and recommendations were presented to researchers and practitioners.

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  • Akbar, S. ve James, P.T.J. (2014). Consumers’ attitude towards online shopping: Factors influencing employees of crazy domains to shop online. Journal of Management and Marketing Research, 14 (1):1-11.
  • Barutçu, S. (2007). E-Mağazalardan Alış-Verişlerde E-Müşteri Tutumları ve E-Müşteri Memnuniyetini Etkileyen Faktörler. Selçuk Üniversitesi, İ.İ.B.F. Sosyal ve Ekonomik Araştırmalar Dergisi, 7 (14): 219-238.
  • Bitner, M.J. ve Hubbert, A.R. (1994). Encounter satisfaction versus overall satisfaction versus quality. R.T.Rust ve R.L.Oliver (Der.) New Directions in Theory and Practice: İçinde 72-94. USA: Sage.
  • Büyüköztürk, Ş. (2002). Faktör Analizi: Temel Kavramlar ve Ölçek Geliştirmede Kullanımı. Kuram ve Uygulamada Eğitim Yönetimi, 32, 470-483.
  • Büyüköztürk, Ş. (2012). Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum (16. Baskı). Ankara: Pegem Akademi Yayıncılık, 52.
  • Chang, H. H. ve Chen, S.W. (2009). Consumer perception of interface quality, security, and loyalty in electronic commerce. Information ve Management, 46: 411–417.
  • Chellappa, R.K. ve Pavlou, P.A. (2002). Consumter trust in electronic commerce transactions. Logistics Information Management, 15 (5/6): 358–368.
  • Chen, S. (2012). The customer satisfaction–loyalty relation in an interactive e-service setting: The mediators. Journal of Retailing and Consumer Services 19 (202–210).
  • Cole, D. A. ve Maxwell, S. E. (2003). Testing Mediational Models With Longitudinal Data: Questions and Tips in the Use of Structural Equation Modeling. Journal of Abnormal Psychology, 112 (4), 558-577.
  • Corbitt, B.J., Thanasankita, T. ve Yi, H. (2003). Trust and e-commerce: a study of consumer perceptions. Electronic Commerce Research and Applications, 2 (3): 203-215.
  • Çokluk, Ö., Şekercioğlu, G. ve Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik SPSS ve LISREL uygulamaları (Birinci Baskı). Ankara: Pegem Yayıncılık.
  • Durmuş, B., Ulusu, Y. ve Erdem, Ş. (2013). Which dimensions affect private shopping e-customer loyalty? 9th International Strategic Management Conference, 27-29 Haziran 2013, Riga, Letonya.
  • Eid, M.I. (2011). Determinants of E-Commerce Customer Satisfaction, Trust, and Loyalty In Saudi Arabia. Journal of Electronic Commerce Research, 12 (1): 78-93.
  • E-Commerce News (2015). “Ecommerce in Turkey”, http://ecommercenews.eu/ecommerce-per-country/ecommerce-turkey/#market, (21 Mart 2016).
  • Gefen, D. ve Straubb, D.W. (2004). Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services. Omega, 32: 407–424.
  • Haşlaman, T. ve Aşkar, P. (2007). Programlama Dersi İle İlgili Özdüzenleyici Öğrenme Stratejileri ve Başarı Arasındaki İlişkinin İncelenmesi. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 32: 110-122.
  • Hoyle, R.H. (1995). Structural Equation Modeling: Concepts, Issues and Applications, Structural Equation Modeling. USA: Sage,15.
  • Internet World Stats. “Internet Usage and Population Statistics”, http://www.internetworldstats.com/euro/tr.htm, (9 Mayıs 2016).
  • Kassım, N.M. ve Abdullah, N.A. (2008). Customer Loyalty in e-Commerce Settings: An Empirical Study. Electronic Markets, 18 (3): 275-290.
  • Kelloway, E.K. (1998). Using LISREL for Structural Equation Modeling: A Researcher's Guide. USA: Sage.
  • Kim, D.J., Ferrin, D.L. ve Rao, H.R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44: 544–564.
  • Light, D.A.(2001). Sure, you can trust us. MIT Sloan Management Review, 43 (1): 17.
  • Mukhopadhyay, S., Mahmood, M.A. ve Joseph, J.L. (2008). Measuring Internet-Commerce Success: What Factors are Important? Journal of Internet Commerce, 7(1): 1-28.
  • Odom, M.D., Kumar, A. ve Saunders, L. (2002). Web assurance seals: how and why they influence consumers’ decisions. Journal of Information Systems, 16 (2): 231–250.
  • Pan, Y., Sheng, S. ve Xie, F.T. (2012). Antecedents of customer loyalty: An empirical synthesis and reexamination. Journal of Retailing and Consumer Services, 19: 150-158.
  • Poleretzky, Z., Cohn, R. ve Gimnicher, S.M. (January, 1999). The call center ve e-commerce convergence. Call Center Solutions, 76.
  • Quach, T.N., Thaichon, P. ve Jebarajakirthy, C. (2016). Internet service providers' service quality and its effect on customer loyalty of different usage patterns. Journal of Retailing and Consumer Services, 29: 104–113.
  • Ramanathan, R. (2011). An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce. International Journal Production Economics, 130: 255–261.
  • Reichheld, F.F., Markey, R.G. ve Hopton, C. (2000). E-customer Loyalty- applying to rules of traditional business for online success. European Business Journal, 173-179.
  • Srinivasan, S.S., Andersona, R. ve Ponnavolub, K. (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal of Retailing, 78: 41–50.
  • Sorce, P., Perotti, V. ve Widrick, S. (2005). Attitude and age differences in online buying, International Journal of Retail ve Distribution Management, 33(2), 122–132.
  • Su, A.Y.L. (2004). Customer satisfaction measurement practice in Taiwan hotels. International Journal of Hospitality Management, 23 (4): 397-408.
  • SuperOffice (2016). “18 CRM Statistics You Need to Know for 2016”, http://www.superoffice.com/blog/crm-software-statistics/, (23 Mayıs 2016).
  • Sümer, N. (2000). Yapısal Eşitlik Modelleri: Temel kavramlar ve örnek uygulamalar. Türk Psikoloji Yazıları, 3 (6):74-79.
  • Tabachnick, B. G., Fidell, L.S. (2007). Using Multivariate Statistics (5.Baskı). Boston: Pearson/Allyn ve Bacon, 506.
  • Taylor, W. J., Zhu, G. X., Dekkers, J. ve Marshall, S. (2004). Adoption of online purchasing in communities and its socioeconomic implications in regions central Queensland, Australia. Australasian Journal of Information Systems, 11(2), 80–95.
  • Tax, S.S., Brown,S.W. ve Chandrashekaran, M. (1998). Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing. Journal of Marketing, 62(2): 60-76.
  • Teo, S.H.H. ve Liu, J. (2007). Consumer trust in e-commerce in the United States, Singapore and China. Omega, 35: 22–38.
  • Treesinthuros, W. (2012). An Empirical Study of E-commerce Marketing Success. 2012 Tenth International Conference on ICT and Knowledge Engineering, 21-23 Kasım 2012, Bangkok, Tayland.
  • TÜBİSAD (2014). Yıllık Rapor: “Türkiye e-Ticaret Pazarı-2013” http://www.etid.org.tr/haberler/Turkiye-e-ticaret-pazari-buyuklugu-140-Milyar-TL/114/ (25 Mart 2016).
  • Türkiye İstatistik Kurumu (TÜİK). “Girişimlerde Bilişim Teknolojileri Kullanım Araştırması”, http://www.tuik.gov.tr/PreTablo.do?alt_id=1048 (13 Mayıs 2016).
  • Udo, G.J., Bagchi, K.K. ve Kirs, P.J. (2010). An assessment of customers’ e-service quality perception, satisfaction and intention. International Journal of Information Management, 30: 481–492.
  • Van I. J., Van der Wielea, T., Ball, L. ve Robert Millen, R. (2004). Perceptions about the quality of web sites: A survey amongst students at Northeastern University and Erasmus University, Information ve Management, 41, 947–959.
  • Wu, I. (2013). The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust. International Journal of Information Management, 33: 166–176.
  • Yang, Q., Pang, C., Liu, L., Yen, D. C. ve Tarn, J.M. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation. Computers in Human Behavior, 50: 9–24.
  • Yavas, U. (1994). Research note: Students as subjects in advertising and marketing research. International Marketing Review, 11(4), 35–43.
  • Yılmaz, V. ve Çelik H.E., (2009). LISREL ile Yapısal Eşitlik Modellemesi–1 (Birinci Baskı). Ankara: Pegem Akademi, 29.
  • Zeithaml, V.A., Parasuraman, A. ve Malhotra, A. (2000). A conceptual framework for understanding e-service quality: Implications for future research and managerial practice. MSI Working Paper Series 00-115:1-49 Cambridge, Massachusetts, ABD.