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Outcomes of Perceived Online Webshop Quality: Empirical Evidence

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  • Alexander Joseph Ibnu Wibowo

    (Universitas Prasetiya Mulya, School of Business and Economics)

Abstract

Purpose – Despite tremendous growth of e-commerce, there are reports of concerns about the quality of products and services in online transactions. This study evaluates customer perceptions of product quality in online circumstances. Specifically, the study proposes a model for analyzing the prominent outcomes of perceived webshop quality. Design/Methodology/Approach – The data was obtained through an online survey using a structured questionnaire administered to 515 online customers. Furthermore, regression analyses tested the causal relationship proposed in the hypothesis. Findings and implications – The study found that both the dimensions of product quality and webshop quality affect customer loyalty and satisfaction. Besides, satisfaction and trust affect loyalty. Results also reveal that satisfaction affects trust. On the other hand, product quality has not been shown to affect customer trust. Limitations – Since there is no online customer database, a public online survey with screening questions was used. The sample consists only of the representatives of the student population who have purchased products online. As the sample may not reflect the entire population of online consumers worldwide, caution is to be applied when generalizing the findings. Originality – This study contributes the existing knowledge about how perceptions of quality, satisfaction, and trust combine to increase loyalty in the case of e-commerce. This is a step towards expanding and contextualizing research on perceived quality and its outcomes in a non-traditional Eastern context. This paper provides marketers with valuable insights into the perceptions and attitudes of young online shoppers.

Suggested Citation

  • Alexander Joseph Ibnu Wibowo, 2021. "Outcomes of Perceived Online Webshop Quality: Empirical Evidence," Tržište/Market, Faculty of Economics and Business, University of Zagreb, vol. 33(2), pages 149-164.
  • Handle: RePEc:zag:market:v:33:y:2021:i:2:p:149-164
    DOI: 10.22598/mt/2021.33.2.149
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    References listed on IDEAS

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    1. Rose, Susan & Clark, Moira & Samouel, Phillip & Hair, Neil, 2012. "Online Customer Experience in e-Retailing: An empirical model of Antecedents and Outcomes," Journal of Retailing, Elsevier, vol. 88(2), pages 308-322.
    2. Shin, Jae Ik & Chung, Ki Han & Oh, Jae Sin & Lee, Chang Won, 2013. "The effect of site quality on repurchase intention in Internet shopping through mediating variables: The case of university students in South Korea," International Journal of Information Management, Elsevier, vol. 33(3), pages 453-463.
    3. Urvashi Tandon & Ravi Kiran & Ash Sah, 2017. "Analyzing customer satisfaction: users perspective towards online shopping," Nankai Business Review International, Emerald Group Publishing Limited, vol. 8(3), pages 266-288, August.
    4. McCole, Patrick & Ramsey, Elaine & Williams, John, 2010. "Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns," Journal of Business Research, Elsevier, vol. 63(9-10), pages 1018-1024, September.
    5. Muhammad Waleed Ayub Ghouri & Linchen Tong & Muhammad Ali Hussain, 2021. "Does Online Ratings Matter? An Integrated Framework to Explain Gratifications Needed for Continuance Shopping Intention in Pakistan," Sustainability, MDPI, vol. 13(17), pages 1-24, August.
    6. Changsu Kim & Weihong Zhao & Kyung H. Yang, 2008. "An Empirical Study on the Integrated Framework of e-CRM in Online Shopping: Evaluating the Relationships Among Perceived Value, Satisfaction, and Trust Based on Customers' Perspectives," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 6(3), pages 1-19, July.
    7. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    8. Jaiswal, Anand K. & Niraj, Rakesh & Venugopal, Pingali, 2010. "Context-general and Context-specific Determinants of Online Satisfaction and Loyalty for Commerce and Content Sites," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 222-238.
    9. Hajli, Nick, 2015. "Social commerce constructs and consumer's intention to buy," International Journal of Information Management, Elsevier, vol. 35(2), pages 183-191.
    10. Fu, Hanliang & Manogaran, Gunasekaran & Wu, Kuang & Cao, Ming & Jiang, Song & Yang, Aimin, 2020. "Intelligent decision-making of online shopping behavior based on internet of things," International Journal of Information Management, Elsevier, vol. 50(C), pages 515-525.
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