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Exploring the intention to continue using web-based self-service

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  • Tseng, Shu-Mei

Abstract

The popularization of Internet and the development of cloud computing have not only changed our lifestyles, but have impacted the ways in which enterprises relate with their customers. For example, customers and enterprises can now directly interact through web-based self-services (e.g., Internet banking, online ticketing, online bookstores, and online reservations) that do not require face-to-face interactions. Web-based self-services (WBSS) allow enterprises to proactively initiate contacts with customers and respond to their needs. Customers can also quickly access the services they want online, at any time and place, thus enhancing overall service efficiency. However, a review of the previous literature shows that most related studies have used the Technology Acceptance Model, which examines perceived usefulness, perceived ease of use and attitude toward use, in order to investigate user behaviors when operating a WBSS. In contrast, there are few studies that examine the impact of perceived usefulness and perceived quality features on the continued intention to use a WBSS. Therefore, this study applied the questionnaire method and investigated the relationships among users’ perceived usage characteristics, quality characteristics, satisfaction and continued usage intention with regard to WBSS. Based on the results, specific recommendations are provided for enterprises to enhance the intention to continue using WBSS.

Suggested Citation

  • Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    • Handle: RePEc:eee:joreco:v:24:y:2015:i:c:p:85-93
    DOI: 10.1016/j.jretconser.2015.02.001
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    References listed on IDEAS

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    1. Guan, Xinhua & Xie, Lishan & Shen, Wen-Guo & Huan, Tzung-Cheng, 2021. "Are you a tech-savvy person? Exploring factors influencing customers using self-service technology," Technology in Society, Elsevier, vol. 65(C).
    2. Yuen, Kum Fai & Wang, Xueqin & Ma, Fei & Wong, Yiik Diew, 2019. "The determinants of customers’ intention to use smart lockers for last-mile deliveries," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 316-326.
    3. Oyedele, Adesegun & Simpson, Penny M., 2018. "Streaming apps: What consumers value," Journal of Retailing and Consumer Services, Elsevier, vol. 41(C), pages 296-304.
    4. Sharma, Mahak & Antony, Rose & Sehrawat, Rajat & Cruz, Angel Contreras & Daim, Tugrul U., 2022. "Exploring post-adoption behaviors of e-service users: Evidence from the hospitality sector /online travel services," Technology in Society, Elsevier, vol. 68(C).
    5. Prakash Singh & Lokesh Arora & Abdulaziz Choudhry, 2022. "Consumer Behavior in the Service Industry: An Integrative Literature Review and Research Agenda," Sustainability, MDPI, vol. 15(1), pages 1-30, December.
    6. Liao, Ziqi & Shi, Xinping, 2017. "Web functionality, web content, information security, and online tourism service continuance," Journal of Retailing and Consumer Services, Elsevier, vol. 39(C), pages 258-263.
    7. Perengki Susanto & Mohammad Enamul Hoque & Verselly Nisaa & Md Asadul Islam & Yusniza Kamarulzaman, 2023. "Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model," SAGE Open, , vol. 13(3), pages 21582440231, July.
    8. Shahid, Shadma & Islam, Jamid Ul & Malik, Shehla & Hasan, Uzma, 2022. "Examining consumer experience in using m-banking apps: A study of its antecedents and outcomes," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    9. Roy, Sanjit Kumar & Balaji, M S & Sadeque, Saalem & Nguyen, Bang & Melewar, T C, 2017. "Constituents and consequences of smart customer experience in retailing," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 257-270.

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