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Evaluation of eTail Services Quality: AHP Approach

Author

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  • Chetan A. Jhaveri
  • Jitendra M. Nenavani

Abstract

The purpose of this research study is to create comparative evaluation model to compare eTail firms across several eTail service quality dimensions. This research paper employs Analytical Hierarchy Process (AHP) for analysing decision problem into several stages which include objective, criteria and the alternatives to evaluate eTail service organizations. Non-probabilistic method of sampling was used to collect the responses. This study validated the formal e-Tailing quality scale eTailQ, with an alteration which resulted into its suitability in the Indian context. After validating the scale, four variables were taken for pair-wise comparison, namely website design, fulfilment/ reliability, security/ privacy and customer services. Results of this study imparts a better understanding of consumer preferences among different eTail service quality dimensions. This research would be helpful to practitioners in eTail industry to measure the quality of their services in comparison to their competitors. Since many eTail organizations have attained scale and volumes but are struggling to reach at sustainable stage, this research may be helpful to bring those organizations at sustainability by knowing which factor should be given more focus. The analysis of best alternative with given criteria by deploying AHP technique is first-ever done on e-Tail scale in India.

Suggested Citation

  • Chetan A. Jhaveri & Jitendra M. Nenavani, 2020. "Evaluation of eTail Services Quality: AHP Approach," Vision, , vol. 24(3), pages 310-319, September.
    • Handle: RePEc:sae:vision:v:24:y:2020:i:3:p:310-319
    DOI: 10.1177/0972262919898093
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    References listed on IDEAS

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    1. Pei-Yu (Sharon) Chen & Lorin M. Hitt, 2002. "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry," Information Systems Research, INFORMS, vol. 13(3), pages 255-274, September.
    2. Kim, Jiyoung & Jin, Byoungho & Swinney, Jane L., 2009. "The role of etail quality, e-satisfaction and e-trust in online loyalty development process," Journal of Retailing and Consumer Services, Elsevier, vol. 16(4), pages 239-247.
    3. Balabanis, George & Reynolds, Nina & Simintiras, Antonis, 2006. "Bases of e-store loyalty: Perceived switching barriers and satisfaction," Journal of Business Research, Elsevier, vol. 59(2), pages 214-224, February.
    4. S. Rolland & Ina Freeman, 2010. "A new measure of e-service quality in France," Post-Print hal-00576616, HAL.
    5. Ladhari, Riadh, 2010. "Developing e-service quality scales: A literature review," Journal of Retailing and Consumer Services, Elsevier, vol. 17(6), pages 464-477.
    6. Fatemeh Zahedi, 1986. "The Analytic Hierarchy Process---A Survey of the Method and its Applications," Interfaces, INFORMS, vol. 16(4), pages 96-108, August.
    7. Bauer, Hans H. & Falk, Tomas & Hammerschmidt, Maik, 2006. "eTransQual: A transaction process-based approach for capturing service quality in online shopping," Journal of Business Research, Elsevier, vol. 59(7), pages 866-875, July.
    8. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    9. repec:dau:papers:123456789/4623 is not listed on IDEAS
    10. Blut, Markus, 2016. "E-Service Quality: Development of a Hierarchical Model," Journal of Retailing, Elsevier, vol. 92(4), pages 500-517.
    11. Hildebrandt, Lutz, 1987. "Consumer retail satisfaction in rural areas: A reanalysis of survey data," Journal of Economic Psychology, Elsevier, vol. 8(1), pages 19-42, March.
    12. Catherine Demangeot & Amanda J. Broderick, 2016. "Engaging customers during a website visit: a model of website customer engagement," Post-Print hal-01562986, HAL.
    13. Forman, Ernest & Peniwati, Kirti, 1998. "Aggregating individual judgments and priorities with the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 108(1), pages 165-169, July.
    14. Naresh K. Malhotra & Sung S. Kim & James Agarwal, 2004. "Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model," Information Systems Research, INFORMS, vol. 15(4), pages 336-355, December.
    15. Sicilia, Maria & Ruiz, Salvador, 2010. "The Effect of Web-Based Information Availability on Consumers' Processing and Attitudes," Journal of Interactive Marketing, Elsevier, vol. 24(1), pages 31-41.
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    Cited by:

    1. Jingsong Zhang & Hai Yang & Xinguo Xu, 2023. "Research on Service Design of Garbage Classification Driven by Artificial Intelligence," Sustainability, MDPI, vol. 15(23), pages 1-16, November.
    2. Marko Šostar & Vladimir Ristanović, 2023. "An Assessment of the Impact of the COVID-19 Pandemic on Consumer Behavior Using the Analytic Hierarchy Process Model," Sustainability, MDPI, vol. 15(20), pages 1-31, October.

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