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首页> 外文期刊>Indian Journal of Science and Technology >Online Store Selection Attributes and Patronage Intentions: An Empirical Analysis of the Indian E-Retailing Industry
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Online Store Selection Attributes and Patronage Intentions: An Empirical Analysis of the Indian E-Retailing Industry

机译:网上商店的选择属性和惠顾意图:对印度电子零售业的实证分析

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Objectives: This research aims to develop a multi-criteria based evaluation and subsequent prioritization of online retail patronage attributes of Indian consumers for improving the performance of the online stores. Methods/Statistical Analysis: The relative importance and ranking of online retail patronage intentions of Indian customers were done through a literature review, discussion with experts, and the Analytical Hierarchy Process (AHP) approach. In all, 16 e-retail attributes were identified and further divided into five-factor categories. Then their prioritization was done using AHP approach in the context of the Indian e-retailing industry to overcome the drawbacks of perception based evaluation measures. Findings: The empirical results suggest that Indian customers place a very high importance on outcome quality followed by service recovery. The results of the study support the notion that Indian consumers are more utilitarian and are more apprehensive about the risks of online transaction in the context of Indian culture which is predominantly skewed towards uncertainty avoidance. As online retail store managers cannot allocate equal amounts of efforts and resources to each individual online store attributes due to the limitation of resources, the findings of this study will help online retail managers in providing insights into patronizing intentions of Indian customers towards online store attributes. The results of the study also offer Indian retail managers in effective utilization of scarce resources in developing online stores considering the Indian culture and context. Application/Improvements: The results will help managers to focus and improve the performance of the online stores based on relative importance and patronage intentions of Indian customers.
机译:目标:这项研究旨在开发基于多标准的评估,并随后对印度消费者的在线零售顾客属性进行优先排序,以提高在线商店的绩效。方法/统计分析:通过文献综述,与专家讨论以及层次分析法(AHP),确定了印度客户在线零售光顾意向的相对重要性和排名。总共确定了16个电子零售属性,并进一步分为五因素类别。然后,在印度电子零售业的背景下,使用AHP方法确定了它们的优先级,以克服基于感知的评估方法的缺点。调查结果:实证结果表明,印度客户对结果质量以及服务恢复非常重视。该研究的结果支持以下观点:印度消费者在更加偏重于避免不确定性的印度文化背景下,更具有实用性,并且对在线交易的风险更加担忧。由于资源的限制,由于在线零售商店经理无法为每个单独的在线商店属性分配同等的工作量和资源,因此本研究的结果将帮助在线零售经理提供有关印度客户光顾在线商店属性的意向的见解。该研究结果还为印度零售经理提供了在考虑印度文化和背景的情况下有效利用稀缺资源来开发在线商店的方法。应用/改进:该结果将帮助管理人员根据印度客户的相对重要性和光顾意向,集中精力并提高在线商店的绩效。

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