Performance Analysis on Electronic Service Quality Apparel Attributes in E-commerce Industry Using Bibliometric Analysis

P. Krithika and S. Vasantha ()
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P. Krithika: Vels Institute of Science, Technology and Advanced Studies, (VISTAS), School of Management Studies
S. Vasantha: Vels Institute of Science, Technology and Advanced Studies, (VISTAS), School of Management Studies

A chapter in Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023), 2023, pp 178-192 from Springer

Abstract: Abstract “E-commerce websites” is a prominent topic due to the state and boost of the e-commerce industry sales growth in recent times. The study’s objective is to employ performance analysis to clarify the electronic attributes of apparel. This study conducts a bibliometric evaluation of the time 2001–2020. 1462 paper reports are retrieved from the ScienceDirect database. R Studio is employed to analyze the data. Firstly, observe the literature on the electronic quality apparel attributes, and their distribution over time is substantial. Secondly, Performance analysis is employed to determine the top 5 most valuable masterpiece articles, journals, and researchers that have published the most papers. Performance evaluations assess the impact of academic players (articles, researchers, and journals) on academic fields. A combination of quantitative and qualitative metrics uses to evaluate performance measurements. The third benefit of keyword performance analysis is that it identifies the intersection between the author and indexed keywords, which will help future research and also help researchers better understand the trending keywords in the study area. The crucial findings include top masterpiece researchers, journals, articles, and trending keywords that describe the contributions of a research study. Lastly, the study determines which research areas have the highest opportunities for future research.

Keywords: E-commerce industry; Apparel attributes; Performance analysis; Bibliometric analysis; E-service quality (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-162-3_16

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DOI: 10.2991/978-94-6463-162-3_16

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