Performance Analysis on Electronic Service Quality Apparel Attributes in E-commerce Industry Using Bibliometric Analysis
- DOI
- 10.2991/978-94-6463-162-3_16How to use a DOI?
- Keywords
- E-commerce industry; Apparel attributes; Performance analysis; Bibliometric analysis; E-service quality
- 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.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - P. Krithika AU - S. Vasantha PY - 2023 DA - 2023/05/10 TI - Performance Analysis on Electronic Service Quality Apparel Attributes in E-commerce Industry Using Bibliometric Analysis BT - Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023) PB - Atlantis Press SP - 178 EP - 192 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-162-3_16 DO - 10.2991/978-94-6463-162-3_16 ID - Krithika2023 ER -