独创性
文献计量学
范围(计算机科学)
系统回顾
概念框架
管理科学
领域(数学)
社会学
知识管理
数据科学
定性研究
计算机科学
社会科学
经济
政治学
图书馆学
数学
梅德林
纯数学
法学
程序设计语言
作者
Debidutta Pattnaik,Satish Kumar,Ashutosh Vashishtha
出处
期刊:Qualitative Research in Financial Markets
[Emerald (MCB UP)]
日期:2020-06-13
卷期号:12 (4): 367-390
被引量:40
标识
DOI:10.1108/qrfm-09-2019-0103
摘要
Purpose Trade credit (TC) is a financing provision by non-financing firms. The multi-disciplinary research field has sustained scholarly attention for long. Pursuant to the gap for a comprehensive summary of the literature confined to the areas of Finance and Economics, this study aims to provide quantitative and qualitative insights not fully captured or analysed in previous reviews. Design/methodology/approach Contextualized systematic literature review (SLR) and bibliometric techniques are used to map the thematic, intellectual and conceptual structures latent in 138 articles published in top journals. Findings The top authors, top journals and major themes are recognized using bibliometric techniques followed by an in-depth bibliographic-network-based-content-analysis. Five major clusters indicating the five research dimensions within the specialized field are identified and extensively reviewed. Empirical validation of key theories is discussed in the contents and a conceptual model is developed. Finally, the study has identified key research gaps to set the direction for future research. Research limitations/implications The scope of the literature selection is confined to the areas of finance and economics. Future studies could elaborate on a broader perspective. Originality/value The study contributes by offering a conceptual model latent in the literature on TC. It derives major research gaps to set the direction of future research. Also, the combination of SLR and bibliometrics is a methodological contribution in this research domain.
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