A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis. Issue 9 (27th July 2020)

• Record Type: Journal Article
• Authors: Sharma, Deepika; Taggar, Rashi; Bindra, Sunali; Dhir, Sanjay
• Is Part Of: Benchmarking. Volume 27:Issue 9(2020)
• Page Start: 2649
• Page End: 2677
• Publication Date: 2020-07-27
• Subjects: Bibliometric -- Responsiveness -- Retailer responsiveness -- Satisfaction -- Seven step methodology -- TCCM; Benchmarking (Management) -- Periodicals; Total quality management -- Periodicals; 658.562
• DOI: 10.1108/BIJ-12-2019-0539
• Languages: English
• ISSNs: 1463-5771

Abstract

Abstract : Purpose: This paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline. Design/methodology/approach: A seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time. Findings: The search for a suitable dataset retrieved 642 documents by identifying "1969" as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers. Originality/value: The study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.