Compulsive Buying Behavior: A Review and Research Agenda
Bhuvanesh Kumar Sharma et al.
Abstract
This study performs a systematic literature review (SLR) and synthesis of literature on compulsive buying based on the Theory‐Context‐Characteristics‐Method (TCCM) framework. Accordingly, we synthesize 103 scholarly articles from top tier journals on compulsive buying behavior (CBB) in terms of publication trends, study domain, authorship, frequently used theories, countries involved, and research methods adopted for the last 36 years (1989–2024). Further, to systematically uncover latent patterns, recurring concepts, and thematic clusters within a large body of compulsive buying literature, we employed lexicometric analysis using Iramuteq software. Additionally, word cloud analysis was carried out to visually identify the focus areas and portray the frequently used keywords clustering in eight different time spans. An integrated conceptual framework was also developed by integrating the antecedents, mediators, and consequences of compulsive buying literature. The study reported limited investigation to get more information on the effect of sociocultural factors, financial factors, and product characteristics on CBB. Therefore, further research can be focused on these areas. Lexicometric analysis reported six major themes and five clusters comprised of consumer‐related attributes, product‐related attributes, the role of financial institutions, marketing strategies, and research methods under compulsive buying. This review identifies areas that are underexplored in the compulsive buying domain and recommends ways in which research can be advanced. Overall, this SLR significantly contributes to compulsive buying literature by providing both academic and practical implications.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.