Consumer behavior research in the 21st century: Clusters, themes, and future research agenda
Bibliographic record
Abstract
Abstract This study provides a quantitative overview of contemporary consumer behavior research in the 21st century (2001–2020) to inform future research directions in consumer behavior research. Using co‐citation analyses, this study identifies the most cited authors, publications, and academic journals in consumer behavior research in each of four 5‐year intervals in 2001–2020 to profile research themes and relationships among different research clusters. Key research themes are then mapped based on co‐citation matrices. The results show that major research themes in consumer behavior research in the last two decades have shifted from the focus on fundamentals of consumer behavior, consumers' decision‐making process, development of more robust measures and analytical methods to the focus on service quality and consumer satisfaction, online consumer behavior and virtual communities, sustainable consumption, as well as the experiential aspects of consumer behavior. The findings help map the invisible knowledge network embedded in contemporary consumer behavior research and shed light on future research agenda in consumer behavior studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.018 | 0.035 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".