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Record W2116999982 · doi:10.1177/0149206312455245

Self-Reported Limitations and Future Directions in Scholarly Reports

2012· article· en· W2116999982 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsConstruct (python library)PsychologyManagement sciencePoint (geometry)Resource (disambiguation)Knowledge managementComputer scienceEngineering ethics

Abstract

fetched live from OpenAlex

The authors content analyzed self-reported limitations and directions for future research in 1,276 articles published between 1982 and 2007 in the Academy of Management Journal, Administrative Science Quarterly , the Journal of Applied Psychology , the Journal of Management , and the Strategic Management Journal . In order of frequency, the majority of self-reported limitations, as well as directions for future research, pertains to threats to internal, external, and construct validity issues, and there is a significant increase in the reporting of these elements over time. Longitudinal analyses revealed that some of these increases varied across management subfields (i.e., business policy and strategy, organizational behavior, organizational theory, and human resource management), indicating unique research contexts within some research domains. Based on the analyses of self-reported limitations and future research directions, the authors offer eight guidelines for authors, reviewers, and editors. These guidelines refer to the need for authors to report limitations and to use a separate section for them and the need for reviewers to list limitations in their evaluations of manuscripts; authors and reviewers should prioritize limitations, and authors should report them in a way that describes their consequences for the interpretation of results. The guidelines for directions for future research focus on positioning them as a starting point for future research endeavors and for the advancement of theoretical issues. The authors also offer recommendations on how to use limitations and future research directions for the training of researchers. It is hoped that the adoption of these proposed guidelines and recommendations will maximize their value so that they can serve as true catalysts for further scientific progress in the field of management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.597
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.217
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it