The DOI matches its Crossref record.
Walking New Avenues in Management Research Methods and Theories: Bridging Micro and Macro Domains
Open accessAbstract
One of the most critical challenges faced by management scholars is how to integrate micro and macro research methods and theories. This article introduces a special issue of the Journal of Management addressing this integration challenge. First, the authors describe the nature of the micro—macro divide and its challenge for the field of management. Second, the authors provide a summary of each of the four guest editorials and seven articles published in the special issue and how each piece, in its own unique way and adopting a different perspective, makes a novel contribution toward addressing this challenge. Finally, they offer suggestions for future research that they hope will stimulate greater integration of management research with the goal of bridging not only the micro—macro gap but also the science—practice gap.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
(2010) · doi:10.1787/19939019 · Cited by 885
Learning in the Twenty-First-Century Workplace
Noe, R. A., Clarke, A. D. M., & Klein, H. J. (2014) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-031413-091321 · Cited by 539
It’s about time: New perspectives and insights on time management
Aeon, B., & Aguinis, H. (2017) · Academy of Management Perspectives · doi:10.5465/amp.2016.0166 · Cited by 197
Self-citation
Metadata
- Authors
- Aguinis, H., Boyd, B. K., Pierce, C. A., & Short, J. C.
- Venue
- Journal of Management
- Publisher
- SAGE Publications
- Published
- 2011-01-06
- Volume
- 37
- Issue
- 2
- Pages
- 395-403
- ISSN
- 0149-2063 (ISSN-L)
- 1557-1211
- OpenAlex
- W2096918896
- Cited by
- 236
- References
- 0
- FWCI
- 21.24
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.