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Record W2562020581 · doi:10.4135/9781446280669.n2

Organizational Legitimacy: SixKey Questions

2017· book-chapter· en· W2562020581 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

Venuenot available
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsLegitimacyKey (lock)Political scienceComputer scienceLawComputer securityPolitics

Abstract

fetched live from OpenAlex

Legitimacy is a fundamental concept of organizational institutionalism. It influences how organizations behave and has been shown to affect their performance and survival (Pollock & Rindova, 2003; Singh, Tucker, & House, 1986). As developed in organizational institutionalism the term has spread widely across the social sciences, and because of this, our current understandings of legitimacy and how it is managed are much more nuanced and elaborate than portrayed in early institutional accounts. In this chapter, we seek to bring greater clarity and order to the growing and sometimes confusing literature, focusing on the conceptualization of legitimacy itself and how it changes over time.This chapter builds from the previous edition (Deephouse & Suchman, 2008, available online at www.sage.org/organizational institutionalism/legitimacy). In updating that chapter we reviewed 1299 publications and conference papers that had the string “legitim” in the title, abstract, or keywords. Reflecting the reach and power of legitimacy, these publications included books and a wide range of journals and across a wide range of disciplines (e.g., communication, political science, public administration, and sociology -- not just management). Our goal was both to identify both broad trends in theory and research and possible theoretical innovations and also to highlight important applications for scholars in organizational institutionalism. From this review we identified six central questions around which this chapter is arranged: What is organizational legitimacy? Why does legitimacy matter? Who confers legitimacy, and how? What criteria are used (for making legitimacy evaluations)? How does legitimacy change over time? These questions are shown in Figure 1.1. Our final section asks “Where do we go from here?” and offers suggestions for future research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0300.010

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 head0.020
GPT teacher head0.215
Teacher spread0.195 · 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

Quick stats

Citations674
Published2017
Admission routes1
Has abstractyes

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