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Record W3037350976 · doi:10.6084/m9.figshare.12612908

How Control Configurations and Enactments Shape Legitimacy Perceptions and Compliance Intentions in IS Development Projects

2020· article· en· W3037350976 on OpenAlexaff
Roman Walser, W. Alec Cram, Edward Bernroider, Martin Wiener

Bibliographic record

VenueFigshare · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCompliance (psychology)LegitimacyPerceptionControl (management)PsychologySocial psychologyApplied psychologyComputer sciencePolitical scienceArtificial intelligence

Abstract

fetched live from OpenAlex

<i>Managers choose and implement controls to promote employee behavior that contributes to IS development (ISD) project success. Still, ISD project failure rates remain high, suggesting that project controls employed are often not effective. In this regard, existing IS project control research commonly considers how managers configure controls (in terms of control modes and degree) and enact them (control style), whereas the role of employees’ perceptions of the legitimacy of enacted controls remains largely neglected. To address this shortcoming, we conducted a vignette study with 232 participants to quantitatively test a set of hypotheses on how different control modes, degrees, and styles impact employees’ legitimacy perceptions, and ultimately their compliance intentions. Our analysis reveals a significant impact of all three control dimensions on legitimacy perceptions. Moreover, we identify a positive link between legitimacy perceptions and compliance intentions. To increase control effectiveness, our results thus suggest that managers should choose and implement ISD controls in a way that employees perceive as being just and providing them with autonomy.</i>

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.

How this classification was reachedexpand

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.985

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 studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.000

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 head0.221
GPT teacher head0.305
Teacher spread0.084 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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