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Record W2807926906 · doi:10.1111/joop.12223

Identity leadership going global: Validation of the Identity Leadership Inventory across 20 countries

2018· article· en· W2807926906 on OpenAlexaff
Rolf van Dick, Jérémy E. Lemoine, Niklas K. Steffens, Rudolf Kerschreiter, Serap Akfırat, Lorenzo Avanzi, Kitty Dumont, Olga Epitropaki, Katrien Fransen, Steffen R. Giessner, Roberto González, Ronit Kark, Jukka Lipponen, Yannis Markovits, Lucas Monzani, Gábor Orosz, Diwakar Pandey, Christine Roland‐Lévy, Sebastian C. Schuh, Tomoki Sekiguchi, Lynda Jiwen Song, Jeroen Stouten, Srinivasan Tatachari, Daniel Valdenegro, Lisanne van Bunderen, Viktor Vörös, Sut I Wong, Xinan Zhang, S. Alexander Haslam

Bibliographic record

VenueJournal of Occupational and Organizational Psychology · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsIvey Foundation
FundersFondo Nacional de Desarrollo Científico y TecnológicoCentro de Estudios de Conflicto y Cohesión SocialUniversity of Cambridge
KeywordsTransformational leadershipPsychologyAuthentic leadershipSocial psychologyShared leadershipSocial identity theoryIdentity (music)Organizational citizenship behaviorLeadership styleLeadershipLeadership studiesScale (ratio)Job satisfactionConstruct (python library)Organizational commitmentSocial group

Abstract

fetched live from OpenAlex

Recent theorizing applying the social identity approach to leadership proposes a four‐dimensional model of identity leadership that centres on leaders’ management of a shared sense of ‘we’ and ‘us’. This research validates a scale assessing this model – the Identity Leadership Inventory ( ILI ). We present results from an international project with data from all six continents and from more than 20 countries/regions with 5,290 participants. The ILI was translated (using back‐translation methods) into 13 different languages (available in the Appendix ) and used along with measures of other leadership constructs (i.e., leader–member exchange [ LMX ], transformational leadership, and authentic leadership) as well as employee attitudes and (self‐reported) behaviours – namely identification, trust in the leader, job satisfaction, innovative work behaviour, organizational citizenship behaviour, and burnout. Results provide consistent support for the construct, discriminant, and criterion validity of the ILI across countries. We show that the four dimensions of identity leadership are distinguishable and that they relate to important work‐related attitudes and behaviours above and beyond other leadership constructs. Finally, we also validate a short form of the ILI , noting that is likely to have particular utility in applied contexts. Practitioner points The Identity Leadership Inventory ( ILI ) has a consistent factor structure and high predictive value across 20 countries and can thus be used to assess a leader's ability to manage (team and organizational) identities in a range of national and cultural contexts. Identity leadership as perceived by employees is uniquely related to important indicators of leadership effectiveness including employees’ relationship to their team (identification and perceived team support), well‐being (job satisfaction and reduced burnout), and performance (citizenship and innovative behaviour at work). The ILI can be used in practical settings to assess and develop leadership, for instance, in 360‐degree feedback systems. The short form of the ILI is also a valid assessment of identity leadership, and this is likely to be useful in a range of applied contexts (e.g., those where there is a premium on cost and time or when comparing multiple leaders or multiple time points).

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)0.001
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.110
GPT teacher head0.365
Teacher spread0.255 · 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 designObservational
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

Citations186
Published2018
Admission routes1
Has abstractyes

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