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Record W3097336975 · doi:10.5267/j.msl.2020.10.011

Effects of leader-member exchange and organizational culture on work engagement and employee performance

2020· article· en· W3097336975 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueManagement Science Letters · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsnot available
Fundersnot available
KeywordsEmployee engagementOrganizational cultureAffect (linguistics)PsychologyEmployee researchSample (material)Work engagementJob performanceWork (physics)BusinessOrganizational performanceOrganizational commitmentPublic relationsSocial psychologyJob satisfactionMarketingPolitical science

Abstract

fetched live from OpenAlex

The objectives of this study are: (1) To determine whether the Leader-Member Exchange (LMX) and organizational culture can improve employee performance, (2) To conduct further research on employee performance by elaborating and analyzing variables that can affect work engagement, among others: members of the leadership and organizational culture. This research was conducted at a Telecommunication Company in Makassar, South Sulawesi with a sample size of 93 people. The analysis model used to determine the influence between variables was a structural model with the Partial Least Square (PLS) approach. In this study it was found that 1. LMX had no significant effect on job involvement. 2. LMX had no significant effect on worker performance. 3. Organizational culture had a significant effect on work engagement. 4. Organizational culture had a significant effect on employee performance, 5. Work management had no significant effect on employee performance. Leaders need to build high-level LMX relationships, equip workers with skills, increase employee professionalism and provide opportunities for employees, help solve the difficulties they face related to assigned tasks and make employees as friends so that they can increase their engagement and performance.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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