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Record W1491693847 · doi:10.1108/jmd-08-2012-0113

Sources of satisfaction with high-potential employee programs

2014· article· en· W1491693847 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Management Development · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsYork UniversityOntario Tech University
Fundersnot available
KeywordsOriginalityIdentification (biology)PerceptionValue (mathematics)Order (exchange)Structural equation modelingKnowledge managementProcess (computing)PsychologyBusinessManagementSocial psychologyComputer scienceEconomicsFinance

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to explore the perceptions that impact Canadian organizations’ satisfaction with their high-potential (HIPO) identifying practices. More specifically, the paper investigated the perceptual lenses used by HR professionals to view their HIPO identification programs and the elements of such programs that impact satisfaction. Design/methodology/approach – A structural equations modeling technique was used to analyze responses to a national survey ( n =219) conducted through a leading Canadian publication for human resource practitioners. Findings – The results reveal that HR professionals form their perceptions of HIPO identification programs on the basis of perceived effectiveness to accurately identify HIPO employees, fairness and motivation. The results further indicate that the degree of formalization of an organization's approach toward identifying HIPOs is the most impactful element for determining satisfaction. Research limitations/implications – First, the study relied on a relatively small sample. Second, the criterion measures used in the study were not continuous. Third, data were collected using self-report questionnaires. Practical implications – The results suggest that organizations should be primarily concerned with adopting a formal, systematic approach when implementing a HIPO identification process. The paper identifies several other elements that organizations should consider in order to maximize their satisfaction with HIPO programs, as well corresponding mediating perceptual lenses. Originality/value – While many organizations regard HIPO programs as essential for their future success, most are not satisfied with their initiatives. This study makes an important contribution to the understanding of the sources of satisfaction with such programs. To the knowledge, this study is the first attempt to understand the factors that determine organizations’ satisfaction with their HIPO identification programs and, therefore, it makes a significant contribution to the literature on developing leadership capability through design and implementation of HIPO programs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.476

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 communication0.0000.001
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 head0.008
GPT teacher head0.194
Teacher spread0.186 · 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