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Record W2262753800 · doi:10.1108/et-02-2015-0013

A dynamic capabilities view of employability

2015· article· en· W2262753800 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

VenueEducation + Training · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity of AlbertaMount Royal University
Fundersnot available
KeywordsEmployabilityCompetitive advantageHuman resourcesKnowledge managementDynamic capabilitiesConceptual frameworkResource (disambiguation)Conceptual modelBusinessMarketingComputer scienceManagementPsychologySociologyEconomicsPedagogy

Abstract

fetched live from OpenAlex

Purpose – The increasing demand for post-secondary education, and the ongoing difficulty students’ face in securing appropriate work upon program completion, highlight the importance of an enhanced understanding of employability resources for university graduates. Just as organizations achieve a strategic advantage from resources and dynamic capabilities (DCs), university graduates can similarly apply these principles and tactics to be competitive in the job market. The purpose of this paper is to ask the question: how can new graduates enhance their competitive advantage when entering the employment market? To address this question the authors propose to adopt the DCs framework to analyze the competitive advantage of a graduate and argue that university graduates can take specific steps to enhance their own competitive advantage in the labor market. Design/methodology/approach – An extensive review of the existing human resource and strategic management literature was used to develop a conceptual DCs model of employability. The core dimensions of the conceptual model were refined using 26 one-on-one interviews with employers of new university graduates. This study concludes by recommending specific empirical and experimental research to further test the model. Findings – The results from the qualitative study identified the importance of four specific resources that university graduates should possess: intellectual, personality, meta-skill and job-specific. In addition, the authors suggest that integrated DCs are crucial for enhancing the value of these individual resources. Both pre-graduate application and the construction of personal narratives are essential signals that university graduates can mobilize individual resources in a complementary and strategic manner, in real-world settings, to maximize value. Research limitations/implications – This is an exploratory study and is designed as a foundation for future empirical and experiential research. Practical implications – The findings suggest that, in order to increase employability, university students need to assume a DCs view of competitive advantage. As a result, students need to reflect on both their intrinsic and learned resources to create a systematic competitive advantage that is valued, rare and difficult to replicate or substitute. Social implications – This paper challenges students to assume a holistic view of education by recognizing education extends far beyond a classroom. Therefore, differentiation and value creation is reflected in the synthesis and application of both intrinsic and learned resources. Originality/value – The integration of strategic management and human resource literature is a unique theoretical approach to explore the drivers of graduate employability.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.102
GPT teacher head0.403
Teacher spread0.301 · 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