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Record W2286672989 · doi:10.5430/jms.v7n1p98

Firm Resources, Core Competencies and Sustainable Competitive Advantage: An Integrative Theoretical Framework

2016· article· en· W2286672989 on OpenAlexvenueno aff
Lydiah Wanjiru Kabue, James M. Kilika

Bibliographic record

VenueJournal of Management and Strategy · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitive advantageCompetitor analysisCore competencyBusinessIndustrial organizationOrder (exchange)Resource-based viewResource (disambiguation)Knowledge managementMarketingComputer science

Abstract

fetched live from OpenAlex

A number of studies based on the Resource Based View (RBV) consider resources as the only sources of gaining a source of a firm’s sustainable competitive advantage. According to the RBV approach, there are qualities that resources must possess in order for them to realize sustainable competitive advantage for a firm. The resources must be valuable, rare, inimitable and immobile across firms. Since resources are more often common than rare, more homogenous than heterogeneous and more mobile than immobile, then firms have to combine the resources in order to develop rare and difficult to imitate processes that will act as a source of sustainable competitive advantage. In an industry where resources are common and mobile, a firm therefore needs to build competencies in order to convert these common and mobile resources into processes that are rare and immobile to create a source of sustainable competitive advantage for the firm. A problem therefore exists for firms in a homogenous industry where resources are shared and are neither rare nor heterogeneous across firms in the industry to develop sources of sustainable competitive advantage. In order for these firms to develop sources of competitive advantage with the resources available to them, they would need to develop core competencies to turn the non rare homogenous resources into rare and heterogeneous processes that competitors cannot imitate. The development of these competencies is the product of organizational cultures and values formed over time which can be explained by institutional theory. Further, a firm may not own the resources they need to form a source of sustainable competitive advantage. These resources may be owned by other firms not controlled by the firm in need of these resources which is a premise of the institutional theory. While this is acknowledged from the existing literature, there is also lack of an integrated theoretical model to demonstrate how diverse theories explaining firm strategic behaviour may be utilized to enable firms build sustainable competitive advantage. This paper proposes an integrated theoretical model for linking firm resources with core competencies and sustainable competitive advantage while providing for the role of the firm’s external environment. The proposed model integrates the postulates of the RBV, RDT, Institutional Theory and Porter’s five forces Model. The emerging theoretical propositions and implications for future research are discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0110.007
Science and technology studies0.0020.012
Scholarly communication0.0100.015
Open science0.0030.006
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.013
GPT teacher head0.251
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations81
Published2016
Admission routes1
Has abstractyes

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