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Record W2925636717 · doi:10.5430/ijba.v10n3p23

Moderating Effects of Dynamic Managerial Capabilities on Heterogeneous Workplaces: A Case Study of Private Banks in Egypt

2019· article· en· W2925636717 on OpenAlexvenueno aff
Said Sayed Shabban Abdo Sayed, David Edgar

Bibliographic record

VenueInternational Journal of Business Administration · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsCompetitive advantageModerationWorkforceBusinessDynamic capabilitiesCompetition (biology)Resource-based viewProductivityResource (disambiguation)MarketingIndustrial organizationPopulationSoftware deploymentStrategic managementKnowledge managementHuman resourcesEconomicsComputer scienceManagement

Abstract

fetched live from OpenAlex

Purpose - The purpose of this study is to present strategies that banking organizations might adopt to utilize the heterogeneity and generational differences for better workplaces. Workforce diversity has been identified as one of the strategic capabilities that will add value to the organizations over their competition. As one of the most globally competitive sectors, the banking industry faces the challenge of attracting highly skilled and extremely innovative employees while retaining valuable senior employees to make use of their expertise in an inclusive setting. . As such, an understanding of heterogeneity and generational differences may be used as a tool by managers to improve employee productivity, innovation and to create good corporate individuals. Data was collected from a target population from seven general managers of private banks operating in Egypt who were managing through the multigenerational phenomenon. The paper will utilize the Resource-based view (RBV) framework as a complementary theory based on the assumption that organizations differ according to the heterogeneity of their resources.Design/methodology/approach - This study adopts a qualitative approach and presents findings based on a series of semi-structured interviews with senior managers of the Private Banks operating in Egypt.Findings - The findings show that resource idiosyncrasy, deployment, utilizations and organizational culture accommodate dynamic managerial capabilities (DMC) to achieve sustainable competitive advantage (SCA) in the multigenerational heterogeneous workplace. By analysing the components of the VIRO model that reviews resource characteristics that could lead to sustain competitive advantage, the findings of the current research revealed DMC as an underestimated moderator for achieving the SCA.Practical implications - The practical implication of this study is to extend generational research by investigating the effect of inclusion and the importance different generations place on the presence of various workplace characteristics. Organizations are exploring the inclusion of workforce diversity against the traditional structure. A private bank’s workforce has employees from different countries, cultures, generations and genders. This heterogeneity has positioned private banks as a striking foreign investment destination due to their mature and experienced workforce. Managerial capabilities and skills can utilize the challenges resulting from such wider heterogeneity in a multidisciplinary approach for achieving sustained competitive advantages. Thus, workforce heterogeneity is regarded as an asset for private banks for connecting with businesses all over the world and for enabling foreign communities to conduct their business within its location.Originality/value - The paper originated from the researchers’ own unique investigation into the employment market from a managerial standpoint. Little qualitative research has been thus far published regarding how organizations hire highly skilled and extremely innovative people to work while maintaining old employees to make use of their expertise in an inclusion setting. Particularly, the notion of adapting a Resource -Based View to illustrate how heterogeneity and generational differences may be used as a tool by managerial capabilities to improve employee productivity, innovation and to create good corporate individuals is also a new area for academic research.

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)0.000
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 score0.310
Threshold uncertainty score0.534

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 head0.010
GPT teacher head0.241
Teacher spread0.231 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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