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Record W4406560143 · doi:10.61230/nexus.v1i3.59

The Intricacies of Workplace Territoriality: An Exploratory Study on the Phenomenon of Desk Appropriation in Organizational Settings

2023· article· en· W4406560143 on OpenAlexaff
Dominicus Josephus Swanto Tjahjana, Ermina Rusilawati, Andi Andi, L. Brent Mitchell, Laura Thompson, Mary O’Connor

Bibliographic record

VenueNexus Synergy A Business Perspective · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicConflict Management and Negotiation
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsTerritorialityAppropriationPhenomenonDeskExploratory researchPublic relationsKnowledge managementBusinessSociologyPolitical scienceCommunicationComputer scienceSocial scienceEpistemologyLaw

Abstract

fetched live from OpenAlex

This research delves into the intricate phenomenon of desk appropriation within workplace settings, guided by Human Resource Management (HRM) principles. Employing a mixed-methods approach, the study combines qualitative and quantitative methodologies to comprehensively explore the prevalence, underlying dynamics, and impact of desk appropriation. Across diverse industries and organizational levels, instances of desk appropriation prove noteworthy, influenced significantly by power dynamics and office politics, involving both managerial perpetration and victimhood. The psychological repercussions on affected individuals manifest in heightened stress and diminished job satisfaction, emphasizing implications for employee well-being. The study underscores the adverse effects of desk appropriation on teamwork, collaboration, and overall organizational culture. Employee coping mechanisms, including seeking social support and workspace modifications, emerge alongside organizational responses featuring clear policies and prompt resolutions. Recommendations for HRM practices emphasize the development of precise workspace etiquette policies, targeted training programs, and robust organizational support mechanisms. Contributing practical insights to HRM, this research aims to guide organizations in fostering inclusive, collaborative, and supportive workplace environments. Acknowledging limitations and paving the way for future research, the findings aspire to inform HRM practitioners and organizational leaders, promoting workplaces that prioritize employee well-being, collaboration, and a positive organizational culture.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.295
Teacher spread0.266 · 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 designQualitative
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

Citations2
Published2023
Admission routes1
Has abstractyes

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