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Record W1990253282 · doi:10.1504/ijicbm.2015.066113

Management control in a spiritually-charged organisation

2014· article· en· W1990253282 on OpenAlexaff
Suresh Kalagnanam, Rosemary A. Venne

Bibliographic record

VenueInternational Journal of Indian Culture and Business Management · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Spirituality and Leadership
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsControl (management)BusinessPsychologyProcess managementComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Recent research suggests that there is considerable interest among scholars to integrate spirituality into the workplace. One gap in the literature pertains to management control in organisations with a collection of spiritually–oriented employees (a spiritually–charged organisation); our paper fills this gap. This conceptual paper employs a hermeneutic methodology by reviewing and interpreting spiritual literature, applying selected concepts to the modern workplace and designing a management control system to align with the values of such organisations. It conceptualises spirituality from the perspectives of the important concepts of Dharma and Nishkama Karma. This paper offers the position that the management control process would be different in a spiritually–charged organisation where employees are likely to be intrinsically motivated and the firm's values and goals would appeal to the moral values of its employees. We argue that workplace spirituality should be considered an important contingency factor for organisational management, in particular related to managing with the concept of Dharma in mind. Finally, we discuss transformational leadership practices, such as inspiring a shared vision, which are consistent with the nature of such organisations.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.338

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 designNot applicable
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

Citations8
Published2014
Admission routes1
Has abstractyes

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