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Record W2922322462 · doi:10.5430/ijba.v10n2p115

Buddhism and Buddhist Business Practices

2019· article· en· W2922322462 on OpenAlexvenueno aff
Samuel L. Dunn, Joshua D. Jensen

Bibliographic record

VenueInternational Journal of Business Administration · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSoutheast Asian Sociopolitical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBuddhismSociologyPoint (geometry)Public relationsMarketingBusinessPolitical scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

The 21st century global business environment is more diverse and interconnected than ever before. As organizations continue to expand their global reach, business professionals often find themselves having to navigate challenging cultural and religious terrain, which they may not be prepared for. While it is impossible for someone to learn the intricacies of all cultures and religions throughout the world, one can seek to learn about some of the more prominent cultures and religions of the world – particularly those they have a high likelihood of engaging with at some point in his or her business career. This paper examines Buddhism, a prevalent religion throughout many parts of the world, and discusses how its culture and beliefs are manifested through Buddhist business practices. Particular focus is placed on business in Thailand, the country with the highest percentage of Buddhists. The purpose of this paper is to provide business professionals with a basic understanding of the history of Buddhism, an overview of the major beliefs of Buddhists, and to present information that will assist business professionals in successfully navigating intercultural affairs when doing business with Buddhists in Thailand or around the world.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.029
GPT teacher head0.362
Teacher spread0.332 · 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".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

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