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Record W2297905371 · doi:10.1108/ijoa-12-2013-0728

Sensemaking at work: meaningful work experience for individuals and organizations

2016· article· en· W2297905371 on OpenAlexfundno aff
Özen Aşik-Dizdar, Ayla Esen

Bibliographic record

VenueInternational journal of organizational analysis · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsSensemakingKnowledge managementContext (archaeology)OriginalityArgument (complex analysis)EmpowermentWork (physics)Computer sciencePsychologyEngineeringPolitical scienceSocial psychologyCreativity

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to take a closer look at the concept of meaningful work experience for individuals and organizations, and discuss the role of sensemaking in creating it. Design/methodology/approach – The main argument of the paper is that sensemaking efforts are among the fundamental tools that help create meaningful work experience for both individuals and organizations. The paper offers a conceptual framework that presents the interplay between sensemaking tools and enabling mechanisms in relation to internal and external organizational environments. Findings – It is proposed that job crafting is a sensemaking tool – enabled by empowerment – for individuals to make sense of the internal environment of the organization; and strategy crafting is a sensemaking tool – enabled by organizational learning – for organizations to make sense of the external environment of the organization. Originality/value – This paper attempts to converge micro- and macro-level concepts by bringing together individual- and organizational-level variables into a joint discussion. It places job crafting and strategy crafting in the context of sensemaking theory, and it reinforces the idea of proposing models that will consider the multi-level implications of organizational 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.240
Teacher spread0.228 · 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.

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

Citations43
Published2016
Admission routes1
Has abstractyes

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