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Record W1964662229 · doi:10.1002/hfm.20513

Service systems design: An intentional agent perspective

2012· article· en· W1964662229 on OpenAlexaff
Lysanne Lessard, Eric Yu

Bibliographic record

VenueHuman Factors and Ergonomics in Manufacturing & Service Industries · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArgumentation theoryConceptualizationService (business)Service designKnowledge managementService systemPerspective (graphical)Value (mathematics)Computer scienceProcess (computing)Service delivery frameworkOrder (exchange)Process managementPerceptionBusinessPsychologyMarketingArtificial intelligenceEpistemology

Abstract

fetched live from OpenAlex

Abstract This article proposes to conceptualize service system entities as intentional agents in order to account for the high‐level interests and expected benefits that drive their interactions. Such a conceptualization offers a useful ground for the design of service systems through agent‐oriented modeling, in particular i * (short for distributed intentionality). i * could provide an improved support to the design of service system interactions by focusing on why actors engage in service relationships and how they evaluate the value of a service engagement. Such an approach goes beyond current process‐based design approaches that support the design of service activities but that are unable to link them to actors' perception of value. We develop our argumentation from the results of a multiple‐case study of knowledge‐intensive business services (KIBS), in particular academic research and development service engagements. © 2012 Wiley Periodicals, Inc.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.226
Threshold uncertainty score1.000

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 communication0.0010.003
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 head0.093
GPT teacher head0.270
Teacher spread0.178 · 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

Citations6
Published2012
Admission routes1
Has abstractyes

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