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Record W4283206152 · doi:10.1111/poms.13768

Examining service triad operations: Formation, functioning, and feedback exchanges

2022· article· en· W4283206152 on OpenAlexaff
Robert Suurmond, Larry J. Menor, Finn Wynstra

Bibliographic record

VenueProduction and Operations Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsWestern University
FundersVereniging Trustfonds Erasmus Universiteit Rotterdam
KeywordsTriad (sociology)Service (business)Service providerService delivery frameworkProcess managementService designService level objectiveBusinessService systemService product managementKnowledge managementComputer scienceService guaranteeMarketingPsychology

Abstract

fetched live from OpenAlex

We study service triads by examining the member‐to‐member exchanges underpinning service formation, functioning, and feedback. A service triad comprises two serviced customers from the supplier's standpoint and two service providers from the end user's standpoint, which can cause operational complexity and challenges. We view the service triad as an operating entity and study four information‐rich cases to improve our understanding of this operational complexity. Leveraging scholarly knowledge related to service operations management and ecosystems theory, we uncover several interesting patterns related to the formation, functioning, and feedback exchanges. First, the formation exchanges depend on the value creation goal of the service triad. Second, the service buyer engages in operational coordination, despite delegating the delivery of services to the supplier. Third, feedback exchanges allow the service triad to monitor service performance for further improvement and innovation. Our qualitative inquiry focusing on the visualization and codification of members’ participation in exchanges advances our collective understanding of service triads beyond the dominant focus on structure and governance.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.002
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 head0.046
GPT teacher head0.232
Teacher spread0.186 · 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 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

Citations6
Published2022
Admission routes1
Has abstractyes

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