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Record W1135935332

A conceptual model of RFID’s impact on relational value cocreation and appropriation

2015· article· en· W1135935332 on OpenAlex
Augustin Bilolo, Harold Boeck

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmericas Conference on Information Systems · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInformation Technology Governance and Strategy
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsKnowledge managementAppropriationGeneral partnershipContext (archaeology)Computer scienceConceptual modelPerspective (graphical)Value (mathematics)SynchronicityBusinessPsychologyArtificial intelligenceEpistemology
DOInot available

Abstract

fetched live from OpenAlex

With the advances of Internet of Things (IoT), RFID technology is becoming ubiquitous. While prior studies have conceptualized RFID technology as a unidimensional concept or examined its impact from a homogeneous organizational context perspective, little attention has been paid to RFID technology characteristics deployed in a firm and the extent to which they impact this firm’s network of business partners in terms of relational value co-creation and appropriation. This study draws from relational perspective and Media Synchronicity Theory and proposes a conceptual model relating RFID characteristics – synchronicity, integration capability, scope of utilization – to relational value creation. Specifically, it proposes that RFID impact depends on the direct and combined effects of individual RFID characteristics on relational value outcomes. These effects are moderated by the quality of partnership between IT and business units in the firm. The conceptual model validation is necessary to assess the predictive power of the emitted hypotheses.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.496

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 communication0.0000.003
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 head0.063
GPT teacher head0.263
Teacher spread0.200 · 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