A conceptual model of RFID’s impact on relational value cocreation and appropriation
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".