Perceived Moderating Ability of Relational Interaction versus Reciprocal Investments in Pursuing Exploitation versus Exploration in RFID Supply Chains
Bibliographic record
Abstract
This study looks at the perceived ability of two variables, reciprocal investments and relational interaction, to moderate the relationship between the independent variables, components of IT infrastructure integration and supply chain process integration, and two dependent radio frequency identification (RFID) system variables, exploitation and exploration. Using the moderated regression procedure, this study seeks to test the ability of both reciprocal investments and relational interaction to moderate the relationship between the independent and dependent variables using data gathered from 87 firms using an online survey. Results show that relational interaction is an effective moderator between the dependent variable, exploitation, and the following independent variables: data consistency, cross-functional application integration, financial flow integration, physical flow integration, and information flow integration (Table 1). Neither reciprocal investments nor relational interaction effectively moderated the independent variables, IT infrastructure integration and supply chain process integration and the other dependent variable, exploration.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.017 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".