Interorganizational Relationships in the Context of SMEs' B2B E-Commerce
Bibliographic record
Abstract
Electronic commerce on the Internet has been discussed in literature as an interorganizational information system that can provide a strategic advantage via customer loyalty to small and medium-sized enterprises (SMEs). However, that is not always true, because many SMEs have difficulties achieving the benefits, as suggested by media and early research. This study is an empirical examination of the impact of the Internet’s Web tools on the interorganizational relationships (IOR) between SMEs and their loyal customers. Data collected from 386 SMEs in North America (United States and Canada) and processed with Partial Least Square (PLS) show that the use of Web tools (i.e., the level of Web content and the level of security on the Internet) has a positive impact on the relation between cooperation and interdependence, and customer loyalty. However, the impact of the Internet’s Web tools on the relation between trust and customer loyalty is different, because the use of nonsecure Web tools reduces the impact of trust on customer loyalty, and surprisingly, the use of secure Web tools doesn’t increase or decrease the impact of trust on customer loyalty. The implications of the results of the study are discussed.Request access from your librarian to read this article's full text.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".