IMPACTS OF SOCIAL EMBEDDEDNESS ON IOS PLANNING EFFECTIVENESS: A MULTILEVEL PERSPECTIVE
Bibliographic record
Abstract
This conceptual paper introduces the logic of embeddedness as a new theoretical angle to the IS planning stream of research. Taking two levels of analysis into account, we examine the impact of socially embedded ties on strategic interorganizational system (IOS) planning. We propose that from a dyad perspective, embedded ties facilitate the planning process, and can significantly increase the number of identified systems and their potential strategic value. Yet, paradoxically, having solely embedded ties in a network can adversely impact planning effectiveness by increasing (a) the risks of being insulated from novel ideas, (b) the likelihood of a lock-in effect, and (c) the salience of isomorphic pressures. We argue that, from a network perspective, those firms that manage to exploit an integrated mix of both embedded and arm’s length ties are more likely to succeed in their IOS planning. This paper contributes to SISP theory by identifying new interorganizational-level antecedents of planning effectiveness. It provides guidelines that IS executives can use to improve the effectiveness of their planning activities and ultimately achieve superior IT-business alignment.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".