Enhancing Strategic IT Alignment through Common Language: Using the Terminology of the Resource-based View or the Capability-based View?
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.
Bibliographic record
Abstract
Despite all the studies on alignment in the past 30 years, alignment is still CIOs’ top concern, denoting the lack of prescriptive studies on antecedents of alignment. Particularly, shared language between CIO and top management team is one of the most important yet neglected antecedent of alignment. While previous studies suggest CIOs avoid technical language and use business terminologies, they do not provide further details. The purpose of this study is to prescribe guidance for CIOs regarding the terminologies that should be used in a conversation with the top management team. Leveraging the literature on strategic management, we suggest CIOs apply the nomenclature of theories of Resource-based View or Capability-base View instead of technical jargons. Moreover, using the Semantic Memory Theory, we hypothesized that applying the nomenclature of Capability-based View results in higher top managers’ understanding of the role of IT. An experiment is suggested to evaluate the hypotheses.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it