Toward a new theory of the contribution of the it function in organizations
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
Because changes in organizations and information technology environments are enduring, the alignment of the IT function with business objectives must not only be understood, but constantly renewed and adjusted. This is amply reflected in recent surveys of CIOs, which consistently suggest that the notion of alignment is a top challenge and management priority. Many CIOs face a double challenge when addressing the issue of alignment: they must first clarify top managementâs expectations and assumptions about IT, which may be contradictory, and then understand their implications for how the IT department should be managed (i.e., translate the functionâs strategic mission into an IT management model that adds value to the organization).\nThe characterization of the IT function has constituted a central and growing subject of research in the information systems field. Although the extant literature has much to teach us, knowledge in this area is nevertheless fragmented and has not been properly integrated. In response to these limitations, this study proposes and tests a new theory of the contribution of the IT function. Specifically, our objective is to offer an explanation of the contribution of the IT function in organizations with a typology of ideal profiles.\nA field study was conducted in 24 large Canadian companies in order to validate a set of research propositions. Our results first suggest that there are five distinct âidealâ IT management profiles in organizations and each of these profiles tends to focus on specific sources of value. Next, we observed that IT functions that are close to the ideal of any given profile seem to be outperforming those with hybrid profiles. Finally, our findings provide a compelling explanation as to how ideal IT management profiles are adopted in organizations. The article concludes with a discussion of the theoretical and practical implications of the proposed theory.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it