Mindfully Resisting the Bandwagon: Reconceptualising IT Innovation Assimilation in Highly Turbulent Environments
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
Environmental turbulence (ET), as exemplified by the recent financial crisis between 2007 and 2009, leads to a high degree of uncertainty, and fosters mimicry and resulting bandwagon phenomena in information technology (IT) innovation assimilation processes. In these highly turbulent environments, ‘mindless’ IT innovation assimilation by participating organizations plays a major role in the manifestation and facilitation of mimetic influences. Even in less turbulent economic cycles, highly turbulent industries such as the financial services industry have to deal with demanding IT innovation assimilation processes, and are exposed to varying levels of ET and mimicry. Drawing upon the theory of dynamic capabilities, organizational mindfulness (OM) is one viable means to mitigate the potentially negative consequences of mimetic behaviour. Here, mindful organizations are more successful in overcoming situations of high dynamism, and sometimes are even able to exploit them. So far, little empirical research has been conducted to quantify the influence of OM in scenarios of high dynamism and mimicry. On the basis of 302 complete responses from senior IT managers in the financial services industry from the Anglo-Saxon countries (the United States, Canada and the United Kingdom), this research contributes to a deeper understanding of the interaction of OM with institutional pressures against the background of ET.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| 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