Strategic environment and intellectual capital of Indian banks
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
Purpose This paper aims to propose that the development and use of intellectual capital (IC) elements by firms is contingent on the effect of the strategic environment on them. Design/methodology/approach The paper is a case study of the Indian banking industry, and considers how different banks responded to deregulation and industry reforms in terms of developing and exploiting their IC. Findings Government‐, private‐ and foreign‐owned banks used and developed different elements of IC (structural, human and relational capital) in response to the change in their strategic environment due to the reforms. These responses appear to be contingent on firm history and the initial endowments of IC. Research limitations/implications A reliance on print archival sources and context specificity limits the generalizability of the findings. Practical implications The paper complements Kamath's cross‐sectional estimation of VAIC™ in the Indian banking industry, and seeks to introduce consideration of the strategic environment of firms. Originality/value The paper is one of the first systematic studies on the post‐liberalization strategies of banks in India, an important emerging economy.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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