Role of ICT for Competitiveness: Learning from the Case of Software Industry in India
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
AbstractThe information and communication technology (ICT) have considerable potential and economic effects. The software industry, a segment of the ICT industry, has attracted enormous mindshare in India. This industry in India has contributed significantly to many stakeholders and brought laurels to the country. There is still vast untapped potential for competitiveness of Bharat. Leveraging the potential will demand all round improvements on many facets of competitiveness. Drawing on rich experiences of competitiveness research covering the West as well as the East, attempt is made here to present a factual perspective on competitiveness reality, taking case of software industry in India. The learning are synthesized and can be adapted in other related industries such as telecom, which have experienced high growth. Finally, implications are drawn for key stakeholders for nurturing competitiveness. Additional informationNotes on contributorsKirankumar MomayaKirankumar Momaya is an Associate Professor and Chairperson of the Strategic Management Group at the Department of Management Studies (DMS), IIT Delhi. He has been a competitiveness researcher and practitioner since his PhD days at the University of Toronto in early 1990s. As a core faculty, he has spearheaded competitiveness and Japan cooperation initiatives through research and teaching at DMS, IIT Delhi. He has experiences of conducting interdisciplinary research in competitiveness and related fields across continents, including several research projects in Japan.He has designed and conducted many workshop and seminars related to competitiveness for industry and academia including six seminars in Japanese in Tokyo, Osaka and Kyoto in 2003. He has worked on projects for Shimizu Corporation and Rikkyo in Japan, ICICI-Knowledge Park, Sona Koyo, DST, HTVTC, Gherzi Eastern and many others. Recently he worked as Vice President (Competitiveness and Strategy) with Vidyatech Solutions.He is a Deputy Editor of the Global Journal of Flexible Systems Management (www.giftsociety.org) and has published more than 30 papers in refereed journals (many more in conferences and seminars and articles) and authored/edited five books/proceedings.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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