The impact of IT on the growth and development of insular firms
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 The purpose of this paper is to show if the use of information technology (IT) strengthens the growth and development of insular firms. It investigates IT usage in an ultra‐peripheral territory of the Economic Union and aims to gain a better understand between the use of the IT and the growth and development of insular firms. Design/methodology/approach This research examines 118 of the largest Réunionese firms and several interesting factors are identified. Certain characteristics such as size, age, diversification of activities or lack of diversification, status as a subsidiary of a larger firm, degree of computerization and if electronic communications influence IT use were specifically examined. Also looked at were certain factors that could illustrate the relationship between IT use and firm growth and development. Findings This paper presents findings and discusses these in terms of the degree of utilization of IT by insular firms, the development of external relationships and the importance of developing IT investment to reduce transaction costs within Réunionese enterprises. From this research, there is an assumption that the use of IT may have an impact on the growth and development of insular firms. Research limitations/implications This research reported in this paper focused only on Réunion Island and not on other insular contexts. Further European ultra peripheral regions must be investigated to support the findings. Practical implications The findings can help governments, public and private actors to increase the ICT investments of insular firms in order to reduce costs and improve the growth and development of local firms. Originality/value The originality of this paper is the focus on the role of IT on the growth and development of insular firms.
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 | 0.000 | 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 | 0.000 |
| 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