Efficiency of Information Systems: Influence on Collective Intelligence and Organizational Agility
Bibliographic record
Abstract
The main objective of this study is to analyze the effectiveness of information systems (IS) and its influence on collective intelligence and organizational agility within companies. In particular, the research explores how a well-designed and high-performing IS can facilitate collaboration between employees, improve knowledge sharing, and strengthen organizational responsiveness to market changes. The study also seeks to understand the extent to which collective intelligence acts as a mediator between IS effectiveness and organizational agility. A mixed approach was used in this study, combining quantitative and qualitative methods to provide a comprehensive analysis of the phenomenon. A sample of 150 companies was selected to answer a structured questionnaire measuring the effectiveness of their IS, their level of collective intelligence and their organizational agility. In addition, 30 semi-structured interviews were conducted with company managers to deepen the understanding of the organizational dynamics around IS and their impact on internal collaboration and flexibility. Quantitative data were analyzed using multiple regressions and correlations, while qualitative data were explored using thematic analysis. The results reveal a significant correlation between IS effectiveness and collective intelligence (0.62), as well as between collective intelligence and organizational agility (0.58). The study shows that companies with effective information systems benefit from better collaboration between their teams. This promotes collective decision-making and strengthens their ability to react quickly to changes in the market. The qualitative analysis confirms that IS facilitates knowledge sharing and allows for greater transparency in decision-making processes, which improves organizational responsiveness. Moreover, it has been found that collective intelligence acts as a key mediator between IS efficiency and agility, increasing the flexibility and adaptability of companies. The theoretical implications of this study reinforce existing work on information systems, showing how they promote collective intelligence and organizational agility. From a practical perspective, the results indicate that companies need to invest in flexible and collaborative information systems to improve their overall performance. Information systems that facilitate knowledge sharing and cross-functional communication within teams are strategic assets for organizations looking to increase their responsiveness and competitiveness in ever-changing environments. It is also essential to promote a culture of collective intelligence to maximize the impact of information systems on organizational agility.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".