Exploring the Impact of Electronic Management on Mitigating Organizational Conflict: An Examination at the Northern Technical University
Bibliographic record
Abstract
As a product of technological advancement, electronic management has become a pivotal tool in modern administrative practices.It is acknowledged that organizational conflict, an almost ubiquitous phenomenon in institutions, has significant implications for productivity and workplace harmony.This study aimed to investigate the potential of electronic management in attenuating organizational conflict within the context of the Northern Technical University (NTU).Electronic management was conceptualized as an independent variable, with organizational conflict treated as the dependent variable.A questionnaire was distributed to a sample of administrative leaders, and the responses were subsequently analyzed.The study adopted a hypothesis positing no significant effect of electronic management on reducing organizational conflict.Key findings of the study include the value of integration and interaction amongst organizational units, the essential balance between quality, cost, speed, and accuracy in administrative activities, and a noted reduction in the cycle time of executing administrative operations.The results affirm a significant relationship between the application of electronic management and the reduction of organizational conflict at both micro and macro levels.Based on these findings, it is recommended that the surveyed organization increases its focus on the tenets of electronic management and invests in enhancing the understanding of these concepts among managers and employees.Additionally, efforts should be made to augment the organization's competency in the dimensions of electronic management and to further develop the skills of its managerial staff and employees.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".