Factors Affecting Organizational Innovation of Universities - Focusing on Shared Vision, Student-Centered Value, Trust Culture, and Organizational Positivity
Bibliographic record
Abstract
Any organization must innovate to adapt to change and move forward, and without such innovation, it will not develop and fall behind. Similarly, in the case of university organizations, without innovation, they will not be able to contribute not only to securing competitiveness but also to national development. Today, many organizations such as universities, corporations, and government agencies are striving to effectively cope with the changes required in a rapidly changing environment. In the process, many organizations are innovating. Therefore, it is necessary to analyze the factors that affect organizational innovation in universities and prepare measures for this. The decrease in university admission resources along with rapid social change is causing difficulties in university finances and management. As a result, universities are faced with the reality of having to innovate on their own. Hence, organizational innovation is required at the university level to keep up with the fourth industrial revolution. Thus, this study establishes vision sharing, values that prioritize students, a culture of trust, and organizational optimism as independent factors that can impact universities' organizational creativity and validates their impact on organizational innovation. Ultimately, the current study prepares a plan for organizational innovation in universities. To achieve the research purpose, data were collected from 118 responses through an online survey conducted from October to November 2021 targeting professors and staff at 4-year E-University in Gyeonggi-do. The design of this study is a descriptive research study. For the analysis method, frequency analysis and descriptive statistical analysis were performed. Additionally, correlation analysis was performed to examine the validity between variables and to confirm multicollinearity. Finally, multiple regression analysis was performed to verify the influence of independent variables on organizational innovation at universities. The analysis led to the exclusion of the trust culture variable as a factor impacting university organizational innovation. The remaining organizational positivity, student-centered values, and shared vision variables showed a positive influence on organizational innovation. The findings of this study suggest that altering member perceptions is crucial for university organizations to innovate. In particular, all university members must share a positive perception of the organization, educational goals for students, and the vision pursued by the university.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".