| Indicator | University Z-score | Average country Z-score |
|---|---|---|
|
Multi-affiliation
|
-0.219 | 1.166 |
|
Retracted Output
|
-0.484 | 0.051 |
|
Institutional Self-Citation
|
1.989 | -0.204 |
|
Discontinued Journals Output
|
0.253 | -0.165 |
|
Hyperauthored Output
|
-1.295 | -0.671 |
|
Leadership Impact Gap
|
-4.631 | -0.559 |
|
Hyperprolific Authors
|
1.136 | 0.005 |
|
Institutional Journal Output
|
-0.268 | -0.075 |
|
Redundant Output
|
-0.096 | -0.176 |
Shih Chien University demonstrates a robust and commendable overall integrity profile, reflected in a global risk score of -0.231. This performance indicates strong internal governance and a general alignment with best practices in scientific conduct. The institution's primary strengths are evident in its exceptionally low rates of retracted output, hyper-authored publications, and dependency on external collaborations for impact, showcasing effective quality control and a culture of genuine intellectual leadership. However, areas requiring strategic attention have been identified, specifically medium-risk signals in institutional self-citation, publication in discontinued journals, and the presence of hyperprolific authors. These vulnerabilities, while not critical, contrast with the institution's outstanding performance in its core thematic areas, where SCImago Institutions Rankings data places it among the top national leaders in Business, Management and Accounting (Top 2), Economics, Econometrics and Finance (Top 1), and Social Sciences (Top 3). While the institutional mission was not specified, these identified risks could potentially undermine any objective centered on academic excellence and social responsibility, as they may create a perception of inflated impact or a lack of due diligence. To fully align its operational integrity with its academic prestige, the university is advised to leverage its evident strengths in governance to develop targeted policies that address these specific areas of vulnerability, thereby solidifying its position as a leader in both research output and scientific ethics.
With an institutional Z-score of -0.219 compared to the national average of 1.166, Shih Chien University demonstrates notable institutional resilience. The data suggests that while there is a systemic, medium-risk trend towards multiple affiliations at the national level, the university's internal control mechanisms appear to successfully mitigate this dynamic. This controlled environment ensures that affiliations remain a reflection of legitimate collaboration, such as partnerships or dual appointments, rather than signaling strategic attempts to inflate institutional credit through practices like “affiliation shopping,” a risk more prevalent in the broader national context.
The university exhibits a state of preventive isolation from national risk trends, with an exceptionally low Z-score of -0.484 against a national score of 0.051. This significant negative deviation indicates that the institution does not replicate the medium-risk dynamics for retractions observed across the country. Such a result is a powerful testament to the effectiveness of its pre-publication quality control mechanisms. It suggests that, unlike the national environment where systemic issues may be present, the university's integrity culture and methodological rigor are succeeding in preventing the types of recurring malpractice or error that lead to retractions, thereby safeguarding its scientific record and reputation.
A moderate deviation from the national norm is observed in this indicator, with the university scoring 1.989 while the country average is -0.204. This suggests the institution has a greater sensitivity to this risk factor than its peers. While a degree of self-citation is natural to reflect ongoing research, this higher rate serves as a warning against potential scientific isolation or the formation of 'echo chambers.' The score points to a risk of endogamous impact inflation, where the institution's academic influence might be disproportionately validated by internal dynamics rather than broader recognition from the global scientific community, a practice that warrants a review of internal citation patterns.
The university shows a moderate deviation from the national standard, with a Z-score of 0.253 compared to the country's score of -0.165. This indicates a greater institutional sensitivity to the risk of publishing in problematic venues. This score constitutes a critical alert regarding the due diligence applied in selecting dissemination channels. It suggests that a portion of the university's scientific production may be channeled through media that fail to meet international ethical or quality standards. This practice exposes the institution to severe reputational risks and signals an urgent need to enhance information literacy among researchers to avoid wasting resources on 'predatory' or low-quality journals.
The institution maintains a profile of low-profile consistency, with a Z-score of -1.295 that is even lower than the national average of -0.671. This absence of risk signals is perfectly aligned with a healthy national standard and points to robust authorship policies. The data confirms that the university's research culture, particularly outside of 'Big Science' contexts, effectively avoids the practice of author list inflation. This fosters clear individual accountability and transparency in contributions, distinguishing its collaborative work from questionable 'honorary' or political authorship practices.
With a Z-score of -4.631, significantly below the national average of -0.559, the university demonstrates an exceptionally strong and consistent profile of intellectual leadership. The near-total absence of a gap indicates that the institution's scientific prestige is structural and endogenous, not dependent on external partners. This result is a powerful indicator of sustainability and real internal capacity, confirming that the university's high-impact research is overwhelmingly driven by projects where its own researchers exercise intellectual leadership, a hallmark of a mature and self-sufficient academic institution.
The university's Z-score of 1.136, while within the same medium-risk band as the national average of 0.005, indicates a higher exposure to this particular risk. The data suggests the institution is more prone than its peers to hosting authors with extreme publication volumes. This pattern alerts to potential imbalances between quantity and quality, pointing to risks such as coercive authorship, data fragmentation, or the assignment of authorship without meaningful intellectual contribution. These dynamics, which prioritize metrics over the integrity of the scientific record, warrant a closer examination of productivity patterns at the individual level.
A low-profile consistency is evident in this area, with the university's Z-score of -0.268 being well-aligned with, and even slightly better than, the national average of -0.075. The absence of risk signals demonstrates a healthy and appropriate use of in-house journals, avoiding excessive dependence on them for dissemination. This practice mitigates potential conflicts of interest and the risk of academic endogamy, ensuring that scientific production largely undergoes independent external peer review. By prioritizing external validation, the institution reinforces its commitment to global visibility and competitive scientific standards.
The university's Z-score of -0.096, compared to the national average of -0.176, signals an incipient vulnerability. Although the overall risk level is low and statistically normal for its context, the institution shows slightly more signals of this behavior than the national standard. This warrants a review before the issue escalates. A higher rate of bibliographic overlap can be an early indicator of 'salami slicing,' the practice of dividing a single study into minimal publishable units to artificially inflate productivity. Vigilance in this area is necessary to ensure that the focus remains on publishing significant new knowledge rather than prioritizing volume, which can distort the scientific evidence base.