The Impact of the Transparency Policy on University Students' Trust and Intention of Continued Use

Moreno, Ramón Rufín; Molina, Cayetano Medina

doi:10.1109/hicss.2014.263

Cited by 4 publications

(3 citation statements)

References 46 publications

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“…On the other hand, the inhibitors to quality culture development are related to the lack of empowerment of students and academic staff represented by not involving them in decision-making processes which additionally lack transparency [2,151]. Ignoring the evolving needs of students, academic staff and administrators, as well as the lack of sufficient financial, material and human resources also constitute serious barriers to QC improvement.…”

Section: The Quality Culture Conceptmentioning

confidence: 99%

“…However, the increasingly competitive and dynamic educational environments bring up numerous challenges, such as declining enrolments and growing competition [1]. Today, universities are involved in in-depth changes with the aim of increasing their effectiveness, efficiency and transparency [2]. Universities in Europe are faced with numerous challenges embracing both opportunities and threats [3].…”

Section: Introductionmentioning

confidence: 99%

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Trust-Based Quality Culture Conceptual Model for Higher Education Institutions

2018

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Higher Education Institutions (HEIs) play a crucial role in societies as they enhance the sustainable development of nations. In a context of increasing competition and financial difficulties in higher education institutions, the loyalty of students, faculty and administration staff as well as institutional reputation are key factors for survival and success. They are built upon trust and high quality of services rendered by HEIs. The intentional development of trust serves the purpose of enhancing the quality culture in higher education. The concept of quality culture has become a natural successor of quality management and quality assurance in universities presenting a new perspective for viewing quality at HEIs—as a combination of structural and managerial with cultural and psychological components. This paper provides an elaboration of a novel Trust-Based Quality Culture Conceptual Model for Higher Education Institutions which presents the perceived interconnections between trust and quality culture at HEIs. It can form a source for an inquiry process at HEIs, thus contributing to better contextual diagnosis of the stage where HEI is in the process of building the quality culture based on trust. The findings of this study are important in better understanding the quality culture development in HEIs that is based on trust, loyalty and reputation. It may have an impact on the decision-making processes concerning HEIs’ management. The proposed model contributes to the need for greater clarity, ordering and systematization of the role of trust in the processes of quality culture development.

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Section: The Quality Culture Conceptmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trust-Based Quality Culture Conceptual Model for Higher Education Institutions

2018

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“…This finding was confirmed by prior studies. [89][90][91][92] Young adults often struggle with mental health issues, sexual behavior, drug and alcohol abuse, smoking, and overeating habits. 93 Fear of stigma and negative experiences to face-to-face health consultation will influence their online health engagement.…”

Section: Online Health Management Continuance Grounded In Ecm Iss And...mentioning

confidence: 99%

Online health management continuance and the moderating effect of service type and age difference: A meta-analysis

Shen

Liang

et al. 2022

Health Informatics J

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Numerous empirical studies have been carried out to explore factors of online health management continuance. However, results were not unified. We thus conducted a meta-analysis to identify influential factors and potential moderators. A systematic literature search was performed in nine databases (PubMed, Web of Science, the Cochrane Library, Ovid of JBI, CINAHL, Embase, CNKI, VIP, and CBM) published up to December 2020 in the English or Chinese language. Meta-analysis of combined effect size, heterogeneity, moderator analysis, publication bias assessment, and inter-rater reliability was conducted. Totally 41 studies and 12 pairwise relationships were identified. Confirmation, perceived usefulness, satisfaction, information quality, service quality, perceived ease of use, and trust were all critical predictors. Service type and age difference showed their moderating effects respectively. The perceived usefulness was more noteworthy in medical service than health and fitness service. The trust was more noteworthy in young adults. The results confirmed the validity and robustness of the Expectation Confirmation Model, Information Systems Success Model, and trust theory in online health management continuance. Moderators included but are not limited to age difference and service type. The elderly research in the healthcare context and other analytical methods such as qualitative comparative analysis should be applied in the future.

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