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All Journal Journal of Innovation in Business and Economics Journal of Innovative Technology and Sustainability Education
Heri Wijayanto
Muhammadiyah University of Ponorogo
Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Leadership Style of Transformational Key User in the Success of the Implementation of Enterprise Resource Planning in the Universities in East Java, Indonesia Heri Wijayanto; Tulus Haryono
Journal of Innovation in Business and Economics Vol. 2 No. 01 (2018): Journal of Innovation in Business and Economics
Publisher : Faculty of Economics and Business, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jibe.v2i01.5335

Abstract

AbstractThis study is aimed to analyze to what extend is the implementation of Enterprise Resource Planning (ERP) by involving transformational key user leadership style as the moderating variable. This study used DeLone and McLean information system success model approach. There are 285 universities in east Java, Indonesia as the population. As for this study, 164 universities are chosen as the samples by using the disproportionate stratified random sampling through organizational unit analysis. The instrument that is used to analyze the data is Structural equation Modeling (SEM) program Amos 22. The constructs used to make the model are transformational key user leadership, System Quality, and User Satisfaction. The result showed that the quality system has no influence towards the user satisfaction, and transformational key user leadership style moderates the quality system influences the quality system on the user satisfaction.  
Artificial Intelligence, Knowledge Diversity, and Sociopreneurship on Hospital Performance: Moderating Role of Service Quality in Central Java Tri Darsono; Tulus Haryono; Ahmad Ikhwan Setiawan; Mugi Harsono; Heri Wijayanto; Rohwiyati Rohwiyati
Journal of Innovative Technology and Sustainability Education Vol. 3 No. 1 (2027): April
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jitse.2.3.284

Abstract

Objective: Grounded in the Resource-Based View (RBV) Theory, this study examines how technological interventions and medical staff capabilities interact to influence healthcare service performance in hospitals. Specifically, the study seeks to understand the relationships among these key resources within the context of healthcare service delivery. Method: A quantitative survey was conducted using descriptive statistics from Likert-scale questionnaires (1-5) distributed online to 102 respondents, including medical staff, managers, and administrators at type B hospitals in Central Java. Given the research objectives of prediction, exploration, or structural theory development, data were processed using SmartPLS 4.0. The independent variables in this study were Implementing Artificial Intelligence (AI), Knowledge Diversity, and Sociopreneur, while the dependent variable was Organizational Performance, with Service Quality as a moderating variable. Results: The findings indicate that each variable has a good level of validity (LF ≥ 0.70) and significance; the evaluation of discriminant validity using the Fornell-Larcker criterion, cross-loadings, and HTMT met the requirements; the f-test result of 0.037 (high) indicates the significant moderating effect of service quality on the relationship between AI implementation and organizational performance. Based on the model fit assessment, the influence of AI implementation has an R² of 0.787% (strong); the SRMR is 0.093, which is < 0.10, indicating that the model fits the empirical data well. Novelty: The implementation of AI can improve operational efficiency, diagnostic accuracy, and data management, thereby enhancing quality and service in hospitals. The follow-up to this research is the need to consider the infrastructure and medical staff expertise when implementing AI in type B hospitals in Central Java to improve healthcare services.
Co-Authors Ahmad Ikhwan Setiawan Mugi Harsono Rohwiyati Rohwiyati Tri Darsono Tulus Haryono Tulus Haryono