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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.
Market Orientation on Export Marketing Performance: The Role of Disruptive Innovation and Flexibility Supporting SDGs 8 and 9 Rohwiyati Rohwiyati; Tulus Haryono; Ahmad Ikhwan Setiawan; Lilik Wahyudi; Tri Darsono; Sulistya Sulistya
Journal of Current Studies in SDGs Vol. 3 No. 3 (2027): September
Publisher : Sekolah Tinggi Agama Islam Sabilul Muttaqin Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63230/jocsis.3.3.299

Abstract

Objective: How customer orientation and competitor orientation influence the export marketing performance of coffee-exporting micro, small, and medium-sized enterprises (MSMEs), while assessing the mediating role of disruptive innovation and the moderating role of organizational flexibility. The study also highlights the relevance of these capabilities to SDG 8 and SDG 9 through inclusive export growth and innovation-driven competitiveness. Method: A quantitative explanatory design was employed using survey data from 116 coffee-exporting MSMEs in Central Java, Indonesia, selected through purposive sampling. The relationships among the constructs were analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 3. Results: Customer orientation significantly improved export marketing performance, whereas competitor orientation had no significant direct effect. Both customer and competitor orientation significantly promoted disruptive innovation, which in turn enhanced export marketing performance. Disruptive innovation significantly mediated both market-orientation dimensions, and flexibility strengthened its positive effect on export marketing performance. Novelty: Integrating disruptive innovation as a mediating mechanism and flexibility as a boundary condition in a single export-marketing model for coffee MSMEs. The model explains how market intelligence can be converted into adaptive innovation and stronger export outcomes, offering an SDG-aligned pathway for resilient MSME internationalization.