Purpose: This study maps the development of research on the political economy of energy transition by identifying publication trends, intellectual structures, thematic clusters, and emerging research directions. It examines how this literature addresses the relationships among political interests, economic structures, institutions, and energy governance. Method: The study employs a bibliometric analysis of 368 Scopus-indexed documents published between 1997 and 2024. VOSviewer and Biblioshiny were used to examine publication trends, scientific collaboration, keyword co-occurrence, and thematic structures. Result: Publication output increased substantially after 2017, indicating growing scholarly attention to energy transition and energy system transformation. Scientific production is concentrated in developed countries, particularly the United States, the United Kingdom, and Germany. The analysis identifies five thematic clusters: political economy; renewable energy and regulation; energy policy and markets; climate change and sustainability; and energy issues in the global context. Together, these clusters reveal that the literature conceptualizes energy transition as a multidimensional process shaped by interactions among political interests, economic structures, public policy, and institutions. Practical Implications for Economic Growth and Development: The findings underscore the importance of institutional coordination and policy coherence in advancing reliable, affordable, and sustainable energy systems that support inclusive economic growth and development. Originality/Value: By mapping the intellectual and thematic structures of research on the political economy of energy transition, this study identifies gaps concerning developing countries, institutional variation, and governance dynamics. It establishes a foundation for future research into how political and economic arrangements shape energy system transformation.
Purpose: This study examines how attitude, subjective norms, perceived behavioral control, and Islamic financial literacy contribute to behavioral intention to choose Islamic home financing. Method: The study employs partial least squares structural equation modeling (PLS-SEM) using SmartPLS to analyze data from 250 customers in Malang City who are familiar with Islamic home financing products. The analysis examines the relationships among the proposed constructs, including the mediating role of attitude in the relationship between Islamic financial literacy and behavioral intention. Result: Attitude, perceived behavioral control, and Islamic financial literacy positively influence behavioral intention, whereas subjective norms have no significant effect. Attitude also mediates the relationship between Islamic financial literacy and behavioral intention, highlighting its role in translating financial knowledge into financing preferences. Practical Implications for Economic Growth and Development: Islamic banks can apply these findings to strengthen financial literacy initiatives and develop financing strategies that address customers’ attitudes and perceived control. Clearer product information and targeted educational programs may encourage informed financing decisions. These efforts could potentially support real-sector financing and contribute to economic growth and development. Originality/Value: This study extends TPB by integrating Islamic financial literacy and examining attitude as a mediating mechanism, providing additional insight into customers’ intentions to choose Islamic home financing.
Purpose: This study examines how digital culture, digital adoption, and digital strategy interact to shape innovation and organizational performance among food and beverage micro, small, and medium enterprises (MSMEs). Method: A quantitative explanatory cross-sectional survey involved 136 eligible MSME owners and managers across Java’s six provinces, selected through purposive sampling with provincial quotas. Data were analyzed using covariance-based structural equation modeling (CB-SEM) in SmartPLS 4, including measurement model, structural model, and mediation assessments. Result: All eleven hypotheses were supported. Digital culture positively influenced digital adoption, digital strategy, and innovation. Digital adoption positively influenced digital strategy and organizational performance. Digital strategy positively influenced innovation, which positively influenced organizational performance. Digital strategy mediated the relationships of digital culture and digital adoption with innovation. Digital adoption mediated the relationship between digital culture and organizational performance. Digital adoption and digital strategy also sequentially mediated the relationship between digital culture and innovation. Practical Implications for Economic Growth and Development: Digital culture emerged as the strongest driver of digital adoption, while digital strategy facilitated the translation of adoption into innovation. MSMEs should complement technology adoption with a digitally oriented culture and strategic capabilities to strengthen innovation, competitiveness, and organizational performance. Originality/Value: This study conceptualizes digital transformation as an interconnected, sequential process and highlights the combined mediating roles of digital adoption and digital strategy in translating digital culture into innovation.
Purpose: This study examines the effects of price attributes and product quality on impulsive buying on digital voucher platforms and tests the mediating role of perceived scarcity. Method: Survey data from 292 digital voucher platform users were analyzed using partial least squares structural equation modeling (PLS-SEM). Seven hypotheses were tested through bootstrapping. Result: Six hypotheses were supported. Product quality significantly influenced impulsive buying (β = 0.347) and perceived scarcity (β = 0.365), which also significantly influenced impulsive buying (β = 0.306). Price attributes had no significant direct effect on impulsive buying (β = 0.093; p = 0.155) but significantly influenced perceived scarcity (β = 0.198). Perceived scarcity demonstrated indirect-only mediation for price attributes and complementary partial mediation for product quality. The model explained 39.6% of the variance in impulsive buying. Practical Implications for Economic Growth and Development: The findings suggest that platform managers and small sellers can encourage purchases by communicating genuine offer scarcity and emphasizing product quality rather than relying solely on price incentives. These strategies may support sales turnover and platform revenue, potentially contributing to broader digital economic activity, although these economic outcomes were not directly examined. Originality/Value: This study identifies perceived scarcity as a mechanism linking price attributes and product quality to impulsive buying in the underexamined context of digital voucher platforms. It extends understanding of scarcity beyond its amplifying role by demonstrating its mediating function within platforms characterized by limited quotas and short offer periods.
Purpose: This study develops and empirically evaluates an AI-enhanced Digital Twin training model for industrial workforce development and examines the mechanisms through which technical competence, soft skills, and subjective well-being influence employee performance. Method: An intervention-focused mixed-methods Research and Development (R&D) design was conducted with 90 employees from three industrial enterprises in Gresik, Indonesia. The eight-week intervention integrated immersive Digital Twin simulations, AI-based adaptive support, and collaborative virtual learning. Quantitative data were analysed using paired statistical tests, effect size calculations, and partial least squares structural equation modelling (PLS-SEM), while qualitative data from interviews and focus group discussions were analysed thematically. Result: The intervention significantly improved technical competence, soft skills, and subjective well-being, with the strongest effect observed in technical competence (d = 0.91), followed by soft skills (d = 0.55) and subjective well-being (d = 0.35). AI-enhanced Digital Twin training positively influenced all three outcomes (β = 0.346–0.539, p ≤ .001). Technical competence and soft skills significantly mediated the relationship between training and employee performance, whereas subjective well-being did not. Qualitative findings highlighted experiential mastery, adaptive support, collaborative problem-solving, and flexible learning access as key training features. Practical Implications for Economic Growth and Development: The findings suggest strengthening industrial human capital, improving workforce adaptability, productivity, and competitiveness. Originality/Value: This study positions AI-enhanced Digital Twin training as a human-centred workforce development system and demonstrates that its contribution to employee performance occurs primarily through competence development pathways rather than a direct technology effect.
