Coopetition, digital innovation, and sustainable performance in international digital ventures: Moderating role of institutional environment

Digital innovation and legal protection in China’s predictive policing

Precision psychiatry is an approach designed to improve diagnosis and treatment of mental disorders by leveraging biological insights and developing innovative, mechanism-based treatment strategies unconstrained by current diagnostic boundaries. At its core, precision psychiatry aims to pinpoint the underlying neurobiological mechanisms responsible for the emergence and persistence of symptoms of mental health conditions. This approach strives to create diagnostic tools and therapies targeting these mechanisms, potentially addressing previously resistant aspects of mental health conditions by providing more precise symptom management and possibly altering the disease trajectory. Although still in its nascent stages, the realization of precision psychiatry will result in a more refined and biology-informed diagnostic system for mental disorders, requiring significant adaptations for clinicians, industry, patients and regulators. Identifying, validating and applying both fluid and functional biomarkers are critical steps in the development, testing and application of new precision psychiatry diagnostics and treatments. As part of the 2025 Precision Psychiatry Roadmap initiative meeting in Frankfurt, experts came together to present and discuss the current status of biomarker identification and validation, patient subtyping, and targeted interventions for stratified patient groups. This report features lecture summaries, meeting outcomes, and recommendations from both online and in-person audiences. In general, the recommendations emphasize standardization, collaboration, clinical implementation, digital innovation, long-term planning, and, importantly, patient engagement, as key priorities for advancing precision psychiatry. Despite existing challenges, there is strong optimism for the future of precision psychiatry, with continuous efforts to refine diagnostic tools and treatment strategies.

Digital innovation and the cost-of-equity capital: Evidence from the supply chain

A review of evaluation system for Internet hospitals.

This study aims to evaluate the feasibility of the Bagansiapiapi Home Souvenir Shop, a business under the auspices of PT Pertamina Hulu Rokan (PHR) and Bengkalis State Polytechnic (POLBENG). Using qualitative and quantitative approaches, the study examined market, technical, managerial, financial, legal, and social aspects. The results indicate that this business is feasible in terms of market opportunities, community support, and financial prospects, despite challenges in digital marketing, product innovation, and managerial capacity. Recommended strategies include strengthening branding, digital promotion, product standardization, and increasing the capacity of MSMEs.

The United Nations Sustainable Development Goals (UN SDGs) were defined to improve the quality of life of the global population particularly regarding social and economic aspects, with a major focus on environmental sustainability. The incorporation of digital technologies into the agri-food sector has become a key enabler in increasing the efficiency, productivity, and sustainability of food production and processing systems. Digital technologies and innovations including artificial intelligence (AI), robotics, in-ground and remote sensors, connectivity, and internet of things (IoT) have been recognized as also being critical for the successful implementation of the UN SDGs. In particular, the utilization of sensing technologies (e.g., in-ground and remote sensors) has been shown to be of great importance to achieve these goals. The use of vibrational spectroscopy and data analytics have shown potential to contribute with the development and implementation of UN SDGs. An overview of the contribution of sensing technologies based on the utilization of vibrational spectroscopy (e.g., near- and mid-infrared spectroscopy, hyperspectral imaging) and data analytics to achieve the UN SDGs is provided. Advantages and limitations of these techniques are also discussed. The incorporation of technology will provide tools that can be used to monitor and predict the safety and quality of foods. Furthermore, digital technologies are enabling the development of novel decision-management systems along the food supply and value chain. Ultimately, the goal will be to assure the consumers the use of these technologies plays a key role in the applicability of the UN SDG. © 2025 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Natural ecosystems face significant pressure from climate change, biodiversity loss, and increasing socio-economic and political stressors-all of which are exacerbated by military conflict. This paper focuses on Ukraine and examines the root causes of disturbances in the country's forest socio-ecological systems (SES), as well as the impacts of the ongoing war, to identify recovery pathways. Using a multi-method approach, we assess factors affecting Ukraine's forest SES and identify three key recovery pathways: (1) an economic focus through forest use for low-carbon recovery, including timber for reconstruction and small-scale energy production; (2) a "close-to-nature and close-to-people" approach, leveraging digital tools and innovations for climate-resilient recovery; and (3) anticipatory governance and socio-ecological innovation. Relying on a single pathway risks long-term vulnerability. We highlight that integrating recovery pathways creates synergies. Coordinated actions within Ukraine and from international actors are essential to enable a recovery aligned with "build back better" principles. Our findings offer valuable insights for Ukraine and other conflict-affected regions.

This study aims to analyze the effect of financial literacy on the financial performance of Micro, Small, and Medium Enterprises (MSMEs) with the utilization of Financial Technology (FinTech) as a moderating variable. The research is grounded in the importance of MSME actors’ ability to manage finances effectively and utilize digital innovation to enhance business competitiveness and sustainability in the digital economy era. A quantitative explanatory approach was employed, involving MSME owners in West Java Province as the study population, with a sample of 400 respondents determined using the Slovin formula at a 5% margin of error. Data were collected through Likert-scale questionnaires and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings show that financial literacy has a positive and significant effect on MSME financial performance, as indicated by an R² value of 0.582. This means that 58.2% of the variation in financial performance is explained by financial literacy and FinTech utilization, while the remaining 41.8% is influenced by other factors outside the model. Moreover, FinTech utilization also has a positive effect on financial performance and moderates the relationship between financial literacy and financial performance. Higher FinTech adoption strengthens the influence of financial literacy on MSME performance. These findings highlight the importance of synergy between financial education and digital technology adoption in promoting financial inclusion and supporting MSME growth in West Java.

<p><em>Based on data from the Ministry of Cooperatives and SMEs, the Micro, Small and Medium Enterprises (MSMEs) sector in Indonesia reached 64.2 million units and contributed 61.07% to the Gross Domestic Product (GDP). West Java Province ranks first with the largest number of MSMEs, including the Jatinangor area which is experiencing rapid growth of MSMEs along with its development as an educational area. However, most MSME players in this region face obstacles in business development due to low financial literacy and limited access to formal financing, such as the People's Business Credit (KUR). Bank Mandiri, as one of the largest KUR channeling banks, has developed digital innovations and strategic partnerships to increase the financial inclusion of MSME players. This study aims to analyse the effect of KUR facilities and financial literacy on the welfare of MSME actors, with business productivity as a mediating variable. The research method used is quantitative with a Partial Least Square - Structural Equation Modeling (PLS-SEM) approach. Based on the results of the analysis of data obtained from MSME actors in Jatinangor, it was found that KUR and financial literacy have a direct and significant effect on productivity and welfare. In addition, productivity is proven to mediate the relationship between the two variables and welfare. The results of this study suggest that strengthening access to financing and improving financial literacy are key strategies in encouraging the productivity and welfare of MSMEs in a sustainable manner, especially in semi-urban areas such as Jatinangor.</em></p>

Regional innovation ecosystems play a crucial role in advancing national innovation capacity. However, the question of how to foster sustained collaborative innovation among diverse actors within these ecosystems under digitalization remains underexplored. This study aims to investigate the dynamic mechanisms and key factors influencing synergistic innovation behavior among multiple stakeholders in digitally enabled regional innovation ecosystems. Drawing on evolutionary game theory, we develop a tripartite game model involving core enterprises, complementary parties, and the government. A simulation analysis is conducted using the Zhongguancun Science and Technology Park as a case context to examine the evolutionary trajectories of cooperation strategies. The results indicate that: (1) increasing the intensity of digital investment by innovation agents significantly enhances the stability and sustainability of the regional innovation ecosystem; (2) core enterprises can stimulate cooperative innovation by providing incentives to complementary parties in the digital context; (3) innovation actors exhibit substantial positive spillover effects, facilitating the circulation and integration of digital resources and data elements; and (4) government subsidies and penalties positively influence system stability and accelerate the convergence of evolutionary dynamics. By integrating a digital perspective into the analysis of regional innovation ecosystems, this study contributes to theoretical discussions on innovation cooperation and provides practical insights for local governments seeking to improve synergistic mechanisms within digital innovation ecosystems. The findings also offer strategic references for promoting the sustainable development of regional innovation systems under digitalization.

This research focuses on the moderation effect of the Environmental, Social, and Governance (ESG) scores on the association between Financial Technology (FinTech) adoption and the financial performance of Pakistan commercial banks. The paper utilizes panel data of 140 bank-years made up of 28 scheduled commercial banks on the Pakistan Stock Exchange (PSX) through the resources based view (RBV) and Stakeholder Theory and the data collection was conducted between 2018 and 2022. Endogeneity and sample selection issues are overcome by the use of fixed effects panel regression, which is complemented with the two-stage least squares (2SLS) estimation, Heckman correction; and propensity score matching (PSM). The results indicate that the use of FinTech will have adverse impact on short-term financial performance and ESG moderation has an additional negative impact on FinTech of market-based performance measures. These findings can indicate that within the changing regulatory context in Pakistan the congruence of digital innovation and sustainability goals creates compliance costs and transitional inefficiencies that suppress profitability in the short term. The research paper has added to the existing body of limited literature on FinTech-ESG relationships in the South Asian emerging market that has limited actionable implications to the regulators, bank managers, and the investors working in the banking industry of Pakistan.

ABSTRACT This study investigates how knowledge network embedding (KNE) drives digital innovation in gazelle firms – enterprises characterised by rapid growth but inherent resource constraints. Integrating network theory with the dynamic capabilities perspective, we propose a moderated mediation model wherein technology opportunity capability (comprising sensing and responsiveness) mediates the KNE-innovation relationship, while strategic fit acts as a critical boundary condition. Analyzing survey data from 325 Chinese gazelle firms using partial least squares structural equation modeling (PLS-SEM), we find that KNE significantly enhances digital innovation. Crucially, this effect is partially mediated by both technology sensing and responsiveness capabilities. Furthermore, strategic fit positively moderates the impact of KNE on these dynamic capabilities and strengthens the overall indirect effect on digital innovation. These findings reveal that structural embeddedness alone is insufficient; gazelle firms must cultivate specific dynamic capabilities and ensure strategic congruence with their network partners to fully capitalise on external knowledge. This research advances innovation literature by elucidating the microfoundations and boundary conditions of network-driven digital transformation in high-velocity contexts.

As industrial internet platforms increasingly play a central role in the digital transformation of manufacturing, they have become crucial areas for manufacturing enterprises to pursue digital innovation. Current academic research has paid relatively little attention to the digital innovation of participating enterprises within industrial internet platforms, failing to fully reveal the driving mechanisms of such innovation in this context. Based on the TOE framework and adopting a platform participant perspective, this study employs fuzzy set qualitative comparative analysis (fsQCA). By surveying 169 manufacturing enterprises participating in industrial internet platforms, it integrates seven key antecedents—technology availability, technology fit, digital leadership, organizational structural flexibility, resource orchestration, policy support, and competitive pressure—to systematically explore the complex influence pathways of multi-factor concurrent interactions on digital innovation. The research results show that the high digital innovation of manufacturing enterprises on the industrial internet platform includes precise implementation type, exploration-oriented type and co-evolution type, while the non-high digital innovation paths include technology blocking type, dual-core absence type and system disorder type. These conclusions expand the theoretical framework for digital innovation in manufacturing enterprises within industrial internet platforms and offer practical recommendations for their digital innovation practices.

Patients forget up to 80% of information conveyed during medical consultations. While clinicians may provide hand-written notes to patients during in-person appointments, such opportunities are limited in telehealth. Palliative care patients with complex information needs may benefit from consultation summaries. We developed a consultation summary application (CSA) to generate patient-facing summaries during video telehealth, in a palliative care context. Traditional research methods fall short in early identification and resolution of socio-technical factors, e.g., workflow compatibility, which impact the adoption of digital health innovations. Drawing on the Service Readiness Level Framework, we adopted a phased approach to generating evidence for the CSA. We conducted clinical simulations with seven clinician-simulated patient dyads involving the metastatic lung cancer scenario to examine and address usability and workflow integration issues prior to real-world implementation. Both clinicians and simulated patients perceived the CSA as a valuable tool to support palliative care patients with information recall and self-management. We recommend clinical simulation to de-risk real-world deployment, and optimise the digital health innovations.

TRENDS IN ISLAMIC EXTRACURRICULAR RESEARCH IN INDONESIA (SYSTEMARIC REVIEW OF SINTA JOURNAL 2020–2024) This study aims to map research trends related to Islamic extracurricular activities in Indonesia based on scientific publications indexed in the Science and Technology Index (SINTA) during the 2020–2024 period. Islamic extracurricular activities play a strategic role in developing students’ religious character, reinforcing Islamic school culture, and habituating religious practices in both schools and madrasahs. Previous studies indicate variation in themes, methodological approaches, and empirical findings, requiring a systematic review to provide a comprehensive scholarly overview of the current research landscape.This research applies a Systematic Literature Review (SLR) approach through stages of identification, screening, eligibility, and selection following the PRISMA protocol. Data were obtained by searching SINTA 1–4 indexed journals using keywords related to Islamic extracurricular activities. Out of 112 identified articles, 40 passed the title and abstract screening, 38 passed full-text eligibility assessment, and 38 articles met the inclusion criteria and were synthesized using a structured data extraction instrument covering research focus, methodology, objects of study, and findings.The findings show that recent research trends are dominated by themes of religious character development, worship habituation, Islamic school culture reinforcement, and Qur’an memorization programs. Qualitative descriptive research is the most dominant approach, followed by classroom action research and quantitative studies. Overall, studies consistently conclude that Islamic extracurricular activities positively contribute to the development of students’ religious character, academic motivation, discipline, and social behavior. Future studies are recommended to focus on program evaluation, organizational management, implementation effectiveness, and digital innovation.

Purpose As global tourism accelerates, ecotourism has emerged as a strategic response to the environmental and social challenges posed by mass tourism. The integration of Industry 4.0 technologies into ecotourism holds the potential to support sustainable development, yet also introduces significant implementation barriers. This study aims to examine the impacts, challenges and opportunities of applying Industry 4.0 technologies in ecotourism, while mapping thematic clusters and future research directions with attention to environmental, social and economic sustainability. Design/methodology/approach A hybrid systematic literature review was conducted by using the PRISMA framework and Natural Language Processing (NLP). A total of 163 peer-reviewed articles published between 2017 and 2024 were retrieved from Scopus and Web of Science. Bibliometric analysis using VOSviewer was used to examine author collaboration and keyword co-occurrence. At the same time, topic modeling via latent Dirichlet allocation and semantic clustering (Sentence-BERT and Uniform Manifold Approximation and Projection) identified five key research clusters. Findings These clusters relate to the application of Internet of Things, artificial intelligence, blockchain, augmented reality/virtual reality and big data in ecotourism. While these technologies offer benefits such as real-time monitoring, personalized experiences and transparent certification, adoption remains limited because of infrastructure, cost and governance challenges. A four-stage digital roadmap (2020–2050) is proposed to guide the ecotourism digital transition. Research limitations/implications This study is limited by its reliance on peer-reviewed sources indexed in Scopus, which may exclude recent innovations and practitioner-led initiatives in ecotourism. The focus on publications from 2017 to 2024 could also overlook earlier foundational work. While the hybrid PRISMA and NLP approach improves thematic depth, variations in terminology and regional context may result in the omission of relevant studies. Future research should broaden data sources and explore multilingual and practice-based perspectives to strengthen the applicability of findings across diverse ecotourism settings. Practical implications The findings provide actionable insights for multiple stakeholders aiming to implement Industry 4.0 technologies in tourism destinations. For policymakers, the quadrant mapping of research clusters and roadmap visualization serve as strategic tools to prioritize digital infrastructure development, capacity building and adaptive policy design based on technology readiness and contextual needs. Tourism operators can leverage the findings to identify scalable solutions, such as real-time monitoring or AI-driven planning, while being aware of adoption barriers, such as interoperability, training gaps and visitor acceptance. Technology providers may use the thematic clusters to develop localized, low-cost applications suited to underserved ecotourism regions. Furthermore, the framework equips funding bodies and NGOs with an evidence-based foundation to align innovation investments with measurable sustainability outcomes, particularly in regions with limited digital readiness but high ecotourism potential. Social implications This study offers several theoretical contributions to the field of sustainable tourism and digital innovation. First, it extends the literature on smart ecotourism by applying a hybrid NLP bibliometric review framework, demonstrating how NLP and semantic clustering can complement traditional PRISMA-based approaches in uncovering latent research patterns. This methodology enhances the systematic analysis of large, unstructured corpora and supports the development of evidence-based research agendas in emerging tourism technologies. Originality/value This study contributes a novel hybrid NLP bibliometric framework for tourism research and provides actionable insights for policymakers, tourism operators and technology providers aiming to foster inclusive, technology-enabled sustainable tourism.

This study investigated the relationship between digital governance and sustainable development across the European Union (EU-27) during the period 2015–2023. Although digital transformation has become a central policy priority, empirical evidence on how e-government adoption contributes to sustainability performance remains limited. Using panel data from Eurostat and the UN Sustainable Development Solutions Network, the analysis employed advanced econometric techniques, including Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS), and Method of Moments Quantile Regression (MMQR), to explore both long-run relationships and heterogeneous effects across countries. The model incorporates key indicators such as the percentage of individuals using e-government services, Gross Domestic Product (GDP) per capita growth, and Research and Development (R&D) expenditure, capturing, respectively, digital governance adoption, innovation potential, and economic capacity, as essential drivers of sustainable development. Results indicate a strong and statistically significant positive association between digital governance adoption and sustainable development outcomes. The quantile regression analysis reveals that this effect is more pronounced in countries with higher innovation intensity and stronger economic capacity, suggesting that digital governance amplifies sustainability benefits in countries with more advanced institutional and technological infrastructures. Robustness checks confirm the stability of the findings across multiple estimation techniques. The results underscore the need for inclusive and innovation-driven digital strategies to ensure that the benefits of digital governance are equitably distributed, ultimately enhancing the EU’s progress towards the Sustainable Development Goals.

In the context of the emerging era of digital intelligence, the high-quality development and transformation of the publishing industry depend not only on digital technological innovation but also on the central role of data. As a critical factor of production, data plays an indispensable role in promoting the transformation of the publishing industry toward a data-driven paradigm. Within this context, publishing forms are gradually evolving from traditional print-based publishing to data-centered data publishing. This transformation enables the publishing industry to achieve multidimensional improvements in the process of digital development. Based on the contemporary technological and social context, this paper examines the current status of the publishing industry’s transition toward data-driven development, analyzes the problems encountered in the transformation of publishing business models, and proposes policy recommendations and strategic pathways for the future development of data publishing. Based on literature analysis and an examination of industry practices, this paper analyzes the current status, identifies key obstacles including technological bottlenecks, copyright dilemmas, and international expansion challenges, and proposes development pathways such as building a new data circulation ecosystem, establishing a compliance governance system, and reshaping narrative systems to promote international markets.

Zakat, as one of the pillars of Islam, serves not only as a religious obligation but also as a socio-economic instrument with significant potential to contribute to sustainable development. This study applies a meta-analytic approach to evaluate the role of zakat in achieving the Sustainable Development Goals (SDGs), particularly in poverty reduction (SDG 1) and social empowerment (SDGs 4, 5, 8, 10, and 16). A systematic review of 45 empirical studies published between 2000 and 2025 was conducted, covering diverse regions such as Southeast Asia, Africa, and the Middle East. Effect sizes were extracted and analyzed to synthesize evidence on zakat’s impact on income, consumption, education, health, entrepreneurship, and social participation. The findings indicate that zakat reduces poverty incidence by 20–25% on average, improves access to basic services, and strengthens empowerment, especially through productive zakat programs. Variations across regions were observed, with centralized and transparent zakat systems in Indonesia and Malaysia yielding stronger outcomes compared to fragmented systems in Sudan and Pakistan. Furthermore, digital innovation and integration with national welfare programs emerged as key drivers of effectiveness. Robustness tests confirmed the reliability of the results, with no significant publication bias detected. Overall, zakat proves to be a transformative mechanism that aligns with global development goals, offering both immediate relief and long-term empowerment for Muslim societies.