Journal of Open Innovation: Technology, Market, and Complexity最新文献

{"title":"Empirical implementation of coach-cash-connect mentoring model for innovation-driven enterprises in Thailand: Insights for policy development and sustainable growth","authors":"Natcha Thawesaengskulthai ,&nbsp;Awirut Chatmarathong ,&nbsp;Nirada Werasopon ,&nbsp;Jarotwan Koiwanit","doi":"10.1016/j.joitmc.2025.100650","DOIUrl":"10.1016/j.joitmc.2025.100650","url":null,"abstract":"<div><div>This research introduces an operational mentoring framework for Thailand’s innovation-driven enterprises (IDEs), structured around the 3Cs: Coach, Cash, and Connect. Developed from international case studies, expert insights, and pilot data, the model addresses ecosystem gaps through tailored guidance, funding access, and network enhancement. It comprises three phases and seven steps: the <strong>Foundation Phase</strong> (ecosystem entry and connections), the <strong>Acceleration Phase</strong> (3Cs-focused mentoring), and the <strong>Evolution Phase</strong> (scaling and improvement). The framework balances structure with adaptability, making it applicable across sectors such as DeepTech, HealthTech, AgriTech, and the creative economy. Policy recommendations include establishing a national mentorship platform, stage-based financing, mentor certification, and integrated monitoring systems aligned with national innovation goals. The model fosters collaboration among incubators, accelerators, and public–private stakeholders while enabling consistent support for scaling startups. Future research should assess long-term impact and explore AI-powered mentor matching and inclusive strategies for women and regional founders. Ultimately, the 3Cs framework offers a scalable, policy-relevant pathway to strengthen IDEs and support Thailand’s transition from a startup-focused to a scale-up innovation economy.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100650"},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decision analysis for data analytical enterprises with an innovative approach of spherical fuzzy prioritized aggregation operators","authors":"Abrar Hussain ,&nbsp;Shi Yin ,&nbsp;Kifayat Ullah ,&nbsp;Muhammad Waqas ,&nbsp;Sarbast Moslem ,&nbsp;Tapan Senapati","doi":"10.1016/j.joitmc.2025.100642","DOIUrl":"10.1016/j.joitmc.2025.100642","url":null,"abstract":"<div><div>In the rapidly evolving landscape of data analytics, effective decision-making is paramount. Multi-attribute decision-making (MADM) techniques are widely applied to handle uncertainty and vagueness in diverse fields such as medical diagnosis, social selection, networking, and environmental sciences. This article explores the concept of spherical fuzzy sets (SFSs) as a means to manage uncertain expert information more accurately. In addition, we modify prioritized aggregation operators by incorporating the operational laws of Einstein t-norm and t-conorm. The primary focus of this study is to develop a new family of mathematical models, namely spherical fuzzy Einstein prioritized average, spherical fuzzy Einstein prioritized weighted average, spherical fuzzy Einstein prioritized geometric and spherical fuzzy Einstein prioritized weighted geometric operators. Several reliable properties are also demonstrated to validate and establish the proposed operators. Furthermore, a hybrid decision-making model for the MADM problem is constructed to address complex real-life applications. An experimental case study is presented to evaluate suitable data analytical models based on specific criteria and mathematical approaches. To show the superiority and efficiency of the proposed methodologies, a comparative analysis is conducted against existing approaches.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100642"},"PeriodicalIF":0.0,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hidden secrets in the transition to non-technological innovation","authors":"Javad Amani ,&nbsp;Sepehr Ghazinoory ,&nbsp;Gelayol Safavi ,&nbsp;Abolghasem Sarabadani","doi":"10.1016/j.joitmc.2025.100649","DOIUrl":"10.1016/j.joitmc.2025.100649","url":null,"abstract":"<div><div>Recent studies indicate that the topics and issues of innovation have moved away from merely technical attitudes, and innovative concepts have gone beyond conventional approaches and widened and deepened. This is evident in theoretical discussions and at the enterprise level. Today, improving performance and quality, production volume, and even reducing prices is no longer a guarantee of a product's success. These are prevalent innovative strategies that do not necessarily lead to continuous competitiveness for enterprises. In this study’s attitude, innovative concepts do not have a purely economic nature but cover broad and multiple insights. They are essential factors that not only meet people's needs but also touch their inner desires, emotions, and perceptions. The current article deals with innovative species that have experienced other drivers of innovation in addition to technology. In this newer attitude toward innovation, the concept of “human” replaces the idea of “user,” and the innovation factor is related to emotions, meanings, position, and culture. We aim to analyze the components of the non-technological innovation black box from this point of view. This paper proposes a theoretical model and, based on it, introduces a new path for the transition to non-technological innovations. Although it does not neglect technological innovations, it pays more attention to non-technological innovations with the cores of meaning, emotion, and position. We call this new path a non-technological transition, which is a gap in the innovation system and the multilevel perspective (MLP) attitudes. This new paradigm considers the opportunities for non-technological innovations more accessible than technological innovations, especially when there are severe challenges in accessing emerging technologies and technological competition.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100649"},"PeriodicalIF":0.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Why managing knowledge dynamics in open innovation matters in the digital transformation era: A case study of distributed manufacturing in fine ceramics","authors":"Heongu Lee","doi":"10.1016/j.joitmc.2025.100643","DOIUrl":"10.1016/j.joitmc.2025.100643","url":null,"abstract":"<div><div>While national R&amp;D projects have traditionally prioritized technological advancement, they often lack integrated strategic knowledge management frameworks to guide them toward intended outcomes. This becomes increasingly critical in the era of digital transformation, where knowledge flows are accelerated, and diverse sources of expertise, both human and machine-based, must be effectively integrated. This study examines a complex, government-funded digital transformation project in South Korea’s fine ceramics sector that failed to achieve its originally intended outcomes, with a focus on how knowledge dynamics were managed. Building on the SECI model and DIKW hierarchy, the paper proposes a strategic knowledge management framework that accounts for both linear knowledge dynamics (associated with data-driven, technological dimensions) and spiral knowledge dynamics (reflecting socio-cultural and strategic dimensions). Based on focus group interviews and project documentation, the findings reveal that insufficient attention to spiral knowledge dynamics, particularly in open innovation environments, undermines project performance due to overemphasis on linear, technology-centric knowledge flows. The study concludes that the success of digital transformation initiatives depends on managing both linear and spiral knowledge flows in a balanced and integrated manner.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100643"},"PeriodicalIF":0.0,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing Artificial Intelligence, Business Intelligence, and Digital Technologies for achieving supply chain excellence in Oman: Investigating the mediating role of predictive analytics","authors":"Fadi Abdelfattah ,&nbsp;Hisham Madi ,&nbsp;Maryam Al-Washahi ,&nbsp;Aisha AlAraimi ,&nbsp;Saurav Nagi ,&nbsp;Mazhar Abbas","doi":"10.1016/j.joitmc.2025.100644","DOIUrl":"10.1016/j.joitmc.2025.100644","url":null,"abstract":"<div><div>This study examines the impact of digital technologies, particularly Artificial Intelligence (AI), Business Intelligence (BI), and Digital Transformation (DT), on enhancing supply chain performance in Oman’s manufacturing and logistics sectors. Anchored in the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT), the research examines the mediating role of predictive analytics and the moderating effect of organizational readiness in translating digital adoption into operational outcomes. A quantitative approach was applied using structural equation modeling (PLS-SEM) on data from 340 professionals across Omani firms. Results reveal that AI, BI, and DT significantly improve supply chain efficiency, competitive advantage, and cost reduction, while predictive analytics acts as a critical enabler of these effects. Organizational readiness further amplifies performance outcomes, underscoring the importance of internal capabilities in leveraging digital investments. The findings contribute to the open innovation discourse by highlighting the strategic interplay between technology, analytics, and readiness in shaping adaptive and resilient supply chains in emerging markets.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100644"},"PeriodicalIF":0.0,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking disruptive innovation: Key insights and strategies for competitive advantage","authors":"Bárbara Gemelgo ,&nbsp;Leandro F. Pereira ,&nbsp;Álvaro L. Dias ,&nbsp;José Crespo Carvalho","doi":"10.1016/j.joitmc.2025.100641","DOIUrl":"10.1016/j.joitmc.2025.100641","url":null,"abstract":"<div><div>Disruptive innovation plays a decisive role in business success, yet its practical implementation remains underexplored. Despite extensive theoretical work, a persistent gap exists between understanding the concept and applying it effectively within organizations. This systematic literature review analyzes 50 high-impact articles published since 2000 to identify best practices and barriers to implementing disruptive innovation, with particular attention to the role of open innovation as a catalyst. Findings show that adopting innovative, often collaboratively developed business models reduced market-entry barriers in 68 % of the cases studied. Open innovation practices—such as external partnerships, co-creation with customers, and digital platform collaboration—emerged as critical enablers, alongside organizational culture and customer engagement. Key obstacles include incumbent resistance, rigid performance metrics, and resource allocation constraints. The study contributes theoretically by clarifying conceptual boundaries between disruptive and open innovation, and empirically by offering an actionable framework for leveraging open innovation to foster disruptive change in dynamic markets. These findings provide evidence-based guidance for managers, policymakers, and researchers seeking to translate innovation theory into sustainable competitive advantage.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100641"},"PeriodicalIF":0.0,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping responsible artificial intelligence in business and management: Trends, influence, and emerging research directions","authors":"Amol S. Dhaigude ,&nbsp;Giridhar B. Kamath","doi":"10.1016/j.joitmc.2025.100640","DOIUrl":"10.1016/j.joitmc.2025.100640","url":null,"abstract":"<div><div>The rapid integration of AI into business and management demands ethical and responsible technology design and deployment. While various policies and frameworks exist, there is limited understanding of operationalizing responsible artificial intelligence (RAI). The literature remains fragmented, lacking cohesion and clarity. This bibliometric analysis quantitatively evaluates RAI literature’s research trends, key authors, collaborations, and thematic evolution in the business and management domain. A carefully designed search protocol based on an extensive literature review was used to retrieve 1942 research papers from the Scopus database (1981–2025), reflecting a 13.12 % annual growth rate and an average of 25.79 citations per paper. The study applied bibliographic coupling, keyword co-occurrence, and thematic mapping techniques using VOSviewer and Biblioshiny to identify intellectual structures and conceptual linkages. The results reveal four key clusters: \"Ethics and Social Impacts of AI\", \"AI Adoption and Human-AI Interaction\", \"Auditing, Explainability, and Accountability in AI\", and \"Corporate Governance and Data Responsibility in AI\". Future research directions for each cluster are proposed, providing valuable insights for practitioners and academicians. The paper highlights critical implications for developing responsible AI strategies in business and offers guidance for advancing scholarly work in this growing field.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100640"},"PeriodicalIF":0.0,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital knowledge transfer and regional development asymmetries: Empirical Evidence from European patent citations and geolocated economic activity","authors":"Liz Maribel Robladillo Bravo ,&nbsp;Luis Alberto Marcelo Quispe ,&nbsp;Ricardo Fernando Cosio Borda ,&nbsp;Ruth Alina Flores Barrios ,&nbsp;Percy Hugo Quispe-Farfán ,&nbsp;James Arístides Pajuelo Rodríguez ,&nbsp;David De la Cruz-Montoya ,&nbsp;Józef Ober","doi":"10.1016/j.joitmc.2025.100637","DOIUrl":"10.1016/j.joitmc.2025.100637","url":null,"abstract":"<div><div>Regional coordinated development necessitates achieving sustained economic growth and balanced development through regional synergy. In the digital economy era, digital knowledge constitutes a critical source of technological progress and represents a significant determinant of regional coordinated development. This study employs a BERT-based large language model approach in conjunction with European patent citation data spanning 1977–2019 to quantify cross-regional digital knowledge flows, integrating nighttime light intensity and population grid data covering 2000–2020 to examine the impact of digital knowledge flow on regional coordinated development across 296 European NUTS-3 regions during 2001–2019. We extend traditional growth theory to incorporate digital economy dynamics through fixed-effects panel regression models with instrumental variable estimation to address endogeneity concerns. The core empirical findings demonstrate that digital knowledge flowing from developed to underdeveloped regions significantly promotes regional coordinated development, with a 1 % increase in digital knowledge flows associated with improved regional development balance. Mechanism analysis reveals that, conditional on industrial compatibility with digital knowledge in underdeveloped regions, enhancing supply-side adaptation to demand to mitigate factor endowment disparities constitutes the primary channel through which digital knowledge flow facilitates regional coordinated development. Heterogeneity analysis indicates that the effects of digital knowledge flow on regional coordinated development are more pronounced when digital knowledge flows from Western European developed cities to Eastern and Southern European underdeveloped cities, from large developed cities to small underdeveloped cities, and between cities with comparable development levels.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100637"},"PeriodicalIF":0.0,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From measurement to impact: How resource efficiency accounting strengthens corporate environmental performance and social responsibility","authors":"Nguyen Phu Giang ,&nbsp;Cao Hong Loan,&nbsp;Hoang Thi Tam","doi":"10.1016/j.joitmc.2025.100636","DOIUrl":"10.1016/j.joitmc.2025.100636","url":null,"abstract":"<div><h3>Purpose</h3><div>This study examines how five resource efficiency accounting (REA) tools—Material Flow Analysis (MFA), Life Cycle Assessment (LCA), Product-level Resource Accounting (PRA), Carbon Accounting (CA), and Natural Capital Accounting (NCA)—affect Corporate Environmental Performance (CEP) and Corporate Social Responsibility (CSR) in a developing economy. It fills a research gap by analyzing both direct effects and the mediating role of CEP, instead of studying each tool separately.</div></div><div><h3>Methodology</h3><div>Survey data were collected from manufacturing firms listed on Vietnam’s stock exchange. Structural Equation Modeling (SEM) was applied to test the relationships among REA tools, CEP, and CSR. Data quality was verified through screening, validity checks, and factor analysis before modeling.</div></div><div><h3>Findings</h3><div>PRA, MFA, and NCA are strongly linked to better environmental performance. PRA and CA also have a direct positive impact on CSR. CEP acts as a channel that transfers environmental practices into social outcomes. LCA shows the opposite effect or in some situations specific conditions must be met, depending on how results are used and communicated. Firms that adopt multiple REA tools in an integrated way achieve stronger and more consistent sustainability gains than those using a single tool.</div></div><div><h3>Practical implications</h3><div>The study shows the importance of a comprehensive resource efficiency strategy that combines different tools. For managers and policymakers in emerging markets, this highlights the need for training and policy support to promote integrated adoption.</div></div><div><h3>Originality</h3><div>This is one of the first empirical studies in an emerging economy to model the joint impact of several REA tools on CEP and CSR. It also provides new evidence on the role of CEP as a bridge between operational efficiency and social responsibility.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100636"},"PeriodicalIF":0.0,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From challenges to opportunities: Using ICT and AI in Ukrainian education in times of pandemic and War","authors":"Józef Ober ,&nbsp;Tetiana Matusevych ,&nbsp;Oksana Strutynska","doi":"10.1016/j.joitmc.2025.100639","DOIUrl":"10.1016/j.joitmc.2025.100639","url":null,"abstract":"<div><div>Rapid advancement of information and communication technologies (ICT) and artificial intelligence (AI) has significantly influenced various sectors of society, including education. Global challenges such as climate change, pandemics, and military conflicts have further accelerated the adoption of these technologies, driving digital transformation in educational practices. This study examines the role of ICT and AI in shaping education in Ukraine during the COVID-19 pandemic and the ongoing war. Based on international research and insights from the Ukrainian university community, the study involving 458 Ukrainian educators addresses several questions about the use of ICT and AI tools in teaching and learning during these crises. The study also explores the impact of ICT and AI on the teaching and learning process, providing a comprehensive analysis of the' perceptions and practices of Ukrainian educators. In addition, the paper presents the results of the study on the use of digital tools by educators in the dynamics. That is, not only at different stages of the pandemic and the war but also at the stage of using traditional methods and tools during face-to-face (F2F) education (before the pandemic) and in the expected postwar period. This shows changes in educators' attitudes and perceptions of using technology. Despite technological barriers, educators acknowledge the potential of ICT and AI to sustain and enhance educational outcomes. The study offers insights into the effective integration of these tools in education, highlighting the importance of adaptability, professional development, and innovative teaching models in times of uncertainty.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 4","pages":"Article 100639"},"PeriodicalIF":0.0,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}