Collaboration between large enterprises and startups is a distinct partnership that drives innovation by combining startups' agility and risk-taking with enterprises' resources and experience. While the literature on partner selection focuses primarily on developed economies, there is limited research on this topic in the context of emerging economies. This study addresses this gap by exploring the key factors that enable startups in Vietnam, an emerging economy, to secure partnerships with large enterprises. Using nine cases, we examine the aims and criteria prioritized by large enterprises in Vietnam when selecting a partner from among startups. This study contributes to the literature by providing new insights into the dynamics of collaboration between large enterprises and startups in emerging economies and offers the first empirical examination of partner selection in this context. This study also offers practical implications for entrepreneurs by highlighting key factors that increase the likelihood of successful partnerships or investments between startups and large enterprises in emerging economies.
{"title":"Mutualism between incumbents and startups in emerging economies: Partner selection in David and Goliath relationships","authors":"Shigeki Kanemoto , Taro Sugihara , Masaharu Tsujimoto","doi":"10.1016/j.joitmc.2025.100507","DOIUrl":"10.1016/j.joitmc.2025.100507","url":null,"abstract":"<div><div>Collaboration between large enterprises and startups is a distinct partnership that drives innovation by combining startups' agility and risk-taking with enterprises' resources and experience. While the literature on partner selection focuses primarily on developed economies, there is limited research on this topic in the context of emerging economies. This study addresses this gap by exploring the key factors that enable startups in Vietnam, an emerging economy, to secure partnerships with large enterprises. Using nine cases, we examine the aims and criteria prioritized by large enterprises in Vietnam when selecting a partner from among startups. This study contributes to the literature by providing new insights into the dynamics of collaboration between large enterprises and startups in emerging economies and offers the first empirical examination of partner selection in this context. This study also offers practical implications for entrepreneurs by highlighting key factors that increase the likelihood of successful partnerships or investments between startups and large enterprises in emerging economies.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100507"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.joitmc.2025.100500
Tolulope T. Osinubi , Folorunsho M. Ajide , Munacinga Simatele
Sustainable development attempts to support the growth of individuals, communities, and cultures to attain a reasonable and equitable quality of life, healthcare, and education worldwide. Entrepreneurship and digitalization are widely acknowledged to be important in achieving sustainable development by creating job opportunities, increasing innovation, and supporting environmentally responsible corporate practices. Thus, the study explores the moderating role of digitalization in the nexus between entrepreneurship and sustainable development in Africa between 2006 and 2019. This is crucial in this era of digital technologies, especially in Africa where entrepreneurship may serve as a bedrock for economic development and growth. The study employs Driscoll and Kraay, Lewbel's two-stage least squares, and system generalized method of moments (SYGMM) techniques. The findings show that entrepreneurship positively influences sustainable development. Digitalization has a positive effect on sustainable development. Also, it acts as a complement to the entrepreneurship-sustainable development nexus, implying that digitalization enhances entrepreneurship in spurring sustainable development in Africa. Also, the findings show that both digitalization and entrepreneurship contribute to economic and social sustainability but lead to environmental degradation in Africa. The study, therefore, offers policy recommendations for policymakers, especially in African countries.
{"title":"What role does digitalization play in the entrepreneurship-sustainable development nexus in Africa?","authors":"Tolulope T. Osinubi , Folorunsho M. Ajide , Munacinga Simatele","doi":"10.1016/j.joitmc.2025.100500","DOIUrl":"10.1016/j.joitmc.2025.100500","url":null,"abstract":"<div><div>Sustainable development attempts to support the growth of individuals, communities, and cultures to attain a reasonable and equitable quality of life, healthcare, and education worldwide. Entrepreneurship and digitalization are widely acknowledged to be important in achieving sustainable development by creating job opportunities, increasing innovation, and supporting environmentally responsible corporate practices. Thus, the study explores the moderating role of digitalization in the nexus between entrepreneurship and sustainable development in Africa between 2006 and 2019. This is crucial in this era of digital technologies, especially in Africa where entrepreneurship may serve as a bedrock for economic development and growth. The study employs Driscoll and Kraay, Lewbel's two-stage least squares, and system generalized method of moments (SYGMM) techniques. The findings show that entrepreneurship positively influences sustainable development. Digitalization has a positive effect on sustainable development. Also, it acts as a complement to the entrepreneurship-sustainable development nexus, implying that digitalization enhances entrepreneurship in spurring sustainable development in Africa. Also, the findings show that both digitalization and entrepreneurship contribute to economic and social sustainability but lead to environmental degradation in Africa. The study, therefore, offers policy recommendations for policymakers, especially in African countries.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100500"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.joitmc.2025.100503
Izabela Jonek-Kowalska, Sara Rupacz
The main purpose of the article is to analyze the inter-organizational cooperation of enterprises for innovation in the Polish economy compared to the rest of Europe. The micro perspective assesses in detail the scope and scale of cooperation of Polish enterprises with selected stakeholders of economic helixes. The macro perspective analyzes the relations for innovation in the Polish economy in comparison with the rest of Europe. As part of the micro analysis, the article uses economy-wide statistical data. The macro perspective is based on the results contained in the European Innovation Scoreboard (EIS). This is a perspective that focuses on the international context of inter-organizational cooperation, enabling comparison of a developing economy with both similar economies and more developed ones within a very narrow, rarely described scope. The research tools are dynamic analysis, comparative analysis, and cluster analysis. The analysis shows that the extent of inter-organizational cooperation for innovation is low compared to other European countries, even emerging and developing ones. Companies are most likely to develop complementary relationships on the business-to-business line. A part of those active in innovation and interested in cooperation also establish contacts with universities (less often with research institutes). Cooperation with government and local government units is at a low and constant level over time. Even lower is the extent of relations with the third sector in cooperation with non-profit organizations. Inter-organizational ties are primarily national in nature. International cooperation is primarily business-to-business and mainly involves EU and EFTA countries. The underdeveloped economic helixes translate into Poland’s low innovation score in the European Innovation Scoreboard (EIS), including Linkages in particular. These results are not justified by the lower level of economic development and the recent systemic transformation, as the group of countries in the so-called Eastern Bloc includes economies with a high level of innovation and above-average scope of cooperation for innovation, such as Estonia or Slovenia.
{"title":"Inter-organizational cooperation in the diffusion and improving of innovativeness in micro and macro perspectives: A case of developing economy in an international context","authors":"Izabela Jonek-Kowalska, Sara Rupacz","doi":"10.1016/j.joitmc.2025.100503","DOIUrl":"10.1016/j.joitmc.2025.100503","url":null,"abstract":"<div><div>The main purpose of the article is to analyze the inter-organizational cooperation of enterprises for innovation in the Polish economy compared to the rest of Europe. The micro perspective assesses in detail the scope and scale of cooperation of Polish enterprises with selected stakeholders of economic helixes. The macro perspective analyzes the relations for innovation in the Polish economy in comparison with the rest of Europe. As part of the micro analysis, the article uses economy-wide statistical data. The macro perspective is based on the results contained in the European Innovation Scoreboard (EIS). This is a perspective that focuses on the international context of inter-organizational cooperation, enabling comparison of a developing economy with both similar economies and more developed ones within a very narrow, rarely described scope. The research tools are dynamic analysis, comparative analysis, and cluster analysis. The analysis shows that the extent of inter-organizational cooperation for innovation is low compared to other European countries, even emerging and developing ones. Companies are most likely to develop complementary relationships on the business-to-business line. A part of those active in innovation and interested in cooperation also establish contacts with universities (less often with research institutes). Cooperation with government and local government units is at a low and constant level over time. Even lower is the extent of relations with the third sector in cooperation with non-profit organizations. Inter-organizational ties are primarily national in nature. International cooperation is primarily business-to-business and mainly involves EU and EFTA countries. The underdeveloped economic helixes translate into Poland’s low innovation score in the European Innovation Scoreboard (EIS), including Linkages in particular. These results are not justified by the lower level of economic development and the recent systemic transformation, as the group of countries in the so-called Eastern Bloc includes economies with a high level of innovation and above-average scope of cooperation for innovation, such as Estonia or Slovenia.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100503"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.joitmc.2025.100501
Tran Le Nguyen , Juraj Sipko , Van Kien Pham
While traditional behavioral finance theories such as the TRA, TPB, and TAM have provided substantial insights, their application to the rapidly evolving digital finance sector, particularly cryptocurrency markets, has been limited. Addressing this gap, our study integrates Digital Trust Theory (DTT) with these frameworks to examine the role of government support in Crypto Adoption (CA) within Vietnam's dynamic but unregulated market, a prominent emerging market in global crypto trading. Utilizing Structural Equation Modeling, we processed data collected from 255 participants using SmartPLS 4.0 to explore complex relationships among User Characteristics (UC), Technology Characteristics (TC), External Environment (EX), and their impacts on Crypto Trust (CT) and Crypto Adoption CA. This dataset, comprising responses from a diverse array of participants including tech-savvy youths, business professionals, and financial experts across various regions of Vietnam, provides a robust basis for understanding the nuanced influences on cryptocurrency behaviors. Our findings underscore the significant mediating roles of Crypto Trust and governmental regulation, highlighting the crucial influence of External Environment factors on trust dynamics. These insights not only contribute to academic discourse by refining traditional behavioral finance theories for the digital era but also offer practical guidance for fostering a sustainable cryptocurrency market, thereby supporting economic development and financial security in Vietnam.
{"title":"Cryptocurrency in Vietnam: A deep dive into adoption factors and their interactions","authors":"Tran Le Nguyen , Juraj Sipko , Van Kien Pham","doi":"10.1016/j.joitmc.2025.100501","DOIUrl":"10.1016/j.joitmc.2025.100501","url":null,"abstract":"<div><div>While traditional behavioral finance theories such as the TRA, TPB, and TAM have provided substantial insights, their application to the rapidly evolving digital finance sector, particularly cryptocurrency markets, has been limited. Addressing this gap, our study integrates Digital Trust Theory (DTT) with these frameworks to examine the role of government support in Crypto Adoption (CA) within Vietnam's dynamic but unregulated market, a prominent emerging market in global crypto trading. Utilizing Structural Equation Modeling, we processed data collected from 255 participants using SmartPLS 4.0 to explore complex relationships among User Characteristics (UC), Technology Characteristics (TC), External Environment (EX), and their impacts on Crypto Trust (CT) and Crypto Adoption CA. This dataset, comprising responses from a diverse array of participants including tech-savvy youths, business professionals, and financial experts across various regions of Vietnam, provides a robust basis for understanding the nuanced influences on cryptocurrency behaviors. Our findings underscore the significant mediating roles of Crypto Trust and governmental regulation, highlighting the crucial influence of External Environment factors on trust dynamics. These insights not only contribute to academic discourse by refining traditional behavioral finance theories for the digital era but also offer practical guidance for fostering a sustainable cryptocurrency market, thereby supporting economic development and financial security in Vietnam.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100501"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Monetary authorities globally have studied central bank digital currency (CBDC) for wholesale and retail applications since the 1990s. Besides countering private cryptocurrencies' influence, central banks have also explored other benefits of CBDC, such as improving their financial oversight, enhancing digital payment systems, and reducing transaction fees and friction. For several years, the Bank of Thailand has also invested in research and development of CBDC, including retail use cases. However, an optimized design for an official launch of a retail CBDC in Thailand has yet to be determined, resembling fragmented progress observed among other central banks. This research has leveraged disruptive innovation theory to provide a fresh perspective on retail CBDC as potentially disruptive financial innovations. Additionally, it has proposed an open innovation-based methodology to determine industry preferences concerning twelve design considerations for retail CBDC and their impact on nine indicators of disruptive innovation. Data has been collected and analyzed from 98 respondents outside the Bank of Thailand, all possessing relevant expertise or experience in electronic payments. Crosstab and logistic regression analyses have indicated that retail CBDC in Thailand could embark on a disruptive innovation trajectory by adhering to defined design choices. Significantly, entering a new detached market has been identified as the most promising entry point, accompanied by explicit recommendations on nine out of twelve design considerations.
{"title":"Assessing disruptive potential of retail central bank digital currency and influence of design considerations: An open innovation approach in Thailand","authors":"Thanwa Wathahong , Roongkiat Ratanabanchuen , Praima Israsena Na Ayudhya , Kitt Tientanopajai","doi":"10.1016/j.joitmc.2025.100502","DOIUrl":"10.1016/j.joitmc.2025.100502","url":null,"abstract":"<div><div>Monetary authorities globally have studied central bank digital currency (CBDC) for wholesale and retail applications since the 1990s. Besides countering private cryptocurrencies' influence, central banks have also explored other benefits of CBDC, such as improving their financial oversight, enhancing digital payment systems, and reducing transaction fees and friction. For several years, the Bank of Thailand has also invested in research and development of CBDC, including retail use cases. However, an optimized design for an official launch of a retail CBDC in Thailand has yet to be determined, resembling fragmented progress observed among other central banks. This research has leveraged disruptive innovation theory to provide a fresh perspective on retail CBDC as potentially disruptive financial innovations. Additionally, it has proposed an open innovation-based methodology to determine industry preferences concerning twelve design considerations for retail CBDC and their impact on nine indicators of disruptive innovation. Data has been collected and analyzed from 98 respondents outside the Bank of Thailand, all possessing relevant expertise or experience in electronic payments. Crosstab and logistic regression analyses have indicated that retail CBDC in Thailand could embark on a disruptive innovation trajectory by adhering to defined design choices. Significantly, entering a new detached market has been identified as the most promising entry point, accompanied by explicit recommendations on nine out of twelve design considerations.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100502"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.joitmc.2025.100505
Agus Harimurti Yudhoyono , Badri Munir Sukoco , Ida Ayu Kartika Maharani , Irfan Kharisma Putra , Fendy Suhariadi
This study examines the characteristics of Indonesia’s scholarly output and its alignment with national development goals. This research focuses on three key questions: how Indonesia’s research output can be categorized into driver, basic, specialized, and declining clusters; the extent to which these research themes align with National Research Priorities and the areas that require greater emphasis; and the correlation between Indonesia’s research themes and its economic drivers, including export commodity sectors, to identify opportunities for enhancing national advancement. To address these questions, the study employs a scientometric approach, utilizing data from SciVal and keyword analysis while integrating economic data from the Indonesian Bureau of Statistics and the Observatory of Economic Complexity to provide a comprehensive and multidimensional analysis. The study employed statistical comparisons to assess the alignment of research outputs with national priorities and economic indicators. The study reveals significant trends in Indonesia’s scholarly output across driver, basic, specialized, and declining research clusters, emphasizing the need for strengthened research efforts in sectors such as energy, business, management, and accounting, alongside targeted investments in fields like chemistry, immunology, and microbiology to bolster global competitiveness. A comparison of Indonesia’s research themes with National Research Priorities underscores a critical misalignment that shows the need for a recalibration towards impactful and strategic research initiatives that are better aligned with national needs and global trends. Disparities between Indonesia’s research output and economic driver sectors, such as mineral fuels and agricultural products, highlight opportunities for enhanced research investment to support better leading economic contributors and elevate scholarly impact.
{"title":"Bridging the gap: Indonesia’s research trajectory and national development through a scientometric analysis using SciVal","authors":"Agus Harimurti Yudhoyono , Badri Munir Sukoco , Ida Ayu Kartika Maharani , Irfan Kharisma Putra , Fendy Suhariadi","doi":"10.1016/j.joitmc.2025.100505","DOIUrl":"10.1016/j.joitmc.2025.100505","url":null,"abstract":"<div><div>This study examines the characteristics of Indonesia’s scholarly output and its alignment with national development goals. This research focuses on three key questions: how Indonesia’s research output can be categorized into driver, basic, specialized, and declining clusters; the extent to which these research themes align with National Research Priorities and the areas that require greater emphasis; and the correlation between Indonesia’s research themes and its economic drivers, including export commodity sectors, to identify opportunities for enhancing national advancement. To address these questions, the study employs a scientometric approach, utilizing data from SciVal and keyword analysis while integrating economic data from the Indonesian Bureau of Statistics and the Observatory of Economic Complexity to provide a comprehensive and multidimensional analysis. The study employed statistical comparisons to assess the alignment of research outputs with national priorities and economic indicators. The study reveals significant trends in Indonesia’s scholarly output across driver, basic, specialized, and declining research clusters, emphasizing the need for strengthened research efforts in sectors such as energy, business, management, and accounting, alongside targeted investments in fields like chemistry, immunology, and microbiology to bolster global competitiveness. A comparison of Indonesia’s research themes with National Research Priorities underscores a critical misalignment that shows the need for a recalibration towards impactful and strategic research initiatives that are better aligned with national needs and global trends. Disparities between Indonesia’s research output and economic driver sectors, such as mineral fuels and agricultural products, highlight opportunities for enhanced research investment to support better leading economic contributors and elevate scholarly impact.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100505"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143562764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The research focuses on the challenges and factors influencing the development of circular waste management business models (CWMBM) in Indonesia, highlighting the reliance on landfills and the need for a transition towards more sustainable practices. Previous studies showing the relationship between factors for the implementation of a circular economy have been widely conducted but have neglected the discussion of factor priorities based on the influence of these factors on other factors, especially for the green transition towards a circular economy in waste management. This study aims to delineate the prioritisation of factors influencing the circular waste management business model, based on their impact on other factors. This study employed multiple case studies, causal loop diagrams (CLD), and the DEMATEL method to prioritize factors influencing the transition to a circular business model in green waste management, ultimately identifying sustainable risks and achievable Sustainable Development Goals (SDGs). Key findings revealed that community willingness to segregate waste significantly impacts separable waste collection service demand, costs, and waste workers health risks, while the analysis highlights the importance of integrating economic factors like profit into waste management business models to facilitate a green transition. The development of circular waste management businesses prioritizes factors such as waste segregation and service costs in the collection phase. In the prevention and waste reduction phase, the willingness to reduce waste and use plastic packaging is prioritized. Composting food waste is the primary factor in waste disposal and reprocessing phase. Profit is always the primary focus in all phases.
{"title":"Factors and future scenarios for green transition in circular waste management business model development","authors":"Noorhan Firdaus Pambudi , Togar Mangihut Simatupang , S.M. Samindi M.K. Samarakoon , Nur Budi Mulyono , R.M. Chandima Ratnayake , Liane Okdinawati","doi":"10.1016/j.joitmc.2025.100504","DOIUrl":"10.1016/j.joitmc.2025.100504","url":null,"abstract":"<div><div>The research focuses on the challenges and factors influencing the development of circular waste management business models (CWMBM) in Indonesia, highlighting the reliance on landfills and the need for a transition towards more sustainable practices. Previous studies showing the relationship between factors for the implementation of a circular economy have been widely conducted but have neglected the discussion of factor priorities based on the influence of these factors on other factors, especially for the green transition towards a circular economy in waste management. This study aims to delineate the prioritisation of factors influencing the circular waste management business model, based on their impact on other factors. This study employed multiple case studies, causal loop diagrams (CLD), and the DEMATEL method to prioritize factors influencing the transition to a circular business model in green waste management, ultimately identifying sustainable risks and achievable Sustainable Development Goals (SDGs). Key findings revealed that community willingness to segregate waste significantly impacts separable waste collection service demand, costs, and waste workers health risks, while the analysis highlights the importance of integrating economic factors like profit into waste management business models to facilitate a green transition. The development of circular waste management businesses prioritizes factors such as waste segregation and service costs in the collection phase. In the prevention and waste reduction phase, the willingness to reduce waste and use plastic packaging is prioritized. Composting food waste is the primary factor in waste disposal and reprocessing phase. Profit is always the primary focus in all phases.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100504"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-01DOI: 10.1016/j.joitmc.2025.100508
Dasharathraj K. Shetty , R. Vijaya Arjunan , D. Cenitta , Krishnamoorthi Makkithaya , Nikhil Venkatraman Hegde , Shreepathy Ranga Bhatta B , Staissy Salu , T.R. Aishwarya , Pranav Bhat , Phani Kumar Pullela
Artificial intelligence (AI) technology has been rapidly evolving, necessitating that discussions on the need and design of regulatory frameworks be taken seriously. This paper reviews literature regarding AI regulations on a theoretical versus a practical level. It examines the different models of regulation – some of which are risk-based regulation and others are complete prohibition – to gauge the literature’s predictions on the scope, precise features, and direction of AI regulation. With particular reference to the EU AI Act as the primary case study, the paper analyzes the consequences of rules on innovation and the international standards’ impact on AI regulatory measures. The results show that almost all scholarly assumptions are accurate, showing how the issues are integrated at the practical level and where is it still challenging to comply and enforce. This paper advocates for continuous improvement in AI regulatory frameworks and more international interactions to ensure efficient governance for AI technologies. It contributes to ongoing debates about creating future-proof adaptable robust AI regulations which can negotiate the complexity between technological development and social protection.
{"title":"Analyzing AI regulation through literature and current trends","authors":"Dasharathraj K. Shetty , R. Vijaya Arjunan , D. Cenitta , Krishnamoorthi Makkithaya , Nikhil Venkatraman Hegde , Shreepathy Ranga Bhatta B , Staissy Salu , T.R. Aishwarya , Pranav Bhat , Phani Kumar Pullela","doi":"10.1016/j.joitmc.2025.100508","DOIUrl":"10.1016/j.joitmc.2025.100508","url":null,"abstract":"<div><div>Artificial intelligence (AI) technology has been rapidly evolving, necessitating that discussions on the need and design of regulatory frameworks be taken seriously. This paper reviews literature regarding AI regulations on a theoretical versus a practical level. It examines the different models of regulation – some of which are risk-based regulation and others are complete prohibition – to gauge the literature’s predictions on the scope, precise features, and direction of AI regulation. With particular reference to the EU AI Act as the primary case study, the paper analyzes the consequences of rules on innovation and the international standards’ impact on AI regulatory measures. The results show that almost all scholarly assumptions are accurate, showing how the issues are integrated at the practical level and where is it still challenging to comply and enforce. This paper advocates for continuous improvement in AI regulatory frameworks and more international interactions to ensure efficient governance for AI technologies. It contributes to ongoing debates about creating future-proof adaptable robust AI regulations which can negotiate the complexity between technological development and social protection.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100508"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-22DOI: 10.1016/j.joitmc.2025.100499
Mohammad Yaser Mofatteh , Ujjwal Khadka , Omid Fatahi Valilai
Energy management can be designed from different perspectives including production, distribution, and consumption. Focusing on consumption perspective, manufacturing systems can be enhanced by enabling smart machines as agents which operate with their own knowledge representation models in a shopfloor. These agents can benefit from industry 4.0 enablers like IoT including sensors, controllers, and actuators. This paper focuses on how these agents can interoperate with each other and exchange knowledge to optimize energy consumption. Since different knowledge models may not be capable of interacting with other ones based on their different provider semantics. This paper explores the application of blockchain technology for secure, decentralized storage and sharing knowledge models in smart energy systems. The research introduces EnerChain as a blockchain-integrated and a decentralized application (DApp) system prototype that employs smart contracts for access management and conflict resolution. It also incorporates the InterPlanetary File System (IPFS) for efficient off-chain storage, addressing scalability concerns. The feasibility and practicality of this approach are demonstrated through the development of EnerChain. The findings highlight the significant potential of blockchain technology in facilitating efficient knowledge model management for smart shopfloors. Additionally, an operational scenario has been evaluated as a case study for the proposed conceptual model to illustrate how it can solve energy conflicts in a smart environment. An impact analysis at the end of this research shows that EnerChain can make annual 27.5 TWh reduction in residential energy consumption which yields to annual 7.8 million tonnes reduction in CO2 emissions and annual €8.25 billion financial benefits.
{"title":"EnerChain: A decentralized knowledge management framework for smart energy systems with smart manufacturing agents via blockchain technology","authors":"Mohammad Yaser Mofatteh , Ujjwal Khadka , Omid Fatahi Valilai","doi":"10.1016/j.joitmc.2025.100499","DOIUrl":"10.1016/j.joitmc.2025.100499","url":null,"abstract":"<div><div>Energy management can be designed from different perspectives including production, distribution, and consumption. Focusing on consumption perspective, manufacturing systems can be enhanced by enabling smart machines as agents which operate with their own knowledge representation models in a shopfloor. These agents can benefit from industry 4.0 enablers like IoT including sensors, controllers, and actuators. This paper focuses on how these agents can interoperate with each other and exchange knowledge to optimize energy consumption. Since different knowledge models may not be capable of interacting with other ones based on their different provider semantics. This paper explores the application of blockchain technology for secure, decentralized storage and sharing knowledge models in smart energy systems. The research introduces EnerChain as a blockchain-integrated and a decentralized application (DApp) system prototype that employs smart contracts for access management and conflict resolution. It also incorporates the InterPlanetary File System (IPFS) for efficient off-chain storage, addressing scalability concerns. The feasibility and practicality of this approach are demonstrated through the development of EnerChain. The findings highlight the significant potential of blockchain technology in facilitating efficient knowledge model management for smart shopfloors. Additionally, an operational scenario has been evaluated as a case study for the proposed conceptual model to illustrate how it can solve energy conflicts in a smart environment. An impact analysis at the end of this research shows that EnerChain can make annual 27.5 TWh reduction in residential energy consumption which yields to annual 7.8 million tonnes reduction in CO<sub>2</sub> emissions and annual €8.25 billion financial benefits.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100499"},"PeriodicalIF":0.0,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Commercializing technologies from universities is often hindered by insufficient resources, prolonged development cycles, and limited industry engagement. A Technology Transfer Office (TTO) typically supports these efforts, yet many initiatives still fail without an effective strategy. This paper proposes a scenario-based system dynamics model to address the challenge of accelerating technology commercialization. The model integrates key variables, such as funding availability, team performance, inspection delay, and user involvement, within a Technology Readiness Level (TRL) framework. It further provides a structured method for expediting the transition from prototypes to market-ready products. Our results indicate that TTO involvement can reduce delays by directly matching university inventions with early adopters. Furthermore, the results also enhances funding prospects, given that TTOs coordinate seed grants, competitions, and external sponsorships. Meanwhile, additional inventor funding can further influence the development pace, underlining the importance of team performance and resource availability. Overall, team dynamics—including expertise and time allocation—prove critical to rapidly advance TRL levels. The active engagement of end users in design and testing also accelerates improvements. Based on these insights, we present a practical scenario guidance for TTO managers to address funding shortfalls, optimize resources, and shorten commercialization timelines.
{"title":"The scenario of accelerating technology commercialization at research university, a system dynamics approach","authors":"Darminto Pujotomo , Azanizawati Ma'aram , Muhd Ikmal Isyraf , Syed Ahmad Helmi Syed Hassan , Wahyudi Sutopo","doi":"10.1016/j.joitmc.2025.100497","DOIUrl":"10.1016/j.joitmc.2025.100497","url":null,"abstract":"<div><div>Commercializing technologies from universities is often hindered by insufficient resources, prolonged development cycles, and limited industry engagement. A Technology Transfer Office (TTO) typically supports these efforts, yet many initiatives still fail without an effective strategy. This paper proposes a scenario-based system dynamics model to address the challenge of accelerating technology commercialization. The model integrates key variables, such as funding availability, team performance, inspection delay, and user involvement, within a Technology Readiness Level (TRL) framework. It further provides a structured method for expediting the transition from prototypes to market-ready products. Our results indicate that TTO involvement can reduce delays by directly matching university inventions with early adopters. Furthermore, the results also enhances funding prospects, given that TTOs coordinate seed grants, competitions, and external sponsorships. Meanwhile, additional inventor funding can further influence the development pace, underlining the importance of team performance and resource availability. Overall, team dynamics—including expertise and time allocation—prove critical to rapidly advance TRL levels. The active engagement of end users in design and testing also accelerates improvements. Based on these insights, we present a practical scenario guidance for TTO managers to address funding shortfalls, optimize resources, and shorten commercialization timelines.</div></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":"11 1","pages":"Article 100497"},"PeriodicalIF":0.0,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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