Pub Date : 2025-04-03DOI: 10.1016/j.jik.2025.100702
Xingmin Yin , Yun Jin , Zhou Li , Yulin Liu
Although firms contend with multiple challenges in implementing circular economy (CE) practices, open innovation (OI) can be an effective collaborative strategy for firms to overcome technological and informational barriers and achieve CE objectives. Using data from A-share and Science and Technology Innovation Board (STAR Market) listed companies in China from 2003 to 2022, we employ a two-way fixed effects model to examine the impact of OI on firms’ CE practices. The empirical results indicate that OI significantly promotes CE practices, influencing these practices through mechanisms such as trade credit provision, green patent accumulation, and enhanced information exchange. Moreover, government CE policies can strengthen the effect of OI on CE practices. Additionally, intercompany OI has a stronger positive impact on CE practices compared with intracompany and cooperative OI. The effects of OI and the moderating influence of CE policies are more pronounced in the eastern region, which is likely driven by superior industrialization in the region. These findings clarify the relationship between OI and CE practices to advance global CE practices. Future research could explore broader datasets, adopt alternative OI indicators, and conduct cross-country comparisons to further expand this research.
{"title":"How does open innovation promote circular economy practices? Evidence from Chinese listed companies","authors":"Xingmin Yin , Yun Jin , Zhou Li , Yulin Liu","doi":"10.1016/j.jik.2025.100702","DOIUrl":"10.1016/j.jik.2025.100702","url":null,"abstract":"<div><div>Although firms contend with multiple challenges in implementing circular economy (CE) practices, open innovation (OI) can be an effective collaborative strategy for firms to overcome technological and informational barriers and achieve CE objectives. Using data from A-share and Science and Technology Innovation Board (STAR Market) listed companies in China from 2003 to 2022, we employ a two-way fixed effects model to examine the impact of OI on firms’ CE practices. The empirical results indicate that OI significantly promotes CE practices, influencing these practices through mechanisms such as trade credit provision, green patent accumulation, and enhanced information exchange. Moreover, government CE policies can strengthen the effect of OI on CE practices. Additionally, intercompany OI has a stronger positive impact on CE practices compared with intracompany and cooperative OI. The effects of OI and the moderating influence of CE policies are more pronounced in the eastern region, which is likely driven by superior industrialization in the region. These findings clarify the relationship between OI and CE practices to advance global CE practices. Future research could explore broader datasets, adopt alternative OI indicators, and conduct cross-country comparisons to further expand this research.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100702"},"PeriodicalIF":15.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-04-03DOI: 10.1016/j.jik.2025.100689
Muhammad Sadiq , Thuy Dung Pham Thi , Chi Minh Nguyen , Hai-Dung Do
Using green management practices to build sustainable entrepreneurship is both effective and challenging for growing businesses. Meanwhile, knowledge management has proven to be a critical part of contemporary business practices. Thus, there is a growing demand for socially and environmentally aware behaviour as a part of existing strategies for dealing with the effects of such practices in the realm of sustainable entrepreneurial ecosystems. This study adopts a dimensional view of the knowledge-management model and its effect on sustainable entrepreneurship in Malaysia. We also include green information technology (GIT) acceptance in the model to examine its moderating effect on the proposed model. Partial least-squares structural equation modelling is used to explore the connections among variables. The results reveal that knowledge creation and transfer have a significant and positive relationship with sustainable entrepreneurship. However, the application and use of knowledge have insignificant effects on sustainable entrepreneurship. We also find that GIT acceptance significantly moderates the relationship between knowledge creation, knowledge transfer and storage, and sustainable entrepreneurship. By contrast, it insignificantly moderates the association between the application and use of knowledge and sustainable entrepreneurship. Our findings can help those involved in sustainable entrepreneurship development to more effectively utilise knowledge creation, GIT acceptance and adoption, and knowledge application and use.
{"title":"Sustainable entrepreneurship and knowledge management: Role of green information technology in building sustainable entrepreneurial ecosystems","authors":"Muhammad Sadiq , Thuy Dung Pham Thi , Chi Minh Nguyen , Hai-Dung Do","doi":"10.1016/j.jik.2025.100689","DOIUrl":"10.1016/j.jik.2025.100689","url":null,"abstract":"<div><div>Using green management practices to build sustainable entrepreneurship is both effective and challenging for growing businesses. Meanwhile, knowledge management has proven to be a critical part of contemporary business practices. Thus, there is a growing demand for socially and environmentally aware behaviour as a part of existing strategies for dealing with the effects of such practices in the realm of sustainable entrepreneurial ecosystems. This study adopts a dimensional view of the knowledge-management model and its effect on sustainable entrepreneurship in Malaysia. We also include green information technology (GIT) acceptance in the model to examine its moderating effect on the proposed model. Partial least-squares structural equation modelling is used to explore the connections among variables. The results reveal that knowledge creation and transfer have a significant and positive relationship with sustainable entrepreneurship. However, the application and use of knowledge have insignificant effects on sustainable entrepreneurship. We also find that GIT acceptance significantly moderates the relationship between knowledge creation, knowledge transfer and storage, and sustainable entrepreneurship. By contrast, it insignificantly moderates the association between the application and use of knowledge and sustainable entrepreneurship. Our findings can help those involved in sustainable entrepreneurship development to more effectively utilise knowledge creation, GIT acceptance and adoption, and knowledge application and use.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100689"},"PeriodicalIF":15.6,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Entrepreneurial leadership has emerged as a key driver of innovation, yet the underlying mechanisms remain less understood. The current study, grounded in social cognitive theory and social learning theory, examines the role of entrepreneurial leadership in fostering innovative behavior among employees in autonomous work settings, with a particular focus on employee antifragility. It theorizes that employee antifragility mediates the relationship between entrepreneurial leadership and employees' innovative behavior and that the level of job autonomy moderates this association. To examine these dynamics, a two-wave survey was conducted with 358 full-time employees from various U.S. industries, employing Smart PLS-SEM, importance-performance map analysis, and necessary condition analysis for data analysis. The findings demonstrate a significant impact of entrepreneurial leadership on employees' innovative behavior, with employee antifragility acting as a key mediator. Furthermore, job autonomy was found to enhance the influence of entrepreneurial leadership on employee antifragility. The research offers practical insights for organizations aiming to boost innovation, suggesting that developing entrepreneurial leadership, nurturing employee antifragility, and supporting job autonomy are essential. The holistic perspective on the interplay of entrepreneurial leadership, employee antifragility, and job autonomy provides a new understanding of innovation in organizational settings.
{"title":"Cultivating innovative behaviors: How entrepreneurial leaders foster employees’ antifragility within autonomous work settings","authors":"Mashael Malibari , Saleh Bajaba , Abdulah Bajaba , Abdulrahman Basahal","doi":"10.1016/j.jik.2025.100701","DOIUrl":"10.1016/j.jik.2025.100701","url":null,"abstract":"<div><div>Entrepreneurial leadership has emerged as a key driver of innovation, yet the underlying mechanisms remain less understood. The current study, grounded in social cognitive theory and social learning theory, examines the role of entrepreneurial leadership in fostering innovative behavior among employees in autonomous work settings, with a particular focus on employee antifragility. It theorizes that employee antifragility mediates the relationship between entrepreneurial leadership and employees' innovative behavior and that the level of job autonomy moderates this association. To examine these dynamics, a two-wave survey was conducted with 358 full-time employees from various U.S. industries, employing Smart PLS-SEM, importance-performance map analysis, and necessary condition analysis for data analysis. The findings demonstrate a significant impact of entrepreneurial leadership on employees' innovative behavior, with employee antifragility acting as a key mediator. Furthermore, job autonomy was found to enhance the influence of entrepreneurial leadership on employee antifragility. The research offers practical insights for organizations aiming to boost innovation, suggesting that developing entrepreneurial leadership, nurturing employee antifragility, and supporting job autonomy are essential. The holistic perspective on the interplay of entrepreneurial leadership, employee antifragility, and job autonomy provides a new understanding of innovation in organizational settings.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100701"},"PeriodicalIF":15.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-28DOI: 10.1016/j.jik.2025.100688
Farzaneh Eslamloo , Kerry Brown , Zahra Amrollahi Biyouki
This study examined the influence of the Western Australian and Iranian startup ecosystem contexts, including the powers and liabilities that determine startups’ commercialisation outcomes. By utilising a theoretical framework based on programme evaluation, explanatory theory building, and critical realism, a cross-contextual comparison study was conducted. The study showed that the context of startup accelerator programmes and the startup ecosystem is an important determinant of commercialisation outcomes. The study revealed factors that impede startup accelerator programme success, including low follow-on investment, ecosystem immaturity, the ineffective agency of the Western Australian and Iranian governments, low levels of talent among startup agents, and the shortcomings of the startup accelerator programmes. The research confirmed that programme evaluation is a suitable theoretical base for the evaluation of startup accelerator programmes by determining what works, for whom, in what context, and why. It extended the existing body of knowledge by developing the change models of the startup accelerator programmes studied in the context of Western Australia and Iran, which can be applied in research on other startup accelerator programmes in different contexts.
{"title":"Successful commercialisation in startup accelerator programmes: How different startup ecosystems matter","authors":"Farzaneh Eslamloo , Kerry Brown , Zahra Amrollahi Biyouki","doi":"10.1016/j.jik.2025.100688","DOIUrl":"10.1016/j.jik.2025.100688","url":null,"abstract":"<div><div>This study examined the influence of the Western Australian and Iranian startup ecosystem contexts, including the powers and liabilities that determine startups’ commercialisation outcomes. By utilising a theoretical framework based on programme evaluation, explanatory theory building, and critical realism, a cross-contextual comparison study was conducted. The study showed that the context of startup accelerator programmes and the startup ecosystem is an important determinant of commercialisation outcomes. The study revealed factors that impede startup accelerator programme success, including low follow-on investment, ecosystem immaturity, the ineffective agency of the Western Australian and Iranian governments, low levels of talent among startup agents, and the shortcomings of the startup accelerator programmes. The research confirmed that programme evaluation is a suitable theoretical base for the evaluation of startup accelerator programmes by determining what works, for whom, in what context, and why. It extended the existing body of knowledge by developing the change models of the startup accelerator programmes studied in the context of Western Australia and Iran, which can be applied in research on other startup accelerator programmes in different contexts.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100688"},"PeriodicalIF":15.6,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143716151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-27DOI: 10.1016/j.jik.2025.100699
Oscar Arroyo-Revilla , Cayetano Medina-Molina , Carlos Bellón Núñez-Mera , Noemí Pérez-Macías
Business Angels (BAs) are pivotal in early-stage funding for entrepreneurship. This study explores the factors influencing BA investment decisions. We propose a theoretical model based on signaling theory to assess the impact of signals about the quality of entrepreneurs and projects on investment assessments and decisions. Using qualitative comparative analysis (QCA) on 88 survey responses from BAs in Spain, we identify the signal combinations influencing both preliminary evaluation and final investment decisions.
Our findings highlight two key insights. First, both entrepreneurial and project-related factors are crucial in assessing opportunities and making investment decisions, with the entrepreneur's personal characteristics, particularly trust, being vital. Second, we examine the varying configurations of evaluation criteria used by BAs at different investment stages, revealing that selection criteria evolve from initial screening to the final decision, challenging the previously believed compensatory decision model.
This article enhances the understanding of investment criteria asymmetry, providing valuable insights for the entrepreneurial ecosystem to close funding rounds effectively and revealing significant heterogeneity in BAs investment strategies, thus confirming the concept of equifinality.
{"title":"To invest or not to invest the business Angel´s dilemma","authors":"Oscar Arroyo-Revilla , Cayetano Medina-Molina , Carlos Bellón Núñez-Mera , Noemí Pérez-Macías","doi":"10.1016/j.jik.2025.100699","DOIUrl":"10.1016/j.jik.2025.100699","url":null,"abstract":"<div><div>Business Angels (BAs) are pivotal in early-stage funding for entrepreneurship. This study explores the factors influencing BA investment decisions. We propose a theoretical model based on signaling theory to assess the impact of signals about the quality of entrepreneurs and projects on investment assessments and decisions. Using qualitative comparative analysis (QCA) on 88 survey responses from BAs in Spain, we identify the signal combinations influencing both preliminary evaluation and final investment decisions.</div><div>Our findings highlight two key insights. First, both entrepreneurial and project-related factors are crucial in assessing opportunities and making investment decisions, with the entrepreneur's personal characteristics, particularly trust, being vital. Second, we examine the varying configurations of evaluation criteria used by BAs at different investment stages, revealing that selection criteria evolve from initial screening to the final decision, challenging the previously believed compensatory decision model.</div><div>This article enhances the understanding of investment criteria asymmetry, providing valuable insights for the entrepreneurial ecosystem to close funding rounds effectively and revealing significant heterogeneity in BAs investment strategies, thus confirming the concept of equifinality.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100699"},"PeriodicalIF":15.6,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-27DOI: 10.1016/j.jik.2025.100696
Caterina Lucarelli , Nicoletta Marinelli , Alessandra Micozzi , Maria Zifaro , Maria Palazzo , Antonella Ferri
The actors and components of an entrepreneurial ecosystem coexist and interact continuously, leading to many mutual relationships. Existing studies favour a static approach to the investigation of innovation ecosystems, frequently neglecting the chains of connections between ecosystem domains and business results. This study attempts to fill this gap by studying the causality connections within innovation ecosystems, with a specific focus on the mutual causal links between ecosystem domains and entrepreneurial outcomes. Our empirical analysis is grounded in ecosystem archetypes centred on the entrepreneur, thus emphasising the centrality of the entrepreneur and their capability to absorb, capture, and exploit the surrounding ecosystem. Econometric models attempt to cope with the endogeneity issue and are estimated using the PSED II dataset. We find that ecosystem domains can be placed on a spectrum. This ranges from those with a direct influence on the desirable target of transforming a nascent entrepreneur into a new firm or on the decision to quit business projects to those exerting an indirect influence on the transition to a new firm in the form of higher-order connections among domains.
{"title":"Dynamic interactions between entrepreneurial domains and outcomes: The evolution of innovation ecosystems","authors":"Caterina Lucarelli , Nicoletta Marinelli , Alessandra Micozzi , Maria Zifaro , Maria Palazzo , Antonella Ferri","doi":"10.1016/j.jik.2025.100696","DOIUrl":"10.1016/j.jik.2025.100696","url":null,"abstract":"<div><div>The actors and components of an entrepreneurial ecosystem coexist and interact continuously, leading to many mutual relationships. Existing studies favour a static approach to the investigation of innovation ecosystems, frequently neglecting the chains of connections between ecosystem domains and business results. This study attempts to fill this gap by studying the causality connections within innovation ecosystems, with a specific focus on the mutual causal links between ecosystem domains and entrepreneurial outcomes. Our empirical analysis is grounded in ecosystem archetypes centred on the entrepreneur, thus emphasising the centrality of the entrepreneur and their capability to absorb, capture, and exploit the surrounding ecosystem. Econometric models attempt to cope with the endogeneity issue and are estimated using the PSED II dataset. We find that ecosystem domains can be placed on a spectrum. This ranges from those with a direct influence on the desirable target of transforming a nascent entrepreneur into a new firm or on the decision to quit business projects to those exerting an indirect influence on the transition to a new firm in the form of higher-order connections among domains.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100696"},"PeriodicalIF":15.6,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143704730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-22DOI: 10.1016/j.jik.2025.100682
Samuel Godadaw Ayinaddis
Artificial intelligence (AI) has quickly emerged as a top technological priority for companies in various sectors, radically altering business operations. However, the existing literature reveals a fragmented and inconsistent understanding of AI adoption dynamics between small and medium enterprises (SMEs) and larger, well-established firms. This dichotomy of the existing research raises important questions about whether the AI tools and application modalities used by these companies are inherently similar or if significant differences exist in their implementation and outcomes due to varying organizational sizes. This study evaluates whether small and large firms’ efforts toward implementing AI differ significantly using bibliometric analysis and a systematic literature review from the Web of Science and Scopus databases. A total of 78 peer-reviewed articles were analyzed and categorized states and trends into 10 dimensions: (1) technology readiness, (2) customization, (3) AI tools and needs, (4) data requirements, (5) skills and competencies, (6) financial readiness, (7) management support, (8) market and competitive pressure, (9) partnership and collaboration, and (10) regulatory compliance, based on the technology–organization–environment (TOE) theoretical model. A bibliometric mapping approach was adopted to visualize bibliometric data using VOSviewer. The review brings together collective insights from several leading expert contributors to emphasize areas where SMEs need additional support to fully leverage AI technologies. The results provide pragmatic insights for policymakers, helping them develop tailored approaches for both SMEs and large enterprises to meet their unique needs while acknowledging AI's undeniable role in competitiveness and growth.
{"title":"Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis","authors":"Samuel Godadaw Ayinaddis","doi":"10.1016/j.jik.2025.100682","DOIUrl":"10.1016/j.jik.2025.100682","url":null,"abstract":"<div><div>Artificial intelligence (AI) has quickly emerged as a top technological priority for companies in various sectors, radically altering business operations. However, the existing literature reveals a fragmented and inconsistent understanding of AI adoption dynamics between small and medium enterprises (SMEs) and larger, well-established firms. This dichotomy of the existing research raises important questions about whether the AI tools and application modalities used by these companies are inherently similar or if significant differences exist in their implementation and outcomes due to varying organizational sizes. This study evaluates whether small and large firms’ efforts toward implementing AI differ significantly using bibliometric analysis and a systematic literature review from the Web of Science and Scopus databases. A total of 78 peer-reviewed articles were analyzed and categorized states and trends into 10 dimensions: (1) technology readiness, (2) customization, (3) AI tools and needs, (4) data requirements, (5) skills and competencies, (6) financial readiness, (7) management support, (8) market and competitive pressure, (9) partnership and collaboration, and (10) regulatory compliance, based on the technology–organization–environment (TOE) theoretical model. A bibliometric mapping approach was adopted to visualize bibliometric data using VOSviewer. The review brings together collective insights from several leading expert contributors to emphasize areas where SMEs need additional support to fully leverage AI technologies. The results provide pragmatic insights for policymakers, helping them develop tailored approaches for both SMEs and large enterprises to meet their unique needs while acknowledging AI's undeniable role in competitiveness and growth.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100682"},"PeriodicalIF":15.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143677559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-22DOI: 10.1016/j.jik.2025.100694
Heping Zuo , Mengjie Zhang , Weilun Huang
Lifelong learning within vocational education significantly influences innovation and entrepreneurship decisions. This is particularly pivotal in developing countries where bridging the gap between entrepreneurial talent demands and the supply from vocational institutions is vital. This study develops a tailored game-theoretic model to examine the interactions between government, entrepreneurs, and vocational education providers. It delves into how lifelong learning shapes entrepreneurial strategies, emphasising institutional innovations by the government and adaptability in enterprises. The model suggests that governments provide lifelong learning policies and support, entrepreneurs adjust their needs strategies in response to business developments, and vocational education institutions deliver skill enhancement programmes. The methodology encompasses analysing how lifelong learning initiatives impact entrepreneurial decisions, risk-taking behaviour, and innovative potential. The study's findings reveal that lifelong learning lowers entry barriers, augments adaptability, and fosters innovation. However, it may also lead to heightened risk aversion, slower decision-making, and overreliance on external support, potentially hindering bold innovation. To mitigate these challenges, governments should devise lifelong learning support schemes that foster innovation and risk management. This study contributes theoretical insights for possible latecomer advantages in developing countries.
{"title":"Lifelong learning in vocational education: A game-theoretical exploration of innovation, entrepreneurial spirit, and strategic challenges","authors":"Heping Zuo , Mengjie Zhang , Weilun Huang","doi":"10.1016/j.jik.2025.100694","DOIUrl":"10.1016/j.jik.2025.100694","url":null,"abstract":"<div><div>Lifelong learning within vocational education significantly influences innovation and entrepreneurship decisions. This is particularly pivotal in developing countries where bridging the gap between entrepreneurial talent demands and the supply from vocational institutions is vital. This study develops a tailored game-theoretic model to examine the interactions between government, entrepreneurs, and vocational education providers. It delves into how lifelong learning shapes entrepreneurial strategies, emphasising institutional innovations by the government and adaptability in enterprises. The model suggests that governments provide lifelong learning policies and support, entrepreneurs adjust their needs strategies in response to business developments, and vocational education institutions deliver skill enhancement programmes. The methodology encompasses analysing how lifelong learning initiatives impact entrepreneurial decisions, risk-taking behaviour, and innovative potential. The study's findings reveal that lifelong learning lowers entry barriers, augments adaptability, and fosters innovation. However, it may also lead to heightened risk aversion, slower decision-making, and overreliance on external support, potentially hindering bold innovation. To mitigate these challenges, governments should devise lifelong learning support schemes that foster innovation and risk management. This study contributes theoretical insights for possible latecomer advantages in developing countries.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100694"},"PeriodicalIF":15.6,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multinational companies are increasingly under pressure to integrate decarbonisation into their business models as a sign of climate leadership and as a strategy for their long-term value. Institutional investors play a key role in this, both directly, by influencing the adoption of decarbonisation strategies, and indirectly, by promoting climate governance mechanisms within companies that facilitate the implementation of decarbonisation initiatives and strategies. Analysing a sample of 4,956 companies from 2015 to 2022, we find that institutional investors positively influence companies' decarbonisation strategies through both direct and indirect channels. Although this is not affected by institutional investors' investment horizon or objectives, some types of institutional investors, in particular cross-holdings, financial institutions and pension funds, strengthen governance frameworks and promote more ambitious climate strategies. These findings underscore the critical role of institutional investors in driving corporate climate action, and highlight the need for policymakers and corporate leaders to consider investor-driven governance structures as a lever for accelerating decarbonisation.
{"title":"Decarbonisation strategies and climate governance: Are institutional investors reshaping the business model of multinationals?","authors":"Isabel-María García-Sánchez , Cristina Aibar-Guzmán , M.Luisa López-Pérez , Beatriz Aibar-Guzmán","doi":"10.1016/j.jik.2025.100698","DOIUrl":"10.1016/j.jik.2025.100698","url":null,"abstract":"<div><div>Multinational companies are increasingly under pressure to integrate decarbonisation into their business models as a sign of climate leadership and as a strategy for their long-term value. Institutional investors play a key role in this, both directly, by influencing the adoption of decarbonisation strategies, and indirectly, by promoting climate governance mechanisms within companies that facilitate the implementation of decarbonisation initiatives and strategies. Analysing a sample of 4,956 companies from 2015 to 2022, we find that institutional investors positively influence companies' decarbonisation strategies through both direct and indirect channels. Although this is not affected by institutional investors' investment horizon or objectives, some types of institutional investors, in particular cross-holdings, financial institutions and pension funds, strengthen governance frameworks and promote more ambitious climate strategies. These findings underscore the critical role of institutional investors in driving corporate climate action, and highlight the need for policymakers and corporate leaders to consider investor-driven governance structures as a lever for accelerating decarbonisation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100698"},"PeriodicalIF":15.6,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143679712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-21DOI: 10.1016/j.jik.2025.100697
Kai Tang, Xiaopei Cai, Haijie Wang
Using panel data of 196 cities in 19 urban agglomerations in China from 2012 to 2021, this study analyzes the impact of digital finance on the innovation capacity of urban agglomerations and the underlying mechanisms. The level of digital finance development is measured using Peking University's Digital Financial Inclusion Index. Meanwhile, by manually sorting the relevant evaluation indicators in CSSCI journal papers, creating frequency statistics, and combining the total and average indices, innovation capacity is measured from five aspects: innovation resources, knowledge creation, innovation performance, innovation environment, and innovation collaboration. The results show that digital finance promotes the innovation capacity of urban agglomerations. This effect is stronger for small-scale, highly marketized, and polycentric urban agglomerations. Mechanism analysis shows that, first, via the agglomeration of innovation capital, digital finance provides financial support for improving the innovation capacity of urban agglomerations. Second, by improving entrepreneurial activity, digital finance promotes the formation of an innovation ecosystem. Third, by enhancing credit resource allocation, digital finance encourages more innovation funds to flow into innovative enterprises and promotes innovation capacity in urban agglomerations. Finally, economic policy uncertainty plays an “inverted N-type,” nonlinear moderating role in the relationship between digital finance and innovation capacity. In summary, by introducing digital finance as a key variable into urban agglomeration innovation research, this study expands the theory of financial and regional innovation systems. Next, demonstrating the heterogeneous impact of digital finance on different types of urban agglomerations, the findings can serve as a benchmark against which urban agglomerations can be compared to develop differentiated digital finance development strategies. Finally, the insights can inspire managers to re-examine the complex influence of economic policy uncertainty in the innovation process, which may help them make sound economic decisions.
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