Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100909
Zhengfu Xie , Wanting Liu , Ran Tao , Nicoleta-Claudia Moldovan
Green investment has emerged as a crucial tool for sustainable development, but its determinants across heterogeneous regional contexts remain inadequately understood. This study examines determinants of green investment across Chinese provinces, focusing on R&D intensity, pollution control intensity and innovation capacity. We employed fixed-effects regression and bias-corrected least squares dummy variable (LSDV) dynamic panel estimators to demonstrate that R&D intensity has a significant positive effect on green investment. In contrast, pollution control intensity exhibits negative associations, indicating substitution between conventional pollution control and innovative green technologies. Green investment determinants vary considerably by region, with R&D intensity exhibiting the strongest impacts in Central China and pollution control intensity showing the most pronounced negative effects in the Eastern provinces. These findings contribute to the understanding of green investment determinants and provide valuable insights for policymakers seeking to balance environmental objectives with economic development through targeted regional approaches to R&D promotion and environmental regulation.
{"title":"Driving green investment through innovation and regulation: The role of R&D and pollution control in China","authors":"Zhengfu Xie , Wanting Liu , Ran Tao , Nicoleta-Claudia Moldovan","doi":"10.1016/j.jik.2025.100909","DOIUrl":"10.1016/j.jik.2025.100909","url":null,"abstract":"<div><div>Green investment has emerged as a crucial tool for sustainable development, but its determinants across heterogeneous regional contexts remain inadequately understood. This study examines determinants of green investment across Chinese provinces, focusing on R&D intensity, pollution control intensity and innovation capacity. We employed fixed-effects regression and bias-corrected least squares dummy variable (LSDV) dynamic panel estimators to demonstrate that R&D intensity has a significant positive effect on green investment. In contrast, pollution control intensity exhibits negative associations, indicating substitution between conventional pollution control and innovative green technologies. Green investment determinants vary considerably by region, with R&D intensity exhibiting the strongest impacts in Central China and pollution control intensity showing the most pronounced negative effects in the Eastern provinces. These findings contribute to the understanding of green investment determinants and provide valuable insights for policymakers seeking to balance environmental objectives with economic development through targeted regional approaches to R&D promotion and environmental regulation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100909"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100915
Yao Wang , Xiaoqing Feng , Guangfan Sun , Daosheng Xu
Green innovation serves as a pivotal approach to address environmental challenges and drive sustainable economic development. Using a sample of companies listed on the Shanghai and Shenzhen A-share markets from 2003 to 2024, this study empirically examines how conglomerates affect corporate green innovation. The results show that conglomerates significantly enhance green innovation—particularly in enterprises located in regions with stricter environmental regulations and those with executives possessing stronger environmental awareness. Mechanism tests reveal that the alleviation of “financing constraints” through the internal capital market and the compensation for “knowledge gaps” through the internal knowledge network are key channels through which conglomerates drive green innovation within their member enterprises. These findings not only contribute to the literature on the role of conglomerates in environmental governance but also provide valuable insights for promoting the green transformation and sustainable development of enterprises.
{"title":"Impact of conglomerates on corporate green innovation in China","authors":"Yao Wang , Xiaoqing Feng , Guangfan Sun , Daosheng Xu","doi":"10.1016/j.jik.2025.100915","DOIUrl":"10.1016/j.jik.2025.100915","url":null,"abstract":"<div><div>Green innovation serves as a pivotal approach to address environmental challenges and drive sustainable economic development. Using a sample of companies listed on the Shanghai and Shenzhen A-share markets from 2003 to 2024, this study empirically examines how conglomerates affect corporate green innovation. The results show that conglomerates significantly enhance green innovation—particularly in enterprises located in regions with stricter environmental regulations and those with executives possessing stronger environmental awareness. Mechanism tests reveal that the alleviation of “financing constraints” through the internal capital market and the compensation for “knowledge gaps” through the internal knowledge network are key channels through which conglomerates drive green innovation within their member enterprises. These findings not only contribute to the literature on the role of conglomerates in environmental governance but also provide valuable insights for promoting the green transformation and sustainable development of enterprises.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100915"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145747113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100910
Olena Chygryn , Yevheniia Ziabina , Dalia Štreimikienė , Yuriy Bilan
Smart energy transformation processes include the use of innovative energy technologies and infrastructure and contribute to decreasing the environmental load by reducing greenhouse gas emissions, increasing the quality of service to consumers, ensuring a stable and uninterrupted supply of electricity, and providing the possibility of effective management of energy consumption. Multiple correlation regression analysis is used to test the relationship between the final consumption of electricity and the cost of electricity, import of electricity supply or production meters, including their calibration, electricity production from renewable sources except for hydroelectric power in Ukraine, and total electricity production per person. The study period is 2010–2022. There is a strong direct relationship between the total electricity production per person and the final consumption of electricity, which indicates that an increase in electricity consumption leads to an increase in its output of 17.98% under an optimistic scenario and 50.2% under a pessimistic scenario. Management decisions based on the understanding of the strong dependence between the production and consumption of electricity should be aimed at the balanced development of the energy system, increasing energy efficiency and sustainability, and minimising environmental impact. The smart transformation of the electric power industry should include introducing innovative technologies to improve the efficiency, reliability, and sustainability of energy systems.
{"title":"Outcomes of innovative technologies and smart transformation of the energy sector","authors":"Olena Chygryn , Yevheniia Ziabina , Dalia Štreimikienė , Yuriy Bilan","doi":"10.1016/j.jik.2025.100910","DOIUrl":"10.1016/j.jik.2025.100910","url":null,"abstract":"<div><div>Smart energy transformation processes include the use of innovative energy technologies and infrastructure and contribute to decreasing the environmental load by reducing greenhouse gas emissions, increasing the quality of service to consumers, ensuring a stable and uninterrupted supply of electricity, and providing the possibility of effective management of energy consumption. Multiple correlation regression analysis is used to test the relationship between the final consumption of electricity and the cost of electricity, import of electricity supply or production meters, including their calibration, electricity production from renewable sources except for hydroelectric power in Ukraine, and total electricity production per person. The study period is 2010–2022. There is a strong direct relationship between the total electricity production per person and the final consumption of electricity, which indicates that an increase in electricity consumption leads to an increase in its output of 17.98% under an optimistic scenario and 50.2% under a pessimistic scenario. Management decisions based on the understanding of the strong dependence between the production and consumption of electricity should be aimed at the balanced development of the energy system, increasing energy efficiency and sustainability, and minimising environmental impact. The smart transformation of the electric power industry should include introducing innovative technologies to improve the efficiency, reliability, and sustainability of energy systems.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100910"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100911
Lijuan Huang , Yi Huang , Zhe Rong , Guojie Xie
Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms that shape high levels of entrepreneurial activity. Integrating entrepreneurial ecosystem theory with a configurational perspective, this study proposes an analytical framework that incorporates resource, social, and institutional elements. Using fuzzy-set qualitative comparative analysis on 28 provincial-level administrative regions in China, the study identifies three equifinal pathways to high rural e-commerce entrepreneurial vibrancy: the endogenous factor-driven path, a formal institution-driven path, and a multi-source support-compensatory path. An in-depth analysis of the underlying mechanisms reveals that these pathways correspond to the logics of opportunity leveraging, opportunity building, and institution empowering, respectively. A cross-configurational comparison further identifies two higher-order driving logics: opportunity anchoring and institution anchoring. By moving beyond traditional linear assumptions, our findings highlight the configurational effects that drive rural entrepreneurship, including the substitutional and complementary relationships among constituent elements. These insights not only provide policymakers with a foundation for developing precise, context-specific strategies that transcend "one-size-fits-all" approaches but also offer a novel theoretical perspective on how less-developed regions can achieve endogenous development through diverse combinations of resource endowments.
{"title":"Knowledge and drivers of rural e-commerce entrepreneurial vibrancy: A fuzzy-set qualitative comparative analysis study","authors":"Lijuan Huang , Yi Huang , Zhe Rong , Guojie Xie","doi":"10.1016/j.jik.2025.100911","DOIUrl":"10.1016/j.jik.2025.100911","url":null,"abstract":"<div><div>Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms that shape high levels of entrepreneurial activity. Integrating entrepreneurial ecosystem theory with a configurational perspective, this study proposes an analytical framework that incorporates resource, social, and institutional elements. Using fuzzy-set qualitative comparative analysis on 28 provincial-level administrative regions in China, the study identifies three equifinal pathways to high rural e-commerce entrepreneurial vibrancy: the endogenous factor-driven path, a formal institution-driven path, and a multi-source support-compensatory path. An in-depth analysis of the underlying mechanisms reveals that these pathways correspond to the logics of opportunity leveraging, opportunity building, and institution empowering, respectively. A cross-configurational comparison further identifies two higher-order driving logics: opportunity anchoring and institution anchoring. By moving beyond traditional linear assumptions, our findings highlight the configurational effects that drive rural entrepreneurship, including the substitutional and complementary relationships among constituent elements. These insights not only provide policymakers with a foundation for developing precise, context-specific strategies that transcend \"one-size-fits-all\" approaches but also offer a novel theoretical perspective on how less-developed regions can achieve endogenous development through diverse combinations of resource endowments.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100911"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100913
Ana Labella-Fernández , Carlos Martínez-Egea , Belén Payán-Sánchez
This study investigates how entrepreneurial orientation (EO) influences firm performance, focusing on both environmental and financial performance. Drawing on the resource-based view (RBV) and knowledge-based view (KBV), the study develops an integrative framework in which green product and process innovations mediate the EO–performance relationship, while tacit knowledge functions as a boundary condition that strengthens the effects of EO on green product and process innovations. Using survey and objective data from 244 firms in the Spanish textile industry, this study employs partial least squares structural equation modeling and a moderated mediation approach to test the proposed relationships. The findings suggest that green product innovation contributes similarly to environmental and financial performance, whereas green process innovation has a stronger effect on environmental performance. Moreover, tacit knowledge amplifies the impact of EO on green innovation—particularly green product innovation—by facilitating the effective use of internal knowledge resources to achieve sustainability-driven competitiveness. Overall, the study advances the understanding of how EO fosters innovation and performance within the combined frameworks of RBV and KBV, offering theoretical and practical insights for firms aiming to enhance environmental and financial performance by combining EO with knowledge-driven innovation.
{"title":"How does entrepreneurial orientation influence firm performance? A moderated mediation model of tacit knowledge and green innovation","authors":"Ana Labella-Fernández , Carlos Martínez-Egea , Belén Payán-Sánchez","doi":"10.1016/j.jik.2025.100913","DOIUrl":"10.1016/j.jik.2025.100913","url":null,"abstract":"<div><div>This study investigates how entrepreneurial orientation (EO) influences firm performance, focusing on both environmental and financial performance. Drawing on the resource-based view (RBV) and knowledge-based view (KBV), the study develops an integrative framework in which green product and process innovations mediate the EO–performance relationship, while tacit knowledge functions as a boundary condition that strengthens the effects of EO on green product and process innovations. Using survey and objective data from 244 firms in the Spanish textile industry, this study employs partial least squares structural equation modeling and a moderated mediation approach to test the proposed relationships. The findings suggest that green product innovation contributes similarly to environmental and financial performance, whereas green process innovation has a stronger effect on environmental performance. Moreover, tacit knowledge amplifies the impact of EO on green innovation—particularly green product innovation—by facilitating the effective use of internal knowledge resources to achieve sustainability-driven competitiveness. Overall, the study advances the understanding of how EO fosters innovation and performance within the combined frameworks of RBV and KBV, offering theoretical and practical insights for firms aiming to enhance environmental and financial performance by combining EO with knowledge-driven innovation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100913"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-11DOI: 10.1016/j.jik.2025.100903
Massimo Magni , Leonardo Caporarello , Emilia Paolino
The widespread diffusion of information and communication technologies, along with post-pandemic work arrangements, has led organizations to increasingly utilize dispersed teams to integrate knowledge across various locations. Despite the potential benefits, dispersed teams often fail to continuously innovate their processes because of hampered feedback exchange among team members. Our study explores how team dispersion affects the development of team feedback climate, and, in turn, team process innovation. We rely on a structural equation modeling approach applying the Partial Least Squares (PLS) technique to analyze survey data from 594 team members and leaders, as well as objective data across 123 teams. The study highlights that the lack of co-location hinders an effective feedback climate, which is essential for fostering teams’ ability to continuously innovate their work processes. Additionally, it examines how team empowerment can mitigate the negative effects of dispersion by giving team members greater control. Our findings underscore the importance of feedback climate and suggest that empowerment can alleviate the negative effects of dispersion, offering valuable insights for managers and organizations to reap the advantages of new distributed work models and alleviate the burden of liabilities.
{"title":"Team process innovation in the new work landscape: The role of feedback climate and empowerment in dispersed settings","authors":"Massimo Magni , Leonardo Caporarello , Emilia Paolino","doi":"10.1016/j.jik.2025.100903","DOIUrl":"10.1016/j.jik.2025.100903","url":null,"abstract":"<div><div>The widespread diffusion of information and communication technologies, along with post-pandemic work arrangements, has led organizations to increasingly utilize dispersed teams to integrate knowledge across various locations. Despite the potential benefits, dispersed teams often fail to continuously innovate their processes because of hampered feedback exchange among team members. Our study explores how team dispersion affects the development of team feedback climate, and, in turn, team process innovation. We rely on a structural equation modeling approach applying the Partial Least Squares (PLS) technique to analyze survey data from 594 team members and leaders, as well as objective data across 123 teams. The study highlights that the lack of co-location hinders an effective feedback climate, which is essential for fostering teams’ ability to continuously innovate their work processes. Additionally, it examines how team empowerment can mitigate the negative effects of dispersion by giving team members greater control. Our findings underscore the importance of feedback climate and suggest that empowerment can alleviate the negative effects of dispersion, offering valuable insights for managers and organizations to reap the advantages of new distributed work models and alleviate the burden of liabilities.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"13 ","pages":"Article 100903"},"PeriodicalIF":15.5,"publicationDate":"2025-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145712327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-10DOI: 10.1016/j.jik.2025.100908
Isabel Ortiz-Marcos , Laura Rodrigo , Miguel Palacios , Rocio Rodriguez-Rivero
We map the intellectual structure of teamwork in project management (PM) using a triangulated bibliometric design to interrogate 16,320 Scopus records (1966–November 2023). Three complementary lenses—keyword co-occurrence (topical cohesion), bibliographic coupling (research front), and co-citation (conceptual foundations)—are interpreted through an IMOI team-effectiveness lens that organizes mediators (affective, behavioral, cognitive) by phase (forming, functioning, finishing). We also overlay AI-related terms and treat AI as a socio-technical mediator—a cognitive augmenter, a coordination infrastructure, and a learning/retention aid—rather than as a standalone topic. To enhance rigor, we document analytic choices in an Assumption & Parameter Log, apply anchor-based labeling rules (Interpretive Propositions), and assess robustness to threshold and resolution choices.
The results reveal three consolidated domains—project success, agile methodologies, and knowledge management—and two emergent domains—virtual/distributed teams and leadership—concentrated in construction and software contexts, where ERP and product development are increasingly prevalent. Across the maps produced, three mediators recur: coordination under uncertainty (behavioral), shared mental models/transactive memory (cognitive), and trust/psychological safety (affective). AI is most visible at topical and research-front layers (decision support, BIM analytics, context-aware allocation) and less embedded in the field’s foundational canon. We contribute a mediator-first account of PM teamwork that clarifies where AI lands in team processes, offer phase-specific guidance for matching AI affordances to mediators, and demonstrate a reproducible mapping protocol for exploratory bibliometrics. Limitations (single database, concept-measure gaps for AI) suggest the desirability of phase-aware, mechanism-level studies and cross-sector comparisons.
{"title":"Teamwork in project management: Mapping AI as mediator with triangulated bibliometrics (1966–2023) under the IMOI framework","authors":"Isabel Ortiz-Marcos , Laura Rodrigo , Miguel Palacios , Rocio Rodriguez-Rivero","doi":"10.1016/j.jik.2025.100908","DOIUrl":"10.1016/j.jik.2025.100908","url":null,"abstract":"<div><div>We map the intellectual structure of teamwork in project management (PM) using a triangulated bibliometric design to interrogate 16,320 Scopus records (1966–November 2023). Three complementary lenses—keyword co-occurrence (topical cohesion), bibliographic coupling (research front), and co-citation (conceptual foundations)—are interpreted through an IMOI team-effectiveness lens that organizes mediators (affective, behavioral, cognitive) by phase (forming, functioning, finishing). We also overlay AI-related terms and treat AI as a socio-technical mediator—a cognitive augmenter, a coordination infrastructure, and a learning/retention aid—rather than as a standalone topic. To enhance rigor, we document analytic choices in an Assumption & Parameter Log, apply anchor-based labeling rules (Interpretive Propositions), and assess robustness to threshold and resolution choices.</div><div>The results reveal three consolidated domains—project success, agile methodologies, and knowledge management—and two emergent domains—virtual/distributed teams and leadership—concentrated in construction and software contexts, where ERP and product development are increasingly prevalent. Across the maps produced, three mediators recur: coordination under uncertainty (behavioral), shared mental models/transactive memory (cognitive), and trust/psychological safety (affective). AI is most visible at topical and research-front layers (decision support, BIM analytics, context-aware allocation) and less embedded in the field’s foundational canon. We contribute a mediator-first account of PM teamwork that clarifies where AI lands in team processes, offer phase-specific guidance for matching AI affordances to mediators, and demonstrate a reproducible mapping protocol for exploratory bibliometrics. Limitations (single database, concept-measure gaps for AI) suggest the desirability of phase-aware, mechanism-level studies and cross-sector comparisons.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100908"},"PeriodicalIF":15.5,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145731901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Over the years, the over-extraction and unsustainable utilization of natural resources has started to pose a severe environmental risk, necessitating immediate action on issues related to climate change. Therefore, this study examines the relationship between natural resources rent and environmental risk, and whether financial technology (FinTech) and institutional quality moderate this relationship in the context of the top 27 contaminating countries from the years pertaining to 1995 to 2022. Using the novel Method of Moments Quantile Regression (MMQR) approach, our study analyzes heterogeneous long-run coefficients across 10th, 25th, 50th, 75th, and 90th quantiles of environmental risk. In this regard, the MMQR findings have revealed that natural resources rent leads to an increase in the environmental risk, while FinTech and institutional quality tend to mitigate it. The moderation effect models revealed that both FinTech and institutional quality suppress the adverse environmental outcomes that are exerted by the natural resources rent. The Driscoll and Kray standard error (DKse) and Fully Modified Ordinary Least Square (FMOLS) estimation techniques confirm the robustness of the MMQR findings. These findings emphasize that policymakers and think tank initiatives should promote FinTech and robust institutions to encourage sustainable resource utilization in order to mitigate the environmental crisis.
{"title":"Sustainable governance and technological innovation: Moderating environmental risks of resource rents","authors":"Xuefeng Shao , Chengming Hu , Manal Yunis , Lulu Hao","doi":"10.1016/j.jik.2025.100902","DOIUrl":"10.1016/j.jik.2025.100902","url":null,"abstract":"<div><div>Over the years, the over-extraction and unsustainable utilization of natural resources has started to pose a severe environmental risk, necessitating immediate action on issues related to climate change. Therefore, this study examines the relationship between natural resources rent and environmental risk, and whether financial technology (FinTech) and institutional quality moderate this relationship in the context of the top 27 contaminating countries from the years pertaining to 1995 to 2022. Using the novel Method of Moments Quantile Regression (MMQR) approach, our study analyzes heterogeneous long-run coefficients across 10th, 25th, 50th, 75th, and 90th quantiles of environmental risk. In this regard, the MMQR findings have revealed that natural resources rent leads to an increase in the environmental risk, while FinTech and institutional quality tend to mitigate it. The moderation effect models revealed that both FinTech and institutional quality suppress the adverse environmental outcomes that are exerted by the natural resources rent. The Driscoll and Kray standard error (DKse) and Fully Modified Ordinary Least Square (FMOLS) estimation techniques confirm the robustness of the MMQR findings. These findings emphasize that policymakers and think tank initiatives should promote FinTech and robust institutions to encourage sustainable resource utilization in order to mitigate the environmental crisis.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100902"},"PeriodicalIF":15.5,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145689435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the under-researched area of cognitive-affective trust transference within the context of short-form videos (SFV) on the TikTok platform. It also provides new insights into the impact of source homophily that arises from viewing SFV. The study incorporates trust transfer theory into the Stimulus-Organism-Response (SOR) model perspective to examine trust transference. Data were gathered from 411 online users in Malaysia using a purposive sampling technique. Partial least squares structural equation modeling has been used to analyze the data via SmartPLS. The findings suggest that video characteristics, platform trust, and source credibility of SFVs on TikTok affect affective trust and perceived homophily. Additionally, affective trust mediates the impact of perceived homophily on purchase intention. Furthermore, perceived homophily moderates the relationship between affective trust and purchase intention. This study offers original insights into how cognitive trust influences affective trust and purchase intention in TikTok SFVs. It examines trust transfer in livestreams and how perceived source homophily can serve as an effective intervention. The findings have novel theoretical implications, advancing our understanding of trust mechanisms in social media and e-commerce.
{"title":"Trust transference and cognitive affective trust dichotomy in TikTok short-form videos: The moderating role of source homophily","authors":"Rajat Subhra Chatterjee , Mosharrof Hosen , Irfan Hameed , Hafiz Mudassir Rehman","doi":"10.1016/j.jik.2025.100890","DOIUrl":"10.1016/j.jik.2025.100890","url":null,"abstract":"<div><div>This study explores the under-researched area of cognitive-affective trust transference within the context of short-form videos (SFV) on the TikTok platform. It also provides new insights into the impact of source homophily that arises from viewing SFV. The study incorporates trust transfer theory into the Stimulus-Organism-Response (SOR) model perspective to examine trust transference. Data were gathered from 411 online users in Malaysia using a purposive sampling technique. Partial least squares structural equation modeling has been used to analyze the data via SmartPLS. The findings suggest that video characteristics, platform trust, and source credibility of SFVs on TikTok affect affective trust and perceived homophily. Additionally, affective trust mediates the impact of perceived homophily on purchase intention. Furthermore, perceived homophily moderates the relationship between affective trust and purchase intention. This study offers original insights into how cognitive trust influences affective trust and purchase intention in TikTok SFVs. It examines trust transfer in livestreams and how perceived source homophily can serve as an effective intervention. The findings have novel theoretical implications, advancing our understanding of trust mechanisms in social media and e-commerce.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"12 ","pages":"Article 100890"},"PeriodicalIF":15.5,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145689434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-05DOI: 10.1016/j.jik.2025.100907
Giacomo Masali , Donato Morea , Carlo Giglio , Gianpaolo Iazzolino , Guido Perboli , Maria Elena Bruni
This study investigates the complex, nonlinear dynamics of the achievement of Sustainable Development Goals (SDGs) within national innovation ecosystems (NIEs), addressing a critical gap in understanding SDG saturation. Studying this topic is crucial because, despite the growing importance of sustainability issues in innovation ecosystem research driven by social and economic pressure, the literature remains fragmented and undecided, lacking a clear understanding of complex governance and operational frameworks in NIEs. Employing the Bass diffusion model, we analyze 22 years of SDG Index score data (2000–2021) from 177 countries/regions. The model quantifies SDG saturation time, accounting for complex interdependencies and threshold effects overlooked by traditional linear models. Findings reveal characteristic S-shaped adoption curves for most countries, indicating initial slow progress, acceleration driven by imitation, and eventual saturation. Geographical and socioeconomic clustering analyses highlight distinct patterns in SDG progress that depend on the peculiarities of complex systems in national contexts. High-income countries exhibit greater innovation efforts but lower saturation potential due to the proximity to SDG ceilings, while lower-income countries face complex structural constraints. The Bass model proves effective for forecasting SDG saturation and informing policy interventions in complex systems like NIEs, emphasizing the need for context-dependent governance and resource allocation to accelerate equitable sustainable development across the globe.
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