Pub Date : 2025-10-15DOI: 10.1016/j.jik.2025.100857
Yu Ma , Yongqi Ma , Zijun Ding
Industrial robots are essential for improving productivity and optimizing resource allocation. They help to reduce dependence on traditional labor- and energy-intensive manufacturing methods. While promoting industrial automation, industrial robots have become an important technology for achieving green transformation. Using data from 30 provinces in China from the period 2006 to 2019, this paper examines whether industrial robot applications can enhance Carbon Total Factor Productivity (CTFP). We find that industrial robot applications help to promote CTFP. The robustness test indicates that this result is consistent, while the heterogeneity test shows that the effect of industrial robot applications on CTFP is mainly concentrated in labor-intensive industries, as well as in regions with low technical complexity and strong policy support from the local government. The mechanism test reveals that industrial robot applications can enhance CTFP by enhancing technological innovation and improving human–machine matching.
{"title":"Can industrial robots boost carbon total factor productivity? – Evidence from China","authors":"Yu Ma , Yongqi Ma , Zijun Ding","doi":"10.1016/j.jik.2025.100857","DOIUrl":"10.1016/j.jik.2025.100857","url":null,"abstract":"<div><div>Industrial robots are essential for improving productivity and optimizing resource allocation. They help to reduce dependence on traditional labor- and energy-intensive manufacturing methods. While promoting industrial automation, industrial robots have become an important technology for achieving green transformation. Using data from 30 provinces in China from the period 2006 to 2019, this paper examines whether industrial robot applications can enhance Carbon Total Factor Productivity (CTFP). We find that industrial robot applications help to promote CTFP. The robustness test indicates that this result is consistent, while the heterogeneity test shows that the effect of industrial robot applications on CTFP is mainly concentrated in labor-intensive industries, as well as in regions with low technical complexity and strong policy support from the local government. The mechanism test reveals that industrial robot applications can enhance CTFP by enhancing technological innovation and improving human–machine matching.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100857"},"PeriodicalIF":15.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333118","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 : 2025-10-15DOI: 10.1016/j.jik.2025.100854
Francisco Rabadán , Rafael Barberá , Miguel Cuerdo , Luis Miguel Doncel
This study examines gender differences in the impact of low-stakes test penalties on academic performance for a first-year undergraduate applied economics course at a public university in Spain using a quasi-experimental design. The study explores how the presence or absence of these penalties for incorrect answers influences students’ grades and whether this impact differs by gender. Statistical analyses include descriptive statistics, permutation tests, bootstrap simulations and linear regression models with interaction terms to explore the complex relationships between test penalties, gender ratios and academic outcomes. The results reveal that removing penalties for incorrect answers increases students’ overall grades significantly and female students benefit relatively more from non-penalising environments. Furthermore, the interaction between the penalty level and the proportion of female students in the class shows that increased penalties affect their grades disproportionately, indicating a gender-specific sensitivity to risk. We also demonstrate that while the presence of female students has a positive influence on overall grades, the combined effect of high penalties and a higher proportion of female students results in diminished performance, underscoring the impact of assessment strategies on gender disparities in academic outcomes. These conclusions are based on simulated classroom configurations derived from resampled individual-level data. The observed interaction patterns indicate differentiated adaptive responses to institutional stressors.
{"title":"Gender, knowledge and resilience in evaluation processes","authors":"Francisco Rabadán , Rafael Barberá , Miguel Cuerdo , Luis Miguel Doncel","doi":"10.1016/j.jik.2025.100854","DOIUrl":"10.1016/j.jik.2025.100854","url":null,"abstract":"<div><div>This study examines gender differences in the impact of low-stakes test penalties on academic performance for a first-year undergraduate applied economics course at a public university in Spain using a quasi-experimental design. The study explores how the presence or absence of these penalties for incorrect answers influences students’ grades and whether this impact differs by gender. Statistical analyses include descriptive statistics, permutation tests, bootstrap simulations and linear regression models with interaction terms to explore the complex relationships between test penalties, gender ratios and academic outcomes. The results reveal that removing penalties for incorrect answers increases students’ overall grades significantly and female students benefit relatively more from non-penalising environments. Furthermore, the interaction between the penalty level and the proportion of female students in the class shows that increased penalties affect their grades disproportionately, indicating a gender-specific sensitivity to risk. We also demonstrate that while the presence of female students has a positive influence on overall grades, the combined effect of high penalties and a higher proportion of female students results in diminished performance, underscoring the impact of assessment strategies on gender disparities in academic outcomes. These conclusions are based on simulated classroom configurations derived from resampled individual-level data. The observed interaction patterns indicate differentiated adaptive responses to institutional stressors.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100854"},"PeriodicalIF":15.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333120","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 : 2025-10-15DOI: 10.1016/j.jik.2025.100841
Mona Zavichi, Manuela Aparicio
Non-fungible tokens (NFTs) have garnered attention because of their potential to disrupt traditional business models in various industries. This study provides insights into the drivers of individuals' intentions to purchase NFTs by investigating the relationship between perceived value (scarcity, uniqueness, verifiability, and royalty), as well as facilitating conditions, social influence, individual differences, and personality traits, and the intention to purchase NFTs. Decision-makers, creators, and investors can benefit from understanding these drivers. The proposed model integrates constructs from multiple adoption frameworks and related NFT literature to analyze the individual determinants of NFT purchase intentions. This study utilized a survey to collect data from participants and employed the partial least squares structural equation modeling (PLS/SEM) technique to validate the proposed model empirically. The findings indicate that perceived value, facilitating conditions, social influence, individual differences, and personality traits significantly shape individuals’ intentions to purchase NFTs. Perceived scarcity, verifiability, and royalty were found to be positively associated with perceived value, whereas perceived uniqueness did not demonstrate a statistically significant relationship. Furthermore, the study suggests that individual differences and personality traits do not moderate the relationship between perceived value and NFT purchase intention. However, individual differences and personality traits are directly associated with NFT purchase intention.
{"title":"A theoretical framework and empirical investigation of individual-level NFT purchase intentions and knowledge","authors":"Mona Zavichi, Manuela Aparicio","doi":"10.1016/j.jik.2025.100841","DOIUrl":"10.1016/j.jik.2025.100841","url":null,"abstract":"<div><div>Non-fungible tokens (NFTs) have garnered attention because of their potential to disrupt traditional business models in various industries. This study provides insights into the drivers of individuals' intentions to purchase NFTs by investigating the relationship between perceived value (scarcity, uniqueness, verifiability, and royalty), as well as facilitating conditions, social influence, individual differences, and personality traits, and the intention to purchase NFTs. Decision-makers, creators, and investors can benefit from understanding these drivers. The proposed model integrates constructs from multiple adoption frameworks and related NFT literature to analyze the individual determinants of NFT purchase intentions. This study utilized a survey to collect data from participants and employed the partial least squares structural equation modeling (PLS/SEM) technique to validate the proposed model empirically. The findings indicate that perceived value, facilitating conditions, social influence, individual differences, and personality traits significantly shape individuals’ intentions to purchase NFTs. Perceived scarcity, verifiability, and royalty were found to be positively associated with perceived value, whereas perceived uniqueness did not demonstrate a statistically significant relationship. Furthermore, the study suggests that individual differences and personality traits do not moderate the relationship between perceived value and NFT purchase intention. However, individual differences and personality traits are directly associated with NFT purchase intention.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100841"},"PeriodicalIF":15.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333119","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 : 2025-10-15DOI: 10.1016/j.jik.2025.100833
Iulian Adrian Sorcaru, Mihaela-Carmen Muntean, Ludmila-Daniela Manea, Rozalia Nistor
Research on consumer interactions with artificial intelligence (AI)-powered voice assistants (VAs) in ecotourism is limited. Grounded in expectation confirmation theory and the post-acceptance model of information systems (IS) continuance, this study explores how VAs influence family ecotourism behavior throughout the tourism customer journey, from decision-making to ecotourism loyalty. The conceptual model introduces the novel concept of family ecotourism engagement, which is tested as a mediator of the relationship between family ecotourism satisfaction and loyalty. For the data, 205 parents who traveled with children to Romanian ecotourism destinations completed online surveys in a three-stage data collection process, pre-, in-, and post-visit. Partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were combined in a mixed-methods approach. A key symmetric finding is that VA-driven family ecotourism engagement is likely to mediate the relationship between family ecotourism satisfaction and loyalty. This finding extends research on ecotourism behavior. Asymmetric findings reveal that VA expectations are the most important predictor of family ecotourism loyalty. The study provides practical insights for potential partnerships between key stakeholders to design VAs tailored to ecotourism destinations.
{"title":"Voice assistants in the tourism customer journey: From knowledge and decision-making to ecotourism loyalty in family vacations","authors":"Iulian Adrian Sorcaru, Mihaela-Carmen Muntean, Ludmila-Daniela Manea, Rozalia Nistor","doi":"10.1016/j.jik.2025.100833","DOIUrl":"10.1016/j.jik.2025.100833","url":null,"abstract":"<div><div>Research on consumer interactions with artificial intelligence (AI)-powered voice assistants (VAs) in ecotourism is limited. Grounded in expectation confirmation theory and the post-acceptance model of information systems (IS) continuance, this study explores how VAs influence family ecotourism behavior throughout the tourism customer journey, from decision-making to ecotourism loyalty. The conceptual model introduces the novel concept of family ecotourism engagement, which is tested as a mediator of the relationship between family ecotourism satisfaction and loyalty. For the data, 205 parents who traveled with children to Romanian ecotourism destinations completed online surveys in a three-stage data collection process, pre-, in-, and post-visit. Partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were combined in a mixed-methods approach. A key symmetric finding is that VA-driven family ecotourism engagement is likely to mediate the relationship between family ecotourism satisfaction and loyalty. This finding extends research on ecotourism behavior. Asymmetric findings reveal that VA expectations are the most important predictor of family ecotourism loyalty. The study provides practical insights for potential partnerships between key stakeholders to design VAs tailored to ecotourism destinations.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100833"},"PeriodicalIF":15.5,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333302","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}
Research links ambidexterity and innovation. However, the impact of the relationship between ambidextrous innovation and resilience relative to ambidexterity outcomes in the developing world remains atheoretical. Accordingly, this study introduces an ambidextrous innovation–resilience–ambidexterity interface to investigate 300 developing world SMEs. From this phenomenon–theory interface, equation, and regression modelling, we deduce theories to articulate the tenuous relationship between ambidextrous innovation strategies (IT [information technology] and learning capabilities) and resilience relative to ambidexterity outcomes for these SMEs. Juxtaposed against the ambidexterity–resilience link found in mainstream research, we show how the interplay of these ambidextrous innovation strategies with resilience weakens ambidexterity outcomes in a developing world setting, where essential entrepreneurship resources are too limited to meet SMEs’ needs. This study is original because it suggests that ambidextrous behavior may not always yield positive outcomes in a developing world setting, which has implications for research, policymaking, and SME practice.
{"title":"Ambidexterity–resilience nexus and innovation: A focus on SMEs in a developing world setting","authors":"Amon Simba , Mahdi Tajeddin , Patient Rambe , Felix Abrah Baah","doi":"10.1016/j.jik.2025.100856","DOIUrl":"10.1016/j.jik.2025.100856","url":null,"abstract":"<div><div>Research links ambidexterity and innovation. However, the impact of the relationship between ambidextrous innovation and resilience relative to ambidexterity outcomes in the developing world remains atheoretical. Accordingly, this study introduces an ambidextrous innovation–resilience–ambidexterity interface to investigate 300 developing world SMEs. From this phenomenon–theory interface, equation, and regression modelling, we deduce theories to articulate the tenuous relationship between ambidextrous innovation strategies (IT [information technology] and learning capabilities) and resilience relative to ambidexterity outcomes for these SMEs. Juxtaposed against the ambidexterity–resilience link found in mainstream research, we show how the interplay of these ambidextrous innovation strategies with resilience weakens ambidexterity outcomes in a developing world setting, where essential entrepreneurship resources are too limited to meet SMEs’ needs. This study is original because it suggests that ambidextrous behavior may not always yield positive outcomes in a developing world setting, which has implications for research, policymaking, and SME practice.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100856"},"PeriodicalIF":15.5,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333301","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 : 2025-10-13DOI: 10.1016/j.jik.2025.100842
Princess Woy , Katherine A. Whalen , Sara Renström , Sara Fallahi
Open innovation, especially through processes that support remote collaboration such as gamification, has the potential to support multi-stakeholder collaboration for circular innovation. This study explores how companies want to collaborate for circular innovation, specifically with end-users. We identify how gamification can support companies and end-users in open circular innovation processes. We use a research-through-design approach and offer a game concept for remote digital co-design in the context of circular innovation to elicit company responses to such a game. We collect data from interviews with 15 company representatives. The results reveal a tension: Although previous research stresses the importance of involving end-users in circular innovation, some companies are skeptical. Companies prefer to extract insights from end-users and collect feedback on ideas generated by the companies themselves. However, the companies appear eager to engage with other companies in open circular innovation. The study contributes to circular economy literature by mapping co-design and circular co-design processes to theoretically ground the latter within co-design literature. It also identifies challenges related to open circular innovation, especially in the integration of end-users. From a practical standpoint, we offer insights on how to approach and structure collaborative efforts for designers and innovation managers aiming to transition toward circular business models in their organizations.
{"title":"Who gets a turn? Exploring multi-stakeholder collaboration in circular innovation and the role of gamification","authors":"Princess Woy , Katherine A. Whalen , Sara Renström , Sara Fallahi","doi":"10.1016/j.jik.2025.100842","DOIUrl":"10.1016/j.jik.2025.100842","url":null,"abstract":"<div><div>Open innovation, especially through processes that support remote collaboration such as gamification, has the potential to support multi-stakeholder collaboration for circular innovation. This study explores how companies want to collaborate for circular innovation, specifically with end-users. We identify how gamification can support companies and end-users in open circular innovation processes. We use a research-through-design approach and offer a game concept for remote digital co-design in the context of circular innovation to elicit company responses to such a game. We collect data from interviews with 15 company representatives. The results reveal a tension: Although previous research stresses the importance of involving end-users in circular innovation, some companies are skeptical. Companies prefer to extract insights from end-users and collect feedback on ideas generated by the companies themselves. However, the companies appear eager to engage with other companies in open circular innovation. The study contributes to circular economy literature by mapping co-design and circular co-design processes to theoretically ground the latter within co-design literature. It also identifies challenges related to open circular innovation, especially in the integration of end-users. From a practical standpoint, we offer insights on how to approach and structure collaborative efforts for designers and innovation managers aiming to transition toward circular business models in their organizations.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100842"},"PeriodicalIF":15.5,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311749","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 impact of environmental sustainability on the performance of Peruvian micro-, small, and medium-sized enterprises (MSMEs) under mediation by digital transformation and innovation. The study is based on partial least squares structural equation modeling (PLS-SEM) with questionnaire data from a sample of 345 Peruvian MSMEs. Digital transformation directly improved performance and promoted innovation. Environmental sustainability acted as a technology pull factor, encouraging digital transformation and innovation. Innovation had the most significant direct effect on performance. Theoretically, the study extends capability alignment theory to a developing-country context. Empirically, it demonstrates that environmental sustainability primarily influences performance indirectly via digital transformation and innovation, a rarely explored pathway in the context of Latin America. The study also offers region-specific evidence on the magnitude of these mediated relationships. From a managerial perspective, the results highlight the importance of incorporating environmental sustainability objectives into digital transformation and innovation strategies. Policy implications include the need to design policies that combine support for environmental compliance with funding for digitalization and innovation training. The limitations of the study highlight the value of performing longitudinal, segmented, and multi-country replication studies across Latin America.
{"title":"Linking environmental sustainability, digital transformation, and innovation: Evidence from micro-enterprises and SMEs","authors":"González-Cruz Tomás , Clemente-Almendros José-Antonio , Castillo-Martínez Julennys-Carolina , Díaz-Peláez Alejandro","doi":"10.1016/j.jik.2025.100849","DOIUrl":"10.1016/j.jik.2025.100849","url":null,"abstract":"<div><div>This study explores the impact of environmental sustainability on the performance of Peruvian micro-, small, and medium-sized enterprises (MSMEs) under mediation by digital transformation and innovation. The study is based on partial least squares structural equation modeling (PLS-SEM) with questionnaire data from a sample of 345 Peruvian MSMEs. Digital transformation directly improved performance and promoted innovation. Environmental sustainability acted as a technology pull factor, encouraging digital transformation and innovation. Innovation had the most significant direct effect on performance. Theoretically, the study extends capability alignment theory to a developing-country context. Empirically, it demonstrates that environmental sustainability primarily influences performance indirectly via digital transformation and innovation, a rarely explored pathway in the context of Latin America. The study also offers region-specific evidence on the magnitude of these mediated relationships. From a managerial perspective, the results highlight the importance of incorporating environmental sustainability objectives into digital transformation and innovation strategies. Policy implications include the need to design policies that combine support for environmental compliance with funding for digitalization and innovation training. The limitations of the study highlight the value of performing longitudinal, segmented, and multi-country replication studies across Latin America.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100849"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145333114","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 : 2025-10-11DOI: 10.1016/j.jik.2025.100850
Simona Cătălina Ștefan , Ion Popa , Andreea Breazu
Artificial intelligence (AI) has revolutionized the way modern organizations operate, defining the transition from traditional industries to digital industries in which production systems can communicate, self-monitor, and collaborate autonomously. This study proposes a new framework for the AI entrepreneurship ecosystem that emphasizes the relationships, significance, and necessity of the factors shaping this field. Adopting a multifaceted approach that integrates several analyses—partial least squares structural equation modeling, importance-performance analysis, necessary conditions analysis, and artificial neural networks—this study identifies five predictors of AI entrepreneurship intention: entrepreneurial ecosystem, social influence, openness, performance expectancy, and market changes. Using 765 responses collected through a questionnaire from potential AI entrepreneurs, the findings show that the entrepreneurial ecosystem and social influence directly influence AI entrepreneurial intention, while the other factors act as mediators or moderators. The results indicate that managerial interventions should prioritize the entrepreneurial ecosystem and social influence, which are highly important but relatively underperforming. Moreover, although openness and performance expectancy are not primary drivers of AI entrepreneurial intention, they represent necessary conditions. This study makes an original contribution by examining the entrepreneurial ecosystem in the context of AI, as well as entrepreneurial intentions to adopt AI when starting a business.
{"title":"A new framework for the artificial intelligence entrepreneurship ecosystem","authors":"Simona Cătălina Ștefan , Ion Popa , Andreea Breazu","doi":"10.1016/j.jik.2025.100850","DOIUrl":"10.1016/j.jik.2025.100850","url":null,"abstract":"<div><div>Artificial intelligence (AI) has revolutionized the way modern organizations operate, defining the transition from traditional industries to digital industries in which production systems can communicate, self-monitor, and collaborate autonomously. This study proposes a new framework for the AI entrepreneurship ecosystem that emphasizes the relationships, significance, and necessity of the factors shaping this field. Adopting a multifaceted approach that integrates several analyses—partial least squares structural equation modeling, importance-performance analysis, necessary conditions analysis, and artificial neural networks—this study identifies five predictors of AI entrepreneurship intention: entrepreneurial ecosystem, social influence, openness, performance expectancy, and market changes. Using 765 responses collected through a questionnaire from potential AI entrepreneurs, the findings show that the entrepreneurial ecosystem and social influence directly influence AI entrepreneurial intention, while the other factors act as mediators or moderators. The results indicate that managerial interventions should prioritize the entrepreneurial ecosystem and social influence, which are highly important but relatively underperforming. Moreover, although openness and performance expectancy are not primary drivers of AI entrepreneurial intention, they represent necessary conditions. This study makes an original contribution by examining the entrepreneurial ecosystem in the context of AI, as well as entrepreneurial intentions to adopt AI when starting a business.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100850"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145311754","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 : 2025-10-11DOI: 10.1016/j.jik.2025.100829
Xiang Yan , Changgao Cheng , Bo Li , Meiling Shang
Building on the HK framework, this study examines the "Solow Paradox" between R&D inputs and carbon emissions (CE) in China. We derive a production growth function with a mismatch coefficient from a multisector equilibrium model and use an extendable environmental impact assessment model to investigate the effects of total factor productivity, output shares, and factor allocation on CE. Our findings reveal the following: (1) R&D element mismatches in China are alleviating, with narrowing provincial disparities; (2) mismatches create a 7.606%-11.745% gap between actual and potential R&D outputs; (3) the R&D "Solow Paradox" results in CE reductions falling 1.696%-3.602% short of ideal, with a potential annual CE reduction increase of 344.899 million tons if corrected; and (4) ineffective substitution of traditional factors and an imbalanced R&D input structure contribute to regional CE change heterogeneity. While technological advancement is crucial, focusing solely on R&D investment quantity and speed is insufficient under resource constraints. Enhancing R&D investment efficiency and quality and correcting structural and spatial mismatches to optimize existing resources represents a more pragmatic path to achieving dual-carbon goals through front-end R&D element configuration.
{"title":"Optimizing R&D governance to enhance carbon emission mitigation: A systemic approach to the \"Solow Paradox\" in China","authors":"Xiang Yan , Changgao Cheng , Bo Li , Meiling Shang","doi":"10.1016/j.jik.2025.100829","DOIUrl":"10.1016/j.jik.2025.100829","url":null,"abstract":"<div><div>Building on the HK framework, this study examines the \"Solow Paradox\" between R&D inputs and carbon emissions (CE) in China. We derive a production growth function with a mismatch coefficient from a multisector equilibrium model and use an extendable environmental impact assessment model to investigate the effects of total factor productivity, output shares, and factor allocation on CE. Our findings reveal the following: (1) R&D element mismatches in China are alleviating, with narrowing provincial disparities; (2) mismatches create a 7.606%-11.745% gap between actual and potential R&D outputs; (3) the R&D \"Solow Paradox\" results in CE reductions falling 1.696%-3.602% short of ideal, with a potential annual CE reduction increase of 344.899 million tons if corrected; and (4) ineffective substitution of traditional factors and an imbalanced R&D input structure contribute to regional CE change heterogeneity. While technological advancement is crucial, focusing solely on R&D investment quantity and speed is insufficient under resource constraints. Enhancing R&D investment efficiency and quality and correcting structural and spatial mismatches to optimize existing resources represents a more pragmatic path to achieving dual-carbon goals through front-end R&D element configuration.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100829"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269548","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 : 2025-10-11DOI: 10.1016/j.jik.2025.100813
Charbel Chedrawi , Gloria Haddad , Abbas Tarhini , Souheir Osta , Nahil Kazoun
Artificial Intelligence (AI) increasingly influences daily life, yet a comprehensive understanding of responsible AI usage, particularly from legal, ethical, and practical perspectives, remains limited. This quantitative study, conducted in Lebanon and grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), employs Structural Equation Modeling (SEM) to examine responsible AI usage. Findings reveal that Responsible AI practices significantly influence technology adoption, demonstrating positive correlations between model variables and users’ behavioral intentions. The study offers both theoretical and practical implications: theoretically, it extends the UTAUT model by integrating the Responsible AI construct, contributing insights into user behavior in emerging markets; practically, it highlights how Responsible AI shapes user engagement. The paper concludes with recommendations for Lebanese organizations to promote ethical AI practices and implement guidelines encouraging responsible adoption.
{"title":"Exploring the impact of responsible AI usage on users’ behavioral intentions","authors":"Charbel Chedrawi , Gloria Haddad , Abbas Tarhini , Souheir Osta , Nahil Kazoun","doi":"10.1016/j.jik.2025.100813","DOIUrl":"10.1016/j.jik.2025.100813","url":null,"abstract":"<div><div>Artificial Intelligence (AI) increasingly influences daily life, yet a comprehensive understanding of responsible AI usage, particularly from legal, ethical, and practical perspectives, remains limited. This quantitative study, conducted in Lebanon and grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), employs Structural Equation Modeling (SEM) to examine responsible AI usage. Findings reveal that Responsible AI practices significantly influence technology adoption, demonstrating positive correlations between model variables and users’ behavioral intentions. The study offers both theoretical and practical implications: theoretically, it extends the UTAUT model by integrating the Responsible AI construct, contributing insights into user behavior in emerging markets; practically, it highlights how Responsible AI shapes user engagement. The paper concludes with recommendations for Lebanese organizations to promote ethical AI practices and implement guidelines encouraging responsible adoption.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 6","pages":"Article 100813"},"PeriodicalIF":15.5,"publicationDate":"2025-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269549","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}
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