Journal of Innovation & Knowledge最新文献

{"title":"Optimal bank credit financing and cost-reducing knowledge for a supplier under different channel structures","authors":"Jing Xia ,&nbsp;Yujie Xiao ,&nbsp;Ling Yao ,&nbsp;Chuanxin Xia","doi":"10.1016/j.jik.2025.100741","DOIUrl":"10.1016/j.jik.2025.100741","url":null,"abstract":"<div><div>This study examines a supply chain consisting of a capital-constrained supplier and a retailer. The supplier sells wholesale products to consumers through the retailer and may also sell directly to consumers via an online channel. Given that the supplier’s initial working capital may be insufficient to cover production, investment, or online channel expenses, they have the option to borrow funds from a bank—a practice referred to as bank credit financing (BCF). We develop models with and without direct selling and BCF to analyze the supplier’s optimal decisions regarding cost-reducing investments and the BCF policy. Our findings indicate that, in the absence of direct selling, the supplier’s optimal BCF decision depends on its initial working capital and the investment cost factor. Notably, BCF can enable the supplier to shift from forgoing cost-reducing investments to actively engaging in them when the initial working capital falls within a certain range. Furthermore, under the direct selling model, the supplier’s optimal decision is influenced by a combination of factors, including its initial working capital, investment cost factor, and direct selling cost.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100741"},"PeriodicalIF":15.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223623","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}

{"title":"Augmented reality marketing in family ecotourism: Cognitive and behavioral drivers of destination branding","authors":"Iulian Adrian Sorcaru ,&nbsp;Adrian Micu ,&nbsp;Gianita Bleoju ,&nbsp;Angela-Eliza Micu ,&nbsp;George Bogdan Dragan ,&nbsp;Mihaela-Carmen Muntean ,&nbsp;Mark Anthony Camilleri","doi":"10.1016/j.jik.2025.100742","DOIUrl":"10.1016/j.jik.2025.100742","url":null,"abstract":"<div><div>Most ecotourism destinations have not yet fully explored the benefits of augmented reality (AR) marketing in relation to family vacations. Although AR improves travel experiences and destination branding, there is limited research on parents’ perceptions of AR when traveling with children. This study combines the unified theory of acceptance and use of technology (UTAUT) with the concept of sustainability education to investigate how parents’ perceptions of AR technology shape visit behavior and destination branding, improve family vacations, and strengthen ecotourism sustainability. A mixed methods approach was applied, combining partial least structural equation modeling (PLS-SEM) with fuzzy-set qualitative comparative analysis (fsQCA). An online survey questionnaire (distributed via the Prolific platform) was completed by 181 parents who visited Romanian ecotourism destinations with their children and had previous AR experience. The PLS-SEM results indicate that facilitating conditions, performance expectancy, social influence, and sustainability education have significant effects on parents’ intentions to use AR technology. Furthermore, these intentions significantly influence destination visit behavior and AR branding. The fsQCA results show that sustainability education is the sole necessary condition for AR technology to influence families’ ecotourism experiences, possibly enhancing destination branding. The findings provide new theoretical and practical implications for ecotourism stakeholders interested in using AR to enhance their branding for families traveling with children.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100742"},"PeriodicalIF":15.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212250","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}

{"title":"Relationships between green technological innovation, renewable energy, circular economy, and green growth","authors":"Afef BOUATTOUR ,&nbsp;Sarra GHARBI ,&nbsp;Maha KALAI ,&nbsp;Kamel HELALI","doi":"10.1016/j.jik.2025.100748","DOIUrl":"10.1016/j.jik.2025.100748","url":null,"abstract":"<div><div>This study employs the panel smooth threshold autoregression model to data spanning 27 European Union (EU) member states from 2000 to 2022 to investigate the nonlinear relationships between green growth and green technological innovation. This approach enables our examination of the dynamics of economies’ rise from weakness to strength. This investigation introduces a comprehensive framework that combines green technological innovation, renewable energy sources, and the circular economy into a single green growth model. The results confirm two optimal thresholds that impact how green technological innovation affects green growth, distinguishing between the three regimes. Additionally, the results demonstrate the positive influence of green technological innovation on green growth. In contrast, the study reveals a weaker effect with increasing levels of green technological innovation transitions from intermediate (Regime 2) to high (Regime 3) green growth. Furthermore, insufficient green technological innovation has not developed effective renewable energy technologies that can foster green growth. Conversely, renewable energy begins to positively affect green growth when EU countries increase green technological innovation investment. Finally, a robust regime of green technological innovation facilitates circularity and promotes EU economies’ green growth, indicating that the influence of the circular economy on green growth depends on increased green technological innovation. Practically, policymakers in EU economies should focus on sustainable innovation to promote green growth and advance the United Nations Sustainable Development Goals.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100748"},"PeriodicalIF":15.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144223622","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}

{"title":"Advancing agricultural economic growth through technology innovation and structural transformation: A multilevel analysis","authors":"Chenggang Li ,&nbsp;Cong Luo ,&nbsp;Hongye Jia ,&nbsp;Mu Yue ,&nbsp;Liang Wu","doi":"10.1016/j.jik.2025.100743","DOIUrl":"10.1016/j.jik.2025.100743","url":null,"abstract":"<div><div>The agricultural economy plays an irreplaceable and crucial role in ensuring national food security, promoting stable economic growth, and fostering harmonious social development. Agricultural technology innovation (ATI) and rural industrial structure transformation (RIST) are key drivers of agricultural economic growth (AEG). Although previous studies have largely focused on the individual impacts of ATI and RIST on AEG, research on the specific pathways linking these factors is limited. This study utilizes panel data from 30 Chinese provinces from 2009 to 2022 and employs a multilayer structural equation model to systematically examine the relationships among ATI, RIST, and AEG at both national and regional levels. In addition, it provides an in-depth analysis of the internal connections among specific variables. The findings indicate that, at the national level, ATI plays a crucial role in significantly advancing both the transformation and upgrading of rural industrial structures and AEG. However, the direct impact of RIST and upgrading on AEG is not clearly evident. The regional-level analysis reveals that ATI has a significant positive effect on AEG and promotes the optimization of rural industrial structures. In addition, upgrading rural industrial structures significantly enhance AEG. This study’s methodology offers both theoretical and empirical support for promoting agricultural economic development through ATI and RIST upgrading. The findings provide valuable insights for policymakers, enabling them to better align agricultural policies with key innovation directions and structural improvements, ultimately fostering sustainable agricultural development. Furthermore, the conclusions serve as a decision-making reference for agricultural enterprises and practitioners, guiding them to adapt to industrial structural adjustments, leverage technological advancements, and enhance agricultural production efficiency and economic benefits.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100743"},"PeriodicalIF":15.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212275","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}

{"title":"Comparative analysis of blockchain adoption in the public and private sectors. A technology-organization-environment (TOE) framework approach","authors":"Melisa Petra Benchis,&nbsp;Khuram Shahzad,&nbsp;Sorin Dan","doi":"10.1016/j.jik.2025.100746","DOIUrl":"10.1016/j.jik.2025.100746","url":null,"abstract":"<div><div>Blockchain technology (BT) can potentially enhance transparency, efficiency, and trust across all domains. However, it remains unclear how the relative adoption of BT between the private and public sectors compares in light of existing studies. This article contributes to the literature by evaluating the adoption process through the technology, organizational, and environmental dimensions of the TOE framework. A comparative research design was employed through 21 semi-structured interviews with participants from the public and private sectors in Finland. The results indicate that challenges to adoption uniformly exist between both sectors in the form of regulatory concerns and misconceptions regarding energy matters, as well as incentives that are directly linked to the sector. The private sector is incentivized to adopt BT for scalability, efficiency, and responsiveness to market demand in light of competitive advantage. The public sector is motivated to adopt BT through transparency and regulatory concerns, although a willingness to accommodate legacy systems in the short term exists so that public services and activities are not interrupted. In addition, our findings highlight the important role of public institutions in BT adoption. Ultimately, both sectors require strong visionary leadership and training to overcome knowledge deficiencies and proof-of-concept studies to reduce uncertainty and reliance on external applications and partnerships. This article contributes to the literature by comparatively highlighting the similarities and differences in this phenomenon. It offers practical and policy-related implications and encourages an industry-specific approach to adoption, cross-industry innovations, and regulatory policies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100746"},"PeriodicalIF":15.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212425","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}

{"title":"Generative AI for decision-making: A multidisciplinary perspective","authors":"Mousa Albashrawi","doi":"10.1016/j.jik.2025.100751","DOIUrl":"10.1016/j.jik.2025.100751","url":null,"abstract":"<div><div>Generative artificial intelligence (GenAI) is rapidly reshaping decision-making across multiple domains, including health, law, business, education, and tourism. This study synthesizes the fragmented research on GenAI to provide a comprehensive framework for understanding its role in enhancing decision-making accuracy, efficiency, and personalization. Employing a systematic literature review and thematic analysis, this study categorizes diverse applications, from clinical diagnostics and legal reasoning to financial advisement and educational support, highlighting both innovative practices and persistent challenges. The analysis of 101 articles reveals that, while GenAI significantly improves data processing and decision support, mitigating issues such as inherent bias, misinformation, and transparency deficits requires careful attention. The integration of multi-agent frameworks and human oversight is critical for ensuring ethical and reliable outcomes. Ultimately, this synthesis highlights the transformative potential of GenAI as a decision-making tool by presenting a cross-disciplinary framework that reveals its impact and uncovers gaps across various domains. The study also advocates the development of robust regulatory and technological strategies to harness the benefits and address the limitations of GenAI.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100751"},"PeriodicalIF":15.6,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203417","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}

{"title":"An innovative supply chain solution for information management in cyber resilience: Blockchain technology","authors":"Ava Hajian ,&nbsp;Saba Rezaeinejad ,&nbsp;Kiarash Rayman ,&nbsp;Sajad Khorsandroo","doi":"10.1016/j.jik.2025.100744","DOIUrl":"10.1016/j.jik.2025.100744","url":null,"abstract":"<div><div>Blockchain is an innovative solution for many supply chain (SC) issues. This study presents empirical and theoretical evidence to address the following research question: <em>How can blockchain impact the information flow in SCs to enhance cyber resilience</em>? The practice-based view provides theoretical support for the presented model. This study presents a conceptual model that includes hypothesized relationships. Empirical data are collected via a vignette-based, between-subject experimental design study. Blockchain-based SCs can improve sales and operations planning (S&amp;OP) by allowing firms to align plans and processes to achieve cyber resilience during cyber disruptions. This study offers empirical evidence that blockchain contributes to transparency by giving SC decision makers access to high-quality data during cyber disruptions, which can lead to improved cyber resilience performance. The contribution of this study is twofold. First, this research explains the impact of blockchain on the information flow of the SC to create cyber resilience through two mediating variables: transparency and S&amp;OP. Second, this study provides empirical evidence, including a detailed experimental methodology, to explore the role of blockchain in SC information management, particularly in enhancing transparency and cyber resilience.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100744"},"PeriodicalIF":15.6,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203550","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}

{"title":"Deeper knowledge of entrepreneurs in decision-making. Innovating through neuroentrepreneurship","authors":"Juan Camilo Serna Zuluaga ,&nbsp;David Juárez-Varón ,&nbsp;Ana Mengual-Recuerda ,&nbsp;Vincenzo Corvello","doi":"10.1016/j.jik.2025.100739","DOIUrl":"10.1016/j.jik.2025.100739","url":null,"abstract":"<div><div>The objective of this study is to obtain deeper knowledge during the decision-making process in the business field, establishing the emotional and cognitive differences between novice and experienced entrepreneurs. This work looks at how emotional responses vary in key situations, such as personnel hiring, salary remuneration, and the definition of financial and distribution strategies, through the innovative discipline of neuroentrepreneurship. To carry out this study, neuro-technologies were used to perform a neuro-qualitative study using galvanic skin response (GSR) and electroencephalogram (EEG) to evaluate brain performance metrics such as emotional intensity, stress, and engagement, in two groups of entrepreneurs with different levels of experience. The responses were analyzed based on specific questions that covered different aspects of entrepreneurship, allowing a detailed comparison between both groups. The results revealed significant differences in emotional and cognitive responses between novice and experienced entrepreneurs. Novice entrepreneurs showed greater emotional intensity in planning and distribution topics, while experienced entrepreneurs exhibited higher levels of stress in critical aspects such as remuneration and layoffs. However, experienced entrepreneurs also demonstrated a greater capacity for relaxation in areas where they had consolidated experience, highlighting the influence of experience in emotional management. This study provides an innovative vision of the field of entrepreneurship, by combining neuro-technologies to analyze emotional and cognitive responses in business contexts. The use of GSR and EEG provides a deep understanding of how experience influences decision-making and stress management, offering a basis for developing specific support and training programs for entrepreneurs at different stages of business evolution. These findings open new opportunities for future research that explore the impact of additional factors and develop effective interventions to improve the performance and well-being of entrepreneurs.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100739"},"PeriodicalIF":15.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144167784","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}

{"title":"Multi-path adjustment in digital transformation and enhancement of enterprise competitiveness","authors":"Hanwei Li,&nbsp;Yang Yu,&nbsp;Fang Liu,&nbsp;Bing Zhou","doi":"10.1016/j.jik.2025.100735","DOIUrl":"10.1016/j.jik.2025.100735","url":null,"abstract":"<div><div>Against the macro background of the digital economy reshaping global value chains, this study empirically examines Chinese A-share listed companies as research samples and finds that digital transformation can significantly enhance enterprise competitiveness. This conclusion remains robust in robustness checks such as Propensity Score Matching (PSM) and instrumental variable methods. Furthermore, four digital transformation pathways are proposed: cultural leadership (CLP), talent development (TDP), capital-driven transformation (CDP), and process optimization (POP). Innovatively adopting Agent-Based Modeling and Simulation (ABMS), a complex adaptive system comprising 200 agents is constructed. Simulation results indicate that the combination of TDP and CDP performs best among all individual and two-policy combinations. In addition, the combination of CLP and CDP exhibits a high effect on enhancing enterprise competitiveness with relatively low-efficiency loss, making it another preferable policy combination for enterprises. This study provides new theoretical paradigms and practical pathways for enterprises to advance digital transformation, offering significant insights into building competitive advantages in the digital economy era.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100735"},"PeriodicalIF":15.6,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144155068","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}

{"title":"Assessing entrepreneurial ecosystems' influence on green technology innovation: A cross-country analysis","authors":"Mohsen Khezri","doi":"10.1016/j.jik.2025.100738","DOIUrl":"10.1016/j.jik.2025.100738","url":null,"abstract":"<div><div>This study explores the impacts of 11 diverse entrepreneurship indicators on green technology innovation (GTI) to determine the optimal environmental regulatory framework that fosters green entrepreneurship. Additionally, the study investigates the impacts of environmental regulations on GTI by utilizing nonlinear panel smooth threshold regression (PSTR) models on data collected from 18 countries from 2002 to 2020. By identifying a critical regulatory threshold of 1.89, the research reveals how varying levels of environmental regulations significantly influence GTI dynamics. The estimation results emphasize that GDP per capita and financial development are critical in fostering GTI. However, stringent environmental regulations can counteract these positive effects. Urbanization and trade openness also positively influence GTI, with environmental regulations complementing their impacts. The transition to a service-oriented industrial structure positively affects GTI. The results underscore the negative impact of entrepreneurship indicators, potentially diverting resources away from GTI. Nonetheless, environmental regulations with stringent enforcement mechanisms can counterbalance the negative impacts of specific entrepreneurship metrics. Among the entrepreneurship indicators analyzed, financing for entrepreneurs, governmental support and policies, and governmental programs exhibit an inverted U-shaped impact pattern, peaking at specific levels of environmental regulation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 4","pages":"Article 100738"},"PeriodicalIF":15.6,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144155045","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}