Journal of Innovation & Knowledge最新文献

{"title":"The implications of digital transformation and environmental innovation for sustainability","authors":"Oana Pricopoaia ,&nbsp;Nicoleta Cristache ,&nbsp;Adrian Lupașc ,&nbsp;Dorin Iancu","doi":"10.1016/j.jik.2025.100713","DOIUrl":"10.1016/j.jik.2025.100713","url":null,"abstract":"<div><div>The interconnected phenomena of digital transformation and environmental innovation exert a major impact on sustainability. This research attempts to shed light on the sustainability implications of digital transformation and environmental innovation. Both digital transformation and environmental innovation offer multiple opportunities to address global challenges such as climate change, resource depletion, and social inequality. This study highlights the need to integrate digital technologies and innovation with environmental initiatives. By following this approach, the sustainability implications of digital transformation and environmental innovation can lead to a more resilient and sustainable society. Fuzzy-set qualitative comparative analysis (fsQCA) is used to determine the necessary or sufficient factors to increase sustainability. The study thus provides insights into what the environmental priorities should be. The results show how to reduce environmental impacts, improve quality of life, and support economic development. They can also be used to inform policies that support sustainability initiatives by encouraging the combinations of interventions that work best. By harnessing the potential of digital transformation and environmental innovation, it is possible to build a greener and more prosperous future for generations to come.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100713"},"PeriodicalIF":15.6,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143876751","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":"Brand strategy in the metaverse: Insights from companies venturing into virtual environments","authors":"Francesco Di Paolo,&nbsp;Michele Di Dalmazi,&nbsp;Lucio Lamberti","doi":"10.1016/j.jik.2025.100710","DOIUrl":"10.1016/j.jik.2025.100710","url":null,"abstract":"<div><div>The “metaverse”—envisaged as an expansive, fully interoperable network of 3D virtual worlds—remains a distant prospect with a certain degree of conceptual and technological ambiguity. Nevertheless, an increasing number of firms are investigating the potential of the metaverse as a platform for brand engagement and sales opportunities. This study examines how 16 large international corporations spanning various industries integrate the metaverse into their branding strategies. The multiple case study identified four approaches to metaverse integration, with varying degrees of success and strategic alignment. The findings contribute to the emerging literature on metaverse marketing, offering insight into brand engagement, strategic alignment, and organizational learning processes. From a managerial perspective, this study serves as a guide for leveraging the metaverse for branding. It emphasizes the importance of balancing exploration and exploitation to drive successful initiatives. The implications and limitations of the study are discussed, along with suggestions for future research.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100710"},"PeriodicalIF":15.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873614","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":"The impact of emotional exhaustion on the performance of SMEs","authors":"Cintya Lanchimba ,&nbsp;Dianne H.B. Welsh ,&nbsp;Carlos Valladares","doi":"10.1016/j.jik.2025.100708","DOIUrl":"10.1016/j.jik.2025.100708","url":null,"abstract":"<div><div>This study examines the impact of emotional exhaustion on business performance, with a particular focus on small and medium-sized enterprises (SMEs). To achieve this objective, data were collected from business owners in the developing economy of Ecuador. The research specifically explores how the effects of emotional exhaustion vary according to the gender of the business owners and investigates the role of social support in family businesses as a psychological protective factor that may help mitigate the negative consequences of emotional exhaustion. The methodology is based on quantile regression, which facilitates the analysis of the effects of emotional exhaustion across various quantiles of the conditional distribution of business performance. The results reveal that emotional exhaustion has a negative and statistically significant effect on business performance, with businesses led by men showing more pronounced effects. However, family businesses experience a mitigating effect because their organizational structure provides social support that helps counterbalance the detrimental impact of emotional exhaustion. The results underscore the need to consider both the gender of entrepreneurs and the structural characteristics of businesses when designing strategies to improve business performance and resilience. The study provides valuable insights into academic research and business practice, with practical recommendations grounded in the relevant academic literature.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100708"},"PeriodicalIF":15.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868434","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":"A data-driven deep learning approach incorporating investor sentiment and government interventions to predict post-crash stock return in China's A-share market","authors":"Weiran Lin ,&nbsp;Haijing Yu ,&nbsp;Liugen Wang","doi":"10.1016/j.jik.2025.100704","DOIUrl":"10.1016/j.jik.2025.100704","url":null,"abstract":"<div><div>Global financial markets frequently experience extreme volatility, which poses significant challenges in forecasting stock returns, particularly following market crashes. Traditional models often falter under these conditions due to heightened investor sentiment and strong regulatory interventions. Predicting individual stock returns after a crash is especially challenging in China's A-share market, which is characterized by high volatility and active government involvement. Although deep learning has advanced stock return forecasting, most studies have focused on general market conditions or relied solely on sentiments extracted from texts, leaving firm-level government intervention metrics largely unaddressed. To bridge this gap, we propose a novel deep learning framework that leverages historical post-crash data (\"distant relative data\") to forecast future stock returns. Unlike conventional methods that rely on recent pre-crash data—often overlooking government interventions—our approach leverages post-crash data, where investor sentiment and regulatory responses are already reflected, to model stable relationships between financial and momentum factors and subsequent returns, thereby implicitly integrating the effects of government interventions on investor behavior. We validate our framework using data from four distinct \"thousand-stock limit-down\" events in China's A-share market from 2018 to 2023. For the Fully Connected Neural Network (FCNN) model, training with close neighbor data yielded average F1-scores of 0.219 (2019), 0.106 (2020), and 0.282 (2022), whereas using distant relative data improved these to 0.571 (2019), 0.311 (2020), and 0.412 (2022). Notably, incorporating two distant relative datasets further boosted the FCNN F1-scores to 0.627 and 0.533 for 2020 and 2022, respectively. Additionally, Long Short-Term Memory (LSTM) networks consistently outperform FCNN models, underscoring their advantages in capturing temporal dependencies. Overall, our findings indicate that leveraging multiple historical crisis data sets significantly enhances post-crash stock return predictions. This data-driven approach, analogous to the stand-alone application of SMOTE for data balancing, offers a robust framework that can be integrated with other post-crisis models, thereby providing promising directions for future research and practical implementation.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100704"},"PeriodicalIF":15.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859084","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":"Overcoming obstacles to innovation: Can an educated workforce help?","authors":"Benoit Dostie ,&nbsp;Lene Kromann ,&nbsp;Anders Sørensen","doi":"10.1016/j.jik.2025.100707","DOIUrl":"10.1016/j.jik.2025.100707","url":null,"abstract":"<div><div>Firms face many obstacles in their pursuit of innovation. However, the mechanisms that enable firms to surmount these challenges and foster innovation are less understood. This study thus investigates whether the better performance of firms with higher human capital is due to their increased ability to overcome obstacles to innovation. Our estimation strategy accounts for the fact that facing obstacles is endogenous by correcting for the sample selection bias that is involved in determining which firms face obstacles. It appropriately estimates the impact of firms’ skill intensity on their propensity to innovate under two sets of circumstances—facing obstacles or not. Using a combination of rich survey and register data from over 2000 Danish firms for the period of 2006 to 2018, we also address several other biases that could affect our estimation of the impact of skill intensity on overcoming obstacles. Our results provide strong evidence that firms facing challenges in their innovation process are more likely to succeed when they have higher skill intensity. This applies to large and small firms as well as to firms in the service and manufacturing sectors, and it applies regardless of the type of innovation and, to some extent, which obstacles they face. Interestingly, we find that increasing skill intensity has no impact on the likelihood of innovation for firms that do not face obstacles. In contrast, firms that face obstacles can increase their likelihood of innovation by up to 25 %-points through higher skill intensity.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100707"},"PeriodicalIF":15.6,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864825","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":"Digital literacy, digital accessibility, human capital, and entrepreneurial resilience: a case for dynamic business ecosystems","authors":"Khodor Shatila ,&nbsp;Alba Yela Aránega ,&nbsp;Lebene Richmond Soga ,&nbsp;Ana Beatriz Hernández-Lara","doi":"10.1016/j.jik.2025.100709","DOIUrl":"10.1016/j.jik.2025.100709","url":null,"abstract":"<div><div>This study examines the role of digital literacy, digital accessibility, and human capital in fostering entrepreneurial resilience among entrepreneurs in Qatar and the United Arab Emirates (UAE). These countries serve as exemplary models in digital transformation, particularly in navigating crises such as the COVID-19 pandemic. Grounded in the resource-based view and the theory of dynamic capabilities, this research investigates how these factors contribute to entrepreneurial resilience. This study employs structural equation modeling to analyze survey data from 317 individuals with entrepreneurial experience. According to the findings, digital literacy, accessibility, and human capital significantly enhance innovation, strengthening entrepreneurial resilience. Agility is identified as a key moderator, amplifying the positive impact of these competencies on resilience. Although the success of entrepreneurial ecosystems has often been attributed to entrepreneurial actors, resource providers, connectors, or entrepreneurial intentions, this study underscores the importance of fostering digital competencies and agility to build resilient entrepreneurial ecosystems. It offers policymakers and business leaders insights into the mechanisms that enhance resilience in dynamic and crisis-affected environments where the digital landscape is rapidly evolving.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100709"},"PeriodicalIF":15.6,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848569","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":"Navigating the digital shift: Working conditions and employee health in digital social care","authors":"Eva Gnugesser ,&nbsp;Marlies Jöllenbeck ,&nbsp;Wiebke Schlenger ,&nbsp;Elke Ochsmann","doi":"10.1016/j.jik.2025.100706","DOIUrl":"10.1016/j.jik.2025.100706","url":null,"abstract":"<div><div>The COVID-19 pandemic accelerated the adoption of online counselling in social care, a development that may permanently alter professional practices. However, the full extent of its utilisation, associated occupational risks, and impacts on health remain underexplored. This study investigates the effects of digitisation on the traditionally face-to-face profession of counselling. We conducted a cross-sectional web survey involving 1049 German counsellors to examine the prevalence of online counselling, remote work, and their associations with occupational risks and health outcomes such as musculoskeletal symptoms, cognitive fatigue, and sleep disorders. Our analysis utilised Kruskal-Wallis tests and multiple regression. Findings reveal that only 9.5 % of participants belonged to the high user group, yet high online usage was associated with more favourable working conditions, including lower emotional burden (<em>p</em> = 0.01), and reduced cognitive fatigue (<em>b</em> = 0.22, <em>p</em> &lt; 0.001) and sleep disorders (<em>b</em> = 0.17, <em>p</em> = 0.004) compared to medium users. Engaging in remote work more than once a week was linked to lower cognitive fatigue compared to doing so up to once a week (<em>b</em> = 0.10, <em>p</em> = 0.03). No correlation was observed between musculoskeletal symptoms and the frequency of online counselling or remote work. These results indicate that online counselling could enhance working conditions, although initial increases in cognitive fatigue may occur as counsellors adapt. The findings underscore the need for continued efforts to improve digital working conditions in social care.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100706"},"PeriodicalIF":15.6,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845113","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":"Digital transformation of commercial banks with innovative credit structure","authors":"Jingwen Yang ,&nbsp;Xiaohui Chen","doi":"10.1016/j.jik.2025.100703","DOIUrl":"10.1016/j.jik.2025.100703","url":null,"abstract":"<div><div>Digital transformation is widely acknowledged as a pivotal factor in reducing banks’ marginal costs and enhancing the efficiency of credit risk management. Concurrently, it allows banks greater flexibility to adapt to shifts in market conditions, thereby optimizing adjustments to credit scale and structure. Despite these recognized benefits, the extant literature has yet to comprehensively analyze the specific mechanisms through which digital transformation impacts banks’ credit operations. This study addresses this research gap by examining how digital transformation dynamically affects the supply of bank credit, with the objective of offering valuable insights to bank management and policymakers. This study utilizes panel data from commercial banks and employs a nonlinear difference-in-differences (DID) approach to analyze the mechanisms and determinants of how digital transformation affects the credit supply scale and structure. The findings indicate that while digital transformation via policy guarantees does not significantly alter the overall credit scale, it significantly influences the credit structure, encouraging banks to enhance credit provision to small and micro-enterprises (SMEs). These findings are robust to various tests. This study reveals that the digital transformation mechanism introduces novel data elements for policy guarantees, facilitates the digitalization of banking operations, reduces costs, and improves risk management, thereby steering the credit structure toward SMEs. The impact of digital transformation is not uniform across banks; differences in management and information-screening capabilities lead to heterogeneous effects on credit structures. Notably, the impact of policy-guaranteed digital transformation on credit structure is more pronounced in non-local commercial banks with regional operations. To validate these conclusions, this study examines 2061 loan records from 42 banks, confirming that digital transformation effectively redirects commercial banks’ credit supply towards enterprises and the real economy. This research offers theoretical insights for refining policy guarantee frameworks, accelerating the digital transformation of commercial banks, and bolstering their credit support for SMEs.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100703"},"PeriodicalIF":15.6,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845114","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":"Transforming threats into opportunities: The role of human factors in enhancing cybersecurity","authors":"Silvia Colabianchi ,&nbsp;Francesco Costantino ,&nbsp;Fabio Nonino ,&nbsp;Giulia Palombi","doi":"10.1016/j.jik.2025.100695","DOIUrl":"10.1016/j.jik.2025.100695","url":null,"abstract":"<div><div>In today's fast-paced digital landscape, the importance of human factors in cybersecurity has become increasingly evident yet is often overlooked. This research employs the Delphi method to achieve expert consensus on the managerial actions that enhance cybersecurity by leveraging human factors. The study offers 16 key managerial actions, highlighting the shift from viewing humans as sources of vulnerability to acknowledging them as essential components of cybersecurity solutions. The findings suggest developing an organizational culture that values cybersecurity, delineating clear roles and responsibilities, and fostering continuous learning. This approach emphasizes the importance for organizations to recalibrate their cybersecurity strategies and provides a roadmap for implementing the suggested managerial actions. The study contributes to the socio-technical debate with a particular focus on human factors and provides practical guidance for organizations to improve their future cybersecurity posture.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100695"},"PeriodicalIF":15.6,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143845112","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 integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence","authors":"Meenu Chaudhary ,&nbsp;Loveleen Gaur ,&nbsp;Amlan Chakrabarti ,&nbsp;Gurmeet Singh ,&nbsp;Paul Jones ,&nbsp;Sascha Kraus","doi":"10.1016/j.jik.2025.100700","DOIUrl":"10.1016/j.jik.2025.100700","url":null,"abstract":"<div><div>Recent studies focus on machine learning (ML) algorithms for predicting employee churn (ECn) to save probable economic loss, technology leakage, and customer and knowledge transference. However, can human resource professionals rely on algorithms for prediction? Can they decide when the process of prediction is not known? Due to the lack of interpretability, ML models' exclusive nature and growing intricacy make it challenging for field experts to comprehend these multifaceted black boxes. To address the concern of interpretability, trust and transparency of black-box predictions, this study explores the application of explainable artificial intelligence (XAI) in identifying the factors that escalate the ECn, analysing the negative impact on productivity, employee morale and financial stability. We propose a predictive model that compares the best two top-performing algorithms based on the performance metrics. Thereafter, we suggest applying an explainable artificial intelligence based on Shapley values, i.e., the Shapley Additive exPlanations approach (SHAP), to identify and compare the feature importance of top-performing algorithms logistic regression and random forest analysis on our dataset. The interpretability of the predictive outcome unboxes the predictions, enhancing trust and facilitating retention strategies.</div></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":"10 3","pages":"Article 100700"},"PeriodicalIF":15.6,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834077","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}