Journal of Digital Economy最新文献

{"title":"Application of digital technologies in nature-based tourism: A scientometric analysis","authors":"Diana Teresa Parra-Sanchez,&nbsp;Paula Andrea Viviescas-Jaimes","doi":"10.1016/j.jdec.2025.05.003","DOIUrl":"10.1016/j.jdec.2025.05.003","url":null,"abstract":"<div><div>This study explores the application of digital technologies in nature-based tourism through a scientometric Analysis. Drawing on publication data from 1999 to 2025 retrieved from Scopus, the research follows a two-phase Methodology: an initial mapping of the literature followed by a scientometric analysis using co-citation and burst detection techniques to identify influential works, key research areas, and emerging trends. The results reveal a diverse knowledge landscape structured around four major clusters: Ecotourism, Big Data, Digital Tools, and Blockchain. Although immersive technologies such as augmented and virtual reality dominate much of the academic discourse, artificial intelligence remains underrepresented in this context, revealing a gap in the literature. This study offers a comprehensive overview of how digital technologies influence nature-based tourism and provides strategic insights for researchers, practitioners, and policymakers seeking to promote more inclusive, sustainable, and digitally adaptive tourism development.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 249-259"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Information governance — A missing dimension in the varieties of capitalism framework illustrated using the case of information governance in China","authors":"Theresa Krause ,&nbsp;Mo Chen ,&nbsp;Doris Fischer","doi":"10.1016/j.jdec.2024.08.001","DOIUrl":"10.1016/j.jdec.2024.08.001","url":null,"abstract":"<div><div>Since the introduction of the Varieties of Capitalism (VoC) framework in 2001, the global economy has undergone fundamental changes due to the emergence of new capitalist economies as well as businesses' increasing reliance on information and digitalization. This paper proposes adapting the VoC framework to these changes by adding information governance as a new dimension in the evaluation of political economies. To the authors’ knowledge, this is the first study linking these two different sets of literatures. On this theoretical basis, the paper outlines information governance’s features and illustrates its manifestation using China as an exemplary case. Finally, a research agenda to substantiate these findings is outlined. Thereby, the paper contributes to the academic discourse on VoC, i.e., the evaluation and comparison of political economies. Furthermore, it provides insights for business practitioners in China in the field of information governance.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 75-84"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rural revitalization driven by digital infrastructure: Mechanisms and empirical verification","authors":"Juan Liu,&nbsp;Feng Li","doi":"10.1016/j.jdec.2025.01.002","DOIUrl":"10.1016/j.jdec.2025.01.002","url":null,"abstract":"<div><div>Rural revitalization is a critical concern for the country's long-term sustainable development and modernization efforts. The advent of digital infrastructure and its development have infused new energy into rural revitalization initiatives. This study leverages panel data from 283 cities over the period from 2008 to 2021, aiming to explore the impact of digital infrastructure on rural revitalization and to understand the underlying mechanisms of this relationship. The findings robustly suggest that digital infrastructure significantly fosters rural revitalization efforts. This conclusion holds firm even after addressing issues related to endogeneity. Mechanism analysis reveals that digital infrastructure enhances rural revitalization through several avenues, including the advancement of digital government initiatives, the development of digital finance, and the accumulation of digital talents. Furthermore, heterogeneity analysis indicates that the positive impact of digital infrastructure on rural revitalization is more pronounced in non-first-tier cities and those with a smaller agricultural labor force. Interestingly, the effectiveness of digital infrastructure in fostering rural revitalization does not vary with the degree of regional marketization. These findings have important policy implications for the government to popularize the construction of rural digital infrastructure, fully tap the potential of digital technology in rural revitalization, and accelerate the promotion of rural revitalization.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 103-116"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A quantitative approach to foreign market selection for digital platform companies","authors":"Devrim Yurdaanik Eskiyerli ,&nbsp;Xavier Aldape Perez","doi":"10.1016/j.jdec.2025.04.001","DOIUrl":"10.1016/j.jdec.2025.04.001","url":null,"abstract":"<div><div>Digital technologies have transformed the global economy, allowing small businesses to compete on a more level playing field. The rise of cloud computing and digital platforms has enabled businesses to scale more quickly and efficiently. Recent studies on international marketing strategies have increasingly considered the impact of technology and platform-based business models. Digital platforms provide competitive advantages using functionalities such as customer support, engineering, and data management, leading to accelerated growth and internationalization. Earlier studies have focused on digital platform companies in multi-sided business-to-customer (B2C) markets, but studies on foreign market entry of digital platform companies in business-to-business (B2B) markets remain limited. Our research fills this gap by identifying the foreign market selection strategy for a Northern European B2B digital platform company offering a digital parcel-tracking platform. Using a mixed-methods approach comprising country portfolio analysis and the Analytic Hierarchy Process (AHP), we systematically prioritized foreign markets and found that strategic flexibility, robust digital infrastructure, and strong network relationships are crucial for successful international operations. This study provides a comprehensive framework for B2B digital platform companies, contributing both theoretical and practical insights.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 158-175"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Standard alliance network position and digital innovation: Empirical evidence from the ICT industry in China","authors":"Haihua Wang,&nbsp;Li Liu,&nbsp;Shujie Li,&nbsp;Mengfan Lv","doi":"10.1016/j.jdec.2025.01.001","DOIUrl":"10.1016/j.jdec.2025.01.001","url":null,"abstract":"<div><div>This study focuses on the relationship between standard alliance network position and digital innovation, and discusses the individual and joint moderating effects of network diversity and media attention. An empirical analysis is conducted by using data of all enterprises in the Chinese ICT industry standard alliance network from 2015 to 2021. We have discovered several important conclusions through our study. Firstly, standard alliance network position significantly promotes enterprises’ digital innovation. Secondly, network diversity positively moderates the impact of standard alliance network position on digital innovation. Thirdly, media attention has an inverted U-shaped effect on the relationship between network position and digital innovation. The analysis of the three-way interaction effect suggests that the different configurations of standard alliance network position, network diversity and media attention will have a different impact on digital innovation. Thus, to promote digital innovation, enterprises should actively establish extensive connections with network members and strive to occupy a central position. At the same time, enterprises need to pay attention to the partnership with diverse subjects and media, and rationally allocate internal resources to enhance digital innovation and reduce potential risks and reputational pressure.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 117-131"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697475","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging threats in digital payment and financial crime: A bibliometric review","authors":"Vishnu Laxman ,&nbsp;Nithyashree Ramesh ,&nbsp;Senthil Kumar Jaya Prakash ,&nbsp;Ravi Aluvala","doi":"10.1016/j.jdec.2025.04.002","DOIUrl":"10.1016/j.jdec.2025.04.002","url":null,"abstract":"<div><div>This study investigates the academic research trends related to digital payment fraud, financial crime, and online payment fraud utilizing a comprehensive approach that includes co-occurrence network analysis, author collaboration networks, and theme mapping. The study employs bibliometric analysis utilizing the Scopus dataset as a source of data to identify key themes, developing patterns, influential academics, researchers, and organizations, highly referenced publications, unexplored cluster areas, and research deficiencies in the area of digital payment frauds. The R programming tool and VOS viewer software tools were used to analyse the results. The results encompassed growth rate, source of publications, and the relationship between authors in the domain of research that was retrieved. The keyword trends, frequency of occurrence, and citation analysis are presented to capture the current research trends in financial crime, digital payment fraud, and online payment fraud. The four major themes that emerged were fraud risk in e-commerce, innovative learning systems for fraud detection and fraud prevention, behavior intention and fraud risk management in the digital banking sector, and finally, information security and fraud prevention. The study observed that most research focused on digital signatures, credit card fraud, blockchain technology, artificial intelligence, and so on. The study has some limitations as it uses the Scopus database and articles in English, ignoring publications in Chinese, French, and Spanish. Also, it is not possible to look into each relevant author and article. The subjective nature of bibliometric analysis also poses limitations. The managerial level can use the knowledge gained from these studies to measure risk, invest in technologies that prevent fraud, and carry out awareness and training campaigns. Financial institutions can adopt techniques and technologies that comply with existing rules and laws to mitigate fraudulent digital payment practices. This enhances payment security, leading to customer satisfaction and retention.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 205-222"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143888183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing financial inclusion with explainable machine learning: Evidence from an emerging economy","authors":"Leya Li ,&nbsp;Qian Liu","doi":"10.1016/j.jdec.2025.05.004","DOIUrl":"10.1016/j.jdec.2025.05.004","url":null,"abstract":"<div><div>This study aims to investigate the importance of factors that influence financial inclusion in emerging markets, using China as a case study. To accomplish this objective, the study collected datasets from China, encompassing macroeconomic and microeconomic factors spanning from 2014 to 2020. The authors employed various machine learning models, giving particular attention to the XGBoost model for SHapley Additive exPlanations (SHAP) feature importance explanation. The findings of the study reveal that four primary factors hold greater importance in achieving financial inclusion: urban-rural status, household income, internet coverage, and financial development. Urbanization, higher income, increased internet coverage, and enhanced financial development are likely to facilitate financial inclusion. Furthermore, financial exclusion groups are more likely to be affected by the features above. Lastly, the study identifies observed interaction effects between urbanization and other factors. Heterogeneity analyses underscore the pronounced urban-rural divide in financial inclusion and reveal region-specific vulnerabilities in Southwest China. These findings can be utilized to improve financial inclusion in emerging markets, enabling cost savings through the identification of key factors.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 275-287"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unpacking the psychological mechanisms of service robot adoption for lonely customers","authors":"Min Yan ,&nbsp;Qionglei Yu ,&nbsp;Zhibin Lin ,&nbsp;Yu Ye","doi":"10.1016/j.jdec.2025.05.002","DOIUrl":"10.1016/j.jdec.2025.05.002","url":null,"abstract":"<div><div>This research attempts to bridge the fields of service robotics and loneliness studies, exploring the relationship between customers’ psychological state and technology use. Drawing upon the Evolutionary Theory of Loneliness, we propose lonely customers have a strong service robot use intention, with need for interaction serving as a mediator and information overload as a moderator. A questionnaire survey of 354 UK-based respondents was conducted to test our hypotheses. Results indicate that loneliness positively affects service robot use intention, both directly and indirectly through a reduced need for interaction. Information overload weakens the negative relationship between need for interaction and service robot use intention. Findings offer insights for service providers in designing and implementing robotic services, suggesting a balanced approach that considers customers' psychological states and varying needs for interaction.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 288-298"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital technologies","authors":"Hongjun Li,&nbsp;Qinglingzi Li,&nbsp;Zhihao Xu,&nbsp;Xinyi Ye","doi":"10.1016/j.jdec.2025.02.001","DOIUrl":"10.1016/j.jdec.2025.02.001","url":null,"abstract":"<div><div>This paper introduces digital technologies and their economic properties. Specifically, it summarizes the main technological and economic characteristics of key digital technologies, including the Internet of Things (IoT), Artificial Intelligence (AI), Blockchains, Cloud Computing, and Data Analytics—collectively referred to as IABCD or the “digital technology” framework for short. A main technological characteristic is the interconnectedness of digital technologies to unleash their potential. The economic properties of IABCD primarily include cost reduction, network effects, economies of scope, innovation facilitation, resource sharing, and others.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 240-248"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143932226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing digitalization and transformation: A network analysis with future research directions","authors":"Ruiyang Xu,&nbsp;He Liu","doi":"10.1016/j.jdec.2025.03.003","DOIUrl":"10.1016/j.jdec.2025.03.003","url":null,"abstract":"<div><div>The rapid proliferation of digitalization technologies has spurred transformative changes across global business landscapes, prompting scholarly exploration of its multifaceted implications. This study systematically reviews 6294 core documents from leading journals in Business, Economics, and Management to trace the evolutionary trajectory of digitalization research in the 21st century. Employing network analysis methods, we identify the distribution of digital research fields, influential journals and institutions, milestone documents, and the evolution of research themes. The results indicate that recent research on the development of digitization technologies has shifted focus from Big Data Analysis, Cloud Computing, and Blockchain to Artificial Intelligence. Digital research in business has shifted focus from applying digitization technologies in corporations to transforming these corporations digitally, and eventually to digitalization entire industries. Building on these insights, we propose a future research agenda centered on three emerging frontiers: Direct Marketing, Artificial Intelligence and Digital Transformation, supplementing the existing theoretical framework of research and contributing to future research directions.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 176-204"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}