Journal of Digital Economy最新文献

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A quantitative approach to foreign market selection for digital platform companies 数字平台公司国外市场选择的定量方法
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.04.001
Devrim Yurdaanik Eskiyerli , Xavier Aldape Perez
{"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}
引用次数: 0
Standard alliance network position and digital innovation: Empirical evidence from the ICT industry in China 标准联盟网络地位与数字创新:来自中国ICT产业的经验证据
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.01.001
Haihua Wang, Li Liu, Shujie Li, Mengfan Lv
{"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}
引用次数: 0
Emerging threats in digital payment and financial crime: A bibliometric review 数字支付和金融犯罪的新威胁:文献计量学回顾
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.04.002
Vishnu Laxman , Nithyashree Ramesh , Senthil Kumar Jaya Prakash , Ravi Aluvala
{"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}
引用次数: 0
Digital technologies 数字技术
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.02.001
Hongjun Li, Qinglingzi Li, Zhihao Xu, Xinyi Ye
{"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}
引用次数: 0
Advancing digitalization and transformation: A network analysis with future research directions 推进数字化与转型:网络分析与未来研究方向
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.03.003
Ruiyang Xu, He Liu
{"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}
引用次数: 0
New entrepreneurial strategies using the new technologies of artificial intelligence and NFT in the field of the music industry 在音乐产业领域使用人工智能和NFT新技术的新创业策略
Journal of Digital Economy Pub Date : 2024-12-01 DOI: 10.1016/j.jdec.2025.05.001
Marianna Vanessa Buoni Pineda
{"title":"New entrepreneurial strategies using the new technologies of artificial intelligence and NFT in the field of the music industry","authors":"Marianna Vanessa Buoni Pineda","doi":"10.1016/j.jdec.2025.05.001","DOIUrl":"10.1016/j.jdec.2025.05.001","url":null,"abstract":"<div><div>This research examines the changes and effects of digital transfer in creative industries on the music market strategies for digital entrepreneurship. This study uses the transfer of digital technology, such as non-fungible tokens (NFTs) and Artificial intelligence (AI), by entrepreneurial producers and suppliers to illustrate how new technologies transform market dynamics through audience personalisation and decentralised business models. In addition to addressing how these new technologies open up opportunities, this paper provides industry stakeholders with practical strategies to negotiate challenges successfully. These changes change market access and generate entrepreneurial ideas by increasing the strategies' efficiency. At the same time, the results of this research show how the new business models presented in the new decentralised markets lead to the democratisation of the market and, thus, to the increase of entrepreneurship and the cultivation of new ideas.</div><div>This study uses a questionnaire of music projects presented as NFT, the researcher's experiences participating in NFT projects, and a questionnaire conducted by the researcher with project agents. For this purpose, this research has used the 217 responses it received as statistical data from the questionnaire. This research examines identifying the results of using new technologies and their relationship with the theories of digital entrepreneurship strategy. It answers how using entrepreneurial strategies to apply new technologies, especially artificial intelligence and NFTs, creates new opportunities in entrepreneurship.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 260-274"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212093","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}
引用次数: 0
Does digital economy promote regional green innovation? An empirical study based on the transmission effect and threshold effect of marketization 数字经济能否促进区域绿色创新?基于市场化传导效应和门槛效应的实证研究
Journal of Digital Economy Pub Date : 2024-07-29 DOI: 10.1016/j.jdec.2024.07.002
Xu Dong , Kejia Guo , Xiaomeng Zhao
{"title":"Does digital economy promote regional green innovation? An empirical study based on the transmission effect and threshold effect of marketization","authors":"Xu Dong ,&nbsp;Kejia Guo ,&nbsp;Xiaomeng Zhao","doi":"10.1016/j.jdec.2024.07.002","DOIUrl":"10.1016/j.jdec.2024.07.002","url":null,"abstract":"<div><p>Exploring the green innovation effect of the digital economy under the condition of socialist market economy with Chinese characteristics is of great contemporary value. In this paper, we incorporate digital economy development, marketization and green innovation into a unified analytical framework. Based on the theoretical analysis of the intrinsic logical relationship among the three, a panel data of 31 provinces in mainland China from 2011 to 2021 is employed to empirically test the effect and mechanism of digital economy development on green innovation under the condition of marketization. The results show that digital economy development is effective in improving the level of regional green innovation; Marketization is an important transmission mechanism for digital economy to release the effectiveness of green innovation. Besides, marketization has a significant double threshold effect on green innovation driven by digital economy. To promote the synergistic development of China's digital economy, market-oriented reform and green innovation in the future, we should focus on promoting the construction of an “enterprise-public-government” community for digital economy and improving the mechanism of market-oriented green innovation.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 47-61"},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067024000220/pdfft?md5=6d07d8ec8dc1ab6ce9e53f104848685c&pid=1-s2.0-S2773067024000220-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952033","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}
引用次数: 0
From screen to reality: How AR drives consumer engagement and purchase intention 从屏幕到现实:AR 如何促进消费者参与和购买意向
Journal of Digital Economy Pub Date : 2024-07-24 DOI: 10.1016/j.jdec.2024.07.001
Jingyi Yang, Zhibin Lin
{"title":"From screen to reality: How AR drives consumer engagement and purchase intention","authors":"Jingyi Yang,&nbsp;Zhibin Lin","doi":"10.1016/j.jdec.2024.07.001","DOIUrl":"10.1016/j.jdec.2024.07.001","url":null,"abstract":"<div><p>This study examines the critical role of telepresence in augmented reality (AR) retail, focusing on the key attributes of interactivity and vividness, and their impact on online marketing effectiveness. Through an online survey, the research reveals that a highly interactive and vivid AR shopping platform enhances media usefulness and media enjoyment. Furthermore, AR technology creates a realistic product experience that closely mimics physical shopping, thereby increasing consumer engagement. The results indicate that media usefulness and media enjoyment significantly enhance consumer engagement, subsequently leading to stronger purchase intentions. The study further demonstrates the sequential relationships between AR attributes, media usefulness, media enjoyment, consumer engagement, and purchase intention. This research provides valuable insights into the theoretical foundations of AR's influence on consumer behavior, shedding light on how this technology can be effectively leveraged to enhance online shopping experiences for consumers.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 37-46"},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067024000219/pdfft?md5=dd579bbe311c2b22852fe0db70a0e2f4&pid=1-s2.0-S2773067024000219-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951276","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}
引用次数: 0
Improve the prediction in the digital Era: Causal feature selection with minimum redundancy 在数字时代改进预测:最小冗余的因果特征选择
Journal of Digital Economy Pub Date : 2024-05-15 DOI: 10.1016/j.jdec.2024.05.001
Anton Poletaev , Buhong Liu , Lingbo Li , Vitali Avagyan , Vardan Voskanyan
{"title":"Improve the prediction in the digital Era: Causal feature selection with minimum redundancy","authors":"Anton Poletaev ,&nbsp;Buhong Liu ,&nbsp;Lingbo Li ,&nbsp;Vitali Avagyan ,&nbsp;Vardan Voskanyan","doi":"10.1016/j.jdec.2024.05.001","DOIUrl":"10.1016/j.jdec.2024.05.001","url":null,"abstract":"<div><p>Effective decision-making in complex environments requires discerning the relevant from the irrelevant, a challenge that becomes pronounced with large multivariate time-series data. However, existing feature selection algorithms often suffer from complexity and a lack of interpretability, making it difficult for decision-makers to extract value, manage risks, and adhere to compliance regulations in a thoroughly explainable way. To address these challenges, we propose a novel causality-based feature selection technique that embeds an explainable unsupervised feature selection algorithm. We refer to our proposed method as Causal Feature Selection with Minimum Redundancy (CFSMR). Our method yields a minimum viable feature set without compromising model performance while ensuring interpretability. We conduct an experimental study to compare the proposed technique with conventional feature selection techniques. Our results demonstrate that our proposed method outperforms or performs on par with existing techniques, making it a promising approach for decision-makers seeking an effective and interpretable feature selection method.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 14-36"},"PeriodicalIF":0.0,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067024000086/pdfft?md5=0c92ad6bb37824309edf9b3296dce80d&pid=1-s2.0-S2773067024000086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141050867","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}
引用次数: 0
The impact of digital governance on tourism development 数字治理对旅游业发展的影响
Journal of Digital Economy Pub Date : 2024-05-10 DOI: 10.1016/j.jdec.2024.05.003
Giray Gozgor , Chi Keung Lau , Zhibin Lin , Yan Zeng
{"title":"The impact of digital governance on tourism development","authors":"Giray Gozgor ,&nbsp;Chi Keung Lau ,&nbsp;Zhibin Lin ,&nbsp;Yan Zeng","doi":"10.1016/j.jdec.2024.05.003","DOIUrl":"10.1016/j.jdec.2024.05.003","url":null,"abstract":"<div><p>This paper examines the impact of digital governance on inbound tourism using the panel dataset from 151 countries from 2000 to 2019. Fixed-effects and System Generalised Method of Moments estimations show that the internet shutdown capacity and practice decrease inbound tourism. Social media monitoring with strict rules also hinders inbound tourism. It is found that governance capacity and practical censorship implications negatively affect tourism activities. Several policy implications for the proper control of digital communications are also discussed.</p></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 1-13"},"PeriodicalIF":0.0,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773067024000104/pdfft?md5=1f1cae08366da7e4758479ff8f53fb2f&pid=1-s2.0-S2773067024000104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141029865","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}
引用次数: 0
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