{"title":"Manufacturing Workers or Platform Gig Workers? The Impact of Digital Transformation in Manufacturing and Service Sectors on Job Quality and Labor Allocation","authors":"Xuan Liu , Qing Guo , Shanshan Li","doi":"10.1016/j.jdec.2025.06.003","DOIUrl":"10.1016/j.jdec.2025.06.003","url":null,"abstract":"<div><div>This paper addresses an important research gap by examining how digital transformation in the manufacturing and service sectors affects job quality and labor allocation across industries. Using micro-level data from the China Labor-force Dynamic Survey (CLDS) and firm-level data from the China Employer-Employee Matching Survey (CEEMS), we employ multinomial probit model, ordered probit model, and instrumental variable method to analyze the effects of sectoral digital transformation on employment outcomes, wages, job autonomy, and satisfaction. Our results reveal that manufacturing digital transformation, centered on automation and the Industrial Internet of Things (IIoT), requires high investment but generates slow returns, ultimately failing to improve job quality and contributing to declining manufacturing employment and labor shortages. In contrast, digital transformation in the service sector, driven by digital platforms and rapid channel upgrades, yields faster returns, raises wages, improves job autonomy and satisfaction, and promotes the expansion of platform gig work. These findings are robust across multiple specifications and offer new empirical insights into how differences in digitalization stages and operational models shape labor dynamics. Our study contributes to the literature by providing a comparative, cross-sectoral analysis using both worker-side and firm-side data, highlighting the mechanisms behind inter-industry labor shifts. The results have important implications for policymakers seeking to address labor shortages in manufacturing, improve job quality, and design balanced digitalization strategies.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"4 ","pages":"Pages 72-94"},"PeriodicalIF":0.0,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587549","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":"An ‘EDGES’ framework for navigating MNE strategy in a fragmented world: A systematic literature review on anti-globalization and deglobalization","authors":"Xinwei Shi , Haiyan Qian , Wenwei Chen","doi":"10.1016/j.jdec.2025.05.006","DOIUrl":"10.1016/j.jdec.2025.05.006","url":null,"abstract":"<div><div>Multinational enterprises (MNEs) are navigating a new landscape due to disruptions in global supply chains and escalating geopolitical tensions in various regions. These challenges arose from a worldwide pandemic, along with the emergence of new digital technologies (e.g., AI, 5G) and the growing importance of data as a key production factor. This research systematically examines the historical causes of anti-globalization and deglobalization through a comprehensive and critical review of relevant literature. Our findings indicate that anti-globalization initially spread among developing countries before appearing in developed countries, while the trend towards deglobalization has consistently intensified. We introduce the ‘EDGES’ framework, which encompasses Economic Systems, Digital Disruptions, Geopolitical Fracture, Environmental Sustainability, and Socio-Cultural Ideology. This framework captures the crucial challenges that MNEs currently face and will face prospectively, assisting in the establishment of a dynamic strategic response mechanism (i.e., from passive compliance for minimizing risks, defensive adaptation for maintaining competitive positioning, to an integrated approach for reshaping the global landscape). This article provides valuable theoretical insights and practical managerial implications for MNEs navigating the complexities of the digital economy era.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"4 ","pages":"Pages 29-51"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489437","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":"Committed random double blinded coalition-proofed sampling","authors":"Shengzhe Meng , Jintai Ding","doi":"10.1016/j.jdec.2025.05.007","DOIUrl":"10.1016/j.jdec.2025.05.007","url":null,"abstract":"<div><div>The digital economy, including data trading, auditing, and trust, is an essential and rapidly growing field. A secure and committed data sampling process is necessary for those processes. We introduce a novel committed random double-blind sampling methodology for data auditing and transactions, which utilizes cryptography and blockchain technologies. This approach ensures that the sampler only has access to the sampled data. The sampling method we propose is also double-blind, meaning that neither the sampler nor the data owner can independently determine the positions of the sampled data. Instead, they are jointly decided by both parties. Additionally, the method permits the data sampler to detect if the data owner has intentionally chosen high-quality data or provided data extraneous to the data set. This innovative methodology guarantees that the data sampling process is both trustworthy and traceable. We supply a security analysis and offer solutions for various scenarios, such as multi-file and three-party sampling. We also present a sampling process designed to prevent collusion when sampling occurs among three parties.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"4 ","pages":"Pages 16-28"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314341","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":"Customer e-satisfaction as a mediator between e-service quality, brand image, and e-loyalty: Insights from Ethiopian digital banking technology","authors":"Sintayehu Ermias Lolemo, Hemal B. Pandya","doi":"10.1016/j.jdec.2025.05.005","DOIUrl":"10.1016/j.jdec.2025.05.005","url":null,"abstract":"<div><div>This study investigates the mediating role of customer e-satisfaction in the relationships between e-service quality, brand image, and e-loyalty within Ethiopia's digital banking sector, with a specific focus on the Commercial Bank of Ethiopia. Using a quantitative research design, data were gathered through self-administered surveys and analyzed using structural equation modeling (SEM). To mitigate potential bias, the common latent factor (CLF) approach was used. The results demonstrate that e-service quality significantly enhances e-loyalty, with customer e-satisfaction serving as a crucial mediator. Additionally, brand image exerts both a direct positive effect on e-loyalty and an indirect influence through customer e-satisfaction. By extending the cognitive-affect-conation pattern model to the digital banking context, this study offers valuable theoretical and practical contributions for banks aiming to strengthen customer e-loyalty in a competitive digital landscape.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"4 ","pages":"Pages 1-15"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144243468","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":"Research on the impact and mechanism of China's digital infrastructure construction on air pollution","authors":"Shaojie Zhou , Chenyao Qu","doi":"10.1016/j.jdec.2025.05.008","DOIUrl":"10.1016/j.jdec.2025.05.008","url":null,"abstract":"<div><div>Reducing air pollution is a major goal of digital infrastructure construction, which is the embodiment of the “new infrastructure construction” strategy in the era of smart economy. This paper systematically summarizes the mechanism by which digital infrastructure construction affects air pollution and empirically analyzes the impact of digital infrastructure construction on air pollution based on Chinese provincial panel data from 2011 to 2023. The study finds that the digital infrastructure construction can exert a significant inhibitory effect on air pollution. The analysis of the moderating effect indicates that environmental policies and regulations positively moderate the relationship between digital infrastructure construction and air pollution. The mechanism analysis shows that digital infrastructure reduces air pollution by promoting technological innovation and driving industrial upgrading. The heterogeneous analysis indicates that the emission reduction effect of digital platform construction is more significant. Meanwhile, the construction of digital infrastructure in central and western regions, resource-based regions, and regions with high environmental regulation intensity has a stronger inhibitory effect on air pollution. Further analysis shows that the construction of digital infrastructure not only improves local air quality, but also has a significant mitigating effect on air pollution in neighboring areas. Meanwhile, digital talents reinforce this spatial impact. Finally, according to the research conclusions, the corresponding policy suggestions are put forward.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"4 ","pages":"Pages 52-71"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587548","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":"Factors influencing digital platform firms internationalization: A review and research agenda","authors":"Irene Achieng Ochieng","doi":"10.1016/j.jdec.2025.04.003","DOIUrl":"10.1016/j.jdec.2025.04.003","url":null,"abstract":"<div><div>Over the years, digital platforms have been a focus for international business scholars, especially those who see them as bringing nuances not seen in other firm types. Extensive reviews focusing on the internationalization of digital platforms are very few. There is no comprehensive review focusing on the factors influencing the internationalization of digital platforms. This paper critically reviews studies on the internationalization of digital platforms to identify factors affecting their internationalization. It also aims to identify research gaps and prepare future research agendas. A systematic literature review method guided by the TCCM approach was used for this review. The findings indicate that the category (proactive or reactive) of digital platforms, the ecosystem they belong to, and the region of operation are a starting point to determine the factors that influence internationalization. Secondly, the business model and, subsequently, the type of digital platform firm are crucial in understanding the internationalization dynamics of the firms. Thirdly, there are several under-explored research areas that provide potential for theory development and extension.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 223-239"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895199","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}
Shuang Tian, Ashutosh Sharma, Lin Wu, Kulwant S. Pawar
{"title":"A systematic literature review on the digital platform and its role in the circular economy: State-of-the-art and future research directions","authors":"Shuang Tian, Ashutosh Sharma, Lin Wu, Kulwant S. Pawar","doi":"10.1016/j.jdec.2024.12.001","DOIUrl":"10.1016/j.jdec.2024.12.001","url":null,"abstract":"<div><div>A digital platform is an extensible codebase built on programmable systems that facilitates interoperation between software systems through a shared module and an interactive interface (Tiwana et al., 2010). Although digital platforms, enabled and supported by information technologies, have seen increasing applications across various sectors over the past decade—particularly during the COVID-19 pandemic—their potential to facilitate and support the transition to a circular economy remains unclear. Accordingly, this research aims to address this critical gap by systematically reviewing the literature on digital platforms and the circular economy from 2010 to 2020 and presenting directions for future research. Our findings reveal that digital platforms have been extensively utilised across ten industries: the sharing economy, social media, labour, healthcare, third-party payment, crowdfunding, lending, e-commerce, tourism, and food. Given the diversity of these sectors, the literature exhibits distinct characteristics and trends. Overall, digital platforms contribute to achieving circular economy objectives by reducing, redistributing, and reutilising waste through enhanced information exchange, improved efficiency and effectiveness in supply network operations, and greater co-innovation.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 132-145"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715790","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":"Impact of Musk's remarks on volatility of Bitcoin and Dogecoin amid COVID-19 pandemic","authors":"Thakur Dev Pandey","doi":"10.1016/j.jdec.2024.12.002","DOIUrl":"10.1016/j.jdec.2024.12.002","url":null,"abstract":"","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 85-102"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162914","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":"Internet infrastructure, digital development and urban energy efficiency","authors":"Feifei Xu , Geng Peng","doi":"10.1016/j.jdec.2024.11.001","DOIUrl":"10.1016/j.jdec.2024.11.001","url":null,"abstract":"<div><div>China exhibits suboptimal energy efficiency levels in comparison to developed countries, while the advancement of internet infrastructure might lead to a notable enhancement in energy efficiency. We take the implementation of China's broadband pilot policy (BCPP) as an exogenous policy shock and use a difference-in-differences (DID) model to investigate how BCPP affects urban energy efficiency and underlying mechanisms. We find that in the pilot regions, the BCPP significantly improves urban energy efficiency. After employing instrumental variable methods to mitigate endogeneity issues, the results remain robust. The further mechanism analysis indicates that the implementation of BCPP improves energy efficiency through the digital elements dividends (i.e., digital talents, digital capital, and digital technology) induced by internet development. Additionally, the heterogeneity results unveil that BCPP has a more significant promotion effect on energy efficiency in cities on the right side of the Hu Huanyong line and in cities with high administrative levels and a smaller share of secondary industry output. However, the policy effect of BCPP on urban energy efficiency is less significant in resource-based cities and old industrial-based cities. These findings provide some policy implications for the coordinated development of “digital-energy” and a scientific basis for accelerating the transformation of energy structure.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 62-74"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143162912","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}
Yue Xiao , Buhong Liu , Carmine Ventre , Haochen Li
{"title":"A measure of climate change in financial news and its impact on the stock market","authors":"Yue Xiao , Buhong Liu , Carmine Ventre , Haochen Li","doi":"10.1016/j.jdec.2025.03.002","DOIUrl":"10.1016/j.jdec.2025.03.002","url":null,"abstract":"<div><div>As a fast-evolving form of sustainable investing, Environmental, Social, and Governance (ESG) strategies have attracted more and more investments. One of the central questions in this context is whether and to what extent climate change is ‘priced in’ by the market. In this paper, we give contributions that help answer this question and offer implications for market participants and policymakers. Firstly, we extract the climate dimension of financial news by introducing a measure to quantify it. Secondly, we perform a causality analysis of the linear and non-linear relationship between this quantified information and market data on over 3,000 stocks. Our empirical results show a causal relationship between the market and the climate information extracted from our representation learning methods. We also notice that the strength of this relationship decreases over time, indicating that the climate dimension contained in the news articles is quickly reflected in the market but its effects are gradually decreasing.</div></div>","PeriodicalId":100773,"journal":{"name":"Journal of Digital Economy","volume":"3 ","pages":"Pages 146-157"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143799959","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}