{"title":"Rethinking corporate diversification in emerging markets: How digital transformation reshapes strategies in China","authors":"Jiayi Tao , Xinhe Zhang , Xiaofei Wu , Qin Zhou","doi":"10.1016/j.techsoc.2025.103086","DOIUrl":"10.1016/j.techsoc.2025.103086","url":null,"abstract":"<div><div>This study investigates how digital transformation reshapes corporate diversification strategies in Chinese listed firms, underpinned by dynamic capabilities theory. Our analysis suggests that digital transformation amplifies diversification benefits by mitigating financial constraints and enhancing risk perception. Utilizing a panel dataset of 36,822 firm-year observations from 2008 to 2021, this study applies fixed-effects regression models, instrumental variable techniques, and heterogeneity analyses. Our empirical analysis reveals that digital transformation significantly promotes corporate diversification, an effect that is particularly pronounced in non-SOEs, eastern regions, and the manufacturing sector. We identify two key mechanisms driving this relationship: the mitigation of financial constraints and the enhancement of risk perception. Robustness tests confirm these findings. Additionally, digital transformation mitigates the negative impact of diversification on total factor productivity (TFP). While high economic policy uncertainty suppresses diversification, digital transformation helps offset this effect. These findings advance the strategic management literature by demonstrating how digital transformation helps firms overcome policy uncertainty and diversification challenges, offering policy insights for promoting digital adoption in China's evolving economic landscape.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103086"},"PeriodicalIF":12.5,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222773","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging structural and behavioral models to promote green consumer credit practices in non-banking financial companies","authors":"Vikas Sharma , Ramona Rupeika-Apoga","doi":"10.1016/j.techsoc.2025.103083","DOIUrl":"10.1016/j.techsoc.2025.103083","url":null,"abstract":"<div><div>Despite its growing relevance to sustainability goals, the adoption of green consumer credit remains limited in the non-banking financial sector. This study investigates how non-banking financial companies (NBFCs) can strategically align internal resources and behavioral drivers to explain consumer behavior related to green credit adoption, integrating the resource-based view and the theory of planned behavior. A novel conceptual framework was developed using survey data collected in December 2024 from 347 managers and executives of NBFCs in major Indian cities. Results from partial least squares structural equation modeling, supported by importance–performance map analysis, indicate that financial capital, organizational capabilities, and green technology infrastructure each influence perceived social pressure—a key factor linking institutional readiness with behavioral intention and green credit uptake. These findings emphasize the value of aligning internal strategic resources with behavioral factors to support sustainable finance in the NBFC sector.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103083"},"PeriodicalIF":12.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an integrative model of organizational human-AI collaboration: A semi-systematic review of the current state of the art","authors":"Lilian Tai Do Khac , Michael Leyer","doi":"10.1016/j.techsoc.2025.103064","DOIUrl":"10.1016/j.techsoc.2025.103064","url":null,"abstract":"<div><div>This article emphasizes the role of AI trustworthiness in business operations, aiming to understand which factors must be considered to ensure trust with AI in human-AI collaboration settings. While acknowledging the prevailing emphasis on technical aspects, our research highlights the necessity of a formalized trust model with AI. Through a literature review, we identify foundational principles for designing human-AI systems. Our key contribution lies in proposing a set of sixteen key conceptual elements as testable hypotheses for future studies. These elements are systematically integrated into a unified trust framework, providing a structure to enhance trust in AI systems, thereby fostering more effective human-AI interactions. By clarifying the features of AI that enhance human trust, this framework bridges conceptual gaps in prior literature and provides actionable insights for aligning AI development with organizational and user needs.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103064"},"PeriodicalIF":12.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dual regulatory mechanisms and boundary conditions of digital transformation on open innovation: A supply chain dynamic characteristics perspective","authors":"Qinwei Cao , Yu Qian , LinFeng Zhong , Qiaoyu Meng","doi":"10.1016/j.techsoc.2025.103085","DOIUrl":"10.1016/j.techsoc.2025.103085","url":null,"abstract":"<div><div>Digital transformation is widely recognized as a catalyst for corporate innovation. Existing research exhibits significant theoretical gaps in elucidating the synergistic mechanisms and contextual dependencies between digital transformation and open innovation, particularly in accounting for supply chain dynamics. Moving beyond unilateral effect analyses, this study integrates transaction cost economics and resource dependence theory to develop a novel <em>digital transformation–supply chain characteristics–open innovation</em> framework. Leveraging panel data from Shanghai and Shenzhen A-share listed companies, this paper empirically investigates how digital transformation impacts open innovation and uncovers the dual regulatory roles of supply chain concentration and efficiency. Key findings reveal: (1) Digital transformation significantly enhances open innovation levels through the synergistic reduction of transaction costs and resource dependence constraints, (2) Supply chain concentration weakens the positive impact due to transaction lock-in effects and innovation path dependence, (3) High supply chain efficiency paradoxically suppresses digital innovation dividends by reinforcing resource dependence and organizational inertia. This research contributes a pioneering <em>d</em><em>igital-</em><em>s</em><em>upply chain</em> collaborative innovation paradigm, offering a dynamic characteristics-based explanatory framework for resolving the digital innovation paradox. Our findings provide critical theoretical and practical insights for building resilient innovation ecosystems in the digital economy.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103085"},"PeriodicalIF":12.5,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How would prompt completion editing impact user experience scores in academic research with large language models?","authors":"Gerald Nderitu Njuguna, Min Qingfei","doi":"10.1016/j.techsoc.2025.103080","DOIUrl":"10.1016/j.techsoc.2025.103080","url":null,"abstract":"<div><div>Prompt completion editing (PCE), the user-driven revision of large language model (LLM) completions, is a critical behaviour in the academic applications of multimodal LLMs. However, few studies have examined how these edits function as implicit reinforcement signals to improve LLM alignment and enhance user experience (UX). This study investigates how PCE, conceptualised through the dimensions of language stylistics, personalisation, and labelling, affects UX outcomes, including performance, task management, and user satisfaction. The sample consisted of 294 respondents from China and Kenya. Using a user-centred approach, this study applies partial least squares structural equation modelling for empirical analysis. The results show that PCE significantly improves UX (β = 0.304, t = 3.965, p < 0.001) and acts as a proxy for implicit human feedback in LLM optimisation. Mediation analysis confirms that data management and prompting experience significantly explain the relationships (p < 0.001), whereas simple slope analysis supports the moderation effects of perceived usefulness, task fit, and quality. The findings suggest that user edits serve as fine-grained feedback signals that enhance personalisation and usability in academic contexts. These results inform the design of more flexible and feedback-aware LLM systems, thereby advancing the development of human-in-the-loop artificial intelligence.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103080"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A dual-path driving mechanism study of digital transformation on supply chain adaptation from the asymmetric network power perspective","authors":"Chen Peng , Yunsheng Zhang , Liubin Lai","doi":"10.1016/j.techsoc.2025.103081","DOIUrl":"10.1016/j.techsoc.2025.103081","url":null,"abstract":"<div><div>This study examines how digital transformation reshapes supply chain governance through the natural and social dimensions of technological interdependence. Although previous studies have confirmed that digital transformation enhances supply chain performance by improving internal efficiency and strengthening external network collaboration, they generally overlook both the complex interdependence structure inherent in the underlying technological system and the moderating role of asymmetric power within this structure. Analyzing 564 Chinese high-tech firms (2003–2022), we find: (1) an inverted U-shaped relationship between digital transformation and supply chain adaptability; (2) asymmetric network power helps firms improve technology-organization alignment and reduce governance costs for interdependent relationships, thereby enhancing supply chain adaptability; (3) asymmetric network power 's moderating effect increasingly manifests in reshaping supply chain rules as digital technologies evolve. We posit that digital transformation reshapes supply chain synergy through two pathways: technological sovereignty competition and organizational restructuring, with its effectiveness being contingent upon the structure of technological interdependence. Firms should develop resilient modular architectures, prioritize low-cost scenarios, and promote industry-wide graded interoperability standards with open-source baselines. Governments need frameworks balancing sovereignty governance and open innovation to mitigate technology blockade risks and unlock technological value through coordinated evolution of institutions, standards, and organizations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103081"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reconfiguring Korea’s dual transition: Empirical insights on the role of industry 4.0 technologies","authors":"Yugang He","doi":"10.1016/j.techsoc.2025.103084","DOIUrl":"10.1016/j.techsoc.2025.103084","url":null,"abstract":"<div><div>This study empirically investigates the impact of Industry 4.0 technologies on economic and environmental sustainability in South Korea. Utilizing the autoregressive distributed lag bounds-testing approach alongside Kernel-based regularized least squares-based machine learning techniques, this analysis captures both short- and long-run dynamics between a composite Industry 4.0 index and dual sustainability outcomes—adjusted net saving and per capita CO<sub>2</sub> emissions. The findings reveal that Industry 4.0 technologies significantly enhance long-term economic resilience while simultaneously reducing environmental degradation. Notably, environmental benefits emerge more immediately, whereas economic gains accrue gradually, reflecting asymmetric transition dynamics. These results underscore that Industry 4.0 technologies serve as structural enablers of sustainability, contingent on coordinated policies such as environmental taxation, green R&D, and trade alignment. The Korean case offers compelling evidence that comprehensive digital strategies can deliver both economic and ecological dividends, providing actionable insights for other late-industrializing economies seeking to harmonize innovation with sustainable development trajectories.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103084"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Governance efficiency and upgrade pathways of international generative AI policies and regulations","authors":"Xu Wang, Fang Xie, Binbin Liu","doi":"10.1016/j.techsoc.2025.103082","DOIUrl":"10.1016/j.techsoc.2025.103082","url":null,"abstract":"<div><div>Analyzing the governance efficiency of policies and regulations on generative artificial intelligence (GAI) not only facilitates the advancement of GAI technological innovation and theoretical research but also enhances the precision and efficiency of information governance across nations. First, based on governance theory, institutional theory, resource-based theory, and administrative ecology theory, this paper analyzes the factors influencing the governance efficiency of GAI policies & regulations from three dimensions: government governance, resource endowment, and technology environment. Second, this paper examines the policies and regulations on GAI from 24 countries as samples. Employing the fsQCA and NCA method, along with PMC index evaluation results, this paper explores potential pathways to enhance the governance efficiency of GAI policies and regulations. Third, the configurational pathway analysis of governance efficiency in GAI policies and regulations identifies six critical influencing factors: policy and regulatory quality, government actions, venture capital investment, AI governance capacities, public stakeholder engagement, and AI safety mechanisms. Finally, through necessity analysis, configurational analysis, and robustness testing of these six factors, the paper reveals that technology-resource driven, policy-actor coordinated, and government-resource mediated implementation configurations can effectively achieve high-level governance efficiency in GAI policies and regulations. Therefore, it provides a reference for optimizing the governance practice of GAI policies and regulations.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103082"},"PeriodicalIF":12.5,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep fakes as a tool of political advertising. Can regulatory framework benefit from the “Ship of Theseus” paradox?","authors":"Mateusz Łabuz , Sławomir Soczyński","doi":"10.1016/j.techsoc.2025.103060","DOIUrl":"10.1016/j.techsoc.2025.103060","url":null,"abstract":"<div><div>Deep fakes have been consistently perceived as a threat to social and political processes, particularly elections. A rarely discussed phenomenon, though gaining importance considering the increasing number of real-life use cases, is using deep fakes for political advertising purposes. By manipulating visualizations, artificial intelligence (AI) allows politicians to eliminate or minimize the deficits of their performance and highlight or create features perceived as attractive by the audience. Such manipulations pose a significant epistemic problem, and can severely distort perception of real politicians and their characteristics. These disruptions might correspond to the classic “Ship of Theseus” paradox that addresses the problem of changing identity. The aim of this study is to analyze how this philosophical conundrum could be used for crafting better transparency obligations (disclaimers) for using deep fakes for political advertising purposes. The aim of such disclaimers is to sensitize and protect public opinion against manipulation. However, at the moment the basic labels concentrate on technological dimension of manipulation, overlooking cognitive consequences for human audiences. This paper proposes extensive disclaimers to strengthen their informative and sensitizing potential.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103060"},"PeriodicalIF":12.5,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145160194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of the digital economy on college graduates' return-to-hometown employment: Evidence from China","authors":"Zhidong Feng , Mei Yong","doi":"10.1016/j.techsoc.2025.103056","DOIUrl":"10.1016/j.techsoc.2025.103056","url":null,"abstract":"<div><div>This study leverages push–pull theory and social capital theory and data from four waves (2016–2022) of the China Family Panel Studies to systematically investigate how the digital economy influences the return-to-hometown employment decisions of college graduates. The results offer several insights. First, the digital economy significantly increases the probability that graduates will return to their hometowns for employment, and this positive effect shows a consistent upward trend over the study period. Second, mechanism analysis reveals that the digital economy attracts graduates back home by primarily facilitating industrial upgrading in their hometowns, with this mediating pathway accounting for 45.73 % of the total effect. Third, social trust exerts a differentiated moderating effect: while particularized and generalized trust exert negative moderating effects, institutional trust not only directly encourages return decisions but also significantly amplifies the positive influence of the digital economy. Fourth, the promotional effect of the digital economy is more pronounced among students from central and eastern regions, with highly educated parents, and with bachelor’s degrees or below, as well as among female graduates. Fifth, the digital economy is fostering a structural shift toward entrepreneurship in return-to-hometown employment. Sixth, it significantly improves the settlement stability of returning graduates. Accordingly, this study suggests that accelerating industrial upgrading, enhancing the credibility of local governments, and optimizing the entrepreneurial environment are crucial to maximizing the digital economy’s role in supporting the return and retention of talent.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"84 ","pages":"Article 103056"},"PeriodicalIF":12.5,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}