Technology in Society最新文献

{"title":"Moran process stochastic evolutionary game model for cooperative innovation strategies in green technology","authors":"Xiaoxiao Zhou ,&nbsp;Mengyu Jia ,&nbsp;Andrea Gatto ,&nbsp;Xin Zhao","doi":"10.1016/j.techsoc.2025.103010","DOIUrl":"10.1016/j.techsoc.2025.103010","url":null,"abstract":"<div><div>The innovation paradigm of enterprises in the digital economy era has shifted from closed to cooperative innovation between enterprises and external subjects. Cooperative innovation has increasingly become a crucial strategy for enterprises to improve their technology. This study examines enterprise green technology innovation cooperation through a stochastic evolution game perspective and introduces the digitalization level, green finance, and technological knowledge complementarity. Based on the principle of Moran's process of birth and death, we construct a game model of enterprise green technology cooperative innovation to describe the decision-making interaction mechanism among the main subjects. We calculate fixation and exit times for enterprise green technology innovation cooperation behavior under the weak choice. We discovered that when the synergy benefit is more pronounced than a specific multiplier cost, it helps fix cooperative strategies. As synergy benefit increases, fixation and exit times shorten and prolong, respectively. Compared to low green finance, the probability of the fixation of a separate innovation strategy under high green finance is reduced, fixation time is prolonged continuously, and the exit time of the cooperative strategy is prolonged. Furthermore, through numerical simulation, the digitalization level, green finance, and technological knowledge complementarity synergize the impact of cooperative innovation strategies, strengthening the sustainability stability of green technology cooperative innovation. This conclusion is further corroborated by an empirical test using data from listed companies in 2007–2022. It also provides new ideas for theoretical research on cooperative innovation, offers lessons on how to build innovation consortia, and shapes the implementation of innovation clusters.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103010"},"PeriodicalIF":10.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672078","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":"Co-experiencing with AI: Effects on social bonding and empathy in human-AI relationships","authors":"Yiming Qian,&nbsp;Xiaoang Wan","doi":"10.1016/j.techsoc.2025.103009","DOIUrl":"10.1016/j.techsoc.2025.103009","url":null,"abstract":"<div><div>When humans engage in co-experience by sharing the same event, their relationship typically grows closer. Given the increasingly deep integration of AI agents into human lives, we conducted three studies to examine whether the same impact exists in human-AI co-experience and to unravel its underlying mechanism. In Study 1, participants were directed to either co-experience an event with an embodied robot or experience it alone. All participants were randomly assigned to two groups, with the experiences featuring either positive or negative outcomes. Study 2 was identical to Study 1 in most aspects, except that participants were asked to imagine co-experiencing the event with a disembodied chatbot or alone. The results of both Study 1 and Study 2 consistently revealed that, compared with solitary experiences, human-AI co-experiences enhanced social bonding and increased empathy toward the AI agent, regardless of event outcomes. In Study 3, participants co-experienced the same event with a chatbot or alone and rated their perception of shared mental models. The results demonstrated that shared mental models mediated the effect of co-experience on human-AI relationships. Collectively, these findings highlight the positive impact of co-experiences on human-AI relationships, providing insights for fostering sustainable human-AI symbiosis.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103009"},"PeriodicalIF":10.1,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522916","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":"Harnessing AI capabilities and green entrepreneurial orientation for sustainable SME performance using SEM analysis approach","authors":"Wafa Naif Alwakid ,&nbsp;Nisar Ahmed Dahri","doi":"10.1016/j.techsoc.2025.103007","DOIUrl":"10.1016/j.techsoc.2025.103007","url":null,"abstract":"<div><div>The growing focus on sustainability and technological innovation has encouraged small and medium-sized enterprises (SMEs) to adopt artificial intelligence (AI) capabilities and a green entrepreneurial orientation as central drivers of sustainable performance. This research investigates the contribution of AI capabilities in promoting green innovations and creativity in SMEs, which collectively lead to long-term sustainability. The study is based on the Resource-Based View (RBV) theory, which offers a theoretical framework for investigating how AI-based competencies and green entrepreneurial strategies can promote SME performance. The research model comprises infrastructure, business integration, and a proactive attitude influencing AI capabilities, affecting SME creativity and green innovations. Moreover, green risk-taking, innovativeness, and proactiveness significantly contribute to green entrepreneurial orientation, affecting SME creativity and green innovations, ultimately resulting in sustainable performance. A quantitative research design was applied, utilizing survey data gathered from SME managers and business owners functioning in the manufacturing and service sectors in Saudi Arabia. 250 SMEs were examined using “Structural Equation Modeling (SEM)” analysis to validate the proposed hypotheses and evaluate these relationships. The results indicate that AI capabilities significantly impact SME creativity and green innovations. Moreover, green entrepreneurial orientation positively influences SME creativity and green innovations, which in turn facilitate sustainable performance. This research identifies the importance of SMEs allocating resources to AI infrastructure, proactive business strategies, and entrepreneurial risk-taking to foster green innovation and sustainability. Moreover, policymakers must facilitate AI-based green initiatives by implementing incentives and regulatory policies to promote sustainable development. By integrating AI capabilities and green entrepreneurship, SMEs can achieve a competitive advantage while achieving world sustainability goals.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103007"},"PeriodicalIF":10.1,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535210","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":"Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise","authors":"Min Qin ,&nbsp;Shanshan Qiu ,&nbsp;Jian Mou","doi":"10.1016/j.techsoc.2025.103006","DOIUrl":"10.1016/j.techsoc.2025.103006","url":null,"abstract":"<div><div>In manufacturing enterprises, many workplaces incorporate artificial intelligence (AI), employee use of AI has a significant impact on productivity. Employee AI identity varies across different AI-based workplaces, which are characterized by the presence of AI and employee-AI collaboration. This research categorizes AI workplaces into two types: task-supported AI workplaces (TSAIWs), where employees lead the core tasks, and task-decision-making AI workplaces (TDAIWs), where AI leads the core tasks. It further explores how these AI workplace types influence employee AI identity, along with the mediating and moderating effects involved. Based on data collected from 389 employees in a Chinese pharmaceutical manufacturing enterprise, the results show that employee AI identity is more strongly developed in TDAIWs than in TSAIWs. Moreover, employee - AI task fit partially mediates the relationship between AI workplace type and employee AI identity, while employee work experience positively moderates the effect of AI workplace type on employee-AI task fit. This research contributes to the development of AI identity theory and provides practical recommendations for enhancing employee-AI collaboration in enterprises.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103006"},"PeriodicalIF":10.1,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144522915","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":"Factors driving user behavior and value creation with text-to-image generative artificial intelligence (AI): A systems theory perspective","authors":"Chih-Lung Hung ,&nbsp;Jen-Her Wu ,&nbsp;Po-Chuen Chiang ,&nbsp;Qi Li ,&nbsp;Yi-Cheng Chen","doi":"10.1016/j.techsoc.2025.103005","DOIUrl":"10.1016/j.techsoc.2025.103005","url":null,"abstract":"<div><div>The rise of image-generative AI has made it a crucial tool for image creators, gaining popularity in fields such as cartography, design, and photography. As users increasingly rely on AI for image creation, understanding the factors that drive user value becomes essential. Drawing on systems theory, this study proposes a conceptual framework to examine the relationships among integration effort, compatibility, synergy, and value creation. Data from 531 AI image creators supported our hypotheses, revealing that: (1) integration effort significantly enhances both compatibility and synergy; (2) compatibility positively influences synergy; (3) synergy directly and positively impacts user value creation; and (4) synergy serves as a critical mediator in the relationships between the two enablers—compatibility and integration effort—and user value creation, with compatibility also partially mediating the link between integration effort and synergy. These results extend systems theory by integrating it more deeply with the resource-based view and highlighting synergy as a pivotal factor that not only directly drives user value creation but also mediates the effects of compatibility and integration effort. Furthermore, the study empirically confirms that user value can be conceptualized through three key constructs: efficiency, effectiveness, and innovation.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103005"},"PeriodicalIF":10.1,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489415","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 public digital governance system affects firms' digital technology innovation performance: Base on open innovation perspective","authors":"Yang Du ,&nbsp;Jun Xu ,&nbsp;Xiao Yuan","doi":"10.1016/j.techsoc.2025.103001","DOIUrl":"10.1016/j.techsoc.2025.103001","url":null,"abstract":"<div><div>Public digital governance (PDG) represents the government's capacity to leverage digital technologies in public administration. From a systems perspective, PDG encompasses four core dimensions and exhibits the distinctive characteristics of holism-emergence and independence-modularity. Drawing upon the framework of open innovation, this study investigates the key mechanisms through which PDG influences the digital technology innovation performance (DTIP) of enterprises. Utilizing a dynamic panel model based on data from Chinese provincial governments and listed firms, the paper inspects a benchmark effect and examines the transmission pathways through mediating, moderating, and threshold effect models. The empirical results reveal several findings. First, within the open innovation context, the enhancement of PDG directly improves DTIP, while the presence of CTO-equivalent positions within firms contributes to heterogeneity under the impact of PDG. Second, PDG enhances DTIP through multiple parallel mediating mechanisms, including the accumulation of information capital, the reduction of technological blockade, the promotion of knowledge integration, and the acceleration of corporate digitalization. Additionally, a chain mediating mechanism is identified, wherein PDG influences regional digital homogeneity, thereby facilitating corporate digitalization, finally impacts DTIP. Third, regional innovation and entrepreneurship activity positively moderates the relationship between PDG and DTIP, whereas corporate attention to digitalization exhibits a nonlinear threshold effect. This study conceptualizes the key dimensions of PDG from a systems theory perspective, unpacks the underlying mechanisms linking PDG to DTIP and offers valuable implications for understanding the coordinated development of public digital governance and firm innovation performance.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 103001"},"PeriodicalIF":10.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489416","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":"Does the digital innovation ecosystem promote green technology innovation? Evidence from 264 cities in China","authors":"Xue Bai,&nbsp;Zhuo Zhang","doi":"10.1016/j.techsoc.2025.102977","DOIUrl":"10.1016/j.techsoc.2025.102977","url":null,"abstract":"<div><div>With the Chinese government prioritizing “digitalization-driven green transformation” as a national strategy, the digital innovation ecosystem (DIE) and green technology innovation (GTI) have emerged as key drivers of high-quality development. However, the relationship between them remains unclear. This paper constructs a multidimensional framework of DIE and evaluates it using a coupling coordination degree model. Based on panel data from 264 Chinese cities (2011–2021), the spatial Durbin model is employed to analyze the impact of DIE on GTI and the moderating role of environmental regulation (ER). The results indicate that DIE promotes local and neighboring GTI through significant spatial spillover effects. Among the DIE subsystems, the digital innovation subject and environmental subsystems significantly enhance GTI, whereas the platform subsystem exhibits a limited effect. ER weakens the positive impact of DIE on GTI, with regional heterogeneity observed. This study provides new empirical evidence on the role of DIE in advancing sustainable development and offers tailored policy recommendations for coordinating digital and environmental strategies.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 102977"},"PeriodicalIF":10.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480733","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":"Can generative artificial intelligence drive sustainable behavior? A consumer-adoption model for AI-driven sustainability recommendations","authors":"Andri Dayarana K. Silalahi","doi":"10.1016/j.techsoc.2025.102995","DOIUrl":"10.1016/j.techsoc.2025.102995","url":null,"abstract":"<div><div>Generative AI (GAI) has the potential to promote sustainable behavior through personalized recommendations; yet its effectiveness hinges on user trust—an issue that remains under-explored in the literature. Existing studies often focus on specific domains without addressing broader trust-building mechanisms or the cognitive and motivational factors needed for sustained engagement. This study investigates how trust shapes the adoption of GAI-driven sustainability recommendations by integrating the Elaboration Likelihood Model (ELM) and Expectancy-Value Theory (EVT) into a single framework. Using data from sustainability-oriented users, we examine how central route constructs-perceived information quality and utility-peripheral route constructs-anthropomorphism and interaction quality-enhance trust, while perceived information complexity and perceived risk moderate these relationships. Our findings indicate that high-quality, useful information enhances trust through cognitive engagement, whereas anthropomorphic design and interaction quality reinforce trust via the heuristic route. However, excessive complexity and privacy concerns undermine trust, highlighting the need for clearer communication and data transparency. This study broadens theoretical understanding by extending ELM and EVT to the context of GAI-driven sustainability efforts, providing an integrated framework that encompasses cognitive and motivational trust drivers. These insights fill gaps in technology adoption research and offer practical guidance for developing GAI platforms that effectively support pro-environmental behavior change.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 102995"},"PeriodicalIF":10.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489427","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":"Augmenting user experience in the AI-transitioned metaverse: The role of knowledge management in socio-economic inclusion","authors":"Bei He ,&nbsp;Nourah O. Alshaghdali ,&nbsp;Yuheng Ren ,&nbsp;Marco Romano ,&nbsp;Maria Teresa Cuomo","doi":"10.1016/j.techsoc.2025.102996","DOIUrl":"10.1016/j.techsoc.2025.102996","url":null,"abstract":"<div><div>Driven by rapid technological advancements, such as artificial intelligence (AI), and the emergence of new platforms like the metaverse, coupled with traditional systems of knowledge management (KM), the importance of user experience (UX) has gained increasing attention for inclusive and collaborative socio-economic development. However, the existing research remains fragmented, often examining the UX, AI, or KM in isolation without providing an integrated framework for understanding their interplay within the metaverse environment. Furthermore, a lack of synthesis is evident in the way knowledge-driven systems contribute to inclusive and adaptive virtual experiences. To address this gap, as the first part, this study employs a systematic review method to integrate and synthesise existing research on metaverse and user experience, resulting in the identification of five core themes: Metaverse as a New Transformational Technology and UX, Metaverse Interactivity and UX, Metaverse Immersiveness and UX, Integrative Flow in Metaverse and UX and Metaverse Environment Interface and UX. Extending the thematic classification, the study proposes a conceptual model that highlights how AI-transitioned environments, when supported by KM practices, can lead to inclusive, intelligent, and adaptive user experiences (UX). The findings advance the understanding of UX in the metaverse, backed by AI transitions and KM nuances, offering valuable insights for future research and organisational practices in designing inclusive and sustainable metaverse engagement.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 102996"},"PeriodicalIF":10.1,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518413","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":"Exploring the link between cyberloafing and work-related factors: A decade of systematic analysis","authors":"Osman Uslu","doi":"10.1016/j.techsoc.2025.102997","DOIUrl":"10.1016/j.techsoc.2025.102997","url":null,"abstract":"<div><div>Cyberloafing has become a prevalent issue in modern work environments due to the rise of remote work, digitalization, and increased social media use. Despite its widespread occurrence, existing literature presents conflicting views on the causes and consequences of cyberloafing. While some studies emphasize its potential benefits, such as enhanced motivation, others underscore its detrimental effects on productivity. These contradictions, coupled with the absence of a unified theoretical framework, pose substantial challenges for both researchers and practitioners in understanding and managing this behavior. To address these challenges, the present study systematically reviews empirical research on cyberloafing, focusing exclusively on studies involving employees published over the past decade. By synthesizing a range of theoretical perspectives, this study seeks to provide a comprehensive understanding of cyberloafing, identifying its work-related antecedents and examining its consequences. The analysis identifies prominent theoretical perspectives, highlights common antecedents such as emotional exhaustion, peer cyberloafing, and workplace ostracism, and outlines major consequences, including job performance and future cyberloafing intentions. This study advances the understanding of cyberloafing trends and offers practical insights for managing this behavior in the workplace, suggesting strategies to mitigate its impact.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"83 ","pages":"Article 102997"},"PeriodicalIF":10.1,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489428","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}