Technology in Society最新文献

{"title":"Enhancing ESG performance through digital transformation: Insights from China's manufacturing sector","authors":"Xiaowei Ding ,&nbsp;Darko B. Vuković ,&nbsp;Boris I. Sokolov ,&nbsp;Natalia Vukovic ,&nbsp;Yali Liu","doi":"10.1016/j.techsoc.2024.102753","DOIUrl":"10.1016/j.techsoc.2024.102753","url":null,"abstract":"<div><div>This study uses sustainability and stakeholder theories to examine how corporate digital transformation (DIT) impacts ESG (Environmental, Social, Governance) performance, focusing on listed Chinese manufacturing firms from 2015 to 2020. The analysis employs two-stage least squares model (2SLS) and propensity score matching-differences in differences (PSM-DID) technique to address endogeneity, and a series of robustness checks to validate the results. Findings reveal that DIT enhances ESG performance by fostering green innovation, encouraging risk-taking, and optimizing resource allocation. Economic policy uncertainty and executives' gender diversity impede these benefits, while party organization embeddedness shows no moderating effect. Additionally, the study identifies spatial spillover effects of DIT on ESG performance, with synergistic effects observed among companies within the same locality and industry. These insights offer profound implications for governmental efforts to improve the business environment and promote green development, ensuring the equitable distribution of \"digital dividends” among stakeholders.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102753"},"PeriodicalIF":10.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142578231","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":"Deconstruct artificial intelligence's productivity impact: A new technological insight","authors":"Zhiyao Sun ,&nbsp;Shuai Che ,&nbsp;Jie Wang","doi":"10.1016/j.techsoc.2024.102752","DOIUrl":"10.1016/j.techsoc.2024.102752","url":null,"abstract":"<div><div>Some viewpoints suggest that IT investment seems to fail to significantly stimulate enterprise productivity in some cases. Therefore, revealing the impact of AI on firm productivity is an important topic to analyze whether Solow's paradox can be valid in the digital age. Based on panel data of 3235 listed companies in China from 2007 to 2021, we comprehensively discuss the impact and mechanism of AI on firm productivity using fixed-effects model, systematic GMM model, and mediated-effects model. Key findings include: AI significantly improves firm productivity, especially in state-controlled, internationally minded, and innovative firms. Mitigating information asymmetry is a key channel, while specialized division of labor and independent green innovation are potential ones. Supply chain digital transformation policies enhance the productivity effect of AI, and AI shows green development benefits. Additionally, the dynamic decomposition effect shows that the productivity-enhancing effect of AI is slowing down in the long run. This research provides important insights into understanding AI's role in the digital age and holds significance for firms and policymakers.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102752"},"PeriodicalIF":10.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572067","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 artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China","authors":"Jianlong Wang ,&nbsp;Yong Liu ,&nbsp;Weilong Wang ,&nbsp;Haitao Wu","doi":"10.1016/j.techsoc.2024.102751","DOIUrl":"10.1016/j.techsoc.2024.102751","url":null,"abstract":"<div><div>In the pursuit of climate change mitigation and carbon neutrality, climate policy uncertainty (CPU) poses a threat to enterprises' green, low-carbon, and sustainable development. The intelligent transformation of enterprises is a crucial strategy for addressing climate risks and enhancing energy efficiency. However, there is a lack of research on how intelligent transformation impacts low-carbon development from the perspective of micro-enterprises. Based on this gap, we analyze data from Shanghai and Shenzhen A-share listed manufacturing enterprises from 2010 to 2022 to empirically test the impact of intelligent manufacturing (IM) on enterprise carbon emission performance (ECEP) using a difference-in-differences model. We also explore the moderating effect of IM on the relationship between CPU and ECEP. Our findings indicate that IM significantly enhances ECEP. IM boosts the ECEP of enterprises in the eastern region, state-owned enterprises, and capital- and technology-intensive sectors. Green technological innovation, human capital, and organizational resilience are key mechanisms through which IM enhances ECEP. Further analysis reveals that CPU significantly inhibits ECEP, whereas IM positively moderates the impact of CPU. In the context of external environmental uncertainty, this study offers crucial insights into how intelligent technology can strengthen the real economy and facilitate the low-carbon transformation of manufacturing enterprises.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102751"},"PeriodicalIF":10.1,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572070","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":"Balancing the tradeoff between regulation and innovation for artificial intelligence: An analysis of top-down command and control and bottom-up self-regulatory approaches","authors":"Keith Jin Deng Chan ,&nbsp;Gleb Papyshev ,&nbsp;Masaru Yarime","doi":"10.1016/j.techsoc.2024.102747","DOIUrl":"10.1016/j.techsoc.2024.102747","url":null,"abstract":"<div><div>In response to the rapid development of AI, several governments have established a variety of regulatory interventions for this technology. While some countries prioritize consumer protection through stringent regulation, others promote innovation by adopting a more hands-off approach. However, this tradeoff has not been analyzed systematically. We developed an economic theory on how the welfare-maximizing level of regulatory stringency for AI depends on various institutional parameters. Our game-theoretic model is motivated and built upon the comparison of regulatory documents for AI from the EU, the UK, the US, Russia, and China. The results show that if a government strives to find the right balance between innovation and consumer protection to maximize actual consumer welfare, stringent regulation is optimal when foreign competition is either high or low, whereas light-touch regulation is optimal when foreign competition is intermediate. Meanwhile, minimal regulation is rationalizable only if a government prioritizes other objectives in its agenda, such as maximizing innovation, domestic producer surplus, or perceived consumer welfare.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102747"},"PeriodicalIF":10.1,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support","authors":"Shaofeng Wang ,&nbsp;Hao Zhang","doi":"10.1016/j.techsoc.2024.102744","DOIUrl":"10.1016/j.techsoc.2024.102744","url":null,"abstract":"<div><div>This study investigates the integral role of generative artificial intelligence (GAI) in enhancing green entrepreneurship success, focusing on the interconnected dynamics of GAI adoption, green knowledge management, innovation, and government support. Despite the growing interest in GAI, existing research lacks an understanding of how GAI fosters green entrepreneurship success, particularly in green knowledge management and innovation pathways. Utilizing a robust theoretical framework grounded in resource orchestration and knowledge management theories, we examine the influence of GAI on acquiring and applying green knowledge and its subsequent impact on fostering green innovation. The study examines how government funding moderates these correlations. Employing PLS-SEM and fsQCA, the research elucidates complex interrelationships and causal paths. The findings reveal that GAI significantly enhances green knowledge management capabilities, which drives green innovation and entrepreneurship success. Additionally, government support plays a crucial role in amplifying these effects. This study contributes to technological change and social transformation discourse, offering practical insights for decision-makers and stakeholders in green entrepreneurship and policy-making.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102744"},"PeriodicalIF":10.1,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142560736","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":"Back to the future: Entrepreneurial leadership and levelling up in the mobile-gaming sector","authors":"Colin Donaldson ,&nbsp;Jorge Villagrasa ,&nbsp;Joaquin Alegre ,&nbsp;Eric W. Liguori","doi":"10.1016/j.techsoc.2024.102748","DOIUrl":"10.1016/j.techsoc.2024.102748","url":null,"abstract":"<div><div>Start-ups in dynamic industries frequently pivot their focus, which can help them develop a clear strategic position and subsequently generate a competitive advantage. Whether to pivot or persevere becomes a real-time, critical, and multifaceted decision involving the founder, firm, and environment, but little is known about this complex interplay. Through an explorative case study, we tracked the founding, survival, and growth of Codigames, a high-performing Valencia-based mobile gaming start-up. We combine entrepreneurial leadership, decision-making, and perspective-taking theories to generate insight into critical moments in the start-up's lifepath, contributing to research on the contextualisation of entrepreneurship decision-making under uncertainty.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102748"},"PeriodicalIF":10.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572068","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":"Tech for social good: Artificial intelligence and workplace safety","authors":"Xi Zhong,&nbsp;Jianquan She,&nbsp;Xiaojie Wu","doi":"10.1016/j.techsoc.2024.102745","DOIUrl":"10.1016/j.techsoc.2024.102745","url":null,"abstract":"<div><div>The impact of artificial intelligence on the interests of corporate shareholders has been widely explored, but how it affects the interests of employees, particularly their workplace safety, has not yet been explored properly. This study examines the impact of artificial intelligence on workplace safety by applying Heinrich's domino theory. Using empirical data from listed companies in China from 2011 to 2022, we find that artificial intelligence will improve workplace safety. We attribute this to the fact that artificial intelligence reduces employees' unsafe behavior and suppresses the unsafe state of objects, which in turn promotes workplace safety. In addition, we find that military CEOs enhance the relationship, but foreign shareholders have no effect on it. Further tests show that the role of artificial intelligence in improving workplace safety is more pronounced in SOEs and firms that disclose corporate social responsibility (CSR). By incorporating Heinrich's domino theory, we provide new insights into the literature on artificial intelligence and workplace safety and new insights for governments and firms to improve workplace safety.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102745"},"PeriodicalIF":10.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142572069","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":"Decoding algorithm fatigue: The role of algorithmic literacy, information cocoons, and algorithmic opacity","authors":"Hui Yang,&nbsp;Dan Li,&nbsp;Peng Hu","doi":"10.1016/j.techsoc.2024.102749","DOIUrl":"10.1016/j.techsoc.2024.102749","url":null,"abstract":"<div><div>Algorithmic technologies are dominating our online experiences, from content recommendations to personalized services. However, it also introduces a new challenge: algorithm fatigue. Algorithm fatigue describes the phenomenon where users experience mental and emotional exhaustion in prolonged interaction with algorithms. To decode this phenomenon, we explored personal and technical antecedents of algorithm fatigue and its impact on user behavior. Using data collected from 393 users of algorithm-driven applications, we identified three key drivers of algorithm fatigue: algorithmic literacy (understanding how algorithms work), information cocoons (being exposed to repetitive content), and algorithmic opacity (a lack of transparency in how algorithms make decisions). Interestingly, while greater algorithmic literacy is often thought to enhance user satisfaction, our findings suggest it actually exacerbates fatigue. Both information cocoons and algorithmic opacity also contribute to algorithm fatigue, highlighting the need for diverse content and transparent algorithm designs. Additionally, we found a strong link between algorithm fatigue and resistance behavior, with fatigued users more likely to resist algorithmic recommendations. Overall, this study suggests developers and policymakers design more user-centric algorithms that not only excel in personalization but also reduce potential fatigue and resistance in algorithmic interactions.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102749"},"PeriodicalIF":10.1,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554503","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":"Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment","authors":"Marta F. Arroyabe ,&nbsp;Carlos F.A. Arranz ,&nbsp;Ignacio Fernandez De Arroyabe ,&nbsp;Juan Carlos Fernandez de Arroyabe","doi":"10.1016/j.techsoc.2024.102733","DOIUrl":"10.1016/j.techsoc.2024.102733","url":null,"abstract":"<div><div>This study investigates the effects of digital capabilities, innovation capabilities, and business environmental support on the adoption of Artificial Intelligence (AI) in Small and Medium-sized Enterprises (SMEs). Utilizing dynamic capabilities and resource dependency theories, we provide a comprehensive and integral analysis of the drivers that facilitate AI adoption in SMEs. We conducted an empirical study encompassing 12,108 SMEs, based on survey data of the Flash Eurobarometer database from the European Union. Our analysis employed a combination of classical regression methods and advanced machine learning techniques, including artificial neural networks and tree regression. Our findings highlight the importance of digital capabilities in driving AI adoption, where complementing innovation capabilities exhibit synergistic effects. Contrary to prevailing literature, business environmental support alone demonstrates limited impact, emphasizing its contingent effectiveness within a well-elaborated institutional framework. Furthermore, the synergy between business environmental support and digital and innovation capabilities has a significant impact on AI adoption in SMEs. However, internal capabilities exert a greater influence on AI adoption in SMEs compared to business environmental support. This study contributes to dynamic capabilities theory by elucidating the interplay of digital and innovation capabilities, offering a nuanced understanding of their combined influence on AI adoption. It also enriches resource dependency theory by highlighting the dynamic nature of business environmental support. For practitioners, our results underscore the need for a balanced investment in digital and innovation capabilities. Policymakers should consider these insights when designing support structures for SMEs, emphasizing a comprehensive approach to foster internal capabilities alongside creating an enabling external environment.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102733"},"PeriodicalIF":10.1,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142554502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unrevealing the nexus between digital sustainability and corporate digital responsibility: A dual-track systematic literature review towards a framework of corporate digital sustainability","authors":"Claudia Covucci ,&nbsp;Maria Giovanna Confetto ,&nbsp;Aleksandr Ključnikov ,&nbsp;Mirela Panait","doi":"10.1016/j.techsoc.2024.102743","DOIUrl":"10.1016/j.techsoc.2024.102743","url":null,"abstract":"<div><div>This study investigates the interconnectedness of Digital Sustainability (DS) and Corporate Digital Responsibility (CDR), through a dual-track systematic literature review, analyzing 202 scholarly works from Web of Science and Scopus. The review is based both on bibliometric and content analyses in order to map current knowledge on these two theoretical constructs.</div><div>By collecting and comparing definitions and key topics, the review revealed that DS and CDR are treated separately in the current literature, missing their potential synergies—DS often overlooks ethical implications, while CDR neglects broader sustainability impacts. However, notable convergences emerged, leading to the development of an integrated Corporate Digital Sustainability (CDS) framework. This framework leverages digital technologies as a cross-cutting enabler and systematizes values, objectives, dimensions, practices, and aspects to guide corporations in navigating the complexities of digital sustainability while achieving responsible digital progress. The study concludes by proposing a research agenda to guide future explorations in this promising direction.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102743"},"PeriodicalIF":10.1,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}