Technology in Society最新文献_第2页

Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory 参考创新扩散理论，探索影响人工智能应用的决定因素

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-05 DOI: 10.1016/j.techsoc.2024.102750

Priyadarsini Patnaik , Mahmoud Bakkar

{"title":"Exploring determinants influencing artificial intelligence adoption, reference to diffusion of innovation theory","authors":"Priyadarsini Patnaik , Mahmoud Bakkar","doi":"10.1016/j.techsoc.2024.102750","DOIUrl":"10.1016/j.techsoc.2024.102750","url":null,"abstract":"<div><div>An organization's ability to accept innovation heavily depends on its leadership caliber. Although leadership is known to affect all three stages of adoption (initiation, adoption, and routinization), literature has yet to examine the specific leadership components that contribute to each of these phases. Drawing from existing literature on transformational leadership and AI adoption, this article examines how transformational leadership can facilitate the successful implementation of AI technologies. This paper explores the intersection of transformational leadership and artificial intelligence (AI) adoption within organizations. This study used data from 250 companies to develop and evaluate a framework combining the Diffusion of Innovation (DOI) theory with transformational leadership (TL). The results were analyzed using structural equation modeling (SEM) techniques. The study examined the determinants influencing the adoption of AI as a new technology. This study found TL is a crucial driver of adoption, whereas elements like vision and intellectual stimulation are essential for the Intention to adopt. Also, this research indicates that adopting a significant innovation like AI is intricately linked to leaders' vision and ability to respect and recognize the feelings and needs of others (both indicators of offering individual assistance). Additionally, practical implications and recommendations for leaders are provided to navigate the complex landscape of AI adoption.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102750"},"PeriodicalIF":10.1,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663804","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}

引用次数: 0

Advanced cryopreservation as an emergent and convergent technological platform 先进的冷冻保存技术是一种新兴的融合技术平台

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-02 DOI: 10.1016/j.techsoc.2024.102754

Evelyn Brister , Paul B. Thompson , Susan M. Wolf , John C. Bischof

{"title":"Advanced cryopreservation as an emergent and convergent technological platform","authors":"Evelyn Brister , Paul B. Thompson , Susan M. Wolf , John C. Bischof","doi":"10.1016/j.techsoc.2024.102754","DOIUrl":"10.1016/j.techsoc.2024.102754","url":null,"abstract":"<div><div>Advanced cryopreservation technologies have the potential to transform organ transplants, biomedical research, food storage, aquaculture, biodiversity repositories, ecological restoration, and numerous other applications. These surpass the capability of existing cryopreservation technologies to extend the life and viability of biological materials at various scales from cells to tissues, organs, and entire organisms. In this article, we demonstrate why innovations in advanced cryopreservation, which we analyze as emergent, convergent platform technologies, raise novel concerns for research ethics and coordination, governance, and equitable access to benefits. As emerging technologies, they may disrupt markets or destabilize social institutions, including the systems that govern the distribution of organs for transplant. As convergent technologies, their impact will be heightened through interaction with other technologies. The technologies that may intensify the social and ethical effects of advanced cryopreservation include information technologies that permit the administration of complex logistics of storage and transport, biotechnologies for the management of floral and faunal species and populations, and 3D printing technologies that may enable the development and distribution of customizable peripheral components of this platform technology. The speed of development among diverse applications of the core platform is likely to vary between sectors in ways that are responsive to public support as well as to ethical constraints, and advancements in any sector will affect the achievement of reliability for the core technology across sectors. We recommend that societal benefits and risks be assessed both in the specific contexts for which peripheral components are developed and for the core technology.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102754"},"PeriodicalIF":10.1,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142586838","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}

引用次数: 0

Industry 4.0 factors affecting SMEs towards sustainable manufacturing 影响中小企业实现可持续制造的工业 4.0 因素

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-02 DOI: 10.1016/j.techsoc.2024.102746

Nagendra Kumar Sharma , Vimal Kumar , Pratima Verma , Mahak Sharma , Ashwaq Al Khalil , Tugrul Daim

{"title":"Industry 4.0 factors affecting SMEs towards sustainable manufacturing","authors":"Nagendra Kumar Sharma , Vimal Kumar , Pratima Verma , Mahak Sharma , Ashwaq Al Khalil , Tugrul Daim","doi":"10.1016/j.techsoc.2024.102746","DOIUrl":"10.1016/j.techsoc.2024.102746","url":null,"abstract":"<div><div>Industry 4.0 (I4.0) is one of the essential topics that has been researched extensively in the research domain. In the same way, there are also several research available to check the connections between I4.0 and sustainable manufacturing. It is because of the increasing concern of stakeholders over environmental challenges that manufacturing units are often blamed. It is also true that a major part of manufacturing is done by SMEs in almost every developed or developing economy of the world including India. Therefore, the present research work took place to identify the factors that are essential for sustainable manufacturing using I4.0 in Indian SMEs. In the present study, a total of six factors were identified from the previous studies, which are technological factors (TF), organizational factors (OF), environmental factors (ENF), societal factors (SF), economic factors (ECF), and external stakeholders' factors (ESF) considering the triple bottom line (TBL) approach of the sustainability model. Each factor consists of a few sub-factors, and a total of thirty-five factors were developed. The best-worst method (BWM) and Hierarchical Decision Model (HDM) were applied to bring the results. The result suggests that OF and TF are ranked number one and two respectively. ECF and ENF ranked at three and four whereas, ESF and SF ranked at five and six respectively. The study helps firm managers revolutionize their organizations’ approach to the sustainability model by looking at the Industry 4.0 factors affecting SMEs toward sustainable manufacturing. When managers and practitioners try to convert their business digitally, this study also enables them to prioritize the many I4.0 factors that are most important to their organization. The model was validated by a regional application in Saudi Arabia.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102746"},"PeriodicalIF":10.1,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663806","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}

引用次数: 0

Enhancing ESG performance through digital transformation: Insights from China's manufacturing sector 通过数字化转型提高环境、社会和公司治理绩效：中国制造业的启示

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-01 DOI: 10.1016/j.techsoc.2024.102753

Xiaowei Ding , Darko B. Vuković , Boris I. Sokolov , Natalia Vukovic , Yali Liu

{"title":"Enhancing ESG performance through digital transformation: Insights from China's manufacturing sector","authors":"Xiaowei Ding , Darko B. Vuković , Boris I. Sokolov , Natalia Vukovic , 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}

引用次数: 0

Deconstruct artificial intelligence's productivity impact: A new technological insight 解构人工智能对生产力的影响：新的技术见解

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-01 DOI: 10.1016/j.techsoc.2024.102752

Zhiyao Sun , Shuai Che , Jie Wang

{"title":"Deconstruct artificial intelligence's productivity impact: A new technological insight","authors":"Zhiyao Sun , Shuai Che , 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}

引用次数: 0

Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China 人工智能能否改善企业碳排放绩效？来自中国智能转型政策的证据

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-01 DOI: 10.1016/j.techsoc.2024.102751

Jianlong Wang , Yong Liu , Weilong Wang , Haitao Wu

{"title":"Does artificial intelligence improve enterprise carbon emission performance? Evidence from an intelligent transformation policy in China","authors":"Jianlong Wang , Yong Liu , Weilong Wang , 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}

引用次数: 0

Balancing the tradeoff between regulation and innovation for artificial intelligence: An analysis of top-down command and control and bottom-up self-regulatory approaches 平衡人工智能监管与创新之间的权衡：自上而下的命令与控制和自下而上的自我监管方法分析

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-10-30 DOI: 10.1016/j.techsoc.2024.102747

Keith Jin Deng Chan , Gleb Papyshev , Masaru Yarime

{"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 , Gleb Papyshev , 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}

引用次数: 0

Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support 生成式人工智能时代的绿色创业成功：技术采用、知识管理和政府支持的相互作用

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-10-30 DOI: 10.1016/j.techsoc.2024.102744

Shaofeng Wang , Hao Zhang

{"title":"Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support","authors":"Shaofeng Wang , 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}

引用次数: 0

Back to the future: Entrepreneurial leadership and levelling up in the mobile-gaming sector 回到未来：移动游戏行业的创业领导力和水平提升

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-10-29 DOI: 10.1016/j.techsoc.2024.102748

Colin Donaldson , Jorge Villagrasa , Joaquin Alegre , Eric W. Liguori

引用次数: 0

Tech for social good: Artificial intelligence and workplace safety 科技造福社会：人工智能与工作场所安全

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-10-29 DOI: 10.1016/j.techsoc.2024.102745

Xi Zhong, Jianquan She, Xiaojie Wu

{"title":"Tech for social good: Artificial intelligence and workplace safety","authors":"Xi Zhong, Jianquan She, 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}

引用次数: 0