{"title":"Values, wellbeing, and job satisfaction in telework: Evidence from IT-enabled service firms","authors":"Pradeep Kautish , Weng Marc Lim , Rambabu Lavuri","doi":"10.1016/j.techsoc.2024.102762","DOIUrl":"10.1016/j.techsoc.2024.102762","url":null,"abstract":"<div><div>The widespread adoption of telework, initially driven by the COVID-19 pandemic, has persisted beyond the crisis, reshaping organizational practices and redefining employee expectations. Despite its accelerated implementation, limited research has explored how teleworking environments influence employee value orientations and their impact on wellbeing and job satisfaction. This study examines the distinct effects of terminal and instrumental values on two dimensions of employee wellbeing—psychological and subjective—and how these, in turn, affect job satisfaction in a teleworking environment. Focusing on IT-enabled service firms in India, this study provides insights into a developing market where telework is increasingly becoming mainstream. An online survey yielded 715 responses from employees working in these firms, which were analyzed using covariance-based structural equation modeling (CB-SEM). Findings reveal that both terminal and instrumental values positively influence psychological and subjective wellbeing, which subsequently enhance job satisfaction, and that psychological and subjective wellbeing partially mediate the relationship between these values and job satisfaction. The study's contributions therefore lie in providing a better understanding of how value-driven motivations influence employee wellbeing and satisfaction when they work from home or remotely (theoretical contribution) while providing actionable implications for improving telework policies and practices (practical contribution).</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"80 ","pages":"Article 102762"},"PeriodicalIF":10.1,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745111","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":"Fact-checking in the age of AI: Reducing biases with non-human information sources","authors":"Won-Ki Moon , Lee Ann Kahlor","doi":"10.1016/j.techsoc.2024.102760","DOIUrl":"10.1016/j.techsoc.2024.102760","url":null,"abstract":"<div><div>This study examines the obstacles to the effectiveness of fact-checking, focusing primarily on the pervasive impact of entrenched biases. Fact-checking efforts often face resistance when linked to mistrusted sources, leading to cognitive dissonance and the rejection of messages in favor of pre-existing beliefs, a phenomenon known as motivated reasoning. This resistance hinders organizations’ ability to correct misconceptions surrounding social issues and entities. The research delves into whether non-human entities such as AI can facilitate less biased information processing due to their perceived impartiality. Applying a moderated mediation model in experimental settings, we found that labeling a source as artificial intelligence is pivotal in evaluating fact-checking. AI labels moderate the impact of partisan biases on the persuasive outcomes of fact-checks, such as message credibility and acceptance, compared to the human source. This study offers valuable insights for enhancing the effectiveness of fact-checking in the context of cognitive and psychological biases by highlighting the critical influence of information sources in reducing polarization in public perceptions of scientific issues.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"80 ","pages":"Article 102760"},"PeriodicalIF":10.1,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745109","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":"Reverse salient as a nexus of technologies and values in sociotechnical systems: A case study of lithium-ion batteries","authors":"Yunxuan Miao","doi":"10.1016/j.techsoc.2024.102757","DOIUrl":"10.1016/j.techsoc.2024.102757","url":null,"abstract":"<div><div>A good comprehension of value dynamics can contribute to a more value-sensitive and responsible design of technology. Theories addressing changes in values related to technology tend to reduce the complexity of technology development, neglecting the intricate interrelations between technical components within sociotechnical systems. This paper proposes an approach that incorporates Thomas Hughes’ notion of reverse salient to explore value change across two sociotechnical scenarios, which also aligns with the pragmatic account of values. Through an analysis of the values of safety and sustainability within lithium-ion battery (LiB) technologies, this study illustrates how the approach assesses changes in the relative importance of specific values within a certain domain, as well as the dynamics in the translation of these values. This case demonstrates that the emergence of reverse salients can enhance the recognition of certain values, potentially prompting a reconsideration of how these values are interpreted or translated. The study recommends that future research advances the operationalization of reverse salients and applies them to specific contexts to better manage value change.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102757"},"PeriodicalIF":10.1,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701132","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":"Theoretical dimensions for integrating research on anticipatory governance, scientific foresight and sustainable S&T public policy design","authors":"Mateus Panizzon , Raquel Janissek-Muniz","doi":"10.1016/j.techsoc.2024.102758","DOIUrl":"10.1016/j.techsoc.2024.102758","url":null,"abstract":"<div><div>The future of Science and Technology (S&T) is a continuous and strategic priority for governments, universities, and organizations, driving societal benefits through innovation, sustainability, and development. However, there is a gap—and a critical opportunity—for research on architectures supporting Anticipatory Governance (AG) that integrates Scientific Foresight (ScF) and the design of sustainable S&T policies, especially at federal and state levels in emerging countries. In this context, this paper aims to enhance understanding of the theoretical dimensions essential for integrating AG, ScF, and sustainable S&T policy design, proposing an emergent systemic framework. Adopting a Systematic Literature Review (SLR), the analysis identifies seven theoretical dimensions that unify these three themes, opening new possibilities for integrated research. This method also supported the development of a systemic framework for Anticipatory Governance, Scientific Foresight, and Sustainable S&T Policy Design, setting up foundational components for further testing, development, implementation, and providing a research agenda for Anticipatory Governance Systems. Implications for systemic and institutional innovation in public management are discussed, indicating that evolving these frameworks could strengthen complex decision-making around public policies and investments in strategic S&T areas involving multiple stakeholders in Foresight and Policy Design, particularly those addressing pressing societal challenges.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"80 ","pages":"Article 102758"},"PeriodicalIF":10.1,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745107","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}
Isaac Ankrah , Michael Appiah Kubi , Sampson Twumasi-Ankrah , Frank Gyimah Sackey , Richard Asravor , Brenya Boahemaa , Derrick Donkor , Lilian Arthur , Christopher Lamptey , Eric Ekobor-Ackah Mochiah
{"title":"Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region","authors":"Isaac Ankrah , Michael Appiah Kubi , Sampson Twumasi-Ankrah , Frank Gyimah Sackey , Richard Asravor , Brenya Boahemaa , Derrick Donkor , Lilian Arthur , Christopher Lamptey , Eric Ekobor-Ackah Mochiah","doi":"10.1016/j.techsoc.2024.102759","DOIUrl":"10.1016/j.techsoc.2024.102759","url":null,"abstract":"<div><div>This study investigates the impact of Information and Communication Technologies (ICT) on electricity consumption in West Africa, employing a dynamic panel data model. The results show a significant long-term positive effect of ICT adoption on electricity consumption. Notably, internet connections increase the demand for electricity, with estimates ranging from 13.4 % to 19.3 %. While mobile phone subscriptions demonstrate modest positive effect of 6.85 %, personal computer ownership appears to have a negligible impact.</div><div>The study contributes to the existing literature by offering a detailed examination of the distinct effects of different ICT components on electricity consumption, incorporating a novel estimation approach and sensitivity analyses that account for the COVID-19 pandemic and the Anglo-French linguistic divide. What's more, the analysis constitutes an initial effort in the examining both short-term and long-term dynamics of the ICT-electricity relationship in West African region.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102759"},"PeriodicalIF":10.1,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663805","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":"Artificial Intelligence: Intensifying or mitigating unemployment?","authors":"Meng Qin , Yue Wan , Junyi Dou , Chi Wei Su","doi":"10.1016/j.techsoc.2024.102755","DOIUrl":"10.1016/j.techsoc.2024.102755","url":null,"abstract":"<div><div>The rapid development of Artificial Intelligence (AI) is simultaneously fostering a proliferation of novel job opportunities while rendering some traditional roles obsolete and specific skills outdated. Previous research has failed to consider the short-, medium-, and long-term variations in AI's impact on unemployment, which may lead to an incomplete understanding of the AI-employment relationship. This paper examines daily data from January 4, 2013, to August 12, 2024, utilising advanced wavelet-based Quantile on Quantile Regression (QQR) methodology to assess AI's impact on the Unemployment Index (UI) across quantiles and time scales, with a sample size of 2820 drawn from a larger dataset totalling 4241 observations. The conclusions reveal that AI generally positively impacts UI in the short term, especially with AI at 0.6–0.7 quantiles, as automation replaces workers faster than new job roles emerge and skills transform. However, in the medium term, positive and negative effects balance as new jobs and skills emerge through continuous industrial restructuring. In the long run, AI predominantly mitigates UI by further enhancing economic development, fostering skill upgrading, and facilitating market adjustments, but this result does not hold during AI at 0.7 quantiles and UI at the highest quantiles, such as Coronavirus Disease 2019 (COVID-19). Under new technological revolution and industrial transformation, we formulate China-specific suggestions to avert potential AI-induced unemployment crisis from short-term, medium-term, long-term, and sector-specific perspectives.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102755"},"PeriodicalIF":10.1,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663801","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}
Qinqin Wu , Qinqin Zhuang , Yitong Liu , Longyan Han
{"title":"Technology shock of ChatGPT, social attention and firm value: Evidence from China","authors":"Qinqin Wu , Qinqin Zhuang , Yitong Liu , Longyan Han","doi":"10.1016/j.techsoc.2024.102756","DOIUrl":"10.1016/j.techsoc.2024.102756","url":null,"abstract":"<div><div>The release of ChatGPT has attracted widespread attention and triggered fluctuations in the capital market. This study employs difference-in-differences (DID) and event study (ES) to investigate the effects of ChatGPT's release on the cumulative abnormal return (CAR) of listed companies in China. The results reveal that a series of ChatGPT launch events, including GPT-3.5 and GPT-4, have a significantly positive impact on the firm value of the companies focused on ChatGPT, with dynamic effects. In the initial two months after the release of ChatGPT, the Chinese stock market exhibited an undervaluation of GPT-focused companies, indicating information asymmetry and competitive substitution effect. With the widespread promotion of generative AI, social recognition of ChatGPT's potential value increased. This study verifies the moderation effect of social attention in strengthening ChatGPT's impact, demonstrating that a higher search index for ChatGPT enhances stock returns for GPT-focused companies. Heterogeneity tests reveal that the impact of ChatGPT is significantly positive for large or non-state-owned companies, while small or state-owned companies show no significant effect. From the perspective of labor structure, companies dominated by technical and production personnel experience positive effects, whereas those dominated by sales personnel do not. In the eastern regions with more favorable digital economic innovation environments, companies experience a notably positive impact. This paper provides a theoretical explanation and empirical evidence for the microeconomic impact of generative AI in the Chinese context, offering valuable insights for both government and firms.</div></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"79 ","pages":"Article 102756"},"PeriodicalIF":10.1,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663803","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 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}
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}
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}