Technology in Society最新文献

Modeling ICT adoption and electricity consumption in emerging digital economies: Insights from the West African Region 新兴数字经济体的信息和通信技术应用与电力消费建模：西非地区的启示

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-08 DOI: 10.1016/j.techsoc.2024.102759

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}

引用次数: 0

Artificial Intelligence: Intensifying or mitigating unemployment? 人工智能：加剧还是缓解失业？

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-06 DOI: 10.1016/j.techsoc.2024.102755

Meng Qin , Yue Wan , Junyi Dou , Chi Wei Su

{"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}

引用次数: 0

Technology shock of ChatGPT, social attention and firm value: Evidence from China ChatGPT的技术冲击、社会关注度与企业价值：来自中国的证据

IF 10.1 1区社会学

Technology in Society Pub Date : 2024-11-06 DOI: 10.1016/j.techsoc.2024.102756

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}

引用次数: 0

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

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

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

The disposition of data from precision agricultural technologies: What do young agriculturalists think? 精准农业技术数据的处理:年轻的农学家怎么想?

IF 9.2 1区社会学

Technology in Society Pub Date : 2023-10-18 DOI: 10.1016/j.techsoc.2023.102389

Abiodun Rasheed Idowu , Cheryl Wachenheim , Erik Hanson , Alexandra Sickler

引用次数: 0

The long and winding road towards payment for healthcare innovation with high societal value but limited commercial value: A comparative case study of devices and health information technologies 为具有高社会价值但商业价值有限的医疗保健创新付费的漫长而曲折的道路:设备和医疗信息技术的比较案例研究

IF 9.2 1区社会学

Technology in Society Pub Date : 2023-10-17 DOI: 10.1016/j.techsoc.2023.102405

Sanne Allers , Frank Eijkenaar , Erik M. van Raaij , Frederik T. Schut

{"title":"The long and winding road towards payment for healthcare innovation with high societal value but limited commercial value: A comparative case study of devices and health information technologies","authors":"Sanne Allers , Frank Eijkenaar , Erik M. van Raaij , Frederik T. Schut","doi":"10.1016/j.techsoc.2023.102405","DOIUrl":"https://doi.org/10.1016/j.techsoc.2023.102405","url":null,"abstract":"<div><p>Innovation is widely recognized as an important means of tackling challenges that face healthcare systems. But innovation can only succeed in this role if financial conditions allow innovations with high societal value to be developed and implemented. This study is an in-depth examination of the role of payment mechanisms throughout the innovation process, from the perspective of innovators. We conducted a comparative case study of four innovation projects, two involving medical devices and two involving health information technologies, all of which originated from academic settings. Although financial factors were found to have impeded the progress of innovative products at every step in the innovation process, this effect appears to have been strongest during the implementation phase. The perceived commercial value of an innovative product was a key factor in obtaining sufficient payment. Innovative products with potentially significant societal value but limited commercial value are unlikely to become structurally embedded in practice, or to be scaled up beyond the local level. The study reveals four additional factors that affect progress through the healthcare innovation process: compatibility of the innovation with existing practice, and commitment, competences, and social capital of the innovator. We identify a number of lessons for policy and practice that we believe would increase the likelihood of innovations with potentially significant societal value to achieve widespread implementation. These lessons reflect three key issues identified in our research: 1) shift the focus from commercial value towards societal value; 2) support dissemination of innovations beyond the local level; 3) help innovators to convey their valuable ideas.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"75 ","pages":"Article 102405"},"PeriodicalIF":9.2,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49737282","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

Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework 生成性人工智能促进开发性和探索性创新的驱动因素：TOE框架

IF 9.2 1区社会学

Technology in Society Pub Date : 2023-10-17 DOI: 10.1016/j.techsoc.2023.102403

Ayman wael AL-khatib

{"title":"Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework","authors":"Ayman wael AL-khatib","doi":"10.1016/j.techsoc.2023.102403","DOIUrl":"https://doi.org/10.1016/j.techsoc.2023.102403","url":null,"abstract":"<div><p>This research work aims to investigate the antecedents of generative artificial intelligence (GEN-AI) adoption, and exploratory and exploitative innovation. A conceptual model based on the technology-organization-environment (TOE) framework is proposed and tested empirically using online survey-based data collected from 260 managers and administrative employees located in the Jordanian retailing industry. To achieve the objectives of this work a covariance-based- structural equation modelling (CB-SEM) was employed. The results indicate that relative advantage, top management support, organizational readiness, and customer pressures positively influence GEN-AI adoption. The empirical results demonstrated that the influence of compatibility and competitive pressures on GEN-AI adoption are insignificant. It was found that complexity negatively influence of GEN-AI adoption, also the findings confirm the positive impact of GEN-AI on both exploratory and exploitative innovation. The findings of the existing research would be valuable for GEN-AI technology providers, managers and top management in the retail firms sector in terms of building effective procedures to promote the successful adoption of GEN-AI technologies and innovation.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"75 ","pages":"Article 102403"},"PeriodicalIF":9.2,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49762375","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

How organizational unlearning leverages digital process innovation to improve performance: The moderating effects of smart technologies and environmental turbulence 组织遗忘如何利用数字流程创新来提高绩效:智能技术和环境动荡的调节作用

IF 9.2 1区社会学

Technology in Society Pub Date : 2023-10-16 DOI: 10.1016/j.techsoc.2023.102395

Xiangyang Wang, Zhiyi Liu, Jiamin Li, Xuefei Lei

{"title":"How organizational unlearning leverages digital process innovation to improve performance: The moderating effects of smart technologies and environmental turbulence","authors":"Xiangyang Wang, Zhiyi Liu, Jiamin Li, Xuefei Lei","doi":"10.1016/j.techsoc.2023.102395","DOIUrl":"https://doi.org/10.1016/j.techsoc.2023.102395","url":null,"abstract":"<div><p>Digital process innovation has become the key for enterprises to implement digital transformation to optimize production and operation. However, as a radical change, digital process innovation may encounter strong inertia and resistance. How to overcome them to actively promote digital process innovation is crucial for enterprises. Building on organizational change theory, this study introduces organizational unlearning, smart technologies and environmental turbulence to explore how to promote digital process innovation by getting rid of inertia, thus improving performance. This study empirically tests 212 valid samples from Chinese enterprises using partial least squares structural equation modeling (PLS-SEM) and PROCESS. The results show that digital process innovation mediates the relationship between organizational unlearning and enterprise performance. Also, both smart technologies and environmental turbulence positively moderate the mediation of digital process innovation on the association between organizational unlearning and enterprise performance. This study reveals that organizational unlearning, smart technologies and environmental turbulence are powerful factors to break organizational inertia and promote digital process innovation, which provides fresh and significant insights of how to get rid of inertia in the process of digital transformation for academia and practitioners.</p></div>","PeriodicalId":47979,"journal":{"name":"Technology in Society","volume":"75 ","pages":"Article 102395"},"PeriodicalIF":9.2,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49723897","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