Technological Forecasting and Social Change最新文献_第10页

Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes 医疗保健领域的数字化转型：评估数字技术在管理支持流程中的作用

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-28 DOI: 10.1016/j.techfore.2024.123781

Marianna Mauro , Guido Noto , Anna Prenestini , Fabrizia Sarto

{"title":"Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes","authors":"Marianna Mauro , Guido Noto , Anna Prenestini , Fabrizia Sarto","doi":"10.1016/j.techfore.2024.123781","DOIUrl":"10.1016/j.techfore.2024.123781","url":null,"abstract":"<div><div>This study used Porter's value chain model within healthcare organizations and the technology–organization–environment framework to explore the impact of digital technologies on managerial and administrative support processes and identify the determinants of their adoption. We used the Delphi methodology to examine six categories of digital technologies (Internet of Things, artificial intelligence & machine learning, big data & business analytics, cloud storage & computing, social media, and blockchain). The study used an inductive qualitative approach involving 11 experts to gather opinions on the most impactful digital technologies and the factors that hinder or limit digital transformation. We found that the Internet of Things and artificial intelligence & machine learning have the most significant impact on administrative support processes in healthcare organizations. Blockchain was least relevant. The experts identified the skills and competencies of employees as the most crucial determinants for ensuring successful digital transformation. These results contribute to the literature on digital transformation in healthcare, which has previously mainly focused on the impact of technologies on clinical processes. The findings may also be useful to both policymakers and practitioners in determining priorities for investment in digital technologies and delivering successful implementation.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123781"},"PeriodicalIF":12.9,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Risks of policy failure in direct R&D support 直接研发支持政策失败的风险

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-28 DOI: 10.1016/j.techfore.2024.123654

Mercedes Bleda , Seweryn Krupnik

引用次数: 0

Bringing employee learning to AI stress research: A moderated mediation model 将员工学习引入人工智能压力研究：调节中介模型

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-28 DOI: 10.1016/j.techfore.2024.123773

Qiwei Zhou , Keyu Chen , Shuang Cheng

{"title":"Bringing employee learning to AI stress research: A moderated mediation model","authors":"Qiwei Zhou , Keyu Chen , Shuang Cheng","doi":"10.1016/j.techfore.2024.123773","DOIUrl":"10.1016/j.techfore.2024.123773","url":null,"abstract":"<div><div>While a substantial portion of the literature characterizes artificial intelligence (AI) stress as a hindrance, our focus diverges by probing employee learning as an active response to this challenge. We highlight the role of employee knowledge and skills development amidst an enterprise's digital transformation. Drawing on the active learning perspective of the Job Demand-Control model, we investigate <em>why</em> and <em>when</em> AI stress promotes employee learning and subsequent adaptive coping behaviors. We propose that AI stress can create opportunities and resources for employee learning, leading to improved job performance and supportive behavior for digital transformation. Additionally, we examine how employee trust in AI moderates these relationships, finding that higher levels of AI trust are associated with greater use of active learning strategies when faced with AI stress. Our findings, based on a two-wave survey of 224 employees from a motor-vehicle testing company in China, are further supported by post-hoc interview data collected from 32 employees of the same company. Overall, our study contributes to the understanding of AI adoption, digital transformation, and stress learning.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123773"},"PeriodicalIF":12.9,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142358757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring resistance barriers in travelers' word of mouth for mobile payment systems: Mediating effects of trust and usage intention 探索旅行者对移动支付系统口碑传播的阻力障碍：信任和使用意向的中介效应

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-27 DOI: 10.1016/j.techfore.2024.123771

Irfan Hameed , Imran Hameed , Umair Akram , Ghulam Ali Arain , Riyad Eid

{"title":"Exploring resistance barriers in travelers' word of mouth for mobile payment systems: Mediating effects of trust and usage intention","authors":"Irfan Hameed , Imran Hameed , Umair Akram , Ghulam Ali Arain , Riyad Eid","doi":"10.1016/j.techfore.2024.123771","DOIUrl":"10.1016/j.techfore.2024.123771","url":null,"abstract":"<div><div>Emerging technologies, such as mobile payment systems (MPS), continue to affect people from all walks of life, including travelers' behaviors. Following the innovation resistance theory (IRT) framework, the current study examined the link between innovation resistance barriers (i.e., usage, value, risk, tradition, and image) and word of mouth (WOM) for MPS usage in the travel industry. Specifically, we integrated trust theory and examined how these innovation resistance barriers affect trust, which then affects MPS usage intention and subsequently affects WOM for MPS. Following the two-study research design, multi-wave data were collected from 403 participants in Study 1 and 378 participants in Study 2. The results supported the serial mediation of trust and MPS usage intention for the relationships between usage, value, and tradition barriers and WOM for MPS. Our findings contribute to travel and consumer behavior theory and practice by explaining how and why specific innovation barriers negatively influence WOM for MPS usage in the travel industry.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123771"},"PeriodicalIF":12.9,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142327331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Climate risk, digital transformation and corporate green innovation efficiency: Evidence from China 气候风险、数字化转型与企业绿色创新效率：来自中国的证据

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-26 DOI: 10.1016/j.techfore.2024.123777

Xiaohang Ren , Wenqi Li , Yiying Li

{"title":"Climate risk, digital transformation and corporate green innovation efficiency: Evidence from China","authors":"Xiaohang Ren , Wenqi Li , Yiying Li","doi":"10.1016/j.techfore.2024.123777","DOIUrl":"10.1016/j.techfore.2024.123777","url":null,"abstract":"<div><div>Amid the rapid evolution of economic activities, climate risk has become a significant challenge for China, profoundly influencing corporate investment decisions. This study explores the effects and mechanisms of climate risk on corporate green innovation efficiency within the Chinese context. The findings reveal that climate risk significantly enhances corporate green innovation efficiency through two stages: green technology R&D and the conversion of green outcomes, facilitated by external supervision and digital transformation mechanisms. Specifically, climate risk increases public awareness and the effectiveness of supervision over corporate environmental performance, while also bolstering the intrinsic motivation for corporate digital transformation, collectively enhancing green innovation efficiency. Furthermore, government green subsidies, market competition intensity, and corporate innovation continuity positively moderate the impact of climate risk on green innovation efficiency. These effects are particularly pronounced in high-tech firms, state-owned enterprises, firms with fewer financing constraints, and those with robust environmental management systems. Ultimately, the positive effect of climate risk on corporate green innovation efficiency further enhances corporate green total factor productivity. This research provides valuable insights for companies striving to harmonize economic benefits with environmental performance.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123777"},"PeriodicalIF":12.9,"publicationDate":"2024-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142322398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing the impact of new technologies on wages and labour income shares 评估新技术对工资和劳动收入份额的影响

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-26 DOI: 10.1016/j.techfore.2024.123782

Mahdi Ghodsi , Robert Stehrer , Antea Barišić

引用次数: 0

Strategic roadmapping to accelerate and risk-mitigate enabling innovations: A generalizable method and a case illustration for marine renewable energy 绘制战略路线图，以加速和化解扶持性创新的风险：海洋可再生能源的通用方法和案例说明

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-25 DOI: 10.1016/j.techfore.2024.123761

J.V. Sinfield , A. Ajmani , W. McShane

{"title":"Strategic roadmapping to accelerate and risk-mitigate enabling innovations: A generalizable method and a case illustration for marine renewable energy","authors":"J.V. Sinfield , A. Ajmani , W. McShane","doi":"10.1016/j.techfore.2024.123761","DOIUrl":"10.1016/j.techfore.2024.123761","url":null,"abstract":"<div><div>Understanding technological evolution and its implications is increasingly important as the public and private sectors harness next generation technologies to address society's major challenges. Current roadmapping methods for these <em>enabling innovations</em> suffer from several limitations and often shed more light on technology viability than adoptability, leading many to frame related pursuits as unpredictable high-risk, high-reward activities. However, recent research highlights that the risk associated with developing enabling innovations depends more on the approach to pursuit than the technology itself. Drawing on this perspective, we put forward a strategic roadmapping approach that overcomes historical limitations by: 1.) framing technological advance as a complex socio-technical transition and 2.) drawing upon related patterns of high-impact innovation to inform unique roadmapping analyses. The result – the Enabling Innovation Strategic Roadmapping method – examines technical, economic, and socio-cultural barriers to progress to define windows of opportunity in which viable technological capabilities can be matched to adoption-ready needs within and beyond the motivating sector, fostering advance toward a long-term vision, technology convergence, valley of death avoidance, and means to influence ecosystem evolution. To illustrate the methodology, we develop a strategic roadmap for marine hydrokinetic energy technologies that could support the advent of a marine renewable energy economy.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123761"},"PeriodicalIF":12.9,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142319711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan 工作电脑化、职业就业和工资：美国、德国和日本的比较研究

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-24 DOI: 10.1016/j.techfore.2024.123772

Yuxi Heluo , Oliver Fabel

{"title":"Job computerization, occupational employment and wages: A comparative study of the United States, Germany, and Japan","authors":"Yuxi Heluo , Oliver Fabel","doi":"10.1016/j.techfore.2024.123772","DOIUrl":"10.1016/j.techfore.2024.123772","url":null,"abstract":"<div><div>This study adds to the growing literature on wage and employment responses to the risk of job computerization. Specifically, it revisits the original occupational perspective and inquires into the nature of the adjustments of occupational wages and employment, i.e., the potential benefits and costs associated with professional careers in such occupations. The investigation further aims at identifying whether these adjustment processes are universal — as suggested by the global availability of the respective technology — or reflect country-specific peculiarities. To this end, it conducts a comparative analysis with data from the United States, Germany, and Japan, three G7 lead countries which share the commitment to fostering technological progress, but which are also characterized by distinctly different labor market institutions and approaches to industrial policies. Generally consistent with the country-specific employment institutions and common corporate strategies, transmission channels — as reflected by the relationship between adjustments of occupational employment and wages — differ between countries. In all three countries, though, higher risks of computerization are associated with relative wage losses in occupations which require low levels of formal education or training.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123772"},"PeriodicalIF":12.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0040162524005705/pdfft?md5=8a296efaaa6662da0b9f52c360f073fd&pid=1-s2.0-S0040162524005705-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Me, myself and AI: How gender, personality and emotions determine willingness to use Strong AI for self-improvement 我、我自己和人工智能：性别、个性和情感如何决定使用强人工智能进行自我提升的意愿

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-24 DOI: 10.1016/j.techfore.2024.123760

Sabrina Renz , Jeanette Kalimeris , Sebastian Hofreiter , Matthias Spörrle

{"title":"Me, myself and AI: How gender, personality and emotions determine willingness to use Strong AI for self-improvement","authors":"Sabrina Renz , Jeanette Kalimeris , Sebastian Hofreiter , Matthias Spörrle","doi":"10.1016/j.techfore.2024.123760","DOIUrl":"10.1016/j.techfore.2024.123760","url":null,"abstract":"<div><div>With current technological advancements in AI pushing the boundaries of human-level capabilities, using general human-level artificial intelligence (i.e., Strong AI) holds potential for substantially improving human cognitive abilities. We examine individual-level antecedents of willingness to use Strong AI for improving human cognitive abilities. Two quantitative studies (<em>N</em><sub>1</sub> = 1446, <em>N</em><sub>2</sub> = 1090) reveal that gender and emotions have significant effects on the intention to use Strong AI for cognitive self-enhancement. Male (compared to female) participants demonstrate a higher willingness to use Strong AI for self-improvement. This difference can be explained partly by negative and independently by positive emotional reactions toward Strong AI. Neuroticism moderates the indirect effect via negative emotional reactions, such that sex differences in negative emotions diminish with higher levels of neuroticism. Our research findings provide first empirical evidence for demographic asymmetries regarding adoption intentions of Strong AI for cognitive self-improvement. We emphasize the importance of addressing sex differences through the management of positive as well as negative emotional responses and personality dispositions when designing equitable strategies for implementing Strong AI within our societies.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123760"},"PeriodicalIF":12.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142310793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Determinants of natural disaster emergency public investment cycles in central and southern Chinese regions: The role of technological innovation efficiency 中国中部和南部地区自然灾害应急公共投资周期的决定因素：技术创新效率的作用

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-09-24 DOI: 10.1016/j.techfore.2024.123708

Fangjian Zhou , Hao Zhou , Hua Guo , Yinchun Lei , Chengling Tang , Xue Li

{"title":"Determinants of natural disaster emergency public investment cycles in central and southern Chinese regions: The role of technological innovation efficiency","authors":"Fangjian Zhou , Hao Zhou , Hua Guo , Yinchun Lei , Chengling Tang , Xue Li","doi":"10.1016/j.techfore.2024.123708","DOIUrl":"10.1016/j.techfore.2024.123708","url":null,"abstract":"<div><div>This paper analyses the disaster emergency public investment performance against the background of carbon emissions using the super-efficiency DEA and Malmquist models combined with emergency management and handling methods. A comprehensive and systematic analysis of the performance of natural disaster emergency public investment in the central and southern regions found deficiencies in current emergency performance due to inadequate legislation, inadequate resource allocation, and lack of prevention knowledge among the public. Further research results indicate that various provinces in the central and southern regions attach great importance to emergency public investment in natural disasters, mainly through the influence of scale efficiency and technical efficiency, which promotes enhancement in productivity, thus, the increase of emergency public investment rate. Technical efficiency positively impacts output, and some provinces have differences in their natural disaster emergency public investment rates due to the slow growth of technological progress. Therefore, specific measures will be gradually implemented to address the influencing factors.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"209 ","pages":"Article 123708"},"PeriodicalIF":12.9,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142315958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0