Technological Forecasting and Social Change最新文献_第3页

A mindset toward greening the blue economy: Analyzing social environmental awareness of aquatic ecosystem protection 绿化蓝色经济的思维方式：分析保护水生生态系统的社会环境意识

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-26 DOI: 10.1016/j.techfore.2024.123901

Oana-Daniela Lupoae , Dragos Sebastian Cristea , Ștefan Mihai Petrea , Cătălina Iticescu , Riana Iren Radu , Violeta Maria Isai

{"title":"A mindset toward greening the blue economy: Analyzing social environmental awareness of aquatic ecosystem protection","authors":"Oana-Daniela Lupoae , Dragos Sebastian Cristea , Ștefan Mihai Petrea , Cătălina Iticescu , Riana Iren Radu , Violeta Maria Isai","doi":"10.1016/j.techfore.2024.123901","DOIUrl":"10.1016/j.techfore.2024.123901","url":null,"abstract":"<div><div>To help address global water pollution challenges, this article explores the interconnections between public awareness, education, social engagement, and knowledge transfer in promoting sustainable water resource management. The socialization, externalization, combination, and internalization (SECI) model and the transtheoretical model of change (TMC) are used to examine how education and awareness can influence citizens' behavior. The article also assesses the contribution of the entrepreneurial sector to aquatic biodiversity conservation and pollution reduction. The analysis is based on Kruskal-Wallis and Mann-Whitney <em>U</em> tests, as well as several machine learning regression and classification algorithms. This analysis sheds light on the complex relationships between awareness, education, engagement, and knowledge transfer. A key aspect of this study is the analysis of demographic data. This analysis reveals varying perceptions and levels of engagement with aquatic ecosystem protection across different demographic groups. The results indicate variations by age, gender, occupation, and education level, highlighting the importance of tailored educational and social engagement strategies. Additionally, the results underscore the pivotal role of entrepreneurs in developing and implementing innovative, sustainable solutions. This research reveals the need for integrated strategies that combine educational and entrepreneurial efforts to ensure more efficient and responsible management and thus protect aquatic ecosystems while reducing pollution.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123901"},"PeriodicalIF":12.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698161","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

How does digital transformation predict the investment cycle in family enterprises? 数字化转型如何预测家族企业的投资周期？

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-26 DOI: 10.1016/j.techfore.2024.123895

Jing Hao , Xingzi Ren , Huining Bi , Ji (George) Wu

{"title":"How does digital transformation predict the investment cycle in family enterprises?","authors":"Jing Hao , Xingzi Ren , Huining Bi , Ji (George) Wu","doi":"10.1016/j.techfore.2024.123895","DOIUrl":"10.1016/j.techfore.2024.123895","url":null,"abstract":"<div><div>This paper explores the impact of digital transformation on the investment efficiency of family enterprises. Using a multiperiod difference-in-differences (DID) model, the study finds that, compared with nonfamily enterprises, family enterprises experience a significant decline in investment efficiency following digital transformation. Mechanism tests indicate that increased agency costs and heightened risk-taking in family firms' post-digital transformation drive this decline. The negative effect is pronounced in firms with higher pre-transformation information quality and those with lower financial constraints. This study contributes to the literature by examining corporate digital transformation through the lens of investment cycles in family firms, thereby deepening our understanding of the economic consequences of technological cycles. Additionally, the findings offer valuable insights for family enterprises, guiding them in making informed decisions about digital transformation, developing effective adaptation strategies, and maximizing the benefits of technological advancements.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123895"},"PeriodicalIF":12.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142721260","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

Opportunities to future crime: Scoping the future of money laundering and terrorist financing through cryptoassets 未来犯罪的机遇：利用加密资产洗钱和资助恐怖主义的未来展望

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-26 DOI: 10.1016/j.techfore.2024.123894

Matthew Manning , Eray Arda Akartuna , Shane Johnson

{"title":"Opportunities to future crime: Scoping the future of money laundering and terrorist financing through cryptoassets","authors":"Matthew Manning , Eray Arda Akartuna , Shane Johnson","doi":"10.1016/j.techfore.2024.123894","DOIUrl":"10.1016/j.techfore.2024.123894","url":null,"abstract":"<div><div>Despite market turbulence, innovation in the cryptoasset ecosystem continues to derive new financial technologies that can facilitate pseudonymous money transfers. Though the money laundering (ML) and terrorist financing (TF) risks of this phenomenon are well documented, rapid innovation consistently generates inadvertent new opportunities for criminal exploitation. This futures-oriented systematic scoping review of 200 publications aims to identify new and emerging: (1) enablers of ML/TF in the cryptoasset space; (2) geopolitical trends that exacerbate these risks; (3) specific criminal methods of cryptoasset-enabled ML/TF; (4) relevant stakeholders; and (5) inherent risk characteristics. This review has two aims: the first is to provide a repository of insights that are relevant for stakeholders with crime prevention obligations, including insights into non-fungible tokens (NFTs), decentralised finance (DeFi), metaverse technologies, central-bank digital currencies (CBDCs), Russia's invasion of Ukraine and North Korea's “Lazarus Group” cyberhackers. The second is to analyse thematically the insights gained to create a checklist-style framework of factors that exacerbate the ML/TF risks of emerging innovation, called the <em>Opportunity-to-future crime</em> (O2FC) Framework. Policymakers and academics can screen new developments against this checklist to determine the nature of their crime threats and priorities for prevention measures and/or future research. To legitimise its use, this framework is backed through crime scientific opportunity theories that strengthen the themes emerging from the review. The ultimate objective is to contribute to the sustainable development of cryptoasset technologies, specifically by motivating pre-emptive prevention strategies that counter projected ML/TF risks before their exploitation becomes mainstream.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123894"},"PeriodicalIF":12.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698156","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

Examining the influence of entrepreneurial ecosystem pressure on the economic, social, and environmental orientation of startups 研究创业生态系统压力对初创企业经济、社会和环境导向的影响

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-25 DOI: 10.1016/j.techfore.2024.123900

Serena Filippelli , Ciro Troise , Barbara Bigliardi , Vincenzo Corvello

{"title":"Examining the influence of entrepreneurial ecosystem pressure on the economic, social, and environmental orientation of startups","authors":"Serena Filippelli , Ciro Troise , Barbara Bigliardi , Vincenzo Corvello","doi":"10.1016/j.techfore.2024.123900","DOIUrl":"10.1016/j.techfore.2024.123900","url":null,"abstract":"<div><div>Startups are agile entities capable of fostering innovation and swiftly navigating turbulent market conditions. Against the backdrop of global challenges, particularly environmental and social issues, startups have gained prominence as potential agents of positive change. Recognizing their value, stakeholders, including large corporations, universities, and governments, actively seek collaboration and support for startup growth. This network of actors, or entrepreneurial ecosystem, exerts different types of pressure on startups. In particular, although efficiency, speed, and reliability are emphasized for economic success, there is an increasing emphasis on environmental and social sustainability within entrepreneurial ecosystems. This study explores the dynamics of entrepreneurial ecosystems and their impact on startup performance, specifically focusing on the dual pressures exerted on startups. The study delves into the potential conflict or synergy between these pressures, aiming to answer the research question regarding the impact of entrepreneurial ecosystem pressures on both economic and environmental/social sustainability. Through a survey conducted among Italian startups, the research reveals that these pressures do not compromise either economic or sustainability objectives. The findings contribute to a nuanced understanding of entrepreneurship, highlighting the interconnectedness between entrepreneurial ecosystems and individual company performance. Moreover, the study advances the sustainability literature by demonstrating that sustainability-oriented ecosystems can coexist with economic growth objectives, offering valuable insights for entrepreneurs, universities, public administration, and large companies.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123900"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698160","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

Antecedents and consequences of social robots adoption for SMEs - Reimaging emerging technologies in the context of the new normal 中小企业采用社交机器人的前因后果--在新常态下重新审视新兴技术

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-25 DOI: 10.1016/j.techfore.2024.123887

Nazrul Islam , Sandip Rakshit , Tripti Paul

{"title":"Antecedents and consequences of social robots adoption for SMEs - Reimaging emerging technologies in the context of the new normal","authors":"Nazrul Islam , Sandip Rakshit , Tripti Paul","doi":"10.1016/j.techfore.2024.123887","DOIUrl":"10.1016/j.techfore.2024.123887","url":null,"abstract":"<div><div>The study offers a holistic framework for examining the use of social robots in SMEs and subsequently investigates both its drivers as well as implications. The research builds on the Technology-Organization-Environment (TOE) framework using a mixed-methodological approach of surveys, interviews and focus groups to investigate which factors drive small entrepreneurship in adopting social robots with their subsequent impact on business performance. The findings highlight the role of factors that mediate adoption decisions alongside technological compatibility and organizational readiness, which result in operational efficiencies, financial performance improvements and sustainable business practices. We interpret these findings to provide strategic advice for SME managers on the adoption of social robots, that illustrates planning and considering internal and external dynamics are critical with a view to successful integration. This study enriches the body of scholarly research by offering an insight into technology acceptation in SMEs with a specific focus on social robots, and therefore this research has theoretical & managerial contributions.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123887"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698155","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

Toward sustainable operations: Integrating utility management into short-term scheduling in the phosphate industry 实现可持续运营：将公用事业管理纳入磷酸盐工业的短期调度中

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-25 DOI: 10.1016/j.techfore.2024.123861

Salma El Atchi , Ahlam Azzamouri , Frédéric Gautier

{"title":"Toward sustainable operations: Integrating utility management into short-term scheduling in the phosphate industry","authors":"Salma El Atchi , Ahlam Azzamouri , Frédéric Gautier","doi":"10.1016/j.techfore.2024.123861","DOIUrl":"10.1016/j.techfore.2024.123861","url":null,"abstract":"<div><div>This study presents an enhanced short-term scheduling model for supply chains, emphasizing sustainability through the integration of key utilities, which we define as steam, energy, and water. However, in the current phase of our research, we specifically concentrate on steam as a primary utility due to its critical role in the phosphate industry, particularly within the operations of the OCP Group, a leader in phosphate extraction and fertilizer production. By employing a simulation model that integrates steam, we aim to align daily operational decisions with broader sustainability objectives, establishing a foundation for the eventual inclusion of the other defined utilities. This study employs a comparative analysis of a traditional scheduling model and an innovative utility-based model. By simulating real-world operational scenarios, this research demonstrates how the utility-based model substantially improves resource utilization and reduces operational downtime compared with conventional practices. The findings reveal that integrating steam into scheduling not only supports the OCP Group's immediate operational goals but also aligns with broader sustainability objectives by minimizing resource waste and enhancing efficiency. These results underscore the critical role of utility management in supply chain scheduling and its potential to contribute to the industry's long-term sustainability efforts.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123861"},"PeriodicalIF":12.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698159","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

Navigating the uncertainty path of virtual influencers: Empirical evidence through a cultural lens 在虚拟影响者的不确定性道路上航行：从文化视角看经验证据

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-24 DOI: 10.1016/j.techfore.2024.123896

Cristian Rizzo , Gabriele Baima , Kamila Janovská , Stefano Bresciani

引用次数: 0

Analyzing the impact of intelligence and technological factors on farmers' sustainable purchasing behavior 分析智力和技术因素对农民可持续采购行为的影响

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-23 DOI: 10.1016/j.techfore.2024.123860

Nikhil Kewal Krishna Mehta , Rohit Sharma , Angel Contreras Cruz , Tugrul U. Daim

{"title":"Analyzing the impact of intelligence and technological factors on farmers' sustainable purchasing behavior","authors":"Nikhil Kewal Krishna Mehta , Rohit Sharma , Angel Contreras Cruz , Tugrul U. Daim","doi":"10.1016/j.techfore.2024.123860","DOIUrl":"10.1016/j.techfore.2024.123860","url":null,"abstract":"<div><div>With the increased environmental awareness and health consciousness in recent eras, a positive shift has occurred towards building a sustainable green culture. Therefore, agriculture as the primary pillar of our ecosystem needs to change to be sustainable. Farmers are the critical pillar of the agriculture system, so they need to be sustainable in their decision-making and behavior. The primary purpose of this research is to explore the farmers' intentions about purchasing sustainable products by applying the extension model of the Theory of Planned Behavior while integrating the effect of the Triarchic Theory of Intelligence. Data is collected through 183 usable surveys in rural areas, explicitly covering agriculture-dominated India's eastern, northern, and central zones. The empirical findings show that a farmer's intelligence, which integrates analytical, creative, and practical intelligence, positively affects attitude, subjective norms, and perceived behavioral control. Further, the farmers' attitudes, social norms, and perceived behavioral control positively influence their intention, continually developing their sustainable purchasing behavior and providing a positive directional change for purchasing sustainable products for farming. The study also includes the effect of technology and trust as controlling variables that positively affect sustainable procurement practices. Finally, this research analysis provided managerial insights to promote a green and sustainable culture at the ground level by transforming farmers' purchasing behavior. On a concluding note, this research would help analyze the factors influencing farmers' behavior in undertaking sustainable procurement practices.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123860"},"PeriodicalIF":12.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698153","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

AI capability and green innovation impact on sustainable performance: Moderating role of big data and knowledge management 人工智能能力和绿色创新对可持续绩效的影响：大数据和知识管理的调节作用

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-23 DOI: 10.1016/j.techfore.2024.123897

Hussam Al Halbusi , Khalid Ibrahim Al-Sulaiti , Ali Abdallah Alalwan , Adil S. Al-Busaidi

{"title":"AI capability and green innovation impact on sustainable performance: Moderating role of big data and knowledge management","authors":"Hussam Al Halbusi , Khalid Ibrahim Al-Sulaiti , Ali Abdallah Alalwan , Adil S. Al-Busaidi","doi":"10.1016/j.techfore.2024.123897","DOIUrl":"10.1016/j.techfore.2024.123897","url":null,"abstract":"<div><div>This study addresses the environmental impact of industries by focusing on increased resource consumption and waste generation that lead to ecosystem degradation. It advocates sustainable practices and a circular economy (CE) as strategies to mitigate these effects. Thus, the study examines how Artificial Intelligence (AI) capabilities directly affect green innovations and their subsequent influence on sustainable performance and CE. In addition, it introduces two key moderating factors—big data analytics and knowledge management systems—in the relationship between AI capabilities and green innovation. We validate the model using multi-sectoral population data from various Qatari industries and employ structural equation modeling (SEM) and artificial neural networks (ANN) as analytical approaches. The results indicate the significant impact of AI capability on green innovation, with these innovations critically linked to sustainable performance and CE. Remarkably, interactions with big data analytics and knowledge management systems enhance the positive impact of AI capabilities. Hence, this study emphasizes AI's noteworthy implications for green innovation, shaping sustainable performance, and CE. Identifying big data analytics and knowledge management systems as vital moderators adds complexity. The findings guide industries to integrate AI, big data analytics, and knowledge management systems for practical applications, stressing a holistic approach to promoting environmentally responsible practices across sectors.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123897"},"PeriodicalIF":12.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698162","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

The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies 工业机器人应用的绿色创新效应：来自中国制造企业的证据

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-23 DOI: 10.1016/j.techfore.2024.123904

Xiaoqian Liu , Javier Cifuentes-Faura , Xiaodong Yang , Junyu Pan

{"title":"The green innovation effect of industrial robot applications: Evidence from Chinese manufacturing companies","authors":"Xiaoqian Liu , Javier Cifuentes-Faura , Xiaodong Yang , Junyu Pan","doi":"10.1016/j.techfore.2024.123904","DOIUrl":"10.1016/j.techfore.2024.123904","url":null,"abstract":"<div><div>Artificial intelligence has emerged to revolutionize society in China. Investigating whether industrial robot applications (IRAs) can contribute to Chinese economic prosperity has significant theoretical and practical significance. For this purpose, this study estimates the impact of IRAs on green innovation by decomposing the industry robot stock to the corporate level using global industry robot data and manufacturing data from Chinese manufacturing listed companies by constructing a Bartik instrumental variable. The results show that IRAs notably promote corporate green innovation. However, IRAs do not contribute equally to all corporations in green creation. Its effects on green innovation are mainly observed in larger corporations, technology-intensive industries, and corporations located in developed cities. Digital transformation, management efficiency, and CEO's information technology (IT) background can further strengthen the green innovation effect of IRAs. We conclude that the rational exploitation of artificial intelligence drives the economy towards green development.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123904"},"PeriodicalIF":12.9,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698154","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