Technological Forecasting and Social Change最新文献

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-18 DOI: 10.1016/j.techfore.2024.123871

Wei Liao, Jianping Gu, Kaijian Li

{"title":"Roles of related and unrelated external technologies in shaping regional breakthrough technological advantages","authors":"Wei Liao, Jianping Gu, Kaijian Li","doi":"10.1016/j.techfore.2024.123871","DOIUrl":"10.1016/j.techfore.2024.123871","url":null,"abstract":"<div><div>Technological innovation serves as an intrinsic driver for regional economic development, particularly wherein breakthrough innovations exert a profound impact on the continuous evolution of regional technologies and industrial upgrading. Given the uneven distribution of innovation resources and technological capabilities across regions, regions should not only focus on indigenous innovation but also consider how to leverage knowledge from outside the region. This approach is crucial for breaking the path dependency of innovation to achieve regional technological breakthrough. Our paper broadens the technological relatedness framework from a local scope to an inter-regional context by introducing the concept of external technological densities. Specifically, we investigate the nuanced roles of external technologies distinguished by relatedness and unrelatedness, in shaping the trajectories of regional breakthrough technological innovation. Our research underscores the crucial role of assimilating knowledge spillovers from related external technologies for catching-up regions, as such integration fosters breakthrough innovations, while the inclusion of unrelated external technologies exhibits adverse effects. Moreover, both external identical technology and external related technology complement local related technology, jointly facilitating breakthroughs in relative technological advantages. However, in high-complexity cities and technological domains, it is more critical to leverage local related and unrelated technologies rather than relying on external knowledge spillovers.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123871"},"PeriodicalIF":12.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660270","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

Standardization and Standards: Safeguards of Technological Sovereignty? 标准化与标准：技术主权的保障？

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-17 DOI: 10.1016/j.techfore.2024.123873

Knut Blind

{"title":"Standardization and Standards: Safeguards of Technological Sovereignty?","authors":"Knut Blind","doi":"10.1016/j.techfore.2024.123873","DOIUrl":"10.1016/j.techfore.2024.123873","url":null,"abstract":"<div><div>Technological sovereignty has gained significant relevance for the geopolitical relations during the Covid-19 pandemic, initially triggered by the trade conflicts in particular between the U.S. and China and now even further fired by the Russian attack of the Ukraine. Consequently, policy measures have been discussed to achieve technological sovereignty. Despite the growing relevance of standardization, their opportunities have only to a limited extent been considered an effective policy instrument to secure or even achieve technological sovereignty. Based on a review of the literature, the mechanism of standardization and standards as safeguards for technological sovereignty are elaborated. We offer a list of propositions to be tested in future studies. Using mobile communication standardization to illustrate its specific characteristics including its development process, we elaborate on the effectiveness of the various safeguard mechanism. Finally, policy implications are derived for the various mechanisms. The paper ends with challenges for standardization and standards to achieve or assure technological sovereignty in the future geopolitical contexts.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123873"},"PeriodicalIF":12.9,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660266","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

Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles 人工智能作为旅游业可持续增长和经济周期的催化剂

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123875

Abu Bakkar Siddik , Md. Shak Forid , Li Yong , Anna Min Du , John W. Goodell

{"title":"Artificial intelligence as a catalyst for sustainable tourism growth and economic cycles","authors":"Abu Bakkar Siddik , Md. Shak Forid , Li Yong , Anna Min Du , John W. Goodell","doi":"10.1016/j.techfore.2024.123875","DOIUrl":"10.1016/j.techfore.2024.123875","url":null,"abstract":"<div><div>We investigate the role of artificial intelligence (AI) in promoting sustainable tourism growth and its implications for the next technological and economic cycle. Focusing on the top ten global tourist destinations from 2010 to 2022, we investigate the interplay between AI adoption, gross domestic product (GDP), foreign direct investment (FDI), inflation (INF), and urbanization (UB). Utilizing a multi-method approach that integrates artificial neural network (ANN) analysis with traditional econometric models, the findings highlight that AI is a critical driver of tourism efficiency and smart tourism capabilities, significantly enhancing tourism sustainability. The study reveals substantial contributions from GDP, INF, FDI, and UB as well. AI's role as a pivotal technological catalyst in sustainable tourism development underscores its importance in shaping the next economic cycle. These insights provide essential guidance for policymakers and industry stakeholders on leveraging AI to propel tourism growth, aligning with broader goals of economic and environmental sustainability.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123875"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660269","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

Enabling a viable circular ecosystem for electric vehicle batteries 打造可行的电动汽车电池循环生态系统

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123876

Johan Wellten , Jannis Angelis , Elias Ribeiro da Silva

{"title":"Enabling a viable circular ecosystem for electric vehicle batteries","authors":"Johan Wellten , Jannis Angelis , Elias Ribeiro da Silva","doi":"10.1016/j.techfore.2024.123876","DOIUrl":"10.1016/j.techfore.2024.123876","url":null,"abstract":"<div><div>Greater use and reuse of electric vehicle batteries is needed for the ongoing electrification of the transport sector towards a net-zero and carbon-low economy. Such battery second-life uses and later recycling requires an ecosystem with actors having reliable battery tracking and equitably sharing usage information. However, existing studies do not prescribe viable solutions to such circular ecosystems. Therefore, this study explores the electric vehicle battery ecosystem's structures, actors, and processes that may enable battery circularity. The study was conducted on one global electric vehicle battery supply chain in the heavy-duty and commercial vehicle sector. It covers all phases of the battery journey. Primary data was collected through interviews and observations, and supported by secondary documentary data. For contribution, while the existing literature on battery circularity largely focuses on technology choices for information transparency, sharing and tracking, our study develops a value model that identifies key considerations for creating a viable electric vehicle battery ecosystem and the challenges that participating actors need to resolve. Practically, the findings demonstrate the importance of actors being adaptive in all parts of EVB circularity development, and it highlights the critical role the OEM has to ensure that equitable value sharing occurs among the various partners.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123876"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660263","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

Examining trust in cryptocurrency investment: Insights from the structural equation modeling 研究加密货币投资中的信任问题：结构方程建模的启示

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123882

Ali Saeedi, Anas Al-Fattal

{"title":"Examining trust in cryptocurrency investment: Insights from the structural equation modeling","authors":"Ali Saeedi, Anas Al-Fattal","doi":"10.1016/j.techfore.2024.123882","DOIUrl":"10.1016/j.techfore.2024.123882","url":null,"abstract":"<div><div>The purpose of this study is to investigate investors' trust in cryptocurrency investment. The study employs a survey through a Qualtrics panel of 458 participants from the US with cryptocurrency investment experience. The data was collected in June 2022. Structural equation modeling (SEM) was used to construct the five-aspect model of trust in cryptocurrency investment and test the research hypotheses. This research examines technological, societal, regulatory, developers, and specifications aspects. The findings show significant positive relationships between trust and all five aspects of trust (i.e., technology, social, regulations, developers, and specifications). In addition, the multi-group analyses indicate differences between groups of education, age, gender, and amount of investment in terms of various aspects of trust. The significant differences are more evident in the aspects of regulations, social, and developer between two groups of females and males. These findings contribute to our understanding of trust in cryptocurrency investments, highlighting the importance of technology reliability, regulatory certainty, societal approval, developer transparency, and cryptocurrency specifications in establishing investor trust.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123882"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660262","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

Do you believe in the metaverse NFTs? Understanding the value proposition of NFTs in the metaverse 您相信元宇宙中的 NFT 吗？了解元宇宙中 NFT 的价值主张

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123880

Aman Kumar , Amit Shankar , Abhishek Behl , Samuel Fosso Wamba

{"title":"Do you believe in the metaverse NFTs? Understanding the value proposition of NFTs in the metaverse","authors":"Aman Kumar , Amit Shankar , Abhishek Behl , Samuel Fosso Wamba","doi":"10.1016/j.techfore.2024.123880","DOIUrl":"10.1016/j.techfore.2024.123880","url":null,"abstract":"<div><div>This study investigates consumer intention to purchase NFTs in the metaverse using the underpinnings of the theory of consumption values (TCV)<em>.</em> This study uses a sequential mixed-methods approach (qualitative + quantitative) to explore and examine the influence of consumption values on NFT purchase intentions. The findings of the qualitative study revealed five crucial consumption values (functional, emotional, experiential, altruistic, and symbolic) driving the NFT purchase intentions in the metaverse. However, the findings of the quantitative study revealed that only four consumption values i.e., emotional value, experiential value, altruistic value, and symbolic value are significantly and positively associated with NFTs purchase intention in the metaverse. Further, consumer inspiration towards NFTs significantly meditates the association between emotional value, symbolic value, and NFTs purchase intention in the metaverse. Also, trend affinity moderates the mediating effect of consumer inspiration on the relationship between emotional value, symbolic value, and NFTs purchase intention in the metaverse. This research makes a substantial contribution to the growing body of literature concerning the metaverse and NFTs. Additionally, it enhances our comprehension of consumer behaviour within the metaverse context. Also, this study provides several implications for marketers and organizations.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123880"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660264","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

The contagion effect of artificial intelligence across innovative industries: From blockchain and metaverse to cleantech and beyond 人工智能在创新产业中的传染效应：从区块链和元宇宙到清洁技术及其他

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123822

Muhammad Abubakr Naeem , Nadia Arfaoui , Larisa Yarovaya

{"title":"The contagion effect of artificial intelligence across innovative industries: From blockchain and metaverse to cleantech and beyond","authors":"Muhammad Abubakr Naeem , Nadia Arfaoui , Larisa Yarovaya","doi":"10.1016/j.techfore.2024.123822","DOIUrl":"10.1016/j.techfore.2024.123822","url":null,"abstract":"<div><div>Artificial Intelligence (AI) stands as a transformative force across business, technology, and science, yet its comprehensive impact on innovative industries remains relatively unexplored. This study delves into the interconnectedness between AI and pivotal sectors such as cryptocurrency, blockchain, metaverse, democratized banking, and Cleantech, among others. Employing the conditional autoregressive value-at-risk (CAViaR) and time-varying parameters vector autoregressions (TVP-VAR) methods, we scrutinize daily data spanning from June 1, 2018, to October 11, 2023, encompassing 12 stock indices representing each industry. Our findings unveil a strong contagion effect from AI to other innovative sectors, with the exception of Cleantech, which appears to have decoupled from the AI surge. Notably, democratized banking and the metaverse emerge as key recipients of this contagion. Examination of tail-risk spillovers highlights AI as one of the most influential risk transmitters during market tumult, while cryptocurrency and blockchain consistently function as net risk receivers throughout the sample period. The implications of these findings are multifaceted, offering substantive insights into the risk profiles of these critical innovative sectors. Investors and regulatory bodies stand to benefit significantly from this analysis, as it illuminates potential avenues for portfolio diversification and deepens understanding of contagion mechanisms within these evolving industries.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123822"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660268","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

Understanding service robot adoption and resistance from a service provider perspective 从服务提供商的角度了解服务机器人的采用和阻力

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123885

Yohan Cho, Gyu Hyun Kwon

{"title":"Understanding service robot adoption and resistance from a service provider perspective","authors":"Yohan Cho, Gyu Hyun Kwon","doi":"10.1016/j.techfore.2024.123885","DOIUrl":"10.1016/j.techfore.2024.123885","url":null,"abstract":"<div><div>With the advancement of AI technology, service robots are gradually becoming a part of our daily lives. Many existing studies have focused on the Pre-Adoption of service robots from the consumer's perspective. However, there is a lack of research from the provider's perspective, as well as studies integrating both Pre-Adoption and Post-Adoption phases. Therefore, this study aims to investigate the factors influencing service providers' Pre-Adoption and Post-Adoption of service robots, and identify the elements impeding these processes. To achieve this goal, we conducted a qualitative study based on YouTube interview videos with 31 service providers who actively use service robots in their work. The analysis of these interviews identified 18 topics, which were categorized into four dimensions: Pre-Adoption, Post-Adoption, Reasons for Adoption, and Reasons against Adoption. This categorization allowed us to understand the factors influencing adoption and resistance at each stage of the service robot adoption process. These results have significant implications for buyers and operators who want to implement service robots in practice, as well as for robot suppliers who design and develop service robots.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123885"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660261","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

Integrating big data and cloud computing into the existing system and performance impact: A case study in manufacturing 将大数据和云计算融入现有系统及其性能影响：制造业案例研究

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-16 DOI: 10.1016/j.techfore.2024.123883

Jeetendra Kumar Saraswat, Sanjay Choudhari

{"title":"Integrating big data and cloud computing into the existing system and performance impact: A case study in manufacturing","authors":"Jeetendra Kumar Saraswat, Sanjay Choudhari","doi":"10.1016/j.techfore.2024.123883","DOIUrl":"10.1016/j.techfore.2024.123883","url":null,"abstract":"<div><div>Manufacturing companies generate vast but underutilised business data in ERP systems. Valuable insights can be derived from unexplored data by using big data analytics, enabling managers to make well-informed decisions. Cloud computing, with its cost-effective resources, offers access to hosting and facilitating such access. Despite extensive literature, real-life applications illustrating how manufacturing companies can derive value from data through the integration of big data and cloud are still lacking.</div><div>This study, based on a manufacturing case study, investigates the process of integrating big data and cloud computing into the existing ERP system. It is argued in the literature that big data benefits will be limited if it is not aligned with the established culture and resources in the implementation process, known as big data capability. The paper explores the company's journey, evaluating the importance and overall development of preexisting capability during adoption. The work assesses the impact of big data on operational performance. The several insights obtained from the real-life case serve as a valuable guide for managers embarking on big data projects. The findings establish the importance of big data capability and illustrate how manufacturing companies can seamlessly integrate these technologies and improve performance without compromising existing ERP systems.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123883"},"PeriodicalIF":12.9,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660265","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

Effect of different types of knowledge intensive business services on innovation and performance 不同类型的知识密集型商业服务对创新和绩效的影响

IF 12.9 1区管理学

Technological Forecasting and Social Change Pub Date : 2024-11-15 DOI: 10.1016/j.techfore.2024.123886

Marlene Mendoza , Luis M. Molina , M. Teresa Ortega-Egea

{"title":"Effect of different types of knowledge intensive business services on innovation and performance","authors":"Marlene Mendoza , Luis M. Molina , M. Teresa Ortega-Egea","doi":"10.1016/j.techfore.2024.123886","DOIUrl":"10.1016/j.techfore.2024.123886","url":null,"abstract":"<div><div>In recent years, firms have increasingly used knowledge services provided by knowledge-intensive business services (KIBS), but evidence on their impact on customer outcomes is mixed. To explain these mixed findings, this research proposes two explanations: The mediating role of knowledge integration capability (KIC) and the differential impact of different types of KIBS. KIBS can be of different types: professional (P-KIBS), research and development (R&D-KIBS) and information and communication technology (ICT-KIBS). To test the hypotheses of the research model, data from 368 firms in a developing country (Ecuador) were collected using PLS-SEM software. The results show that the effect of KIBS use on customer performance is a more complex relationship than might be expected a priori, as it depends on several factors. First, the effect of P-KIBS on customer performance is mediated by the knowledge integration capability of the customer firm. Second, the effect of R&D-KIBS on innovation performance is direct but does not affect overall performance. Third, the results indicate that ICT-KIBS do not have a significant effect on customer performance. The analysis of these results indicates the need for further studies to understand the complexity underlying this relationship.</div></div>","PeriodicalId":48454,"journal":{"name":"Technological Forecasting and Social Change","volume":"210 ","pages":"Article 123886"},"PeriodicalIF":12.9,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142660260","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