样式: 排序: IF: - GO 导出 标记为已读
-
Assessing future potentiality of technologies from the perspective of “imaginary future generations” – A case study of hydrothermal technology Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-29 Keishiro Hara, Iori Miura, Masanori Suzuki, Toshihiro Tanaka
To guide technological innovation for sustainability, it is essential to develop a methodology for assessing the future potentiality of a technology from a long-term perspective. In this study, we propose an innovative method for assessing the future potentiality of technology from the perspective of imaginary future generations (IFGs) using a case study of hydrothermal technology and verify the effectiveness
-
Transdisciplinary knowledge integration – PART I: Theoretical foundations and an organizational structure Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-29 Roland W. Scholz, Jana Zscheischler, Heike Köckler, Reiner Czichos, Klaus-Markus Hofmann, Cornelia Sindermann
Transdisciplinary processes deal with transdisciplinary problems that are (i) complex, (ii) societally relevant, (iii) ill-defined, and (iv) real-world problems which often show a high degree of ambiguity resulting in contested perceptions and evaluations among and between scientists and practitioners. Therefore, they are susceptible to multiple trade-offs. Transdisciplinary processes construct socially
-
Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-27 Helmi Issa, Jad Jaber, Hussein Lakkis
The adoption of AI-powered systems in healthcare has revolutionized the field by introducing autonomous diagnostics and predictions, though it remains a source of debate due to its disruptive nature. This research utilizes the holistic model of stress to empirically examine the effects of six techno-stressors on both techno-eustress and techno-distress among users in the healthcare sector. Data for
-
How business model innovation facilitates microcredit in balancing social mission with commercial performance - evidence from local commercial banks Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-26 Minju Chen, Chengbin Wang
Microcredit institutions are facing commercialization transformation, and how they can balance their social mission with operational performance is a focus of research in both industry and academia. This study, based on grounded theory and the iterative canvas theory framework of business models, conducts a multi-case study of three local commercial banks in Taizhou, exploring the inherent logic of
-
A neural network-based predictive decision model for customer retention in the telecommunication sector Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-26 Rahul Thangeda, Niraj Kumar, Ritanjali Majhi
Acquiring a new customer is far more expensive than retaining a customer. Hence, customer retention is a key aspect of business for a firm to maintain and improve on its market share and profit. The paper analyses customer retention strategies by employing an artificial neural network-based decision model to a real-life dataset collected from 311 mobile service users in India. Seven linear and non-linear
-
Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-26 Guochang Fang, Meng Huang, Wenbin Zhang, Lixin Tian
This paper explores the global embodied carbon emissions transfer network. To clarify the carbon emissions reduction responsibilities of each country globally, a complex interdependent network structure based on the 2016 World Multi-Regional Input-Output (MRIO) table and the transfer of production factors between industries is constructed. Using input-output and social network analyses, the structural
-
Dynamics of related and unrelated digital diversification in established firms: Strategies, programs, process, and outcomes Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-24 Martin Andreasson, Solmaz Filiz Karabag, Johan Simonsson, Girish Agarwal
Research on digital transformation focuses on business models and technological innovation but it often lacks a detailed exploration of how firms develop, execute, and evaluate related and unrelated digital diversification strategies. To address this gap, this study employs a multiple case study approach to uncover the varied processes and outcomes of implementing digital diversification programs in
-
Energy poverty and gender equality in education: Unpacking the transmission channels Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-23 Alex O. Acheampong, Eric Evans Osei Opoku, Afua Amankwaa, Janet Dzator
Access to energy is widely known to promote socio-economic development; however, the linkage between access to energy and gender equality in education and the channels through which energy poverty affects gender equality in education is not explored much in the empirical literature. We, therefore, examine whether access to electricity and clean cooking fuels and technologies contribute to gender equality
-
Navigating toward the promised land of digitalization and sustainability convergence Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-23 Jesús Valero-Gil, Inés Suárez-Perales, Concepción Garcés-Ayerbe, Pilar Rivera-Torres
In recent years, companies have updated their strategic goals, adding the goal of digitalization to the already commonly accepted goal of sustainability. The convergence between these two strategic goals, digitalization, and sustainability (DS) convergence, is the complete and conjoint attention to both strategic goals. This paper analyzes this phenomenon in depth by studying the implementation of
-
Designing a digital citizen-centered service Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-22 Catherine Equey, Athanasios Priftis, Jean-Philippe Trabichet, Vanissla Hutzli
In this article, we described the framework, methodologies and stakeholders' inclusion methods that should be applied to design a social and digital service. Based on the literature review, we compared existing theoretical models to an ongoing development of a social innovation aiming to improve the current elderly-benefit statement process through citizen-driven digitalization. Theoretical concepts
-
Can graphene fuel a transformative change in energy storage technologies? A scenario analysis for the next two decades Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-22 Ali Haidar, José Guimón, Ido Alon
In this article, we explore the transformative potential of graphene in electrochemical energy technologies over the next two decades. Using a two-round Delphi survey and 28 expert interviews, we construct three distinct evolutionary scenarios: 1) : graphene has made notable technical advancements, but its transformative potential is limited to “nice-to-have” functionalities, 2) : graphene's technical
-
Digital skills at work – Conceptual development and empirical validation of a measurement scale Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-22 Bertrand Audrin, Catherine Audrin, Xavier Salamin
In today's increasingly digitalized work environments, the need for digital skills is on the rise. Surprisingly, current frameworks of digital skills fail to specifically address the identification and measurement of digital skills in the workplace. The objective of this research is thus to develop a framework and a validated scale for digital skills at work. To do so, we employ a multi-step process
-
Industrial innovation processes and societal challenges: How Telenor's mobile phone data became a tool for fighting pandemics Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-21 Magnus Gulbrandsen, Erlend Osland Simensen
Processes of innovation and scientific breakthroughs are not linear, and their outcomes are notoriously difficult to predefine. This paper contributes with an inductive longitudinal case study of how industrial R&D and innovation activities in a multinational telecom firm contributed to tracking the spread of Covid-19, a societal challenge unrelated to the starting point of the firm's relevant R&D
-
From business models for public actors to public service provision models: Extending the business model concept to the public sector Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-21 Selina Lorenz, Barbara Heigl, Maximilian Palmié, Pejvak Oghazi
Every organization, knowingly or unknowingly, operates a business model. However, while private actors frequently make use of the business model concept to actively manage their service provision, public organizations struggle with adopting it. This has led to a separate literature stream in which public management scholars developed public sector adaptations of the business model concept. As the business
-
Understanding users' protective behavior and its suppressor effect on the perceived risk in M-wallet/banking use: An Indian urban-rural comparison Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-19 Vikas Chauhan
Mobile wallet/banking allows users to handle their finances on the go and defines the future of financial services. Nevertheless, as the incidence of cyber threats continues to increase, there is a corresponding increase in users' perceptions of risk. Therefore, to address risk perceptions, it is imperative to investigate and understand the protective behavior of users in this domain. However, the
-
Ecological impact assessment of green technological innovation under different thresholds of human capital in G20 countries Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-17 Abdulaziz Abdulmohsen Alfalih, Tarek Bel Hadj
Under the globalized situation of environmental damage, increasing scarcity of resources, and uncertainty about their costs, challenges have been imposed for the saving of energy and inputs used, the transition to green energy and pollution reduction. Green innovation can be assimilated as a radical solution to meet these challenges and make the production process greener. The present study aims at
-
Determinants of carbon emissions cycles in the G7 countries Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-15 Xiuhua Zhang, Chi Keung Marco Lau, Ruoyao Li, Yihan Wang, Roseline Wanjiru, Neelu Seetaram
This paper investigates the relationships between economic growth, energy consumption, exports, tourism, geopolitical risk, and carbon dioxide (hereafter cited as “CO”) emissions in Group of Seven (hereafter cited as “G7”) countries from 1990 to 2021. Cross-sectional correlation tests, unit root tests, cointegration analysis, regression analysis, panel data estimation, and Granger causality tests are
-
ENvironmental Success under Uncertainty and Risk (ENSURe): A procedure for probability evaluation in ex-ante LCA Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-15 Pierre Jouannais, Carlos Felipe Blanco, Massimo Pizzol
In a context of ecological emergency, ex-ante Life Cycle Assessment (LCA) can be used to prioritize investments into technological concepts that are expected to make human activities less damaging to ecosystems and humans. Yet forecasts about the future environmental success of technological concepts come with high incertitude and require careful appraisal of the distinct levels of knowledge associated
-
Frameworks for multi-system innovation analysis from a sociotechnical perspective: A systematic literature review Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-15 Jerico Bakhuis, Linda Manon Kamp, Natalia Barbour, Émile Jean Louis Chappin
This paper systematically reviews the literature on sociotechnical multi-system innovation frameworks that broaden the usual focus on one sociotechnical system to encompass influences from multiple systems. The review includes 75 peer-reviewed papers that span a broad range of energy-demanding systems and mainly build upon the core frameworks of the Multi-level Perspective (MLP) and Technological Innovation
-
An intelligent decision support system for warranty claims forecasting: Merits of social media and quality function deployment Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-15 Ali Nikseresht, Sajjad Shokouhyar, Erfan Babaee Tirkolaee, Ethan Nikookar, Sina Shokoohyar
This work develops a novel approach based on Machine Learning (ML)-assisted Quality Function Deployment (QFD) to sift the gold from the stone. It includes Time-Varying Filter-based Empirical Mode Decomposition (TVF-EMD), Deep Ensemble Random Vector Functional Link (DE-RVFL), and a Bayesian optimization algorithm for optimizing the shaped DE-RVFLTVF-EMD hyperparameters. This approach makes it possible
-
A contingency-based approach to service robot design: Role of robot capabilities and personalities Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-14 M.S. Balaji, Priyanka Sharma, Yangyang Jiang, Xiya Zhang, Steven T. Walsh, Abhishek Behl, Kokil Jain
The rise of service robots is changing how products and services are delivered, significantly affecting customer outcomes. However, research has yet to specifically examine how the design of a service robot to specific service contexts influences customer engagement and value co-creation. Our study adopts a contingency perspective to investigate how the design of robot capabilities and personalities
-
Big Data and the disillusioned employee: Inside the ethical Internet of Things Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-13 Brandon Randolph-Seng, Yasemin Atinc, Son Bui, Zaki Malik
Past research and theory on a company's handling of big data has focused either on the external stakeholder side or corporate ends for internal stakeholders. In this paper we present a new theoretical model that extends previous theory and research done in the area of big data, ethics and external stakeholders (i.e., customers) to the realm of internal stakeholder perceptions (i.e., employees). We
-
Drivers of employment dynamics of AI innovators Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-13 Giacomo Damioli, Vincent Van Roy, Dániel Vértesy, Marco Vivarelli
Based on an analysis of companies developing artificial intelligence (AI) technologies, this study offers fresh evidence on the role of innovation as one of the drivers of employment growth. GMM-SYS estimates on a worldwide longitudinal dataset covering 4,184 firms that patented inventions involving AI technologies between 2000 and 2016 show a positive and significant impact of AI patent families on
-
Predicting M&A targets using news sentiment and topic detection Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-13 Petr Hajek, Roberto Henriques
This paper uses news sentiment and topics to discuss the challenges and opportunities of predicting mergers and acquisition (M&A) targets. We explore the effect of investor sentiment on identifying M&As targets and how company-specific news articles can be used as a source of sentiment and topics to obtain richer information on various corporate events. We propose a framework incorporating news sentiment
-
Micro open innovation dynamics under inter-rationality Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-12 JinHyo Joseph Yun, Xiaofei Zhao, Euiseob Jeong, Heungju Ahn, KyungBae Park
The research question is “How does the micro open innovation dynamics appear ?”, and the answer is needed which will guide a firm to choose open innovation strategies in reality. This study conducted the modeling and simulating micro open innovation dynamics of firms to answer. This study built 8 conceptual models of micro open innovation dynamics. These models could meet diverse cases on open innovation
-
Social innovations mediate technology and economy in the Kondratieff waves Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-10 Mei-Chih Hu, Fred Phillips, Ching-Yan Wu
Technological advances enable new ways of economic organization and social benefit. Examining relevant history back to 1642, we find that social innovations are necessary mediators between technological advance and economic expansion – and that modes of communication and coordination have long been ignored in the study of economic waves. Accordingly, we perceive the Internet-of-Things as a powerful
-
Identifying pharmaceutical technology opportunities from the perspective of adverse drug reactions: Machine learning in multilayer networks Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-10 Weiyu Zhao, Lijie Feng, Yicheng Feng, Jinfeng Wang, Kuo-Yi Lin, Yanan Guo
Identifying pharmaceutical technology opportunities can help guide drug innovation effectively and reduce the failure rate of pharmaceutical research and development (R&D) activities. Multiple factors are neatly associated with pharmaceutical R&D activities. Adverse drug reaction (ADR) is one of the main reasons for drug R&D failure. However, the current technology opportunities identification (TOI)
-
How does digital enablement affect product customization? The roles of innovation capability and network embeddedness Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-09 Yihua Chen, Shiteng Yang, Zhengang Zhang, He Shen
Product customization has become increasingly important in satisfying the personalized needs of customers. In parallel, digital technology has widely permeated this transformation, and its positive effects on improving the efficiency and adaptability of customization are suggested by the limited literature. However, how digital technology enables customization needs further examination. Leveraging
-
Artificial intelligence adoption in a professional service industry: A multiple case study Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-09 Jiaqi Yang, Yvette Blount, Alireza Amrollahi
This study explores the factors influencing AI adoption in professional service firms. Grounded in the Technological-Organizational-Environmental (TOE) framework, we employed a qualitative, multiple case study approach, investigating three auditing firms of varying sizes through interviews and secondary document reviews. Our findings reveal six factors influencing AI adoption, including technology
-
Will artificial intelligence drive the advancements in higher education? A tri-phased exploration Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-09 Satish Kumar, Purnima Rao, Shubham Singhania, Shubhangi Verma, Myra Kheterpal
This study explores the impact and potential of generative AI, specifically Open AI's ChatGPT, on the transformation of higher education, particularly in the domain of business education. Adopting a qualitative mixed-methods research strategy, this study employs a three-phased methodology consisting of a systematic literature review, semi-structured interviews with academics, and text analysis of opinion
-
The impact of healthcare 4.0 technologies on healthcare supply chain performance: Extending the organizational information processing theory Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-07 Esha Saha, Pradeep Rathore
Increasing supply chain performance in an uncertain environment is a challenge for every industry, predominantly, healthcare sector. To address such issues, there is an urgent need for healthcare organizations like hospitals to build new capabilities. We suggest using organizational information processing theory (OIPT) as theoretical foundation for developing research model that investigates how healthcare
-
Determinants of cryptocurrency and decentralized finance adoption - A configurational exploration Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-06 Linh Thi My Nguyen, Phong Thanh Nguyen
Over the past three decades, scholars have studied technology adoption and its determinants in many contexts. Nevertheless, this literature has remained silent in understanding the complex interdependency among these determinants and how such interdependency determines technology adoption. In this paper, we build on previous research to focus on the technological, social, economic, cultural, and political
-
Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-06 Mark Anthony Camilleri
Few studies have explored the use of artificial intelligence-enabled (AI-enabled) large language models (LLMs). This research addresses this knowledge gap. It investigates perceptions and intentional behaviors to utilize AI dialogue systems like Chat Generative Pre-Trained Transformer (ChatGPT). A survey questionnaire comprising measures from key information technology adoption models, was used to
-
Fostering long-term commitment in the sharing economy: Strategies formulated through mixed methods research design Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-06 Fatmah Mohammed H. Alatawi, Jawaher Abdulrahman Alomar, Janarthanan Balakrishnan
The extensive partner network associated with the sharing economy brands has given the business models a new identity. Given the growth of this business model, the factors driving long-term associations with these brands need exploration. This research uses a mixed-method research design to explore the critical factors underlying sustainable brand commitment in sharing economy models (study 1) using
-
Global value chains and regional systems of innovation: Towards a critical juncture? Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-06 Bruno Fischer, Dirk Meissner, Ron Boschma, Nicholas Vonortas
Over recent years, the world has witnessed unexpected challenges - including the COVID-19 pandemic and significant geopolitical tensions. These events have had substantial impacts on both Global Value Chains and Regional Innovation Systems – two complementary analytical scopes that compose the complex geography of innovation. This has led governments to take drastic measures on different fronts and
-
Investigating the impact of consumer environmental consciousness on food supply chain: The case of plant-based meat alternatives Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-05 Shinsiong Pang, Mu-Chen Chen
With plant-based meat increasing in popularity, this study intends to analyze the challenges of popularizing plant-based meat alternatives (PBMAs) and investigate the incentives to enhance future consumption. We investigate a PBMAs producer's distribution channel selection strategies of direct-sell-to-consumer (DSTC) and indirect-sell-to-consumer (Non-DSTC), as well as the decisions for wholesale price
-
The role of research funders in providing directions for managing responsible internationalization and research security Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-03 Tommy Shih
Abstract not available
-
Application of UTAUT2 on Adopting Artificial Intelligence Powered Lead Management System (AI-LMS) in passenger car sales Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-02 Sougato Das, Biplab Datta
This paper investigates the acceptance of the AI-Powered Lead Management System (AI-LMS) in a passenger car dealership. The study was conducted using a questionnaire, and the respondents were the sales advisors of the dealerships. The UTUAT or “Unified Theory of Acceptance and Use of Technology” is used to investigate the impact of “Habit, Hedonic Motivation, Facilitating Conditions, Social Influence
-
Out of the way, human! Understanding post-adoption of last-mile delivery robots Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-02 Xin-Jean Lim, Jennifer Yee-Shan Chang, Jun-Hwa Cheah, Weng Marc Lim, Sascha Kraus, Marina Dabić
The pace of technological development is exceeding expectations and transforming the landscape of last-mile delivery. This study investigates how users' post-adoption behavior in using delivery robots is formed. Based on the task-technology fit (TTF) model, we present a research model that includes both direct and indirect factors that have been previously overlooked in the literature. We collected
-
Addressing challenges of digital transformation with modified blockchain Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-02-02 Gajendra Liyanaarachchi, Giampaolo Viglia, Fidan Kurtaliqi
This conceptual paper challenges the notion that the enhanced data security of blockchain results in superior privacy. Blockchain's fundamental characteristics - immutability, decentralization, and transparency - promote an excessive reliance on historical data. This reliance, in turn, leads to inaccurate predictions and misguides consumer privacy preferences. The paper contends that this stern protection
-
An integrated MCDM-ML approach for predicting the carbon neutrality index in manufacturing supply chains Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-29 Vishwas Dohale, Sachin Kamble, Priya Ambilkar, Stefan Gold, Amine Belhadi
Organizations across the globe are devising novel approaches to strive for carbon neutrality. Global institutions have manifested the critical need to develop reasonable strategies in every sector to mitigate the impending issues of excessive anthropogenic carbon emission and, in consequence, climate change. World‑leading economies have initiated significant steps by developing zero‑carbon emission
-
Tracing non-linearity in the relationship of economic freedom and national health innovation system efficiency Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-30 Marie Gabel, Christopher Jung, Stephan Nüesch
Economic freedom, the freedom of companies to pursue business activities, is a vital determinant of societal health, wealth, and economic progress. Despite the high societal and economic relevance of health innovation, the relationship between economic freedom and the performance of national health innovation systems (NHIS) is poorly understood. Previous studies show that economic freedom is beneficial
-
An exploratory study of breakthrough innovations in digital businesses: The case of the Perfect Corporation Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-31 Feng-Shang Wu, Chia-Chang Tsai, Chien-Hsin Wu, Ting-Hsuan Lo
Developing successful breakthrough innovations is a challenge for industrial firms due to the high degree of uncertainty and complexity involved. This difficulty is heightened by the rapid development of information and communication technologies, which has disrupted many traditional industries and has forced companies to adopt more radical approaches to innovation. To investigate the role of technological
-
Sustainability and Industry 4.0: The role of social, environmental and technological factors in the development of digital manufacturing Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-25 Sachin Kumar Mangla, Sunil Luthra, Jose Arturo Garza-Reyes, Charbel Jose Chiappetta Jabbour, Alexander Brem
Sustainability and Industry 4.0 have been emerging topics in recent years, in theory as well as in practice. Related technological topics like 5G technology, blockchain, artificial intelligence and digital twins among others, are gaining importance. In addition, these themes are becoming increasingly merged with a discussion on I4.0 from societal and organizational perspectives. As a background to
-
From theory to practice: Empirical perspectives on the metaverse's potential Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-26 Ava Hajian, Setareh Daneshgar, Kiarash Sadeghi R., Divesh Ojha, Gagan Katiyar
Metaverse, built on blockchain technology and artificial intelligence, involves virtual, extended, and augmented realities. Metaverse is a disruptive emerging technology that is still in its early stages. There needs to be more empirical research on the metaverse, making it difficult to fully understand its potential and guide future investigations. Therefore, this paper aims to address this gap by
-
Technology married to good governance and diversity: Explaining e-participation preparedness in government Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-22 Seulki Lee-Geiller
Enabling citizen participation using governmental online platforms, namely, e-participation, has emerged as an innovative mode of open and collaborative governance. Previous studies have emphasized technological conditions to explain the varying availability of e-participation tools on government websites among countries. However, the United Nations' E-Participation Index has identified a mismatch
-
A configurational perspective for the generalisation of healthcare innovations: The case of a new screening programme Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-23 José Coelho Rodrigues, Ana Cristina Barros, João Claro
This paper analyses the process of generalisation of an innovative government-led public practice in the healthcare sector. The scaling and embedding involved in this generalisation process are assumed to be dependent on the multiple implementation processes (consecutive or simultaneous) that lead to a routine use of the innovation in different adopters. This paper, therefore, proposes the use of a
-
Where is the deep sustainability turn most likely to emerge? An Industrial Modernity Index Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-25 Anna-Kati Pahker, Laur Kanger, Peeter Tinits
The current interlinked and escalating socio-ecological crises have necessitated a deep sustainability turn, requiring the rethinking of many currently taken-for-granted assumptions, norms, and practices related to the natural environment, science, and technology. This challenge raises the question of where a shift of such magnitude is more likely to occur. This paper addresses this question by developing
-
International industrial manufacturers: Mastering the era of digital innovation and circular economy Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-25 Pejvak Oghazi, Rana Mostaghel, Magnus Hultman
The business landscape has significantly changed in the last few years due to unforeseen incidents such as the recent pandemic and war in Europe. While such incidents have interrupted or even impaired economies and businesses, they have also accelerated digitalization. Parallel to this, many countries have started moving towards sustainability and realized the importance of circularity on a large scale
-
Corrigendum to “Institutional investors ownership concentration and its effect on disclosure and transparency of United Nations sustainable development goals” [Technol. Forecast. Soc. Change, 200 (March 2024), 123132*] Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-23 Daniele Giordino, Fauzia Jabeen, Niccolò Nirino, Stefano Bresciani
Abstract not available
-
Scope and limits of AI fundraisers: Moderated serial multiple mediation model between artificial emotions and willingness to donate via humanness and empathy Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-22 Gain Park, Jiyun Chung, Seyoung Lee
Charitable organizations are experiencing a global labor shortage. Artificial intelligence (AI) chatbots have been employed to help combat the shortage, however, the scope and limits of AI fundraisers are still unclear, calling for further investigation. To improve our understanding of AI fundraisers, this study recruited 654 adults from an online crowdsourcing platform and developed six chatbot agents
-
Exploring the development trajectory of decent work literature: An empowerment perspective Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-23 Ying-Jung Yeh, I-Ying Wang
The eighth United Nations Sustainable Development Goal (SDG) underscores the need to encourage inclusive and sustainable economic growth, while advancing full employment and ensuring decent work for all. This increased emphasis on decent work has garnered heightened attention from international organizations and businesses. Significantly, as laws pertaining to workers' rights and labor matters have
-
-
Product development strategies of electric vehicle manufacturers: Considering government subsidy and consumers' environmental preferences Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-17 Jing Liu, Jiajia Nie, Wenjie Zhang, Lingyue Li, Hongping Yuan
Governments worldwide have promulgated greenness-based electric vehicle subsidy (GEVS) policies to encourage electric vehicle (EV) manufacturers to develop products with higher greenness (i.e., energy saving and emission reduction performance). Normally a GEVS policy would set a subsidy threshold to ensure that only EVs whose greenness meets the subsidy threshold requirement receive the subsidy. By
-
Achieving social performance through digitalization and supply chain resilience in the COVID-19 disruption era: An empirical examination based on a stakeholder dynamic capabilities view Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-18 Jamal El Baz, Salomée Ruel
This research investigates the influence of digitalization on supply chain resilience (SCR) as well as the effects of SCR on social performance (SP). The paper also investigates the moderating role of COVID-19 disruption intensity. Stakeholder dynamic capabilities view (SDCV) theory is the theoretical background that anchors this article. The empirical investigation adopted a quantitatively based survey
-
Citations or dollars? Early signals of a firm’s research success Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-19 Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü, Lorenzo Napolitano, Emanuele Pugliese, Andrea Zaccaria
Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. The early identification of the future performance of innovation players is a relevant goal for policymakers and practitioners. In this work, we investigate how the future trajectory of a firm can be predicted by the economic or technological value of its early
-
How does big data affect organizational financial performance in turbulent markets? The role of customer-linking and selling capabilities Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-20 Omar S. Itani, Ashish Kalra, Amin Rostami
The information age provides vast opportunities for organizations to improve their efficiencies by relying on big data-AI empowered analytics (BDA). The purpose of this study is to address the critical question of how BDA-fit affects organizational financial performance, taking into consideration differences between markets and customer change caused by technology turbulence. Using data collected at
-
Successful establishment of innovation systems for low visibility breakthrough innovations: The role of system builders, proximal institution and legitimacy Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-20 Abby Ghobadian, Irene Talavera, Stefano Bresciani, Ciro Troise
Technological innovations system (TIS) is used widely in the study of development and diffusion of breakthrough innovation (BTI), particularly in the field of sustainable technologies. The current scholarship does not clearly address the critical first step namely the establishment of the system where no functioning TIS is in existence; hence, it is incomplete. Literature also alludes to the important
-
Enhancing SME innovation across European regions: Success factors in EU-funded open innovation networks Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-16 Cristina Marullo, Philip Shapira, Alberto Di Minin
This study examines the funding allocations to Open Innovation (OI) networks involving small and mid-size enterprises (SMEs) and other organizational actors by the European Union's Horizon 2020 Fast Track to Innovation program (2018–2021). Using a unique dataset of program application information at the participant level, the technological, organizational and locational characteristics of SMEs' OI
-
Developing strategies to retain organizational insurers using a clustering technique: Evidence from the insurance industry Technological Forecasting and Social Change (IF 12.0) Pub Date : 2024-01-16 Kambiz Shahroodi, Soroush Avakh Darestani, Samaneh Soltani, Adeleh Eisazadeh Saravani
Formulating strategies to maintain policyholders is one of the main challenges for most insurance companies in Iran. The purpose of this article is to help marketing strategists of insurance companies predict insurees' churn and develop insurees retention strategies. Since the cost of maintaining an insurance policyholder is approximately one-eighth of the cost of attracting new ones, predicting their