Article
Business
Yu Ni, Peilin Du, Hui Chen
Summary: This study constructs China's blue product ecosystem, designs a framework for evaluating the resilience of blue products, and investigates the efficiency of China's sea-land industrial synergy from the perspective of resilience. The main findings suggest that land technology-related products are the supporting industry of China's blue economy, deliberately attacking blue products with strong structural functional resilience will lead to a more rapid chains broken, and the efficiency of sea-land industrial synergy decreased significantly after removing land technology-related products.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Huan Wang, Leven J. Zheng, Justin Zuopeng Zhang, Ajay Kumar, Praveen Ranjan Srivastava
Summary: This study examines the impact of acquiring complementary knowledge from cross-industry actors on breakthrough innovation in the innovation ecosystem. The results show that different combinations of conditions drive firms' breakthrough innovation. Unique complementarities require explicit knowledge and cultural similarity, while supermodular complementarity underscores the importance of tacit knowledge, trust, and tie strength.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Economics
Steffen Roth, Jari Kaivo-oja, Kristof van Assche, Harry F. Dahms
Summary: This article explores the paradoxical relationship between simulation and dissimulation, highlighting the risk of relying too heavily on simulations or confusing them with research methods, as it can promote academic or political dissimulation or immunization strategies that evade conventional control or scrutiny. Furthermore, the article argues that simulations primarily serve purposes other than advancing scientific knowledge, and suggests that experiences with simulations and simulation-based policies during the COVID-19 crisis may have undermined the broader goals of environmental research, policies, and movements.
Article
Ecology
Chiwei Xiao, Yi Wang, Mingyan Yan, Jeffrey Chiwuikem Chiaka
Summary: Regional integration initiatives, such as cross-border transportation corridors, have significant impacts on land use changes and landscape patterns. This study examines the China-Laos Railway as a case study to evaluate the extent and significance of these impacts. Using land-use data and geospatial analysis, the study quantifies and compares the effects of the railway on land use changes within a buffer zone along the corridor.
LANDSCAPE AND URBAN PLANNING
(2024)
Article
Business
Vignesh Yoganathan, Victoria-Sophie Osburg
Summary: This study addresses the lack of research on cognitive and emotional evaluations, characteristics of the service context and artificial intelligence, and heterogeneous outcomes in autonomous vehicle adoption. The CRUISE-C framework is developed to examine customer responses to unmanned intelligent transport services. Experimental studies reveal the differences in cognitive and emotional evaluations among different segments and the predictors of individuals' readiness to adopt autonomous vehicles.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Patrick van der Duin, Paul Trott, Roland Ortt
Summary: The management of technology is influenced by societal challenges and user problems. Future technology myopia, where a technology may become irrelevant by the time it is implemented, highlights the need for vigilance in analyzing the persistence of technical challenges and societal problems. Broadening technology management and analysis is relevant for addressing future societal and user problems.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Computer Science, Interdisciplinary Applications
Esteban Bopp, Johnny Douvinet, Noe Carles, Pierre Foulquier, Matthieu Peroche
Summary: This study investigates a cell broadcast trial conducted in Cannes, France, revealing the imprecision of cell broadcasting at the local level. The reception rates depend on telephone operators, and a large and irregular edge effect is observed, indicating that the message is broadcast beyond the official alert area.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Article
Business
Shichang Deng, Jingjing Zhang, Zhengnan Lin, Xiangqian Li
Summary: This study explores customer preferences for AI versus human services, influenced by insecure attachment and service context. The findings suggest that customers with traits of insecure attachment are more likely to prefer AI services in high-contact scenarios, but not in low-contact scenarios. Additionally, social anxiety mediates the relationship between insecure attachment and preference for AI services in high-contact scenarios.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Ecology
Daniele Codato, Francesca Peroni, Massimo De Marchi
Summary: This study examines climate justice in the Ecuadorian Amazon Region (EAR), highlighting the multiple injustices caused by oil extraction activities. Using spatial analysis, the study shows that the EAR has been a major producer of oil since 1972, leading to environmental impacts such as oil spills and pollution. The results emphasize the need to include these territories in climate justice discussions and promote the rights to a non-toxic environment.
LANDSCAPE AND URBAN PLANNING
(2024)
Article
Ecology
Jingli Yan, Wendy Y. Chen, Zixiao Zhang, Wenxing Zhao, Min Liu, Shan Yin
Summary: Vegetation barriers are an effective strategy in urban planning to mitigate traffic-induced air pollution and reduce exposure. This study uses field measurements and numerical modeling to show that constructing vegetation barriers with short bushes can effectively reduce PM2.5 pollution in open-road environments, while higher coverage of tall bushes may worsen the pollution.
LANDSCAPE AND URBAN PLANNING
(2024)
Article
Ecology
Di Chen, Jie Yin, Chia-Pin Yu, Shengjing Sun, Charlotte Gabel, John D. Spengler
Summary: Observational and experimental studies have shown that exposure to greenness is beneficial for long-term health and well-being. However, more evidence is needed regarding the short-term health impacts of nearby nature in urban areas. This study used immersive virtual reality technology to investigate how transitions between built and natural environments affect urban residents. Results showed that transitioning from built to natural environments led to reductions in negative mood and transient anxiety, while transitions from natural to built environments had the opposite effect. Additionally, participants showed more emotional responses to nature through physiological measures. The study also highlighted the influence of contextual factors, such as physical health conditions, stress levels, experience with nature, and growth environments, on stress recovery. Overall, this study provides empirical evidence supporting the promotion of nearby nature in urban built environments.
LANDSCAPE AND URBAN PLANNING
(2024)
Article
Business
Maria Eugenia Rodriguez-Lopez, Elena Higueras-Castillo, Alvaro J. Rojas-Lamorena, Juan Miguel Alcantara-Pilar
Summary: This study applied the Technology Acceptance Model to forecast the adoption intention of shoppable TV, finding that shopping enjoyment plays a significant role in shaping attitudes and increasing the intention to use this technology.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Sabri Boubaker, Sitara Karim, Muhammad Abubakr Naeem, Molla Ramizur Rahman
Summary: The role of big data in finance is crucial, especially in predicting stock prices, reducing risk, and evaluating market anomalies. This study estimates the systemic risk tolerance of twenty-five high-valued cryptocurrencies and finds valuable insights. It also develops a predictive model that can assist investors and market participants in adapting to market fluctuations.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Ugur Korkut Pata, Mustafa Tevfik Kartal, Shahriyar Mukhtarov
Summary: This study examines the effects of environmental patents, human capital, and income on carbon emissions in Germany, France, and the Netherlands. The results show that environmental patents and human capital play a positive role in reducing carbon emissions in these European Union countries, but the impact varies.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Yi Yang, Huan Qin
Summary: The article examines the issue of unbalanced regional development and carbon peak in China, and analyzes the factors influencing the dynamic path of carbon decoupling. The results indicate that only Beijing has reached the carbon peak state of G7 countries, and only a few provinces have evolved along the strong decoupling path. In China, the intensity reduction rate, the growth rate of marketization index, and foreign direct investment play an increasingly important role in reaching the carbon peak. Regional heterogeneity also affects the influence of factors, with variations in regression coefficients across different regions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Francesco Scalamonti
Summary: This article analyzes the recent empirical literature from 2020 to 2022 on the relationship between foreign investments and growth in developing and emerging economies. It aims to provide researchers, academics, and practitioners with insights into the state of art in this field and to contribute to future research agendas. The analysis suggests that the effectiveness of foreign investments in stimulating growth in underdeveloped countries depends on the institutional and business environment. Sound governance and addressing technological gaps are crucial drivers for development.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Nidhi Singh, Monika Jain, Muhammad Mustafa Kamal, Rahul Bodhi, Bhumika Gupta
Summary: AI is transforming the healthcare system with innovations in diagnosis, drug research, and medical treatments. However, concerns and dilemmas related to data misuse, AI efficiency, user resistance, investment costs, and funding issues have been raised. This study explores the technological paradoxes associated with AI adoption in healthcare using paradox theory and investigates medical practitioners' views on using AI services. The study analyzes the efficacy and limitations of AI services, identifies ethical dilemmas faced by practitioners, and suggests strategies for adoption. Primary drivers identified include ease of use, automation efficacy, diagnostic accuracy, and cost efficiency. Concerns such as lack of training, cultural considerations, privacy issues, and work insecurity are highlighted. The study contributes to the existing literature on paradox theory and AI, highlighting under-discussed areas, drivers, and barriers of AI adoption in healthcare.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Abdullah M. Baabdullah
Summary: This study empirically examines the influence of various factors related to the content quality of generative conversational AI agents on decision-making efficiency and organizational innovation performance. The results show that information quality, novelty seeking, and ethical concerns significantly impact decision-making efficiency. Additionally, decision-making efficiency has a significant positive impact on innovation performance. This study makes a significant contribution to expanding the understanding and effective use of generative conversational AI agents in managerial practices.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Sanne Bor, Gregory O'Shea, Henri Hakala
Summary: This study examines the strategic actions taken by food companies to drive sustainability through innovations in packaging industry, highlighting their key role in scaling sustainable technologies by creating a demand for packaging innovation. The findings suggest that incumbent firms may not only protect their competitiveness, but also play a central role in scaling sustainable technologies by driving innovation demand. The study also sheds light on how policy pressures in one socio-technical system can influence and scale sustainable technologies in a connected system through the supply chain.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Review
Business
Jong Min Kim, Keeyeon Ki-cheon Park, Marcello Mariani, Samuel Fosso Wamba
Summary: This study investigates the differences between fake and authentic online reviews using interpersonal deception theory and topic modeling techniques. The findings reveal that manipulators tend to write reviews recommending specific movies, while authentic reviewers provide movie content information. The study also shows that manipulation occurs in the early stages of product diffusion and contributes to increasing review ratings. Furthermore, manipulated/fake reviews are more informative and positive.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
