Article
Business
Andrew Adewale Alola, Jaana Rahko
Summary: This study examines the impact of climate change technologies on greenhouse gas emissions in the industrial and energy sectors of Nordic countries. The results show that both domestically developed environmental technologies and technology spillovers from foreign economies help mitigate emissions, particularly in the industrial sector. Economic growth also plays a vital role in emissions.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Sean Kruger, Adriana Aletta Steyn
Summary: The purpose of this study is to explore how innovation mechanisms can be employed to foster stronger innovation capabilities within a university ecosystem, particularly in the African context. Using a case study methodology, the research findings reveal that innovation mechanisms such as makerspaces within universities provide critical support for innovation and collaboration.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Mauro Capestro, Cristian Rizzo, Tomas Kliestik, Alessandro M. Peluso, Giovanni Pino
Summary: Changes in the global market have brought challenges for industrial districts and increased competition. Adopting information and digital technologies has become crucial for district firms to innovate and effectively manage relationships and gain competitive advantage. This study investigates the path for technology adoption by examining how trust and knowledge sharing influence the factors determining digital technology adoption.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Libo Li, Huan Yu, Martin Kunc
Summary: Open innovation in data science often involves public competitions where teams compete and collaborate by exchanging messages and solutions. This study introduces a novel research framework that combines system dynamics and structural topic modeling to analyze the impact of team behavior on performance in Kaggle's competition. The results identify four team behavior categories and highlight the positive and significant factors that affect team performance.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Computer Science, Interdisciplinary Applications
Ting Lian, Becky P. Y. Loo, Zhuangyuan Fan
Summary: This study proposes a new method for estimating pedestrian volume using bus dashcam videos and deep learning methods. The results show that pedestrian volumes calculated from these videos have better performance in explaining crash frequency compared to alternative measures.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2024)
Article
Ecology
Timothy Fraser, Olivia Feeley, Andres Ridge, Ava Cervini, Vincent Rago, Kelly Gilmore, Gianna Worthington, Ilana Berliavsky
Summary: This study examines the inequality of social infrastructure in Boston, finding significant racial and income disparities in access. These disparities have implications for the health and resilience of neighborhoods.
LANDSCAPE AND URBAN PLANNING
(2024)
Article
Business
Youngju Kim, Bumsoo Kim
Summary: Despite the frequent mentions, there has been little systematic research on the conception of the metaverse in peer-reviewed articles, news reports, and individual expressions. This study examines the aggregate perceptions and knowledge of various audiences and identifies differences and commonalities in how the metaverse is described across different sources.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Saeed Badghish, Aqueeb Sohail Shaik, Nidhi Sahore, Shalini Srivastava, Ayesha Masood
Summary: This study examines the possibility of transactional use of AI-controlled voice assistants for service delivery to accelerate in the future, based on the social learning theory. The findings suggest that the perceived usefulness, technological attractiveness, and technological trust of AI voice assistants can all impact their transactional use for service delivery, with behavioral intention as a mediator. The study also highlights the importance of customer churn and social resistance in influencing customers' attitudes and willingness to adopt the technology.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Olatunji A. Shobande, Lawrence Ogbeifun, Aviral Kumar Tiwari
Summary: This study examines the role of Information Technological Infrastructure (ITI) in promoting climate resilience and environmental quality in OECD countries. The findings suggest that ITI and renewable energy significantly mitigate carbon emissions and contribute to achieving a net-zero target, while economic growth and non-renewable energy usage harm the environment. The study also reveals the heterogeneity in the covariates on the conditional distribution of environmental quality and its driven factors.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Development Studies
Mingjie Dai, Shenjing He
Summary: This research reveals the domino effects of social capital in mediating the relationship between social mix and residents' wellbeing in urban China. It shows that the trigger point of these effects is the occurrence of public familiarity. However, due to socioeconomic disparity, the effects halt at certain forms, which are particularly beneficial for life chances.
HABITAT INTERNATIONAL
(2024)
Article
Business
Sawan Rathi, Adrija Majumdar, Chirantan Chatterjee
Summary: The application of artificial intelligence (AI) in pharmaceutical innovation has increased during the COVID-19 pandemic, leading to improved efficiency in the industry.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Qi Yao, Chao Hu, Wenkai Zhou
Summary: This research examines the interaction effect of customer privacy concerns and service type on the willingness to adopt service robots, and finds that customers with high privacy concerns are less willing to use service robots in credence services.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Mustapha Cheikh-Ammar
Summary: This investigation proposes a theory of IT desirability to explain the human experience of IT in today's highly digitized world. The theory takes into account the actions that IT artifacts enable and the tasks that users want to perform, as well as the users' personal values and what the artifact represents for them. The concept of Person-IT Fit is introduced to conceptualize the match between a person's values and the spirit of an IT artifact. The study illustrates the connections between Person-IT Fit and IT Desirability, user behavior, and reasoned appraisals of IT through empirical studies.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Geography
Reward Utete, Sheunesu Zhou
Summary: Rural entrepreneurs play a critical role in the development of rural economy, but the recent COVID-19 pandemic has caused significant disruptions to their activities. The lack of comprehensive research on the challenges faced by rural entrepreneurs during and after the pandemic creates an opportunity for this study to explore the specific constraints in the South African context. The findings of this study are valuable for management, policy-making, and the development of adaptation strategies for rural entrepreneurship in order to reduce costs and failure rates.
JOURNAL OF RURAL STUDIES
(2024)
Article
Business
Meiyang Zhang, Xuezhong Zhu, Rui Liu
Summary: The extension of patent length through fast-tracking patent applications policy has a significant positive impact on corporate innovation, particularly in companies with political resources, belonging to industries with a higher patent tendency, and facing fierce market competition.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Francis Kyere, Dongying Sun, Gertrude Dotse Bampoe, Naana Yaa Gyamea Kumah, Dennis Asante
Summary: This research examines the acceptance and resistance of household-based solar PV systems in Ghana. The findings reveal that household values and attitudes, cost implications, performance expectancy, technological complexity, and market design are key factors influencing the adoption or resistance of solar PV systems.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Sanjit K. Roy, Gaganpreet Singh, Saalem Sadeque, Richard L. Gruner
Summary: This study investigates the relationships among customer equity drivers, trust in social robots, and trust in service providers. The findings show that customer equity drivers influence trust in service providers, and only brand and relationship equity influence trust in social robots. Trust in service providers mediates the relationship between customer equity drivers and customer experience quality.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Wojciech Czakon, Karolina Mania, Monika Jedynak, Aneta Kuzniarska, Michal Choinski, Marina Dabic
Summary: The study finds that firms' activity on social media can enhance stakeholder engagement and improve communication with customers. By analyzing micro-interactions on social media, the study explores organizational identity and identifies differences in communication strategies with different stakeholders.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Joao Estevao, Jose Dias Lopes
Summary: This study examines renewable energy consumption in the Eurozone from 2000 to 2019 using panel data analysis and the Driscoll-Kraay technique. The study confirms that GDP is inversely related to renewable energy consumption, while Foreign Direct Investment (FDI) and energy imports are negatively associated with renewable energy consumption. Additionally, there is a direct correlation between R&D expenditure and renewable energy consumption. Comparing two models, the disaggregated data model shows a stronger association between renewable energy consumption and electricity production volumes differentiated by energy sources. This study highlights the importance of using disaggregated energy production data for understanding the renewable energy transition.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
Article
Business
Nur Azira Norzelan, Intan Salwani Mohamed, Maslinawati Mohamad
Summary: This research aims to investigate the technology acceptance of artificial intelligence (AI) among the heads of finance and accounting units in the shared service industry, using the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The findings show that performance expectancy, attitude, skill, and technical capability have a major impact on AI technology acceptance. However, there is no link between AI technology acceptance and effort expectancy, social influence, or facilitating conditions. The findings provide insights on important areas to prioritize when using AI in business, especially in finance and accounting.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2024)
