[HTML][HTML] From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change

S Kraus, S Kumar, WM Lim, J Kaur, A Sharma… - … Forecasting and Social …, 2023 - Elsevier
Abstract Technological Forecasting and Social Change (TFSC) is one of the most prominent
journals to focus on the methodologies and practices of technological forecasting and …

Blockchain applications for secured and resilient supply chains: A systematic literature review and future research agenda

RK Singh, R Mishra, S Gupta, AA Mukherjee - Computers & Industrial …, 2023 - Elsevier
Firms are using blockchain technology to prevent fraudulent activities through consensus
mechanisms and help identify data tampering through its underlying characteristics, such as …

[HTML][HTML] Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

YK Dwivedi, A Sharma, NP Rana, M Giannakis… - … Forecasting and Social …, 2023 - Elsevier
Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are
radically transforming various aspects related to people, business, society, and the …

[HTML][HTML] Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research

AKMB Haque, AKMN Islam, P Mikalef - Technological Forecasting and …, 2023 - Elsevier
The rapid growth and use of artificial intelligence (AI)-based systems have raised concerns
regarding explainability. Recent studies have discussed the emerging demand for …

Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk

J Laux, S Wachter, B Mittelstadt - Regulation & Governance, 2024 - Wiley Online Library
In its AI Act, the European Union chose to understand trustworthiness of AI in terms of the
acceptability of its risks. Based on a narrative systematic literature review on institutional …

Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability

LV Herm, K Heinrich, J Wanner, C Janiesch - International Journal of …, 2023 - Elsevier
Abstract Machine learning algorithms enable advanced decision making in contemporary
intelligent systems. Research indicates that there is a tradeoff between their model …

Virtual agents and flow experience: An empirical examination of AI-powered chatbots

AM Baabdullah, AA Alalwan, RS Algharabat… - … Forecasting and Social …, 2022 - Elsevier
The aspects that could shape customers' virtual experiences with chatbot applications are
poorly understood. Therefore, this study aims to empirically examine the main factors that …

Application of supportive and substitutive technologies in manual warehouse order picking: a content analysis

EH Grosse - International Journal of Production Research, 2024 - Taylor & Francis
Order picking in warehouses is a labour-and time-intensive logistical process that
significantly impacts the efficiency of supply chains. Although technical progress facilitates …

Adoption of AI-enabled tools in social development organizations in India: An extension of UTAUT model

R Jain, N Garg, SN Khera - Frontiers in Psychology, 2022 - frontiersin.org
Social development organizations increasingly employ artificial intelligence (AI)-enabled
tools to help team members collaborate effectively and efficiently. These tools are used in …

The effect of algorithmic management and workers' coping behavior: An exploratory qualitative research of Chinese food-delivery platform

X Wu, Q Liu, H Qu, J Wang - Tourism Management, 2023 - Elsevier
While algorithmic management provides new options for organizing service work, it is
underexplored in tourism and hospitality research. From food-delivery platforms in China …