...Ali Chaparak Purpose Artificial intelligence ( AI ) is transforming social structures, value systems and collective knowledge practices in ways comparable to transformative experiences, which fundamentally alter preferences and perspectives. This paper aims to examine how the conceptual framework...

... practices. While artificial intelligence ( AI ) has the potential to significantly enhance the accuracy, timeliness and efficiency of carbon accounting, its adoption remains uneven across firms. Prior studies largely focus on isolated technological or regulatory drivers, offering limited insight into how...

... is to comprehensively examine and critically analyze how artificial intelligence ( AI ) can overcome these limitations. Design/methodology/approach The research method is based on an integrative review approach, which uses inductive thematic analysis of the leading scientific literature to extract and categorize...

..., artificial intelligence, cloud computing, three-dimensional printing, robotics and digital twins, assessing their potential to enhance energy efficiency, reduce waste, optimize resources and improve product lifecycle management. Design/methodology/approach The research uses a systematic literature review...

...-ranging use of Gen AI as an evaluation method for foresight work, in particular with respect to reports that use MA . Forecasting Scenario analysis Artificial intelligence Morphological analysis Modeling We used ChatGPT 4o on November 7, 2024, to perform the evaluation. No memory...

...Yudi Fernando; Yu Li Purpose This paper aims to explore how responsible artificial intelligence ( AI ) technology can enhance various aspects of academic achievement, benefiting institutions, teachers, students and society in creating productive and better educational systems. Design...

... rights only ChatGPT Personal best goals Academic integrity Workplace stress Artificial Intelligence Generative AI represents a significant technological breakthrough that is reshaping both industry and academia. Unlike traditional AI systems, generative AI is capable of producing new...

... the potential risks of a future AGI, criticizing the predominant approach. War Artificial intelligence Existential risk Assurance game Another way to formulate this point is that a human-equivalent artificial agent will be, like us, an autonomous agent in the sense that it will have...

... the field. The paper has not been published before. Artificial intelligence Sense making Weak signals Collective intelligence Weak signals of change are one of the key notions in futures studies, and their significance is highlighted by current disruptions, such as the global Covid pandemic...

.... Jessica Symons can be contacted at: jessica@visioninglab.com 14 05 2024 16 07 2024 19 08 2024 13 09 2024 08 10 2024 © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only AI Artificial intelligence Cities Urban Future...

...Jaya Chitranshi; Komal Chopra; Pallabi Banerjee Purpose The purpose of this study was to examine the impact of artificial intelligence interventions in transforming learning and development of organizations and to investigate whether artificial intelligence can replace traditional learning methods...

...Raúl Trujillo-Cabezas Purpose The study explores the connection between foresight and Artificial Intelligence (AI) methods in a community within an environment of social instability in Colombia. It aims to contribute to research on aligning these methods for future-shaping, with the goal...

...Miriam Al Lily Purpose This paper aims to explore the possible forms and characteristics of an artificial intelligence (AI) leader and discuss the potential applications of AI in political leadership and governance. Design/methodology/approach A categorization system consisting of three...

... a collective future vision among stakeholders, using diverse qualitative and quantitative methodologies, including artificial intelligence tools such as big data and machine learning (BDML) (Miles et al., 2008 , 2016). BDML has been changing the way that many industries and sectors think about...

... influences purchase intention in the context of online shopping through artificial intelligence voice assistants (AI VAs). Design/methodology/approach Data were collected in India from 429 customers in a self-administered online survey. Data analysis uses the structural equation modelling technique...

..., artificial intelligence (AI) methods and techniques. Design/methodology/approach This study examines the extent to which AI features within academic research in retail industry and aims to consolidate existing knowledge, analyse the development on this topic, clarify key trends and highlight gaps...

..., customers’ satisfaction with the artificial intelligence(AI)-based chatbots emerged as a predominant predictor of their continuance use. Practical implications The findings have various practical ramifications for developers who must train chatbot algorithms on massive data to increase their accuracy...

...Rohit Bhagat; Vinay Chauhan; Pallavi Bhagat Purpose Technology has been witnessing a rapid growth. The advent of artificial intelligence has further enhanced the satisfaction level of consumers, which makes it even more vital in the current scenario. This paper aims to explore the factors...

...Manpreet Arora; Roshan Lal Sharma Purpose The purpose of this paper is to see how critical and vital artificial intelligence (AI) and big data are in today’s world. Besides this, this paper also seeks to explore qualitative and theoretical perspectives to underscore the importance of AI and big...

...Nirmal Acharya; Anne-Marie Sassenberg; Jeffrey Soar Purpose The applications of artificial intelligence (AI), natural language processing and machine learning in e-commerce are growing. Recommender systems (RSs) are interaction-based technologies based on AI that can offer recommendations...