• Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy

      Dwivedi, Y.K.; Hughes, L.; Ismagilova, Elvira; Aarts, G.; Coombs, C.; Crick, T.; Duan, Y.; Dwivedi, R.; Edwards, J.; Eirug, A.; et al. (Elsevier, 2021-04)
      As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
    • Examining the impact of social commerce dimensions on customers' value cocreation: The mediating effect of social trust

      Alalwan, A.; Algharabat, R.S.; Baabdullah, A.M.; Rana, Nripendra P.; Raman, R.; Dwivedi, R.; Aljafari, A. (2019-11)
      One of the main aspects of the Web 2.0 revolution has been social commerce that has resulted in many people across the world increasingly engaging with commercial activities over social media platforms. However, the academic and research interest in social commerce is still low, and more studies are required to accelerate awareness of the most important issues relating to social commerce, in particular, social trust and value cocreation. Thus, the present study aims to propose a conceptual model that is intended to enable greater understanding of the causal interactions between social commerce constructs, social trust, and customer value cocreation. We collected data using a sample of 300 followers and fans of online Facebook communities, and we analysed them by using a structural equation model. The results show that social commerce constructs positively impact on social trust. Furthermore, we found that social trust positively impacts on the three dimensions of customer value cocreation. We found that social trust mediates the relationship between the social commerce and customer value cocreation dimensions. The paper presents a considerable theoretical contribution for being the first study that links social commerce constructs with social trust. The linkage between social commerce constructs, social trust, and customer value cocreation dimensions will also be beneficial for social media marketing strategists and managers.
    • The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation

      Tamilmani, Kuttimani; Rana, Nripendra P.; Wamba, S.F.; Dwivedi, R. (2021-04)
      The extended unified theory of acceptance and use of technology (UTAUT2) is less than ten years old and has already garnered more than 6,000 citations with extensive usage in information systems and beyond. This research employed cited reference search to systematically review studies that cited UTAUT2 originating article. Based on UTAUT2 usage, the downloaded articles were classified into four categories such as: 1) General citation, 2) UTAUT2 application, 3) UTAUT2 integration, and 4) UTAUT2 extensions. Weber's (2012) theory evaluation framework revealed UTAUT2 as a robust theory on most dimensions except for parsimony arising from the complex model. UTAUT2 extensions emerged as popular UTAUT2 utilization category as researchers extended the model with context specific variables. Finally, UTAUT2 extensions were mapped to Johns' (2006) context dimensions to identify various limitations of the existing technology adoption research and to provide multi-level framework for future researchers with libraries of context dimensions.