Article row 4 by Maciel M. Queiroz, Charbel Jose Chiappetta Jabbour, Chinming (Victor) Shi, Samuel Fosso Wamba
Publised in International Journal of Production Economics
The remarkable growth of ChatGPT, a Generative Artificial Intelligence (Gen-AI), has triggered a significant debate in society. It has the potential to radically transform the business landscape, with consequences for operations and supply chain management (O&SCM). However, empirical evidence on Gen-AI’s effects in O&SCM remains limited.
This study investigates the benefits, challenges, and trends associated with Gen-AI/ChatGPT in O&SCM. We collected data from O&SCM practitioners in the UK (N = 154) and the USA (N = 161). As we used the organizational learning theory for the research, our findings reveal increased efficiency as a significant benefit for both adopters and non-adopters in both countries, while indicating security, risks, and ethical as prominent concerns. In particular, it appeared that the integration of Gen-AI/ChatGPT leads to the enhancement of the overall supply chain performance.
Moreover, organizational learning can speed up the results of Gen-AI/ChatGPT in O&SCM. No wonders that adopters express their satisfaction about the post-implementation benefits of the technology, which include reduced perceived challenges for pre-implementation, and greater optimism about future Gen-AI/ChatGPT utilization compared to non-adopters.
Adopters also display diverse behavioral patterns toward efficiency, agility, responsiveness, etc. This study provides valuable insights for scholars, practitioners, and policymakers interested in comprehending Gen-AI/ChatGPT’s implications in O&SCM for both adopters and non-adopters. Additionally, it underscores the importance of organizational learning processes in facilitating successful Gen-AI/ChatGPT adoption in O&SCM.
Article row 3 by Md Afnan Hossain, Shahriar Akter, Venkata Yanamandram, Samuel Fosso Wamba
Publised in Technological Forecasting and Social Change
This study’s objective is to investigate how a business can achieve data-driven market effectiveness through the sustained application of a customer analytics capability to its operations.
Despite the abundance of literature on retail technology management, empirical evidence on the effectiveness of a customer analytics capability in promoting sustainable market performance within retail business operations remains scarce.
This study presents a model of a sustained customer analytics capability in the context of competitive, data-rich retail business processes, drawing on grounded market orientation capability theory. The study employs a taxonomy of explanation and prediction from an epistemological perspective, employing predominantly positivist methods, where data analysis validates the conceptual customer analytics capability and its sustained critical outcomes.
In addition, the study discusses the significant contributions of its findings regarding the acceleration of retail business operational performance in a big data environment and also provides future research directions to resolve any limitations of the current study.
Article row 4 by Maciel M. Queiroz, Samuel Fosso Wamba, Rakesh D. Raut, Ilias O. Pappas
Publised in British Journal of Management
Business models for sustainability (BMfS) enable organizations to create social and environmental value for a wide variety of stakeholders. As BMfS are new for well-established industries, their implementation requires deep organizational change to overcome path dependencies of existing business models. In this article, we present a framework which outlines the organizational change process involved in BMfS development. The framework shows that organizations can experiment with novel configurations of value, resources, and transactions, and follow discursive and cognitive pathways to enable BMfS legitimization and implementation. Although the value, resources, and transactions levers can be used either separately or in concert, discursive and cognitive pathways are most powerful when pursued together. We use our framework to highlight the contributions of the articles in the special issue and to propose new directions for BMfS research. We argue that future research should investigate the impacts of BMfS on the sustainability challenges they seek to address.
Article row 3 by Abhishek Behl, Vijay Pereira, Achint Nigam, Samuel FOSSO WAMBA (TBS Education), Rahul Sindhwani
Publised in Journal of Knowledge Management
The purpose of this paper is to investigate the potential of NFTs in revolutionizing innovation management and information systems. Innovations done by firms are blatantly used by other firms to develop cheap knock-off. This leads to huge economic loses to the firm investing in research and development activities. Firms are in need of trusted, immutable and verifiable means of storing information which cannot be used by others, even if publically available without their consent. Non-fungible tokens (NFTs) appear to be one such solution to this problem that has recently attracted a lot of investor interest. Using NFTs the information is tokenized and is stored in a secure manner.
Through this scoping review, the authors investigate the influence of NFTs towards the innovation management from the dual aspects of management and information systems. This scoping review is underpinned by the five-stage framework by Arksey and O’Malley. The five stages of Arksey and O’Malley’s framework were used in this analysis to classify the literature through five stages of identifying the initial research questions; locating relevant studies; study selection; charting the data; and compiling, summarizing and reporting the results.
This study suggests that NFTs on the blockchain have significant potential to revolutionize innovation management and information systems. Theoretical frameworks used in investigating the role of digital tokens in blockchain management are mainly based on contracts, diversity theory, portfolio theory and faking likelihood theory. The study reveals gaps in the literature, particularly in the under-researched areas of behavioural psychology and social psychology theories. The appropriate regulation and regulation authority for different types of digital tokens are required. The study also presents archetypes that represent patterns in the current landscape of blockchain tokens, which have significant potential for future research and practical applications.
This study is unique in its approach to assessing the future of NFTs in the field of innovation and information management. While many existing reviews have focused on describing the progress and development of NFTs in the past, this study takes a forward-looking perspective and projects the future potential of NFTs. This innovative approach allows for a deeper understanding of the potential impact of NFTs in various fields such as entrepreneurship, innovation management and tokenomics. Therefore, this study contributes to the literature on NFTs by providing insights and recommendations for future research and practical applications.
Article row 3 by Samuel FOSSO WAMBA (TBS Education), Muriel Fotso, Elaine Mosconi & Junwu Chai
Publised in Annals of Operations Research
Plastic waste management represents a fundamental challenge in terms of environmental pollution and health in many emerging countries. Yet, some firms believe improved plastic waste management could lead to value creation and capture, especially from a circular economy perspective.
This study draws on a longitudinal research approach that involved 12 organizations in assessing plastic waste management’s contribution to Cameroon’s circular economy. Our findings suggest that plastic waste management for value creation is still embryonic in Cameroon. Moving to the full value creation and capture stage will require overcoming various challenges identified and presented in the paper. We then discuss our findings and put forward several future research avenues.