Samuel Fosso Wamba

Samuel Wamba Fosso is a Cameroonian researcher, author, and academic. He is a professor at TBS Education in France and a Distinguished Visiting professor at The University of Johannesburg, South Africa. He was a visiting professor of Artificial Intelligence at Bradford University from September 2020 to September 2021

Fosso's research focuses on various aspects of artificial intelligence in business, including business analytics, big data, social media, and open data. Additionally, he has explored the business value of information technology, inter-organizational system adoption and its impacts, supply chain management, electronic commerce, and blockchain. He has authored 5 books, including Enterprise and Organizational Modeling and Simulation, and Transformation de la supply chain grâce aux systèmes d'information : Apport de l'Internet des Objets and has written book chapters and journal articles.

Fosso is an academic founder of RFID Academia. He is most known for his contributions to big data analytics and enterprise, which is attributed to the high number of published articles and citations. He ranks among the 1% most cited scholars in the world for the years 2020, 2021, and 2022 based on Clarivate Analytics' Highly Cited Researchers List.

Education Fosso studied for a bachelor's degree in mathematics at the University of Yaoundé I, which he completed in 1996. Later, in 2000, he received his first master's degree in mathematics from Sherbrooke University in Canada, followed by a second master's degree in E-commerce from Montreal University in Canada. For his Ph.D., he researched Industrial Engineering at Montreal University, specializing in the impact of RFID technology and the EPC Network on supply chain management in the retail industry. His thesis was titled "An empirical study of the Impact of RFID Technology and the EPC Network on supply chain management: The Case of the retail industry". Additionally, he earned his Habilitation to Conduct Research in management science, information systems at the Telecom Business School, University of Évry at Essonne, France in 2015, with a thesis on the "Transformation of the Supply Chain Management through Inter-Organizational Information Systems: The Contribution of the Internet of Things". His work has been published in recognized journals and has been cited widely throughout his career. Artificial Intelligence (AI), and Blockchain, o improve supply chain processes and performance. He highlighted the role of technology in enhancing supply chain operations and ensuring companies' competitiveness. Furthermore, he examined the potential impact of AR in supply chain and logistics management in 2021 and discussed different technologies' involvement and potential impact on managing various business models in his book, Managing the Digital Transformation: Aligning Technologies, Business Models, and Operations. His book also described the fundamental aspects of integrating technology, organizational structures, operations, and supply chain management to facilitate a successful digital transformation.

Big data analytics (BDA) Fosso has conducted extensive research in the area of big data analytics and has explored its characteristic, challenges, definitional aspects, and types in different business modules. In a combined study, he identified the importance of system and information quality in big data analytics as the key component to enhance business and also proposed a big data analytics capability (BDAC) model to improve the firm performance (FPER). While analyzing big data and predictive analytics (BDPA) for supply chain and organizational performance, he indicated that connectivity, information sharing, and top management commitment positively influence BDPA acceptance, which in turn leads to BDPA assimilation through routinization, and ultimately positively impacts SCP and OP. In 2019, he published a paper that presented the positive influence of BDPA on social and environmental sustainability, Furthermore, in 2020 he developed a consumer goods company innovation (CGCI) conceptual framework, showcasing how digital BDA firms aid consumer goods companies in product testing and innovation prior to market launch. Radio frequency identification (RFID) Fosso has been accredited for his research in the field of radio frequency identification, he has investigated its potential In 2006, he indicated RFID as a disruptive technology as it requires major redesigning, supports new business modules and promotes higher electronic integration between supply chain members. Later in the same year, he demonstrated the integration of RFID technology into information systems applications, highlighting how it leads to process optimization, and tracked the key performance indicators that aid to evaluate its impact RFID technology on a five-layer supply chain in the utility sector and in ecommerce applications. Afterwards, in 2008, he explored the impact of RFID and electronic product code (EPC) on mobile B2B eCommerce and identified it as an appropriate approach that helps in fostering higher level of information and improves "shipping," "receiving," and "put-away" processes. In a collaborative study with Harold Beck in 2008, he elucidated that buyer-supplier relationship plays a crucial role in shaping the RFID infrastructure and the consequences related to its implementation, and also mentioned the potential of RFID and EPC in enhancing the information flow in retail supply chain. In 2012, he explained how RFID act like an enabler to facilitate the seamless integration of timely and accurate data flows into information systems, streamline business processes through automation, enhance system-to-system communication, and improve inter- and intra-organizational integration of business processes.

Artificial intelligence (AI) Fosso has also focused his research expertise in the field of artificial intelligence with a particular interest in comprehending its implementation and practices and its impact on enhancing business values and firm performance and organizational and process levels. In a collaborative study he proposed a Multi-criteria decision-making (MCDM) technique that uses AI algorithms like Fuzzy systems, Wavelet Neural Networks (WNN), and Evaluation based on Distance from Average Solution (EDAS) to discover patterns in AI techniques for creating SCRes strategies. and have discussed the positive influence of AI in operational supply chain management and organizational and customer agility. Furthermore, he proposed a method, known as informed AI (IAI) that involves the incorporation of human domain expertise into AI, resulting in more effective and dependable procedures for data labeling and model explainability. Apart from business modules, he has also worked on the implementation of AI in digital health as well as its Implications for information systems research.

Block chain technologies Fosso has also examined various aspects of blockchain technologies, including their implementation in supply chain management, associated challenges, His research on blockchain adoption by supply chain management and operations has revealed that it is influenced by effort expectancy, social influence, facilitating influence, and trust. Additionally, he explored the potential influence of block chain technologies on supply chain management and indicated an improved supply chain performance. In related research, he clarified the definitions of Bitcoin, Blockchain, and Fintech and presented their applications, benefits, and challenges in various industries.