Samuel Wamba Fosso | |
---|---|
Nationality | Cameroonian |
Occupation(s) | Researcher, author, and academic |
Academic background | |
Education | BSc in Mathematics MSc in Mathematics MS in E-commerce PhD in Industrial Engineering Habilitation in Information Systems |
Alma mater | University of Yaoundé I Sherbrooke University HEC Montréal Montreal University Télécom Paris |
Thesis | An empirical study of the impact of RFID technology and the EPC Network on supply chain management: The case of the retail industry (2009) |
Academic work | |
Institutions | Toulouse Business School |
Website | fossowambasamuel |
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 [1]
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. [2] 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. [3]
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". [1]
In 2006, Fosso held a brief appointment as a Part-time Professor in the School of Business at Ottawa University before becoming a professor at Academia RFID in Montreal. Afterwards, he served as an assistant professor of Information Technology at the University of Wollongong in Australia. Between 2012 and 2016, he held the position of Professor of Information Systems and Supply Chain Management at NEOMA Business School. He is a professor at Toulouse business school Education in France, a Distinguished Visiting professor at the University of Johannesburg in South Africa, and a visiting professor of Artificial Intelligence at Bradford University. He is also a Visiting Professor at the Catholic University of Central Africa. [2]
Fosso's research interests encompass a broad spectrum of topics, with a primary focus on Big Data and Business Analytics, Radio frequency identification (RFID), Electronic Commerce, Mobile Business, ERP, Supply Chain Management, Management of Innovation, Digital Transformation, and Artificial Intelligence. Additionally, he has secondary research interests in areas such as e-government, Green Computing, Geographic Information Systems, IT-enabled Disasters Management, and IT-enabled Social Inclusion. [4] His work has been published in recognized journals and has been cited widely throughout his career. [5] [3]
One of Fosso's primary research areas is supply chain management, in which he has explored the potential use of various technologies, such as Radio Frequency Identification (RFID), [6] Artificial Intelligence (AI), [7] and Blockchain, [8] o improve supply chain processes and performance. He highlighted the role of technology in enhancing supply chain operations and ensuring companies' competitiveness. [9] Furthermore, he examined the potential impact of AR in supply chain and logistics management in 2021 [10] 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.
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. [11] In a combined study, he identified the importance of system and information quality in big data analytics as the key component to enhance business [12] and also proposed a big data analytics capability (BDAC) model to improve the firm performance (FPER). [13] [14] 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. [15] [16] In 2019, he published a paper that presented the positive influence of BDPA on social and environmental sustainability, [16] followed by a related study mentioning the effects of BDA on performance and supply chain agility and accountability, and its implementation at organizational level. [17] 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. [18]
Fosso has been accredited for his research in the field of radio frequency identification, he has investigated its potential [6] and implementation in several business models, particularly in electronic commerce. [19] 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. [20] Later in the same year, he demonstrated the integration of RFID technology into information systems applications, highlighting how it leads to process optimization, [21] and tracked the key performance indicators that aid to evaluate its impact RFID technology on a five-layer supply chain in the utility sector [22] and in ecommerce applications. [23] 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. [24] 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, [25] and also mentioned the potential of RFID and EPC in enhancing the information flow in retail supply chain. [26] 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. [27]
Fosso has also focused his research expertise in the field of artificial intelligence with a particular interest in comprehending its implementation and practices [28] and its impact on enhancing business values and firm performance [29] and organizational and process levels. [30] 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. [7] In 2022, he published a paper on the implementation of AI in ecommerce and provided guidelines to use information research for it, [31] and have discussed the positive influence of AI in operational supply chain management [32] and organizational and customer agility. [33] 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. [34] Apart from business modules, he has also worked on the implementation of AI in digital health [35] as well as its Implications for information systems research. [36]
Fosso has also examined various aspects of blockchain technologies, including their implementation in supply chain management, associated challenges, [8] and factors enabling their use in logistics. [37] 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. [38] [39] Additionally, he explored the potential influence of block chain technologies on supply chain management and indicated an improved supply chain performance. [40] In related research, he clarified the definitions of Bitcoin, Blockchain, and Fintech and presented their applications, benefits, and challenges in various industries. [41]
In commerce, supply chain management (SCM) deals with a system of procurement, operations management, logistics and marketing channels, through which raw materials can be developed into finished products and delivered to their end customers. A more narrow definition of supply chain management is the "design, planning, execution, control, and monitoring of supply chain activities with the objective of creating net value, building a competitive infrastructure, leveraging worldwide logistics, synchronising supply with demand and measuring performance globally". This can include the movement and storage of raw materials, work-in-process inventory, finished goods, and end to end order fulfilment from the point of origin to the point of consumption. Interconnected, interrelated or interlinked networks, channels and node businesses combine in the provision of products and services required by end customers in a supply chain.
Business intelligence (BI) consists of strategies and technologies used by enterprises for the data analysis and management of business information. Common functions of BI technologies include reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics, and prescriptive analytics.
Traceability is the capability to trace something. In some cases, it is interpreted as the ability to verify the history, location, or application of an item by means of documented recorded identification.
A business analyst (BA) is a person who processes, interprets and documents business processes, products, services and software through analysis of data. The role of a business analyst is to ensure business efficiency increases through their knowledge of both IT and business function.
A smart contract is a computer program or a transaction protocol that is intended to automatically execute, control or document events and actions according to the terms of a contract or an agreement. The objectives of smart contracts are the reduction of need for trusted intermediators, arbitration costs, and fraud losses, as well as the reduction of malicious and accidental exceptions. Smart contracts are commonly associated with cryptocurrencies, and the smart contracts introduced by Ethereum are generally considered a fundamental building block for decentralized finance (DeFi) and NFT applications.
Real-time business intelligence (RTBI) is a concept describing the process of delivering business intelligence (BI) or information about business operations as they occur. Real time means near to zero latency and access to information whenever it is required.
Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods. In contrast, business intelligence traditionally focuses on using a consistent set of metrics to both measure past performance and guide business planning. In other words, business intelligence focusses on description, while business analytics focusses on prediction and prescription.
Auction software is application software, that can either be deployed on a desktop, on a web server or as a smart contract on a blockchain virtual machine. This software is used by auctioneers and participants of online auctions such as eBay. Smart contracts replace an auctioneer's server, if the auctioneer is not trusted.
Fred Glover is Chief Scientific Officer of Entanglement, Inc., USA, in charge of algorithmic design and strategic planning for applications of combinatorial optimization in quantum computing. He also holds the title of Distinguished University Professor, Emeritus, at the University of Colorado, Boulder, associated with the College of Engineering and Applied Science and the Leeds School of Business. He is known for his innovations in the area of metaheuristics including the computer-based optimization methodology of Tabu search an adaptive memory programming algorithm for mathematical optimization, and the associated evolutionary Scatter Search and Path Relinking algorithms.
Marine technology is defined by WEGEMT as "technologies for the safe use, exploitation, protection of, and intervention in, the marine environment." In this regard, according to WEGEMT, the technologies involved in marine technology are the following: naval architecture, marine engineering, ship design, ship building and ship operations; oil and gas exploration, exploitation, and production; hydrodynamics, navigation, sea surface and sub-surface support, underwater technology and engineering; marine resources ; transport logistics and economics; inland, coastal, short sea and deep sea shipping; protection of the marine environment; leisure and safety.
A blockchain is a distributed ledger with growing lists of records (blocks) that are securely linked together via cryptographic hashes. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data. Since each block contains information about the previous block, they effectively form a chain, with each additional block linking to the ones before it. Consequently, blockchain transactions are irreversible in that, once they are recorded, the data in any given block cannot be altered retroactively without altering all subsequent blocks.
Ganesh Vaidyanathan is the Professor of Decision Sciences in the Heller College of Business at the Roosevelt University. He was the Associate Dean and the Director of Graduate Programs at the Heller College of Business. He was the Professor of Decision Systems in the Judd Leighton School of Business and Economics, Indiana University South Bend. He served as the Chair of the Decision Sciences and the Director of the Master of Science in MIS (MS-MIT) program. He also directed the Center of Experiential Education. He earned his MBA (1998) from the University of Chicago and his doctoral degree (1989) in Artificial Intelligence from Tulane University.
The industrial internet of things (IIoT) refers to interconnected sensors, instruments, and other devices networked together with computers' industrial applications, including manufacturing and energy management. This connectivity allows for data collection, exchange, and analysis, potentially facilitating improvements in productivity and efficiency as well as other economic benefits. The IIoT is an evolution of a distributed control system (DCS) that allows for a higher degree of automation by using cloud computing to refine and optimize the process controls.
Whole-of-Government Approach (“WGA”) refers to the joint activities performed by diverse ministries, public administrations and public agencies in order to provide a common solution to particular problems or issues, and involve some form of cross-boundary work and restructuring.
Dr. Erick Christopher Jones Sr. is an industrial engineer and professor in the Department of Industrial, Manufacturing, and Systems Engineering at the University of Texas at Arlington. He is an expert in radio-frequency identification (RFID), quality engineering, and Lean Six Sigma. He is the George and Elizabeth Pickett Endowed Professor, as well as Associate Dean for Graduate Studies in the College of Engineering at the University of Texas at Arlington (UTA). Jones joined UTA in 2010 after eight years at the University of Nebraska – Lincoln, where he rose to the rank of Associate Professor with tenure. He previously served as the deputy director of the UT Arlington's homeland security focused University Center Security Advances via Applied Nanotechnology (SAVANT) Center and he serves as the current director of the Radio Frequency & Auto Identification (RAID) labs at UTA. Jones was the program director of The National Science Foundation's (NSF) Engineering Research Centers. He is currently Chair of the Supply Chain Technology Committee of International Supply Chain Education Alliance's (ISCEA) International Standards Board (IISB) and Editor in Chief of the International Supply Chain Technology Journal (ISCTJ).
Digital agriculture, sometimes known as smart farming or e-agriculture, is tools that digitally collect, store, analyze, and share electronic data and/or information in agriculture. The Food and Agriculture Organization of the United Nations has described the digitalization process of agriculture as the digital agricultural revolution. Other definitions, such as those from the United Nations Project Breakthrough, Cornell University, and Purdue University, also emphasize the role of digital technology in the optimization of food systems.
Government by algorithm is an alternative form of government or social ordering where the usage of computer algorithms is applied to regulations, law enforcement, and generally any aspect of everyday life such as transportation or land registration. The term "government by algorithm" has appeared in academic literature as an alternative for "algorithmic governance" in 2013. A related term, algorithmic regulation, is defined as setting the standard, monitoring and modifying behaviour by means of computational algorithms – automation of judiciary is in its scope. In the context of blockchain, it is also known as blockchain governance.
Nada R. Sanders is an American university professor specializing in forecasting and supply-chain management. She is the Distinguished Professor of Supply Chain Management at the D’Amore-McKim School of Business at Northeastern University. She is also a research scholar, academic editor, reference book author, keynote speaker, business consultant, and corporate board member. Her forecasts describing the impact of the economic crisis on supply disruptions resulting from the COVID-19 pandemic received media coverage. Her latest book The Humachine, as well as her 2023 article published in HBR explore the influence of artificial intelligence over world business, culture and skills.
Justin Lee Goldston is an American academic at Penn State University. He assisted in the development of the Master's program in Supply Chain Management at Georgetown University.
James R. Langabeer II is an American decision scientist, academic, and entrepreneur known for his theories on strategy and decision-making. He is the Robert H. Graham Professor of Entrepreneurial Biomedical Informatics and Bioengineering at The University of Texas Health Science Center at Houston, and maintains faculty appointments in the department of Emergency Medicine and Psychiatry.
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