What is he best known for?
The fields of study he is best known for:
- Management
- Marketing
- The Internet
Samuel Fosso Wamba spends much of his time researching Big data, Knowledge management, Data science, Supply chain and Analytics.
His Big data research focuses on subjects like Business value, which are linked to Resource.
His work deals with themes such as Management styles, Conceptual framework and Artificial intelligence, which intersect with Knowledge management.
His study in Data science is interdisciplinary in nature, drawing from both Bibliometrics and PageRank.
The various areas that Samuel Fosso Wamba examines in his Supply chain study include Predictive analytics, Information sharing and Organizational culture.
Samuel Fosso Wamba combines Analytics and Value in his research.
His most cited work include:
- How 'big data' can make big impact: findings from a systematic review and a longitudinal case study (677 citations)
- How 'big data' can make big impact: findings from a systematic review and a longitudinal case study (677 citations)
- Big data analytics and firm performance: Effects of dynamic capabilities (475 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Knowledge management, Supply chain, Big data, Data science and Process management.
His studies deal with areas such as Quality, Resource, Business value and Health care as well as Knowledge management.
His study looks at the intersection of Supply chain and topics like Blockchain with Industrial organization.
As part of one scientific family, Samuel Fosso Wamba deals mainly with the area of Big data, narrowing it down to issues related to the Analytics, and often Business intelligence.
His Data science study frequently involves adjacent topics like Field.
His Process management research is multidisciplinary, incorporating elements of Radio-frequency identification, Business process and Operations management.
He most often published in these fields:
- Knowledge management (30.47%)
- Supply chain (24.89%)
- Big data (22.75%)
What were the highlights of his more recent work (between 2019-2021)?
- Supply chain (24.89%)
- Supply chain management (12.02%)
- Big data (22.75%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Supply chain, Supply chain management, Big data, Blockchain and Process management.
His studies in Supply chain integrate themes in fields like Tertiary sector of the economy, Digital business and Consumer behaviour.
He combines subjects such as Digital economy, Analytics and Dynamic capabilities, Knowledge management with his study of Big data.
His Analytics research includes elements of Service system, Resource-based view and Technology management.
His work carried out in the field of Knowledge management brings together such families of science as Business process management and Business value.
His work in Component addresses issues such as Field, which are connected to fields such as Data science.
Between 2019 and 2021, his most popular works were:
- Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. (95 citations)
- Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience (75 citations)
- Bitcoin, Blockchain and Fintech: a systematic review and case studies in the supply chain (46 citations)
In his most recent research, the most cited papers focused on:
- Management
- Marketing
- The Internet
Samuel Fosso Wamba mostly deals with Supply chain, Blockchain, Supply chain management, Competitive advantage and Industrial organization.
The study of Supply chain is intertwined with the study of Data science in a number of ways.
His Blockchain study integrates concerns from other disciplines, such as Construction engineering, Bridge, Field and Knowledge management.
His Supply chain management study incorporates themes from Preparedness, Order and Humanitarian Logistics.
His Competitive advantage research is multidisciplinary, relying on both Organizational flexibility, Supply chain resilience, Business value, Data analysis and Process.
His Business value research incorporates themes from Profitability index, Business model, Conceptual framework and Artificial intelligence.
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