Samuel Fosso Wamba

• PhD
• Professor at Toulouse Business School

This research aims to provide an overview of metaverse adoption for environmental, social, and governance (ESG) practices. Particularly, we seek to uncover the opportunities, risks, and outcomes of ESG‐metaverse convergence; identify barriers and enablers of this intersection; embed metaverse technologies in ESG strategies and processes using techn...

This editorial synthesizes the principal research trends and prospective directions emphasized in the special issue titled Emerging Trends in the Interplay between Analytics and Operations in MSMEs, published in Annals of Operations Research. The contributions underscore the transformative impact of analytics on Micro, Small, and Medium Enterprises...

Abstract Purpose The role of information technology governance (ITG) is crucial to enable organizational agility (OA) to leverage firm performance (FP). ITG capability helps firms optimize market and operational activities and improves corporate performance. Therefore, the paper aims to examine the relationship between ITG’s capability to emerge AO...

Despite considerable research attention to supply chain knowledge mobilization (KMob) barriers, understanding of why, how, and when they emerge in practice remains limited. We address this knowledge deficit by using middle‐range theory (MRT) as a theoretical lens to examine supply chain KMob barriers in their naturally occurring environment. Drawin...

This study examines how technology-organization-environment (TOE) factors influence innovation capability, which drives blockchain and enterprise metaverse adoption, ultimately impacting competitive advantage. This study uses the data from 258 managers to understand blockchain integration and enterprise metaverse to achieve competitive advantage. T...

Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors and risks related to trust, perceived values, satisfaction, and sustainable use of GenAI chatbots. Relying on IS theories to build a stimulus-organism-response model,...

Practitioners and academics question how big data analytics (BDA) generates business value across diverse economic contexts. Early research on BDA capabilities has often been geographically concentrated, typically focusing on individual countries without comparing emerging and advanced economies. This study addresses this issue by exploring how BDA...

This book series, “Chronicle of Computing,” aims to facilitate increased opportunities for cross-fertilization across computing disciplines and topics. Book proposals are solicited for consideration in all computing disciplines, including, but not limited to, Artificial Intelligence, Computer Science and Engineering, Information Systems and Technol...

Purpose Amid the growing global emphasis on sustainable agriculture, organizations and governments face a pressing need to equip farmers with the knowledge and tools necessary for the adoption of sustainable farming practices, aligning with the Sustainable Development Goals (SDGs). However, understanding the complex relationship between training pr...

For a long time, decision-making in auditing was limited to a risk-oriented recommendation and consisted of the rigorous analysis of a sample of data. The new trend in the audit decision process focuses on the use of decision support systems (DSSs) founded on data analytics (DA) to better concentrate on in-depth analysis. This study examines how DA...

This paper shows how transactional bank account data can be used to predict and to prevent financial distress in consumers. Machine learning methods were used to identify the most significant transactional behaviours that cause financial distress. We show that Random Forest outperforms the other machine learning models when predicting the financial...

The 8th International Conference on Technologies & Organization (ICTO2024) will be dedicated to Augmented Intelligence for Smarter Societies. This prestigious event will take place at DVRC, Paris, France on June 27-28, 2024, accompanied by a Preconference Workshop on June 25-26 that will be chaired by Prof. Mary Tate & Prof. Denis Dennehy, co Edit...

Supply chains are inherently complex, multifaceted, and dynamically changing systems that are highly susceptible to exogenous shocks. At the same time, Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as an approach to developing sustainable and resilient supply chains. However, Research is largely fragmented...

Call for Papers @ the Communications of the Association for Information Systems (CAIS: Exploring the transformative role of Emerging Technologies in advancing inclusivity, sustainability, and the UN SDGs within the Information Systems field.

Curiously, there are few contributions in the scientific literature on the subject of artificial intelligence (AI) and its impact on aeronautics. However, many communications and reports have been published by aeronautic companies about their applications of AI technologies. This article makes an industry-wide review of AI in aeronautics using a th...

Même si l’I4.0 devient un des plu importants sujets d’actualité, tant pour la recherche en sciences de gestion que pour l’industrie, il le concept est moins exploré en systèmes d’information, où la transformation numérique est pourtant largement évoquée. De plus, les études actuelles sur l’I4.0 s’intéressent moins aux besoins des PMEs pour privilég...

Anomalies are a significant challenge for businesses in all industries. Artificial intelligence (AI) based machine learning (ML) detection models can help find aberrant customer transaction behaviour in financial datasets. However, the output responses provided by these AI-based ML models lack transparency and interpretability, making it challengin...

Artificial Intelligence (AI) tools, applications, and capabilities have received tremendous attention from industry practitioners, scholars, and policymakers. Despite the substantial progress of the literature on AI, there is a considerable scarcity of research investigating the effects of AI capability, considering the importance of a data-driven...

This paper shows how transactional bank account data can be used to predict and to prevent financial distress in consumers. Machine learning methods were used to understand what are the most significant transactional behaviours that cause financial distress. We show that Gradian Boosting outperforms the other machine learning models when predicting...

This study seeks to examine the nexus between drinking water sources in the Kumba municipality and its related health implications vis-à-vis the recurrent incidences of waterborne diseases such as Typhoid, Cholera, Diarrhea, Dysentery, Hepatitis A and malaria. The study adopted a purposive sampling technique in which surveys were conducted between...

In recent years, innovation and competitive advantages have been built through information systems (IS); in particular, big data and business analytics (BDA) capabilities are being highlighted as essential enablers in creating innovation. This research focused on developing a big data scale using the Dynamic Capabilities View (DCV). DCV is based on...

The recent coronavirus disease (COVID-19) pandemic has severely impacted nations across the globe. Not only has it created economic shocks, but also long-term impacts on the social and psychological behaviors of the public. This can be attributed to the severity of the pandemic and because of the preventive and control measures such as global lockd...

In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. This is because of its potential to cause drastic and widespread shifts in many aspects of life that are comparable to those of the Internet and smartphones. More specifically, generative AI...

The main objective of this research was to examine the instrumental role played by interpretable learning systems, specifically artificial intelligence (AI) technologies, in enhancing supply chain viability and resilience. It seeks to contribute to our understanding of the critical role played by interpretable learning systems in supporting decisio...

To improve good project outcomes, increasing attention has been paid for many years to building a successful partnership between client and provider in delivering outsourcing services. However, studies on the consideration of service provider selection in aeronautics considering its specific constraints are lacking. More generally, among the variou...

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...

In today's disruptive world, firms and supply chains are facing massive disruptions, primarily owing to resource scarcity. We develop a model supported by the resilience and resource‐based theories to assess supply chain decision‐makers in the United States. We validate the model by employing partial least squares structural equation modeling and f...

Purpose 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 trust...

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...

Purpose The purpose of this paper is to examine the factors that influence enterprise resource planning (ERP) effectiveness within the context of emergency service organizations. Drawing on information systems (IS) effectiveness, ERP implementation and job satisfaction literature, the authors posit that user involvement, top management involvement...

Purpose The metaverse development is in the early stages in most organizations and supply chains. There has been exponential growth in metaverse investments by leading tech and other types of companies and governments worldwide. This article aims to shed light on the topic by providing detailed insights for the operations and supply chain managemen...

Few empirical studies have explored the factors that influence the intention to use Coronavirus contact-tracing apps. Building on previous literature on technology acceptance, trust, privacy control and reliability, we propose an integrated model. The hypotheses are tested on a representative sample of 1000 citizens in France who installed a contac...

Purpose The COVID-19 pandemic has fuelled the transition in the workplace into the digital era. The purpose of this review paper is to highlight how the pandemic has further exposed the digital divide and the structural inequalities in remote workers’ access to home-location technology infrastructure and services. The unified theory of acceptance a...

The [Oxford] Handbook of the Economy of Cameroon examines the reasons of Cameroon’s unsatisfactory economic performance and draws lessons from successful development experience to help tackle these issues. The Handbook provides a critical assessment of the history, patterns, and strategies of economic development in Cameroon, and outlines new appro...

Internet of Things (IoT) is one of the enabling technologies of Industry 4.0. Although IoT has shown great promise for organizations, its practical use in generating value alone or in combination with existing IT capabilities remains unclear. Drawing upon the literature on dynamic capabilities and innovation capability, we propose IoT-enabled innov...

This study examines the use of information and communications technology (ICT) in remote work practice during the COVID-19 pandemic by integrating task-technology fit theory and the post-acceptance model of IS continuance into a research framework. In addition, it operationalizes the technological characteristics of TTF (task-technology fit) with t...

Peu d’études empiriques ont exploré les facteurs qui influencent l’intention d’utiliser les applications de traçage de contacts liés au coronavirus. Nous proposons un modèle intégré, basé sur la littérature sur l’acceptation de la technologie, la confiance, le contrôle de la confidentialité et la fiabilité. Les hypothèses sont testées sur un échant...

In light of the controversies surrounding COVID-19 vaccines, this study explored vaccine adoption through a theoretical model, focusing on France (n=2001) and South Africa (n=1107). Analysis using structural equation modelling and hierarchical cluster analysis revealed that social influences, personal opinions on vaccines, perceived severity of the...

In the emerging literature on artificial intelligence (AI) and other disruptive technologies, the importance of technological assimilation has been recognized for high operational and strategic organizational benefits and economic growth. AI is considered as the next productivity frontier for its high capability to transform almost all aspects of i...

Blockchain is one of the most promising technologies with a highly disruptive potential, yet many aspects of this innovation remain unclear in the current body of research. One of them is the whole adoption and diffusion process of blockchain technology, which needs more attention from researchers. This study has adopted a qualitative method to inv...

The fourth industrial revolution (4IR or Industry 4.0), fueled by cutting-edge technologies such as autonomous cars, advanced robotics, business analytics, and artificial intelligence, is expected to transform all aspects of today's workforce. Yet very few empirical studies have been conducted about the future skills needed to cope with this new in...

Digital transformation (DT) has been considered an essential enabler of operational and strategic change for any given organization across various industries. Based on the smart adoption and assimilation of cutting-edge tools and technologies, DT allows firms to develop new capabilities, including creating improved products and services, enhancing...

Academic research to the utilization of artificial intelligence (AI) has been proliferated over the past few years. While AI and its subsets are continuously evolving in the fields of marketing, social media and finance, its application in the daily practice of clinical care is insufficiently explored. In this systematic review, we aim to landscape...

In the global supply chains era, firms are more connected, integrated, and interdependent, bringing along a set of benefits and a number of risks. It is clear that the singular COVID-19 epidemic outbreak has led to unparalleled disruptions and considerable challenges for supply chains (SCs). For example, the sluggish economic environment provoked b...

The [Oxford] Handbook of the Economy of Cameroon examines the reasons of Cameroon’s unsatisfactory economic performance and draws lessons from successful development experience to help tackle these issues. The Handbook provides a critical assessment of the history, patterns, and strategies of economic development in Cameroon, and outlines new appro...

Drawing on dynamic capabilities and the resource-based view, we propose a conceptual model that encompasses big data analytics capabilities (BDAC), digital platform capabilities and network capabilities, supply chain innovation, and firm performance. We use the structural equation modeling to empirically validate this model on the time-lagged data...

This study employs a structured literature analysis considering Industry 4.0 technologies and their adoption stages (intention, adoption, implementation, routinization, continuance, and diffusion). We identify the technology adoption stage for each technology type, which in turn supports a maturity level categorization, as well as future research s...