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Article
Publication date: 5 June 2017

Professor Samuel Fosso Wamba

9766

Abstract

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Business Process Management Journal, vol. 23 no. 3
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 14 May 2018

Yuanyuan Lai, Huifen Sun and Jifan Ren

Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to…

8183

Abstract

Purpose

Based on previous literature on big data analytics (BDA) and supply chain (SC) management, the purpose of this paper is to address the factors determining firms’ intention to adopt BDA in their daily operations. Specifically, this study classifies potential factors into four categories: technological, organizational, environmental factors, and SC characteristics.

Design/methodology/approach

Drawing on the innovation diffusion theory, a model consisted of direct technological and organizational factors as well as moderators was proposed. Subsequently, survey data was collected from 210 organizations. Then we used SPSS and SmartPLS to analyze the collected data.

Findings

The empirical results revealed that perceived benefits and top management support can significantly influence the adoption intention. And environmental factors, such as competitors’ adoption, government policy, and SC connectivity, can significantly moderate the direct relationships between driving factors and the adoption intention.

Research limitations/implications

Given the fact that big data (BD) usage in logistics and SC management is still in the start-up stage, the interpretations toward BDA might vary from different perspectives, thus causing some ambiguity in understanding the meaning and potential BD has. In addition, we collected data through questionnaires completed by IT managers, whose viewpoint may not fully represent that of an organization.

Practical implications

This paper tests the organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

Social implications

This research helps top managers assess the benefits of BDA as well as how to adjust their business strategy along the changes of environment and SC maturity.

Originality/value

This paper contributes to the literature of organizational adoption intention of BDA and extends the literature streams of BD and SC management simultaneously.

Details

The International Journal of Logistics Management, vol. 29 no. 2
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 3 October 2019

Samuel Fosso Wamba and Shahriar Akter

Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify…

3864

Abstract

Purpose

Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator.

Design/methodology/approach

The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model.

Findings

The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented.

Originality/value

The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Details

International Journal of Operations & Production Management, vol. 39 no. 6/7/8
Type: Research Article
ISSN: 0144-3577

Keywords

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Article
Publication date: 3 January 2017

Samuel Fosso Wamba, Eric W.T. Ngai, Frederick Riggins and Shahriar Akter

2751

Abstract

Details

International Journal of Operations & Production Management, vol. 37 no. 1
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 12 May 2020

Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug and Chris Emmanuel Tchatchouang Wanko

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation…

35838

Abstract

Purpose

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.

Design/methodology/approach

This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.

Findings

AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.

Research limitations/implications

AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.

Originality/value

This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.

Details

Business Process Management Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-7154

Keywords

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Article
Publication date: 15 March 2023

Mithu Bhattacharya, Thiagarajan Ramakrishnan and Samuel Fosso Wamba

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…

1133

Abstract

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 and training satisfaction are the antecedents to perceived job satisfaction, and perceived job satisfaction leads to ERP effectiveness in emergency service organizations.

Design/methodology/approach

Survey methodology is used for collecting data for this research, and the PLS-SEM technique is used for analysis.

Findings

Results indicate users will be more satisfied with their training if their inputs are taken into account during their training and the top management is actively involved during the training process. Further, if the users perceive that they are adequately trained, they will be more satisfied with their jobs in using ERP, which will also lead to more effective ERP usage in emergency service operations.

Research limitations/implications

The focus of this study is on a single emergency service organization and thus may not be generalizable to other sectors. The authors extend ERP research to the context of emergency service organizations and thus add to the literature on ERP and emergency services. They conceptualize perceived job satisfaction to integrate roles, teamwork, supervisor and their perception regarding their potential to grow in the organization.

Practical implications

The managerial contribution of this research is to identify the motivational aspects and provide practical insights into the effective use of ERP systems for emergency service organizations. From a managerial perspective, the study provides a framework for both IS and emergency service providers/executives to understand and evaluate the factors that help them use ERP effectively in their firms.

Originality/value

This study extends the knowledge of ERP systems. While most of the ERP research focuses on implementation, the authors’ focus is on the effective use of ERP in emergency service organizations. They focus on identifying key factors that are important to using ERP effectively, specifically in emergency service organizations.

Details

Business Process Management Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1463-7154

Keywords

Available. Content available

Abstract

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Business Process Management Journal, vol. 25 no. 3
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 13 July 2021

Yangchun Xiong, Hugo K.S. Lam, Ajay Kumar, Eric W.T. Ngai, Chunyu Xiu and Xinyue Wang

Although there have been considerable discussions on the business value of adopting blockchain in supply chains, it is unclear whether such blockchain-enabled supply chains…

3097

Abstract

Purpose

Although there have been considerable discussions on the business value of adopting blockchain in supply chains, it is unclear whether such blockchain-enabled supply chains (BESCs) can help firms mitigate the negative impact resulting from the recent COVID-19 pandemic. This study aims to answer this important question.

Design/methodology/approach

The authors conduct an event study to quantify the financial effects of the COVID-19 pandemic and compare the differences in such effects between treatment firms that have adopted BESCs and matched control firms that have not adopted BESCs. The authors also perform a regression analysis to examine how the role of BESCs in mitigating COVID-19's negative impact varies across firms with different levels of supply chain leanness and complexity. The analysis is based on 88 treatment firms and 88 matched control firms, all of which are publicly listed on the US stock markets.

Findings

The test results suggest that although both the treatment and control firms are negatively affected by the COVID-19 pandemic, the effect is less negative for the treatment firms compared to the control firms, demonstrating the role of BESCs in mitigating the negative impact caused by the COVID-19 pandemic. Moreover, the mitigating role of BESCs is more pronounced for firms with lean and complex supply chains.

Originality/value

This study is among the first to provide empirical evidence on the mitigating role of BESCs during the COVID-19 pandemic, highlighting the importance of adopting blockchain in supply chains with high uncertainties and disruption risks.

Details

International Journal of Operations & Production Management, vol. 41 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

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Article
Publication date: 25 February 2021

Francesco Schiavone, Alberto Ferraris, Samuel Fosso Wamba and Sanjay Kumar Singh

85

Abstract

Details

Journal of Intellectual Capital, vol. 22 no. 2
Type: Research Article
ISSN: 1469-1930

Available. Content available

Abstract

Details

Industrial Management & Data Systems, vol. 123 no. 1
Type: Research Article
ISSN: 0263-5577

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