Influence of artificial intelligence (AI) on firm performance: the business value of AI-based transformation projects

PurposeThe 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/tech...

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Bibliographic Details
Published in:Business process management journal 2020-11, Vol.26 (7), p.1893-1924
Main Authors: Wamba-Taguimdje, Serge-Lopez, Fosso Wamba, Samuel, Kala Kamdjoug, Jean Robert, Tchatchouang Wanko, Chris Emmanuel
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Automation
Business competition
Case studies
Computers
Configurations
Data analysis
Data collection
Decision analysis
Deep learning
Evolution
Human influences
Innovations
Literature reviews
Machine learning
Machine translation
Neural networks
Optimization
Organizations
Profitability
R&D
Research & development
Transformations (mathematics)
Websites
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Summary:PurposeThe 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/approachThis 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.FindingsAI 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
ISSN:1463-7154
1758-4116
DOI:10.1108/BPMJ-10-2019-0411