Doctor of Philosophy (Ph.D.)

Management Information Systems
Texas Tech University
2009

Master of Science (M.S.)

Computer Information Systems
University of Texas at El Paso
2000

Master of Business Administration (M.B.A.)

International Business/Digital Marketing
Helsinki School of Economics and Business Administration
1998

Bachelor of Science (B.Sc.)

Computer Science; Minor: Mathematics
University of Benin
1996

Artificial Intelligence

Information Systems & Supply Chain Management

Specialty Areas: Big Data/Data Mining, Business Analysis, Quantitative Methods, Network Security/Research Methods, International Business Network/Communications Management, Information Systems

INFO 010 - Business Problem Solving

INFO 335 - Production & Operations Mgmt

INFO 330 - Database Management

INFO 370 - Systems Analysis and Design

INFO 398 - Info Systems Consulting

OSCM-500 - Ecommerce in SCM

GIST-500 - Principals of Information Systems

Leadership Excellence Program (LEP) at Howard University (Aug. 2025 – May 31, 2026)

Valued Faculty Career Champions, Center for Career Excellence, Howard University School of Business, (August 2024 – Present)

Distinguished Professor - The European Industrial Engineering and Operations Management Society, 2024

Certificate of the Chair Leadership Academy at Howard University, 2024

Excellence in Research and Service Awards in the College of Business at Arkansas Tech University, 2021

Editor-in-Chief for the International Journal of Interdisciplinary Telecommunications and Networking (IJITN)

Associate Editor, Electronic Markets--The International Journal on Networked Business

Associate Editor, International Journal of Information Technologies and Systems Approach (IJITSA)

Associate Editor, Journal of Technological Advancements (JTA)

Books

Ethics in Leadership

Ethics in Leadership is an experiential-based book that delivers common-sense methods that encourage ethical decision making, help leaders and managers build and maintain ethical organizations, and ensure that organizational decision-making processes lead to outcomes that are in fact ethical.

Using Information Technology Advancements to Adapt to Global Pandemics

Using Information Technology Advancements to Adapt to Global Pandemics provides insights and understanding on how companies and organizations are using advances in IT to adapt to global pandemics such as COVID-19. It explores how the various IT approaches can be used for strategic purposes. Covering topics such as higher education institutions, religious organizations, and telework, this premier reference source is an essential resource for government officials, business leaders and managers, industry professionals, IT specialists, policymakers, libraries, academicians, students, and researchers.

Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making

The Handbook of Research on IT Applications for Strategic Competitive Advantage and Decision Making is a collection of innovative research relevant to the methodologies, theoretical frameworks, and latest empirical research findings in information technology applications, strategic competitive advantage, and decision making. While highlighting topics including agility, knowledge management, and business intelligence, this book is ideally designed for information technology professionals, academics, researchers, managers, executives, and government officials interested in using information technology for strategic competitive advantage and better decision making.

Handbook of Research on Social and Organizational Dynamics in the Digital Era

This book covers all aspects of social issues impacted by information technology in organizations and inter-organizational structures and presents the conceptualization of specific social issues and their associated constructs

Handbook of Research on Technology Integration in the Global World

The Handbook of Research on Technology Integration in the Global World is an essential reference source that examines a variety of approaches to integrating technology through technology diffusion, e-collaboration, and e-adoption. The book explores topics such as information systems agility, semantic web, and the digital divide. This publication is a valuable resource for academicians, practitioners, researchers, and upper-level graduate students.

Book Chapters

Chapter 11: From Big Data to Big Insights: A Synthesis of Real-World Applications of Big Data Analytics in Development Methodologies for Big Data Analytics Systems: Plan-driven, Agile, Hybrid, Lightweight Approaches (pp. 263-277).

The constant changes and advancement in technology have drastically improved real-world applications in diverse industries such as healthcare, financial, education, sports, retail, and manufacturing, among others. Several domains such as marketing and logistics are using big data to make better decisions and gain competitive advantage. This book chapter provides insights and understanding, through a selective review and synthesis of real-world applications, on how different companies and/or industries are using big data analytics to facilitate more effective and efficient organizational decision-making in this new era. This chapter also discusses the implications for theory and practice in the big data age, including recommendations and ethical considerations for real-world applications of big data analytics.

Chapter 11: Green Information Systems for Sustainability in Handbook of Research on Waste Management Techniques for Sustainability (pp. 212-226).

Sustainability is a growing area of research in ecology, economics, environmental science, business, and cultural studies. Specifically, sustainable waste disposal and management is a growing concern as both solid and liquid wastes are rapidly expanding in direct correlation with population growth and improved economic conditions across regions. The Handbook of Research on Waste Management Techniques for Sustainability explores the topic of sustainable development in an era where domestic and municipal waste is becoming a concern for both human and environmental health. Highlighting a number of topics relating to pollution, green initiatives, and waste reduction in both the public and private sector, this research-based publication is designed for use by environmental scientists, business executives, researchers, graduate-level students, and policymakers seeking the latest information on sustainability in business, medicine, agriculture, and society.

Chapter 85: Cloud Computing in the 21st Century: A Managerial Perspective for Policies and Practices in Cloud Security: Concepts, Methodologies, Tools, and Applications (pp. 1734-1747).

Cloud computing has experienced explosive growth and is expected to continue to rise in popularity as new services and applications become available. As with any new technology, security issues continue to be a concern, and developing effective methods to protect sensitive information and data on the cloud is imperative. Cloud Security: Concepts, Methodologies, Tools, and Applications explores the difficulties and challenges of securing user data and information on cloud platforms. It also examines the current approaches to cloudbased technologies and assesses the possibilities for future advancements in this field. Highlighting a range of topics such as cloud forensics, information privacy, and standardization and security in the cloud, this multivolume book is ideally designed for IT specialists, web designers, computer engineers, software developers, academicians, researchers, and graduate level students interested in cloud computing concepts and security.

Chapter 12: A Comprehensive Summary Review of Internet Advertising and Online Market Places that Provides Detailed Insights and Understanding On What Information Systems Discipline is About in Marketing and Consumer Behavior: Concepts, Methodologies, Tools, and Applications (pp. 263-281).

As marketing professionals look for ever more effective ways to promote their goods and services to customers, a thorough understanding of customer needs and the ability to predict a target audience’s reaction to advertising campaigns is essential. Marketing and Consumer Behavior: Concepts, Methodologies, Tools, and Applications explores cutting-edge advancements in marketing strategies as well as the development and design considerations integral to the successful analysis of consumer trends. Including both in-depth case studies and theoretical discussions, this comprehensive four-volume reference is a necessary resource for business leaders and marketing managers, students and educators, and advertisers looking to expand the reach of their target market.

Artificial intelligence's effect and influence on multiple disciplines and sectors

Artificial intelligence's effect and influence on multiple disciplines and sectors

Artificial intelligence (AI) has a significant impact on various disciplines, fields, sectors, and industries. Companies, firms, sectors, and enterprises are investing billions of US dollars in AI to make better decisions and for competitive advantages. To date, few studies have provided a comprehensive, holistic insight into how AI impacts a wide range of disciplines and sectors simultaneously. To address this limitation, we conducted a study that draws on stakeholder theory. Our research models and frameworks offer insights into how various disciplines and sectors - including healthcare, finance, education, business, retail, and law - can effectively implement a wide range of AI systems and platforms to improve decision-making and gain a competitive advantage. Our study provides insights into how various disciplines, fields, sectors, and industries should adapt to the rapid, constant changes in AI. In addition, our study has numerous implications for both research and management.

Integrating Blockchain and Ontologies in Artificial Intelligence Regulation

Integrating Blockchain and Ontologies in Artificial Intelligence Regulation

This study proposes a novel framework that combines blockchain technology with ontologies to provide a regulation-approval record showing that AI models have passed compliance auditing. The decentralized nature of blockchain ensures no authority over the trained models. Moreover, developing a concise ontology to save AI models in compliance will reduce the cost of keeping the data on the blockchain. Adherence to this framework provides a roadmap for ensuring transparency, semantic traceability, and unified standards of compliance with international ethical and legal standards.

The Conceptual Frameworks For Global Acceptance and Use of Artificial Intelligence In The Post-Pandemic Era

The Conceptual Frameworks For Global Acceptance and Use of Artificial Intelligence In The Post-Pandemic Era

In 2024, the generative AI market was valued at $128 billion. To date, numerous firms, organisations,  governments, and institutions have invested millions and billions of dollars in artificial intelligence to make informed decisions and gain a competitive advantage. To provide a holistic view and insights on how companies and institutions can utilise artificial intelligence to solve complex real-world problems, make informed decisions, and gain a competitive advantage in the post-pandemic era, we conducted our study.  The theoretical background for our models and frameworks is stakeholder theory; this theory can be applied across all disciplines (i.e., all disciplines use information systems and AI to make better decisions and gain a competitive advantage). Our models and frameworks provide insights and understanding into  how firms, companies, organisations, governments, and institutions can adapt to and adopt a wide range of artificial intelligence platforms. Our frameworks identify the key variables that influence the acceptance and usage of artificial intelligence. Our study has many managerial and research implications.

Effects of perceived media richness on retail chatbot user experience

Effects of perceived media richness on retail chatbot user experience

This study investigates how chatbot media richness shapes shoppers' perceptions of social presence, emotions, trust and their willingness to recommend e-retailers’ chatbots. Design/methodology/approach – Data were collected from a random sample of 460 pre-recruited online shoppers in South Africa. A structured online survey was deployed. To test the research model, ADANCO was applied to run confirmatory composite analysis using modern partial least squares structural equation modelling (PLS-SEM).