The Effects of Artificial Intelligence on Business Performance

AI and Modern Business

Forschungsarbeit , 2024 , 65 Seiten , Note: 1

Informatik - Künstliche Intelligenz

This thesis examines the influence of Artificial Intelligence (AI) on company performance as well as the problems that Ghanaian organizations confront while adopting and deploying AI technologies. The study uncovers useful insights into the perceptions of AI's function in corporate operations and the difficulties encountered during its integration through a comprehensive poll of 104 participants. According to the demographic research, the majority of respondents were males between the ages of 21 and 40, with a bachelor's degree. The study's first objective, focusing on the role of AI on business performance, reveals a robust positive correlation between AI adoption and business performance. Participants unanimously acknowledge AI's transformative effects on various aspects of business operations, such as enhancing efficiency, decision-making, innovation, customer satisfaction, error reduction, competitive advantage, and personalization of offerings. However, the study's second objective sheds light on the challenges and barriers hindering the seamless adoption of AI technologies. Respondents identify key challenges, including a lack of skilled AI professionals, limited awareness, financial constraints, data privacy concerns, absence of a clear AI strategy, and resistance to change. These challenges indicate the need for targeted interventions to overcome obstacles in integrating AI effectively within Ghanaian enterprises.

Inhaltsverzeichnis (Table of Contents)

• CHAPTER ONE
  • INTRODUCTION
  • 1.1 Background
  • 1.2 Problem Statement
  • 1.3 Research Objectives
  • 1.4 Research Questions
  • 1.5 Overview of Methodology
  • 1.6 Significance of the Study
  • 1.7 Organization of the Study
• CHAPTER TWO
  • LITERATURE REVIEW
  • 2.1 Introduction
  • 2.2 Conceptual Review
    • 2.2.1 Artificial Intelligence
    • 2.2.2 Business Performance
  • 2.3 Theoretical Review
    • 2.3.1 Technology Acceptance Model (TAM)
    • 2.3.2 Social Cognitive Theory (SCT)
  • 2.4 Empirical Review of Literature
  • 2.5 Conceptual Framework
    • 2.5.1 Artificial Intelligence and Business Performance
• CHAPTER THREE
  • METHODOLOGY
  • 3.1 Introduction
  • 3.2 Research Design
  • 3.3 Population of the Study
  • 3.4 Sampling Technique and Sample Size
  • 3.5 Method of Data Collection

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This thesis examines the impact of Artificial Intelligence (AI) on business performance in Ghana. The research explores the benefits and challenges faced by Ghanaian organizations in adopting and deploying AI technologies.

• The relationship between AI adoption and business performance in Ghanaian organizations.
• The benefits and challenges of integrating AI into business operations in Ghana.
• The perceptions of AI's role in business operations and the difficulties encountered during its integration.
• The impact of age and experience on AI engagement, business performance, and challenges related to adopting new technology.
• The need for targeted interventions to overcome obstacles in integrating AI effectively within Ghanaian enterprises.

Zusammenfassung der Kapitel (Chapter Summaries)

• Chapter One introduces the research topic, problem statement, research objectives, research questions, overview of methodology, significance of the study, and organization of the study.
• Chapter Two provides a comprehensive literature review encompassing conceptual, theoretical, and empirical perspectives on Artificial Intelligence (AI) and its influence on business performance. This chapter also examines relevant theories such as the Technology Acceptance Model (TAM) and the Social Cognitive Theory (SCT), and presents a conceptual framework outlining the relationship between AI and business performance.
• Chapter Three details the research methodology employed in the study, including the research design, population of the study, sampling technique and sample size, and method of data collection.

Schlüsselwörter (Keywords)

The key terms and concepts explored in this thesis include Artificial Intelligence (AI), business performance, adoption of AI, Ghanaian organizations, challenges of AI adoption, benefits of AI, technology acceptance, social cognitive theory, data privacy, change management, and AI strategy. The research focuses on understanding the impact of AI on business operations in Ghana, the barriers to AI adoption, and the potential for leveraging AI to achieve sustainable business growth.

• Hochschule: Kwame Nkrumah University of Science and Technology (UNIVERSITY)
• Veranstaltung: BUSINESS ADMINISTRATION(INTERNATIONAL BUSINESS)
• Note: 1
• Autoren: Clint Amaning (Autor:in), James Adjei (Autor:in), Agyei Rita Ohenewaah (Autor:in), Adom Bismark Kofi (Autor:in)
• Erscheinungsjahr: 2024
• Seiten: 65
• Katalognummer: V1484019
• ISBN (eBook): 9783389054529
• ISBN (Buch): 9783389054536
• Sprache: Englisch
• Schlagworte: A.I, coding