The Role of AI in Modern Business Communication
Wahidur Rahman · Zenodo (CERN European Organization for Nuclear Research) · 2025
This thesis presents a comprehensive exploration of how Artificial Intelligence (AI) is transforming the field of Business Communication. It addresses the strategic, technological, and ethical dimensions of integrating AI into corporate communication systems. The work focuses on both internal (employee-to-employee, management-to-staff) and external (client, customer, stakeholder) communication, examining real-world practices and future trends. 🎯 Purpose of the Research: The primary aim is to investigate: How AI tools (like chatbots, virtual assistants, NLP platforms, etc.) are changing business communication dynamics. The balance between automation and human empathy. Challenges such as data privacy, bias, and job displacement. The future trajectory of Human-AI interaction in communication roles. 📚 Research Scope and Coverage: AI Applications in business communication (chatbots, CRMs, generative AI) Human-AI collaboration in the workplace Ethical dilemmas in AI-mediated communication Industry-specific case studies (Amazon, IBM, Deloitte) Quantitative survey with 100+ professionals across sectors Strategic recommendations for AI adoption in business contexts 🧪 Methodology: This is a mixed-method research combining both qualitative and quantitative approaches: Qualitative: Case studies of major companies implementing AI Thematic analysis of interviews with professionals and executives Quantitative: Survey of over 100 business professionals from multiple industries Use of statistical tools to analyze trust, efficiency, and challenges with AI Sampling Method: Purposive sampling targeting individuals directly using AI in business communication 📈 Key Findings: 80% of professionals agree that AI improves communication speed and accuracy. 70% believe AI lacks empathy for sensitive tasks. Majority support AI for routine communication but express concern over ethical use. Trust in AI is higher when its decision-making process is transparent and explainable. Companies with hybrid human-AI systems perform better in client satisfaction metrics. 🌐 Contribution to Knowledge: Original Contribution: The thesis is among the first to deeply analyze Human-AI communication interactions from both corporate and emotional intelligence perspectives. Practical Value: It offers organizations a framework for ethical AI implementation, balancing efficiency with human connection. Academic Relevance: Bridges gaps in literature by combining theories of communication, AI technology, and workplace behavior. 🧩 Structure Overview: Introduction: Sets the context and background. Literature Review: Reviews communication theories and AI research. Objectives & Questions: Clear goals and research queries. Methodology: Explains the design, tools, and data analysis. Findings: Insights from case studies and surveys. Discussion: Interpretation and implications. Recommendations: Strategic suggestions for businesses. Future Scope: Research areas for further exploration. Conclusion: Wrap-up and reflection on the findings. References & Appendices: Supporting materials and sources. 📌 Who Should Read This Thesis? Business leaders exploring AI adoption in communication Communication managers and HR executives Business and management students Researchers in organizational behavior, digital transformation, and AI ethics Policy-makers developing frameworks for AI use in workspaces 🏛️ Potential for Publication: This thesis is well-positioned for publication in academic journals such as: Journal of Business Communication AI & Society Harvard Business Review (Digital Transformation section) Journal of Management Information Systems