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| Autor principal: | |
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| Format: | Recurso digital |
| Idioma: | anglès |
| Publicat: |
Zenodo
2025
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| Matèries: | |
| Accés en línia: | https://doi.org/10.5281/zenodo.15834202 |
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- <p>This thesis presents a comprehensive exploration of how <strong>Artificial Intelligence (AI)</strong> is transforming the field of <strong>Business Communication</strong>. It addresses the <strong>strategic, technological, and ethical dimensions</strong> of integrating AI into corporate communication systems. The work focuses on both <strong>internal (employee-to-employee, management-to-staff)</strong> and <strong>external (client, customer, stakeholder)</strong> communication, examining real-world practices and future trends.</p> <h3> <strong>Purpose of the Research:</strong></h3> <p>The primary aim is to investigate:</p> <ul> <li> <p>How AI tools (like chatbots, virtual assistants, NLP platforms, etc.) are changing business communication dynamics.</p> </li> <li> <p>The balance between automation and human empathy.</p> </li> <li> <p>Challenges such as data privacy, bias, and job displacement.</p> </li> <li> <p>The future trajectory of Human-AI interaction in communication roles.</p> </li> </ul> <h3> <strong>Research Scope and Coverage:</strong></h3> <ul> <li> <p><strong>AI Applications</strong> in business communication (chatbots, CRMs, generative AI)</p> </li> <li> <p><strong>Human-AI collaboration</strong> in the workplace</p> </li> <li> <p><strong>Ethical dilemmas</strong> in AI-mediated communication</p> </li> <li> <p><strong>Industry-specific case studies</strong> (Amazon, IBM, Deloitte)</p> </li> <li> <p><strong>Quantitative survey</strong> with 100+ professionals across sectors</p> </li> <li> <p><strong>Strategic recommendations</strong> for AI adoption in business contexts</p> </li> </ul> <h3> <strong>Methodology:</strong></h3> <p>This is a <strong>mixed-method</strong> research combining both qualitative and quantitative approaches:</p> <ul> <li> <p><strong>Qualitative:</strong></p> <ul> <li> <p>Case studies of major companies implementing AI</p> </li> <li> <p>Thematic analysis of interviews with professionals and executives</p> </li> </ul> </li> <li> <p><strong>Quantitative:</strong></p> <ul> <li> <p>Survey of over 100 business professionals from multiple industries</p> </li> <li> <p>Use of statistical tools to analyze trust, efficiency, and challenges with AI</p> </li> </ul> </li> <li> <p><strong>Sampling Method:</strong></p> <ul> <li> <p>Purposive sampling targeting individuals directly using AI in business communication</p> </li> </ul> </li> </ul> <h3> <strong>Key Findings:</strong></h3> <ul> <li> <p>80% of professionals agree that AI improves communication speed and accuracy.</p> </li> <li> <p>70% believe AI lacks empathy for sensitive tasks.</p> </li> <li> <p>Majority support AI for routine communication but express concern over ethical use.</p> </li> <li> <p>Trust in AI is higher when its decision-making process is transparent and explainable.</p> </li> <li> <p>Companies with hybrid human-AI systems perform better in client satisfaction metrics.</p> </li> </ul> <h3> <strong>Contribution to Knowledge:</strong></h3> <ul> <li> <p><strong>Original Contribution:</strong> The thesis is among the first to deeply analyze <strong>Human-AI communication interactions</strong> from both corporate and emotional intelligence perspectives.</p> </li> <li> <p><strong>Practical Value:</strong> It offers organizations a <strong>framework for ethical AI implementation</strong>, balancing efficiency with human connection.</p> </li> <li> <p><strong>Academic Relevance:</strong> Bridges gaps in literature by combining theories of communication, AI technology, and workplace behavior.</p> </li> </ul> <h3> <strong>Structure Overview:</strong></h3> <ol> <li> <p><strong>Introduction:</strong> Sets the context and background.</p> </li> <li> <p><strong>Literature Review:</strong> Reviews communication theories and AI research.</p> </li> <li> <p><strong>Objectives & Questions:</strong> Clear goals and research queries.</p> </li> <li> <p><strong>Methodology:</strong> Explains the design, tools, and data analysis.</p> </li> <li> <p><strong>Findings:</strong> Insights from case studies and surveys.</p> </li> <li> <p><strong>Discussion:</strong> Interpretation and implications.</p> </li> <li> <p><strong>Recommendations:</strong> Strategic suggestions for businesses.</p> </li> <li> <p><strong>Future Scope:</strong> Research areas for further exploration.</p> </li> <li> <p><strong>Conclusion:</strong> Wrap-up and reflection on the findings.</p> </li> <li> <p><strong>References & Appendices:</strong> Supporting materials and sources.</p> </li> </ol> <h3> <strong>Who Should Read This Thesis?</strong></h3> <ul> <li> <p>Business leaders exploring AI adoption in communication</p> </li> <li> <p>Communication managers and HR executives</p> </li> <li> <p>Business and management students</p> </li> <li> <p>Researchers in organizational behavior, digital transformation, and AI ethics</p> </li> <li> <p>Policy-makers developing frameworks for AI use in workspaces</p> </li> </ul> <h3> ️ <strong>Potential for Publication:</strong></h3> <p>This thesis is well-positioned for publication in academic journals such as:</p> <ul> <li> <p><em>Journal of Business Communication</em></p> </li> <li> <p><em>AI & Society</em></p> </li> <li> <p><em>Harvard Business Review (Digital Transformation section)</em></p> </li> <li> <p><em>Journal of Management Information Systems</em></p> </li> </ul>