MGT502: AI In Business Communication

1. Start with a Summary (2-3 sentences)

Briefly describe the central theme and scope of the work. Highlight the main focus, such as AI’s role in communication, ethical considerations, or technological advancements.

2. Evaluate the Author’s Authority (2-3 sentences)

Assess the author’s credentials, affiliations, and expertise in the subject matter.

3. Identify the Intended Audience (1-2 sentences)

Specify whether the work is meant for academics, business professionals, researchers, or a general audience.

4. Compare and Contrast with Another Cited Work (2-3 sentences)

Compare your study with another author’s study, and justify your study.

5. Explain How the Work Informs Your Topic (2-3 sentences)

Justify your search and write how it informs your topic AI in Business communication

Research Paper 1:

https://wseas.com/journals/bae/2024/d225107-2790.pdf?

Annotated Bibliography: Kalogiannidis, Patitsa, and Chalaris, affiliated with reputable Greek universities, present a data-driven study on AI in business communication, emphasizing practical applications of chatbots, speech recognition, and NLP, supported by insights from 384 industry experts (WSEAS Journal). Their study, aimed at businesses, highlights AI’s efficiency in automating business interactions while acknowledging integration challenges. The study highlights benefits such as enhanced automation, accuracy, and customer engagement. Supporting these findings, a study on AI in Customer Relationship Management (CRM) indicates that AI technologies can significantly improve customer interactions by providing personalized experiences and efficient service, leading to increased customer satisfaction and loyalty (Kao, Elly, and brown, 2024). The WSEAS study significantly contributes to my research by offering empirical evidence on AI’s practical benefits, reinforcing the argument that AI-driven tools enhance business communication by improving automation, accuracy, and customer engagement. This real-world validation strengthens my analysis of AI’s growing role in business communication strategies.

Research Paper 2:

https://www.e-bcrp.org/archive/view_article?pid=bcrp-1-1-41

Annotated Bibliography: The authors— Miri Heo and Kyoung Jun Lee are affiliated with the School of Management at Kyung Hee University in Seoul, Korea. Their academic positions suggest expertise in management and technology integration. This case study targets academics and professionals interested in the practical applications of AI in business communication, particularly those focusing on chatbot technology. Comparison with Ansgar Zerfass, Jens Hagelstein, and Ralph Tench’s study, this study provides empirical insights into how communication professionals perceive and adopt AI, highlighting challenges such as limited understanding and the need for competency development. Both works discuss AI’s potential to enhance communication efficiency, but Heo and Lee offer a detailed case study, providing practical insights into chatbot deployment. Contribution to the topic, this study illustrates the practical challenges and successes in implementing AI-driven chatbots, offering valuable lessons for businesses considering similar technologies. It emphasizes the importance of user-friendly interfaces and the role of robotic process automation in effective business communication.

Research Paper 3:

https://www.acseusa.org/journal/index.php/aijbms/article/view/316

Annotated Bibliography: The article is written by Mir Mohtasam Hossain Sizan, Bizary Prava Mondal, Md Rafiqul Islam, and Md Rashed Buiya, who are affiliated with institutions such as the University of North Texas, International American University, and California State University. This study targets academics, industry professionals, and policymakers interested in understanding the impact of artificial intelligence on business communication. The study utilizes a quantitative cross-national survey of 2,375 European communication professionals to assess AI's influence on business communication. It reveals a significant positive relationship between AI usage and enhancements in communication systems, with professionals actively educating themselves and their workforce about AI applications. This empirical evidence aligns with the findings of Kalogiannidis, Patitsa, and Chalaris, who also observed AI's efficiency in automating business interactions. By offering data-driven insights into AI adoption trends and workforce adaptation, this study contributes significantly to my research, reinforcing how AI transforms business communication while necessitating strategic implementation to balance efficiency with ethical considerations.

Research Paper 4:

https://www.e-bcrp.org/archive/view_article?pid=bcrp-1-1-41

Annotated Bibliography: Miri Heo and Kyoung Jun Lee, from Kyung Hee University, provide a case study on Naver TalkTalk, analyzing how its transition to a card-based chatbot with Robotic Process Automation (RPA) improved user engagement and business efficiency. Targeting academics and professionals, the study highlights AI’s role in refining business communication tools. This aligns with Kalogiannidis et al. (WSEAS), who emphasize AI-driven automation but differ in focusing on industry-wide applications rather than a single case study. Similarly, Sizan et al. (ACSEUSA) discuss AI’s impact on communication across European businesses, stressing challenges like job displacement, contrasting Heo and Lee’s more optimistic outlook on AI integration. Sharda et al. (ResearchGate) further reinforce the need for human oversight in AI systems, highlighting ethical concerns absent in Heo and Lee’s study. By providing real-world insights into chatbot design, this study contributes to my research on AI-driven business communication, emphasizing user-friendly automation and operational benefits.

Research Paper 5:

https://diversityatlas.io/wp-content/uploads/2023/08/2022-Artificial-Intelligence-in-Business-Communication_-The-Changing-Landscape-of-Research-and-Teaching.pdf

Annotated Bibliography: The authors— Kristen M. Getchell, Stephen Carradini, and Peter W. Cardon are respected scholars in business communication, AI, and digital media. Their affiliations with esteemed universities lend credibility to their analysis. The article is aimed at academics, researchers, and educators in business communication and AI, providing insights into AI’s evolving role in professional settings. In addition to the study done by Mir Mohtasam Hossain Sizan, Bizary Prava Mondal, Md Rafiqul Islam, and Md Rashed Buiya, this study explores AI-driven communication tools like machine learning-based assistants, NLP applications, and customer interaction platforms. The research critically examines ethical concerns, including transparency, privacy, accountability, and AI’s influence on consumer behavior and employment. This work broadens my understanding of AI’s integration into workplace communication, emphasizing efficiency and collaboration. It aligns with Kalogiannidis, Patitsa, and Chalaris (2024), who also highlight AI’s potential in productivity and team dynamics. By addressing both opportunities and ethical dilemmas, the article underscores the need for responsible AI deployment in business communication.

Research Paper 6:

https://bctjournal.com/article_30.html

Annotated Bibliography: Mohammad Javad Gholami (Ferdowsi University of Mashhad, Iran) and Taqi Al Abdwani (Gulf College, Oman) are the authors of this article, scholars specializing in AI and communication. Their institutional affiliations indicate expertise in the subject matter. The article is directed at communication professionals, researchers, and AI enthusiasts interested in the technological advancements shaping contemporary communication. In addition to Miri Heo and Kyoung Jun Lee, this review examines AI applications such as virtual assistants, chatbots, sentiment analysis, and automated translation. It discusses AI’s impact across interpersonal, organizational, and societal communication, emphasizing personalization and efficiency. The study also raises concerns about AI’s long-term effects on human relationships, accessibility for vulnerable groups, and the need for further research into multimodal AI systems. This work enhances my perspective on AI’s role in communication by balancing its benefits with potential risks. It complements discussions on AI-driven efficiency while urging caution regarding ethical and social implications, reinforcing the importance of responsible AI implementation.

Research Paper 7:

https://openpublishing.library.umass.edu/cpo/article/id/32/

Annotated Bibliography: The article written by David J. Gunkel is a professor at Northern Illinois University, specializing in the intersection of communication and technology, with a focus on AI ethics. The study's intended audience is scholars and students in communication studies, as well as professionals interested in the ethical and theoretical implications of AI in communication. In comparison with Gholami and Al Abdwani’s Work, the research delves into the theoretical and ethical considerations of AI in communication, whereas Gholami and Al Abdwani focus on practical applications. Both acknowledge AI’s transformative potential but approach it from different angles—Gunkel from a philosophical standpoint and Gholami and Al Abdwani from an applied perspective. My research contributes to the work that encourages a reevaluation of communication paradigms in the context of AI, prompting readers to consider the ethical dimensions and the evolving nature of human-machine interactions.

Research Paper 8:

https://link.springer.com/article/10.1007/s10796-021-10186-w?trk=public_post_comment-text

Annotated Bibliography: The authors of the article— Ida Merete Enholm, Emmanouil Papagiannidis, Patrick Mikalef, and John Krogstie are researchers with expertise in information systems and business value creation through technology. The study is intended for Researchers, business strategists, and IT professionals interested in understanding how AI can drive business value and the factors influencing its adoption. In addition to Kristen M. Getchell, Stephen Carradini, Peter W. Cardon, Carolin Fleischmann, Haibing Ma, Jolanta Aritz, and James Stapp’s work explores AI’s impact on communication, this literature review examines the broader organizational implications of AI, including enablers and inhibitors of adoption. Both works highlight AI’s potential benefits but in different contexts—communication efficiency versus overall business value. In contribution to the topic, this review provides a comprehensive analysis of how AI technologies can create business value, offering insights into the challenges and opportunities organizations face in AI adoption.

Research Paper 9:

https://www.igi-global.com/chapter/artificial-intelligence-in-business-communication/359033

Annotated Bibliography: A Comprehensive Review of Applications, Challenges, and Future Directions" is published by IGI Global, a reputable academic publisher known for disseminating scholarly work in technology and business. This article is aimed at academics, researchers, and professionals interested in the integration of AI into business communication. The IGI Global chapter (IGI Global) explores AI’s transformative role in business communication, highlighting its potential to enhance efficiency, automate interactions, and drive future innovations. This claim is supported by the empirical study conducted by Kalogiannidis, Patitsa, and Chalaris (WSEAS Journal) , which provides real-world insights from 384 industry experts on AI’s practical applications, including chatbots, NLP, and speech recognition, reinforcing AI’s role in streamlining communication. However, Sharda et al. (ResearchGate) caution that while AI improves automation, human oversight remains critical to ensuring contextual understanding and ethical considerations. The WSEAS study significantly contributes to my research by validating AI’s efficiency in business communication while acknowledging the need for careful implementation, thus bridging theoretical perspectives with practical applications.