| Course | MAN-3730 Managerial Communications |
|---|---|
| Module | Module 6 |
| Paper type | Written assignment 6: emerging issues in managerial communication |
| Length | About 806 words, 5 pages |
| Format | APA 7 student paper |
| School | Thomas Edison State University |
| Program | Bachelor of Science in Business Administration |
| Updated | October 2026 |
Free sample paper for MAN 3730 Module 6
Faster Notices, Wrong Lease Terms: Generative AI in a Property Manager's Communication
Student Name
Bachelor of Science in Business Administration, Thomas Edison State University
MAN-3730: Managerial Communications
Mentor Name
Month Day, Year
Faster Notices, Wrong Lease Terms: Generative AI in a Property Manager's Communication
Introduction
Each generation of communication technology raises new questions for managers. Veltsos and Hynes (2022) treat emerging issues as a standing part of managerial communication, since tools change faster than norms and managers must decide how their organizations will use them responsibly. Generative artificial intelligence, which drafts text from a short prompt, is the most visible current example. This report examines its use at Front Range Property Group, a composite company with 130 employees that manages apartment communities and small commercial buildings in Colorado.
The Situation
Without a formal decision, leasing and maintenance staff began using a generative AI tool last year to draft tenant notices, responses to maintenance requests and monthly reports to property owners. Managers estimate that routine messages now take about a third less time, and newer staff say the tool helps them write professionally. Problems have followed. Two rent increase notices stated lease terms the tool had invented rather than the terms in the tenants' actual leases, and had to be withdrawn. Several tenants complained that responses about serious maintenance problems felt generic and cold. One owner asked whether the monthly reports were written by a person at all.
Analysis: What Kind of Communication Is This?
Hancock et al. (2020) define AI-mediated communication as interpersonal communication in which an intelligent agent operates on behalf of a communicator by modifying, augmenting or generating messages to accomplish communication goals. They note that this changes questions of authorship, self-presentation and responsibility: the message still comes from the sender, but the sender may not have chosen its words. For managers, the key point is that responsibility does not transfer to the tool. A notice with invented lease terms is the company's error, and in a regulated activity such as residential leasing, inaccurate notices can create legal exposure as well as tenant distrust.
Analysis: Benefits and Trust
The productivity gains are real. Brynjolfsson et al. (2025), studying more than 5,000 customer support agents at a software firm, found that access to a generative AI assistant raised the number of issues resolved per hour by about 14 percent on average and by about 34 percent for novice and lower-skilled workers, with little effect on the most experienced. That pattern matches Front Range's experience that newer staff benefit most.
Trust is the risk. Jakesch et al. (2019), studying online profiles, found that when readers believed some texts in a set were written by AI and others by people, they rated the texts they suspected were AI-generated as less trustworthy. Tenants and owners who sense that a message is generic may infer that no one paid attention to their problem, which is the complaint Front Range has heard.
| Use | Benefit | Risk | Control needed |
|---|---|---|---|
| Routine notices | Speed and consistency | Invented facts or terms | Facts drawn from lease system; human review |
| Maintenance responses | Faster acknowledgment | Impersonal tone on serious issues | Personal reply for urgent or sensitive cases |
| Owner reports | Clearer formatting | Doubts about authorship | Manager review and disclosure of AI assistance |
Recommendations
Front Range should adopt a short generative AI communication policy. First, every AI-assisted message must be reviewed by the sender before it is sent, and any fact, amount, date or legal term must come from the company's records rather than the draft. Second, the tool should not be used to draft messages about evictions, legal disputes, safety emergencies or habitability problems; those require a personal reply. Third, the company should tell owners in its service agreement that staff use AI tools for drafting under human review, so the practice is transparent. Fourth, the company should approve one tool that does not retain tenant information for training and prohibit pasting personal data into others. Finally, managers should review a sample of messages monthly for accuracy and tone.
Trade-offs
Review requirements reduce some of the time savings, and limiting use for sensitive messages means those still take longer. Disclosure may prompt questions from some owners. These costs protect the company's accuracy and trust, which are what tenants and owners pay for.
Introducing the Policy
The policy should be introduced in short team meetings rather than by email alone, with examples of acceptable and unacceptable uses drawn from the company's own messages, names removed. Staff should be invited to suggest uses the policy has missed, and the policy should be reviewed after three months, since the tools change quickly and staff will find both new benefits and new risks.
Conclusion
Generative AI is making Front Range's routine communication faster, especially for newer staff, as research would predict. Without rules, it has also introduced invented facts and an impersonal tone that undermine trust. A policy built on human review, accurate source data, limits for sensitive messages and transparency lets the company keep the gains while remaining responsible for every message it sends.
References
Brynjolfsson, E., Li, D., & Raymond, L. (2025). Generative AI at work. Quarterly Journal of Economics, 140(2), 889-942. https://doi.org/10.1093/qje/qjae044
Hancock, J. T., Naaman, M., & Levy, K. (2020). AI-mediated communication: Definition, research agenda, and ethical considerations. Journal of Computer-Mediated Communication, 25(1), 89-100. https://doi.org/10.1093/jcmc/zmz022
Jakesch, M., French, M., Ma, X., Hancock, J. T., & Naaman, M. (2019). AI-mediated communication: How the perception that profile text was written by AI affects trustworthiness. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-13). ACM. https://doi.org/10.1145/3290605.3300469
Veltsos, J. R., & Hynes, G. E. (2022). Managerial communication: Strategies and applications (8th ed.). SAGE.
Reading the MAN 3730 Module 6 assignment instructions
The final MAN-3730 written assignment, tied to Module 6 on emerging issues, asks you to analyze a current development in managerial communication, such as new technology, remote work or changing expectations of transparency. Choose an issue with real consequences in a workplace, describe the situation objectively, and use current research beyond the textbook to explain benefits and risks. Recommend a policy or practice that addresses the risks while keeping the benefits, and acknowledge its costs. Because emerging issues change quickly, use recent sources and date the facts you rely on. Write in the third person and APA format. Explain who is responsible when the new practice goes wrong, since that question tests any policy.
How this MAN 3730 Module 6 example is built
The report starts with a real problem in a specific organization, not a general essay on technology. It defines the issue with a research framework, then weighs benefits and risks with two empirical studies, one on productivity and one on trust. A table organizes uses, benefits, risks and controls, which leads directly to a five-part policy. Each policy element answers a risk identified earlier, and the trade-offs section is honest about what review costs. The conclusion connects the research to the organization's experience. Notice that responsibility for messages is treated as the manager's, whatever tool drafts them. The policy could be adopted by a manager in a week, which is the test of a practical recommendation.
MAN 3730 Module 6 rubric: what earns full marks
The final written assignment, like the others, is marked as a percentage against the rubric. For emerging issues they look for a clearly defined issue, current research beyond the textbook, and analysis that weighs benefits and risks for a specific workplace rather than speculating in general. Recommendations should be practical policies or practices tied to the risks identified. Professional third-person writing, APA citations and clear organization are expected. Papers that simply praise or condemn a new technology, or that rely on news opinion rather than research, usually score lower than balanced, evidence-based analyses that end in a workable recommendation. Balanced judgment, crediting benefits while controlling risks, earns particular credit.
Common MAN 3730 Module 6 mistakes, and how to avoid them
A common weakness in emerging-issues papers is writing a general overview of a trend without connecting it to a workplace decision. Another is citing only popular articles. Our writers can prepare MAN 3730 emerging-issue reports on the topic and scenario you choose. Start with a concrete situation in which the issue changes how people communicate at work. Find two or three recent studies that measure its effects, and list the benefits and risks they show. Then write a policy or practice that keeps the benefits, controls the risks and states who is responsible, and explain what it costs. Finally, revisit the policy after a few months, since tools and norms keep changing.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Thomas Edison State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
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MAN 3730 Module 6 questions, answered
Where can I find a free MAN 3730 Module 6 sample paper?
The sixth Managerial Communications written assignment is shown above: an analysis of generative AI in a composite property management company's tenant and owner communication.
What is AI-mediated communication?
Communication in which an AI system modifies, augments or generates messages on a person's behalf, as defined by Hancock, Naaman and Levy.
Does generative AI make workers more productive?
A large field study by Brynjolfsson, Li and Raymond found about a 14 percent gain in issues resolved per hour, with the largest gains for novice workers.
Do people trust messages they think AI wrote?
Research by Jakesch and colleagues found that readers rated texts they suspected were AI-generated as less trustworthy.
Who is responsible for an AI-drafted workplace message?
The sender and the organization; responsibility for accuracy and tone does not transfer to the tool.