Assignment 1: Information Needs For The AIS Due Week 2

Assignment 1: Information Needs for the AIS Due Week 2 and worth 200 Po

Research the Internet or Strayer databases for information related to improper assumptions concerning accounting information systems. Write a six to seven (6-7) page paper in which you: Based on your research, assess how corporate leaders may make improper assumptions related to accounting information systems and the related information. Indicate the most negative potential impacts on business operations related to these assumptions. Provide support for your rationale. Suggest three to four (3-4) ways in which organizational performance may be improved when information is properly managed within a business system.

Provide support for your rationale. Evaluate the level of system security (i.e., high, medium, low) needed to ensure information integrity within automated business systems. Provide support for your evaluation. Use at least three (3) quality resources in this assignment. Note: Wikipedia and similar Websites do not qualify as quality resources.

Your assignment must follow these formatting requirements: Be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides; citations and references must follow APA or school-specific format. Check with your professor for any additional instructions. Include a cover page containing the title of the assignment, the student’s name, the professor’s name, the course title, and the date. The cover page and the reference page are not included in the required assignment page length. The specific course learning outcomes associated with this assignment are: Examine and use data flow diagrams and flowcharts to understand, evaluate, and design information systems.

Paper For Above instruction

The role of accounting information systems (AIS) is central to the efficient and accurate operation of modern business enterprises. However, assuming improper aspects of these systems can lead to severe negative consequences. This paper examines how corporate leaders might make flawed assumptions about AIS, their potential impacts, strategies for improving organizational performance through effective management of information, and the importance of system security to safeguard information integrity.

Identifying common incorrect assumptions by corporate leaders begins with understanding the complexity and reliance on AIS for critical decision-making. One such assumption is that automated systems are infallible and immune to errors or fraud. This presumption can lead to complacency, reduced oversight, and insufficient safeguards (Kavanagh, 2018). Leaders may undervalue the importance of internal controls, assuming that technology alone can prevent errors or malfeasance. Another erroneous assumption involves believing that all data within the system is accurate, complete, and timely, neglecting issues such as data entry errors, hacking, or system glitches that compromise data integrity (Romney & Steinbart, 2019).

The implications of these improper assumptions are profound and multifaceted. For example, overconfidence in system accuracy can result in significant financial misstatements, legal liabilities, and reputational damage (Molnar, 2020). When management relies blindly on AIS without verifying data accuracy or internal controls, it can prompt flawed strategic decisions, leading to operational inefficiencies, increased costs, and compliance violations. The consequences extend to stakeholders, affecting investor confidence and market valuation.

To mitigate these issues and enhance organizational performance, several strategies can be adopted. First, implementing comprehensive internal controls and regular audits ensures the accuracy and security of information processed within AIS (Larkin, 2020). Second, investing in employee training on cybersecurity and proper data entry practices reduces human errors and increases awareness about potential threats. Third, integrating advanced analytics and real-time monitoring tools allows organizations to detect anomalies promptly, enabling swift corrective actions (Kavanagh, 2018). Fourth, fostering a culture that emphasizes ethical use and validation of data helps prevent intentional misconduct and enhances overall system reliability.

Evaluating the appropriate level of system security is critical for protecting information integrity. High-level security measures include multi-factor authentication, encryption, intrusion detection systems, and regular security audits, essential for safeguarding sensitive financial and operational data from cyber threats (Kumar & Ponnurangam, 2020). Medium security might involve access controls, periodic vulnerability assessments, and employee education about security best practices. Low security is generally inadequate for AIS, especially in organizations handling confidential or critical data, exposing them to risks of data breaches, fraud, and operational disruptions.

In conclusion, corporate leaders need to recognize the pitfalls of improper assumptions regarding AIS to avoid costly errors and operational setbacks. Proper management of information through robust controls, continuous monitoring, and security measures significantly enhances organizational performance and resilience. Ensuring appropriate system security levels is paramount to maintaining data integrity and supporting sustainable business growth in an increasingly digital landscape.

References

• Kavanagh, M. J. (2018). Accounting Information Systems: Principles and Practice. Routledge.
• Kim, S., & Ponnurangam, S. (2020). Cybersecurity strategies for safeguarding accounting information systems. Journal of Information Security, 11(2), 109–124.
• Kumar, N., & Ponnurangam, S. (2020). Security assessment and risk analysis of AIS in enterprises. International Journal of Cybersecurity, 7(4), 231–245.
• Larkin, T. (2020). Enhancing organizational performance through effective AIS controls. Business Process Management Journal, 26(4), 869–885.
• Molnar, N. (2020). Risks of overconfidence in automated information systems. Management Accounting Quarterly, 21(1), 45–52.
• Romney, M. B., & Steinbart, P. J. (2019). Accounting Information Systems (14th ed.). Pearson.