Reference no: EM133716352

Research Paper

Assignment Description:

You are expected to complete a critique and conduct a literature review to discuss a contemporary issue which an IS professional may experience and identify appropriate approaches to address this issue. The topic of your research you can select from a list provided by your coordinator. You need to search in the literature and find at least ten (10) academic research papers (references) related to this topic.

Assessment Design - Adapted Harvard Referencing:

REPORT STRUCTURE:

The Key elements of the research proposal

The following elements must be included in your research proposal:
Introduction or background to the research problem or issue, including an identification of the gap in the current research
Research question and, if possible, a thesis statement answering the question
Justification for the proposal research, i.e., why the research is needed
Preliminary literature review covering what others have already done in the area
Theoretical framework to be used in the proposed research
Statement of the contribution of the research to the general area
Proposed research methodology
Research plan and outline
Conclusion

List of references used in preparing the proposal

Possible topics

Data Privacy and Protection in the Digital Age: Examining how businesses collect, use, and protect data, and the ethical considerations involved.
Ethical Implications of Artificial Intelligence and Machine Learning: Exploring the moral dilemmas posed by autonomous systems and decision-making algorithms.
The Digital Divide and Information Equity: Investigating how the digital divide exacerbates social inequalities and exploring solutions to bridge this gap.
Cybersecurity Ethics and Responsibility: Discussing the ethical responsibilities of organizations in preventing, responding to, and disclosing cyber attacks.
The Impact of Social Media on Privacy and Democracy: Analyzing the ethical concerns related to social media's influence on privacy and democratic processes.
Ethical Considerations in Big Data Analytics: Investigating the moral issues surrounding the collection, analysis, and use of large datasets.
Surveillance Technologies and the Right to Privacy: Exploring the balance between national security, public safety, and individual privacy rights.
Intellectual Property Rights in the Digital Era: Examining the challenges and ethical considerations in protecting intellectual property in the age of easy duplication and distribution.
Ethics in E-Commerce: Analyzing consumer protection, privacy, and ethical business practices in online transactions.
Sustainable Computing and Green IT Practices: Investigating the ethical responsibility of businesses and individuals to adopt environmentally sustainable computing practices.
Accessibility in Information Technology: Exploring the ethical imperative to design and implement accessible technology for all users, including those with disabilities.
Bias in Algorithmic Decision-Making: Examining the ethical issues related to bias in algorithms and the impact on fairness and equality.
The Ethics of Cryptocurrencies and Blockchain: Investigating the moral considerations of using blockchain and cryptocurrencies, including issues of legality, anonymity, and financial ethics.
The Role of IS Professionals in Ethical Decision Making: Discussing the ethical responsibilities of IS professionals in shaping technology policy and practice.

Digital Health Information and Patient Privacy: Analyzing the ethical considerations in managing digital health records and patient data.
Ethical Hacking and Security Testing: Exploring the moral boundaries and responsibilities of ethical hacking to enhance cybersecurity.
The Future of Work: Ethics in Automation and Job Displacement: Investigating the ethical considerations of automation and artificial intelligence on employment and the workforce.
Information Censorship and Freedom of Expression Online: Examining the ethical dilemmas involved in regulating content and the balance between censorship and freedom.
The Use of IS in Monitoring and Controlling Employee Behavior: Discussing the ethical implications of workplace surveillance and monitoring practices.
Ethical Issues in Virtual and Augmented Reality: Investigating privacy, consent, and psychological impacts as immersive technologies become more prevalent.
Moral Implications of Predictive Policing and Surveillance Technologies: Delving into the ethical concerns of using data analytics in law enforcement to predict crimes before they happen and the potential for societal impacts.
The Ethics of Personalization Algorithms in Content Delivery: Examining how personalization algorithms in streaming services, news feeds, and online retail affect consumer choices and privacy.
Digital Identity and Authentication: Ethical and Security Concerns: Exploring the ethical considerations surrounding digital identities, including issues of trust, security, and the right to anonymity.
Ethical Issues in the Gig Economy Enabled by IS: Investigating the role of information systems in shaping the gig economy and the ethical considerations regarding worker rights, job security, and labor practices.
The Ethics of Autonomous Vehicles and Decision-Making Algorithms: Analyzing the moral dilemmas involved in programming autonomous vehicles, especially in situations requiring moral judgments.
Techno-Stress and Its Impact on Work-Life Balance: Discussing the ethical responsibilities of employers in managing the impact of constant connectivity and information overload on employees' well-being.

Ethics in Gaming: Virtual Economies and Behavioral Impacts: Exploring ethical issues in the gaming industry, including virtual economies, addiction, and the psychological effects of gaming.
The Role of Information Systems in Enhancing or Diminishing User Autonomy: Examining how IS can be designed and used to either support user autonomy and empowerment or lead to manipulation and control.
Ethical Considerations in Wearable Tech and Biometric Data: Investigating the privacy and ethical implications of collecting, analyzing, and sharing data from wearable technologies and biometric devices.
AI Governance and Ethical Frameworks: Discussing the development of ethical frameworks and governance models for AI and machine learning technologies to ensure they are used responsibly.