Option 1: Critical review on AI
Students will conduct a critical review on one of the subjects listed below. A critical review requires that the student conduct an extensive literature search, critically evaluate the content, synthesizes and analyzes evidence from diverse sources, and presents the analysis results in a logical, coherent and engaging way. The student will gain a comprehensive understanding of AI and its applications in various business sectors by exploring the recent AI developments, practices, and scholarly articles to familiarize with the subject matter
A written paper (around 3,000 words, except references in APA style) must be submitted.
Grading Rubric
Evaluation
items and criteria
(Structure
and content comprehensiveness, relevancy, accuracy and quality of the report)
Ratings
Points
Excellent
Average
Marginal
Abstract
5
3
1
Introduction
(overview of the topic and
identification of the research focus)
15
8
3
Description and evaluation of articles
and evaluation criteria (e.g., effectiveness, fairness)
10
5
2
Synthesis and argumentation
(results and implications, limitations)
20
12
6
Conclusions and recommendations
7
4
2
References
3
2
1
60
Sample topics:
· Strategic implications of AI for competitive advantage in various industries
· Assessing the ROI of AI investments in organizations
· Adoption and implementation issues and challenges of AI technologies in business environments
· Change management strategies for successful AI adoption and integration
· The role of AI in knowledge management and organizational learning
· AI-driven customer relationship management (CRM) systems and their effects on customer satisfaction and loyalty
· AI-based fraud detection and prevention mechanisms in financial institutions
· Managing AI-enabled virtual assistants and chatbots for customer support
· The role of AI in enhancing human resource management such as talent acquisition processes
· The impact of AI on privacy and data protection in organizations
· AI-powered risk management systems and their effectiveness in mitigating risks
· Managing bias and fairness issues in AI algorithms and decision-making processes
Option 2: AI case analysis
Students will conduct a research to examine an AI case analysis of their own choice. Students are encouraged to utilize a variety of resources including news media, practitioner journals, and academic journals. Students will outline and analyze the case by addressing both organizational and technological aspects to gain a deeper understanding of how an AI application is planned, developed, and used by businesses and organizations.
A written paper (around 3,000 words, except references in APA style) must be submitted.
Grading Rubric
Evaluation
items and criteria
(Structure
and content comprehensiveness, relevancy, accuracy and quality of the report)
Ratings
Points
Excellent
Average
Marginal
Abstract
5
3
1
Case introduction
(organization background, technology
background, objectives of the case analysis)
10
5
2
Analysis of the case (STAR: situation,
tasks and activities, actions taken, and results)
20
12
6
Synthesis and argumentation
(results and implications, limitations)
15
8
3
Conclusions and recommendations
7
4
2
References
3
2
1
60
