Using multi-group analysis, explore the moderating effect of demographic
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Using multi-group analysis, explore the moderating effect of demographic

ADVANCED SEM

1. Using multi-group analysis, explore the moderating effect of demographic variables such as age/gender on the relationship between the constructs. 

2. Explore the moderating effect of the moderator variable provided in the model 

3. Assess the mediating role of the mediator you identified in your model. Is there full mediation or partial mediation

4. Perform Importance-Performance Map Analysis (IPMA) to determine the most important factors as well as their performance in predicting the target variable.

5. Using the latent variable scores generated from the PLS-SEM analysis run Artificial Neural Network Analysis and compare the results to those in the IPMA

6. Perform Necessary Condition Analysis to identify the necessary factor in determining the target variable.

7. Present an extensive write-up on the results from 1-5 under Advanced SEM

Possible list of topics for Bibliometric Analysis 

1. Smart farming

2. Artificial intelligence in Marketing

3. Artificial intelligence in Medicine

4. Industry 4.0

5. HR Analytics

6. Lean supply chain

7. Value co-creation 

8. Green supply chain

9. Foreign Direct Investments in Africa 

10. User-generated content

11. Influencer marketing 

12. Digital transformation

13. Systems thinking and system dynamics

14. Customer engagement

15. brand love

16. phubbing

17. internet privacy concerns

18. sharing economy

19. smart phone addiction

20. social media addiction

21. platform economy

22. circular economy

23. supply chain resilience

24. cyber loafing

25. technostress

26. dark tourism

27. medical tourism

28. volunteer tourism

29. financial literacy

30. compulsive buying

31. knowledge sharing

32. Knowledge hiding

Possible list of topics for Best-Worst Method analysis 

1. Barriers to industry 4.0 adoption in agriculture and mitigating strategies 

2. Implementation challenges to Central Bank Digital Currency and overcoming strategies 

3. Adoption barriers to blockchain technology in the Agric sector

4. Implementation challenges to e-government projects in Ghana 

5. Ethical challenges to drone technology adoption in the Agric sector 

6. Enablers of BIM technology in the construction sector  

7. Implementation Barriers to green-lean-agile manufacturing systems in the Ghanaian manufacturing sector

8. Critical Success factors for the implementation of e-government projects 

9. Factors affecting the adoption of enterprise social media 

10. Prioritizing service quality dimensions in the Ghanaian Banking sector 

11. Identifying the barriers to the adoption of alternative energy sources 

12. Critical Success factors for the forced transition to online teaching and learning during the COVID-19 pandemic

13. Implementation challenges to clean energy transition 

14. Modeling the barriers to green finance in the SME space

15. Identifying and Prioritizing barriers to sustainable construction.

Note: You can still contact me for us to agree on a different topic based on your interest

Hint
StatisticsArtificial intelligence is a wide-ranging branch of the computer science which is concerned with building the smart machines that are capable of performing the tasks which typically requires the human intelligence. Artificial Intelligence applications include the advanced web search engines, understanding human speech, recommendation systems, self-driving cars, and competing at the highe...

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