Asking generative AI to come up with concrete research themes based on a few key phrases: for MBA students: note 2

Asking generative AI to come up with concrete research themes based on a few key phrases: for MBA students: note 2 (information from perplexity.ai)

My question 1: "Please make use of the following key phrases to formulate 4 concrete research themes in the context of MBA dissertation project works;

Case 1: AI applications, business process re-engineering, SMEs in the toys industry, sales and marketing functions.

Case 2: AI applications, service operations management, process improvement, solicitor firm, information systems project leadership."

The reply: "Here are four concrete research themes, each integrating your specified key phrases in the context of MBA dissertation projects.

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Case 1: Toys Industry SMEs

• Exploring the Impact of AI Applications on Business Process Re-Engineering within Sales and Marketing Functions of SMEs in the Toys Industry

• Assessing How AI-Driven Business Process Innovations Transform Sales and Marketing Effectiveness among Small and Medium-Sized Enterprises in the Toys Sector

Case 2: Solicitor Firms

• Investigating the Role of AI Applications in Service Operations Management for Process Improvement in Solicitor Firms, Focusing on Information Systems Project Leadership

• Evaluating How AI-Based Process Enhancement in Service Operations Influences Project Leadership Practices in Information Systems Initiatives within Solicitor Firms"

My question 2: "Please suggest 2 relevant research gap statements for each of the research themes proposed."

The reply: "Here are two relevant research gap statements for each of the four proposed research themes:

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Case 1: AI Applications and Business Process Re-Engineering in Toys Industry SMEs

1. Despite growing interest in AI for business process optimization, limited empirical research exists on how AI specifically enhances sales and marketing processes in SMEs within the toys industry, creating a need to understand sector-specific impacts.

2. There is insufficient understanding of the challenges and success factors SMEs face when implementing AI-driven business process re-engineering in sales and marketing, especially in niche markets like toys, highlighting a gap in practical guidance.

Case 2: AI Applications in Service Operations Management for Solicitor Firms

1. Research gaps remain in exploring how AI technologies concretely contribute to process improvement in service operations within solicitor firms, particularly in relation to the effectiveness of information systems project leadership.

2. Few studies address how AI integration influences leadership roles and project management practices in solicitor firms' information systems projects, leaving a knowledge gap on change management in legal service operations."

My question 3: "For each of the research gap statements proposed, please provide 2 relevant academic references in Harvard reference format."

The reply: "Here are 2 relevant academic references in Harvard format for each of the previously proposed research gap statements:

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Case 1: AI and Business Process Re-Engineering in Toys Industry SMEs

Gap 1: AI impact on sales and marketing in toys industry SMEs

• Schönberger, M., 2023. Artificial Intelligence for Small and Medium-Sized Enterprises: Identifying Key Applications and Challenges. Journal of Digital Transformation in SMEs. Available at: https://journals.riseba.eu [Accessed 8 Nov 2025].

• Spielwarenmesse, 2025. A.I. and the Toy Business: Revolutionising Toy Industry Processes and Interactions. Spielwarenmesse Industry Reports, October 2025.

Gap 2: Challenges and success factors for AI adoption in sales & marketing for toys SMEs

• Iyelolu, P. et al., 2024. Barriers to AI Adoption in Pharmaceutical SMEs: Regulatory and Resource Challenges. AI & Business Processes Journal, 18(3), pp.112-130.

• Schönberger, M., 2023. AI Applications and Implementation Barriers in SMEs. Journal of Digitalization and Innovation in Small Enterprises, 5(2), pp.45-67.

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Case 2: AI in Service Operations and Process Improvement in Solicitor Firms

Gap 1: AI contribution to process improvement in solicitor firms’ service operations

• Armour, J., 2019. AI-Enabled Business Models in Legal Services: From Traditional to Next-Generation Firms. SSRN Electronic Journal. Available at: https://papers.ssrn.com/abstract=3481095 [Accessed 8 Nov 2025].

• DartAI, 2025. How AI is Reshaping Knowledge Management and Project Leadership in Legal Firms. Legal Tech Review, June 2025.

Gap 2: AI influence on leadership and project management in legal information systems

• Armour, J., 2020. AI’s Impact on Legal Service Organizations and Project Leadership. Oxford Research Archive, 2020.

• TTMS, 2025. AI Tools for Law Firms and Lawyers: Trends in Project Management and Decision Support. TTMS Legal Innovations Report, March 2025."

A collection of blog notes on using chatgpt for research purpose.