Asking AI to come up with an MBA research theme and dissertation proposal: AI-enabled music entertainment service

Asking AI to come up with an MBA research theme and dissertation proposal: AI-enabled music entertainment service (information from perplexity.ai)

My question 1: "Please suggest an MBA research theme, via the pragmatism lens, based on the following key words: AI-enabled services to consumers, the music entertainment sector in Hong Kong, service innovation"

The reply: "Pragmatism emphasizes practical, real-world outcomes and experiential testing over abstract theorizing, making it ideal for exploring how AI-enabled services drive service innovation in Hong Kong's music entertainment sector.

Proposed Research Theme

Pragmatic Evaluation of AI-Enabled Consumer Services for Service Innovation in Hong Kong's Music Entertainment Sector. This theme investigates what "works" in practice—such as personalized AI recommendations, generative music tools, or virtual concert experiences—by blending mixed methods to assess consumer engagement, revenue impacts, and competitive edges for local firms like streaming platforms or live event organizers.

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Key Research Issues

Hong Kong's music sector faces digital disruption from AI-generated content flooding platforms like Spotify, reducing human artist royalties and market share. Local firms struggle to innovate consumer services amid regulatory gaps and competition from global AI tools like Suno or Udio. Limited empirical data exists on pragmatic adoption strategies tailored to Hong Kong's unique Cantopop culture and high mobile penetration.

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Research Objectives

Examine how AI tools enhance consumer experiences (e.g., hyper-personalized playlists) and test their real-world viability for innovation in Hong Kong music firms. Identify barriers like copyright concerns or skill gaps, using experiential feedback to propose actionable strategies. Develop frameworks for sustainable service models that balance AI efficiency with cultural relevance and profitability.

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Suggested Research Questions

• How do Hong Kong music consumers and firms pragmatically perceive value in AI-enabled services, such as generative tracks or AI-curated events?

• What experiential factors (e.g., usage data, trials) drive service innovation outcomes like retention or revenue in the sector?

• Which mixed-method interventions overcome adoption barriers for AI in local music entertainment?

Pragmatism Application

Pragmatism guides a multi-method approach: quantitative metrics (e.g., streaming analytics, A/B tests) paired with qualitative insights (e.g., consumer interviews, firm case studies) to iteratively refine "what works." This yields practical recommendations, such as AI ethics guidelines or hybrid human-AI models, enhancing originality for your MBA while addressing Hong Kong's entertainment growth at 2.26% CAGR through digital shifts."

My question 2: "Based on the proposed research theme, via the pragmatism lens, please come up with an MBA dissertation project proposal for part-time MBA students with the following elements:

1. Dissertation report title

2. 3 research issues (including research gaps) and 3 Hong Kong public media reported issues

3. 4 research objectives and 3 research questions

4. 2 primary research methods and 1 secondary research method

5. 3 service business and service innovation related academic theories (with a reference list in Harvard reference format)

6. A brief justification of the dissertation proposal in terms of academic, practical and originality value."."

The reply: "

Dissertation Report Title

Pragmatic Evaluation of AI-Enabled Consumer Services for Driving Service Innovation in Hong Kong's Music Entertainment Sector.

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Research Issues

Academic Research Issues and Gaps

Hong Kong's music sector lags in adopting AI for consumer services like personalized streaming or generative content, with scant studies on pragmatic outcomes such as user retention or revenue gains. Empirical gaps exist in mixed-method evaluations of AI's role in overcoming digital disruptions, particularly through experiential testing rather than theoretical models. Limited research addresses cultural integration of AI in Cantopop ecosystems, ignoring pragmatism's focus on what practically "works" for local innovation.

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Hong Kong Public Media Reported Issues

Cantopop revenues have plunged over 70% since peaks due to mainland censorship pressures and K-pop/Mandopop competition, pushing artists to diversify amid self-censorship fears (BBC, 2016). High rents, small venues, and uneven pandemic subsidies hinder live music venues, with indie scenes overshadowed by dominant Cantopop and zoning restrictions limiting growth (HKBU, 2022). Concert economy thrives with tourism boosts from K-pop/Mandopop events like NJZ and Jay Chou tours, yet faces challenges in retaining visitors and countering bad behavior at festivals like Clockenflap (SCMP, 2024-2025).

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Research Objectives and Questions

Research Objectives

To pragmatically assess AI-enabled services' impact on consumer engagement in Hong Kong music firms through real-world trials. To identify innovation barriers and enablers via experiential data from stakeholders. To test service delivery improvements using mixed methods for actionable strategies. To propose frameworks blending AI with local culture for sustainable revenue models.

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Research Questions

How do Hong Kong music consumers experience value from AI services like personalized playlists or virtual events? What pragmatic factors enable or hinder AI-driven service innovation in local firms? Which interventions optimize AI for cultural relevance and profitability in the sector?

Research Methods

Primary Methods

Surveys of 200+ consumers and 20 firm managers to gather quantitative usage data and qualitative experiences, enabling pragmatic validation of "what works." In-depth interviews and focus groups with artists, executives, and users for experiential insights on AI adoption.

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Secondary Method

Analysis of industry reports, media articles, and HK music market data (e.g., PwC forecasts) to contextualize trends and gaps.

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Relevant Theories

Service-Dominant Logic (SDL) views value co-creation through consumer-firm interactions, pragmatically fitting AI personalization in music services. Service Innovation Types (Den Hertog) classify AI as new/core/delivery/supplementary innovations, tested via practical outcomes. Jobs-to-be-Done (JTBD) focuses on consumer "jobs" AI fulfills, like discovery, emphasizing experiential efficacy.

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Harvard Reference List

Den Hertog, P. (2000) 'Knowledge-Intensive Business Services as Co-Producers of Innovation', International Journal of Innovation Management, 4(4), pp. 491-528.

Moeller, S. (2008) 'Customer Integration—A Key to an Implementation Perspective of Service Provision', Journal of Service Research, 11(2), pp. 197-210.

Ulwick, A.W. (2005) 'What Customers Want: Using Outcome-Driven Innovation to Create Breakthrough Products and Services', McGraw-Hill.

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Proposal Justification

Academically, it advances pragmatism in service innovation via mixed methods, filling AI-music gaps in Asian contexts. Practically, it equips HK firms with tested AI strategies amid competition and tourism recovery. Originality lies in culturally attuned, experiential focus on Cantopop AI services, leveraging local media issues for novel, actionable insights."

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