A note on the topic of digitalization and management accounting in the context of Hong Kong and a review with the Socratic Method

A note on the topic of digitalization and management accounting in the context of Hong Kong and a review with the Socratic Method

 

Regarding my advanced management accounting assignment on the topic of "Using relevant academic and professional sources, critically analyse how digitalisation affects management accounting and evaluate its role in enhancing organisational performance and sustainable value creation", I would like you to clarify the following terms to me by highlighting 3 main underlying ideas on each of them from the relevant academic literature (by also showing the relevant references in Harvard reference format):

1.    digitalisation

2.    organisational performance

3.    sustainable value creation

4.    3 main strategic management accounting methods

And then, also try to suggest 4 academic claims that appear to be able to point to some form of associations between the four terms above.

 

Below is a compact conceptual foundation you can use in the assignment. The four terms are treated as interrelated constructs: digitalisation changes the information and control environment; management accounting interprets and steers that environment; organisational performance captures outcomes; and sustainable value creation broadens “value” beyond short-term financial returns.

1. Digitalisation

Digitalisation is more than converting paper records into digital files. In management accounting, it refers to the use of digital technologies—such as cloud systems, IoT sensors, analytics, AI, robotic process automation and integrated ERP platforms—to transform data generation, business processes, decision-making and organisational value creation (Vial, 2019; Moll and Yigitbasioglu, 2019).

Three underlying ideas

1.    Technology-enabled transformation of processes and decisions. Digitalisation uses technologies such as AI, software robots, cloud computing and IoT to support human tasks, automate processes and improve decision-making (Kronblad, 2020, cited in Quattrone et al., 2024). In accounting, this can move work from manual transaction processing towards analysis, forecasting and business partnering.

2.    Data intensity and real-time information. Digital technologies generate larger, faster and more varied data flows from customers, operations, supply chains and external sources (Moll and Yigitbasioglu, 2019). This enables management accountants to provide more timely, granular and predictive information rather than relying mainly on periodic historical reports.

3.    A continuum from digitisation to innovation. Digitisation is the conversion of analogue information into digital form, whereas digitalisation may progressively change processes and even create new products, services or business models (Vial, 2019; Schallmo et al., 2023). For example, IoT data may initially automate inventory records, but later support predictive maintenance, dynamic pricing and sustainability reporting.

Harvard references

• Moll, J. and Yigitbasioglu, O. (2019) ‘The role of internet-related technologies in shaping the work of accountants: New directions for accounting research’, The British Accounting Review, 51(6), 100833.
• Schallmo, D., Lang, K. and Weigold, T. (2023) ‘Digitalisation in accounting: a systematic literature review of activities and implications for competences’, Journal of Business Economics, 93, pp. 1–28.
• Vial, G. (2019) ‘Understanding digital transformation: A review and a research agenda’, The Journal of Strategic Information Systems, 28(2), pp. 118–144.

2. Organisational performance

Organisational performance refers to how effectively an organisation achieves its intended goals and creates outcomes valued by key stakeholders. It is a multidimensional construct, so an assignment should avoid treating it as merely “profit” or “sales growth” (Richard et al., 2009).

Three underlying ideas

1.    Multidimensional outcomes. Richard et al. (2009) conceptualise organisational performance through financial performance, product-market performance and shareholder return. Financial measures may include profitability and return on assets; market measures include sales growth and market share; shareholder measures include total shareholder return.

2.    Goal attainment and effectiveness. Performance concerns the extent to which an organisation accomplishes both market-oriented and financial goals (Yamin, Gunasekaran and Mavondo, 1999). In a management accounting context, this includes achieving cost, quality, delivery, innovation and customer-value objectives.

3.    Context, time and stakeholder dependence. Performance cannot be assessed by a single universal metric because appropriate measures depend on industry conditions, strategic priorities, stakeholders and time horizons (Richard et al., 2009). A digital investment may reduce short-term accounting profit but improve long-term customer retention, decision speed or sustainability outcomes.

Harvard references

• Richard, P.J., Devinney, T.M., Yip, G.S. and Johnson, G. (2009) ‘Measuring organizational performance: Towards methodological best practice’, Journal of Management, 35(3), pp. 718–804.
• Venkatraman, N. and Ramanujam, V. (1986) ‘Measurement of business performance in strategy research: A comparison of approaches’, Academy of Management Review, 11(4), pp. 801–814.
• Yamin, S., Gunasekaran, A. and Mavondo, F.T. (1999) ‘Relationship between generic strategies, competitive advantage and organizational performance: An empirical analysis’, Technovation, 19(8), pp. 507–518.

3. Sustainable value creation

Sustainable value creation means generating economic value while also preserving or improving social and environmental value over time. It challenges the idea that business value and societal value are separate: organisations can create value by addressing social needs, reducing negative externalities and improving resource productivity (Porter and Kramer, 2011; Elkington, 1997).

Three underlying ideas

1.    Integration of economic, social and environmental value. The concept is commonly associated with the “triple bottom line”: people, planet and profit (Elkington, 1997). Sustainable value creation therefore considers financial returns alongside social wellbeing and environmental impact.

2.    Shared value and competitiveness. Porter and Kramer (2011) argue that firms can enhance competitiveness while advancing social and economic conditions through reconceiving products and markets, redefining productivity in the value chain, and building supportive local clusters. This links sustainability to strategy rather than treating it as philanthropy.

3.    Long-term, stakeholder-oriented value. Sustainable value creation emphasises benefits over a longer time horizon and for a wider set of stakeholders, including customers, employees, communities, suppliers and future generations (Freeman, 1984; Porter and Kramer, 2011). Management accounting can support this by measuring carbon costs, resource efficiency, social outcomes and long-term customer value.

Harvard references

• Elkington, J. (1997) Cannibals with forks: The triple bottom line of 21st century business. Oxford: Capstone.
• Freeman, R.E. (1984) Strategic management: A stakeholder approach. Boston, MA: Pitman.
• Porter, M.E. and Kramer, M.R. (2011) ‘Creating shared value’, Harvard Business Review, 89(1–2), pp. 62–77.

4. Three main strategic management accounting methods

Strategic management accounting (SMA) extends management accounting beyond internal cost control. It provides financial and non-financial information about customers, competitors, markets and the value chain to support strategy formulation, implementation and monitoring (Simmonds, 1981; Bromwich, 1990).

SMA method	Main purpose	Digitalisation relevance
Activity-based costing (ABC) / strategic cost management	Identifies activities that consume resources and assigns costs to products, services, customers or processes; supports cost reduction and strategic cost decisions	IoT, ERP and process-mining data can reveal cost drivers and inefficiencies more accurately
Balanced scorecard (BSC) / performance measurement	Links financial results with customer, internal-process, and learning-and-growth perspectives; supports strategy execution	Dashboards, cloud analytics and AI can provide real-time, integrated financial and non-financial performance data
Target costing / lifecycle costing	Sets a permissible cost based on target price and required profit; manages costs across a product or service lifecycle	Digital product data, customer analytics and supply-chain platforms improve market intelligence, design decisions and lifecycle cost control

Three underlying ideas across SMA

1.    External orientation. SMA focuses not only on internal costs but also on competitors, customers, market share, prices and industry conditions (Simmonds, 1981; Bromwich, 1990).

2.    Strategy support. SMA information is intended to help formulate, implement and monitor business strategy, rather than merely report past financial results (Simmonds, 1981).

3.    Long-term and non-financial orientation. SMA incorporates forward-looking and non-financial measures, including customer value, product lifecycle benefits, quality, innovation and competitive advantage (Bromwich, 1990).

Harvard references

• Bromwich, M. (1990) ‘The case for strategic management accounting: The role of accounting information for strategy in competitive markets’, Accounting, Organizations and Society, 15(1–2), pp. 27–46.
• Kaplan, R.S. and Norton, D.P. (1996) The balanced scorecard: Translating strategy into action. Boston, MA: Harvard Business School Press.
• Simmonds, K. (1981) ‘Strategic management accounting’, Management Accounting, 59(4), pp. 26–29.

Four academic claims linking the concepts

These claims can become the analytical backbone of your assignment. Each is deliberately arguable, so you can support, qualify or challenge it with evidence.

1.    Digitalisation improves the strategic relevance of management accounting by expanding the volume, speed and variety of decision-relevant information.
Claim: Digital technologies enable management accountants to move beyond retrospective financial reporting towards real-time, predictive and externally oriented analysis, thereby strengthening SMA’s role in strategy formulation and control (Moll and Yigitbasioglu, 2019; Simmonds, 1981).

2.    Digitalised SMA methods enhance organisational performance by improving resource allocation, cost visibility and strategic control.
Claim: When ABC, balanced scorecards and target costing are supported by integrated digital data, managers can identify cost drivers, monitor strategic performance more quickly and allocate resources to higher-value activities, which may improve financial, market and operational performance (Kaplan and Norton, 1996; Richard et al., 2009).

3.    Digitalisation supports sustainable value creation by making environmental and social impacts measurable and manageable.
Claim: IoT, blockchain, cloud ERP and analytics can track energy use, emissions, waste, supplier conditions and product lifecycle impacts, allowing management accounting to incorporate sustainability metrics into costing, budgeting, performance measurement and investment appraisal (Schallmo et al., 2023; Porter and Kramer, 2011).

4.    The performance and sustainability benefits of digitalisation are conditional on organisational capabilities, data quality and strategic alignment.
Claim: Digitalisation does not automatically improve performance or sustainable value creation; its benefits depend on managerial interpretation, employee competences, data governance, integration between systems, and alignment between digital initiatives and organisational strategy (Vial, 2019; Richard et al., 2009).

Suggested assignment argument

A strong critical argument would be:

Digitalisation transforms management accounting from a largely internal, historical reporting function into a strategic, real-time and sustainability-oriented decision-support function. Through digitalised SMA techniques such as ABC, balanced scorecards and target costing, organisations may improve cost visibility, strategic control and stakeholder-relevant performance. However, digitalisation enhances organisational performance and sustainable value creation only when digital investments are aligned with strategy, supported by appropriate skills and governance, and used to measure not only financial outcomes but also social and environmental value.

A critical evaluation should also acknowledge risks: data overload, algorithmic bias, cyber-security and privacy concerns, implementation costs, deskilling, managerial resistance, and the possibility that sustainability metrics become symbolic “greenwashing” rather than genuine value creation.

 

If I want to develop the line of argument provided above in the context of Hong Kong over the past 5 years, could you suggest 4 academic and 4 non-academic references so that I could study and try further to develop my own claims for my assignment work on this topic.

Yes. For a Hong Kong-focused argument over roughly 2021–2026, the most useful approach is to combine Hong Kong empirical/policy evidence with the broader management-accounting literature. The strongest local anchor is the Hong Kong Monetary Authority’s 2025 research memorandum on digitalisation and corporate performance, alongside Hong Kong’s digital-economy policy and HKEX’s climate-disclosure regime.

Suggested argument in Hong Kong context

In Hong Kong over the past five years, digitalisation has been promoted through government policy, accelerated by COVID-19 and supported by growing ESG/climate-disclosure expectations. For management accounting, this creates opportunities to use digital data for strategic costing, performance measurement and sustainability reporting. However, the Hong Kong evidence suggests that digitalisation does not automatically improve profitability: early adoption may reduce profit, while more advanced adopters may achieve stronger revenue growth and market valuation (HKMA, 2025). Therefore, digitalisation is likely to enhance organisational performance and sustainable value creation only when it is strategically aligned, supported by data and managerial capabilities, and linked to meaningful ESG metrics.

Four academic references

1.    Hong Kong Monetary Authority (2025) — The Implications of Digitalisation Adoption for Hong Kong Non-Financial Corporates.
This is highly relevant because it directly examines Hong Kong firms and finds that digitalisation adoption rose from about 49% of sampled firms in 2019 to 64%, while initial profitability effects may be negative but advanced adopters show higher revenue growth and price-to-book ratios (HKMA, 2025). Use it to support a nuanced claim: digitalisation can improve performance, but benefits are conditional on adoption maturity and implementation capability.
Harvard reference: Hong Kong Monetary Authority (2025) The implications of digitalisation adoption for Hong Kong non-financial corporates. Research Memorandum RM14/2025. Hong Kong: Hong Kong Monetary Authority.

2.    Wong, C.S., et al. (2025) — Sustainability of Small and Medium-Sized Enterprises in Hong Kong: Drivers and the Moderating Role of Social Network, Corporate Social Responsibility and Environmental Management.
This study uses a territory-wide Hong Kong SME survey conducted between November 2021 and April 2022, making it useful for discussing how local SMEs pursue sustainability under resource constraints and relationship-based networks (Wong et al., 2025). It can support the argument that sustainable value creation in Hong Kong is shaped not only by technology but also by social capital, supply-chain relationships and institutional support.
Harvard reference: Wong, C.S., Law, P., Yiu, D. and Lau, C.M. (2025) ‘Sustainability of small and medium-sized enterprises in Hong Kong: Drivers and the moderating role of social network’, Corporate Social Responsibility and Environmental Management, 32(5), pp. 1–18.

3.    Bhattacharya, M. and Chatterjee, S. (2026) — Artificial Intelligence and Environmental, Social, and Governance: A Systematic Review, Business Strategy and the Environment.
This recent review is useful for connecting AI/digital technologies to ESG performance, innovation and business performance. It identifies research themes including ESG scores, economic performance, resources and capabilities, supply-chain management and sustainability, which can help you build a conceptual bridge between digitalisation, SMA and sustainable value creation (Bhattacharya and Chatterjee, 2026).
Harvard reference: Bhattacharya, M. and Chatterjee, S. (2026) ‘Artificial intelligence and environmental, social, and governance: A systematic review’, Business Strategy and the Environment, 35(4), pp. 1–25.

4.    Moll, J. and Yigitbasioglu, O. (2019) — The Role of Internet-Related Technologies in Shaping the Work of Accountants: New Directions for Accounting Research, The British Accounting Review.
Although not Hong Kong-specific, this is a core academic source for explaining how cloud computing, big data, analytics and digital platforms change accounting work, controls and decision support. Use it as the theoretical bridge between digitalisation and changes in management-accounting roles, especially the movement from record-keeping towards analysis, forecasting and business partnering (Moll and Yigitbasioglu, 2019).
Harvard reference: Moll, J. and Yigitbasioglu, O. (2019) ‘The role of internet-related technologies in shaping the work of accountants: New directions for accounting research’, The British Accounting Review, 51(6), 100833.

Four non-academic references

1.    Hong Kong SAR Government (2022) — Hong Kong Innovation and Technology Development Blueprint.
This policy document is important because it sets out Hong Kong’s strategy to promote the digital economy and develop a smart city. It provides institutional context for why firms have faced increasing pressure and incentives to digitalise over the past five years (HKSAR Government, 2022).
Harvard reference: Hong Kong Special Administrative Region Government (2022) Hong Kong innovation and technology development blueprint. Hong Kong: Innovation, Technology and Industry Bureau.

2.    HKEX (2025) — ESG Reporting Code and New Climate Requirements.
HKEX’s climate-related disclosure requirements, effective for financial years beginning on or after 1 January 2025, closely reflect the ISSB’s IFRS S2 standard and require disclosure across governance, strategy, risk management, metrics and targets (HKEX, 2025). This is a strong source for arguing that sustainability information is becoming part of mainstream management accounting, planning, risk management and performance measurement in Hong Kong.
Harvard reference: Hong Kong Exchanges and Clearing Limited (2025) ESG reporting code: New climate requirements. Hong Kong: HKEX.

3.    HKEX (2021) — Guidance on Climate Disclosures and revised ESG reporting requirements.
This earlier HKEX guidance incorporated TCFD-aligned climate-disclosure expectations and signalled Hong Kong’s movement towards mandatory climate reporting (HKEX, 2021). It is useful for showing the five-year policy trajectory: from voluntary/“comply or explain” ESG reporting towards more formal climate-risk and sustainability disclosure.
Harvard reference: Hong Kong Exchanges and Clearing Limited (2021) Guidance on climate disclosures. Hong Kong: HKEX.

4.    Hong Kong SAR Government (2024) — Digital Transformation Support Pilot Programme.
The Government launched this programme in 2024 to subsidise SMEs in food and beverage, retail, tourism and personal services to adopt ready-to-use digital solutions, including e-payment systems; an enhanced version is expected to include AI and cybersecurity solutions (HKSAR Government, 2024). This is particularly useful for discussing SMEs, digital adoption barriers and whether policy support can translate digitalisation into productivity, customer value and sustainable business models.
Harvard reference: Hong Kong Special Administrative Region Government (2024) Digital transformation support pilot programme. Hong Kong: Innovation, Technology and Industry Bureau.

How to use these sources

Assignment section	Most useful sources	Possible claim
Digitalisation in Hong Kong	HKMA (2025); HKSAR Government (2022, 2024)	Hong Kong firms face both market and policy pressures to digitalise, but adoption maturity varies by firm size and sector
Management accounting change	Moll and Yigitbasioglu (2019); HKEX (2025)	Digital data can support SMA through real-time costing, dashboards, predictive analysis and integrated performance measurement
Organisational performance	HKMA (2025); Bhattacharya and Chatterjee (2026)	Digitalisation may initially reduce profitability but can improve revenue growth, resilience and valuation among advanced adopters
Sustainable value creation	HKEX (2021, 2025); Wong et al. (2025)	Hong Kong’s climate-disclosure regime pushes firms to integrate ESG metrics into governance, risk management and strategy
Critical evaluation	HKMA (2025); Wong et al. (2025); HKSAR Government (2024)	Digitalisation is not a universal solution: SMEs may face cost, skills, cybersecurity and data-governance constraints

Possible refined claims

1.    Hong Kong’s policy environment has accelerated digitalisation, but firm-level benefits depend on adoption maturity.
The HKMA evidence suggests that digital adoption is widespread but that profitability effects are not uniformly positive; advanced adopters are more likely to experience revenue growth and higher valuation (HKMA, 2025).

2.    Digitalisation changes management accounting from historical reporting towards real-time strategic decision support.
Cloud systems, analytics, AI and integrated platforms can support SMA by providing timely information on customers, costs, operations and sustainability risks (Moll and Yigitbasioglu, 2019).

3.    Hong Kong’s ESG disclosure regime is turning sustainability into a management-accounting issue.
HKEX climate requirements require firms to disclose governance, strategy, risk management, metrics and targets, thereby creating demand for measurable ESG data and internal control systems (HKEX, 2025).

4.    For Hong Kong SMEs, sustainable digitalisation depends on affordability, capability and networks.
Government support may reduce adoption barriers, but SME sustainability also depends on resources, managerial capabilities and social-network relationships (HKSAR Government, 2024; Wong et al., 2025).

A particularly strong critical angle would be to argue that Hong Kong’s digitalisation agenda and ESG-disclosure agenda are converging: digital systems provide the data infrastructure, while SMA provides the analytical and control mechanisms through which firms convert that data into performance improvement and sustainable value.

 

If I want to study my personalized version of the assignment task as follows: "to critically analyse how digitalisation, notably using 3 main digitalisation technologies, affects management accounting practices, notably on strategic management accounting, and evaluate its role in enhancing organisational performance and sustainable value creation with regard to the Hong Kong hotel sector", could you review my assignment task formulation quality using the Socratic method?

Your formulation is already strong: it has a clear context (Hong Kong hotel sector), a clear mechanism (three digital technologies), a clear accounting focus (SMA), and a clear evaluative outcome (performance and sustainable value creation). The main issue is that it currently contains four potentially separate “dependent variables”—SMA practices, organisational performance, sustainable value creation—and asks you to evaluate “its role” without specifying the direction, conditionality or evidence standard.

Socratic review

1. What exactly do you mean by “digitalisation”?

·        Do you mean the adoption of individual technologies, the integration of digital systems across hotel operations, or a broader digital-transformation strategy?

·        Are you studying technology adoption, technology use intensity, or digital maturity? These are different constructs and require different evidence.

·        If you choose three technologies, why these three rather than others?

Suggested refinement: Name the three technologies explicitly. For the Hong Kong hotel sector, a defensible set would be:

1.    AI and big-data analytics — demand forecasting, dynamic pricing, customer segmentation, chatbots, sentiment analysis and revenue management.

2.    IoT and smart-building systems — occupancy sensors, smart HVAC, lighting, energy monitoring, predictive maintenance and resource-use control.

3.    Cloud-based property management systems (PMS), ERP and integrated booking/payment platforms — centralised reservations, guest data, procurement, cost control, financial reporting and performance dashboards.

These are especially appropriate because Hong Kong tourism policy explicitly promotes smart tourism through electronic platforms, big data and AI, while hotel-oriented sources highlight AI, IoT and smart-room technologies for personalisation, operational efficiency and sustainability (Tourism Commission, 2024; Education Bureau, n.d.).

2. What do you mean by “affects management accounting practices”?

·        Does digitalisation replace, augment, reshape or merely speed up SMA practices?

·        Which SMA practices will you examine: strategic costing, customer profitability analysis, competitor analysis, balanced scorecards, budgeting, target costing, lifecycle costing, or investment appraisal?

·        Are you examining how accountants’ roles change, or only how accounting outputs change?

Suggested refinement: Avoid the broad phrase “management accounting practices” unless you can cover it. A tighter version would be:

“affects strategic management accounting practices, with particular reference to strategic cost management, customer and channel profitability analysis, and performance measurement.”

For hotels, this is workable because AI-driven revenue management affects pricing and customer profitability; IoT affects energy and maintenance costs; and cloud PMS/ERP data supports dashboards, budgeting and non-financial performance measurement.

3. What exactly is being “enhanced”?

·        When you say digitalisation enhances organisational performance, which performance dimension do you mean: profitability, RevPAR, occupancy, guest satisfaction, cost efficiency, employee productivity, market share or resilience?

·        Are you claiming a direct effect, or an indirect effect through better SMA information and decision-making?

·        Can digitalisation worsen performance in some cases—for example, through implementation costs, data errors, privacy risks, staff resistance or over-reliance on algorithms?

Suggested refinement: State the performance dimensions explicitly, for example:

“enhancing financial performance, operational efficiency, guest experience and adaptive capacity.”

This is more precise than simply saying “organisational performance,” and it fits the hotel sector where operational metrics such as RevPAR, occupancy, labour productivity and guest satisfaction are commonly used.

4. What does “sustainable value creation” mean in a hotel?

·        Are you focusing on environmental sustainability, social sustainability, economic sustainability, or all three?

·        Which stakeholders matter most: guests, employees, owners, local communities, suppliers, regulators or future visitors?

·        Is sustainable value creation measured through carbon reduction, energy and water efficiency, waste reduction, local employment, guest wellbeing, or long-term destination competitiveness?

Suggested refinement: Define the scope. A hotel-specific version could be:

“sustainable value creation, understood as the simultaneous creation of economic value for hotel owners, enhanced guest and employee value, and reduced environmental impact through resource efficiency and responsible operations.”

Hong Kong hotel and tourism sources specifically identify AI, IoT and smart-building systems as tools for monitoring energy and water use, reducing waste, supporting automated environmental reporting and lowering operating costs (Wang, 2023; Education Bureau, n.d.).

5. What is the causal logic of your argument?

·        Is your proposed chain: digital technologies → better SMA information → better strategic decisions → improved performance and sustainable value creation?

·        If so, what are the enabling conditions: data quality, managerial capability, staff training, system integration, organisational culture, cybersecurity and governance?

·        What are the boundary conditions: luxury hotels versus budget hotels, chains versus independents, large hotels versus SMEs?

Suggested refinement: Make the mechanism explicit:

Digital technologies improve the volume, timeliness and granularity of operational and customer data; SMA translates these data into strategic costing, pricing, performance-measurement and sustainability-control decisions; these decisions may enhance performance and sustainable value creation, subject to implementation capability and data governance.

6. What is the Hong Kong specificity of your study?

·        Why is the Hong Kong hotel sector a meaningful unit of analysis rather than hotels generally?

·        Are you considering post-pandemic recovery, labour shortages, high operating costs, tourism-policy support, ESG disclosure expectations, or smart-tourism initiatives?

·        Will you compare hotel segments, such as luxury, mid-scale, budget and serviced apartments?

Suggested refinement: Add a time-and-context boundary:

“with regard to Hong Kong’s hotel sector during the post-pandemic recovery and smart-tourism development period, approximately 2021–2026.”

Hong Kong’s Tourism Blueprint 2.0, published in December 2024, promotes smart tourism through electronic platforms, big data and AI, while also supporting SME digital transformation in tourism-related sectors (Tourism Commission, 2024; Legislative Council Panel on Economic Development, 2025). This gives your study a clear institutional context.

Revised task formulations

Option A: More precise and manageable

To critically analyse how three main digitalisation technologies—AI and big-data analytics, IoT-enabled smart-building systems, and cloud-based PMS/ERP platforms—affect strategic management accounting practices in Hong Kong hotels, and to evaluate their role in enhancing financial performance, operational efficiency, guest experience and sustainable value creation during the post-pandemic recovery period.

Option B: Stronger causal focus

To critically analyse how AI and big-data analytics, IoT-enabled smart-building systems, and cloud-based PMS/ERP platforms influence strategic management accounting practices in Hong Kong hotels, and to evaluate whether and under what conditions these digitalisation practices enhance organisational performance and sustainable value creation.

Option C: Most focused for an assignment

To critically analyse how AI and big-data analytics, IoT-enabled smart-building systems, and cloud-based PMS/ERP platforms affect strategic cost management, customer profitability analysis and performance measurement in Hong Kong hotels, and to evaluate their contribution to organisational performance and sustainable value creation.

Recommended final version

I would recommend Option B, with a small addition to identify the three SMA practices:

To critically analyse how three main digitalisation technologies—AI and big-data analytics, IoT-enabled smart-building systems, and cloud-based PMS/ERP platforms—affect strategic management accounting practices, notably strategic cost management, customer and channel profitability analysis, and performance measurement, in Hong Kong hotels; and to evaluate whether and under what conditions digitalisation enhances organisational performance and sustainable value creation.

This version is stronger because it specifies:

·        the technologies: AI/big data, IoT, cloud PMS/ERP;

·        the accounting practices: strategic cost management, customer/channel profitability analysis, performance measurement;

·        the sector and context: Hong Kong hotels;

·        the outcomes: organisational performance and sustainable value creation;

·        the critical conditionality: “whether and under what conditions.”

Possible central claim

In Hong Kong hotels, digitalisation is most likely to enhance organisational performance and sustainable value creation when AI, IoT and cloud-based systems are integrated with strategic management accounting practices. AI and analytics can improve demand forecasting, pricing and customer profitability analysis; IoT can make energy, maintenance and resource costs visible and controllable; and cloud PMS/ERP systems can integrate financial, operational and sustainability data for decision-making. However, these benefits are conditional on data quality, system integration, staff capability, cybersecurity, managerial interpretation and alignment between digital investment and hotel strategy.

Sources to support the refined task

·        Tourism Commission (2024), Development Blueprint for Hong Kong’s Tourism Industry 2.0 — supports the Hong Kong smart-tourism context and the policy emphasis on electronic platforms, big data and AI.tourism.gov

·        Education Bureau (n.d.), Smart Hotel Development Trends and Digital Applications — supports the relevance of AI, IoT, smart rooms, contactless services and sustainability-oriented hotel technologies.edb.gov

·        Wang (2023), Public Policy Research Funding Scheme final report — supports the use of AI, IoT, building-management systems, resource monitoring and automated environmental reporting in hotels.cepu.gov

·        CBRE Hong Kong (2025) — supports the argument that smart hotel technology can improve guest experience, operational efficiency and operating-cost reduction.cbre.com

·        Hong Kong Tourism Board (2025), Work Plan for 2025–26 — supports the connection between digital platforms, data infrastructure, tourism competitiveness and sustainable development.legco.gov

Harvard references

·        CBRE Hong Kong (2025) Hospitality sector has the potential to lead the recovery of Hong Kong real estate market. Hong Kong: CBRE.

·        Education Bureau (n.d.) Smart hotel development trends and digital applications. Hong Kong: Education Bureau.

·        Hong Kong Tourism Board (2025) Work plan for 2025–26. Hong Kong: Hong Kong Tourism Board.

·        Legislative Council Panel on Economic Development (2025) Progress of initiatives under the Development Blueprint for Hong Kong’s Tourism Industry 2.0. Hong Kong: Legislative Council.

·        Tourism Commission (2024) Development blueprint for Hong Kong’s tourism industry 2.0. Hong Kong: Culture, Sports and Tourism Bureau.

·        Wang, D. (2023) Public policy research funding scheme: Final report. Hong Kong: Central Policy Unit.