Chung Hei Sing

Chung Hei Sing

I work at the intersection of strategy, investing, governance, and technological change, with a focus on durable competitive advantage and strategic capital allocation.

Research in Progress

Research

My research examines where durable economic advantage comes from, how it is sustained or destroyed, and how organizations and investors allocate capital to create or capture it.

The overarching theme of my work is:

Durable Competitive Advantage and Strategic Capital Allocation under Technological and Institutional Change

I’m interested in why some organizations create, sustain, and compound superior economic performance over long periods of time while others cannot — and how management, governance, organizational capabilities, innovation, capital allocation, and technological change help explain these differences.

I approach these questions from the perspective of both the organization and the investor. The practical objective is to better understand what makes exceptional organizations exceptional, how those characteristics can be identified, and where capital should be deployed and ownership sustained over long periods of time.

Research areas

1. Durable competitive advantage under technological and institutional change

Why are some organizations better able to create, sustain, and compound economic advantage as technologies, industries, and institutions change?

Competitive advantage is not static. New technologies alter cost structures, information advantages, organizational capabilities, barriers to entry, and the economics of entire industries. Institutional and policy changes can similarly create, reinforce, or destroy existing sources of advantage.

I study the mechanisms through which organizations develop and sustain superior performance, including organizational capabilities, management quality, governance, innovation, strategic adaptation, information processing, and resource deployment. The underlying question is intentionally technology-independent — artificial intelligence is an important current setting, but the broader research program is designed to examine successive periods of technological and institutional change.

2. Strategic capital allocation and investment decision-making

Why are some organizations systematically better at allocating capital than others, and how does that capability get built, exercised, and lost?

I treat capital allocation not simply as a series of discrete investment decisions, but as a learned, path-dependent organizational capability. Within companies, this includes organic reinvestment, R&D, technology, human capital, capex, M&A, divestitures, geographic expansion, new products, strategic partnerships, and distributions to capital providers. Within investment organizations, it includes company and manager selection, asset allocation, position sizing, portfolio construction, liquidity management, direct and co-investment decisions, and the allocation of investment-team resources.

This research connects strategy with investing: organizations allocate resources to create and reinforce competitive advantage, while investors allocate capital to identify and capture it.

3. AI-augmented organizations and decision systems

How does artificial intelligence change organizational capabilities, strategic decision-making, capital allocation, and the sources of competitive advantage?

Rather than treating AI as an isolated technological field, I study it as a potentially important change in how organizations acquire information, evaluate alternatives, make decisions, allocate resources, and develop capabilities. Current questions include whether AI produces durable competitive advantages or primarily temporary productivity gains; which managerial and organizational capabilities become more or less valuable as AI diffuses; whether AI can improve capital-allocation decisions; and under what conditions human–AI decision systems outperform either humans or automated systems alone.

AI is a flagship technological setting for this research program — not its permanent intellectual boundary.

A multi-level investment perspective

My current research examines capital-allocation capability across three levels of the investment ecosystem: sovereign, corporate, and venture.

The common question across these levels is: how is capital-allocation capability built, exercised, adapted, and lost — and how does technological or institutional change alter its relationship with durable competitive advantage?

Sovereign / macro

At the sovereign level, I’m interested in how sovereign wealth funds, state investment vehicles, and related institutions develop and adapt capital-allocation capabilities in response to major structural changes. A current empirical setting is the energy transition and climate policy, including how state-level investment decisions influence the ability of economies and industries to develop durable economic advantage.

Corporate / mature companies

At the corporate level, I study how governance structures, strategic decision processes, and ownership interact with capital allocation and organizational capabilities. An important current setting is the adoption of AI and blockchain-based tools, and how these technologies change the collection of information, evaluation of strategic alternatives, deployment of capital, and monitoring of decisions. Private equity provides a particularly useful setting because it connects investment organizations with the governance, strategy, and capital-allocation decisions of their portfolio companies.

Startup / venture

At the venture level, I’m interested in how young companies allocate scarce financial, human, and technological resources under extreme uncertainty. AI-native startups provide a current setting for examining how early-stage capital-allocation and resource-deployment capabilities emerge, how investors influence those decisions, and whether these capabilities contribute to durable product- or firm-level advantage.

Together, these three levels allow the same underlying phenomenon to be examined across very different organizational and investment environments.

Research approach

My research approach reflects both the questions I study and my practitioner background. I’m particularly interested in combining:

Rather than applying the same methodology to every question, I use methods appropriate to the empirical setting and available evidence. Qualitative fieldwork and interviews can uncover mechanisms, organizational processes, and decision structures that are difficult to observe in public datasets. Archival, quantitative, and computational methods can then test whether these patterns generalize more broadly, while field and natural experiments can help establish causal relationships where feasible.

My objective is to combine practitioner access and institutional knowledge with systematic empirical research.

From research to practice

I approach research as a scholar-practitioner. My professional experience across institutional investing, PE/VC, boards and investment committees, corporate strategy and operations, and infrastructure shapes both the questions I ask and the settings in which I study them.

I therefore prioritize research capable of producing both academic knowledge and practical tools. A research project may ultimately contribute not only an academic paper, but also an investment framework, proprietary dataset, teaching case, board or investment-committee framework, practitioner article, or other decision tool.

The longer-term objective is a reinforcing cycle:

study exceptional organizations → understand the sources of durable advantage → improve investment and capital-allocation decisions → gain deeper access to organizations and decision-makers → generate better evidence and insights → produce better research

The technologies, industries, and empirical settings may change over time. The enduring questions remain: where does durable economic advantage come from? How is it sustained or destroyed? And how should capital be allocated to create or capture it?