Research
Explore our completed research to see how we analyse questions, use sources and reach our assessments. Browse the topics below, read publicly available work or view details of a report available for purchase.
Research topics
Research on market demand, trade, business conditions, technology and organizational change.
21 reports
A mainland China research report on demand heterogeneity, contribution profit and working capital, with three business profiles, industry responses and adjustment priorities.
Across 21 household types, from negative to ultra-high net worth, this report examines how income, housing, business payments and public support shape consumption, with baseline and downside paths for 2027–2031.
The company should validate customer problems in Bac Ninh, replicate proven solutions in Hai Phong, and use Hanoi for recruitment and service support. Increase the budget only after paid demand, delivery capability, and project profitability are proven.
Faster individual tasks can already be measured, but payroll, software, outsourcing, approvals, and demand do not change automatically. Profit appears only when the added capacity changes revenue, cost, or losses across the full workflow.
Starting from the anomalous surge in Hong Kong external trade in July 2026, this report forecasts the joint state of actual-trade persistence and downstream customer-value conversion through 29 August 2027.
Public evidence shows that RFQ activity can diverge from order timing or supplier allocation, but does not establish a broad structural decline in manufacturing purchase intent.
Using public project records and Taiwha internal satellite data, this report tracks how selected advanced-manufacturing projects in the Shenzhen–Dongguan section are moving from planning, groundbreaking and structural work towards handover and operating readiness.
When pilots grow faster than comparable evidence and shared delivery capacity, management needs a portfolio decision: Kill, time-boxed Repair, or bounded Scale.
When AI begins to influence customer communication, operating forecasts and system records, the enterprise needs a traceable and stoppable chain of responsibility, data and decision rights.
When demo speed cannot establish business value, enterprises need to compare accepted outcomes, the counterfactual, and the real burden of the workflow before choosing the first AI pilot.
A high-revenue client can also create rework, escalations, senior-capacity drain, and cash pressure. This public preview explains why contribution, cash, and capacity must be reconciled before a company decides to continue, change, or exit.
A Chinese-first owner-review observation report on One Person Company-style entrepreneurship, AI leverage, and the parts of the business loop that remain hard to compress.
When AI agents observe tasks, choose steps, call tools, and escalate exceptions, enterprises are no longer managing only a tool. They are managing a business process that can create consequences.
Customer operations are a practical front line for testing AI productivity. This report explains why handling speed must be adjusted by resolution quality, rework, escalation, and customer outcomes.
AI adoption does not automatically become enterprise value. This report offers a practical review chain from adoption signals to workflow entry, validation, attribution, durability, and total-cost discipline.
Enterprise software budgets are moving toward a hybrid structure of seats, usage, work units, and verification cost. This report explains how that shift changes procurement, budgeting, and value proof.
As AI makes output cheaper, scarce enterprise capability shifts toward source records, process records, quality validation, permission responsibility, and evidence boundaries.
A decision framework for determining whether an AI Agent scenario can affect real business state, and when to authorize, downgrade, remediate, or pause it.
A public observation report on why China-linked cross-border ecommerce competition is shifting from supply-side export advantage toward operating constraints: platform rules, compliance, consumer trust, local service, and cash-flow resilience.
A public observation report on the AI productivity paradox: why faster generation does not automatically become real output, and how verification cost, workflow complexity, and reusable learning shape the result.
Digital Trust Infrastructure After the Proliferation of AI-Generated Content.
Research topics
Research on education, careers, family and skills, comparing possible paths and the conditions behind them.
3 reports
This report does not tell the reader whether to enroll. It helps the reader clarify what the degree is meant to change, whether the evidence is strong enough, and whether lower-cost, more testable alternatives exist.
A decision intelligence report on how personal value is repriced as AI becomes a normal production tool. Instead of abstract replacement anxiety, it examines how problem definition, verification, workflow quality, responsibility records, and trust assets become scarcer forms of capability evidence.
A public flagship research report explaining how assets, cash flow, education, careers, and family responsibilities are reshaping generational transition among asset-holding urban households in the Greater Bay Area.
Reading the research
Read each report alongside its research question, sources, assumptions and publication date. Consider how its findings relate to your situation and which points need updated information.
Research for your business
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