Open Innovation – Learning “Openly” Begins with Learning to Look Inward

Nguyen Dang Tuan Minh
From the “reverse pitching” experience between Hồ Gươm Group and the LIF Global 2025 expert team, the hardest part wasn’t about technology—or even pilot processes. The real challenge was the courage to name one’s own pain points in measurable terms, and to let others see them clearly.
For many corporations starting their open innovation journey, the main hesitation lies in revealing internal “pain points”—fearing exposure of weaknesses, judgment from peers, or skepticism from their teams. Beneath that hesitation often hides a deeper issue: the lack of clarity about what they are actually seeking from open innovation—a new idea, a piece of technology, or a concrete business result in the next quarter.
Hồ Gươm chose to “open” in the right place: narrowing their challenge down to WIP congestion on the garment production line, identifying bottlenecks, available data, and safe testing boundaries. Once the “pain point” was properly framed, discussions quickly shifted from “what’s the hottest technology” to “which process fluctuation is stretching lead time.” This revealed cross-disciplinary solutions—weight sensors at bottlenecks, barcode tracking for semi-finished goods, and production rhythm adjustments based on real-time data. The key lesson: learning to describe the problem better often unlocks more solutions than learning yet another technology.
“Learning Models” or “Learning Capabilities”?
In many conversations with Vietnamese corporations, a common expectation emerges: that simply copying others’ methods—launching challenges, building sandboxes, inviting startups—will bring success. That expectation often leads to disappointment.
Singapore provides a powerful counterexample: a mature open innovation ecosystem where the true lesson lies not in the checklist of activities, but in the capability to reframe problems—between corporations and intermediary platforms—and in the disciplined operation around data, IP, and budgeting.
What Did Singapore Learn to Scale “Open” Nationally?
The IMDA Open Innovation Platform (OIP) acts as a switchboard for countless public–private collaborations. Managed by Singapore’s Infocomm Media Development Authority, it operates on three key layers of capability:
- Friction reduction: IMDA offers free consulting to help companies define their problems precisely—a small-sounding service, yet one where most other countries stumble. Firms only need to post a “bounty” for the right solution instead of struggling to craft a problem statement themselves.
- Market filtering: The platform maintains a network of around 12,000 registered solution providers globally and hosts quarterly innovation calls that receive hundreds of proposals—allowing rapid solution–demand matching by sector, technology, and geography.
- Discovery engine: A curated matchmaking system that lets businesses see who has solved similar challenges, where pilots were conducted, and how a PoC could run in Singapore.
The Open Innovation Network (OIN) by Enterprise Singapore goes a step further by funding pilots. It connects entrepreneurs, researchers, and corporations around funded challenges, offering Proof-of-Concept Development Grants to selected Singaporean startups and organizing National Innovation Challenges around key themes—mitigating the “funding gap” that often kills PoCs elsewhere.
The process runs as follows: define a shared problem → create a funded pilot → establish a reintegration pathway if successful.
These layers are “powered” by frequent, well-scoped challenges with measurable outcomes. The Sustainability Open Innovation Challenge (SOIC)—now in its 6th edition—has committed over SGD 2 million in pilot and support funding, with focus areas in climate, green buildings, sustainable agriculture, sustainable materials, and an open category. Linear timelines, early-announced criteria, and on-schedule results build trust with startups while enforcing discipline on challenge owners.
Similarly, the Nordic Open Innovation Challenge, run in partnership with Enterprise Singapore, attracts Nordic solutions while requiring winning startups to establish a local entity within six months—a subtle yet powerful way to anchor innovation capabilities in Singapore. The AI Open Innovation Challenge does the same for AI applications—moving beyond demos toward deployable use cases.
When ministries from MSE to EDB align on these initiatives, Singapore’s “open” ecosystem reveals not just density, but strategic coherence.
Why Does “Learning How Others Do It” Often Fail in Vietnam?
Three recurring reasons stand out:
- “We’re too big for this.” Many corporations view admitting problems as losing face. But open innovation isn’t confession—it’s disciplined knowledge acquisition. If you don’t articulate your needs, the market will sell you everything except what you need.
- Vague objectives. Domestic challenges often adopt trendy themes like AI or ESG without integration pathways or post-PoC criteria. When no one owns the follow-through, everything ends at the award ceremony.
- Missing intermediaries. Vietnam lacks strong “problem brokers” like IMDA or OIN—entities capable of helping firms craft problem statements, filter solutions, and link PoCs with funding and procurement mechanisms.
These intermediaries—knowledge brokers who understand both corporates and startups—are the missing capability. They can “translate” business pains into challenge briefs tied to sandbox policies, IP rules, and venture-client purchasing lanes.
What Should Vietnam Learn First from Singapore?
Don’t start with event quantity or number of challenges. Start with problem definition capability.
At the corporate level, the first task is drafting a problem brief for each key operation line: where the bottleneck is, what data exists, what unit of value is measurable, what system will the PoC integrate into, and who owns it. This isn’t a technical report—just a one-pager that IMDA or OIN could easily turn into a precise challenge.
Since Vietnam doesn’t yet have an IMDA, corporations must train this skill internally or delegate it to a trusted domestic innovation broker.
Next comes discipline in finance and IP. Many programs fail due to IP fear or lock-in anxiety. Singapore solves this via short-term PoC contracts, clear data/ anonymity clauses, and conditional commercialization paths (“if A, then B”).
For larger challenges like SOIC, budgets, ownership, and timelines are transparent—turning “open” from an event into an organizational commitment.
Finally, the pioneers matter. In every country, early movers—those willing to try, fail, and try again—prove that exposing pain points doesn’t weaken a brand; it attracts talent and partners. Once a few successful PoC-to-scale pathways exist, the rest of the system learns exponentially faster.
What Should Corporations and Startups Each Learn?
Corporations must learn the language of problems: describe pain points with data, constraints, and business goals rather than tech slogans. They must also practice disciplined humility—open enough for solutions to fit into operations, yet closed enough to protect the core.
Startups, on the other hand, must learn the language of integration: every proposal should show entry points into existing systems, transition costs, maintenance responsibility, and time-to-value.
In Singapore, requiring foreign startups to establish a local entity within six months of selection isn’t to make things harder—but to ensure local grounding. This is a useful lesson for designing challenges in Vietnam.
“Open” Isn’t About Copying Activities—It’s About Changing Perspectives
Learning from Singapore doesn’t mean chasing the number of challenges or the size of prizes. It means learning how to turn problems into learning contracts.
To do that, corporations must shift roles—from “technology judges” to “buyers of business outcomes,” from “hiding weaknesses” to “using the market to fix them.”
When pioneers set the example, others will gain the courage to follow. And once a few successful “return paths” from PoC to full integration appear, the entire ecosystem will accelerate on its own.
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References
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(Additional references to GreyB, Innosabi, 2080 Ventures, etc., cited in previous KisStartup articles.)



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