Resilient Supply Chain Podcast: Visibility Without Governance Does Not CreateResilience

The latest episode of the Resilient Supply Chain Podcast examines a growing problem in digital supply chain investment: organisations can see more of their networks without necessarily making better decisions. Host Tom Raftery is joined by Lara Schilling, Assistant Professor of Supply Chain Management at the Technical University of Denmark, and Professor Stefan Seuring of the University of Kassel, whose research analysed 52 podcast conversations on digital technology and sustainability.

Their findings raise questions about whether AI, IoT and other digital tools are improving resilience, or simply making existing governance structures more visible. The full episode is available at www.resilientsupplychainpodcast.com

Visibility Is Only the First Step

A central finding is that digital technology can improve access to information without resolving the management problem that follows. Schilling argues that organisations may gain deeper visibility into supply chains, but the critical issue remains what happens once that knowledge exists.

As she puts it, “what do we do with this knowledge gain?” The answer depends on decision rights, organisational structure and the ability to act on risk signals. That distinction matters as companies invest heavily in AI, IoT and digital monitoring under growing regulatory pressure. Better data can support environmental, social and economic outcomes, but it does not deliver them automatically.

Risk Extends Far Beyond Tier One

Seuring highlights the persistent weakness of multi-tier visibility. Companies generally understand their immediate suppliers, but risk can emerge several layers further upstream.

Electronics illustrate the problem. A smartphone supply chain can extend eight to ten tiers before reaching cobalt extraction in the Democratic Republic of Congo. Similar blind spots appear in geopolitical disruption, where businesses may understand headline exposure to oil or gas but overlook less obvious dependencies such as fertiliser or basic chemicals moving through strategic chokepoints.

The operational consequence is straightforward: incomplete dependency mapping can become direct economic risk, particularly when disruption reaches inputs that are difficult to replace quickly.

Success Bias Distorts Digital Investment

The conversation also exposes a less obvious governance problem: organisations have much better access to success stories than failure stories. In the researchers’ analysis of 52 Resilient Supply Chain podcast episodes, technology providers accounted for 64% of the organisations represented, while failed implementations appeared rarely. Seuring reports a similar pattern in academic research, noting that among roughly 50 papers submitted to a journal project on digital technology and sustainable supply chains, “there was not one single critical one.”

That creates a survivorship problem. If decision-makers repeatedly study successful implementations while failed projects remain undocumented, they risk treating selective evidence as a repeatable operating model.

Indicators Can Miss What Matters

Schilling’s fieldwork in Ghana highlights another limitation. Indicators can suggest acceptable social conditions without capturing what is actually happening on the ground.

School availability, for example, may be used as an indicator of child-labour risk. But where child trafficking is involved, the presence of schools does not establish that children are absent from farm labour.

The lesson extends beyond social sustainability. Metrics require context, and dashboards can create false confidence if leaders mistake proxies for reality.

Turning Visibility Into Resilience

The strategic issue is therefore not whether companies should invest in digital supply chain capability, but whether those investments improve real decisions over time.

Resilience depends on governance, accountability, contextual judgement and a clear view of who can act on the information being generated.

As supply chains become more digitised and regulatory demands increase, leaders will need to scrutinise not just what their systems can see, but whose risks remain invisible, which assumptions are built into the data, and whether digital capability is producing durable operational value rather than another layer of reporting.