Here comes the new supply chain: Is your organization ready?

A new model of supply chain management is emerging—one that positions the supply chain not as a reactive support function but as a strategic capability that shapes organizational performance. In this model, disruptions are anticipated and avoided rather than corrected after the fact, and the supply chain becomes a proactive driver of resilience, innovation, and customer value.

Yet history shows that the availability of better ideas does not guarantee their adoption. Organizations have repeatedly rejected transformative innovations: Kodak dismissed digital photography; Xerox failed to capitalize on the personal computer; and the U.S. Army initially resisted the repeating rifle during the Civil War. In each case, the failure was not technological or analytical. It was organizational. The determining factor was readiness—whether the organization’s culture, leadership commitment, incentives, and structures were aligned to support change.

The same challenge confronts firms seeking to adopt the emerging model of supply chain management. Transforming the supply chain requires more than new technologies, analytical tools, or strategic intent. It requires an organization prepared to rethink decision authority, cross-functional relationships, and performance priorities.

This article examines the conditions that determine whether organizations can successfully adopt the new supply chain model. It concludes with a diagnostic framework designed to help leaders assess whether their organizations are prepared to embrace this transformation—or whether existing structures and assumptions will quietly undermine it.

The paradox of proven success: The 633% ROI program that was killed

One of the authors experienced this resistance firsthand. Between 1998 and 2012, a company deployed a supply chain development program aimed at upgrading middle-tier managers from primarily tactical operators to leaders with balanced strategic and tactical capabilities.

Participants were required to develop and execute an 18-month project delivering a minimum of $50,000 in verified value (cost savings, cost avoidance, or revenue growth) and
at least a 50% ROI. After approximately 250 projects were completed, the accounting department audited the results—both immediately upon completion and again six months later to assess sustainability.

 The findings were unequivocal:

• Average ROI: 633%.
• Benefits sustained after six months.
• The program successfully developed the next generation of supply chain leaders.

Despite this performance, the program was terminated in 2012. Why?

First, leadership changed. The CEO who championed the initiative died unexpectedly, and his successor—drawn from finance—viewed the program as a cost rather than an investment. Second, the new leadership team made decisions that program graduates strongly opposed because these decisions were seen as effectively destroying the “new” supply chain that was being built. As an example, the new VP of supply chain management (brought on board to improve supply chain efficiency) introduced a new program that extended supplier payment terms from net 30 to net 160 days to improve cash-to-cash metrics. This initiative was opposed by most of the graduates, who argued that it would ultimately drive away the firm’s best suppliers.

In the short term, this initiative did improve the cash-to-cash cycle. It also garnered numerous complaints from the firm’s suppliers. In response to these complaints, the firm introduced an accounts payable factoring program that allowed the suppliers to recover some of their funds immediately. Suppliers who were not happy were informed that they were free to sell their products elsewhere. The problem was that from 2008 to 2011, the economy was in a recession.

Ultimately, the predictions of the graduates were borne out. When the economy returned to normal in 2012, the firm had lost many of its critical suppliers. Amongst the suppliers who remained, the firm had lost its status as a “preferred” customer.

Since the program’s termination, many graduates have left the firm and found success elsewhere.  More importantly, the supply chain, which in the early 2000s had been recognized as an emerging strategic weapon, now reverted to a cost silo.

The question: Why would an organization kill a demonstrably successful program?

This is not an isolated case. We have repeatedly seen organizations build effective supply chain capabilities only to later dismantle them. The failure is rarely technical or financial. It is organizational. As the Chinese proverb says, “When the student is ready, the teacher appears.” The organizational corollary is equally clear: when the organization is not ready, even proven solutions are rejected.

The hidden forces that kill transformation

Organizations seldom reject successful initiatives consciously. More often, structural  and cultural forces—often hidden in plain sight—undermine them.

The quarterly earnings trap. Most public companies operate on 90-day cycles. Supply chain transformation often requires short-term costs in exchange for uncertain long-term gains. In one case, a manager proposed increasing inventory by 15% to relieve shortages and boost sales by 20% to 30%, based on the DuPont Strategic Profit Model (See footnote). The proposal was rejected because building that inventory would take two to three quarters, temporarily raise costs and hurt short-term reported financial results. The result: the company never captured the projected sales gains.

Short-term financial metrics and long-term supply chain value creation are often in direct conflict. Executives are frequently evaluated by measures that do not capture the benefits of transformation.

Misaligned incentives. Measures and incentives translate strategy into behavior. They reveal what the organization truly values. As the role of supply chain expands, however, incentives often remain tied to yesterday’s priorities. A strategic supply chain can create value in at least the following four ways.

1. Enabling superior customer service. Amazon is the clearest example. Its advantage is not always the lowest price, but ease of use, transparency, speed, and reliability.
2. Preempting scarce upstream capacity. Bell et al. (Bell, John E. Autry, Chad W., Griffis, Stanley E., (2015) “Supply Chain Interdiction as a Competitive Weapon” Transportation Journal. 54(1), 89-103) describe this as supply chain interdiction. Examples include Apple securing advanced TSMC capacity, Tesla locking up battery inputs, and NVIDIA reserving scarce advanced packaging and GPU supply.
3. Becoming a preferred customer. Firms that invest in communication, commitment, coordination, and transaction excellence often receive early access to innovation and priority fulfillment.
4. Attracting new customers through new capabilities. Amazon’s one-day delivery, Zara’s fast-fashion cycle, and similar moves by Dell, Walmart, Apple, and Nike show how supply chain investment can expand markets.

Each of these strategies requires investment and typically deemphasizes short-term cost. Yet many organizations continue to punish the very behaviors they claim to value: innovation, risk-taking, and long-term thinking.

Expanding outcomes, shrinking recognition. The supply chain is no longer responsible only for cost efficiency. It now contributes responsiveness, resilience, security, sustainability, innovation, and revenue risk management. Yet many performance systems still reward cost control alone.

This challenge is especially evident in the growing importance of customer experience (CX). CX is traditionally owned by marketing. For supply chain to shape CX, marketing must share ownership. That transfer of influence is often resisted, reinforcing silo “moats” that block collaboration.

The friction accumulation problem. As organizations grow, friction accumulates: limited spending authority, siloed information, consensus-driven decision making, and multiple approval layers. One author recalls needing approval from department leadership, then a cross-functional pre-committee, and finally budget owners. Each layer diluted the proposal. If questions sent the idea back for revision, momentum slowed further—sometimes until the opportunity disappeared.

A useful rule of thumb: if an innovative idea survives a large committee unchanged, it is no longer innovative.

The new leader syndrome. New executives often dismantle their predecessors’ initiatives—successful or not—to establish legitimacy. The 633% ROI program may simply have been a casualty of this dynamic.

Punishing failure indiscriminately. Transformation requires experimentation, and experimentation inevitably produces failure. The critical distinction is between smart and dumb failures.

• Smart failures are well-designed experiments that do not deliver the desired result but generate valuable learning. They are not setbacks so much as tuition paid for progress.
• Dumb failures are repeated mistakes that ignore lessons already learned, whether from prior internal experience or readily available external knowledge.

The difference lies not in the outcome but in the learning. A failed pilot that reveals why customers will not adopt a solution is tuition paid. A failed pilot that repeats the mistakes of the previous three is tuition wasted.

When organizations fail to distinguish between the two, employees become risk-averse. Only safe, low-reward decisions remain. As the saying goes, a turtle only makes progress when it sticks out its neck.

The hidden cost of cultural alignment

Many organizations have a strong tendency to hire people who look, think, and act like those already in power. Over time, this produces a culture of homogeneity. Such cultures have real advantages:

• communication is easier,
• problem solving is faster,
• tension is reduced,
• consensus is reached quickly.

For decades, these traits served supply chains well because most supply chain innovation was incremental: process optimization, automation upgrades, supplier negotiations, routing improvements, and workflow enhancements. When the task is to perform 5% better than last quarter, homogeneous cultures are an asset.

The shifting balance. But the environment has changed. Disruptions lasting one month or more now occur regularly. Geopolitical, regulatory, climate-related, and technological shocks have become structural rather than episodic. Organizations still need incremental improvement. But they increasingly also need disruptive change:

• redesigning supply networks for resilience,
• implementing AI-based decision systems,
• restructuring supplier relationships for carbon compliance, and
• building capabilities that do not yet exist.

Cultures optimized for “sharpening the knife” struggle when the environment demands “creating new knives.”

Past success creates mental models that filter out disconfirming signals. The same efficiency that makes homogeneous cultures strong at optimization makes them weak at transformation.

Recent examples. This pattern continues today.

• Intel and AI chips: A CPU-centric culture underestimated GPUs until NVIDIA became dominant.
• Boeing and the 737 MAX: A shift from engineering excellence to financial discipline silenced safety concerns, with catastrophic consequences.
• GE Digital and Predix: A manufacturing company struggled to become a software company.
• Volkswagen’s Cariad: Cultural tension between mechanical and software mindsets produced delays and high turnover.

These are not stories of incompetent leaders. They are stories of competent leaders trapped in cultures optimized for a world that no longer exists.

The strategic question

The real question is not “homogeneous versus diverse culture?” That is too simplistic. The real question is: What percentage of your innovation portfolio must be disruptive for your organization to survive the next decade, and does your culture have the capacity to deliver it?

If 90% of your innovation can remain incremental, a homogeneous culture may still serve you well. But if 30% to 40% must now be disruptive—because AI, geopolitics, sustainability, and customer expectations are reshaping your industry—then homogeneity becomes a strategic liability. Most supply chain organizations now need both:

• the efficiency of homogeneity for the 70% of work that remains incremental, and
• the adaptive capacity to deliver the 30% that increasingly determines survival.

Few are structured to do both.

A framework for assessing organizational readiness

Readiness is not a single trait. It is a system of conditions that either enable or inhibit transformation. We organize readiness into three dimensions as follows.

1. OBSERVE Readiness

Can the organization see what is happening and understand its implications?

2.  ACCEPT Readiness

Can the organization process change without rejecting it?

3.  ACT Readiness

Can the organization execute transformation effectively?

The readiness diagnostic

OBSERVE READINESS

1. Supply chain literacy at the top

Does the C-suite understand supply chain as a strategic capability, or merely as a cost center?

Diagnostic questions

• Has the CEO spent meaningful time in supply chain operations?
• Does the board include supply chain expertise?
• Do marketing and supply chain collaborate or compete?

2. External awareness systems

Does the organization systematically scan for external threats and opportunities?

Diagnostic questions

• Is there continuous monitoring of disruptive technologies, competitor moves, and market shifts?
• Are threats surfaced or filtered out?
• Can leadership distinguish signal from noise?

3. Data visibility and trust

Can the organization trust its own data? Organizations often sit on oceans of data but extract only drops of insight. Many are racing into AI on the foundation of dirty data. If you cannot answer basic supply chain questions with confidence, you are not ready for advanced capabilities.

Diagnostic questions

• Do you have a single source of truth?
• Can you trace data lineage and verify accuracy?
• Are you generating insight or merely accumulating data?

4. Complexity vs. complications clarity

Does leadership distinguish between complexity that creates value and complications that add no value? Serving 47 countries with different regulations is complex. Maintaining three ERP systems because no one led the consolidation is complication.

Diagnostic questions

• Can leadership identify which complexities are market-driven versus self-inflicted?
• Is there an active effort to eliminate complications?
• Or has “that’s just how we do it” become the default explanation?

ACCEPT READINESS

5. How the organization processes failure

This may be the most critical readiness factor.

Diagnostic questions

• When a project fails, does the organization ask “what did we learn?” or “whose fault was this?”
• Are post-mortems designed for learning or blame?
• Is the system blamed appropriately when system flaws are the cause?

6. Psychological safety

Can people speak candidly without career risk?

Diagnostic questions

• Do employees believe candor is safe?
• Are messengers of bad news thanked or punished?
• Can middle managers challenge senior leadership?

7. Handling cognitive dissonance

How does the organization react when new information contradicts past decisions?

Diagnostic questions

• Does leadership change course when evidence changes?
• Does it double down to justify prior investments?
• Is “we’ve always done it this way” accepted as an argument?

ACT READINESS

8. Time orientation: The existential question

Organizations that optimize only for 90-day cycles are choosing slow decline.

Diagnostic questions

• Does the organization make investments with 3- to 5-year paybacks?
• Can leadership articulate a long-term supply chain strategy?
• Can it absorb short-term pain for long-term positioning?

9. Organizational slack

Transformation requires time, money, and attention.

Diagnostic questions

• Is everyone consumed by day-to-day firefighting?
• Are innovation resources protected or cut first?
• Do leaders have bandwidth to sponsor change?

10. Structural flexibility

Does the structure support cross-functional collaboration and fast response?

Diagnostic questions

• Are cross-functional teams routine or exceptional?
• Is information shared or hoarded?
• Are decisions pushed to the edges or concentrated at the top?
• Can teams form and dissolve quickly?

11. Experimentation discipline

Many firms claim to value experimentation but lack the discipline to do it well.

Warning sign: pilot purgatory

Organizations run endless pilots but never commit to scaling success.

Diagnostic questions

• Are success criteria defined upfront?
• Is there commitment to act on results before the pilot begins?
• Are multiple small bets run in parallel?
• How many pilots have no decision timeline?

12. Governance alignment

Transformation requires alignment across leadership and governance.

Diagnostic questions

• Does the board understand and support the long-term supply chain agenda?
• Is the board focused only on financial risk, or also on disruption risk?
• Does it provide air cover for reasoned risk-taking?
• Are digitally savvy directors present?

What good looks like

Some organizations do get this right. Procter & Gamble’s transformation of supplier relationships in the early 2000s is one example. Rather than treating suppliers as adversaries to be squeezed, P&G invested in joint planning, shared forecasting data, and collaborative innovation. The result was not just lower cost, but real competitive advantage. Suppliers brought P&G their best ideas first because P&G became a preferred customer.

The pattern is consistent: organizations that successfully transform their supply chains first build the conditions for readiness. Strategy and tactics come later.

The 10-10-80 Rule: Why the first project matters

Whenever major change is proposed:

• 10% will oppose it no matter what.
• 10% will support it immediately.
• 80% will wait to see what happens.

This is why the first project must succeed. Fence-sitters are watching. A visible early success builds momentum; an early failure validates the skeptics.

Implications

• Choose the first project carefully.
• Resource it for success.
• Publicize the results.
• Use it to build support for the next initiative.

Helpful vs. harmful narratives

Narratives that enable transformation:

• “We are problem solvers.”
• “We are pioneers.”
• “We learn from everything.”
• “The status quo is the riskiest option.”

Narratives that kill transformation:

• “This is how we’ve always done it.”
• “We are the industry standard.”
• “If it ain’t broke, don’t fix it.”
• “We tried that once and it didn’t work.”

The consistency test

Ready organizations are consistent. They do not claim to value innovation while punishing risk-taking, or claim to value the long term while measuring only the short term.

Diagnostic questions

• Do compensation systems reward the behaviors leadership claims to value?
• Do promotion decisions align with stated values?
• When words and actions conflict, which wins?

Using this framework

For supply chain leaders. Assess readiness honestly before launching major transformation efforts. Where readiness is weak, either build it first or design initiatives that can succeed despite the constraints.

For C-suite executives. Supply chain transformations usually fail not because of bad plans, but because the organization never established the conditions for success.
That is a leadership issue.

For boards. Your job is not simply to approve transformation plans. It is to ensure the organization has the time horizon, risk tolerance, talent, and governance alignment
to execute them.

Conclusion: The choice

Moving at the speed of change is a choice, not a circumstance. Organizations that embrace the new supply chain do so because their leaders create the conditions for transformation. Those that reject proven innovations do so because they never addressed the underlying readiness gaps.

The story that opened this article may date from 1998–2012, but the underlying

issues remain highly relevant. Consider today’s challenges:

• AI implementation: Many firms are building AI on dirty data foundations.
• Geopolitical restructuring: Networks are being redesigned for resilience.
• Sustainability compliance: Carbon reporting is changing supplier relationships.
• Tariff volatility: Decision-making must occur faster and under greater uncertainty.

The new supply chain is ready for you. The question is whether your organization is ready for it.

In 10 years, will your supply chain be remembered as the capability that enabled your organization’s growth—or the function that could not get out of its own way? The answer depends on the choices being made today.

Footnote 1: The DuPont Strategic Profit Model (or DuPont Analysis) is a financial framework that breaks down Return on Equity (ROE) into three key components—net profit margin (profitability), asset turnover (efficiency), and financial leverage (debt)—to evaluate the primary drivers of a company’s performance. Developed in the 1920s, this model allows managers and investors to identify whether high/low ROE is driven by operational efficiency, asset utilization, or debt usage.  It is used to show non-supply chain people how changes in inventory, asset turnover and other operational decisions made by the supply chain can financially affect the firm and its performance, as measured by ROE.

---

About the authors

Steven A. Melnyk, Ph.D., is an emeritum professor of Supply Chain Management at Michigan State University. He has co-authored 25 books, more than 100 refereed journal articles, and more than 300 practitioner articles. He is a past member of the APICS Board of Directors. Since retiring in 2024, Dr. Melnyk is now part of the Executive Development Program at Michigan State University and can be reached at [email protected]

Alan Amling, Ph.D., is an assistant professor of practice in Supply Chain Management at the University of Tennessee’s Haslam College of Business and CEO of Thrive and Advance, LLC. This article is adapted from “Organizational Velocity: Turbocharge Your Business to Stay Ahead of the Curve.” He can be reached at [email protected].

 

SC
MR