When Digitalization Meets Sustainability

Ville-Veikko Piispanen’s blog text on the intersection of digitalization and sustainability.

What we learned from studying an industrial front-runners?

Across industries, two major forces are reshaping how companies operate: digitalization and sustainability. Traditionally, organisations have treated these as separate strategic tracks one focused on efficiency and automation, the other on climate goals, circularity, and social responsibility. But what happens when a company attempts to integrate both into its core strategy?

In our recently published study in Circular Economy and Sustainability, Strategic Integration of Digitalization, Industry 4.0 and Sustainability, we explored exactly this question. Written by Ville-Veikko Piispanen and Panu Hentunen, the research provides a rare, behind-the-scenes look at how a multinational company recognized for leadership in both digital transformation and sustainability attempts to combine these agendas in real organisational practice. What we uncovered offers valuable lessons for any organisation navigating the increasingly interconnected digital-sustainability landscape.

Why digitalization and sustainability need each other?

Today’s climate crisis and rapid biodiversity loss demand more than incremental improvements. Companies are being pushed to rethink how they use materials, energy, and data. At the same time, digitalization once treated as an operational upgrade has become a strategic necessity. Industry 4.0 technologies now provide powerful opportunities to support circular economy goals. AI and advanced analytics help optimise energy use, material efficiency, and logistics. IoT sensors deliver the traceability and transparency needed across supply chains and product lifecycles. Cloud and edge computing make it possible to process the massive data streams required for sustainability reporting and circular design.

However, our study makes clear that the synergy between these domains is not automatic. To unlock their combined potential, companies must intentionally align their digital and sustainability strategies. This process can open new doors but also reveal constraints, trade-offs, and organisational tensions that are often overlooked.

What we found?

Digitalization emerged as a powerful enabler of sustainability. Managers consistently emphasised that digitalisation is essential for achieving sustainability and CE goals. Through interviews, we identified concrete examples of digital tools improving circularity. AI-driven optimisation significantly enhanced material and energy efficiency, IoT-enabled traceability supported circular design and helped meet regulatory requirements, and data-driven decision-making accelerated experimentation and continuous improvement.

But digitalization also brings new challenges. Our study shows that digitalisation does not automatically make a company more sustainable. Growing data volumes and increased reliance on cloud computing raise energy consumption. AI systems can embed bias or introduce new forms of psychological pressure on employees. Expanding IoT infrastructures also create significant privacy concerns, particularly in highly monitored workplaces. These issues complicate the popular

narrative that “more digital = more sustainable.” Instead, digitalization produces a complex mix of efficiencies, risks, and rebound effects that require deliberate and thoughtful governance.

We also uncovered that capability gaps significantly slow down Industry 4.0 adoption. Despite strong strategic ambitions, the company faced organisational barriers including outdated legacy infrastructure, fragmented data systems, uneven digital literacy across generations, and limited cross-functional collaboration. These findings reinforce that technology alone is not enough. Companies need new skills, cultural evolution, and updated governance systems to unlock the full potential of digital-circular synergies.

What this means for industry leaders?

For companies working to integrate digitalization with sustainability, several practical implications emerge. Organisations should strengthen data governance to reduce digital waste, enhance transparency, and ensure secure information flows across value chains. Ethical AI practices must be embedded into everyday operations to address algorithmic bias, privacy risks, and employee well-being. Hybrid digital infrastructures that combine edge and cloud computing will be increasingly important for improving energy efficiency, cybersecurity, and system resilience. It is equally essential to incorporate circular design principles into digital workflows through tools such as digital product passports, lifecycle traceability, and predictive maintenance. Finally, continuous learning and cross-functional collaboration are critical, as Industry 4.0 success depends not only on technology but also on the people and cultures that support and sustain these transformations.

Why this research matters?

Our research shows that integrating digitalization and sustainability, sometimes referred to as “digitainability”, is not a simple or linear technological upgrade. It is a strategic transformation that requires balancing tensions, revising governance structures, and building new organisational capabilities. Companies should be cautious about assuming that digital tools are inherently “green.” Instead, they need a clear understanding of how digital technologies actually support sustainability, where they introduce new risks, what governance structures are necessary to manage the trade-offs, and which organisational capabilities determine successful adoption.

Ville-Veikko Piispanen ([email protected])

Article

Piispanen V-V., & Hentunen, P. (2026). Strategic Integration Of Digitalization, Industry 4.0 And Sustainability: Enablers, Constraints, And Organizational Capabilities In A Multinational Company. Circular Economy and Sustainability, 6, Article 46. https://doi.org/10.1007/s43615-026-00784-8