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May 20, 2025 – The global race for critical minerals is putting unprecedented pressure on mining companies to extract more metals—lithium, cobalt, copper, nickel—while slashing waste, emissions, and workplace accidents. In Sub-Saharan Africa, home to some of the world's richest deposits, the challenge is even sharper: mines must compete internationally despite unreliable power, patchy broadband, and limited skilled labor. A fresh longitudinal study suggests digitalisation can be a powerful lever, but only when it's embedded as a core organisational capability rather than a collection of isolated tech projects.
The research, titled "Digitalisation and Sustainable Operational Performance in Sub-Saharan African Mining Companies: Evidence from Panel Data," was conducted by Shabir Ahmed and Lawrence Ogechukwu Obokoh from the University of Johannesburg's Johannesburg Business School and published in the journal Sustainability. It tracks 48 medium-to-large mining companies across South Africa, Zambia, Zimbabwe, the Democratic Republic of the Congo, Mali, and Madagascar over a decade (2013–2022), covering 468 firm-year observations.
Rather than looking at a single technology, the authors built a Digitalisation Index that includes artificial intelligence, the Industrial Internet of Things, predictive maintenance, robotics and automation, cloud computing, digital twins, and advanced analytics. This holistic approach captures how companies integrate digital tools into their operations, not just whether they own a particular system.
The biggest payoff: keeping equipment running
The study's most striking finding is that the strongest link between digitalisation and performance is in equipment utilization and maintenance effectiveness—a coefficient of 0.341 in the fixed-effects model. Operational efficiency follows at 0.315, while resource and environmental performance scores 0.268, and occupational health and safety 0.252. All four relationships are statistically significant.
This is a wake-up call for mining executives who might be tempted to chase flashy autonomous haulage systems or AI-driven exploration tools. The data suggests that the fastest and most reliable returns come from tackling the industry's oldest headache: unplanned downtime. In mining, a single day of equipment failure can cost millions in lost production and emergency repairs. Predictive maintenance, continuous monitoring, and real-time analytics help identify faults early, optimise maintenance schedules, and squeeze more productive hours out of capital-intensive machinery.
"The results imply that companies seeking a practical entry point into digital transformation may gain more from improving maintenance intelligence and operational visibility than from pursuing highly complex technologies simply because they appear more advanced," the authors note. This is especially relevant in Sub-Saharan Africa, where ageing fleets, constrained maintenance capacity, and infrastructure disruptions make downtime even more costly.
Gradual gains in environment and safety
Environmental and safety benefits, while positive, show smaller coefficients. Digital tools do help reduce energy and water consumption, improve emissions management, and enable remote monitoring of hazardous zones. They also support early hazard detection and predictive risk management. But the research indicates that these outcomes depend heavily on non-tech factors: regulation, workforce training, safety culture, management commitment, and institutional conditions. A mine can install the best sensor network, but if workers aren't trained to act on alerts or if safety incentives are misaligned, the technology won't deliver its full potential.
The government's role: infrastructure outside the gate
One of the study's most important policy implications is that mining digitalisation cannot be treated as a corporate IT decision alone. Governments profoundly shape the environment in which digital systems operate. Reliable electricity, affordable broadband, cybersecurity frameworks, skills development programs, and regulatory stability are all prerequisites for effective digital mining. A mine with world-class analytics still struggles if the power goes out six times a day or if local technicians can't maintain the software.
This creates a development-policy opportunity: instead of offering narrow tax breaks or subsidies for individual mining companies, governments and development institutions could invest in shared digital infrastructure and capabilities that boost productivity across the entire industrial economy. Digital skills training, data centers, fibre networks, and electricity grid upgrades benefit mining while also supporting manufacturing, logistics, and other sectors.
Methodological strength and future research
The study uses fixed-effects models to control for time-invariant differences between companies and supplements them with System Generalized Method of Moments (GMM) to address dynamic persistence and potential endogeneity. An alternatively weighted Digitalisation Index also yields a positive result, confirming that the core finding is not a statistical artifact.
However, the Digitalisation Index relies on what companies report in annual and ESG disclosures. A firm may use a technology without disclosing it, so the index measures observable implementation rather than full digital maturity. The sample also skews toward larger companies with consistent reporting, meaning small-scale and informal miners—common in Sub-Saharan Africa—are not represented.
Future research could broaden geographic coverage, incorporate primary operational data, and examine how institutional quality, digital leadership, and organisational readiness shape the returns from technology adoption. The authors also flag generative AI, autonomous mining, digital twins, and advanced analytics as areas needing longer-term investigation.
Implications for executives and policymakers
For mining executives, the message is clear: invest in digitalisation as a capability, not a shopping list. Predictive maintenance and operational analytics offer the quickest wins, but sustained gains require combining technology with workforce development, process redesign, cybersecurity, and change management. Companies that build a culture of data-driven decision-making will outperform those that treat digital tools as add-ons.
For African governments, the study underscores that the real digital mine starts outside the mine gate. By improving the enabling environment—power, connectivity, skills, regulation—they can help the entire mining sector compete globally while advancing Sustainable Development Goals. The authors link digital mining to SDG 8 (decent work and economic growth), SDG 9 (industry, innovation, infrastructure), SDG 12 (responsible consumption and production), and SDG 13 (climate action). Better resource efficiency, safer workplaces, and stronger industrial productivity support all four, provided digitalisation complements rather than substitutes for effective environmental and labour governance.
In a continent where mining is both a economic lifeline and a source of environmental and social tension, this study offers a data-driven roadmap: start with keeping the machines running, build the broader capability, and don't forget the power lines.
