Organisations are spending more on technology than at any point in history. And yet a quiet unease has settled into the C-suite. The systems are live. The projects are closed. And the financial returns that justified the investment have largely not arrived.
McKinsey estimates that 70 percent of digital transformation initiatives fail to meet their stated objectives. Bloch, Blumberg, and Laartz, analysing more than 5,400 large IT projects, found that the average project delivers 56 percent less value than predicted. These are not outliers. They are the average.
The problem is not technology adoption. It is the failure to treat technology investment as a financial discipline. We call the resulting shortfall the Value Gap: the cumulative, portfolio-level difference between projected and realised financial returns.
The Technology Was Never the Problem
When a technology investment underperforms, the instinct is to interrogate the technology. Three decades of research point consistently elsewhere.
Schweikl and Obermaier, reviewing 86 firm-level studies, found that mismanagement remains the most neglected explanation for IT underperformance. Brynjolfsson and Hitt demonstrated that variance in IT returns across firms is driven primarily by organisational factors, not technology differences.
Two organisations can deploy identical systems and produce materially different financial outcomes. The technology is not the variable that explains the difference.
The mechanism, as Soh and Markus identified, is sequential: technology must convert expenditure into functional assets, assets into operational impact, and operational impact into financial performance. Failure at any stage interrupts the value chain. The project succeeds. The value does not arrive.
The Patterns Are Repeatable. The Leakage Is Live.
What makes the Value Gap so persistent is that it is not a historical problem waiting to be resolved. It is a set of structural patterns that repeat with every investment cycle.
Understanding why these patterns persist, despite years of executive attention and governance investment, requires looking at a problem that sits beneath all four of them. That is the subject of part two.
References
Bloch, M., Blumberg, S., & Laartz, J. (2012). Delivering large-scale IT projects on time, on budget, and on value. McKinsey Quarterly.
Brynjolfsson, E., & Hitt, L.M. (1998). Beyond the productivity paradox. Communications of the ACM, 41(8), 49–55.
Gartner (2024). Gartner forecasts worldwide IT spending.
McKinsey & Company (2018). Unlocking success in digital transformations.
PwC (2025). 28th Annual Global CEO Survey.
Schweikl, S., & Obermaier, R. (2020). Lessons from three decades of IT productivity research. Management Review Quarterly, 70(4), 461–507.
Soh, C., & Markus, M.L. (1995). How IT creates business value: A process theory synthesis. ICIS Proceedings.
Ward, J., Taylor, P., & Bond, P. (1996). Evaluation and realization of IS/IT benefits. European Journal of Information Systems, 4(4), 214–225.