CxOs Disappointed (So Far) by Cloud Computing Value

It should come as no surprise that CxO expectations of cloud computing payback lag expectations in the areas of resilience; agility; decision making; innovation; customer experience; profits; talent recruitment and retention; costs or reputation, for example. 

All of those business processes are shaped by many other inputs than mere applied technology. And the general rule with any important new technology is that the value is not recognized until core business processes are reshaped to take advantage of the new technology. That is as likely to happen with cloud computing as with any other important new tools. 

Any major shift in technology and related business processes takes time. So much time that there often is a “productivity paradox” where investments do not seem to make much difference in outcomes for a decade or more. 

Nokia has noted that manufacturing productivity since the 1980s has been slight, in the range of one percent per year growth, despite all the information technology applied to manufacturing. 

source: PwC 

Despite the promise of big data, industrial enterprises are struggling to maximize its value.  A survey conducted by IDG showed that “extracting business value from that data is the biggest challenge the Industrial IoT presents.”

Why? Abundant data by itself solves nothing, says Jeremiah Stone, GM of Asset Performance Management at GE Digital. At least one study suggests similar findings for broadband internet access as well. 

The consensus view on broadband access for business is that it leads to higher productivity. But a study by Ireland’s Economic and Social Research Institute finds “small positive associations between broadband and firms’ productivity levels, none of these effects are statistically significant.”

“We also find no significant effect looking across all service sector firms taken together,” ESRI notes. “These results are consistent with those of other recent research that suggests the benefits of broadband for productivity depend heavily upon sectoral and firm characteristics rather than representing a generalised effect.”

“Overall, it seems that the benefits of broadband to particular local areas may vary substantially depending upon the sectoral mix of local firms and the availability of related inputs such as highly educated labour and appropriate management,” says ESRI.

 Big waves of information technology investment have in the past taken quite some time to show up in the form of measurable productivity increases.

In fact, there was a clear productivity paradox when enterprises began to spend heavily on information technology in the 1980s.

“From 1978 through 1982 U.S. manufacturing productivity was essentially flat,” said Wickham Skinner, writing in the Harvard Business Review.

In fact, researchers have created a hypothesis about the application of IT for productivity: the Solow computer paradox. 

Here’s the problem: the rule suggests that as more investment is made in information technology, worker productivity may go down instead of up.

Empirical evidence from the 1970s to the early 1990s fits the hypothesis.  

Before investment in IT became widespread, the expected return on investment in terms of productivity was three percent to four percent, in line with what was seen in mechanization and automation of the farm and factory sectors.

When IT was applied over two decades from 1970 to 1990, the normal return on investment was only one percent. 

This productivity paradox is not new. Information technology investments did not measurably help improve white collar job productivity for decades.

To be sure, some argue that the issue is our inability to measure productivity gains. It is happening, but we are unable to measure it, many would argue. That argument will not win many supporters in the CxO suites. 

Still, the disappointment is to be expected. It will take time to reap the measurable benefits of cloud, 5G, edge computing, internet of things or any other major new technology.