Tag: R&D

Professor Anne Marie Knott’s book based on her research into the connection between R&D investment and growth isn’t available until the middle of March, but it’s already attracting media buzz. How Innovation Really Works is featured in a column by Lee Schafer  in the Minneapolis Star Tribune:

Knott_chosen

In a book coming out next month called “How Innovation Really Works,” Knott lumps R & D tax credits in with a long list of other misconceptions, questioning the conventional wisdom of strategies like only chasing radical ideas or looking outside a company for new ideas, known as “open innovation.”

Yet she’s also hopeful. The conventional approach of having your own team of engineers and marketers solve problems still works. What has stalled innovation is mostly having executives routinely misunderstand the value of what they are getting from R & D spending. In other words, the innovation problem seems fixable.

Knott, who teaches strategy at Washington University in St. Louis, knows she’s a rare optimist. It’s now common to hear how we have run out of big ideas, as the Wall Street Journal recently reported. “My answer that is no, there is plenty of opportunity,” she said. “Firms have just gotten worse at the R & D they do.”

Armed with insights from her experience as an R&D project manager, 20 years of academic research, and two National Science Foundation grants, Knott devised RQ (Research Quotient), a revolutionary new tool that measures a company’s R&D capability―its ability to convert investment in R&D into products and services people want to buy or to reduce the cost of producing these.

RQ not only tells companies how “smart” they are, it provides a guide for how much they should invest in R&D to ensure that investment will increase revenues, profits, and market value.

Knott’s RQ research was the recipient of the Olin Award in 2015.




Judges of the 2015 Olin Award competition couldn’t choose just one winner this year from the field of relevant and rigorous research papers submitted by Olin faculty, so they named two winners. Professors Andrew Knight and Anne Marie Knott were each awarded the prize.

Professor Knott presented her paper, “Explaining the Broken Link Between R&D and GDP Growth,” on March 27 to business leaders from industries including pharmaceuticals, life sciences and technology, energy, and household product manufacturing.

Knott’s latest research grew out of her work on developing a measure of R&D productivity called the Research Quotient (RQ), which forms the basis for CNBC’s annual firm innovation rankings. RQ measures the percentage increase in revenues achieved from a 1 percent increase in R&D spending, and fits the construct in growth theory that predicts a firm’s profits, growth, and market value.

In searching for an explanation of RQ declines at some companies and the broken link between R&D productivity and GDP growth Knott realized there was a culprit hiding in plain sight: outsourced R&D!

Firms failed to realize outsourced R&D has zero returns! Thus while a 10% increase in internal R&D increases later revenues by 1.7%, a 10% increase in outsourced R&D has no impact on later revenues.

The good news is this problem is easily reversed! And it’s likely R&D can again drive firm and economic growth. If firms restore their prior R&D productivity levels by gradually bringing outsourced projects back in house, Knott predicts growth in firm revenues and GDP will follow.

Learn more about Professor Knott’s articles and presentations.

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An Invitation

The 2015 Olin Award co-winner, Professor Andrew Knight, will present his paper “Who Defers to Whom and Why? Dual Pathways Linking Demographic Differences and Dyadic Deference to Team Effectiveness” on May 12. Professor Knight’s research explains what drives interpersonal influence in teams and connects patterns of influence to team performance. Register for this event by emailing your RSVP to CorporateRelations@olin.wustl.edu.

Read more faculty research and watch professor videos here.




The Wall St. Journal reports that Google Inc. is placing time limits on its research and development projects. Known for its heavy investment in R&D, Google reportedly spent $9.8 billion on R&D last year and has reaped lucrative rewards from its in house innovations and designs. But Prof. Anne Marie Knott, tells the WSJ that in 2013 Google “was nearing her estimate of the optimal investment on R&D, beyond which companies generally see diminishing returns.”  Article is behind WSJ subscriber paywall.




CNBC unveiled a new ranking of the most innovative companies in the market based on research and a ranking system devised by Olin professor of strategy Anne Marie Knott. The CNBC RQ 50 includes companies from a wide swath of industries from oil, gas, and defense to Silicon Valley’s stars. RQ stands for Research Quotient.

The CNBC RQ 50 is a unique list of publicly traded companies that derive the greatest shareholder value from their research and development spending (at a minimum of $100M annually), created in partnership with Washington University in St. Louis professor Anne Marie Knott, inventor of the Research Quotient (RQ). The RQ is calculated based on Professor Knott’s proprietary formula and is designed to help investors know what a company can expect to gain in revenue from an increase in R&D investment. – CNBC website

“Economic growth comes from innovation and R&D is the biggest source of innovation,” says Prof. Knott. “So if we can get each firm to increase their RQ a little bit that will lead to a permanent increase in economic growth.”

Prof. Anne Marie Knott

Prof. Anne Marie Knott

“The longer-term benefits are even greater,” Knott says, “as RQ also allows companies to more closely link changes in R&D strategy, practices and processes to profitability and value.”

Knott’s research led to the development of the RQ measurement tool. It is designed to help companies address several key questions that underlie R&D strategy:

  • How does a company know what kind of return it is getting from R&D?
  • Is it better at R&D than the competition?
  • How much should it be spending and what can it do to improve the effectiveness of those investments?

“I had been hoping for a measure like this since before becoming an academic,” Knott says. “Existing measures of innovation, such as R&D intensity and product/patent counts, don’t allow firms, policy makers or academics to know the answers to these big questions.”

Knott’s RQ metric allows companies to estimate the effectiveness of R&D investment relative to the competition.

“It lets them see how changes in their R&D expenditure affect the bottom line and, most important, their company’s market value,” Knott says.

Images:  CNBC video screen shot from CNBC website




Profesor Anne Marie Knott has received a grant of $106,537 from the National Science Foundation for her research into the relationship between firms’ innovation initiatives through research and development and the impact of that investment on economic performance.

The Harvard Business Review published an article by Knott in its May 2012 issue about her research titled, “The Trillion-Dollar R&D Fix.”  Knott calls her new metric for R&D productivity “RQ”—short for Research Quotient. RQ allows companies to estimate the effectiveness of their R&D investment relative to their competition and to see how it affects R&D expenditures, the bottom line, and the company’s market value.

From the NSF award announcement:

“The National Center for Science and Engineering Statistics, SBE Directorate for Social, Behavioral & Economic Sciences is managing the project. Knott is the principal investigator.

At the policy-level, the study provides theoretically motivated and empirically rigorous insights for directing investment in innovation for the America COMPETES Reorganization Act of 2010: characteristics of firms likely to generate the highest returns to that investment (who). Second, for practitioners, the study offers firms prescriptions for increasing their R&D effectiveness (how).

Thus the study has the potential to increase the aggregate R&D productivity in the U.S. Finally, for academics, the study will answer long-standing questions in the economics of innovation literature to support future theory development on the optimal conditions for innovation.”

 


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