When it comes to getting a good return on investment, businesses should be equally focused on mitigating risks as they are on earning a profit. Getty Images

Consider for a moment the race to build the next super computer. Google, Alibaba and other U.S. and China companies are racing to build a machine — called quantum computing — far more powerful than anything the world has ever seen. In this race, China reportedly has the lead.

Given that this kind of technology can protect trillions of dollars in corporate and even national secrets, why do American companies lag behind? If such research and development represents an unknown and is a potential business risk, should U.S. companies be interested in assuming such a task? Rice Business professors Vikas Mittal, Yan Anthea Zhang and a Rice Business Ph.D. student Kyuhong Han, may have answers.

They researched the various ways companies create strategic advantages for themselves. What is the relationship between these strategies and the risks involved? Companies create value through innovation-based activities such as research and development or else via branding and advertisement. As there's no set formula for success, each company has its own approach — which could affect the risk associated with the company's stock price (called idiosyncratic risk).

Typically, the two strategic pillars are examined separately, rather than jointly. But when they compared the two approaches, they found that one presented far more risk than the other.

To reach their conclusions, the Rice team looked at a data set of 13,880 firm-year observations that included 2,403 firms operating in 59 industries over 15 years (2000–2014). The data sets were from the firms' annual operational and financial information from Standard & Poor's Compustat, the University of Chicago's Center for Research in Security Prices and from the Kenneth French Data Library. What the data revealed was the stock price of companies that placed a higher strategic emphasis on marketing and branding (called value appropriation) than companies that focused research and development (called value creation).

If it is less risky for a firm to emphasize branding and marketing over research and development it stands to reason that firms would want to exercise caution in big new research and development efforts. What's the payoff for making a quantum computer or even Space X, after all, if the research and development risks associated with the endeavor are extraordinarily high? In some instances, it may be much safer to rebrand and market. Closer to home, many companies in the oil and gas industry bet big on innovative ventures — costly product features, digitization initiatives and so on that may only increase the risk to their stock price than meet customer needs.

The researchers found that firms that plunge big efforts into research and development have more to worry about than whether their innovations will work. They have to weather the fluctuations of industry demand. When industry demand is volatile, the downside of excessive research and development, at the cost of customer-relevant strategies is even worse.

For the Rice Business researchers, the lessons for managers are clear. The return on investment is intimately linked not only with optimizing potential profits but also minimizing potential risks. Research and development heavy endeavors like Space X and quantum computers may be flashy, but in the event of an unexpected drop in demand, they're also more likely to plummet to earth, creating stock-price volatility.

Managers need to think about the elements that create risk — like demand instability. The more companies create a stable and predictable client base, the less risk that they have to face in the stock market. There is still a tendency among many firms to see advertising and research and development as preceding and guiding customer perceptions, preferences and behaviors. But perhaps the relationship is just the opposite.

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This article originally appeared on Rice Business Wisdom. Vikas Mittal is the J. Hugh Liedtke Professor of Marketing at the Jones Graduate School of Business at Rice University. Yan Anthea Zhang is a Fayez Sarofim Vanguard Professor of Management at the Jesse H. Jones Graduate School of Business at Rice University. Kyuhong Han is a marketing Ph.D. student at the Jones Graduate School of Business at Rice University.

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Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.