Men are more prone to take risks for personal financial gain than women, and women are more likely than men to take risks to protect themselves from financial loss. Pexels

When motorcycle daredevil Evel Knievel leapt over cars, vans and fountains, it was little surprise that the person pulling those stunts was a man. That's not to say women never partake in high-risk behavior (Danica Patrick, anyone?). But decades of research confirm that men really are more inclined to take risks.

Snake River Canyon and the Indy 500 aside, economic life offers plenty of risks as well. When these risks involve investing, men under certain circumstances are more likely than women to take dangerous leaps, but why?

Rice Businesses professor Vikas Mittal joined Xin He of the University of Florida and J. Jeffrey Inman of the University of Pittsburgh in three studies to examine why men and women engage in risky business. Specifically, the team wanted to test whether each gender's risk-taking was moderated by a trait called issue capability: a decision-makers' belief that he or she can solve an issue.

The team grounded their work in agency-communion theory. This posits that men are more driven by goals that further self-interest ("agentic" goals) and women are more driven by goals that further coexistence ("communion" goals).

Based on this theory, the researchers hypothesized that men making investment decisions would take greater risks as their issue capability rose. This would occur because men, who are more focused on maximizing gains, would become more risk-seeking as their self-capability perceptions increased.

Conversely, the researchers theorized, women who faced similar investment decisions would focus on avoiding loss — even when their issue capability rose. This fundamental difference in investing perspective — men trying to maximize any gain versus women trying to minimize any loss – would be at the heart of a diametrically opposite stance on financial risk-taking.

All three studies proved the theory to be correct.

In the first study, the researchers asked men and women to wager money on Daily Double questions in "Jeopardy!" The male contestants with higher issue capability (i.e. demonstrated knowledge of the category) took the biggest risks. The women contestants showed equal levels of betting behavior regardless of whether they had high issue capability or not.

In the second study, the researchers dove into the psychology underlying gender and issue capability. First, the researchers primed male and female participants to believe they had either good or bad track records with risky investment decisions. Then they asked both groups to imagine they could invest $20,000 at varying levels of risk.

When it came to investing for gains, the researchers found, the women's beliefs about their issue capability made no real difference in their financial choices. Even after they had been primed to think they were highly capable investors, the women participants were less prone than the men to focus on the upside potential

And the men? Those who believed they were "capable" made the riskiest investment decisions. They also reported the highest number of thoughts about the positive potential of the various investment scenarios. Statistical analysis proved that these gain-maximization thoughts egged them on in their risk-taking.

On the other hand, those male participants who weren't primed to feel capable showed risk-taking patterns identical to that of the female participants. The results, in other words, suggest that the key difference between men and women's risk-taking is not innate — but stems from their self-conviction in investment competence.

The third study examined these processes in yet another way, by giving female and male participants the chance to maximize gains through making investments in stocks, or to minimize losses through buying insurance. Once again, the men primed to see themselves as ace investors made the riskiest investments. The women who felt themselves especially capable kept their risk-taking steady.

The women's behavior only changed when they thought they were subpar investors. When both women and men were told they were stock market duds, the women were more likely than the men to buy insurance — in other words, to take traditional measures to defend against loss.

Risk-taking choices, in other words, can no longer be written off as just boys being boys or girls being girls. More accurately, boys will be boys when a male investor thinks he is especially capable and that taking a risk will benefit him personally. That's not always a good thing. A female investor, who will typically focus on minimizing potential loss, can contribute a lot to investing decisions. Taking a big risk, as many an investor knows, isn't always the best move.

Mittal's findings inspire a list of possibilities for future research. What will happen to these behaviors as more women assume leadership jobs and more men get to show their skill as caregivers? Should senior management teams have both male and female representation to balance out the upsides and downsides of investment decisions? What about at home: would household decisions change for the better if both the man and the woman contributed their perspective?

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This story originally ran on Rice Business Wisdom.

Vikas Mittal is the J. Hugh Liedtke Professor of Marketing at Jones Graduate School of Business at Rice University.

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Houston space tech co. rolls out futuristic lunar rover for NASA's Artemis missions

to the moon

Houston-based space exploration company Intuitive Machines just unveiled its version of a lunar terrain vehicle that’s designed to be used by astronauts in NASA’s Artemis moon discovery program.

Intuitive Machine recently rolled out its RACER lunar terrain vehicle (LTV) at Space Center Houston. RACER stands for Reusable Autonomous Crewed Exploration Rover.

The rover can accommodate two astronauts and nearly 900 pounds of cargo. In addition, it can pull a trailer loaded with almost 1,800 pounds of cargo.

Intuitive Machines will retain ownership and operational capabilities that will enable remote operation of the LTV between Artemis missions for about 10 years.

NASA chose Intuitive Machines and two other companies to develop advanced LTV capabilities.

“The objective is to enable Artemis astronauts, like the Apollo-era moonwalkers before them, to drive the rover, which features a rechargeable electric battery and a robotic arm, across the lunar surface, to conduct scientific research and prepare for human missions to Mars,” Intuitive Machines says in a post on its website.

The company tapped the expertise of Apollo-era moonwalkers Charlie Duke and Harrison Schmitt to design the pickup-truck-sized RACER. Intuitive Machines engineered the LTV in partnership with Atlas Devices, AVL, Barrios, Boeing, CSIRO, FUGRO, Michelin, Northrop Grumman, and Roush.

“This [project] strategically aligns with the Company’s flight-proven capability to deliver payloads to the surface of the Moon under [NASA’s] Commercial Lunar Payload Services initiative, further solidifying our position as a proven commercial contractor in lunar exploration,” says Steve Altemus, CEO of Intuitive Machines.

Astronauts at NASA’s Johnson Space Center are testing the static prototype of the company’s LTV. Meanwhile, the fully electric mobile demonstration LTV will undergo field testing later this month near Meteor Crater National Park in Arizona.

NASA expects to choose an LTV provider or providers in 2025.

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Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

  • AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
  • Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
  • Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
  • Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
  • IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
  • Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
  • Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
  • Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
  • RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
  • Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
  • Taikun.aicombines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
  • Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
  • Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

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This article originally ran on EnergyCapital.