How to think outside the box — according to research

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What happens to creativity when those who use a particular thinking style tried a different approach? Getty Images

Creativity is an essential ingredient in problem-solving, and the importance of "thinking outside the box" has been stressed in nearly every context imaginable, business or otherwise. But that mantra assumes — wrongly — that we all start off thinking inside the same sort of cognitive box.

Instead, each person has a distinctive cognitive style: some of us, for example, are more intuitive, and others approach the world more rationally. What happens to creativity when those who use a particular thinking style tried a different approach?

Rice Business Professor Erik Dane decided to investigate. Along with colleagues Markus Baer of Washington University in St. Louis, Michael Pratt of Boston College, and Greg Oldham of Tulane University Dane studied typical thinking styles, rational versus and intuitive, and how resisting the most familiar one can affect creativity.

Rational thinkers, the professors noted, learn information deliberately and engage in thoughtful analysis. They depend on a linear, or sequential, way of processing information. Intuitive thinking, meanwhile, is an unconscious way of processing information. It's essentially the opposite of rational thinking: quick and holistic, rather than deliberate and comprehensive.

When a rational thinker faces a problem, her mind goes through multiple stages, tapping relevant mental data bases and coming up with alternative solutions. Her mind evaluates and refines these scenarios to choose the best possible solution to the problem.

An intuitive thinker, on the other hand, goes with his gut. Many researchers believe this type of thinking sparks creativity because it integrates so many different pieces of experience.

To explore what happens when one type of thinker follows a different approach, Dane and his fellow researchers colleagues gave test subjects a scenario. How could they get more students to come into a gift shop? Participants first had to come up with ideas using either an intuitive or a rational problem-solving approach. Then they filled out a short questionnaire. Afterward, the professors evaluated the ideas as creative or not creative, based on originality and usefulness.

When a participant wasn't used to rational thinking and had to problem-solve using a more rational approach, he or she came up with more creative ideas, the researchers found. This, the researchers said, suggests it's worth encouraging intuitive thinkers to change up their problem-solving style to come up with new ideas.

Curiously, it's relatively easy to influence a person's cognitive approach to a problem, the researchers found. At the same time, the research didn't suggest that either approach — rational or intuitive thinking — was inherently better than the other. In fact, they wrote, future research on the topic ought to analyze what happens when subjects are encourage to take a hybrid rational-intuitive approach.

In the meantime, whether you're trying to lure customers to your new coffee shop, or figuring out the best ending to your crime novel, try attacking the problem with the thinking style that's least familiar to you. To truly think outside the box, the first thing to do is peer over the side to see what style of thinking most often boxes you in.

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This article originally appeared on Rice Business Wisdom.

Erik Dane is an associate professor of management at the Jones Graduate School of Business at Rice University.

Researchers found that there's still very little conceptual explanation for how individual creative attempts become organizational innovation. Getty Images

Researchers find there's not much data on how creativity becomes change in the workplace

Houston Voices

Innovation and creativity are crucial tools that all businesses need in order to prosper. Research into how these tools work covers a broad area and crosses various disciplines. In the past, much of this research has been divided: One side looked at innovation, which focuses on how ideas are implemented, while the other examined creativity, which focuses on coming up with new ideas. Rice Business Professor Jing Zhou and colleagues addressed this divide by reviewing research going back a little more than a decade, looking for key measures that could be used as guidelines for future research.

Zhou and her colleagues began their work by reviewing the practical and theoretical perspectives of innovation and creativity in the workplace. They then created a framework for future research after identifying prominent theories.

Before getting started, however, they needed clear definitions for both innovation and creativity. Creativity, Zhou proposed, centers on idea generation. It's the first step toward innovation. Innovation, she concluded, stresses the implementation of ideas. This happens at different levels: individual, team, organization, or across multiple levels.

At the team level of innovation, research has progressed significantly, the authors found. They suggest that researchers now focus on other aspects of team-level research, such as team environment, leadership and facilitators of workgroups.

At the organizational level, Zhou and her colleagues found that numerous studies looked at the factors that influence innovation. But, they concluded, there's still very little conceptual explanation for how individual creative attempts become organizational innovation.

The team's review reveals the enormous strides that researchers have made in the field of creativity and innovation in recent years, and clarifies how their studies have been used by different organizations.

Despite advances in the field, however, there are still shortcomings. Many studies, for example, are hampered by problematic research approaches. Some lack theoretical groundwork and few take an inclusive approach to multi-level studies.

Zhou and her colleagues argue that addressing these limitations would be a tremendous leap forward in understanding creativity and innovation in the workplace. Without innovation, companies can't prosper and progress. The same holds true for academic research into these lifelines of business success: It will need to expand and dig deeper or cease to be relevant in practice.

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This article originally appeared on Rice Business Wisdom.

Jing Zhou is the Houston Endowment Professor of Management and Director for Asian Management Research and Education at Jones Graduate School of Business at Rice University.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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