As more and more offices have remote workers, managers need to know how to measure virtual employee success. Getty Images

Managers are always hunting for ways to measure performance. They need to know what's succeeding and what's not so they can make adjustments and improve a work team's output. This has led to countless research that looks at ways to measure and boost employee performance. Indeed, one recent study showed there were more than 130 models and frameworks for measuring team performance in the workplace.

But how we do business has been changing in the last two decades. Communication technology and information sharing increasingly has decentralized the workforce. More and more people are working remotely. Consider telecommuters, online messenger services such as Slack and customer service call centers routing their calls across the world. What forces determine how these virtual teams function?

In a recent study, Rice Business professor Utpal Dholakia and colleagues René Algesheimer of the University of Zurich and Călin Gurău of GSCM-Montpellier Business School looked closely at what motivates remote teams and how to measure what they do. They began with a standard input-mediator-output-input model (IMOI) to measure team characteristics such as size, tenure, communication, strategic consensus and intentions. Then they dove further, including expected team performance, actual team performance and past team performance into the equations. Finally, they analyzed the influence of motivational (desire to perform) and rational (shared goals) dimensions.

To conduct the research, Dholakia, Algesheimer and Gurău analyzed professional computer gaming teams, reasoning that such teams work together in highly competitive environments. The gamers' lack of organizational context, meanwhile, eliminated any bias that could be linked to traditional institutional structures such as culture and goals. There was a downside, however: the gaming teams didn't fully replicate the situation of virtual teams in business organizations.

Still, by choosing the European Electronic Sports League (ESL) the researchers were able to pick from more than half a million teams that play in excess of 4 million matches a year. In the end, 606 teams participated in the study by answering a questionnaire in the course of a year. The teams all had stable structures and specific objectives, strategies and training, just like virtual work teams. Data was also collected from the ESL database and included in the model.

The findings: most studies do not consider expected and actual team performance in their calculations. This is important because research shows a strong link between expectation and performance. Including both sets of results can help managers choose the right steps to enhance team strategy and effectiveness. (The study did not analyze issues such as trust, training, conflict resolution or leadership, areas Dholakia recommends for further research).

The framework devised by Dholakia and his colleagues gives researchers a more precise way to analyze remote or international teamwork. It also could help guide managers in examining a team's cultural diversity, and how that might affect output. In a time when the workplace is growing ever less tangible, Dholakia's model is a sturdy tool to measure what's happening out there.

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This article originally appeared on Rice Business Wisdom.

Utpal Dholakia is the George R. Brown Professor of Marketing at Jones Graduate School of Business at Rice University.

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Tesla recalling more than 375,000 vehicles due to power steering issue

Tesla Talk

Tesla is recalling more than 375,000 vehicles due to a power steering issue.

The recall is for certain 2023 Model 3 and Model Y vehicles operating software prior to 2023.38.4, according to the National Highway Traffic Safety Administration.

The printed circuit board for the electronic power steering assist may become overstressed, causing a loss of power steering assist when the vehicle reaches a stop and then accelerates again, the agency said.

The loss of power could required more effort to control the car by drivers, particularly at low speeds, increasing the risk of a crash.

Tesla isn't aware of any crashes, injuries, or deaths related to the condition.

The electric vehicle maker headed by Elon Musk has released a free software update to address the issue.

Letters are expected to be sent to vehicle owners on March 25. Owners may contact Tesla customer service at 1-877-798-3752 or the NHTSA at 1-888-327-4236.

Houston space tech companies land $25 million from Texas commission

Out Of This World

Two Houston aerospace companies have collectively received $25 million in grants from the Texas Space Commission.

Starlab Space picked up a $15 million grant, and Intuitive Machines gained a $10 million grant, according to a Space Commission news release.

Starlab Space says the money will help it develop the Systems Integration Lab in Webster, which will feature two components — the main lab and a software verification facility. The integration lab will aid creation of Starlab’s commercial space station.

“To ensure the success of our future space missions, we are starting with state-of-the-art testing facilities that will include the closest approximation to the flight environment as possible and allow us to verify requirements and validate the design of the Starlab space station,” Starlab CEO Tim Kopra said in a news release.

Starlab’s grant comes on top of a $217.5 million award from NASA to help eventually transition activity from the soon-to-be-retired International Space Station to new commercial destinations.

Intuitive Machines is a space exploration, infrastructure and services company. Among its projects are a lunar lander designed to land on the moon and a lunar rover designed for astronauts to travel on the moon’s surface.

The grants come from the Space Commission’s Space Exploration and Aeronautics Research Fund, which recently awarded $47.7 million to Texas companies.

Other recipients were:

  • Cedar Park-based Firefly Aerospace, which received $8.2 million
  • Brownsville-based Space Exploration Technologies (SpaceX), which received $7.5 million
  • Van Horn-based Blue Origin, which received $7 million

Gwen Griffin, chair of the commission, says the grants “will support Texas companies as we grow commercial, military, and civil aerospace activity across the state.”

State lawmakers established the commission in 2023, along with the Texas Aerospace Research & Space Economy Consortium, to bolster the state’s space industry.

Houston experts: Can AI bridge the gap between tech ambitions and market realities?

guest column

Despite successful IPOs from the likes of Ibotta, Reddit and OneStream, 2024 hasn’t provided the influx of capital-raising opportunities that many late-stage tech startups and venture capitalists (VCs) have been waiting for. Since highs last seen in 2021—when 90 tech companies went public—the IPO market has been effectively frozen, with just five tech IPOs between January and September 2024.

As a result, limited partners have not been able to replenish investments and redeploy capital. This shifting investment landscape has VCs and tech leaders feeling stuck in a holding pattern. Tech leaders are hesitant to enter the public markets because valuations are down 30 percent to 40 percent from 2021, which is also making late-stage fundraising more challenging. After all, longer IPO timelines mean fewer exit opportunities for VCs and reduced capital from institutional investors who are turning toward shorter-term investments with more liquid exit options.

Of course, there’s always an exception. And in the case of a slowed IPO market, a select slice of tech companies—AI-related companies—are far outperforming others. While not every tech startup has AI software or infrastructure as their core offering, most can benefit from using AI to revise their playbook and become more attractive to investors.

Unlocking Growth Potential with AI

While overall tech startup investment has slowed, the AI sector burns bright. This presents an opportunity for companies that strategically leverage AI, not just as a buzzword but as a tool for genuine growth and differentiation. Imagine a future where AI-powered insights unlock unprecedented efficiency, customer engagement and a paradigm shift in value creation. This isn’t just about weathering the current storm of reduced access to capital; it’s about emerging stronger, ready to lead the next wave of tech innovation.

Here's how to navigate the AI frontier and unlock its potential:

  1. Understand that data is the foundation of AI success. AI is powerful, but it’s not magic. It thrives on high-quality, interconnected data. Before diving into AI initiatives, companies must assess their data health. Is it structured in a way that AI can understand? Does it go beyond raw numbers to capture context and meaning—like customer sentiment alongside sales figures? Rethinking data infrastructure is often the crucial first step.
  1. Focus on amplifying strengths, not reinventing the wheel. The allure of AI can tempt companies into pursuing radical reinvention. However, a more effective strategy is to leverage AI to enhance existing strengths and address core customer needs. Why do customers choose your company? How can AI supercharge your value proposition? Consider Reddit’s strategic approach: They didn’t overhaul their platform before their 2024 IPO. Instead, they showcased the value of their vast online communities as fertile ground for AI development, leading to a remarkable first-day stock surge of 48 percent.

  2. Use AI as a customer-centric force multiplier. Companies with a deep understanding of their customer base are primed for AI success. By integrating AI into the very core of their product or service—the reason customers choose them—they can create a decisive competitive advantage based on delivering tangible customer value.

From Incremental Gains to Transformative Growth

This practical, customer-centric approach has the potential to help companies generate immediate growth while laying the foundation for future reinvention. By leveraging AI to optimize operations, deepen customer relationships, and redefine industry paradigms, late-state tech startups can not only survive but thrive in a dynamic market. The future belongs to those who embrace AI not as a destination but as a continuous journey of innovation and growth.

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Hong Ogle is the president of Bank of America Houston. Rodrigo Ortiz Gomez is a market executive in Bank of America’s Transformative Technology Banking Group as well as the national software banking lead for the Global Commercial Bank.