Connect with us

BizNews

When consumers feel intimidated by too many features in a product, highlight their user-friendliness

People were more likely to buy a product if they thought it would be both capable and usable.

Published

on

Wifi-enabled washing machines. Voice-controlled microwaves. App-enabled TVs, vacuum cleaners, and even window blinds you can control from the comfort of your couch.

Many of the technological features now included in everyday products are useful and accessible. But research has shown that having too many can overwhelm potential buyers, making them less likely to make a purchase.

In new research, Wayne Hoyer, marketing professor and James L. Bayless/William S. Farrish Fund Chair for Free Enterprise at Texas McCombs, digs into the phenomenon of “feature creep” and its impact on consumer sentiment. His findings might help companies strike the right balance as they design new products — or more effectively market ones that are feature-rich.

“Traditionally, marketers and researchers addressing the topic of product complexity have only looked at the number of features,” Hoyer says. He and co-researchers Andreas Fürst and Nina Pecornik, both of the Universität of Erlangen-Nürnberg in Germany, examined not only the number of features but also the relationships among them.

The team looked at two very different dimensions of complexity in a consumer tech product.

  • Heterogeneity: how similar or dissimilar the features are. A highly heterogeneous product would be a smart home system that controls dissimilar features, such as floor heating, the refrigerator and television.
  • Interrelatedness: how functionally connected they are, as with a smart home system that automatically closes the blinds and fires up the audio system when the television gets turned on.

How do each of these dimensions affect consumers’ expectations about how capably a product will perform and how easy it will be to use — and thus, how likely they will be to buy it?

To find out, the researchers asked a total of 1,300 people in four experiments to evaluate and rank two different types of products — smart home systems and smartphones — under various scenarios. They ranked each product on a scale from 1 to 7, with 1 representing the lowest or least favorable response. They also ranked their purchase intentions.

Unsurprisingly, the team found that the participants were more likely to buy a product if they thought it would be both capable and usable. But several factors influenced those judgments:

More useful but less user-friendly. The more features a product had, the more consumers expected it to be capable — but the less they expected it to be easy to use.

More complex, less usable. The less similar and the more interrelated the features were, the harder consumers thought a product would be to operate.

For example, participants in the smart home group ranked rated usability at 3.56 when a system had a lot of features that were not very alike. That ranking improved to 4.13 when the features were very similar. The effect was true for smartphones, as well.

Related features, better performance. When features were highly interrelated, consumers expected a product to be more capable. High levels of heterogeneity, on the other hand, had the opposite effect.

The reason, a separate experiment found, is that they don’t trust that products with highly dissimilar features will perform as promised.

“The number of product features is still very important,” Hoyer says. “Marketers just also need to consider heterogeneity and interrelatedness. Our research clearly shows that these two dimensions are very important in determining product complexity and how that affects the consumer.”

The big takeaway for companies and marketers, he says, is that they can boost sales by emphasizing that a product’s features are interrelated, thereby promoting expectations that it will work well. They should deemphasize dissimilar features, so that consumers don’t think the product will be hard to operate.

As for product developers, they should temper the desire to add as many new features as possible by ensuring that those features have plenty of functional connectivity that adds value for the consumer. Says Hoyer, “It’s not really that tricky.”

How Product Complexity Affects Consumer Adoption of New Products: The Role of Feature Heterogeneity and Interrelatedness” is published in the Journal of the Academy of Marketing Science.

BizNews

Profit alone is a poor measure of success, study shows companies can look efficient while harming the planet

Firms that appear highly efficient at generating revenue can perform far worse when their environmental footprint are included in the calculation.  

Published

on

Companies celebrated for strong financial performance may actually be inefficient once their environmental impact is taken into account, according to new research from the University of Surrey. 

The study, published in the European Journal of Operational Research, shows that firms that appear highly efficient at generating revenue can perform far worse when their environmental footprint are included in the calculation.  

To tackle this problem, researchers developed a new way to measure “sustainable corporate efficiency”, combining traditional financial metrics with environmental data such as energy consumption, carbon emissions and revenues generated from environmentally friendly products and services.  

Dr Menelaos Tasiou, co-author of the study and Senior Lecturer in Finance at the University of Surrey, said: “Businesses have long been judged on how efficiently they turn resources into profit. But if those profits come with large environmental costs, the picture changes completely. What we show is that true efficiency means generating revenue while also reducing the environmental damage caused by production. In other words, profitability alone can mask how wasteful a business really is when environmental costs are considered.  

The research analysed more than 2,800 publicly listed companies across 61 countries between 2010 and 2022, creating one of the largest global datasets measuring how sustainable companies are, when both financial performance and environmental impact are assessed together.  

The team combined company financial records, in alignment with the green economy (defined as a low carbon, resource efficient and socially inclusive economy), with environmental disclosures such as energy use and greenhouse gas emissions. They then applied a machine learning technique known as Convexified Efficiency Analysis Trees (CEAT) to estimate how efficiently companies convert resources into revenue while minimising pollution.  

Unlike older approaches, the method models the reality that production creates both desirable outputs, such as revenue, and undesirable ones, such as emissions. This allows companies to be compared on how well they balance profit with environmental performance.  

The results found a moderate link between financial efficiency and environmental efficiency, meaning many firms that are strong financially are not necessarily good at managing their environmental impact.  

The study also found large differences across industries and countries. Firms operating in sectors with high emissions, such as manufacturing and energy, often lagged behind leaders that were better at reducing carbon intensity while maintaining revenue.  

Dr Tasiou continued: “Measuring efficiency in this broader way can help investors, regulators and policymakers identify companies that are genuinely prepared for a low carbon economy. Stronger management capability plays a key role. Firms with more capable management teams were more likely to balance profitability with environmental responsibility, suggesting that leadership decisions can strongly influence sustainable performance.  

“As governments push towards net zero and investors scrutinise environmental performance more closely, companies that fail to integrate sustainability into their operations risk falling behind.” 

Continue Reading

BizNews

Reminder to marketing people: Missing information can misinform

You don’t need bad actors for people to get the wrong idea. Incomplete information can be enough.

Published

on

To get people to pay attention, you have to make it engaging. But what makes content engaging often comes at the cost of detail – shaping what people learn and what they think they’ve learned. The result: People can come away with the wrong idea, even when what they read isn’t factually wrong.

That tension sits at the core of research from Marta Serra-Garcia, a behavioral economist at the University of California San Diego’s Rady School of Management. The study, published in the American Economic Review, examines how incentives in the online attention economy shape the way scientific information is communicated – and what readers ultimately take away from it.

A trade-off in the attention economy

You don’t need bad actors for people to get the wrong idea. Incomplete information can be enough.

Crucially, the research finds that attention-grabbing summaries are not more likely to be factually inaccurate. Instead, they tend to include less information – especially key details about how studies were conducted.

“This is not a simple story that clickbait is bad,” said Serra-Garcia, associate professor of economics and strategy and Phyllis and Daniel Epstein Chancellor’s Endowed Faculty Fellow at UC San Diego’s Rady School. “You need to get people’s attention in order for them to learn something, and it’s good to encourage curiosity. Yet there’s a trade-off: Material designed to engage can also unintentionally contribute to the kinds of misunderstandings that can fuel misinformation.”

The finding comes from a large, multi-stage experimental study in which freelance writers produced nearly 600 summaries of actual scientific research, and more than 3,700 participants were then tested on what they learned from them.

Why “in mice” matters

In one study used in the experiment, a compound in broccoli reduced cancer cell growth – in mice. Leave out those last two words, and the finding can sound far more directly relevant to human health than it actually is.

“Why can’t we say ‘in mice’?” Serra-Garcia said. “It’s not very hard to add. It’s two words. But once you say ‘in mice,’ maybe fewer people will click.”

Study results were consistent. Summaries written to attract attention were shorter, easier to read and more engaging – but included less detailed information, especially about sample sizes and methods.

Given the option to seek out more information, most readers did not. That mirrors real-world behavior: Studies of social media use suggest most content is shared without users ever clicking through to read more.

Among those who relied on summaries alone in Serra-Garcia’s study, knowledge dropped by about 6-7 percentage points. Readers were also more likely to draw incorrect conclusions – such as assuming findings applied to humans or reflected firm medical guidance.

Inside the experiments

To isolate these effects, Serra-Garcia conducted a multi-stage experimental study. In the first stage, 149 freelance writers produced nearly 600 summaries of the same set of studies – covering topics such as cancer, sleep, vaccines and climate – under different instructions: to inform readers accurately, or to attract attention by encouraging clicks or shares. 

In the second stage, more than 3,700 participants read those summaries under different conditions, including whether they could click through for more information.

The results held across experiments: Attention-driven summaries increased engagement and prompted some readers to learn more – but left many others with less complete understanding.

AI and the attention economy

The same pattern emerged when a human wasn’t doing the writing. In additional tests, when a large language model was prompted to attract attention, it also produced less detailed summaries – suggesting the effect is driven less by who creates the content than by the objective it’s optimized for.

For Serra-Garcia, the findings point to an ongoing challenge for researchers, journalists and institutions alike.

“How do you make science engaging and important to readers,” she said, “without missing the essentials that convey the full picture?” 

The research was funded in part by National Science Foundation grant no. 2343858. 

Read the full study: “The Attention – Information Trade-off.” 

Continue Reading

BizNews

If you’re a perfectionist at work, your boss’ expectations may matter more than your own, research finds

Help your employees by clarifying expectations through regular feedback and performance conversations to reduce role ambiguity, as doing so can provide employees with a better understanding of role expectations and enhance mutual understanding of those standards.

Published

on

If you’re among the 93% of people who struggle with perfectionism at work, new research suggests that your experience may depend less on your own high standards and more on whether those standards meet your supervisor’s expectations. 

Researchers from the University of Florida Warrington College of Business found that whether perfectionism helps or harms employees depends largely on whether employees’ personal standards align with their supervisors’ expectations. 

Specifically, they looked at the connection between employees’ self-oriented perfectionism, or the expectations of flawlessness they set for themselves, and supervisors’ other-oriented perfectionism, which reflects the extent to which they set excessively high standards for and critically evaluate their employees’ performance. 

Using data from more than 350 employees and about 100 supervisors, the researchers found that perfectionism’s impact depends on whether employees’ standards align with what their supervisors expect and how clearly those expectations are understood. 

When employees’ personal standards are aligned with their supervisors’ expectations, they tend to experience less role ambiguity, meaning they have less uncertainty about the expectations and standards for their role, why those standards matter and the consequences of not meeting them. This clarity in their work is linked to better performance, lower burnout and higher job satisfaction. 

“Problems between employees and their supervisors are more likely to arise when these expectations don’t match,” explained Brian Swider, Beth Ayers McCague Family Professor.

The most difficult situation occurs, Swider and his colleagues found, is when supervisors expect higher levels of perfectionism than employees expect from themselves. In these cases, employees reported greater uncertainty about their roles, along with worse work outcomes including higher burnout and lower job satisfaction.

“If you’re an employee who struggles with perfectionism at work, our findings suggest that understanding your supervisor’s expectations may be just as important as managing your own tendencies towards perfectionism,” Swider said. “Talking to your supervisor about priorities, standards and how your performance will be evaluated can help reduce uncertainty and ensure you both share a clear understanding of what success looks like.”

The researchers have similar recommendations for employers: help your employees by clarifying expectations through regular feedback and performance conversations to reduce role ambiguity, as doing so can provide employees with a better understanding of role expectations and enhance mutual understanding of those standards.

The researchers also recommend that organizations should consider how employees and supervisors are paired, as mismatched expectations can increase stress, reduce job satisfaction and ultimately impact performance. 

The research, “The influence of employee-supervisor perfectionism (in)congruence on employees: a configurational approach,” is published in Organizational Behavior and Human Decision Processes

Continue Reading
Advertisement
Advertisement

Like us on Facebook

Trending