Nadine Hietschold
University of Zurich, Zurich, Switzerland
New products fail at rates of approximately 40%, and a major reason for the flop of almost half of the new products is relatively simple: Consumers resist purchasing and using the innovation. In times of increasing availability of best-practice tools in management and marketing, new product failure rates are still surprisingly high. Although innovations usually possess an objective advantage over existing substitutes, companies still often fail to attract a large consumer group beyond some eager early adopters.
Why do so many innovations fail on the market despite the tremendous efforts of companies to understand their customers? The main reason is that most current market research methods focus on consumer needs but ignore the fact that consumers' personalities and the way they make purchase decisions substantially differ. The decision-making process of individuals is determined by their personality traits (i.e. psychological characteristics), such as the follower tendency (i.e. the tendency to conform to others instead of diverging from others). Such personality traits can have a negative effect on adoption and constrain innovation success. For example, if a company launches an innovative smartwatch that is targeted at young women and that looks very different from conventional round-shaped watches, it would likely encounter very slow adoption and low sales volume. The reason behind this consumer resistance is the personality characteristics of the target group. Younger individuals, and especially women, tend to conform to the mainstream in order to be part of the in-group. Therefore, younger women often refrain from trendsetting and buy products that have the same look and feel as those of their peers. Driven by various psychological constraints, consumers may prefer the status quo, overvalue their current possessions, or be overly concerned about the innovation's potential malfunction, physical risks, affordability, and social acceptance.
Transforming potential consumers into actual customers requires understanding psychological constraints and addressing them during product development and market launch. While marketers recognize that consumers generally have concerns and might hesitate to switch to the company's innovation, marketers often do not know what causes this resistant behavior and, therefore, how it can be addressed early in new product development (NPD).
Pepsi experienced the results from psychological constraints firsthand when it launched Crystal Pepsi in 1992. Crystal Pepsi was a clear cola, in stark contrast to brown cola expectations that differed slightly in flavor. Consumers did not accept these unfamiliar changes, and Crystal Pepsi was withdrawn from the market the following year (Jhang et al., 2012). Had Pepsi considered clarity-seeking dispositions (i.e. the tendency to perceive ambiguous situations as undesirable), a dominant psychological constraint of their target group, the company might have been able to prevent this failure.
Just as each person's DNA is unique, so are their psychological constraints. However, research has found that individuals with the similar demographic profiles (e.g. age, gender, education) often share similar patterns of psychological constraints. To prevent innovation failure, companies need to identify the patterns of psychological constraints in their target consumer groups and address them during NPD and launch. This is a challenging endeavor.
In the next section, psychological constraints are first introduced in greater detail. Then this chapter focuses on different clusters of psychological constraints (identity-related “how I am” constraints, cognitive “how I think” constraints, and emotional “how I feel” constraints) and provides advice on how companies can modify their standard NPD process to address these constraints adequately.
When describing another person, we tend to refer to characteristics such as whether the person is extroverted or introverted, patient or impatient, accurate or messy, cordial or grumpy. The characteristics we refer to are usually personality traits, defined as an inherent set of individual psychological characteristics (individual differences in patterns of thoughts, feelings, and actions) (McCrae and Costa, 1995) that are largely context-independent and are stable over a long period of time. Although personality can evolve – we may become calmer as we get older – such traits are hard to influence in the short term. Personality traits influence both the way we think about products (attitude) and the way we make decisions (behavior). For example, before purchasing an innovation, an insecure consumer will listen to friends and family and rely on their recommendations, whereas a confident consumer will likely make a decision without consulting others.
While psychological characteristics can have a positive influence on innovation adoption (e.g. impulsiveness and confidence), some characteristics are much more likely to prevent an individual from buying or using an innovation. We refer to these psychological characteristics as psychological constraints. Table 3.1 summarizes the three categories of psychological constraints: how I am, how I think, and how I feel.
Table 3.1: Psychological constraints to innovation adoption.
Clusters of constraint | Definition | Trait | Example |
How I am | Consumers' self-identity: How they position themselves in relation to others, how they perceive themselves, and what they believe | Follower tendency Prevention focus Attribute association |
Conforming: Consumers are less likely to adopt unique new products |
How I think | Consumers' thinking: How they acquire information from the environment, how they process information, and how they evaluate information | Pigeonhole thinking Clarity seeking Low self-efficacy |
Slightly open-minded: Consumers are more skeptical about new products |
How I feel | Consumers' emotions: To what extent they feel emotions and to what extent they rely on emotions in decision-making processes | Trait anxiety Emotional reliance |
Easily stressed: Consumers are more easily overstrained by complex new products |
Subsequent paragraphs detail the eight psychological traits within the three constraint clusters: (i) demonstrating why they constrain innovation adoption, (ii) giving examples from practice, (iii) showing which consumers are especially prone to these constraints, and finally (iv) explaining how firms should address these constraints.
Individuals have a certain perception of themselves – a self-identity that directs how they act and consume in accordance with how they want to be perceived by others. For example, buying organic or vegan food is an expression of a sustainable and health conscious self-identity, whereas driving a Porsche corresponds to a materialistic self-identity. This self-identity helps consumers differentiate themselves from undesired others, the out-group, but also to conform to the values and behaviors of the social group to which they belong, the in-group. The products individuals consume (e.g. clothes, food, and furniture) help them express their identity. Only when consumers see a match between their own identity and the company's or innovation's identity will they adopt the product.
However, focusing on self-identities alone is not enough for companies to get their products sold. Self-identities are subject to trends (e.g. veganism) and are context-dependent (e.g. being a manager at the office and a motorcyclist in your free time). However, personality characteristics that are responsible for the effects of self-identity are much more fixed. For example, having the personality of a follower instead of a trendsetter determines whether a consumer will jump on the bandwagon of food trends such as wellness food (follower) or whether they are the first to purchase a smartwatch (trendsetter). Table 3.2 and the following sections introduce three types of “How I am” constraints: follower tendency, prevention focus, and attribute association.
Table 3.2: Types of “How I am” constraints to innovation adoption.
Types of “How I am” constraints | Definition | Example of innovations affected by constraint | Typical consumers | Modification needed in NPD | Modification needed in marketing |
Follower tendency | Tendency to conform to others instead of diverging from others | Smartwatches that do not look like traditional watches | Female Younger |
Put no emphasis on uniqueness but on similarity to established substitute Enable community building through integration of social media and other sharing mechanisms |
Communicate innovation popularity Link the new product to the in-group and the competitors to the out-group Create critical mass through low introductory prices, 2-for-1 promotions, and “refer a friend” programs |
Prevention focus | Tendency to avoid negative outcomes instead of striving for positive outcomes | New cars that focus on speed instead of safety | Older | Focus on product usefulness instead of status aspects Focus on specific features instead of abstract emotional aspects Put emphasis on features that relate to safety and the efficient use of products |
Communicate performance and safety information Describe the product as established |
Attribute association | Tendency to relate two objectively independent product attributes | A new medicine that tastes good instead of bad as expected | Older | Develop in congruence with the “positive” attribute association dimension Develop products together with knowledgeable consumers in the product category |
Prime the prevalent attribute associations and address them Make the consumer consider the opposite to dissolve associations |
The general need to either conform to the in-group (follower) or diverge from the out-group (trendsetter) is a fixed personality characteristic that strongly affects purchase decisions. Trendsetters with a high need for differentiation focus on their own uniqueness. In particular, when trendsetters consider the large mass market the out-group, it leads them to more unconventional, innovative choices and the avoidance of commonly purchased brands and products. In contrast to these trendsetters, followers rely on their social environment and make purchases that reflect their need to conform to their environment. Followers define the mass market as their in-group and will not risk social acceptance by buying a very new and different product.
Underestimating the follower tendency is one reason why Google Glass failed. NPD professionals often underestimate the tendency of their target audience to conform to subjective social standards. Google Glass just differed too much from the norm. The follower tendency is especially present among female and among younger consumers.
When facing “How I am” constraints, managers, and marketers have to make sure that the innovation fits consumers' self-identity. Individuals with a follower tendency want to be part of the in-group, and they make conventional mass product choices. Therefore, companies addressing customers with a follower tendency should adhere to four rules.
All individuals seek to obtain gains and to avoid losses. However, individuals differ in their approach to these goals. Some strive for positive outcomes more and focus on their aspirations and accomplishments (promotion focus), whereas others seek to avoid negative outcomes by focusing on responsibilities and safety issues (prevention focus) (Wang and Lee 2006). For example, some people work out to become the fastest and fittest (i.e. promotion focus), whereas others work out to avoid gaining weight (i.e. prevention focus). Prevention-focused consumers are less likely to purchase the newest high-tech products because they have more salient performance concerns about new technologies. Research shows that older individuals are especially subject to a strong prevention focus. This might explain why e-cigarette use is higher among young consumers. E-cigarettes are a new technology, and the risks and benefits are uncertain. Additionally, advertisements by large companies are dominantly promotion-focused (e.g. “Take Back Your Freedom” from blu brand e-cigarettes), which mainly attract youths. Messages are more successful when they fit the consumer's goal orientation. For example, a promotion-focused message would address social approval (e.g. gaining acknowledgment through the use of innovative technologies), while a prevention-focused message would focus on the fact that continuing to smoke traditionally would result in social disapproval (e.g. losing friends).
Consumers with a prevention focus prefer the status quo; they are safety-oriented and frequently have performance concerns. Companies should consider these needs by following four rules:
Utilitarian products offer functional benefits and solve problems. In contrast, hedonic products are meant to create pleasure and entertainment. When facing prevention-focused consumers, companies should focus on developing utilitarian products.
Another personality trait determines if consumers recognize objectively independent product attributes as being independent or related. Examples where one product attribute influences the perception of another are found across a variety of product categories. Examples include: high price means high quality; a medicine's bad taste implies that it is effective; organic products have fewer calories; healthier food is less tasty. In general, attribute association is useful to consumers because consumers rarely have complete information. Attribute associations require low cognitive effort but are also rarely based on scientific truth. However, a consumer's personality determines the degree of belief in such attribute associations. In some cases, the associations can be so strong that people even rely on them when presented with objective, contrary information.
Consumers' attribute association can directly affect the success of new products. For example, a strong belief in the price-quality relationship or in bargain hunting as a low-status behavior prevents many consumers from buying at discounters such as Walmart. The webpage “People at Walmart” shows consumers with embarrassing clothes at Walmart and strengthens the negative image of the store. Lidl and Target are examples of European and US discounters that are aware of the negative influence of such beliefs. They offer a “Deluxe” line (Lidl) and a high-end meat line “Sutton & Dodge” (Target) to suggest the higher quality and status of their products. Strong beliefs regarding attribute associations are a challenge not only to innovative firms but also to general well-being. For example, the association of natural and traditional as being good and artificial as being bad can lead to the rejection of new vaccinations or to the reliance on natural healing when conventional medicine would be more effective. In general, researchers believe that attribute association develops in childhood. Therefore, adolescents are less likely to held traditional attribute associations than adults.
If well understood by companies, attribute associations can benefit new products. Companies can use the following four strategies.
Individuals differ in how they acquire information from their environment and how they make sense of it. For example, some people soak up all the information they can find, while others just want to know the basics; some are very rational when judging or making decisions, while others rely more intuitively on their gut feeling. The tendencies for a specific method of information acquisition and information assessment are anchored in personality. Some of these tendencies explicitly foster or impede innovation adoption. For example, some individuals are by nature less open-minded and thus also less willing and able to adjust to new situations and change. The next sections demonstrate how the personality characteristics of pigeonhole thinking, clarity seeking, and low self-efficacy constrain innovation adoption (See Table 3.3).
Table 3.3: Types of “How I think” constraints to innovation adoption.
Types of “How I think” constraints | Definition | Example of innovations affected by constraint | Typical consumers | Modulation in new product development | Modulation in marketing |
Pigeonhole thinking | Tendency to rely on heuristic cues instead of in-depth information processing | Financial innovations that require in-depth understanding | Male Lower education |
Create simple-to-use products with low complexity and easy-to-grasp instructions | Communicate easy-to-capture benefits Use counterintuitive advertisements and competitor comparisons |
Clarity seeking | Tendency to perceive ambiguous situations as undesirable | New food products with unnatural colors | Male Younger |
Fulfill product category expectations Avoid incongruent features of the innovation compared to the product category norms |
Provide a benefit rationale |
Low self-efficacy | Tendency to assess one's abilities to perform a behavior as low | Mobile banking apps that require computer literacy | Female Younger Lower education |
Stimulate user involvement and coproduction Conduct usability tests during testing and prototyping |
Use mental simulations of usage Persuade the consumers verbally of their skills |
A disposition to pigeonhole thinking instead of systematic information processing can constrain consumers in buying new products. Although our preferences differ, and we might enjoy acquiring information actively in one domain (e.g. searching for a bargain flight for our next holiday) but hate it in another (e.g. searching for tax law paragraphs in order to maximize a tax return), individuals differ by disposition in how thoroughly they search for and process information in general. Individuals who enjoy effortful cognitive activities seek out more information and process the information more systematically. They are more open and curious about new information and innovations. Others have a lower need for systematic thinking and rely on pigeonhole thinking. Pigeonhole thinkers use simple decision rules that make judgments faster and more efficiently as they involve less effortful in-depth thinking (e.g. buying the familiar brand instead of an unknown brand).
Financial products, for example, are often too complex for consumers and financial investment innovations often fail. The broker platform Ayondo Markets uses consumers' lack of systematic information processing in its favor. Ayondo Markets offers social trading where customers simply follow selected top traders, and the investment transactions are copied automatically to the customers' accounts. In addition, the consumer heuristic to buy known brands often comes into play when companies engage in rebranding. When a well-known company changes its name and logos, it risks losing brand awareness. For instance, this was the case when the US retailer Overstock.com attempted to rename its brand O.co. Consumers could hardly identify the brand, and Overstock.com returned to its old name only a few months later. Research shows that a low need for cognition is related to a lower educational level. In addition, men tend to be more likely to engage in pigeonhole thinking than women.
Consumers prone to pigeonhole thinking rely on simple shortcuts, and companies face the risk that these consumers do not thoroughly understand the innovation's benefits. However, individuals who form an attitude on the basis of pigeonhole thinking are easier to influence in favor of the innovation than individuals with a well-grounded attitude. Companies should follow three rules.
Clarity seeking (i.e. the tendency to perceive ambiguous situations as undesirable) hinders the purchase of innovations because innovations are always accompanied by ambiguity. Whereas pigeonhole thinking can impede innovation awareness, clarity seeking can hinder the development of positive attitudes to new products. Ambiguous situations are unfamiliar, complex, and sometimes contradictory. For example, a traditional mobile phone user who is confronted with a smartphone for the first time might experience the situation as highly ambiguous because he or she is not familiar with how it operates, and therefore it is unclear whether the phone fulfills the job it is supposed to. In this case, clarity-seeking customers would probably refrain from purchasing the innovation. When individuals have a high clarity-seeking tendency, they try to avoid everything that is unfamiliar, more complex, and contradictory, leading them to reject most innovations.
Research shows some initial evidence that men are more clarity seeking than women. Individuals want to solve ambiguity quickly, and, therefore, they rely on information that is quickly accessible without studying the innovation in detail. Hence, companies should not leave consumers with unresolved ambiguity. For example, in 2000, Heinz launched the EZ Squirt bottles, which included ketchup in different colors, such as purple, blue, or green. The ketchup bottles were a nice gimmick for children and were an initial success. However, in the long term, parents could not get comfortable with nonred ketchup and the product was withdrawn from the market in 2006.
The best strategy for firms in dealing with clarity-seeking customers is to reduce the novelty perception of the innovation.
Self-efficacy is the individual's assessment of his or her ability to perform a task. Consumers who have low self-efficacy have less confidence in their ability to use an innovation. If consumers think they do not have the ability to handle the change and learning processes associated with an innovation, they will continue using the alternative they can already operate or choose an alternative that seems less difficult. Although empirical evidence is not always clear, men seem to have higher self-efficacy than women. In addition, self-efficacy usually increases with age (up to a certain point) and is higher for people with a higher education. Hence, female consumers as well as very young or very old consumers generally have lower self-efficacy and should be considered in particular when designing and marketing complex products.
Low user self-efficacy was the reason Microsoft launched the operating system Microsoft Bob in 1995. Microsoft Bob was designed to have an easier interface than the Windows 95 operating system. Instead of a desktop, the user navigates in a room where known objects correspond to programs (e.g. a wall calendar to a calendar program and pen and paper to a word processor program). However, Microsoft Bob was not more intuitive for users but rather confusing. For example, the virtual room also contained several decorative items that lacked function. Although the idea of physical analogies was great, the actual realization to address consumers low in self-efficacy failed.
Low self-efficacy discourages consumers from purchasing and using innovations. Companies can address low self-efficacy in four ways.
Emotions (“How I feel”) can guide our behavior and decisions more strongly than can our thinking. For example, individuals consume chocolate when feeling sad, although they know that this behavior is unhealthy. Emotions often emerge as temporary mood stages, but some individuals feel certain emotions more often and more strongly than others. Being emotional can prevent potential customers from adopting an innovation. For example, consumers who feel easily stressed are less likely to handle technically demanding products and therefore are also less likely to buy and use them. In terms of emotions, two personality characteristics constitute especially relevant constraints to innovation adoption: trait anxiety and emotional reliance (see Table 3.4).
Table 3.4: Types of “How I feel” constraints to innovation adoption.
Types of “How I feel” constraints | Definition | Example of innovations affected by constraint | Typical consumers | Modulation in new product development | Modulation in marketing |
Trait anxiety | Tendency to be anxious and favor threat-related information | Nanotechnology products associated with unknown risks | Female Younger |
Identify sources of fear and threat during testing and prototyping Include stress relievers in new product design |
Use fear appeals (e.g. threat of not using the innovation) Communicate the calmness, simplicity, and security of the innovation with facts |
Emotional reliance | Tendency to rely on emotions instead of information | New medical drugs that are associated with disgust | Female Older |
Address positive emotions in product design Elicit positive emotions during the usage experience |
Prime positive affect with ads Communicate with negative emotions such as shame and guilt |
Individuals with high trait anxiety are more prone to anxiety and are more likely to focus their attention on threat-related information but also on sources of safety that help them cope with the threat. For example, in the context of car purchases, individuals with high trait anxiety focus on the availability of airbags or other safety features, in contrast to driving pleasure or design. Trait anxiety impedes the adoption of innovations, as individuals mainly focus on the risks instead of the benefits. Additionally, usage of the innovation is a potential source of stress for consumers with trait anxiety, which they try to avoid. For example, research shows that consumers with high trait anxiety are less satisfied with self-service technologies and less prone to repeated usage (Meuter et al., 2003).
The more radical the innovation, the more trait anxiety blocks adoption. For example, research shows that consumers fear the risks of gene technology and exhibit much higher levels of concern about genetically modified food than regular food (Laros and Steenkamp, 2004). To stop the diffusion of genetically modified food, consumers founded the “March against Monsanto,” repeating protests across cities all over the world. As consumers' trait anxiety can affect firms very negatively, it is valuable to know which consumers are likely to have this constraint. Women generally score higher on trait anxiety than men. In addition, aging tends to increase emotional stability; therefore, trait anxiety will decrease with age. Hence, product categories that are targeted at young and middle-aged women in particular (e.g. health and food) could be at risk of being constrained by consumers' trait anxiety.
Consumers with high trait anxiety experience stress intensively and focus on threats as well as safety issues. Companies can use the next four strategies to better address consumers with trait anxiety.
To identify stress triggers, companies can invite consumers with high trait anxiety to test the innovation and monitor which features or usage actions lead to stress (e.g. with the think-aloud method).
For example, the design consultancy company mPath developed a tool that combines electronic sensors to measure skin conductance and observations to identify stress triggers. LEGO used this tool during innovation development. LEGO developed a tablet app for LEGO Technic that included animated instructions about how the LEGO pieces should fit together. With the stress-detecting tool, mPath identified that adding animation to the virtual page overwhelmed the children. Stress was also triggered when children realized that they had made a mistake and had to go back to the instructions. Including checkpoints during the building process would ensure that a step was completed correctly before moving on to the next one.
For example, in South Africa, a seat belt ad was launched to enhance compliance with using seat belts. The emotional campaign named “First Kiss” describes the romance of a young couple who met at a party but who never experienced their first kiss because they died in a car accident on the way home from the party. Six weeks after the launch of the ad, seat belt compliance increased by 11%.
People with high trait anxiety are less likely to rely on their emotions when instructed to make determinations on the basis of facts. Hence, ads that recommend that consumers rely on safety statistics can reduce the influence of anxiety on the decision.
Emotions are part of our everyday lives, but some of us rely more heavily on emotions than others when making decisions and tend to experience emotions with a higher intensity. Using emotional cues, such as sounds or colors, is sometimes easier and faster and can be more efficient than in-depth thinking. However, emotional reliance stands in the way of openly considering other sources of information about new products and services. Emotional reliance is thus a type of decision heuristic because individuals use cues to judge an innovation. However, in contrast to pigeonhole thinking, individuals high in emotional reliance can process information systematically but in the end weight emotional aspects more. Emotions influence consumer judgment and decision making more strongly than other aspects, such as factual information. In general, older people use heuristics more often and focus more on emotional information than younger people. In addition, women have been reported to be more emotional than men.
In general, if consumers have a negative feeling about an innovation, they judge risks as high and benefits low. For example, during the mad cow disease crisis, consumers generally avoided products containing beef, although the likelihood of falling ill was very low for humans. How consumers actually evaluated beef products depended very much on the specific terminology used in the news media. In one study, participants exposed to the phrase “mad cow diseases” relied on emotions in their subsequent decision to consume meat. When the phrases “bovine spongiform encephalitis” or “Creutzfeld-Jacob disease” were used, participants relied instead on objective risk judgments in subsequent purchase behavior (Sinaceur et al., 2005). Emotional reliance was also at work during the product recall of the new Samsung smartphone Galaxy Note 7 in 2016. The probability of an overheated battery catching fire was very low, but since consumers overestimated the risks, Samsung had to recall the entire product line.
Individuals high in emotional reliance assign a higher importance to information that is in line with their emotions. Companies can use the following strategies to stimulate desirable emotions toward the new product.
For example, harmony and balance in design objects are perceived as pleasant. Moreover, communicating the right product category can also influence emotions toward an innovation. Smartwatches, for example, when considered as part of the product category of technical devices, might induce negative emotions among consumers such as anxiety related to technology. However, when understood as part of the category of watches, they might induce passion in consumers who are fond of watches.
Those emotions depend on consumers' previous expectations, usage difficulty, and perceived benefits of usage. The usage experience starts after the purchase with unpacking the new product. “Unboxing” as a joyful event has even become a trend with people recording videos of unpacking new products and uploading the videos on YouTube. Apple, for example, tests potential package designs over and over to optimize the positive experience. The thoughtful packaging design is simple, the components are accurately arranged, and opening is easy.
For example, Coca-Cola directly primes positive emotions with slogans such as “Open happiness” or “Taste the feeling,” which are supported with happy music. Audi uses its logo of four overlapping circles cleverly to promote that “Jooooy finally has meaning.”
For example, the company Juicy Juice shows a picture of a bike-riding child and says “You check his helmet. You check his training wheels. Shouldn't you check the label on his juice?” Another controversially discussed ad is the “Are you beach body ready?” ad by Protein World, which shows a woman with a perfect body. The ad tries to stimulate guilt and shame for not have lost enough weight before the summer comes. Although body-shaming campaigners protested against the ad, the emotion elicitation was successful as the ad increased sales enormously.
How can a company determine if a specific target group is prone to psychological constraints? Companies can uncover the psychological constraints of consumers by either a rough or an in-detail target market study. In contrast to current market research methods that focus on the needs of consumers and the desired features of innovations, these approaches focus on consumers' individual characteristics.
Companies often address consumers who will benefit the most from the innovation as their target audience. Considering the smartphone market, BlackBerry used to target business customers, Apple targets young and hip consumers, and Fairphone aims for consumers with high ethical consciousness. The particularities of the most attractive consumer group are identified by market research. Target groups are usually studied according to sociodemographic variables, such as age, gender, income, and place of residence, or according to psychographic variables, such as attitude, values, and lifestyle. Traditional market research efforts do not always result in success. For example, psychographic segmentation according to the greenness of consumers (i.e. how environmentally conscious they are) has resulted in product failure for many companies. For instance, the cleaning products producer Clorox launched the “Green Works” product line for its environmentally conscious consumers. However, the new products simply did not fit the identity of the consumers, because environmentally conscious customers were not willing to buy products of brands with superficial green efforts. Uncovering psychological constraints adds an important puzzle piece in understanding the relevant target group as well as designing and communicating innovations. Uncovering psychological constraints may require a more in-detail study of their target consumer group.
Companies can measure psychological constraints through a detailed survey of a representative sample of the target consumer group. An example of questions that reliably measure psychological constraints can be found in Table 3.5. Consumers read the questions and indicate on a nine-point scale ranging from 1 (strongly disagree) to 9 (strongly agree) how prone they are to the constraints. Companies then form an average value for each psychological constraint across all consumers to get an impression of how prevalent the constraint is among their target consumer group. Companies should become alert if the mean of a psychological constraint exceeds a value of 5, which indicates that most consumers in their target have an inclination to this constraint (i.e. absolute average method). Companies should also calculate the average value across all constraints – in other words, the overarching mean of all the means of the psychological constraints – and then detect which psychological constraints exceed this overarching average value (i.e. relative average method).
Table 3.5: Survey instrument for the in-detail market study.
Psychological constraint | Examples of measurement questions |
“How I am” constraints | |
Follower tendency |
|
Prevention focus |
|
Attribute association |
|
“How I think” constraints | |
Pigeonhole thinking |
|
Clarity seeking |
|
Low self-efficacy |
|
“How I feel” constraints | |
Trait anxiety |
|
Emotional reliance |
|
References for each scale are available from the author upon request.
If companies discover only one or two constraints above average, they can simply stick to the modifications suggested in the previous sections. However, if they discover multiple psychological constraints, companies need to determine if the modulation approaches suggest contradictory actions. If so, companies might have to decide to address only one of the contradictory constraints. For example, a target group with a prevention focus would require the company to focus on concrete information in marketing and utilitarian features in NPD. If the same target group also scores high on emotional reliance, the company would prefer a focus on hedonic and positive emotional appeals. In such a situation, the company should pragmatically look at the number of consumers that score high on each of the psychological constraints and address the constraint that is more prevalent in the target group.
DR. NADINE HIETSCHOLD is a postdoctoral researcher at University of Zurich, Switzerland, where she currently works in an externally funded research project on social innovators. She graduated from Technische Universität Dresden, Germany, in 2017 with her dissertation work on the subject of consumer resistance toward innovations. In her research, she is dedicated to the microfoundations of innovations. Specifically, she studies individuals' (negative) perceptions, emotions, and behaviors toward innovations as well as antecedents of individuals' (social) innovative behavior. She has published in peer-reviewed academic journals such as R&D Management, the International Journal of Production Research, and Health Services Management Research.
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