- 1Department of Marketing and E-Commerce, Nanjing University, Nanjing, China
- 2Department of Human Resource Management and Organizational Behavior, University of International Business and Economics, Beijing, China
- 3Department of Organization and Human Resources Management, Central University of Finance and Economics, Beijing, China
Attachment styles, originated from early childhood experience, have been documented to influence human behaviors among adults. Drawing on life history theory, we examined whether or not, and how, attachment styles impact risk-taking behaviors beyond evolutionary valid domains, and explored the moderation role of parental status. In the consumer behavior context, three correlational studies provide convergent evidence that insecurely attached (vs. securely attached) consumers are more risk-taking in consumption situations like dining in a toilet-themed restaurant or buying genetically modified products. Specifically, insecurely attached consumers were more likely to take risks in two experiential purchase scenarios (Study 1) and this effect was not domain-specific (Study 2). In Study 3, we showed that safety perception mediated the relationship between attachment insecurity and risk-taking, which was manifested by purchase intentions toward genetically modified products. Specifically, insecurely attached individuals perceived genetically modified products to be safer and were more willing to make a purchase. Additionally, parental status moderates the relationship (Studies 2 and 3). We conclude with a discussion on the implications of attachment theory on consumer risk-taking behaviors from a life history perspective.
Introduction
Drawing on the central assertion that the ways adults perceive and treat their partners and relationships are shaped by their early experiences with their caregivers, attachment theory has greatly enriched our understanding of consumers’ relational consumptions (Simpson et al., 2012), including how people react to advertising strategies depicting interpersonal relationships (David and Bearden, 2017), how they respond to pricing strategies customized for them (David et al., 2017), and how they are influenced by brand personality and brand relationship (Ahluwalia et al., 2009; Thomson et al., 2012).
Nonetheless, many of these studies focus on proximate reasons for consumer behavior, whereas the more ultimate reasons are left unresolved (Simpson and Gangestad, 2001; Simpson et al., 2012). To address this issue, there has been a recent surge of understanding consumer behavior from an evolutionary perspective (e.g., Buss and Schmitt, 1993; Gangestad and Simpson, 2000; Kenrick et al., 2010). Through the same lens, the current study extends consumption implication of attachment theory beyond the relational domain by arguing that adult attachment styles, together with parental status, could influence how people make risky consumption decisions. To this aim, we draw on the life history model of attachment and risk-sensitivity theory within the evolutionary frameworks.
Attachment Styles and Life History Strategies
Within the framework of life history theory, the life history model of attachment was developed to account for how early childhood environment links to attachment patterns, and reproductive strategies (Draper and Harpending, 1982; Belsky et al., 1991; Chisholm, 1993; Del Giudice, 2009; Chen and Chang, 2012; Chen, 2017; Szepsenwol and Simpson, 2019). Specifically, children who experience supportive and warm parenting and a favorable family environment establish a secure attachment style, and their reproductive strategy in adulthood is characterized by late maturation, long-term mating orientation, and high parental investment (i.e., slow life history strategies). Alternatively, children who constantly experience unfavorable family conditions with inconsistent or irresponsive parenting in their early environment develop an insecure attachment style, and their reproductive strategy in adulthood is characterized by early maturation, short-term mating orientation, and low parental investment (i.e., fast life history strategies). These reproductive strategies are shaped by individuals’ childhood environmental conditions, through the mediation of attachment, and serve to maximize reproductive success (Chisholm, 1993).
Indeed, insecurely attached adolescents have been shown to undertake sexually risky behaviors and drive recklessly (Bogaert and Sadava, 2002; Taubman-Ben-Ari and Mikulincer, 2007). Attachment insecurity is associated with lower condom use, more sexually transmitted diseases (Bogaert and Sadava, 2002), a higher rate of unprotected sex among the HIV-positive (Ciesla et al., 2004), and a higher rate of unplanned pregnancy (Cooper et al., 1998; Feeney et al., 2000).
Risk Taking as a Fast Life History Strategy
Although these risky behaviors bear high cost including physical injuries, diseases and shortened life expectancy, they could be adaptive responses in the sense of increasing the chance of mating success (Mishra and Lalumière, 2008). In other words, these risky behaviors bear important evolutionary value. According to life history theory, individuals develop different life history strategies based on harshness, and stochastic variation in salient environmental conditions (Ellis et al., 2009). Individuals being reared in environments that vary unpredictably, such as inconsistent responses from the parents, are not able to forecast future maturation reliably from their current situation (Belsky et al., 2012). In other words, they are unable to gain a clear understanding of cause-effect relationships and find it difficult to think of potential negative consequences for their behaviors (Ross and Hill, 2002). Therefore, it is not wise for them to invest in a long-term sense or develop slow life history strategies (Belsky et al., 2012). Instead, they adopt fast life history strategies by putting less weight on the delayed benefits of risk-aversion than on the immediate benefits of risk-taking. This has been manifested by the robust association of present orientation, impulsivity, and a short subjective life expectancy with increased risk taking at the individual level (e.g., Hill et al., 1997; Kahn et al., 2002; Brezina et al., 2009; Wang et al., 2009; Dunkel and Decker, 2010; Chen and Vazsonyi, 2011).
The coexistence of behavioral types, the consistency of behavior through time, and the structure of behavioral correlations across contexts enable us to develop consistent behavioral patterns that can be considered stable individual differences concerning risk taking (Wolf et al., 2007). Therefore, we suggest that individuals will generalize their life history strategies beyond evolutionarily valid domains of risk (e.g., mating). Hence, we predict that,
H1: Relative to securely attached individuals, insecurely attached individuals are more risk-taking.
Modulation of Parental Status
One important assumption of life history theory is that individuals make different trade-offs at different stages of life (e.g., Chang, 2018; Chang and Lu, 2018). In the domain of risk-taking, this suggests that they make risky choices at different times in life. Some decisions involve more risk than others because they involve greater variance in potential outcomes (Friedman and Savage, 1948; Weber et al., 2004). Therefore, choosing a flipping coin to get either 20 dollars or nothing, is deemed riskier than choosing a sure gain of 10 dollars. In the current study, we examined the effect of a life-history variable, namely parental status (Wang et al., 2009), on risk taking propensity. Parenting is one of the most prominent needs throughout one’s life span (Kenrick et al., 2010), and investing in parenting (i.e., caring for existing offspring) often means fewer resources can be devoted to mating (i.e., creating new offspring). Therefore, parental status has been used in previous research as an index of resource requirements (Wang et al., 2009).
Will being a parent make a consumer more risk-taking? To answer this question, we draw on the risk-sensitivity theory. The risk-sensitivity theory posits that individuals make risk-sensitive decisions contingent on needs—they are more likely to take risks if they are unlikely to meet their needs through safer, low-risk means (for reviews, see Kacelnik and Bateson, 1996, 1997; Mishra and Fiddick, 2012; Mishra et al., 2017). In situations of need, where there is disparity between individuals’ actual state and desired state of resources, people shift from risk-aversion to risk-seeking, because risky choices offer a chance, although slim, of meeting the needs. This prediction has been experimentally demonstrated by studies showing that young adults shifted from risk-aversion to risk-proneness in situations of high need (Mishra and Lalumière, 2010) and in the face of cues suggesting relative competitive disadvantage (Mishra et al., 2014). Given parenting means an increased desired state of need, such as extra knowledge, skills, and social support to cope with parenting demands, being a parent could induce a state of high need and, hence, result in more risk-taking behaviors. A recent large-scale empirical study using multi-national data from the World Value Survey showed that being a parent did actually make a person more risk-taking (Canale et al., 2018).
Based on the above reasoning, we further argue that a high need situation triggered by one’s parental status should be perceived differently from the perspectives of securely and insecurely attached individuals. This is because compared with securely attached individuals, insecure attached individuals expect themselves to be more easily annoyed by children, be stricter or harsher, be less warm toward children, and be generally less confident of their ability to relate to children (Rholes et al., 1997). This lack of initial commitment to one’s parental role and more negative working models might guide their behavioral and affective responses during child rearing. Their inability to perceive and seek social support might further exacerbate their frustration (Florian et al., 1995; Anders and Tucker, 2000). Indeed, compared with securely attached parents, insecurely attached parents enact or experience more negative parenting behaviors, emotions, cognitions (for a review, see Szepsenwol and Simpson, 2019), and higher levels of parenting stress (Abidin, 1992; Deater-Deckard, 2004; Rholes et al., 2006; Nygren et al., 2012). Therefore, insecurely attached parents could perceive their parenting role as more resource-demanding, which might trigger a more significant shift from risk-aversion to risk-proneness. Hence, we predict that,
H2: Relative to securely attached individuals, the effect of parental status on risk taking is more significant for insecurely attached individuals.
The Mediating Role of Safety Perception
Individuals adopting different life history strategies tend to perceive the same risky situation differently. individuals with slow life history strategies tend to be more sensitive to potential physical danger, contamination by pathogens and social exclusion (Nesse, 2004; Nesse and Jackson, 2006). In contrast, individuals with fast life history strategies tend to lower their sensitivity to threats, dangers, and social feedback, given that these signals of threat can be an asset, rather than a weakness (Korte et al., 2005; Del Giudice et al., 2011; Del Giudice, 2014). Therefore, it is reasonable to infer that individuals adopting fast life strategies should perceive the same risky situation as safer than those adopting slow life strategies. Research concerning individuals’ belief about future unpredictability lend primary support to these propositions. Individuals with insecure attachment tend to believe that the world is chaotic and untrustworthy due to their early experiences with caregivers (Ross and Hill, 2002). Accordingly, they focus on current gains over future losses, so that they discount the future and cannot stand delayed gratification (Hill et al., 2008). Stemming from this reasoning, we suggest that their perception of safety is distorted and exaggerated because when evaluating the safety of a decision, they overemphasize the pros of a choice and neglect the cons, which leads to reckless decisions. In this sense, safety perception of insecurely attached individuals is less conservative than securely attached individuals.
From a decision-making perspective, consumer risk taking is the process of choosing from consumption choices that involve different probabilities of potential loss (Dowling and Staelin, 1994), which makes it highly relevant to new product consumption, such as novel experience, and genetically modified (GM) product (Mitchell, 1999). Consumers will perceive a choice to be risky if they expect that an option involves more costs than benefits (Taylor, 1974). Otherwise, they will perceive the choice to be a safe one. The contention that people take more risks when they feel safe is supported by risk compensation theory (Adams and Hillman, 2001) and empirical findings (Weber and Hsee, 1998; Levav and Argo, 2010; Gamble and Walker, 2016). For example, one study showed that when an experimenter patted the participants on their shoulders, they showed increased feelings of safety, and willingness to undertake financial risk (Levav and Argo, 2010). Additionally, participants who wore a baseball cap, introduced as an eye tracker head mount, showed greater willingness to undertake financial risk, presumably because the cap served as a helmet, conveying a feeling of security (Gamble and Walker, 2016). Therefore, we expect safety perception to play a mediating role, leading to a third hypothesis:
H3: Relative to securely attached individuals, insecurely attached individuals perceive higher safety levels and are hence more risk-taking.
Overview
In the present study, we sought to examine whether insecurely attached individuals take more risks because they feel it is safer, and whether being a parent could amplify this tendency. We argue that life history strategies pertaining to risk-taking could generalize beyond evolutionarily valid domains of risk, in the current case, consumer risk-taking. We tested the effects of attachment styles (i.e., insecure, secure) on risk taking in three correlational studies. In Study 1, we explored the relationship between attachment style and risk taking as indicated by their intention to purchase two new experiential products. In Study 2, we linked attachment styles to domain-specific risk-taking propensities. In Study 3, we used purchase intention of GM products as another manifestation of risk-taking.
This study extends previous research in several ways. First, we are among the first to examine the effect of adult attachment on consumer risk-taking within the life history framework. Second, we use measures of risk taking – purchase intention of experiential products, genetically modified products – that are ecologically valid in the consumer behavior field. Third, we demonstrate the mediating role of safety perception by showing that insecurely attached individuals perceive a risky option to be safer and hence take more risks than securely attached individuals. Finally, we show that, compared with securely attached individuals, being a parent will magnify risk-proneness of insecurely attached individuals to a greater extent.
Study 1: Risk-Taking in New Experiential Product Consumption
Experiential purchases are made with the primary objective of enjoying the experience or making a memory (e.g., movies, concerts, festivals, tours and travel; Van Boven and Gilovich, 2003; Carter and Gilovich, 2012). They may have a greater downside risk in terms of purchase dissatisfaction (Diehl et al., 2016). Therefore, we render it an adequate manifestation of consumer risk-taking.
Methods
Participants
We paid a participation fee to 103 adult participants from Amazon Mechanical Turk (Mturk; Mage = 33.27, SDage = 11.86; 54 men). Before the study, all participants signed an informed consent form.
Measures and Procedure
Participants completed a computerized online questionnaire regarding their reactions to two risk-taking scenarios, their dispositional attachment orientations (Brennan et al., 1998), and their basic age and gender demographics.
Purchase intention
Participants first indicated their likelihood of engaging in two risky scenarios: willingness to try a bizarre restaurant and to participate in a new gambling game. Likelihoods were indicated on a seven-point scale, anchored by very unlikely (1) and very likely (7). We counterbalanced the sequence of the two scenarios. The average score of the two items formed the dependent variable (Cronbach’s α = 0.64). Higher scores indicated higher tendencies to take risks.
Scenario 1
Modern Toilet Restaurant is a new toilet-themed restaurant where diners sit on acrylic toilets and meals are served in miniature toilet bowls. Previous customers and some famous gourmands have given the restaurant negative feedback.
Scenario 2
XEN Betting Ltd., an international betting company, has launched a completely new online video gambling game offering unstable winning probabilities. You can try this new game.
Attachment style
Attachment styles were measured by the Experiences in Close Relationship Scale (ECR; Brennan et al., 1998). Participants self-reported how extensively they agreed with 36 items about themselves, ranging from 1 (disagree strongly) to 7 (agree strongly). The scale includes anxiety (e.g., “I worry about being abandoned.”) and avoidance (e.g., “I avoid showing a partner my deepest feelings”) dimensions. Each dimension has 18 items. We computed mean scores of the two dimensions for each participant (Cronbach’sαanxiety = 0.95; Cronbach’sαavoidance = 0.91; r = 0.59, p < 0.05). Higher scores indicated high anxiousness and avoidance. The scores allowed us to identify two types of participants:1 securely attached individuals who scored no higher than 4 on both dimensions, and insecurely attached individuals who scored higher than 4 on either dimension. Thirty-one participants were classified as securely attached; 72 were classified as insecurely attached.
Results and Discussion
A univariate analysis testing the effect of attachment styles (0, insecure attachment; 1, secure attachment) on risk taking tendencies, controlling for age and gender, revealed that insecurely attached participants (M = 4.22, SD = 1.79) were significantly more willing to consume the new products than were securely attached participants (M = 2.61, SD = 1.59), F(1,99) = 15.01, p < 0.001, supporting Hypothesis 1.
Study 2: Risk-Taking in Various Domains
The findings from Study 1 revealed that attachment styles significantly predicted willingness to take risks by consuming new experiential products, showing that insecurely (securely) attached individuals were more (less) likely to take risks. However, doubt remains as to whether the two scenarios mimic real-life decision contexts or represent risk-taking in other domains, given that risk-taking could be domain-specific (Weber et al., 2002). Therefore, we conducted a second study to test the relationship between attachment styles and risk-taking behaviors in five, more general, domains.
Methods
Participants
In this Mturk study, 203 adult participants (Mage = 35.02, SD = 10.94; 129 men; 105 are parents of children under 182) were recruited online. Before the study, all participants signed an informed consent form.
Measures and Procedures
After signing the consent form, participants answered the 40-item domain-specific risk-taking behavior scale (Weber et al., 2002), in which eight items are used to measure each of five domains: financial, health/safety, recreational, ethical, and social decisions. For each item, participants indicated their likelihood of engaging in the provided activities on a five-point Likert scale, anchored by 1 = very unlikely and 5 = very likely. For example, the health/safety domain included the item “Not wearing a seatbelt when riding as a passenger in the front seat”; recreational risk-taking included the item “Piloting your own small plane if you could”; the ethic domain included the item “Forging a signature”; and the social risk domain included the item “Wearing provocative or unconventional clothes on occasion.” In addition, we separated financial decisions into two subdomains – gambling (4 items) and investment (4 items). Gambling included the item “Betting a day’s income at the horse races.” Investment included the item “Investing 5% of your annual income in a very speculative stock.” The average score of the 40 items formed the dependent variable (Cronbach’s α = 0.94). Higher scores indicated higher risk-taking tendencies.
As in Study 1, we measured attachment styles by the ECR scale (Brennan et al., 1998). 89 participants were classified as securely attached; 114 were classified as insecurely attached. Finally, we collected basic demographic information, such as age and gender.
Results and Discussion
We conducted a univariate analysis to test the prediction that attachment styles (0, insecure attachment; 1, secure attachment) and parental status (0, non-parents; 1, parents) interact to predict risk-taking tendency, controlling for age and gender. As Hypothesis 2 predicted, attachment style significantly interacted with the condition of living with children, F(1,197) = 5.62, p < 0.05 (Figure 1). Simple main effect analyses showed that participants with insecure attachment were more risk-taking when there were children living in the family (M = 3.03, SD = 0.76) than when there weren’t (M = 2.54, SD = 0.72), F(1,197) = 20.45, p < 0.001. For participants with secure attachment, whether there were children living in the family, risk-taking tendencies did not differ significantly (M = 2.38, SD = 0.58 vs. M = 2.38, SD = 0.54), F(1,197) = 0.69, p > 0.05. Both main effects were significant. Supporting Hypothesis 1, insecurely (securely) attached individuals were more (less) risk-taking. Supporting the prediction of risk-sensitivity theory, when there were children living in the family, which heightened the need of parenting, individuals were more risk-taking.
When risk-taking tendency was individually tested across domains, similar interactions were found in the domains of ethics, recreation, gambling, and investment domains (marginally significant, p = 0.08), but not in the domains of social and health. The main effect of attachment style was significant in all the domains except for the investment domain. These results suggest that risk taking related to insecure attachment are not domain specific.
Study 3: Risk-Taking in GM Product Consumption
Consumers associate significant risks with GM food product, which have known advantages and unknown disadvantages that might harm human health, and the natural environment. There is ample support for this claim (Scholderer et al., 1999; Grunert et al., 2001), Therefore, in a third study we used purchase intentions for GM products to measure consumers’ risk-taking behaviors. We also tested the role of safety perception as potentially mediating the relationship between attachment styles and purchase intention.
Methods
Participants
This online Mturk study included 102 adult participants (Mage = 34.32, SD = 10.68; 64 men; 53 are parents of children under 18). Before the study, all participants signed an informed consent form.
Measures and Procedures
We defined safety perception as a sense of security that GM technology offers more benefits than costs (McCarty et al., 2010). Participants rated their perceptions regarding whether GM products are safe for microbes, plants, mammals, and human beings on a seven-point scale (1, extremely unsafe; 7, extremely safe). A sample item was: “Do you think it is safe to use genetic engineering techniques to modify mammals (excluding humans)?” The average score of the four items formed safety perception scores (Cronbach’s α = 0.91). Higher scores indicated higher safety perceptions about GM products. Safety assessment was followed by the purchase intention of GM products on a seven-point scale, anchored by 1 (very unlikely) and 7 (very likely). Finally, participants completed the 36-item dispositional attachment orientation measurement on a seven-point scale, anchored by disagree strongly (1), and agree strongly (7).
Results and Discussion
We conducted a univariate analysis to test the prediction that attachment style (0, insecure attachment; 1, secure attachment) interacts with parental status (0, non-parents; 1, parents) to predict purchase intention, controlling for age, and gender. The correlation between safety perception and risky purchase intention was 0.69, p < 0.001. As H2 predicted, attachment style significantly interacted with parental status [F(1,96) = 4.57, p < 0.05; Figure 2). Simple main effect analyses showed that for participants with insecure attachment, parents were more risk-taking (M = 4.94, SD = 1.69) than non-parents (M = 4.28, SD = 1.53), F(1,96) = 4.24, p < 0.05. For participants with secure attachment, parental status did not significantly influence their risk-taking tendencies (M = 3.95, SD = 1.62 vs. M = 4.76, SD = 1.71), F(1,96) = 0.93, p > 0.05. Neither main effects were significant.
Mediation Effect of Safety Perception
We hypothesized that safety perception mediates the relationship between attachment styles and GM product purchase intentions. We tested the mediation hypothesis using the bootstrapping procedure and corresponding macro (Preacher and Hayes, 2008), regressing GM product purchase intentions on safety assessment and attachment styles, with safety assessment centered as the proposed mediator. Results show that, safety perception was positively related (Figure 3; β = 0.77, p < 0.001) to purchase intention; when safety perception was taken into account, the direct effect of attachment security on purchase intention was insignificant (β = 0.30, ns). We performed 1000 bootstrap resamples. The 95% confidence interval obtained for the indirect effect of attachment styles on GM product purchase intention through safety assessment did not contain zero (0.16, 1.15). Therefore, we are confident at α = 0.05 that the corresponding increase in safety perception mediated decreased attachment security (adjusted R2 = 0.48).
Figure 3. Mediation analysis of safety perception on the linkage between attachment style and purchase intention. ∗p < 0.05; ∗∗p < 0.01; ∗∗∗p < 0.001.
The findings revealed that relative to securely attached participants, insecurely attached participants had stronger intentions to purchase GM products, and suggesting more risk seeking. Mediation analysis showed that safety perception mediated the effect of attachment styles on purchase intentions. Specifically, insecurely attached individuals perceived GM products to be safer, and were hence more likely to take risks in buying GM products. Hypothesis 3 was supported.
General Discussion
Individuals vary in their life history strategies that are related to differences in early-life conditions (Belsky et al., 1991; Ellis et al., 2009). As an indicator of early-life conditions, the relationship between adult attachment and risk taking is straight forward in the context of life history theory, with insecurely attached individuals consistently taking more risk. Nonetheless, little is known concerning how far these risk takers can go. Echoing recent discussion that life history strategies manifest themselves into stable individual differences (Wolf et al., 2007), the current research suggests insecurely attached individuals might take more risks beyond evolutionary valid domains of risk, namely consumer behavior, and this effect is modulated by individuals’ perceived need in a foci situation. We take into account the modulation role of a life history variable, parental status, as an indicator of situational need.
Consistent with our predictions, we showed that insecurely (vs. securely) attached participants were more (vs. less) risk-taking across the domains (H1, studies 1 and 2), and this effect was moderated by parental status (H2, studies 2 and 3). Whereas being a parent led insecure-attached individuals to take more risks, it did not significantly change risk propensity of securely attached individuals. We also directly tested the psychological mechanism underlying this effect (H3), showing that the linkage between attachment security and risk-taking is mediated by individuals’ safety perception (Study 3), suggesting that relative to securely attached individuals, insecurely attached individuals are more risk-taking because they perceive a purchasing GM product to be safer. Our study explored domain specificity of the influence attachment styles and showed that in the majority of the domains (except for the investment domain), insecurely attached individuals were more risk-taking, suggesting a domain-general effect of attachment insecurity on risk taking.
Our research contributes to the literature on sensitization models (Griskevicius et al., 2011a,b, 2013), which posits that early developmental environments sensitize individuals to respond to adversity in life in different ways. The expression of fast and slow strategies is contingent on current levels of stress (Griskevicius et al., 2013). The moderation role of parental stress was conceptually consistent with past research showing that levels of stress triggered by cues of mortality, economic recession, or competitive disadvantages lead individuals to respond based on their life history strategies. For example, Griskevicius et al. (2011b) showed that people who grew up in low socio-economic status environments were more risk-taking when exposed to cues of mortality; whereas mortality cues did not increase risk taking for people from high socio-economic status environments as a child. We extend these models by suggesting that individuals with different life history strategies might perceive the same stressful situations differently. Specifically, we suggest that being a parent might be more stressful for insecurely attached individuals than those securely attached. Therefore, it triggers higher levels of stress/need in insecurely attached parents, and hence more risk-taking.
Our research found that insecurely attached individuals perceived GM products to be safer than securely attached individuals, therefore they took more risks. At first glance, this finding contradicts with commonly held beliefs that securely attached individuals should have perceived the world to be safer and explore the environment beyond one’s relationship compared with insecurely attached individuals (Bowlby, 1988; see also Green and Campbell, 2000; Waters and Cummings, 2000; Crowell et al., 2002). Our results show that this “sense of felt security” (Sroufe and Waters, 1977) is different from one’s safety perception. Echoing previous research concerning individuals’ beliefs about future predictability (Hill et al., 1997; Zhu et al., 2019), our result suggests that insecurely attached individuals, having been raised in an unpredictable environment, adopt fast life strategies that focus on short-term benefits and neglect long-term ones, and form distorted perceptions of risk/safety.
Our research has important implications for developing marketing strategies. Drawing on the effect of life history strategies on “resource scarcity” (Griskevicius et al., 2013), there has been a recent surge in consumer behavior research investigating resource scarcity from the life history perspective (for a review, see Hamilton et al., 2018). For example, Mittal and Griskevicius (2016) showed that reminding resource scarcity affected adult health care decisions, such that people who grew up poor were less interested in health coverage compared to those who grew up wealthy. This effect emerged most strongly when adults were experiencing financial threat. Corroborating these findings, we show that consumers with insecure attachment were more willing to take risks in consuming new experiential and genetically modified products. This effect emerged more strongly for parents than non-parents. It is reasonable to predict that they will react differently to limited-quantity promotions (Kristofferson et al., 2016), and to range marketing offers (Fan et al., 2018).
Our research has several limitations. First, it is correlational in nature, which could only provide preliminary evidence showing how attachment styles influence consumer risk-taking behaviors. Future research is needed to reveal the causal relationship. Drawing on social-cognitive theory, Baldwin et al. (1996) posited that most people have multiple models of relationships, but one model is more chronically accessible, depending on intensity, and frequency of corresponding relational experiences. Future research could test our finding by directly manipulating accessibility of attachment working models. Second, we tested the safety perception of GM product as a mediator, serving as a proximate cause for risk taking. Future studies could test the more ultimate reasons that account for the linkage between attachment styles and risk taking (Belsky et al., 1991). Last but not least, we generated our hypotheses drawing heavily on studies concerning perceived resource need. Nonetheless, we did not directly test perceived need, or compared need perception of securely and insecurely attached participants. Future research should directly test the implication of parenting status and adult attachment on important decisions through the micro-mediation of perceived need.
This paper provides preliminary evidence concerning how attachment style influences risk-taking among consumers, contingencies of the effect (i.e., parental status), and underlying mechanisms. Ours lends support to the significance of applying the evolutionary perspective in understanding the effect of attachment styles on customer behavior beyond the relational domain. Understanding the impact of attachment styles on consumers’ risk-taking behaviors could help marketers to segment and target potential customers, and to develop marketing strategies.
Ethics Statement
This study was carried out in accordance with the recommendations of APA’s ethical guidelines, Research Ethical Committee of Business School, Nanjing University. The protocol was approved by the Research Ethical Committee of Business School, Nanjing University. All subjects gave informed consent prior to participation in the study. All subjects could abort the experiment at any time.
Author Contributions
All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.
Funding
This work was supported by Grant 71502080 from National Natural Science Foundation of China to YL, Grant 71401036 from National Natural Science Foundation of China to SL, “ the Fundamental Research Funds for the Central Universities” in UIBE (18YB08) to JL, Grant 71401190 from National Natural Science Foundation of China, and “the Program for Innovation Research” in Central University of Finance and Economics to FJ.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Footnotes
- ^Only secure vs. insecure dichotomies are consistent across measurement systems and are most stable across life spans (Waters et al., 2000; Crowell et al., 2002; Stein et al., 2002). Therefore, we adopted the secure vs. insecure dichotomy based on ECR scale scores, rather than using the two-dimension.
- ^We asked participants to indicate their family structure by choosing on from the 6 options (single with children, single without children, married with children, married without children, life partner with children, and life partner without children). We code those who chose with children options as parents, and those who chose without children as non-parents.
References
Abidin, R. R. (1992). The determinants of parenting behavior. J. Clin. Child Psychol. 21, 407–412. doi: 10.1207/s15374424jccp2104_12
Adams, J., and Hillman, M. (2001). The risk compensation theory and bicycle helmets. Inj. Prev. 7, 89–91. doi: 10.1136/ip.7.2.89
Ahluwalia, R., Stilley, K., and Swaminathan, V. (2009). When brand personality matters: the moderating role of attachment style. J. Consum. Res. 35, 985–1002. doi: 10.1086/593948
Anders, S. L., and Tucker, J. S. (2000). Adult attachment style, interpersonal communication competence, and social support. Pers. Relationsh. 7, 379–389. doi: 10.1002/cpp.1849
Baldwin, M. W., Keelan, J. P. R., Fehr, B., Enns, V., and Koh-Rangarajoo, E. (1996). Social-cognitive conceptualization of attachment working models: availability and accessibility effects. J. Pers. Soc. Psychol. 71, 94–109. doi: 10.1037//0022-3514.71.1.94
Belsky, J., Schlomer, G. L., and Ellis, B. J. (2012). Beyond cumulative risk: distinguishing harshness and unpredictability as determinants of parenting and early life history strategy. Dev. Psychol. 48, 662–673. doi: 10.1037/a0024454
Belsky, J., Steinberg, L., and Draper, P. (1991). Childhood experience, interpersonal development, and reproductive strategy: an evolutionary theory of socialization. Child Dev. 62, 647–670. doi: 10.1111/j.1467-8624.1991.tb01558.x
Bogaert, A. F., and Sadava, S. (2002). Adult attachment and sexual behavior. Pers. Relationsh. 9, 191–204. doi: 10.1111/1475-6811.00012
Bowlby, J. (1988). A Secure Base: Parent-Child Attachment and Healthy Human Development. New York, NY: Basic Books.
Brennan, K. A., Clark, C. L., and Shaver, P. R. (1998). “Self-report measurement of adult attachment: an integrative overview,” in Attachment Theory and Close Relationships, eds J. A. Simpson and W. S. Rholes (New York, NY: Guilford Press), 46–76.
Brezina, T., Tekin, E., and Topalli, V. (2009). “Might not be a tomorrow”: a multimethods approach to anticipated early death and youth crime. Criminology 47, 1091–1129. doi: 10.1111/j.1745-9125.2009.00170.x
Buss, D. M., and Schmitt, D. P. (1993). Sexual strategies theory: an evolutionary perspective on human mating. Psychol. Rev. 100, 204–232. doi: 10.1037//0033-295x.100.2.204
Canale, N., Vieno, A., Lenzi, M., Griffiths, M. D., Perkins, D. D., and Santinello, M. (2018). Cross-national differences in risk preference and individual deprivation: a large-scale empirical study. Pers. Individ. Dif. 126, 52–60. doi: 10.1016/j.paid.2018.01.006
Carter, T. J., and Gilovich, T. (2012). I am what I do, not what I have: the differential centrality of experiential and material purchases to the self. J. Pers. Soc. Psychol. 102, 1304–1317. doi: 10.1037/a0027407
Chang, L. (2018). “Life history theory,” in The SAGE Encyclopedia of Lifespan Human Development, eds and Assoc. M. H. Bornstein, M. Arterberry, K. Fingerman, and J. E. Lansford (Thousand Oaks, CA: SAGE), 1276–1281.
Chang, L., and Lu, H. J. (2018). Resource and extrinsic risk in defining fast life histories of rural Chinese left-behind children. Evol. Hum. Behav. 39, 59–66. doi: 10.1016/j.evolhumbehav.2017.10.003
Chen, B. B. (2017). Insecure attachment, resource control, and unrestricted sociosexuality: from a life history perspective. Pers. Individ. Dif. 105, 213–217. doi: 10.1016/j.paid.2016.09.062
Chen, B.-B., and Chang, L. (2012). Adaptive insecure attachment and resource control strategies during middle childhood. Int. J. Behav. Dev. 36, 389–397. doi: 10.1177/0165025412445440
Chen, P., and Vazsonyi, A. T. (2011). Future orientation, impulsivity, and problem behaviors: a longitudinal moderation model. Dev. Psychol. 47, 1633–1645. doi: 10.1037/a0025327
Chisholm, J. S. (1993). Death, hope, and sex: life-history theory and the development of reproductive strategies. Curr. Anthropol. 34, 1–24. doi: 10.1086/204131
Ciesla, J. A., Roberts, J. E., and Hewitt, R. G. (2004). Adult attachment and high-risk sexual behavior among HIV-positive patients. J. Appl. Soc. Psychol. 34, 108–124. doi: 10.1111/j.1559-1816.2004.tb02539.x
Cooper, M. L., Shapiro, C. M., and Powers, A. M. (1998). Motivations for sex and risky sexual behavior among adolescents and young adults: a functional perspective. J. Pers. Soc. Psychol. 75, 1528–1558. doi: 10.1037//0022-3514.75.6.1528
Crowell, J. A., Treboux, D., and Waters, E. (2002). Stability of attachment representations: the transition to marriage. Dev. Psychol. 38, 467–479. doi: 10.1037//0012-1649.38.4.467
David, M. E., and Bearden, W. O. (2017). The role of interpersonal attachment styles in shaping consumer preferences for products shown in relational advertisements. Pers. Individ. Dif. 109, 44–50. doi: 10.1016/j.paid.2016.12.042
David, M. E., Bearden, W. O., and Haws, K. L. (2017). Priced just for me: the role of interpersonal attachment style on consumer responses to customized pricing. J. Consum. Behav. 16, e26–e37. doi: 10.1002/cb.1651
Deater-Deckard, K. (2004). Parenting Stress. New Haven, CT: Yale University Press. doi: 10.1002/cb.1651
Del Giudice, M. (2009). Sex, attachment, and the development of reproductive strategies. Behav. Brain Sci. 32, 1–21. doi: 10.1017/s0140525x09000016
Del Giudice, M. (2014). An evolutionary life history framework for psychopathology. Psychol. Inq. 25, 261–300. doi: 10.1037/a0027508
Del Giudice, M., Ellis, B. J., and Shirtcliff, E. A. (2011). The adaptive calibration model of stress responsivity. Neurosci. Biobehav. Rev. 35, 1562–1592. doi: 10.1002/dev.21429
Diehl, K., Zauberman, G., and Barasch, A. (2016). How taking photos increases enjoyment of experiences. J. Pers. Soc. Psychol. 111, 119–140. doi: 10.1037/pspa0000055
Dowling, G. R., and Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. J. Consum. Res. 21, 119–134.
Draper, P., and Harpending, H. (1982). Father absence and reproductive strategy: an evolutionary perspective. J. Anthropol. Res. 38, 255–273. doi: 10.1086/jar.38.3.3629848
Dunkel, C. S., and Decker, M. (2010). Convergent validity of measures of life-history strategy. Pers. Individ. Dif. 48, 681–684. doi: 10.1080/10401334.2017.1414608
Ellis, B. J., Figueredo, A. J., Brumbach, B. H., and Schlomer, G. L. (2009). The impact of harsh versus unpredictable environments on the evolution and development of life history strategies. Hum. Nat. 20, 204–268. doi: 10.1007/s12110-009-9063-7
Fan, L. S., Li, X. S., and Jiang, Y. (2018). Room for opportunity: resource scarcity increases attractiveness of range marketing offers. J. Consum. Res. doi: 10.1093/jcr/ucy059
Feeney, J. A., Peterson, C., Gallois, C., and Terry, D. J. (2000). Attachment style as a predictor of sexual attitudes and behavior in late Adolescence. Psychol. Health 14, 1105–1122. doi: 10.1080/08870440008407370
Florian, V., Mikulincer, M., and Bucholtz, I. (1995). Effects of adult attachment style on the perception and search for social support. J. Psychol. 129, 665–676. doi: 10.1080/00223980.1995.9914937
Friedman, M., and Savage, L. J. (1948). The utility analysis of choice involving risk. J. Polit. Econ. 56, 279–304. doi: 10.1086/256692
Gamble, T., and Walker, I. (2016). Wearing a bicycle helmet can increase risk taking and sensation seeking in adults. Psychol. Sci. 27, 289–294. doi: 10.1177/0956797615620784
Gangestad, S. W., and Simpson, J. A. (2000). The evolution of human mating: trade-offs and strategic pluralism. Behav. Brain Sci. 23, 573–587. doi: 10.1017/s0140525x0000337x
Green, J. D., and Campbell, W. K. (2000). Attachment and exploration in adults: chronic and contextual accessibility. Pers. Soc. Psychol. Bull. 26, 452–461. doi: 10.1177/0146167200266004
Griskevicius, V., Ackerman, J. M., Cantú, S. M., Delton, A. W., Robertson, T. E., Simpson, J. A., et al. (2013). When the economy falters, do people spend or save? Responses to resource scarcity depend on childhood environments. Psychol. Sci. 24, 197–205. doi: 10.1177/0956797612451471
Griskevicius, V., Delton, A. W., Robertson, T. E., and Tybur, J. M. (2011a). Environmental contingency in life history strategies: the influence of mortality and socioeconomic status on reproductive timing. J. Pers. Soc. Psychol. 100, 241–254. doi: 10.1037/a0021082
Griskevicius, V., Tybur, J. M., Delton, A. W., and Robertson, T. E. (2011b). The influence of mortality and socioeconomic status on risk and delayed rewards: a life history theory approach. J. Pers. Soc. Psychol. 100, 1015–1026. doi: 10.1037/a0022403
Grunert, K. G., Lähteenmäki, L., Nielsen, N. A., Poulsen, J. B., Ueland, O., and Åström, A. (2001). Consumer perceptions of food products involving genetic modification—Results from a qualitative study in four Nordic countries. Food Qual. Prefer. 12, 527–542. doi: 10.1016/s0950-3293(01)00049-0
Hamilton, R., Thompson, D., Bone, S., Chaplin, L. N., Griskevicius, V., Goldsmith, K., et al. (2018). The effects of scarcity on consumer decision journeys. J. Acad. Mark. Sci. doi: 10.1007/s11747-018-0604-7
Hill, E. M., Jenkins, J., and Farmer, L. (2008). Family unpredictability, future discounting, and risk taking. J. Socioecon. 37, 1381–1396. doi: 10.1016/j.socec.2006.12.081
Hill, E. M., Ross, L. T., and Low, B. S. (1997). The role of future unpredictability in human risk-taking. Hum. Nat. 8, 287–325. doi: 10.1007/BF02913037
Kacelnik, A., and Bateson, M. (1996). Risky theories: the effects of variance on foraging decisions. Am. Zool. 36, 402–443.
Kacelnik, A., and Bateson, M. (1997). Risk-sensitivity: crossroads for theories of decision-making. Trends Cogn. Sci. 1, 304–309. doi: 10.1016/S1364-6613(97)01093-0
Kahn, J. A., Kaplowitz, R. A., Goodman, E., and Emans, S. J. (2002). The association between impulsiveness and sexual risk behaviors in adolescent and young adult women. J. Adolesc. Health 30, 229–232. doi: 10.1016/s1054-139x(01)00391-3
Kenrick, D. T., Griskevicius, V., Neuberg, S. L., and Schaller, M. (2010). Renovating the pyramid of needs: contemporary extensions built upon ancient foundations. Perspect. Psychol. Sci. 5, 292–314. doi: 10.1177/1745691610369469
Korte, S. M., Koolhaas, J. M., Wingfield, J. C., and McEwen, B. S. (2005). The Darwinian concept of stress: benefits of allostasis and costs of allostatic load and the trade-offs in health and disease. Neurosci. Biobehav. Rev. 29, 3–38. doi: 10.1016/j.neubiorev.2004.08.009
Kristofferson, K., McFerran, B., Morales, A. C., and Dahl, D. W. (2016). The dark side of scarcity promotions: how exposure to limited-quantity promotions can induce aggression. J. Consum. Res. 43, 683–706.
Levav, J., and Argo, J. J. (2010). Physical contact and financial risk taking. Psychol. Sci. 21, 804–810. doi: 10.1177/0956797610369493
McCarty, C., Prawitz, A. D., Derscheid, L. E., and Montgomery, B. (2010). Perceived safety and teen risk taking in online chat sites. Cyberpsychol. Behav. Soc. Netw. 14, 169–174. doi: 10.1089/cyber.2010.0050
Mishra, S., Barclay, P., and Lalumière, M. L. (2014). Competitive disadvantage facilitates risk taking. Evol. Hum. Behav. 35, 126–132. doi: 10.1016/j.evolhumbehav.2013.11.006
Mishra, S., Barclay, P., and Sparks, A. (2017). The relative state model: integrating need-based and ability-based pathways to risk-taking. Pers. Soc. Psychol. Rev. 21, 176–198. doi: 10.1177/1088868316644094
Mishra, S., and Fiddick, L. (2012). Beyond gains and losses: the effect of need on risky choice in framed decisions. J. Pers. Soc. Psychol. 102, 1136–1147. doi: 10.1037/a0027855
Mishra, S., and Lalumière, M. L. (2010). You can’t always get what you want: the motivational effect of need on risk-sensitive decision-making. J. Exp. Soc. Psychol. 46, 605–611. doi: 10.1016/j.jesp.2009.12.009
Mishra, S., and Lalumière, M. L. (2008). “Risk taking, antisocial behavior, and life histories,” in Evolutionary Forensic Psychology: Darwinian Foundations of Crime and Law, eds J. Duntley and T. K. Shackelford (New York, NY: Oxford University Press), 176–197.
Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. Eur. J. Mark. 33, 163–195. doi: 10.1108/03090569910249229
Mittal, C., and Griskevicius, V. (2016). Silver spoons and platinum plans: how childhood environment affects adult health care decisions. J. Consum. Res. 43, 636–656. doi: 10.1093/jcr/ucw046
Nesse, R. M. (2004). Natural selection and the elusiveness of happiness. Philos. Trans. R. Soc. Lond. B Biol. Sci. 359, 1333–1347. doi: 10.1098/rstb.2004.1511
Nesse, R. M., and Jackson, E. D. (2006). Evolution: psychiatric nosology’s missing biological foundation. Clin. Neuropsychiatry 3, 121–131.
Nygren, M., Carstensen, J., Ludvigsson, J., and Frostell, A. S. (2012). Adult attachment and parenting stress among parents of toddlers. J. Reprod. Infant Psychol. 30, 289–302. doi: 10.1080/02646838.2012.717264
Preacher, K. J., and Hayes, A. F. (2008). “Contemporary approaches to assessing mediation in communication research”, in The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research (Thousand Oaks, CA: Sage Publications), 13–54. doi: 10.4135/9781452272054
Rholes, W. R., Simpson, J. A., Blakely, B. S., Lanigan, L., and Allen, E. A. (1997). Adult attachment styles, the desire to have children, and working models of parenthood. J. Pers. 65, 357–385. doi: 10.1111/j.1467-6494.1997.tb00958.x
Rholes, W. S., Simpson, J. A., and Friedman, M. (2006). Avoidant attachment and the experience of parenting. Pers. Soc. Psychol. Bull. 32, 275–285. doi: 10.1177/0146167205280910
Ross, L. T., and Hill, E. M. (2002). Childhood unpredictability, schemas for unpredictability, and risk taking. Soc. Behav. Pers. 30, 453–473. doi: 10.2224/sbp.2002.30.5.453
Scholderer, J., Balderjahn, I., Bredahl, L., and Grunert, K. G. (1999). The perceived benefits of genetically modified food products: experts versus consumers. Eur. Adv. Consum. Res. 4, 123–129.
Simpson, J. A., and Gangestad, S. W. (2001). Evolution and relationships: a call for integration. Pers. Relationsh. 8, 341–355. doi: 10.1111/j.1475-6811.2001.tb00044.x
Simpson, J. A., Griskevicius, V., and Rothman, A. J. (2012). Consumer decisions in relationships. J. Consum. Psychol. 22, 304–314. doi: 10.1016/j.jcps.2011.09.007
Sroufe, L. A., and Waters, E. (1977). Attachment as an organizational construct. Child Dev. 48, 1184–1199. doi: 10.1111/j.1467-8624.1977.tb03922.x
Stein, H., Koontz, A. D., Fonagy, P., Allen, J. G., Fultz, J., Brethour, J. R., et al. (2002). Adult attachment: What are the underlying dimensions? Psychol. Psychother. Theory Res. Pract. 75, 77–91. doi: 10.1348/147608302169562
Szepsenwol, O., and Simpson, J. A. (2019). Attachment within life history theory: an evolutionary perspective on individual differences in attachment. Curr. Opin. Psychol. 25, 65–70. doi: 10.1016/j.copsyc.2018.03.005
Taubman-Ben-Ari, O., and Mikulincer, M. (2007). The effects of dispositional attachment orientations and contextual priming of attachment security on reckless driving. Transp. Res. F Traffic Psychol. Behav. 10, 123–138. doi: 10.1016/j.trf.2006.08.002
Taylor, J. W. (1974). The role of risk in consumer behavior. J. Mark. 38, 54–60. doi: 10.1177/002224297403800211
Thomson, M., Whelan, J., and Johnson, A. R. (2012). Why brands should fear fearful consumers: how attachment style predicts retaliation. J. Consum. Psychol. 22, 289–298. doi: 10.1016/j.jcps.2011.04.006
Van Boven, L., and Gilovich, T. (2003). To do or to have? That is the question. J. Pers. Soc. Psychol. 85, 1193–1202.
Wang, X. T., Kruger, D. J., and Wilke, A. (2009). Life history variables and risk-taking propensity. Evol. Hum. Behav. 30, 77–84. doi: 10.1016/j.evolhumbehav.2008.09.006
Waters, E., and Cummings, E. M. (2000). A secure base from which to explore close relationships. Child Dev. 71, 164–172. doi: 10.1111/1467-8624.00130
Waters, E., Merrick, S., Treboux, D., Crowell, J., and Albersheim, L. (2000). Attachment security in infancy and early adulthood: a twenty-year longitudinal study. Child Dev. 71, 684–689. doi: 10.1111/1467-8624.00176
Weber, E. U., Blais, A. R., and Betz, N. E. (2002). A domain-specific risk-attitude scale: measuring risk perceptions and risk behaviors. J. Behav. Decis. Mak. 15, 263–290. doi: 10.1002/bdm.414
Weber, E. U., and Hsee, C. (1998). Cross-cultural differences in risk perception, but cross-cultural similarities in attitudes towards perceived risk. Manage. Sci. 44, 1205–1217. doi: 10.1287/mnsc.44.9.1205
Weber, E. U., Shafir, S., and Blais, A. (2004). Predicting risk-sensitivity in humans and lower animals: risk as variance or coefficient of variation. Psychol. Rev. 111, 430–445. doi: 10.1037/0033-295x.111.2.430
Wolf, M., Van Doorn, G. S., Leimar, O., and Weissing, F. J. (2007). Life-history trade-offs favour the evolution of animal personalities. Nature 447, 581–584. doi: 10.1038/nature05835
Keywords: attachment styles, consumer behavior, life history, risk-sensitivity, risk-taking
Citation: Li YJ, Lu S, Lan J and Jiang F (2019) Feel Safe to Take More Risks? Insecure Attachment Increases Consumer Risk-Taking Behavior. Front. Psychol. 10:874. doi: 10.3389/fpsyg.2019.00874
Received: 10 January 2019; Accepted: 02 April 2019;
Published: 24 April 2019.
Edited by:
Corey L. Fincher, University of Warwick, United KingdomCopyright © 2019 Li, Lu, Lan and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Feng Jiang, fengjiang0205@gmail.com
†Equal first authorship