Considering the Role of Affect and Anticipated Emotions in the Formation of Consumer Loyalty Intentions

Ajzen and Sheikh ( 2013 ) recently challenge calls for adding explicit measures of emotions or affect as independent constructs into the Theory of Reasoned Action (TRA). This assertion has potentially significant theoretical and operational implications for marketers in terms of parsimony and insight. The specific questions of whether or not the addition of anticipated forms of emotions and/or hedonic attitudes to traditional attitude‐based models meaningfully contributes to understanding loyalty intention formation in a retail marketing setting are empirically assessed in this research. Results suggest that, consistent with the arguments of Perugini and Bagozzi ( 2001 ), the independent addition of anticipated emotions (AEs) to attitude models such as the TRA, Theory of Planned Behavior, and Model of Goal‐Directed Behavior (MGB) can be justified in terms of model fit with data, predictive validity (?R²), and efficacy in explanation. Interestingly, however, and consistent with the theoretical arguments underlying the TRA, the models receiving the most overall support appear to be models wherein Attitude_Overall mediates the contributions of positive and negative AEs on endogenous variables such as Desires and Intentions_Loyalty. While it remains up to the individual marketer which perspective to embrace given the observed gains reported herein, the present research also supports the notion that the addition of hedonic attitude forms and/or AEs can offer an overall net gain for many marketers. The managerial and research implications of the results are discussed.     

Up in smoke: demarketing and consumer smoking cessation

The concept of demarketing refers to the use of marketing techniques to reduce or eliminate demand for a product or service. A review of the demarketing literature relating to health and specifically antismoking initiatives indicated that, while research on this topic exists, much of it is not grounded in an acceptable attitudinal or behavioural theory. After determining the importance placed by a sample of 18–24‐year olds on nine demarketing initiatives, two dimensions were identified that best explained this construct. Items within these dimensions were summed and averaged to form single variables, which were then used to form the attitudinal component of the Model of Goal Directed Behaviour. The findings showed that two of these variables – one that captured product packaging aspects and another that consisted of place and price items – significantly influenced the desire to quit and indirectly influenced the intention to quit. Anticipated positive emotions, frequency of quitting attempts and perceived control over quitting also positively influenced the desire and/or intention to quit. The article concludes with a discussion that interprets these findings from a theoretical and practical perspective and suggests directions for future research.     

Consumer Acceptance of mHealth Services: A Comparison of Behavioral Intention Models

Recent appropriation of mobile devices to deliver health services is transforming the health care landscape, offering reduced costs and increased access for service providers and consumers. This article examines factors influencing consumers' decisions to adopt mobile health (mHealth) services through a comparison of three behavioral intention models. A national web-based survey of 482 French adults indicates that the model of goal-directed behavior (MGB) more fully, though less parsimoniously, explains consumers' acceptance of mHealth services. This research provides insight into the usefulness of the MGB in improving understanding of the determinants of behavior situated at the intersection of health, service, and technology.     

Relationship Quality and the Theory of Planned Behavior models of behavioral intentions and purchase behavior

Using real-life purchase behavior data of apparel and survey information, this study compares the Relationship Quality and the Theory of Planned Behavior models. The attitude towards the buying behavior, the subjective norm and perceived behavioral control (antecedents of the buying intention in the Theory of Planned Behavior) are better predictors of behavioral intentions than Relationship Quality. In both models intentions fully mediate the impact of attitudinal antecedents on behavior, both in terms of purchase incidence and purchase behavior (amount spent, number of visits, and types of products bought). Frequency and recency of prior buying behavior and, to a lesser extent, its monetary value, predict subsequent purchase incidence, above and beyond the impact of attitude and intention. Attitudinal antecedents of behavior significantly predict buying behavior, but they become insignificant when buying behavior is included in the model.     

Unit (non)response in Web‐based access panel surveys: An extended planned‐behavior approach

The decision process when requested to participate in a Web survey is understood most appropriately by applying a psychological theory of human action. Consequently, this study utilized an extended version of Ajzen's theory of planned behavior to predict and explain the number of participations in a five‐wave Web‐based panel study. Based on this model, the determinants of unit nonresponse in Web‐based surveys are one's attitude toward participating in Web surveys, internalized social pressure, perceived behavioral control, and extent of moral obligation toward participating. The results indicate a satisfactory predictive power of the model. Perceived behavioral control and attitude toward participation predict the intention to participate best, followed by internalized social pressure and moral obligation. The theoretical perspective pursued proved to be valuable in terms of its predictive and explanative power as well as its practical value for Web‐based survey research. © 2005 Wiley Periodicals, Inc.     

The role of desire in understanding intentions to drink responsibly: an application of the Model of Goal-Directed Behaviour

Abstract

This study models young people’s moderate drinking decision-making using the Model of Goal-Directed Behaviour (MGB), thus presenting insights into young people’s desires and intentions to drink responsibly. Testing the applicability of the MGB to quantitatively analyse responsible drinking, the explanatory sphere of the MGB is extended. An online survey resulted in 1522 completed questionnaires from respondents aged between 18 and 25 years. Collected data were analysed with structural equation modelling (SEM) using SPSS AMOS21 (IBM, New York, NY, USA) software. The key finding of this study is that an individual’s desire to drink moderately is the most important predictor of young people’s responsible drinking intentions. Our use of MGB provides further evidence that there is a strong distinction between consumer desires and intentions.     

Whistleblowing as Planned Behavior – A Survey of South Korean Police Officers

This article explores the relevance of the Theory of Planned Behavior to whistleblowing research, and considers whether its widely tested validity as a model of the link between attitudes, intention, and behavior might make it an appropriate candidate for a general theory to account for whistleblowing. This proposition is developed through an empirical test of the theory’s predictive validity for whistleblowing intentions. Using a sample of 296 Korean police officers, the analysis showed that attitude, subjective norm, and perceived behavioral control all had significantly positive main effects on internal whistleblowing intentions, but for external whistleblowing intentions only subjective norm was significant. The implications of these findings for applying the Theory of Planned Behavior to whistleblowing research are discussed.     

Training professionals' usage and understanding of Kirkpatrick's Level 3 and Level 4 evaluations

Training professionals have long acknowledged the necessity of conducting behavior‐based (Level 3) and results‐based (Level 4) evaluations, yet organizations do not frequently conduct such evaluations. This research examined training professionals' perceptions of the utility of Level 3 and Level 4 evaluations and the factors that facilitate or obstruct their attempts to perform them. The research was conducted using Brinkerhoff's Success Case Method and Gilbert's Behavior Engineering Model as its frameworks. The three key factors identified by study participants as having an impact upon their ability to conduct Level 3 and Level 4 evaluations were the availability of resources such as time and personnel, managerial support (organizational) and expertise in evaluative methodology (individual). The research findings indicated a need to further explore how training professionals interpret Level 3 and Level 4 and how they can better develop their evaluative expertise, which in turn may increase effectiveness in gaining organizational support for evaluation efforts.     

Chinese dietary culture influences consumers' intention to use imported soy‐based dietary supplements: an application of the theory of planned behaviour

The over‐saturated dietary supplement (DS) market in developed countries such as the US spurs the need for foreign market expansion, and the Chinese market provides a great potential for the foreign soy‐based DS industry. This study examined Chinese consumers' intention to use imported (US‐made US‐brand) soy‐based DS based on the Theory of Planned Behavior (TPB). Two alternative models were also examined in which Chinese dietary culture variables, including soyfoods favourability and dining‐out sociability, as well as their interactions with attitudes, were integrated into the TPB model. A cross‐sectional, self‐administered survey was conducted with a sample of 215 subjects (137 females; 78 males) in Shanghai, China. The TPB variables attitude, subjective norm, perceived behaviour control and behavioural intention, as well as the Chinese dietary culture variables: soyfoods favourability and dine‐out sociability were measured. Multiple linear regressions were used to analyze the three models. The statistical results indicated that all three models were statistically significant to predict intention (Model 1: R² = 0.473, P < 0.001; Model 2: R² = 0.505, P < 0.001; Model 3: R² = 0.525, P < 0.001). The results also showed that attitude, perceived behavioural control, and dine‐out sociability were significant (positive) determinants of intention. Soyfoods favourability acted a significant (negative) moderator of the relationship between attitude and intention. Subjective norm had no significant impact on intention. In conclusion, the TPB model was useful to predict Chinese consumers' intention to use imported soy‐based DS, but not all the TPB components weighed significantly in exploring DS consumption in China. The selected Chinese dietary culture variables were much more important predictors than subjective norm. This study makes a significant contribution in the application of the TPB model and in market strategy development for imported dietary supplements in China.     

The effect of decision makers’ time perspective on intention–behavior consistency

This research demonstrates that decision makers?? time perspective??a cognitive, temporal bias that leads people to overemphasize the past, present, or future in their decision making??systematically influences self-reported behavioral intentions and thus intention?Cbehavior consistency for distant-future behaviors. Whereas present-hedonistic individuals overstate their intentions, present-fatalistic individuals understate theirs, so both types exhibit low intention?Cbehavior consistency. Future time-oriented individuals instead exhibit high intention?Cbehavior consistency because they are less likely to overstate their intentions. The findings are contributed to decision makers?? time perspective influencing the construal of distant-future behavior when reporting behavioral intentions. Accounting for decision makers?? time perspectives helps improve predictive accuracy and may change insights obtained from causal models that use self-reported intentions as a proxy for actual, distant-future behavior.     

The effects of product scarcity and consumers' need for uniqueness on purchase intention

Scarcity strategies are employed by marketers to influence consumer decision making. Many famous brands have been designed and produced for the purpose of as being marketed as limited‐edition products to intensify consumer desire and intention to purchase them. However, very few studies have simultaneously integrated relevant constructs to explain the phenomenon of scarcity purchasing. To fill this void, this study develops a comprehensive research model in order to fully understand how scarcity affects consumer value perception and purchase intention. Simultaneously, two competing models are developed to compare the explanation power of Lynn's Scarcity–Expensiveness–Desirability (S‐E‐D) model and Synde and Fromkin's desire for uniqueness model. The results suggest that the effects of scarcity on purchase intention through perceived uniqueness, perceived sacrifice and perceived value are stronger than the scarcity effects through assumed expensiveness, perceived quality, perceived sacrifice and perceived value.     

Consumer choice in online vegetable distribution terminals: A Planned Behavior approach

It is common for consumers nowadays to buy vegetables through online distribution terminals. This paper introduces the variables of perceived risk and terminal image through the Theory of Planned Behavior, and uses structural equations to conduct an empirical study of consumer choice. The results show that: attitude, perceived risk and terminal image have a significant influence on consumers’ terminal behavioral intention, while subjective norms and perceived behavior controls do not; and perceived risk, terminal image and behavioral intention have a significant influence on consumers’ terminal behavioral choice, while attitude does not.     

Linking trust to use intention for technology‐enabled bank channels: The role of trusting intentions

The present research is an attempt to better understand the role of trust in the adoption of technology‐based service channels, namely Internet and phone banking. The study conceptualizes and measures trust, distinguishing the cognitive and affective component of trust (the trusting beliefs), the behavioral component of trust (trusting intentions), and the purchase behavior (intention to use), suggesting a mediating role of trusting intentions. Then it tests a model that combines the effect of trusting beliefs and trusting intentions together with the Technology Acceptance Model variables, privacy, and security as well as individual characteristics. Results from 762 retail bank customers revealed a strong mediating role of trusting intention on the intention to use and similar patterns of relationship for the two technology‐based bank channels. Several implications for managers and further research are discussed. © 2010 Wiley Periodicals, Inc.     

Effects of perceived behavioral control on the consumer usage intention of e‐coupons

To investigate changes that e‐coupons bring to consumers' coupon usage, the authors of this article developed and estimated models of coupon‐usage intention. The models are based on the theory of reasoned action or the theory of planned behavior. Results show that the theory of planned behavior explains e‐coupon usage intention better than the theory of reasoned action. On the other hand, the intention to use traditional coupons is effectively explained by the theory of reasoned action. Both perceived behavioral control and attitude toward Internet searching have significant effects on the intention to use e‐coupons. Also, heavy users of e‐coupons are different from those of traditional coupons. Light users of traditional coupons have relatively high intention to use e‐coupons if they have more access to e‐coupons. On the other hand, heavy users of traditional coupons have relatively low intention to use e‐coupons if they have less access to them. © 2006 Wiley Periodicals, Inc.     

Applying the Extended Theory of Planned Behavior to Predict Sustainable Street Food Patronage in a Developing Economy

With over 2.5 billion daily street food consumers globally, the consumption paradigm of the urban-informal-sector street food is shifting towards sustainable street food (SSF). This has led to the emerging SSF-market segment. The extended Theory of Planned Behavior (e-TPB), which incorporates the past behavior construct, is used to provide preliminary insight by unraveling behavioral predictors. The e-TPB research framework is premised on five key constructs - attitude, subjective norm, perceived behavioral control and past behavior. The framework was tested using primary data collected from 437 street food consumers drawn from three main urban cities in southeast Nigeria. Structural Equation Modeling (SEM) technique was used to analyze data. It is revealed that past behavior/experience does not necessarily connote patronage intention for sustainable street food. This study validates the utility of e-TPB for the prognosis of emerging consumer behavior. Recommendations and implications for marketing-related street food vending strategies are discussed.     

Predicting Unethical Behavior: A Comparison of the Theory of Reasoned Action and the Theory of Planned Behavior

This study is a comparison of the validity of theory of reasoned action and theory of planned behavior as applied to the area of moral behavior (i.e., illegal copying of software) using structural equation modeling. Data were collected from 181 university students on the various components of the theories and used to asses the influence of attitude, subjective norm, and perceived behavioral control on the intention to make unauthorized software copies. Theory of planned behavior was found to be better than the theory of reasoned action in predicting unethical behavior. A modified version of the theory of planned behavior, with a causal path linking subjective norm to attitude, provided a significant improvement on model fit. The results indicated that perceived behavioral control is a better predictor of behavioral intention then attitude. The direct effect of subjective norm on behavioral intention was not significant, but the indirect effect through attitude was highly significant. Applicability of the theory of planned behavior for moral behavior and the implications for future research are discussed.     

Cognitive,Emotional, and Sociocultural Processes in Consumption

This article examines deliberative, emotional, and sociocultural processes in consumption. The authors draw upon basic processes from two leading theories in social psychology, the theory of planned behavior (TPB) and the model of goal‐directed behavior (MGB), to develop a comprehensive approach to decision making more appropriate for many consumption decisions, and revise the representation and modeling of key variables to better reflect how social psychological processes relate to consumer behavior. A survey was conducted among real adult consumers of bacalhau in Portugal. Because it is most common for women to prepare bacalhau meals in Portugal, 153 female participants were recruited for this survey. The results show that the TPB, and especially the MGB, are found to explain food consumption decisions well but only after the approaches are modified in form and content to accommodate the complex emotional and social aspects of the consumption context. The results also show that the effects of key determinants of desire in the MGB are contingent on the traits of food involvement and cultural orientation (i.e., degree of vertical individualism). The approach taken herein overcomes limitations of existing theories by synthesizing relevant processes across two leading theories and by introducing new variables and processes, thereby showing that the organization of these processes and their contingency on cultural variables regulate consumption.     

Antecedents and consequents of consumers not adopting e-commerce

This study investigated the antecedent and consequent factors of the non-adoption behavior of e-commerce, based on the Theory of Planned Behavior (TPB). For the antecedents, this research used the constructs of ‘attitude’, ‘subjective norms’, ‘perceived behavioral control (PBC)’, and ‘intention’. For the consequents, the constructs were ‘negative word-of-mouth’ and ‘disinterest in e-commerce’. The noteworthiness of this study is the investigation of non-adoption of e-commerce and its effects, as adoption behavior of e-commerce is more often studied. In addition, the study explains the resistance behavior of the consumer toward e-commerce through the TPB, which is rarely used for understanding resistance behaviors. Moreover, it explains the antecedents of non-adoption of e-commerce with constructs that reflect the perceptions and beliefs of the individual, which differs from previous studies. A survey was conducted with 260 people who stated they did not buy through e-commerce. To analyze the data, we used structural equation modeling with PLS. The results showed that the construct intention is positively influenced by the constructs attitude and PBC. Behavior was positively influenced by both intention and PBC and was the influencer of two consequent behaviors: negative word-of-mouth and disinterest in e-commerce. We observed no statistical significance between subjective norms and intention when considering the control variables. This research brings relevant information that can help e-commerce companies develop strategies specially aimed at reaching consumers resistant to online shopping.     

Shifts in consumer behavior towards organic products: Theory-driven data analytics

Consumer behavior is key in shifts towards organic products. A diversity of factors influences consumer preferences, driving planned, impulsive, and unplanned purchasing decisions. We study choices among organic and conventional wine using an extensive survey among Australian consumers (N = 1003). We integrate five behavioral theories in the survey design, and use supervised and unsupervised machine learning algorithms for analysis. We quantify a gap between intention and behavior, and emphasize the importance of cognitive factors. Findings go beyond correlation to the causation of behavior when combining predictive prowess with explanatory power. Results reveal that affective factors and normative cues may prompt unplanned and spontaneous purchasing behavior, causing consumers to act against their beliefs.