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Many consumer-focused corporate social responsibility (CSR) studies suggest a positive link between the responsibility demonstrated by a company and consumers’ intention to favor the company in their purchases. Yet an analogous causal effect between corporate social and financial performances is not evident. This chapter conceptualizes how social desirability and cynicism contribute to the discrepancy between consumers’ attitudes and their actual purchase behavior, and analyzes why consumer choices indicated in surveys do not consistently convert into actions.

We develop a conceptual framework based on hybrid choice modeling to estimate the impact of two new variables, Corporate Social Desirability and Corporate Social Cynicism, on CSR research. The model presented synthesizes research findings from the fields of CSR and psychology with a discrete choice methodology that allows inclusion of psychological aspects as latent variables.

The goal of the framework is to bridge the gap between choices stated by consumers in CSR surveys and their actual choices by quantifying and extracting the effects of biases that otherwise threaten the validity of such survey results. As the next step, the practical value of the model must be evaluated through empirical research combining a CSR choice study with social desirability and cynicism measurement.

The framework proposes a novel way of controlling CSR surveys for potential biases created by social desirability and cynicism and enables quantification of this impact, with potential application to other fields where psychological aspects may distort research results. Future empirical evidence based on the framework may also offer new insights into the mechanisms by which the two biases distort findings.

Independent travelers are those vacationers who have booked only a minimum of their transportation and accommodation arrangements prior to departure on the vacation. Independent travel is an important and growing sector of worldwide tourism. Choice of vacation itinerary for the independent vacation represents a complex series of decisions regarding purchase of multiple leisure and tourism services. This chapter builds and tests a model of independent traveler decision-making for choice of vacation itinerary. The research undertaken employs a two-phase, inductive–deductive case study design. In the deductive phase, the researcher interviewed 20 travel parties vacationing in New Zealand for the first time. The researcher interviewed respondents at both the beginning and the end of their New Zealand vacations. The study compares pre-vacation research and plans, and actual vacation behaviors, on a case-by-case basis. The study examines case study narratives and quantitative measures of crucial variables. The study tests two competing models of independent traveler decision-making, using a pattern-matching procedure. This embedded research design results in high multi-source, multi-method validity for the supported model. The model of the Independent Vacation as Evolving Itinerary suggests that much of the vacation itinerary experienced in independent travel is indeed unplanned, and that a desire to experience the unplanned is a key hedonic motive for independent travel. Rather than following a fixed itinerary, the itinerary of an independent vacation evolves as the vacation proceeds. The independent traveler takes advantage of serendipitous opportunities to experience a number of locations, attractions and activities that they had neither actively researched nor planned.

Previous research has concluded that there is consumer desire for nutrition information to be provided on restaurant menu items and restaurant customers presented with this information will make healthier menu choices (Mills & Thomas, 2008). Limited research has been performed in a restaurant setting measuring real rather than intended behavior. The purpose of this research experiment is to measure consumer response, in a full-service restaurant setting, to nutrition information on menu items and subsequently determine if consumers will use this information in their menu item choice. An experiment was conducted with 264 restaurant customers at a full-service a la carte restaurant. Customers chose from menu items labeled with or without a Healthy Choice® label. A logistic regression model was used to predict whether people would choose Healthy Choice menu items. Fifty-four percent of restaurant customers chose the healthy choice menu item. The logistic regression confirms that those people who desire nutrition information also use this information in their menu choice. The study concludes with recommendations for the industry on directing consumer menu choice toward healthier items.

The choice overload (CO) phenomenon, whereby having many options leads to negative consequences, has been studied widely in psychology and marketing. However, empirical evidence of CO in the tourism context is limited, even though people often encounter numerous choices (e.g., vacation destinations, airfares, hotels, tours) at different stages when planning their holidays. Investigating CO in tourism and hospitality is important because (online) travel advisors are providing tourists with numerous choices, yet they do not know whether or not these decision makers are content after choosing from these large choice sets. This chapter proposes to review and apply insights garnered from the CO literature to tourism research. Accordingly, the chapter proposes five groups of solutions for tourists and travel advisors to avoid CO effects: reducing decision task difficulty, reducing choice-set complexity, reducing preference uncertainty, focusing on decision goals rather than the means to achieve those goals, and adopting appropriate decision-making styles.

Purpose – The purpose of this chapter is to examine the connection between actual variety (the number of stock-keeping units (SKUs)) and amount of useable variety that the consumer perceives. The optimal combination for a retailer is to offer an assortment that maximizes the perceived assortment variety while minimizing the perceived inter-item complexity. Both measures are a function of the actual variety offered in an assortment but other factors such as attribute structure of the individual items, assortment organization, and individual differences can alter the way the actual variety is perceived.Design/methodology/approach – The main methodology used in the chapter is a comprehensive, critical literature review of the empirical research on the topic.Findings – We find that while assortments with a large number of SKUs are desirable for attracting consumers to the category, too large assortments can result in consumer frustration and confusion. On the other hand, when assortments are small, the perceived variety or attention to the category may be limited.Value/originality – Our review shows ways a retailer can adapt to these challenges. First, we show that assortments are viewed in stages. In the first stage, high perceptions of variety are beneficial. When assortments are small, increasing perceived variety can be accomplished by increasing the number of subcategories within the assortment, adding in packaging cues, or using other emotional affective descriptors to further define options within the assortment. In the second or choice stage, too much variety can increase perceived complexity. Perceived complexity at this stage can be reduced by simplifying the complexity of the individual items within the assortment by increasing alignability of attributes, using a simplifying external organizational structure for the assortment, or helping consumers learn their preference.