Knowledge that Transforms

Trust is one of the highly important concepts of consumer research; yet it is characterized by a striking lack of generalizations and consensus regarding the relative strength of its antecedents, consequences, and moderators. To close this important gap, the current research reports a comprehensive large-scale meta-analysis shedding light on a wide variety of the antecedents, consequences, and moderators of the individual consumer’s trust and their relative importance. Empirical generalizations are based on 2,147 effect sizes from 549 studies across 469 manuscripts in numerous disciplines, representing a total of 324,834 respondents in 71 countries over a five-decade span (1970–2020). The key findings are thus that (1) integrity-based (vs. reliability-based) antecedents are more effective in driving trust, and (2) trust is more effective in improving primarily attitudinal (vs. primarily behavioral) outcomes. Moderation analyses unpack further heterogeneity. Notably, both integrity-based and reliability-based antecedents have become stronger drivers of consumer trust in recent years. Theoretical and practical contributions are discussed in addition to advancing important future directions.

Four decades of research into the influences of time pressure on risky decisions have produced widely contrasting findings: 38.5% of the effects indicate that time pressure increases risk preferences, whereas 61.5% show the opposite. A theoretical framework with four conceptual categories of moderators is proposed to explain these heterogeneous findings: nature of the time constraint, negative outcome salience, negative outcome severity, and vulnerability to the outcomes. This framework is tested through a meta-analysis of 213 effect sizes reported in 83 papers, representing 65,574 unique respondents. The four categories of moderators effectively resolve notable conflicts. For example, regarding the nature of the time constraint, an absolute versus relative constraint increases risk preferences, but an ambiguous versus objective constraint decreases risk preferences. In terms of negative outcome salience, risk preferences decrease if the risk is learned about from a description (vs. experience) or the outcome is framed as a loss (vs. gain). Negative outcome severity also exerts an effect, as discrete choices lower risk preferences compared with attitudinal risk. In addition to managerial and public policy implications based on simulations, a comprehensive research agenda that builds on the robust insights of this meta-analysis is offered.

A wealth of consumer research has proposed an experiential advantage: consumers yield greater happiness from purchasing experiences compared to material possessions. While this research stream has undoubtedly influenced consumer research, few have questioned its limitations, explored moderators, or investigated filedrawer effects. This has left marketing managers, consumers, and researchers questioning the relevance of the experiential advantage. To address these questions, the authors develop a model of consumer happiness and well-being based on psychological needs (i.e., autonomy, relatedness, self-esteem, and meaningfulness), and conduct an experiential advantage meta-analysis to test this model. Collecting 360 effect sizes from 141 studies, the meta-analysis supports the experiential advantage (d = 0.383, 95% CI [0.336, 0.430]), of which approximately a third of the effect may be attributable to publication bias. The analysis finds differential effects depending on the type of dependent measure, suggesting that the experiential advantage may be more tied to relatedness than to happiness and willingness to pay. The experiential advantage is reduced for negative experiences, for solitary experiences, for lower socioeconomic status consumers, and when experiences provide a similar level of utilitarian benefits relative to material goods. Finally, results suggest future studies in this literature should use larger sample sizes than current practice.

To advance understanding of how well different types of brand relationships drive customer brand loyalty and to help companies improve the effectiveness of their relationship-building investments, this article conducts a meta-analysis of the link between five consumer-brand relationship constructs and customer brand loyalty. The analysis of 588 elasticities from 290 studies reported in 255 publications over 24 years (n = 348,541 across 46 countries) reveals that the aggregate brand relationship elasticity is .439. More importantly, results demonstrate under what conditions various types of brand relationships increase loyalty. For example, while elasticities are generally highest for love-based and attachment-based brand relationships, the positive influence of brand relationships on customer brand loyalty is stronger in more recent (vs. earlier) years, for nonstatus (vs. status) and publicly (vs. privately) consumed brands, and for estimates using attitudinal (vs. behavioral) customer brand loyalty. Overall, the results suggest that brand relationship elasticities vary considerably across brand, loyalty, time, and consumer characteristics. Drawing on these findings, the current research advances implications for managers and scholars and provide avenues for future research.

Stories, and their ability to transport their audience, constitute a central part of human life and consumption experience. Integrating previous literature derived from fields as diverse as anthropology, marketing, psychology, communication, consumer, and literary studies, this article offers a review of two decades worth of research on narrative transportation, the phenomenon in which consumers mentally enter a world that a story evokes. Despite the relevance of narrative transportation for storytelling and narrative persuasion, extant contributions seem to lack systematization. The authors conceive the extended transportation-imagery model, which provides not only a comprehensive model that includes the antecedents and consequences of narrative transportation but also a multidisciplinary framework in which cognitive psychology and consumer culture theory cross-fertilize this field of inquiry. The authors test the model using a quantitative meta-analysis of 132 effect sizes of narrative transportation from 76 published and unpublished articles and identify fruitful directions for further research.

The effects of repeated advertising exposures depend on the size of the interval, or space, between ad exposures. A meta-analysis of 97 verbal learning studies identified several stimulus characteristics and learning context factors that interact with stimulus spacing to facilitate memory for repeated information. The majority of the findings are consistent with the predictions of two enhanced processing explanations of learning—the retrieval hypothesis and the reconstruction hypothesis. These two hypotheses predict that an effective repetition strategy should encourage incidental processing during one presentation of the material and intentional processing during the other presentation of the material, but the hypotheses differ about the optimal order of these two types of processing. Thus, the most effective repetition strategy may be a combination of spaced exposures that alternate in terms of media that are involving (e.g., television commercials) and less involving (e.g., billboards, product placements).

Despite some limitations, Cronbach's coefficient alpha remains the most widely used measure of scale reliability. The purpose of this article was to empirically document the magnitudes of alpha coefficients obtained in behavioral research, compare these obtained values with guidelines and recommendations set forth by individuals such as Nunnally (1967, 1978), and provide insights into research design characteristics that may influence the size of coefficient alpha. Average reported alpha coefficients ranged from .70 for values and beliefs to .82 for job satisfaction. With few exceptions, there were no substantive relationships between the magnitude of coefficient alpha and the research design characteristics investigated.

Two meta-analyses were conducted to Investigate the effectiveness of the Fishbein and Ajzen model in research to date. Strong overall evidence for the predictive utility of the model was found. Although numerous instances were identified in which researchers overstepped the boundary conditions initially proposed for the model, the predictive utility remained strong across conditions. However, three variables were proposed and found to moderate the effectiveness of the model. Suggested extensions to the model are discussed and general directions for future research are given.

An investigation was undertaken to empirically document effect sizes (i.e., the strength of a relationship or the magnitude of a difference between variables) in consumer behavior experiments reported in the literature during the period 1970–1982. A total of 118 experiments and 1,036 experimental effects was analyzed. Using ω2 as a measure of effect size, the investigation's results reveal that, on average, approximately 11 percent of the variance in a response variable was explained or accounted for by a statistically significant (p ≤ 0.05) effect. This percentage, however, differed as a function of the methodological characteristics of the experiment.