Values lie at the heart of an individual's belief system, serving as prototypes from which attitudes and behaviors are subsequently manufactured. Attitudes and behaviors may evolve over time, but values represent a set of more enduring beliefs. This study examines the influence of values on travel mode choice behavior. It is argued that personal values influence individual attitudes towards different alternative attributes, which in turn impact modal choices. Using data from a sample of 519 German commuters drawn from a consumer panel, the study estimates an integrated choice and latent variable model of travel mode choice that allows for hierarchical relationships between the latent variables and flexible substitution patterns across the modal alternatives. Results from the empirical application support the value-attitude-behavior hierarchical model of cognition, and provide insights to planners and policy-makers on how better to sell public transit as a means of travel.Electronic supplementary material The online version of this article (
Integrated choice and latent variable (ICL V) models represent a promising new class of models which merge classic choice models with the structural equation approach (SEM) for latent variables. Despite their conceptual appeal, applications of ICLV models in marketing remain rare. We extend previous ICL V applications by first estimating a multinomial choice model and, second, by estimating hierarchical relations between latent variables. An empirical study on travel mode choice clearly demonstrates the value of ICL V models to enhance the understanding of choice processes. In addition to the usually studied directly observable variables such as travel time, we show how abstract motivations such as power and hedonism as well as attitudes such as a desire for flexibility impact on travel mode choice. Furthermore, we show that it is possible to estimate such a complex ICLV model with the widely available structural equation modeling package Mplus. This finding is likely to encourage more widespread application of this appealing model class in the marketing field.
Explicating and specifying the origins of brand love, as well as how it affects consumer behavior, establishes vital insights into how brand managers might reap favorable economic consequences from promoting brand love effectively. Therefore, this article presents and validates a holistic, causal model of brand love that accounts for brand stimulus features and the internal, mental processes of consumers, along with the behavioral outcomes of their resulting brand love. Using both qualitative and quantitative approaches, the authors propose and test seven antecedents (including three mediators) and four consequences: Functional and sensory brand uniqueness emerge as indirect antecedents of brand love; brand satisfaction, brand fit with the inner self, and personal experiences are direct antecedents. Contrary to expectations, communicative uniqueness and brand pleasure are not influential factors. This study also verifies four desirable behavioral consequences of brand love: brand loyalty, willingness to pay a price premium, word-of-mouth intentions, and forgiveness of brand mistakes. These findings offer several theoretical and managerial implications.
Die Diskussion um die korrekte Spezifikation von Messmodellen im Marketing hat gezeigt, dass viele theoretische Konzepte formativer statt reflektierender Natur sind. Orientiert sich die Skalenentwicklung für diese Konstrukte an reflektierenden Messmodellen, so kann dies zu stark verzerrten Ergebnissen führen. Während für reflektierend gemessene Konstrukte die Kovarianzstrukturanalyse das Standardinstrument für die Schätzung darstellt, scheint sich der Partial-Least-Squares-Ansatz (PLS) als dominierendes Analysetool für Strukturgleichungsmodelle mit formativen Konstrukten zu etablieren. Ein wichtiger Treiber dieser Entwicklung ist vermutlich die weit verbreitete Auffassung, der "LISREL"-Ansatz sei nicht in der Lage, Modelle mit derartigen Konstrukten zu schätzen. Zwar werfen formative Messmodelle im Rahmen der Kovarianzstrukturanalyse ganz spezifische Identifikationsprobleme auf, diese lassen sich jedoch vielfach lösen. Aufgrund der Tatsache, dass der "LISREL"-Ansatz-trotz gewisser Nachteile gegenüber PLS-spezifische Stärken (z. B. bei der Modellbeurteilung) besitzt, sollten Forscher den Einsatz dieser Methodik auch bei Strukturgleichungsmodellen mit formativen Konstrukten in das Kalkül ziehen.
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