Service brand coolness in the construction of brand loyalty: A self-presentation theory approach

As service brands need to find new methods to overcome consumers' distrust of physical spaces in the post-COVID-19 era, we explore how niche and mass service brands can recover their experiential value through perceptions of coolness. In three studies, we evaluate service brand coolness and its consequences for communal–brand connection and loyalty. In Studies 1 and 2, we examine consumers’ thoughts on coolness and communal connection when describing their encounters with service brands. In Study 3, we test the relations among service brand coolness, communal–brand connection, and loyalty. Our findings show that for both niche and mass firms, service brand coolness similarly enhances communal–brand connection and loyalty.     

Estimating choice models in data-sparse environments: Taking advantage of perceived similarity

Research suggests that choice models conditioned on correctly identified consideration sets outperform choice models conditioned on the awareness set (Hauser, 1978; Roberts and Lattin, 1991). However, in data-sparse environments, where purchase history information is not available or not relevant, choice models conditioned on the consideration set often yield nonunique or nonsignificant solutions. In these environments, we propose the use of similarity information to improve the performance of choice models. Support for this position is found in an empirical application involving automobiles.     

Modeling preference evolution in discrete choice models: A Bayesian state-space approach

We develop discrete choice models that account for parameter driven preference dynamics. Choice model parameters may change over time because of shifting market conditions or due to changes in attribute levels over time or because of consumer learning. In this paper we show how such preference evolution can be modeled using hierarchial Bayesian state space models of discrete choice. The main feature of our approach is that it allows for the simultaneous incorporation of multiple sources of preference and choice dynamics. We show how the state space approach can include state dependence, unobserved heterogeneity, and more importantly, temporal variability in preferences using a correlated sequence of population distributions. The proposed model is very general and nests commonly used choice models in the literature as special cases. We use Markov chain monte carlo methods for estimating model parameters and apply our methodology to a scanner data set containing household brand choices over an eight-year period. Our analysis indicates that preferences exhibit significant variation over the time-span of the data and that incorporating time-variation in parameters is crucial for appropriate inferences regarding the magnitude and evolution of choice elasticities. We also find that models that ignore time variation in parameters can yield misleading inferences about the impact of causal variables. This paper is based on the first author's doctoral dissertation.     

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.     

Foreign market entry mode choice of small and medium-sized enterprises: A systematic review and future research agenda

Despite significant differences between small and medium-sized enterprises (SMEs) and large multinational enterprises (MNEs), the majority of extant foreign market entry mode choice literature has focused on MNEs. The current state of knowledge regarding SME foreign market entry mode choice is equivocal. The present paper reviews the current state of SME foreign market entry mode choice literature and maps future research directions. To this end, we systematically analyze 33 relevant journal articles for their theoretical frameworks and contextual dimensions. Based on this review, we identify gaps in the literature and develop an agenda to guide future scholarship in this important domain of research in taking SME-specific characteristics into consideration.     

Segmenting consumer decision-making styles (CDMS) toward marketing practice: A partial least squares (PLS) path modeling approach

The way consumers make decisions across online and offline channels according to their perceptions of retailers׳ marketing practices is not well understood in the current literature. A few empirical studies have examined consumer decision-making styles (CDMS) and marketing practice among online and shopping mall consumers. This research endeavors to understand CDMS as market segments on the perception of marketing practice across retail channels. A total of 315 online and paper–pencil-questionnaires were collected to conduct the statistical analysis for the measurement and structural model using the partial least squares (PLS) path modeling approach, a structural equation modeling (SEM) technique. Six consumers׳ characteristics–perfectionist, brand consciousness, price conscious, fashion conscious, recreational and impulsive shoppers–were assessed in respect of retail products, price, advertising and retailing across-channels. The study contributes to retailing management by enabling it to implement effective retail segmentation and cross-channel strategy according to CDMS. The study limitations and implications are discussed.