Improving the Store Environment: Do Olfactory Cues Affect Evaluations and Behaviors?:

TL;DR: In this article, the authors propose a comprehensive store choice model that includes three types of store environment cues (social, design, and ambient) as exogenous constructs, various store choice criteria (including shopping experience costs that heretofore have not been included in store choice models) as mediating constructs, and store patronage intentions as the endogenous construct.

TL;DR: A review of the literature on the effects of facility-based environmental cues or "atmospherics" on buyer behavior can be found in this paper, where the authors identify gaps in the literature and suggest potential future topics for atmospheric related research.

TL;DR: In this article, a conceptual model is proposed which examines the potential influence of atmospheric qualities of a virtual store, and two individual traits, involvement and atmospheric responsiveness, are hypothesized to moderate the relationship between atmospheric cues and shoppers' affective and cognitive reactions.

TL;DR: Sensory marketing as discussed by the authors is defined as marketing that engages the consumers' senses and affects their perception, judgment and behavior, which can be used to create subconscious triggers that characterize consumer perceptions of abstract notions of the product (e.g., its sophistication or quality).

Abstract: Contents: Preface. Introduction. Bivariate Correlation and Regression. Multiple Regression/Correlation With Two or More Independent Variables. Data Visualization, Exploration, and Assumption Checking: Diagnosing and Solving Regression Problems I. Data-Analytic Strategies Using Multiple Regression/Correlation. Quantitative Scales, Curvilinear Relationships, and Transformations. Interactions Among Continuous Variables. Categorical or Nominal Independent Variables. Interactions With Categorical Variables. Outliers and Multicollinearity: Diagnosing and Solving Regression Problems II. Missing Data. Multiple Regression/Correlation and Causal Models. Alternative Regression Models: Logistic, Poisson Regression, and the Generalized Linear Model. Random Coefficient Regression and Multilevel Models. Longitudinal Regression Methods. Multiple Dependent Variables: Set Correlation. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.

TL;DR: In this paper, the authors proposed that environmental stimuli are linked to behavioral responses by the primary emotional responses of arousal, pleasure, and dominance, and used information rate to compare the effects of different environments, each with stimulation in many sense modalities.

TL;DR: A typology of service organizations is presented and a conceptual framework is advanced for exploring the impact of physical surroundings on the behaviors of both customers and employees as mentioned in this paper, where the authors propose a typology for service organizations.

TL;DR: Experiments in which happy or sad moods were induced in subjects by hyp- notic suggestion to investigate the influence of emo- tions on memory and thinking found that subjects exhibited mood-state-dependent memory in recall of word lists, personal experiences recorded in a daily diary, and childhood experiences.