Purchasing Under the Influence of Alcohol: The Impact of Hazardous and Harmful Patterns of Alcohol Consumption, Impulsivity, and Compulsive Buying.

The current research examined how hazardous and harmful patterns of alcohol consumption, problematic online shopping when drinking alcohol, impulsivity, and compulsive buying were associated with and predicted the frequency of making purchases while under the influence of alcohol. A sample of American adults between the ages of 25 and 64 who reported having at least one drink per week over the past 6 months were surveyed. Regression-based path modeling revealed for those who made online purchases while moderately intoxicated, hazardous and harmful patterns of drinking alcohol and, problematic online shopping when drinking alcohol, predicted the frequency of making purchases while intoxicated.

On the Unstructured Big Data Analytical Methods in Firms: Conceptual Model, Measurement, and Perception.

Firms face challenging analytical tasks at the advent of a growing amount of unstructured big data (BD). These data lead to radical shifts in their analytical strategies and market insights. Yet, the particular types of analytical methods remain in the literature still loosely scattered.

Toward the Extension of Antecedents of Compulsive Buying: The Influence of Personal Values Theory.

Although a great deal of research has been conducted on compulsive buying, little if any, research has explored compulsive buying from a wider theoretical perspective, encompassing all types of values as potential drivers of compulsive buying. In particular, no comprehensive research has been conducted in the diagnosis of mechanisms that direct the development of compulsive buying from the perspective of personal values theory. Thus, the objective of the current research was to explore compulsive buying within Schwartz's value model, as well as examining the role particular values play as predictors of compulsive buying.

An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences.

This paper is a tribute to researchers who have significantly contributed to improving and advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and presents its beginnings, historical development, its usefulness in the social sciences and the statistical and philosophical (theoretical) controversies which have often appeared in the literature pertaining to SEM. Having described the essence of SEM in the context of causal analysis, the author discusses the years of the development of structural modeling as the consequence of many researchers' systematically growing needs (in particular in the social sciences) who strove to effectively understand the structure and interactions of latent phenomena.