During the previous decade, an ever augmenting studies have been apprehensive with predicting the probability that an individual will decide an exacting alternative from amongst all probable alternatives, given the location of the individual and the locations and distinctiveness of the alternatives (Kenneth, 2003). Previous studies have adopted a diversity of model arrangements to undertake this research difficulty in the context of spatial shopping behavior. For instance, a number of researchers have employed the revealed preference technique, which efforts preliminary to draw from preference structures by scaling a parallel matrix of location kinds and subsequently, narrates these preference structures to obvious preference probabilities by some mathematical function or decision rule. Though obvious differences exist among these a variety of approaches that researches have utilized to foresee consumer decision making and behavior, they all have in general that the functional form of the utility expression in the model is incidental from data on observed spatial choice behavior (Foxall, 2005).
Consequently, scholars of the present period have shown increased concern for determining the way in which consumers form preferences in laboratory experiments (Kenneth, 2003). The consumer decision making procedure is concerned with buying processes and the phase in which a purchaser might be concerned when making purchases (Kenneth, 1998). These phases are usually referred to in intricate models of consumer buyer behavior as crisis recognition, information investigates information assessment, purchase decisions, and post-purchase evaluation (Wansink, 2006).
In this part of the paper, I will demonstrate that how the consumers identify the problem and recognize their needs: Problem recognition took place when a customer recognizes a buying difficulty or purpose, an unsatisfied or unfilled require .(Kenneth, 2003). .