Prioritizing the effective factors of time on consumer behavior with emphasis on industrial goods with a combined approach of DEMATEL and fuzzy ANP

Time is a key structural component of our lives and the world. It is therefore not surprising that consumers engage in their daily consumption choices and activities with multiple time orientations - past, present and future. In industrial procurement, information retrieval describes the action that a buyer takes to access all relevant information sources for a purchasing decision, often involving data from a variety of sources in which time plays a more effective role. Therefore, the purpose of this study is to evaluate the effect of time on consumer behavior with emphasis on industrial goods.

This research has used a combined approach to investigate the effects of time on consumer behavior. The research method is a one-way mix for collecting and analyzing quantitative and qualitative data in a study or a set of studies that is based on the priority and sequence of information. In this research, first the qualitative approach is then quantitative. To solve the research problem in the qualitative stage, the meta-combined approach has been used.

In this study, the seven-step method of Sandlowski and Barroso (2007) was used, which finally presented the effects of time on consumer behavior in three psychological, economic and social dimensions. Psychological dimension including 11 components, economic dimension 7 components and social dimension 6 components were identified. In this paper, the prioritization of the identified components of meta-combination with two approaches of Demetel and ANP is presented and 12 experts were used to determine the sub-criteria.

The results of the study can be a guide for marketers and marketing managers, and by considering the components identified in this study, they can take a big step in advancing their goals and pave the way for achieving the goals.