Consumer behavior dynamics of chinese minorities

Purpose – Meat consumption decisions within a religious context can differ significantly from purchase decisions where religion does not play a key role. The purpose of this study is to investigate the determinants of Halal meat consumption within a Chinese Muslim population using the “marketing theory of planned behavior”. The role of self-identity as a Muslim and dietary acculturation in the host culture is investigated. Design/methodology/approach – The study is based on a questionnaire survey. Cross-sectional data were collected through a survey of 368 Muslim participants, mainly from Xinjiang province in China. Data were analyzed by a series of regression analyses to test the model and the moderating effects of self-identity and dietary acculturation on behavioral intention. Findings – The results indicate that motivation to comply with religious requirements, and personal conviction, have a positive attitude toward behavioral intention to consume Halal meat. However, perceived control has a negative relationship with behavioral intention to eat Halal meat among Muslims. Results also show that in general, Halal meat consumption is determined by the pressure of others, personal conviction, and the perceived control. Practical implications – For marketing managers, Muslims with a low Muslim identity can be motivated to buy Halal meat by communicating through slogans that focus on the individual’s opportunity to make his or her own choice(s). Originality/value – This paper will prove valuable to food-policy decision makers and food marketers, who might pursue identity and/or acculturation-related strategies in their distribution and communication efforts targeting the growing Halal food market segment in China and globall

Modeling behavior dynamics using computational psychometrics within virtual worlds

In case of fire in a building, how will people behave in the crowd? The behavior of each individual affects the behavior of others and, conversely, each one behaves considering the crowd as a whole and the individual others. In this article, I propose a three-step method to explore a brand new way to study behavior dynamics. The first step relies on the creation of specific situations with standard techniques (such as mental imagery, text, video, and audio) and an advanced technique [Virtual Reality (VR)] to manipulate experimental settings. The second step concerns the measurement of behavior in one, two, or many individuals focusing on parameters extractions to provide information about the behavior dynamics. Finally, the third step, which uses the parameters collected and measured in the previous two steps in order to simulate possible scenarios to forecast through computational models, understand, and explain behavior dynamics at the social level. An experimental study was also included to demonstrate the three-step method and a possible scenario

Dynamic modeling of web purchase behavior and e-mailing impact by Petri net

In this article, the authors introduce Petri nets to model the dynamics of web site visits and purchase behaviors in the case of wish list systems. They describe web site activities and their transition with probability distributions and model the sequential impact of influential factors through links that better explain web purchase behavior dynamics. The basic model, which analyzes site connections and purchases to explain visit and purchase behavior, performs better than a classical negative binomial regression model. To demonstrate its flexibility, the authors extend the wish list Petri net model to measure the impact of e-mailing intervals on visit frequency and purchase.internet; wish list; e-mail; Petri net; dynamic model