消费者购买决策:选择影响消费者决策的营销策略

Diyar Abdulmajeed Jamil, Rozhgar Khorsheed Mahmood, Zaid Saad Ismail, S. J. Jwmaa, S. Younus, Baban Jabbar Othman, M. Rashad, Idrees Sadeq Kanabi
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引用次数: 0

摘要

本研究的目的是调查营销策略在消费者决策过程中扮演的决定性因素的作用。目前的研究利用了定量研究方法,根据从学术来源收集的信息定制了一份问卷。这项特殊的研究有162名参与者,他们都是在选择过程中随机选择的。研究发现,在5%的水平下,渗透定价对消费者的决策过程产生了实质性的有益影响。研究发现,在5%的水平上,撇价对消费者的决策过程具有实质性的有利影响。根据研究结果,在5%的水平上,营销分享网站对消费者的决策过程产生了相当大的有益影响。研究结果表明,在5%的水平上,博客对消费者的决策过程有相当大的有益影响。根据研究结果,在5%的水平上,竞争性价格对消费者的选择过程产生了实质性的有利影响。此外,每个beta值都超过。001年阈值。所有的模型都有极高的调整后R2,这表明模型非常能够解释由自变量的变化引起的消费者决策的方差。f值表明解释变量在模型中具有联合统计显著性,Durbin-Watson (DW)统计量表明模型中存在自相关。这两个发现都得到了模型正自相关的支持。
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Consumer Purchasing decision: Choosing the Marketing Strategy to influence consumer decision making
The purpose of this study was to investigate the role that marketing strategy plays as a determining element in the decision-making process of consumers. The current study made use of the quantitative research approach by customizing a questionnaire based on information gleaned from academic sources. This particular study had a sample size of 162 participants, all of whom were selected at random throughout the selection process. According to the findings, penetration pricing exerts a substantial and beneficial impact on the decision-making process of consumers at the 5% level. According to the findings, price skimming has a substantial and favorable effect on the decision-making process of consumers at the 5% level. According to the findings, marketing sharing websites have a considerable beneficial impact on the decision-making process of consumers at the 5% level. The findings indicate that blogs have a considerable and beneficial effect on the decision-making process of consumers at the 5% level. According to the findings, competitive pricing has a substantial and favorable impact on the choice-making process of consumers at the 5% level. Furthermore, every beta value exceeds the.001 threshold. All of the models have extremely high adjusted R2, which indicates that the models are very capable of explaining the variance in consumer decision-making that is caused by the variation in the independent variables. The F-value demonstrates that the explanatory variables are jointly statistically significant in the model, and the Durbin-Watson (DW) statistics demonstrate that there is autocorrelation in the models. Both of these findings are supported by the model's positive autocorrelation.
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