Diyar Abdulmajeed Jamil, Rozhgar Khorsheed Mahmood, Zaid Saad Ismail, S. J. Jwmaa, S. Younus, Baban Jabbar Othman, M. Rashad, Idrees Sadeq Kanabi
{"title":"Consumer Purchasing decision: Choosing the Marketing Strategy to influence consumer decision making","authors":"Diyar Abdulmajeed Jamil, Rozhgar Khorsheed Mahmood, Zaid Saad Ismail, S. J. Jwmaa, S. Younus, Baban Jabbar Othman, M. Rashad, Idrees Sadeq Kanabi","doi":"10.22161/jhed.4.6.4","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":415377,"journal":{"name":"Journal of Humanities and Education Development","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Humanities and Education Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22161/jhed.4.6.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.