{"title":"数字营销、网红营销和电子口碑(eom)对西爪哇万隆私立大学生消费者在线购买决策的作用","authors":"D. Munandar","doi":"10.29099/ijair.v6i1.298","DOIUrl":null,"url":null,"abstract":"The purpose of this study is to analyze the relationship of digital marketing to online purchasing decisions, Influencer Marketing to online purchasing decisions, electronic word of mouth (eWOM) to online purchasing decisions on consumers of private university students in Bandung. A quantitative approach is used in this study. This study used an online questionnaire as a primary data collection tool. Data were analyzed using descriptive statistical analysis, and PLS-PM (Partial Least Square-Path Modeling) with SmartPLS 3.0 software. The analysis was carried out on two submodels, namely the measurement model or the outer model and the structural model (structural model) or the inner model. The outer model shows how the manifest variable represents the latent variable it measures, while the inner model shows the power of estimation between latent variables. Goodness of fit structural model in PLS analysis is in the form of predictive-relevance value (Q2), which is calculated based on the coefficient of determination (R2) of each endogenous variable. Objects that will be used as respondents in this study are consumers who use e-commerce, namely consumers of private university students in Bandung. The variables observed in this study were digital marketing, influencer marketing and e-WOM. The number of samples was 190 consumer respondents from private universities in Bandung, the sampling technique used was purposive sampling. The respondent's criteria is that they have transacted using e-commerce. Collecting data by distributing questionnaires conducted online through social media to respondents. The results of this study are digital marketing has a positive effect on online purchasing decisions, Influencer marketing has a positive effect on online purchasing decisions, Electronic Word of Mouth (eWOM) has a positive effect on online purchasing decisions. ","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Role of Digital Marketing, Influencer Marketing and Electronic Word of Mouth (eWOM), on Online Purchase Decisions for Consumers of Private University Students in Bandung West Java\",\"authors\":\"D. Munandar\",\"doi\":\"10.29099/ijair.v6i1.298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study is to analyze the relationship of digital marketing to online purchasing decisions, Influencer Marketing to online purchasing decisions, electronic word of mouth (eWOM) to online purchasing decisions on consumers of private university students in Bandung. A quantitative approach is used in this study. This study used an online questionnaire as a primary data collection tool. Data were analyzed using descriptive statistical analysis, and PLS-PM (Partial Least Square-Path Modeling) with SmartPLS 3.0 software. The analysis was carried out on two submodels, namely the measurement model or the outer model and the structural model (structural model) or the inner model. The outer model shows how the manifest variable represents the latent variable it measures, while the inner model shows the power of estimation between latent variables. Goodness of fit structural model in PLS analysis is in the form of predictive-relevance value (Q2), which is calculated based on the coefficient of determination (R2) of each endogenous variable. Objects that will be used as respondents in this study are consumers who use e-commerce, namely consumers of private university students in Bandung. The variables observed in this study were digital marketing, influencer marketing and e-WOM. The number of samples was 190 consumer respondents from private universities in Bandung, the sampling technique used was purposive sampling. The respondent's criteria is that they have transacted using e-commerce. Collecting data by distributing questionnaires conducted online through social media to respondents. The results of this study are digital marketing has a positive effect on online purchasing decisions, Influencer marketing has a positive effect on online purchasing decisions, Electronic Word of Mouth (eWOM) has a positive effect on online purchasing decisions. \",\"PeriodicalId\":334856,\"journal\":{\"name\":\"International Journal of Artificial Intelligence Research\",\"volume\":\"38 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Artificial Intelligence Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.29099/ijair.v6i1.298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Artificial Intelligence Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29099/ijair.v6i1.298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Role of Digital Marketing, Influencer Marketing and Electronic Word of Mouth (eWOM), on Online Purchase Decisions for Consumers of Private University Students in Bandung West Java
The purpose of this study is to analyze the relationship of digital marketing to online purchasing decisions, Influencer Marketing to online purchasing decisions, electronic word of mouth (eWOM) to online purchasing decisions on consumers of private university students in Bandung. A quantitative approach is used in this study. This study used an online questionnaire as a primary data collection tool. Data were analyzed using descriptive statistical analysis, and PLS-PM (Partial Least Square-Path Modeling) with SmartPLS 3.0 software. The analysis was carried out on two submodels, namely the measurement model or the outer model and the structural model (structural model) or the inner model. The outer model shows how the manifest variable represents the latent variable it measures, while the inner model shows the power of estimation between latent variables. Goodness of fit structural model in PLS analysis is in the form of predictive-relevance value (Q2), which is calculated based on the coefficient of determination (R2) of each endogenous variable. Objects that will be used as respondents in this study are consumers who use e-commerce, namely consumers of private university students in Bandung. The variables observed in this study were digital marketing, influencer marketing and e-WOM. The number of samples was 190 consumer respondents from private universities in Bandung, the sampling technique used was purposive sampling. The respondent's criteria is that they have transacted using e-commerce. Collecting data by distributing questionnaires conducted online through social media to respondents. The results of this study are digital marketing has a positive effect on online purchasing decisions, Influencer marketing has a positive effect on online purchasing decisions, Electronic Word of Mouth (eWOM) has a positive effect on online purchasing decisions.