{"title":"印尼背景下的移动互联网用户细分:对移动互联网产品开发管理的洞察","authors":"Sri Daryanti, Kristina Uli Simanjuntak","doi":"10.21002/SEAM.V10I1.7707","DOIUrl":null,"url":null,"abstract":"This study strives to identify the market segment for mobile Internet based ondemographic characteristics and technology USAge behavior attributes. Marketnsegment analysis is one of the most nimportant nfactors for target market identification ofnproducts or services. Segmentation analysis is also very crucial to the success of productdevelopment management to ensure that products reach their potential customers ortheir target market effectively with the right marketing strategies, thereby ensuringpeak profitability. In this segmentation research project, data were collected througha paper-based survey using nonprobability sampling among 232 respondents. nBasedon cluster analysis, the mobile Internet segment in Indonesia can be divided into fourgroups: savvy users (35.8%), loyal users (27.6%), value users (27.6%) and traditionalusers (9.9%). The study found that factors which clearly differentiate mobile Internetsegments are: mobile data USAge during web browsing, communication activityincluding social media activity, game activity, and price sensitivity.","PeriodicalId":41895,"journal":{"name":"South East Asian Journal of Management","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2016-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Segmentation of Mobile Internet Users in The Indonesian Context: Insight for Mobile Internet Product Development Management\",\"authors\":\"Sri Daryanti, Kristina Uli Simanjuntak\",\"doi\":\"10.21002/SEAM.V10I1.7707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study strives to identify the market segment for mobile Internet based ondemographic characteristics and technology USAge behavior attributes. Marketnsegment analysis is one of the most nimportant nfactors for target market identification ofnproducts or services. Segmentation analysis is also very crucial to the success of productdevelopment management to ensure that products reach their potential customers ortheir target market effectively with the right marketing strategies, thereby ensuringpeak profitability. In this segmentation research project, data were collected througha paper-based survey using nonprobability sampling among 232 respondents. nBasedon cluster analysis, the mobile Internet segment in Indonesia can be divided into fourgroups: savvy users (35.8%), loyal users (27.6%), value users (27.6%) and traditionalusers (9.9%). The study found that factors which clearly differentiate mobile Internetsegments are: mobile data USAge during web browsing, communication activityincluding social media activity, game activity, and price sensitivity.\",\"PeriodicalId\":41895,\"journal\":{\"name\":\"South East Asian Journal of Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2016-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South East Asian Journal of Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21002/SEAM.V10I1.7707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South East Asian Journal of Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21002/SEAM.V10I1.7707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MANAGEMENT","Score":null,"Total":0}
Segmentation of Mobile Internet Users in The Indonesian Context: Insight for Mobile Internet Product Development Management
This study strives to identify the market segment for mobile Internet based ondemographic characteristics and technology USAge behavior attributes. Marketnsegment analysis is one of the most nimportant nfactors for target market identification ofnproducts or services. Segmentation analysis is also very crucial to the success of productdevelopment management to ensure that products reach their potential customers ortheir target market effectively with the right marketing strategies, thereby ensuringpeak profitability. In this segmentation research project, data were collected througha paper-based survey using nonprobability sampling among 232 respondents. nBasedon cluster analysis, the mobile Internet segment in Indonesia can be divided into fourgroups: savvy users (35.8%), loyal users (27.6%), value users (27.6%) and traditionalusers (9.9%). The study found that factors which clearly differentiate mobile Internetsegments are: mobile data USAge during web browsing, communication activityincluding social media activity, game activity, and price sensitivity.