{"title":"你是什么颜色的?智能手机成瘾红绿灯和用户档案","authors":"Sonia San-Martín, Nadia H. Jiménez","doi":"10.1108/ejmbe-02-2021-0069","DOIUrl":null,"url":null,"abstract":"PurposeThe key concern nowadays is smartphone addiction and user profiles. Following the risk and protective factors framework, the authors aim to characterize smartphone users according to two levels: (1) individual: referred to the use (i.e. boredom proneness, compulsive app downloading smartphone addiction) and (2) microsystem: referred to family and peers (i.e. family harmony and phubbing). Besides, the authors will derive useful managerial implications and strategies.Design/methodology/approachFirst, an extensive literature revision and in-depth interviews with experts were employed to identify the addiction-related variables at the individual and microsystem level. Second, information was collected from a sample of 275 Spanish smartphone users, and a K-means clustering algorithm was employed to classify smartphone users.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.","PeriodicalId":45118,"journal":{"name":"European Journal of Management and Business Economics","volume":" ","pages":""},"PeriodicalIF":4.2000,"publicationDate":"2021-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"What colour are you? Smartphone addiction traffic lights and user profiles\",\"authors\":\"Sonia San-Martín, Nadia H. Jiménez\",\"doi\":\"10.1108/ejmbe-02-2021-0069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThe key concern nowadays is smartphone addiction and user profiles. Following the risk and protective factors framework, the authors aim to characterize smartphone users according to two levels: (1) individual: referred to the use (i.e. boredom proneness, compulsive app downloading smartphone addiction) and (2) microsystem: referred to family and peers (i.e. family harmony and phubbing). Besides, the authors will derive useful managerial implications and strategies.Design/methodology/approachFirst, an extensive literature revision and in-depth interviews with experts were employed to identify the addiction-related variables at the individual and microsystem level. Second, information was collected from a sample of 275 Spanish smartphone users, and a K-means clustering algorithm was employed to classify smartphone users.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.\",\"PeriodicalId\":45118,\"journal\":{\"name\":\"European Journal of Management and Business Economics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2021-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Management and Business Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ejmbe-02-2021-0069\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Management and Business Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ejmbe-02-2021-0069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
What colour are you? Smartphone addiction traffic lights and user profiles
PurposeThe key concern nowadays is smartphone addiction and user profiles. Following the risk and protective factors framework, the authors aim to characterize smartphone users according to two levels: (1) individual: referred to the use (i.e. boredom proneness, compulsive app downloading smartphone addiction) and (2) microsystem: referred to family and peers (i.e. family harmony and phubbing). Besides, the authors will derive useful managerial implications and strategies.Design/methodology/approachFirst, an extensive literature revision and in-depth interviews with experts were employed to identify the addiction-related variables at the individual and microsystem level. Second, information was collected from a sample of 275 Spanish smartphone users, and a K-means clustering algorithm was employed to classify smartphone users.FindingsThe proposed traffic lights schema identifies three users’ profiles (red, yellow and green) regarding their smartphone addiction and considering individual and microsystem critical variables.Originality/valueThis study proposes a practical and pioneer traffic lights schema to classify smartphone users and facilitate each cluster's strategies development.
期刊介绍:
European Journal of Management and Business Economics is interested in the publication and diffusion of articles of rigorous theoretical, methodological or empirical research associated with the areas of business economics, including strategy, finance, management, marketing, organisation, human resources, operations, and corporate governance, and tourism. The journal aims to attract original knowledge based on academic rigour and of relevance for academics, researchers, professionals, and/or public decision-makers.