你是什么颜色的?智能手机成瘾红绿灯和用户档案

Sonia San-Martín, Nadia H. Jiménez
{"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}
引用次数: 1

摘要

如今的主要关注点是智能手机成瘾和用户配置。在风险和保护因素框架下,作者试图从两个层面来描述智能手机用户的特征:(1)个体:指使用(即无聊倾向,强迫性下载应用程序);(2)微系统:指家庭和同伴(即家庭和谐和低头)。此外,作者将得出有用的管理启示和策略。设计/方法/方法首先,通过广泛的文献修订和对专家的深入访谈,在个人和微系统层面确定与成瘾相关的变量。其次,从275名西班牙智能手机用户中收集信息,并采用K-means聚类算法对智能手机用户进行分类。研究结果:拟议的交通灯方案根据用户的智能手机成瘾程度,并考虑到个人和微系统的关键变量,确定了三种用户的配置文件(红、黄、绿)。原创性/价值本研究提出了一种实用的先锋交通灯模式来对智能手机用户进行分类,并促进每个集群的策略发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.90
自引率
0.00%
发文量
21
审稿时长
24 weeks
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.
期刊最新文献
Exploring factors influencing smart tourism destination visiting behaviors in a historic country: a theory of e-consumption behavior Cognitive social capital and new product performance: indirect effect of potential absorptive and innovation capacity: a tourism-based study The relevance of legal requirements in the going public process: the discretionary decision of adopting an audit committee A comparative analysis of supply chain management between Portugal and Ireland “I love your brand! I engage with you, and I do online brand-related activities (COBRAs)”: the role of brand value
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1