个人信息管理变量研究

Ofer Bergman
{"title":"个人信息管理变量研究","authors":"Ofer Bergman","doi":"10.1108/AP-04-2013-0032","DOIUrl":null,"url":null,"abstract":"Purpose – Personal information management (PIM) is an activity in which an individual stores personal information items in order to retrieve them later on. As PIM research moves from an infant stage of exploratory studies to more rigorous quantitative ones, there is a need to identify and map variables that characterize and account for the variety of PIM behaviour. This is the aim of the current research. Design/methodology/approach – In an exploratory study, 20 semi-structured 90-minute interviews were recorded and transcribed. Variables were found by comparing the behaviors of participants who represent the two extreme poles of each variable's axis (i.e. when two participants showed a high and low degree of document redundancy, the redundancy variable was identified). In a later analysis, the variables were grouped into categories. Findings – The paper identifies 15 variables grouped in five categories: organization related variables (order, redundancy and name meaning), structure variables (collection ...","PeriodicalId":55449,"journal":{"name":"Aslib Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"42","resultStr":"{\"title\":\"Variables for personal information management research\",\"authors\":\"Ofer Bergman\",\"doi\":\"10.1108/AP-04-2013-0032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose – Personal information management (PIM) is an activity in which an individual stores personal information items in order to retrieve them later on. As PIM research moves from an infant stage of exploratory studies to more rigorous quantitative ones, there is a need to identify and map variables that characterize and account for the variety of PIM behaviour. This is the aim of the current research. Design/methodology/approach – In an exploratory study, 20 semi-structured 90-minute interviews were recorded and transcribed. Variables were found by comparing the behaviors of participants who represent the two extreme poles of each variable's axis (i.e. when two participants showed a high and low degree of document redundancy, the redundancy variable was identified). In a later analysis, the variables were grouped into categories. Findings – The paper identifies 15 variables grouped in five categories: organization related variables (order, redundancy and name meaning), structure variables (collection ...\",\"PeriodicalId\":55449,\"journal\":{\"name\":\"Aslib Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"42\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aslib Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/AP-04-2013-0032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aslib Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/AP-04-2013-0032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 42

摘要

目的——个人信息管理(PIM)是一种个人存储个人信息项以便以后检索的活动。随着PIM研究从探索性研究的婴儿阶段转向更严格的定量研究,有必要确定和绘制表征和解释PIM行为多样性的变量。这是当前研究的目的。设计/方法/方法-在一项探索性研究中,记录并转录了20个半结构化的90分钟访谈。通过比较代表每个变量轴的两个极端的参与者的行为来发现变量(即当两个参与者显示高和低程度的文档冗余时,识别冗余变量)。在后来的分析中,这些变量被分成不同的类别。研究结果-本文确定了15个变量,分为五类:组织相关变量(顺序,冗余和名称含义),结构变量(集合…
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
Variables for personal information management research
Purpose – Personal information management (PIM) is an activity in which an individual stores personal information items in order to retrieve them later on. As PIM research moves from an infant stage of exploratory studies to more rigorous quantitative ones, there is a need to identify and map variables that characterize and account for the variety of PIM behaviour. This is the aim of the current research. Design/methodology/approach – In an exploratory study, 20 semi-structured 90-minute interviews were recorded and transcribed. Variables were found by comparing the behaviors of participants who represent the two extreme poles of each variable's axis (i.e. when two participants showed a high and low degree of document redundancy, the redundancy variable was identified). In a later analysis, the variables were grouped into categories. Findings – The paper identifies 15 variables grouped in five categories: organization related variables (order, redundancy and name meaning), structure variables (collection ...
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
Aslib Proceedings
Aslib Proceedings 工程技术-计算机:信息系统
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊最新文献
Unearthing historical insights: semantic organization and application of historical newspapers from a fine-grained knowledge element perspective Investigating the consumption behavior of young adults using online food delivery platforms during the COVID-19 pandemic Factors influencing customer satisfaction with AR shopping assistant applications in e-commerce: an empirical analysis utilizing text-mining techniques The role of positive online reviews in risk-based consumer behaviours: an information processing perspective Assessing the informational credibility of conspiracy theories: online discussion about the Nord Stream damage
×
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