A model of planned and unplanned information-seeking behaviour

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Science Pub Date : 2023-09-11 DOI:10.1177/01655515231196390
Hadi Harati, Alireza Isfandyari-Moghaddam
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Abstract

The main purpose of this article is to present a model for information-seeking behaviour with an emphasis on unplanned and planned behaviour of users in using library resources and services. The working method was that, reviewing the literature and previous information behaviour models, such as Wilson, Ellis, Kuhlthau, and Dervin models, this article proposes a novel model of information-seeking behaviour for library users. Our model of information-seeking behaviour was developed by combining the existing models of planned information-seeking behaviour with the focus on the factors affecting unplanned rather than planned behaviour of users in accessing resources or services. Our proposed model for information-seeking behaviour of clients has two main parts. The first part planned behaviour resulting from a problem or a certain information need according to which the user seeks to find information in a planned manner. The second part deals with unplanned behaviour shaped by a hidden or uncertain information need. Finally, both types of behaviour can result in the discovery, extraction, collection and use of information.
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计划和非计划的信息寻求行为模型
本文的主要目的是提出一个信息寻求行为的模型,强调用户在使用图书馆资源和服务时的计划外和计划外行为。本文的工作方法是,通过回顾文献和先前的信息行为模型,如Wilson、Ellis、Kuhlthau和Dervin模型,提出一种新的图书馆用户信息寻求行为模型。我们的信息寻求行为模型是将现有的计划信息寻求行为模型与关注影响用户在访问资源或服务时的非计划行为而非计划行为的因素相结合而开发的。我们提出的客户信息寻求行为模型有两个主要部分。第一部分是由问题或某种信息需求引起的计划行为,用户根据这些行为有计划地寻找信息。第二部分涉及由隐藏的或不确定的信息需求形成的计划外行为。最后,这两种类型的行为都可能导致信息的发现、提取、收集和使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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