Understanding Information Related Fields: A Conceptual Framework

Understanding Information Related Fields: A Conceptual Framework (2006)

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by Ping Zhang , Robert I. Benjamin

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Datum	Value	Source
TITLE	Understanding Information Related Fields: A Conceptual Framework	SVM HeaderParse 0.2
AUTHOR NAME	Ping Zhang	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Information Studies, Syracuse University, Syracuse, NY 13244.	SVM HeaderParse 0.2
AUTHOR NAME	Robert I. Benjamin	SVM HeaderParse 0.2
AUTHOR AFFIL	School of Information Studies, Syracuse University, Syracuse, NY 13244.	SVM HeaderParse 0.2
ABSTRACT	Many scientific fields share common interests for research and education. Yet, very often, these fields do not communicate to each other and are unaware of the work in other fields. Understanding the commonalities and differences among related fields can broaden our understanding of the interested phenomena from various perspectives, better utilize resources, enhance collaboration, and eventually move the related fields forward together. In this article, we present a conceptual framework, namely the Information-Model or I-model, to describe various aspects of information related fields. We consider this a timely effort in light of the evolutions of several information related fields and a set of questions related to the identities of these fields. It is especially timely in defining the newly formed Information Field from a community of twenty some information schools. We posit that the information related fields are built on a number of other fields but with their own unique foci and concerns. That is, core components from other fundamental fields interact and integrate with each other to form dynamic and interesting information related fields that all have to do with information, technology, people, and organization/society. The conceptual framework can have a number of uses. Besides providing a unified view of these related fields, it can be used to examine old case studies, recent research projects, educational programs and curricula concerns, as well as to illustrate the commonalities and differences with the information related fields.	SVM HeaderParse 0.2
YEAR	2006	SVM HeaderParse 0.2
CITATIONS	60 found	ParsCit 1.0