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Environmental scan

Environmental scan PurposeThe purpose of this paper is to propose an evidence-based environmental scanning model that will provide a methodological framework for conducting community-engaged and community-focused research, with a particular emphasis on northern communities in Canada.Design/methodology/approachThe study has adopted a multifaceted environmental scanning approach to understand the Inuvialuit Settlement Region communities. The research design is informed by various environmental models as discussed in literature from a broad range of domains such as business, library and information science (LIS), and a sophisticated multimethod data gathering approach that included field trips, observations, surveys, as well as informal methods of community engagement.FindingsThe paper proposes an environmental scan model as a novel approach to community-focused digital library (DL) development. The paper identifies both macro- and micro-environmental landscapes as applicable to the development of a DL for communities in Canada’s North. The macro-environmental landscapes include: geographical, historical and sociocultural, political and regulatory, economic, technological, competition, and human resource. The micro-environmental landscapes include: stakeholder and community, linguistic, information resource, and ownership.Originality/valueThe environmental scanning model and its key components presented in this paper provide a novel and concrete example of a project that aims to organize information for increased access and to create value through the design and implementation of an infrastructure for a cultural heritage DL. The environmental scan model will also contribute to both research and practice in the field of Library and Information Science (LIS), particularly in the area of DL development for rural, remote, and indigenous communities. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Aslib Journal of Information Management Emerald Publishing

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References (33)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
2050-3806
DOI
10.1108/AJIM-06-2016-0082
Publisher site
See Article on Publisher Site

Abstract

PurposeThe purpose of this paper is to propose an evidence-based environmental scanning model that will provide a methodological framework for conducting community-engaged and community-focused research, with a particular emphasis on northern communities in Canada.Design/methodology/approachThe study has adopted a multifaceted environmental scanning approach to understand the Inuvialuit Settlement Region communities. The research design is informed by various environmental models as discussed in literature from a broad range of domains such as business, library and information science (LIS), and a sophisticated multimethod data gathering approach that included field trips, observations, surveys, as well as informal methods of community engagement.FindingsThe paper proposes an environmental scan model as a novel approach to community-focused digital library (DL) development. The paper identifies both macro- and micro-environmental landscapes as applicable to the development of a DL for communities in Canada’s North. The macro-environmental landscapes include: geographical, historical and sociocultural, political and regulatory, economic, technological, competition, and human resource. The micro-environmental landscapes include: stakeholder and community, linguistic, information resource, and ownership.Originality/valueThe environmental scanning model and its key components presented in this paper provide a novel and concrete example of a project that aims to organize information for increased access and to create value through the design and implementation of an infrastructure for a cultural heritage DL. The environmental scan model will also contribute to both research and practice in the field of Library and Information Science (LIS), particularly in the area of DL development for rural, remote, and indigenous communities.

Journal

Aslib Journal of Information ManagementEmerald Publishing

Published: Jan 16, 2017

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