The Geo‐Socio‐Personal Model: Mapping Complex Information Ecosystems for Research‐related Information Behaviors

ABSTRACT Creating international collaborative teams is common to address complex research problems in low‐income countries. Teams involve experts from low‐ and high‐income countries who must share information and communicate across interpersonal, organizational, and national contingencies and geographic and temporal borders. Effective information sharing between people and across institutions requires nuanced understandings of various information ecosystems, including the relationships between attitudes, values, and behaviors of individuals and organizations. This paper reports on an evidence‐based model developed from a qualitative study of research teams operating in two countries (Lao People's Democratic Republic and Australia), using constructivist grounded theory methodology. The resulting Geo‐Socio‐Personal (GSP) Model for Complex Information Ecosystems reflects multicultural relationships at four levels: geo‐structural, geo‐social, organizational, and inter−/intra‐personal. The model examines contingencies affecting information behaviors across all four levels, including interpersonal, organizational, and international relations, and the economic, political, and structural levels that posit these relations.

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Journal
Proceedings of the Association for Information Science and Technology
Published
2024-10-01
DOI
https://doi.org/10.1002/pra2.1037
Primary Topic
Knowledge Management and Sharing
Type
article
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article

The Geo‐Socio‐Personal Model: Mapping Complex Information Ecosystems for Research‐related Information Behaviors

Wesley Ward, Lisa M. Given
Proceedings of the Association for Information Science and Technology
Knowledge Management and Sharing
article

The Geo‐Socio‐Personal Model: Mapping Complex Information Ecosystems for Research‐related Information Behaviors

Wesley Ward, Lisa M. Given
article en

Abstract

ABSTRACT Creating international collaborative teams is common to address complex research problems in low‐income countries. Teams involve experts from low‐ and high‐income countries who must share information and communicate across interpersonal, organizational, and national contingencies and geographic and temporal borders. Effective information sharing between people and across institutions requires nuanced understandings of various information ecosystems, including the relationships between attitudes, values, and behaviors of individuals and organizations. This paper reports on an evidence‐based model developed from a qualitative study of research teams operating in two countries (Lao People's Democratic Republic and Australia), using constructivist grounded theory methodology. The resulting Geo‐Socio‐Personal (GSP) Model for Complex Information Ecosystems reflects multicultural relationships at four levels: geo‐structural, geo‐social, organizational, and inter−/intra‐personal. The model examines contingencies affecting information behaviors across all four levels, including interpersonal, organizational, and international relations, and the economic, political, and structural levels that posit these relations.

Proceedings of the Association for Information Science and TechnologyVol. 61(1)
Charles Sturt University (AU), RMIT University (AU)
Openalex Percentile: Top 76%
Knowledge Management and Sharing
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The Geo‐Socio‐Personal Model: Mapping Complex Information Ecosystems for Research‐related Information Behaviors — Wesley Ward, Lisa M. Given · Proceedings of the Association for Information Science and Technology (2024) | TGRS Research Map | TGRS