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A Knowledge Sharing System Requirements Framework for Academic Institutions

Published: 16 January 2019 Publication History

Abstract

This study aims to determine the requirements for knowledge sharing systems (KSS) in academic institutions (AI). Using a mixed methods approach, the study proposes a knowledge sharing system requirement framework (KSSRF) which could be used as a guide for AIs to develop their KSS. The requirements framework was developed after studying the knowledge sharing behavior (KSB) of academician end users in a public AI. Both quantitative and qualitative analyses were used to extract and describe findings. The research contributes to the KSS field through the development of a KSSRF which draws upon both quantitative and qualitative findings. AI administrators could employ the proposed framework as a guide for KS activities among academicians in their own institutions.

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Cited By

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  • (2024)Motivations and Potential Solutions in Developing a Knowledge Management System for Organization at Higher Education: A Systematic Literature ReviewJournal of Information Systems Engineering and Business Intelligence10.20473/jisebi.10.2.270-28910:2(270-289)Online publication date: 28-Jun-2024
  • (2021)The explanatory power of social cognitive theory in determining knowledge sharing among Saudi facultyPLOS ONE10.1371/journal.pone.024827516:3(e0248275)Online publication date: 19-Mar-2021

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cover image ACM Other conferences
ICCMS '19: Proceedings of the 11th International Conference on Computer Modeling and Simulation
January 2019
253 pages
ISBN:9781450366199
DOI:10.1145/3307363
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • University of Wollongong, Australia
  • College of Technology Management, National Tsing Hua University, Taiwan
  • Swinburne University of Technology
  • University of Technology Sydney

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Association for Computing Machinery

New York, NY, United States

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Published: 16 January 2019

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Author Tags

  1. academic institutions
  2. knowledge sharing
  3. knowledge sharing system
  4. system framework
  5. system requirements

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ICCMS 2019
ICCMS 2019: The 11th International Conference on Computer Modeling and Simulation
January 16 - 19, 2019
QLD, North Rockhampton, Australia

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Cited By

View all
  • (2024)Motivations and Potential Solutions in Developing a Knowledge Management System for Organization at Higher Education: A Systematic Literature ReviewJournal of Information Systems Engineering and Business Intelligence10.20473/jisebi.10.2.270-28910:2(270-289)Online publication date: 28-Jun-2024
  • (2021)The explanatory power of social cognitive theory in determining knowledge sharing among Saudi facultyPLOS ONE10.1371/journal.pone.024827516:3(e0248275)Online publication date: 19-Mar-2021

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