How can Small Businesses Achieve Knowledge Ambidexterity Using Cloud-based Knowledge Management Systems?

Shrestha, Anup ORCID: https://orcid.org/0000-0002-2952-0072 and Chandra, Minu Sarat ORCID: https://orcid.org/0000-0003-2929-3620 (2020) How can Small Businesses Achieve Knowledge Ambidexterity Using Cloud-based Knowledge Management Systems? In: 23rd Pacific Asia Conference on Information Systems (PACIS 2020), 20-24 June, 2020, Dubai, United Arab Emirates.


Abstract

Small and medium-sized enterprises (SMEs) often face obstacles towards success due to ad-hoc knowledge management (KM) practices. In order to improve SMEs capabilities, we propose a new artefact called “Knowledge Ambidexterity Framework” (KAF) to effectively utilise KM practices. The KAF is underpinned by the theory of organisational ambidexterity to demonstrate how SMEs can explore andexploit knowledge simultaneously. This framework is operationalized using a cloud based knowledge management system (KMS) powered by IBM Watson services. We adopt Design Science Research methodology to develop and evaluate the KAF. The initial KAF design is presented and its prototype KMS is built. Case study SMEs across different industries are recruited for evaluation of the artefact. Using the KAF, it is believed that SMEs can benefit from virtual organisational clusters. This study will answer how SMEs can achieve knowledge ambidexterity using cloud-based KMS in virtual organizational clusters.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Faculty/School / Institute/Centre: Historic - Faculty of Business, Education, Law and Arts - School of Management and Enterprise (1 Jul 2013 - 17 Jan 2021)
Date Deposited: 25 Aug 2020 05:19
Last Modified: 12 Oct 2020 03:09
Uncontrolled Keywords: Knowledge management, ambidexterity, Small and medium enterprises, cloud computing, organisational clusters
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080609 Information Systems Management
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/38751

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