Achieving Knowledge Ambidexterity in Small and Medium Enterprises using Cloud Computing

PhD by Publication


Saratchandra, Minu. 2022. Achieving Knowledge Ambidexterity in Small and Medium Enterprises using Cloud Computing. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/q7q91
Title

Achieving Knowledge Ambidexterity in Small and Medium Enterprises using Cloud Computing

TypePhD by Publication
Authors
AuthorSaratchandra, Minu
Supervisor
1. FirstDr Anup Shrestha
Prof Peter Murray
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages218
Year2022
PublisherUniversity of Southern Queensland
Place of PublicationAustralia
Digital Object Identifier (DOI)https://doi.org/10.26192/q7q91
Abstract

Knowledge ambidexterity (K-AMB) is a simultaneous process of knowledge exploration and exploitation that can be adopted by organisations for effective knowledge management. Compared with larger organisations, small and medium enterprises (SMEs) have limited K-AMB capability. Cloud computing has emerged as an effective solution for knowledge management in SMEs. Cloud computing can also help SMEs to achieve K-AMB. However, there is a research gap to understand how can cloud computing help SMEs achieve K-AMB. To this end, the primary research questions for this study are:

RQ1: What is the role of cloud computing in knowledge management for SMEs?

RQ2: How is K-AMB achieved by SMEs from technology-driven innovation using cloud computing?

RQ3: How does cloud computing support transformation of SMEs into ambidextrous learning organisations?

To answer these research questions, a design science research (DSR) study was executed. A preliminary research artefact, referred to as the knowledge ambidexterity framework (KAF), was developed based on the findings of a systematic literature review (SLR) (Paper 1) and pre-intervention interviews with key stakeholders from seven case study SMEs in India and the United Arab Emirates (UAE). The KAF was then demonstrated using IBM Watson cloud services in 2019. This was followed by artefact evaluation at the seven case studies with two rounds of post-intervention semi-structured interviews in 2020 and 2021, that captured longitudinal data on the impact of the artefact on the case study SMEs. Qualitative data iii captured from interview transcripts were analysed using NVivo to identify emerging themes that were used to discuss the findings to answer RQ2 and RQ3.

This study found that SMEs initially operated on a compromised KAMB state where cloud computing is under-utilised, thereby missing out on ambidextrous opportunities. However, after KAF was implemented in SMEs for one year, it was found that SMEs were able to achieve K-AMB supported by technology-driven innovation using cloud computing (Paper 2). This was possible since cloud computing provided a platform for SMEs to simultaneously execute knowledge exploration and exploitation. Furthermore, because of continued collaboration with the case study SMEs, it was found that K-AMB created a continuous learning environment that helped SMEs transform into an ambidextrous learning organisation (Paper 3).

In terms of theoretical contribution, this study examined the role of cloud computing on K-AMB capability and associated K-AMB with technology-driven innovation within the SME sector. It was also identified that SMEs that can continuously follow K-AMB processes supported by cloud computing can transform into ambidextrous learning organisations. This study contributes to practice by offering guidelines for SMEs on achieving K-AMB using cloud computing to promote technology-driven innovation and develop a continuous learning culture.

Keywordsknowledge ambidexterity; cloud computing; SMEs; technology-driven innovation; ambidextrous learning organisation; knowledge management; design science research
Related Output
Has partThe role of cloud computing in knowledge management for small and medium enterprises: a systematic literature review
Has partBuilding knowledge ambidexterity using cloud computing: Longitudinal case studies of SMEs experiences
ANZSRC Field of Research 2020460908. Information systems organisation and management
350302. Business information management (incl. records, knowledge and intelligence)
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsSchool of Business
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