Poster: Investigating Important Aspects for Agile Adoption in Malaysia

Technologie Santé & Médecine

FACTOR ANALYSIS: INVESTIGATING IMPORTANT ASPECTS
FOR AGILE ADOPTION IN MALAYSIA
{ala08r, amg, gbw} @ ecs.soton.ac.uk
WHAT WE LEARNED
Factor Analysis revealed important aspects for adopting Agile methods in Malaysia. Organisational aspects and software developers’
involvement, cultural and people-related aspects were identified as the top factors to be considered when using Agile methods. The
adopters in this study were found to be from mixed-race teams and are using English in their daily business, thus proving Agile can be
practiced with different races in a team. The analysis also showed that language aspect should not be undermined when using Agile
methods. This can help as a guidelines for software practitioners in a region and country which the information and studies about the
methods are still lacking.
BACKGROUND PROCEDURES FACTOR EXTRACTION
27 variables from a survey of early Agile 1. Determining data suitability Factor Eigenvalues 9
adopters in Malaysia were put into factor for factor analysis. (Or (Total)
8 1
component)
analysis; using SPSS version 17. Each 2. Factor extraction: to 7
1 7.852
variable for this analysis has a six-point determine the smallest 6
2 2.534

Eigenvalue
Likert-scale (from strongly agree to strongly number of factors best 3 1.937 5
disagree). represent the inter- 4 1.638 4
relationship of data. 5 1.543
OBJECTIVES 3. Factor rotation: Here factors 6 1.182
3 2
are ‘rotated’ to improved the 2 345
• To identify clusters of the variables (or items) 7 1.080 678
and how they are inter-related to produce interpretability of the factors. 8 1.028 1
27
factors. 4. Interpretation and give 9 0.890 0
• Agile dimension and meanings of the meaning to each factors. . .
0 10 20 30
. . Factor (or Component) Number
variables important for software practitioners
27 0.093 Figure: Scree Plot (Factor extraction)
in Malaysia can be understood. Table: Eigenvalues
•Factor analysis can help to provide a summary
for data inter-relationship from Agile adoption THE 8 FACTORS IDENTIFIED FROM FACTOR ANALYSIS
in Malaysia.
Factor 1: Developers’ Involvement and Organisational-related Aspects.
SUITABILITY OF DATA Factor 2:Organisational Culture and People-related Aspects.
Factor 3: Customers’ Involvement when Practicing Agile Methods.
• Keiser-Meyer-Olkin (KMO) – a measure of
Factor 4: Benefits/Impact when using Agile Methods.
sampling adequacy ranges from 0 to 1.
Factor 5: Disagreement over the Importance of Training and Learning when using Agile methods in Malaysia.
• From this analysis, a KMO of 0.755 was
Factor 6: Lack of Importance of Technical and Technological Aspects when using Agile Methods in Malaysia.
obtained.
Factor 7: Importance of Sharing, Knowledge-related Aspects.
Factor 8: Team Commitment and Clarity of Purpose.

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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

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