Critical factors influencing the maturity of business analytics of software and apparel industries in Sri Lanka

Nipuni De  Silva; Janaka Wijayanayake; Shan Jayasinghe

doi:10.1109/ICARC64760.2025.10963021

Critical factors influencing the maturity of business analytics of software and apparel industries in Sri Lanka

Nipuni De Silva, Janaka Wijayanayake, Shan Jayasinghe

Business and Law

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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Abstract

In today's data-driven business environment, Business Analytics Maturity (BAM) reflects an organization’s capability to leverage data for strategic decisions. In Sri Lanka’s key export sectors, software, and apparel, this study identifies six critical factors influencing BAM: technology-supporting infrastructure, data management, organizational culture, top management support, competitive pressure, and government regulations. Using a quantitative approach and data from 147 respondents, Partial Least Squares Structural Equation Modeling (PLS-SEM) revealed competitive pressure and government regulations as the strongest drivers, followed by organizational culture and data management. While top management support and technology infrastructure showed less direct effects their foundational role is acknowledged. This research offers insights for enhancing analytics adoption in emerging economies, advancing competitiveness, and compliance while enriching BAM literature for future studies.

Original language	English
Title of host publication	2025 5th International Conference on Advanced Research in Computing (ICARC)
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	979-8-3315-3098-3
DOIs	https://doi.org/10.1109/ICARC64760.2025.10963021
Publication status	Published - 19 Feb 2025
Event	International Conference on Advanced Research in Computing 2025 (ICARC) - Belihuloya, Sri Lanka Duration: 19 Feb 2025 → 20 Feb 2025 http://www.icarc.sab.ac.lk/

Conference

Conference	International Conference on Advanced Research in Computing 2025 (ICARC)
Abbreviated title	ICARC 2025
Country/Territory	Sri Lanka
City	Belihuloya
Period	19/02/25 → 20/02/25
Internet address	http://www.icarc.sab.ac.lk/

Access to Document

10.1109/ICARC64760.2025.10963021

Critical Factors Influencing the Maturity of Business Analytics of Software and Apparel Industries in Sri LankaAccepted author manuscript, 280 KBLicence: CC BY

Cite this

@inproceedings{647ab8a260104c64852b44b8d7c8ec4f,

title = "Critical factors influencing the maturity of business analytics of software and apparel industries in Sri Lanka",

abstract = "In today's data-driven business environment, Business Analytics Maturity (BAM) reflects an organization{\textquoteright}s capability to leverage data for strategic decisions. In Sri Lanka{\textquoteright}s key export sectors, software, and apparel, this study identifies six critical factors influencing BAM: technology-supporting infrastructure, data management, organizational culture, top management support, competitive pressure, and government regulations. Using a quantitative approach and data from 147 respondents, Partial Least Squares Structural Equation Modeling (PLS-SEM) revealed competitive pressure and government regulations as the strongest drivers, followed by organizational culture and data management. While top management support and technology infrastructure showed less direct effects their foundational role is acknowledged. This research offers insights for enhancing analytics adoption in emerging economies, advancing competitiveness, and compliance while enriching BAM literature for future studies.",

author = "Silva, {Nipuni De} and Janaka Wijayanayake and Shan Jayasinghe",

year = "2025",

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language = "English",

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booktitle = "2025 5th International Conference on Advanced Research in Computing (ICARC)",

publisher = "IEEE",

note = "International Conference on Advanced Research in Computing 2025 (ICARC), ICARC 2025 ; Conference date: 19-02-2025 Through 20-02-2025",

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Silva, ND, Wijayanayake, J & Jayasinghe, S 2025, Critical factors influencing the maturity of business analytics of software and apparel industries in Sri Lanka. in 2025 5th International Conference on Advanced Research in Computing (ICARC). IEEE, pp. 1-6, International Conference on Advanced Research in Computing 2025 (ICARC), Belihuloya, Sri Lanka, 19/02/25. https://doi.org/10.1109/ICARC64760.2025.10963021

Critical factors influencing the maturity of business analytics of software and apparel industries in Sri Lanka. / Silva, Nipuni De ; Wijayanayake, Janaka; Jayasinghe, Shan.
2025 5th International Conference on Advanced Research in Computing (ICARC). IEEE, 2025. p. 1-6.

Research output: Chapter in Book/Report/Published conference proceeding › Conference contribution › peer-review

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N2 - In today's data-driven business environment, Business Analytics Maturity (BAM) reflects an organization’s capability to leverage data for strategic decisions. In Sri Lanka’s key export sectors, software, and apparel, this study identifies six critical factors influencing BAM: technology-supporting infrastructure, data management, organizational culture, top management support, competitive pressure, and government regulations. Using a quantitative approach and data from 147 respondents, Partial Least Squares Structural Equation Modeling (PLS-SEM) revealed competitive pressure and government regulations as the strongest drivers, followed by organizational culture and data management. While top management support and technology infrastructure showed less direct effects their foundational role is acknowledged. This research offers insights for enhancing analytics adoption in emerging economies, advancing competitiveness, and compliance while enriching BAM literature for future studies.

AB - In today's data-driven business environment, Business Analytics Maturity (BAM) reflects an organization’s capability to leverage data for strategic decisions. In Sri Lanka’s key export sectors, software, and apparel, this study identifies six critical factors influencing BAM: technology-supporting infrastructure, data management, organizational culture, top management support, competitive pressure, and government regulations. Using a quantitative approach and data from 147 respondents, Partial Least Squares Structural Equation Modeling (PLS-SEM) revealed competitive pressure and government regulations as the strongest drivers, followed by organizational culture and data management. While top management support and technology infrastructure showed less direct effects their foundational role is acknowledged. This research offers insights for enhancing analytics adoption in emerging economies, advancing competitiveness, and compliance while enriching BAM literature for future studies.

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