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Author: search.filters.author.Thelijjagoda, S

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    PublicationOpen Access
    Sri Lankan SMEs’ Performance Through Cloud Computing Adoption: An SEM-ANN Analysis
    (Institute of Electrical and Electronics Engineers Inc., 2025-04-25) Nawaz, S.S; Thelijjagoda, S
    This study identifies the determinants of cloud computing adoption and its effect on the performance of Sri Lankan small and medium-sized enterprises (SMEs). The Technology-Organization-Environment (TOE) framework, Technology Acceptance Model (TAM), and individual context were used to derive the study variables. This quantitative cross-sectional study adopted items from previous validated studies. Google Form was employed to collect data, and 418 responses were received from Sri Lankan SMEs. Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4 and Artificial Neural Network (ANN) analysis via IBM SPSS 29 were used for data analysis. Based on the results, all hypotheses are confirmed except for one, and SME performance is significantly affected by cloud computing adoption. This study adds to the existing empirical evidence on cloud computing adoption by introducing an all-inclusive model that integrates the TOE, TAM, and individual factors. This demonstrates the effectiveness of the PLS-SEM/ANN hybrid methodology in analysing the determinants of cloud computing adoption. The significance of top management as a factor is highlighted by providing training and education to employees. Managers can benefit from this result by improving cloud computing adoption among SMEs in Sri Lanka. This is the first study of its kind in Sri Lanka, integrating the TOE, TAM, and individual variables and using a hybrid methodology combining PLS-SEM and ANN.
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    PublicationEmbargo
    The digital bridge: how digital transformation mediates the innovative culture-resilience nexus in IT firms
    (Emerald Publishing, 2025) Kodithuwakku, T; Samaraweera, I; Mathew, M; Samarakkody, T; Thelijjagoda, S; Gamage, S
    Purpose – This study aims to identify the impact of innovative culture on organizational resilience in the Sri Lankan information technology (IT) sector, with a specific focus on the mediation role of digital transformation. Design/methodology/approach – Using a quantitative approach, data were collected from over 274 participants who were managerial or above-level employees in the IT industry via surveys. Partial least squares structural equation modeling was used to analyze the data and test the hypothesized relationships between variables. Findings – The findings of this study revealed that innovative culture has a significant positive impact on the adoption of digital transformation, as the innovative mindset that is ingrained encourages continuous growth, creativity and risk-taking, thereby strengthening digital transformation initiatives. Both innovative culture and digital transformation have a significant positive impact on organizational resilience. Digital transformation significantly mediates the effect of innovative culture on organizational resilience. Practical implications – The findings offer valuable guidance to industry leaders and policymakers for the strategic utilization of technology and the design of appropriate business models. Originality/value – This study emphasizes the importance of developing innovative culture and digital transformation in the IT industry to ensure sustainable business processes.
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    PublicationOpen Access
    Framework to create opportunities to maximize the contribution of differently abled employees in the Sri Lankan garment industry
    (Springer Science and Business Media, 2025-04) Gurudasa, P; Lokeshwara, A; Weerarathna, R; Thelijjagoda, S; Weerasinghe, C; Fonseka, S; Dananjaya, S
    The primary focus of this study was on Differently Abled Employees’ (DAEs) work performance within Sri Lanka’s garment industry. Prior research revealed inadequate awareness among organizations regarding the provision of employment opportunities for DAEs. Notably, DAEs constitute a substantial portion of the economically inactive working-age population in Sri Lanka. In this setting, the study aimed to identify the crucial factors influencing the contribution of DAEs in the Sri Lankan garment industry. In this setting, the study sought to measure their impact and develop a framework that supports both DAEs and the garment industry, fostering a mutually beneficial work environment. Utilizing a mixed approach, the study encompassed a sample population of 270 DAEs. Data collection involved semi-structured interviews and a Likert scale questionnaire. Convenience sampling was deployed to interview 14 DAEs, while a sample of 159 DAEs was selected through simple random sampling for the distribution of the questionnaire. Thematic analysis and multiple linear regression analysis were employed to analyze qualitative and quantitative data. The results underscored the significance of the examined factors affecting DAEs’ contributions. Based on regression analysis results, the researchers developed a framework, which underwent further refinement through reviews and discussions. The findings proposed supportive strategies to achieve the overarching objective of the study to maximize DAEs’ contributions in the workplace.