Research Publications Authored by SLIIT Staff

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This collection includes all SLIIT staff publications presented at external conferences and published in external journals. The materials are organized by faculty to facilitate easy retrieval.

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2025 - 20263

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Author: search.filters.author.Samarakkody, THas files: Yes

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    PublicationOpen Access
    True nature of brain drain and brain gain: A MM-QR analysis on migration, remittances and FDI
    (Elsevier Ltd, 2026-12) Lokuliyana, A; Perera, J; Perera, R; Marina, N; Samarakkody, T; Kankanam Pathiranage, H.S
    With ever-changing global dynamics, understanding which factors promote or hinder economic growth is crucial for any country. Although many studies have examined the variables migration, remittances, and FDI, fewer have examined their collective impact on economic growth in an income-level analysis. A noticeable limitation of the few existing studies in the area is the inability of the mean-based models to address the heterogeneity in real-life distributions. The main objective of the study was to bridge the knowledge gap and address the heterogeneity concerns in mean-based models using MM-QR, meanwhile providing quantile-based evidence for economic theories such as endogenous growth theory, structural transformation theory and most importantly, brain drain theory. The study used a panel dataset of 118 countries from 1995 to 2023, categorized into 4 income levels. Results of the study supported the brain drain theory, where migration negatively affected poorer economies and hinted at the possible existence of brain gain in HICs. Continuous non-linear behavior of FDI, remittances explained the existence of developmental asymmetries and supported endogenous growth theory and structural transformation theory and reveals development threshold effects. Finally, the study underlines the importance of placing tailored policies to absorb migration, remittances and FDIs for economic growth and provides policy recommendations accordingly.
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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
    Simple Switch between Single Trip Vehicle Routing Problem and Multiple Trip Vehicle Routing Problem
    (Sciendo, 2025-01-01) Samarakkody, T
    omplexity of the mathematical model development for vehicle routing problems increases with the addition of more variables, constraints, and instances to single trip vehicle routing models. In this study, mathematical model was developed for the single trip vehicle routing problem in the initial phase and then it was converted to a multiple trip vehicle routing model using a simple approach. Novelty is brought to the study through simple three index formulation developed for the multiple trip vehicle routing problem, with a fewer constraint. Both the models were developed with Mixed integer linear programing techniques and were tested with the real-world data set using Cplex optimizer. Output of the experimental analysis showed a clear reduction in distance travel and the number of vehicles used. It implies that the optimization algorithm proposed in the study is applicable to real world cases to enjoy cost benefits and easiness in scheduling and optimizations. This study contributes to the existing knowledge gap through the development of novel and simple mathematical model, and the model’s testing and validation serve to the industrial applications as well.