Browsing by Author "Kalansuriya, N"

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Embargo
Comparative Determinants of Global Competitiveness: Governance, Social Progress, and Economic Trade-Offs
(John Wiley and Sons Ltd, 2025-03-31) Kalansuriya, N; Jayathilaka, R
This study analyses the determinants of global competitiveness in 2018 and 2023, focusing on governance, social progress, economic dynamics, sustainability, and human development. Using an Ordered Probit Regression model, countries are classified into low, middle, and high competitiveness tiers, enabling a structured assessment of how these factors influence rankings over time. The results indicate that reducing corruption and improving social progress are key to enhancing competitiveness across all tiers, as governance quality and human capital investment significantly impact economic advancement. Environmental performance and trade openness present trade-offs: while they support long-term growth, they impose short-term costs, particularly in highly competitive economies. Human development emerges as a consistent driver of upward mobility, emphasising the importance of sustained investment in education and healthcare. This study contributes uniquely by providing a two-year comparative analysis and employing an Ordered Probit Model to assess competitiveness, offering deeper insights into how countries transition between tiers. The findings highlight the need for tailored policy approaches: low-tier nations should prioritise institutional reforms, middle-tier economies should focus on innovation-driven growth, and advanced economies must balance environmental policies with economic sustainability. These insights provide valuable guidance for policymakers navigating global economic transitions.
Open Access
Comparative Determinants of Global Competitiveness: Governance, Social Progress, and Economic Trade-Offs
(Wiley, 2025-03-31) Kalansuriya, N; Jayathilaka, R
This study analyses the determinants of global competitiveness in 2018 and 2023, focusing on governance, social progress, economic dynamics, sustainability, and human development. Using an Ordered Probit Regression model, countries are classified into low, middle, and high competitiveness tiers, enabling a structured assessment of how these factors influence rankings over time. The results indicate that reducing corruption and improving social progress are key to enhancing competitiveness across all tiers, as governance quality and human capital investment significantly impact economic advancement. Environmental performance and trade openness present trade-offs: while they support long-term growth, they impose short-term costs, particularly in highly competitive economies. Human development emerges as a consistent driver of upward mobility, emphasising the importance of sustained investment in education and healthcare. This study contributes uniquely by providing a two-year comparative analysis and employing an Ordered Probit Model to assess competitiveness, offering deeper insights into how countries transition between tiers. The findings highlight the need for tailored policy approaches: low-tier nations should prioritise institutional reforms, middle-tier economies should focus on innovation-driven growth, and advanced economies must balance environmental policies with economic sustainability. These insights provide valuable guidance for policymakers navigating global economic transitions.
Open Access
Impact of Green Supply Chain Management Practices on Operational Performance in Logistics Companies in Sri Lanka
(SLIIT Business School, 2023-12-14) Kaushalya, C; Sahana, S; Wijenayake, O; Jayawardana, S; Karunarathna, N; Kalansuriya, N
To improve organizational performance and gain a competitive advantage, businesses today realize that environmental sustainability and becoming green are key basic principles. The objective of this study is to investigate how Green Supply Chain Management Practices (GSCMP) would affect the operational performance of logistics companies in Sri Lanka. A questionnaire was used to gather primary data from the sample, which consisted of 152 logistics companies. Statistical Package for Social Sciences (SPSS) software was used to analyze the data using multiple linear regression. According to the study's findings, green packaging and green transportation have a significant impact on operational performance, whereas green purchasing has no significant impact. The contribution of this study addresses a gap in existing literature concerning the combined analysis of green purchasing, green packaging, green warehousing, and green transportation variables in relation to their impact on operational performance in the Sri Lankan context. And it is the first study to focus specifically on the Sri Lankan logistics sector. Also, the study identifies GSCMP adoption limitations in the logistics sector and lays out the foundations for future research to address those barriers.