School of Business

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    Navigating economic crisis: Factors shaping resilience in Sri Lankan construction SME supply chains
    (Taylor and Francis Ltd., 2025) Madhavika, N; Bandara, M; Manchanayake, M; Perera, C; Bandara, W; Jayasinghe, P; Ehalapitiya, S
    In today’s construction industry, supply chains are subject to much greater disruption than they were in the past, resulting in a greater need for resilience. However, there is a gap in the literature that examines the resilience of construction small and medium scale Enterprises (SMEs) specifically focusing on developing countries. This article is a step towards identifying the factors influencing the resilience of construction SME supply chains taking the case of Sri Lanka: a developing country which is currently amidst a major economic crisis. This research study adopted a mixed-method approach, employing 08 structured interviews with employees ranging from executive level to top level management of 08 construction SMEs followed by a questionnaire survey considering a sample of 195 construction SMEs also with executive level to top level management of each construction SME. The findings indicated that Collaboration, Entrepreneurial Orientation (EO), Internal Integration, and Outsourcing have a positive significant impact on the resilience of Sri Lankan construction SMEs’ supply chains during an economic crisis, while ‘collaboration’ and ‘EO’ are the most influential factors respectively. Therefore, construction SMEs must prioritize and enhance collaboration and EO when devising supply chain strategies to strengthen resilience during economic crises. This paper contributes to filling the research gap by investigating factors influencing construction SME supply chains in a developing country during an economic crisis. Moreover, it contributes to the knowledge by being one of the latest empirical studies focusing on the construction SME supply chains in Sri Lanka. The findings provide a valuable reference for both policymakers and practitioners seeking to improve the resilience of construction SME supply chains.
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    Unveiling the robustness of apparel exporters' supply chains: exploring the influence of IT capability, supply chain collaborations and government support
    (Emerald Publishing, 2025-10-23) Jayasinghe, P.S.K; Kelly, T; Madhavika, N; Ehalapitiya, S; De Costa, D.S; Liyanage, M.K; Rishdha, F; Jayasuriya, N
    Purpose – This study investigates factors influencing supply chain resilience in Sri Lanka's export-oriented apparel manufacturing sector, emphasizing information technology capability, supply chain collaboration and government support. The aim is to identify key elements contributing to resilience amid a dynamic business environment. Design/methodology/approach – Adopting an exploratory sequential mixed method approach, the research combines Thematic Analysis and Structural Equation Modeling via SmartPLS 4 and NVIVO. Qualitative insights are derived from in-depth interviews, and 158 questionnaires are distributed to companies, enabling a comprehensive exploration of the multifaceted aspects of supply chain resilience. Findings – The study reveals the pivotal role of information technology capability, supply chain collaboration and government support in influencing supply chain resilience within Sri Lanka's apparel manufacturing sector. Findings, derived from both qualitative and quantitative analyses, provide a nuanced understanding of these factors and their impact on resilience. Originality/value – Contributing to existing knowledge, this research offers a holistic examination of supply chain resilience in Sri Lanka's apparel manufacturing sector. By blending qualitative and quantitative methods and focusing on specific factors, it provides original insights. The recommendations derived from the findings offer valuable guidance for supply chain experts operating in the dynamic business environment of the Sri Lankan apparel manufacturing sector.
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    PublicationOpen Access
    Determining the influence of LPI, GCI and IR on FDI: A study on the Asia and Pacific Region
    (PLoS ONE, 2023-02-01) Wannisinghe, P; Jayakody, S; RathnayakeI, S; Wijayasinghe, D; Jayathilaka, R; Madhavika, N
    This study examines the impact of the Logistics Performance Index (LPI), Global Competitiveness Index (GCI) and Interest Rates (IR) on Foreign Direct Investment (FDI) for the Asia & Pacific region. The study is original as extensive evidence on the impact of LPI, GCI and IR on FDI in the Asia & Pacific region are examined initially. For the years 2007, 2010, 2012, 2014, 2016 and 2018, data was gathered for 33 nations in the Asia and Pacific area. Data analysis was performed using a panel regression model and multiple linear regression. The findings of the study reveal that LPI, GCI and IR are the three major factors influencing FDI inflows into the economies. However, the impact of these factors varies from country to country. The results concluded that LPI positively impacts FDI in India, Korea, Lebanon, and Oman. In contrast, a negative influence was observed for China, Kuwait and the Philippines. GCI positively impacts FDI in China, Korea, Kuwait, Pakistan and the Philippines, while a negative impact was observed in Armenia, India, Lebanon. Furthermore, IR has a positive impact on FDI flows in China and Egypt while in Korea and Lebanon, a negative impact was observed. Therefore, policymakers should focus more on improving the infrastructural requirements and macroeconomic factors while considering the other countrylevel variables that influence the FDI in flow.
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    PublicationOpen Access
    Macroeconomic factors affecting FDI in the African region
    (PLOS ONE, 2023-01-23) Rathnayake, S; Jayakody, S; Wannisinghe, p; Wijayasinghe, D; Jayathilaka, R; Madhavika, N
    Foreign Direct Investment (FDI) occurs when one country invests in another. Multiple factors have contributed to fluctuations in FDI flows globally. This study investigates the impact of the Logistics Performance Index (LPI), Global Competitiveness Index (GCI) and Interest Rates (IR) on FDI in the African region. The study is significant because the African region is underdeveloped and with an unstable macroeconomic environment. Data were collected for 26 countries in the African region for the years 2007, 2010, 2012, 2014, 2016 and 2018 and analysed using Panel Regression and Multiple Linear Regression models. The study’s findings concluded that LPI, GCI, and IR are three major macroeconomic factors impacting FDI inflows. The results indicated that LPI positively impacts FDI in Gambia, Lesotho and Rwanda, while in contrast, LPI impacts FDI negatively in Mauritius. GCI has a positive impact on FDI in Algeria and Lesotho with a negative impact in Rwanda, Mauritius and Namibia. Moreover, IR has a negative impact on FDI in Algeria, Rwanda and Mauritius with a positive impact in Lesotho. Policymakers should pay more attention to the infrastructure development and management of macroeconomic and other factors affecting FDI.