Research Papers - Dept of Information of Management
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Publication Open Access Status Quo Bias and EV Adoption: A Prospect Theory Perspective from a Developing Country Context(Multidisciplinary Digital Publishing Institute (MDPI), 2026-04-01) Theekshana, D; Gamage, K. A.A; Herath, R; Kavirathna, C.A; Jayasinghe, S; Weerakkody W.A.SElectric vehicles (EVs) are promoted to decarbonise road transport, yet uptake remains slow in many emerging markets. This study examines consumer resistance to EV adoption in Sri Lanka by modelling status quo bias (SQB) using a Prospect Theory lens. An online survey of urban vehicle owners and near-term buyers yielded 157 responses; after screening and removing influential outliers, 151 cases were analysed using partial least squares structural equation modelling (PLS-SEM). The model tests five Prospect Theory-aligned antecedents, namely, loss aversion, reference dependence, risk perception, framing effects, and uncertainty aversion, and evaluates environmental concern as a moderator. Results indicate that loss aversion has a significant positive effect on SQB (β = 0.216, p = 0.005) and uncertainty aversion is the strongest predictor (β = 0.453, p < 0.001), while reference dependence, risk perception, and framing effects show positive but statistically non-significant direct effects. Moderation tests show that environmental concern significantly moderates the effects of reference dependence (β = 0.181, p = 0.039) and framing effects (β = 0.179, p = 0.037) on SQB, but does not significantly moderate the loss aversion, risk perception, or uncertainty aversion paths. Overall, perceived losses and—especially—ambiguity surrounding EV ownership appear to sustain reliance on internal combustion vehicles in this developing-country context, underscoring the need for interventions that reduce uncertainty (credible infrastructure signals, stable policy, serviPublication Embargo Focus on Middle East and Central Asia: rationale of IMF assistance seeking(Springer Science and Business Media Deutschland GmbH, 2026-03) Wisenthige, K; Pathiranage, H. S.K; Jayathilaka, RThis study delves into the rationale behind the tendency of nations in the Middle East and Central Asia (MECA) to seek aid from the IMF. The IMF supports global financial stability, aiming to foster economic growth and prosperity across its member countries by promoting policies that encourage monetary cooperation and financial resilience. The study employs a conditional fixed-effects logit model, the analysis spans 22 years of data from twenty-five MECA countries to identify the factors driving these nations to seek IMF assistance. It focuses on six determinants: Current Account Balance (CAB), Inflation (INF), Corruption (CORR), General Government Net Lending and Borrowing (GGNLB), General Government Gross Debt (GGGD), and Gross Domestic Product Growth (GDPG). The fixed-effects logit shows that slower GDP growth raises the odds of an IMF programme, while short-run changes in corruption control and public debt ratios are not significant once country and year effects are absorbed. Inflation is weakly positive; the current account balance is still insignificant. A post-GFC and an income-group robustness check confirm the pattern. Furthermore, the study identifies Lebanon, a lower-middle-income country, as a leading example of seeking IMF assistance during the study period. Overall, this research highlights the importance of policymakers understanding the dynamics and rankings within the MECA region to effectively address economic challenges, provide financial support, and foster a more sustainable economic structure.Publication Open Access Achieving zero hunger: A global policy lens on food security drivers and income group disparities(Elsevier B.V., 2026-03) Pulle, N; Sampath, P; Perera, S; Wijayaweera, D; Jayathilaka, RMany countries struggle to meet their daily dietary requirements despite numerous attempts to address the existing demand. Consequently, this study collectively analyses the impact of urbanisation, renewable energy, greenhouse gas emissions, population growth, gross domestic product per capita and agricultural land on food production relying on Sen's Entitlement Theory, thus providing insights to resolve the long-standing issue of food insecurity, and support the achievement of the Sustainable Development Goals. The study utilises a stepwise panel ordered Probit model on 146 countries, for the years 1993 to 2023. It further categorises the food production index into three categories of food security as; low, moderate and high, thereby enabling discussion of the likelihood of a country falling into one of the aforementioned food security categories over the years. Urbanisation, agricultural land, and the dummy variables introduced to represent the income groups have been identified to have a significant and favourable relationship with the food production index. In contrast, the greenhouse gas emissions and renewable energy variables have a significantly inverse impact on the food production index. This makes a unique contribution to the existing body of literature, especially by comparing odds over the years, across different food secure categories, countries, and their specific income levels. This study enables policymakers to gain a comprehensive historical perspective on each case. This study further promotes the Sustainable Development Goals, highlighting areas where these goals have been negatively impacted. Additionally, the study discusses optimised investment allocations, agricultural research and development, agricultural technology, climate resilient farming, and sustainable urbanisation planning as solutions for extreme cases.Publication Open Access Sustainability indicators in a globalised poultry sector: production, consumption, trade openness, and GDP across 126 countries(Elsevier B.V., 2026-02-12) Silva, Y; Perera, N; Mendis, K; Susan, H; Jayathilaka, RThe sustainability of the meat industry relies on consistent demand and the desire for meat. In recent years, chicken was produced around 104.2 million metric tons and expected to increase by 2% in the upcoming years with a record of 109.6 million tons worldwide. Also, global chicken meat export will increase by 3% with a record of around 14.7 million tons. Therefore, this research focuses on investigating the causal relationships that have a significant impact on chicken production, considering independent variables as chicken consumption, trade openness, and GDP. This study is conducted across several income groups, encompassing 126 countries, for a 30-year period from 1993 to 2022. To strengthen the study, the demand theory and international trade theory were utilised. This study employs multiple methodologies, including panel Granger analysis, cross-country Granger causality analysis to identify the direction of causality, and thereafter the Wavelet coherence analysis to determine the time variance and the nature of the coherence between the variables. According to the study, the results have revealed unidirectional relationships between production and trade openness, chicken meat consumption, and GDP. Accordingly, policy suggestions are provided for farmers, policymakers, relevant organisations, and legislators to make an impact on the chicken meat industry by enhancing production, optimising operations, and maintaining high quality to improve nutritional value. All the implementation suggestions are given to support the Sustainable Development Goals, established by the United Nations.Publication Open Access Impact of Socioeconomic Factors on Life Expectancy: A Global Perspective Across Income Levels(John Wiley and Sons Ltd, 2026-01-12) Kaluarachchi, S; Jayathilaka, RSocioeconomic factors influencing life expectancy are still underexplored across different income groups in global research. This study investigates the socioeconomic determinants of longevity across global income levels, drawing on World Bank data to analyze how various economic and social factors influence lifespan worldwide. A stepwise panel data regression analysis was conducted to examine the determinants. The findings indicate that increase per capita gross domestic product and health expenditure substantially enhance lifespan, whereas increase population size, death rate, and infant mortality rate adversely impact life expectancy globally. In low-income countries, increase per capita gross domestic product, population size, and death rate significantly shorten life expectancy. In lower-middle-income countries, growing population size and death rate progressively lower life expectancy. In upper-middle-income countries, higher per capita gross domestic product significantly boosts longevity, while increase carbon dioxide emissions, population size, death rate, and infant mortality rate substantially reduce life expectancy. In high-income countries, increase male education significantly raises lifespan, while increase population size and death rate reduce life expectancy. These findings can help policymakers, governments, the World Health Organisation, the United Nations, and the World Bank address key issues affecting life expectancy, promoting global health and sustainable economic growth.Publication Embargo Review of Existing Literature on the Impact of Green Supply Chain Management Practices on Organisational Performance(University of Nigeria Department of Mass Communication, 2026-01) de Zoysa, A.T; Ranathunga Arachchi, D.T; Gunasekara, D.C; Bandara, H.N; Refaie, C.S.R.B; Lokeshwara, A.ABackground: Green supply chain management (GSCM) has gained prominence as more organisations seek to strike a balance between the objectives of sustainable operations and financial performance. The importance of understanding the implications of GSCM practices for organisational outcomes is increasing, given mounting environmental pressures and the need to compete globally. Objective: This research assesses the impact of GSCM practices on the organisation's economic, environmental, social, and operational performance, and identifies key themes, theoretical considerations, and gaps in the literature. Methodology: The systematic literature review method was employed. Overall, 60 peer-reviewed articles published in the last 12 years (2013-2025) were retrieved from major academic databases, including Emerald Insight, ScienceDirect, IEEE Xplore, and Wiley. Strict cleaning and screening were based on Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA). The thematic synthesis was used as one of the data analysis techniques, with the emphasis on sampling characteristics and conceptual frameworks, methodological designs and reported outcomes. Consistency of the reviewed research, as well as the validity and reliability of the studies, were taken into consideration to ensure the trustworthiness of the findings. Results: As indicated in the review, GSCM practices are effective in enhancing operational efficiency, environmental performance, social responsibility, and economic performance. Firm size, organisational capabilities, institutional pressures, and supply chain integration are among the factors that moderate the effectiveness of GSCM practices. Conclusion: GSCM has continued to be a strategic force towards sustainable and organisational performance. Results attest to their important role in improving financial performance and environmental regulation. Unique Contribution: The research integrates emerging knowledge to provide a universal model of the complex nature of GSCM effects. It offers theoretical clarity, reveals emerging themes and creates gaps that will be filled by future research. Key Recommendation: Future research should involve cross-industry comparative experiences, sophisticated modelling, and an examination of the impact of digital technologies on the efficacy of GSCM.Publication Embargo Impact of economic growth, energy consumption, and trade openness on carbon emissions: evidence from the top 20 emitting nations(Taylor and Francis Ltd., 2025) Methmini, D; Dharmapriya, N; Gunawardena, V; Edirisinghe, S; Jayathilaka, R; Wickramaarachchi, Che study focuses on the top 20 carbon emission-increasing nations across continents from 2000 to 2021 and the effects of gross domestic product, energy consumption, and trade openness on carbon emissions. The study uses a panel dataset and multiple linear regression analysis to pinpoint the significant factors influencing each nation's carbon emissions. The findings indicate that China, Kazakhstan, Saudi Arabia, and South Korea in Asia; Algeria, Egypt, Morocco, and the Seychelles in Africa; Antigua and Barbuda, Bolivia, Chile, and Panama in America; Albania, Belarus, Lithuania, and Russia in Europe; and Fiji, Samoa, Tonga, and Vanuatu in Oceania have a highly significant impact on carbon emissions in their respective regions. Energy consumption significantly increases carbon emissions in all countries except Panama and Kazakhstan, where it only significantly impacts GDP-related carbon emissions. These insights lay the groundwork for policymakers to prioritise sustainable development, reduce carbon emissions in their decision-making processes, and establish comprehensive strategies that reconcile ecological concerns with socioeconomic goals by understanding the intricate dynamics between gross domestic product, energy use, trade openness, and carbon emissions.Publication Open Access Mapping causal relationships between migration and economic growth: A visual and empirical approach(Elsevier Ltd, 2025-09-19) Azmi, Y; Landersz, S; Dissanayake, P; Chloe, L; Jayathilaka, RThe focus of this study is to identify whether causal relationships exist between migration and economic growth across countries in the Asian continent. Real GDP per capita and net migration per capita were used to measure economic growth and net migration, respectively. A dataset comprising panel data from 1994 to 2023, covering 41 countries, was utilised. The Bootstrap Dumitrescu and Hurlin Granger non-causality test was conducted for a continental analysis of Asia. Further, the Granger causality Wald test was undertaken for in-depth country-level analysis. The empirical results indicate a unidirectional causality in Asian continent, and Eastern, and Western Asian sub reigns while other sub reigns indicated no causality. Additionally, while majority of the countries indicated no causality, seven countries namely, Saudi Arabia, Turkmenistan, Viet Nam, Sri Lanka, Macao SAR China, Malaysia and Rep. Korea indicated unidirectional causalities. Based on these findings, implications were made for policymakers when developing economic policies that leverage the economic potential of net migration.Publication Embargo Visualizing the nexuses: a 3D regression analysis of poverty, urbanization, and crime rates in Asia(Routledge, 2025-08-11) Gomez, L; Sivakumar, T; Raveendran, T; Jayathilaka, R; Wickramaarachchi, C; Ranagalage, MThe study examines the association of poverty and urbanization on crime rates within the Asian region. The endeavor utilized data from twenty-eight countries from 1990-2020 and employed multiple linear and stepwise regression. The top five countries from the Asian region were selected based on the highest average crime rates to provide a comprehensive analysis. Multiple regression was further visualized using a 3D scatter plot diagram with a regression plane. The research discovered a positive association between poverty (proxied by infant mortality rate) and crime rates in the Philippines and Thailand. All the top five countries have recorded a negative association between urbanization and crime rates in the Asian region. The findings provided insights into the country-specific impact of poverty and urbanization on crimes in the Asian region. By utilizing these insights, policymakers could better tackle crimes and control the unintended consequences of poverty prevalence and rapid urbanization.Publication Embargo Enhancing the Understanding of climate dynamics: analysis of global warming’s influence on Climatic changes across continents(Springer Science and Business Media, 2025-07-14) Dharmapriya, N; Edirisinghe, S; Gunawardena, V; Methmini, D; Rathnayake, N; Jayathilaka, RGlobal warming, primarily due to increased atmospheric carbon dioxide, poses a significant threat to climate stability, yet research on its combined effects across different geographical areas is limited. In order to fill that gap, this study examines how carbon emissions (CE) are impacted by greenhouse gas emissions (GHG), agricultural nitrogen oxide (ANO), urban population (UP), and fossil fuel consumption (FFC) in 185 different nations between 2000 and 2019. With the exception of urban population, which was expressed as a percentage, all variables were standardised to metric tonnes per capita using panel regression analysis. The results draw attention to geographic disparities. Africa has the lowest carbon and greenhouse gas emissions due to its extensive forest cover and minimal industrial production. Although Oceania’s greenhouse gas emissions have decreased, the region continues to emit high amounts of agricultural nitrous oxide. Rapid industrialisation is the primary cause of Asia’s growing consumption of fossil fuels. Agricultural nitrous oxide and carbon emissions have a negative correlation in Asia, Oceania, and the globe, but a positive correlation in Africa, America, and Europe. Carbon emissions and the use of fossil fuels are strongly positively correlated in every region but Asia. These results highlight the complex, location-specific factors affecting carbon emissions. For policymakers to effectively cut emissions, they must develop customised, geographically specific initiatives. In order to accomplish Sustainable Development Goal 13: Climate Action by 2030, emission controls should be strengthened, and sustainable practices should be encouraged, particularly in the use of fossil fuels and farming.