Research Papers - Dept of Information of Management
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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.Publication Embargo Investigating the Associations Between Alcohol Consumption and Prevalence of Anxiety Using Multiple Correspondence Analysis(Springer, 2025-10-13) Kolonne, T; Mudalige, K; Dissanayaka, G; Rathnayake, K; Jayathilaka, R; Rajamanthri, L; Wickramaarachchi, CThe prevalence of a specific link between alcohol consumption and anxiety is the basis of this study. The primary aim is to identify how different types of alcohol link with different levels of anxiety disorder. This study is based on secondary data spanning two decades from 1990 to 1999 and 2010 to 2019. Before the primary analysis, the variables were categorised relative to their maximum and minimum values to identify countries with high anxiety prevalence. The MCA (multiple correspondence analysis) included four different types of alcohol and the prevalence of anxiety as variables. This methodology was utilised to determine the associations across 189 countries. The results reveal that anxiety rates are rising worldwide, with 17 countries identified to have prevalent high levels of anxiety. Most countries that exhibited a high prevalence of anxiety were based in the European region. The study emphasises a bi-directional association between anxiety and alcohol disorders, with diverse associations for various alcohol categories. Lower levels of consumption of alcoholic drinks with a high percentage of alcohol are associated with a greater incidence of anxiety, except beer, where consuming more beer is associated with a higher anxiety incidence. Similarly, a reciprocal relationship can be identified between these variables. The study emphasises that the consumption of alcohol can be detrimental to mental health and advises anxiety-prone individuals to exercise caution and restraint when imbibing.Publication Embargo Drivers of Child Labour: Socio-Economic Insights from the 15 Worst-Affected Countries(Springer Science and Business Media, 2025-12-12) Magammana, T; Perera, A; Bandara, A; Muthugala, H; Jayathilaka, RChild labour remains a significant global challenge, particularly in low-income countries where socio-economic factors such as health, education, economic wealth, and globalisation play pivotal roles. This study investigates the interplay of these determinants in the 15 worst-affected countries, offering a nuanced understanding of the drivers of child labour. A secondary data analysis was conducted using panel data from 2010 to 2021 for the 15 countries with the highest child labour prevalence. The study employed Polynomial Simple Linear Regression to explore the relationships between child labour and key socio-economic variables: education, health, economic wealth, and globalisation. Descriptive statistics, scatter plots, and thematic maps were utilised to visualise trends and associations. The analysis revealed complex, non-linear relationships between socio-economic variables and child labour. Education and health demonstrated dual impacts, where improvements sometimes paradoxically increased child labour due to economic and cultural factors. Economic wealth reduced child labour in some contexts but exacerbated it in others, driven by unequal wealth distribution. Globalisation similarly showed mixed effects, depending on local regulatory and socio-economic conditions. Addressing child labour requires context-specific interventions. Education and healthcare investments must be paired with policies that tackle structural inequalities and ensure equitable economic wealth. Globalisation’s potential benefits in reducing child labour depend on robust regulatory frameworks and inclusive economic strategies.Publication Embargo Deciphering Online Consumer Behaviour: Uncovering Factors Affecting Purchase Intentions for Electronic Items in Sri Lanka Using Ordered Probit Model(Sage Publications India Pvt. Ltd, 2025) Rathnaweera, D; Jayathilaka, RThis study identifies key determinants of Sri Lankan consumers’ online purchase intention for electronic goods and quantifies their impact using an ordered probit regression model. The findings reveal that a 1% increase in online reviews is associated with a 0.33 percentage point increase in high purchase intention, while trust and word-of-mouth similarly exert strong positive effects (0.30 and 0.21 percentage points, respectively). Notable, delivery terms, although significant, play a lesser role compared to online reputation factors. These insights offer strategic implementation for e-commerce businesses, emphasizing the need for enhanced consumer trust mechanisms, proactive reputation management and optimized delivery strategies. Policy can leverage these findings to develop consumer protection frameworks that ensure reliability in online transactions, fostering long-term e-commerce growth in emerging markets.