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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Publication Embargo Socio-Economic and Environmental Drivers of Food Security in Low-Income Countries: A 32-Year Cross-National Analysis for Sustainable Development(John Wiley and Sons Ltd, 2026-04-06) Pulle, N; Sampath, P; Wijayaweera, D; Perera, S; Jayathilaka, R; Dabare, UEnsuring countries meet their basic food security needs has been a long-standing challenge. Despite numerous attempts to tackle this issue, it remains unresolved. Hence, considering the broad reach of this concern, our study aims to collectively analyse how urbanisation, greenhouse gas emissions, renewable energy consumption, population growth, agricultural land, and gross domestic product per capita impact food security across countries. This study tests a stepwise panel-ordered probit model, utilising data from 17 low-income countries from 1992 to 2023. The research categorises the food production index into three categories: low, moderate, and high food security, allowing for the analysis of the likelihood of falling into a category of the food production index. The outcomes reveal that in low-income countries, urbanisation, greenhouse gas emissions, population growth, and agricultural land have a positive impact on the food production index, whereas renewable energy consumption has an insignificant negative impact. This analysis contributes distinctively to the existing body of knowledge by comparatively analysing the probabilities over the given period, together with the financial crisis and the COVID-19 pandemic, thus providing insights into both events. Furthermore, this report highlights the effectiveness of policies implemented, focusing on the efficient use of agricultural land through technological advancements, promoting modern farming techniques, encouraging youth engagement in agriculture, managing population growth, and innovating climate-resilient strategies, which are directly aligned with the research findings. These recommendations address specific challenges identified in the highlighted countries, helping improve their food security and promote sustainable development.Publication Open Access Global hunger risk projections and the factors shaping future vulnerabilities(Elsevier B.V., 2026-06) Pulle, N; Sampath, P; Wijayaweera, D; Perera, S; Jayathilaka, RHunger remains one of the most persistent barriers to human development, with progress uneven across regions and increasingly exposed to economic instability, climate pressure and structural vulnerabilities. This study investigates the key drivers of cross-country variation in hunger severity and develops forward looking projections to support evidence based global policy planning. Using a comprehensive global panel dataset covering 146 countries over the period, 1992 to 2024 the analysis identifies the socio-economic and environmental factors more strongly associated with changes in hunger outcomes over time. The results reveal that hunger severity is not shaped by a single pathway but by a combination of development related conditions, demographic pressures, and external shocks with substantial heterogeneity across country groups. Building on the estimated relationships the study generates projections from 2025 to 2029, highlighting regions where hunger risks may remain elevated or worsened in the absence of targeted interventions. The findings underscore that substantial progress in hunger reduction requires integrated methods that extend beyond food supply alone including strengthening resilience, improving social protection and supporting inverse growth by combining long run global evidence with near turn projections. This study contributes to the literature on hunger dynamics and offers timely insights for international organisations and national policymakers working towards the achievement of food security and related Sustainable Development Goals.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 Optimizing Asset Transfer Process in ERP Using Business Process Management Technique(Science and Information Organization, 2025-10-30) Yasarathne, R; Ranatunga, N; Herath, V; Chalinda, L; Kahandawaarachchi, C; Perera, S; Randula, CEnterprise Resource Planning (ERP) systems are critical for managing enterprise-wide business processes, including asset management. Yet, many ERP platforms lack efficient mechanisms for bulk asset transfers, leading to high manual effort, increased costs, and data inconsistencies. This study applies Business Process Reengineering (BPR) techniques as the methodology to optimize ERP asset management, focusing on workflow optimization and automation, contributing both practical and methodological insights. A mixed-method approach was adopted, analyzing a financial organization with 256 branches and over 450 Oracle ERP users. Data from 51 representative branches identified inefficiencies such as manual transfer delays, approval bottlenecks, and synchronization issues. The proposed solution introduces automated bulk asset transfers, optimized approval workflows, and real-time data synchronization, along with new metrics for evaluating efficiency, compliance, risk, and asset utilization. Compared to the As-Is system, the reengineered framework achieved a 100% reduction in operational costs per user ($7,500 annual saving), an 80% reduction in compliance incidents, a 67% reduction in asset transaction errors, and a 20% improvement in asset utilization. These results demonstrate a scalable, adaptable, and effective framework that enhances ERP operational efficiency, strengthens data integrity, and advances both academic understanding and industrial practice of asset management process reengineering.Publication Open Access Achieving zero hunger: A global policy lens on food security drivers and income group disparities(Elsevier B.V., 2026-01-19) 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 casesPublication Open Access Influence of Supply Chain Network Topology on the Evolution of Firm Strategies(Institute of Transport and Logistic Studies (ITLS), 2020-01-01) Perera, S; Kasthurirathna, D; Bell, MThis study investigates the influence of the topological structure of a supply chain network (SCN) on the evolution of cooperative and defective strategies adopted by the individual firms. First, a range of topologies representative of SCNs was generated using a fitness-based network growth model, which enabled cross comparisons by parameterising the network topologies with the power law exponent of their respective degree distributions. Then, the inter-firm links in each SCN were considered as repeated strategic interactions and were modelled by the Prisoner’s Dilemma game to represent the self-interested nature of the individual firms. This model is considered an agent-based model, where the agents are bound to their local neighbourhood by the network topology. A novel strategy update rule was then introduced to mimic the behaviour of firms. In particular, the heterogeneously distributed nature of the firm rationality was considered when they update their strategies at the end of each game round. Additionally, the payoff comparison against the neighbours was modelled to be strategy specific as opposed to accumulated payoff comparison analysis adopted in past work. It was found that the SCN topology, the level of rationality of firms and the relative strategy payoff differences are all essential elements in the evolution of cooperation. In summary, a tipping point was found in terms of the power law exponent of the SCN degree distribution, for achieving the highest number of cooperators. When the connection distribution of an SCN is highly unbalanced (such as in hub and spoke topologies) or well balanced (such as in random topologies), more difficult it is to achieve higher levels of co-operation among the firms. It was concluded that the scale-free topologies provide the best balance of hubs firms and lesser connected firms. Therefore, scale-free topologies are capable of achieving the highest proportion of cooperators in the firm population compared to other network topologies.Publication Embargo Topological rationality of supply chain networks(Taylor & Francis, 2020-05-18) Kasthurirathna, D; Perera, S; Bell, MIn this study, we apply a topologically distributed bounded rationality model to quantify the level of rationality in supply chain networks. We use the averaged Jensen-Shannon divergence values between Nash and Quantal Response equilibria for all inter-firm strategic interactions, which are represented as Prisoner’s Dilemma games, to characterise the average level of rationality in a given supply chain network. This is based on the game theoretic assumption that as the rationality of a particular interaction increases, it converges towards Nash equilibrium, in a certain strategic decision making scenario. Using this model, we demonstrate that hub-and-spoke topologies are collectively more rational compared to scale-free and random network topologies. Finally, we compare our theoretical results against the empirical findings reported for networked systems in various domains. In particular, it is shown that network topologies comprising higher average rationality levels emerge under increasingly competitive environments.