Browsing by Author "Khoshnevis, Pegah"
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Item Open Access DEA-Driven Risk Management Framework for Optimising Supply Chain Strategies in the Nigerian Oil Industry(Elsevier, 2024-06-12) Asu, John Otu; Hatami-Marbini, Adel; Hafeez, Khalid; Khoshnevis, PegahThis paper develops a comprehensive risk management framework to optimise the Nigerian oil industry supply chain risk mitigation strategies. Given the complexities of petroleum supply chain, this framework aids researchers and decision-makers in navigating innovative risk management approaches, considering implementation of associated challenges. Data Envelopment Analysis (DEA) is initially employed to prioritise risk factors, and based on obtained results, optimal response strategies are determined. The study's findings reveal criminality and terrorist attacks as paramount Nigerian oil supply chain risk factors. Additionally, the research identifies practical mitigation strategies, such as risk transfer, safety planning, alternative energy carriers, improved energy efficiency, emergency rescue plans, expected shortages, and diplomatic relations. This research contributes valuable insights to academia and industry, fostering a deeper understanding of risk dynamics in the Nigerian oil sector. The framework presented offers a powerful approach to risk management, providing a foundation for informed decision-making and strategic planning in the ever-evolving landscape of supply chain dynamics.Item Metadata only Dynamic performance evaluation of aerospace industry actors in Belgium(2017-09-28) Khoshnevis, Pegah; Teirlinck, PeterItem Metadata only Efficiency measurement of R&D firms: a size perspective(2016-03-11) Khoshnevis, Pegah; Teirlinck, PeterItem Open Access Efficiency of space actors in Belgium(2017-07-04) Khoshnevis, Pegah; Teirlinck, PeterItem Metadata only Environmental performance assessment in the transport sector using nonparametric frontier analysis: A systematic literature review(Elsevier, 2024-02-07) Asu, John Otu; Hatami-Marbini, A.; Khoshnevis, PegahThe increasing environmental issues relating to carbon dioxide emissions are a primary concern globally and have triggered excessive research to investigate possible ways to reduce such emissions, especially in the transport sector, as initiated by Sustainable Development Goal (SDG) 13. This study investigates the importance of the nonparametric frontier analysis methodology, particularly Data Envelopment Analysis, in measuring environmental performance in the transport sector, emphasising how EU countries are working on meeting the recommendations of SDG 13. Researchers and policymakers have indisputably identified the transport sector as the primary source of global emissions. This paper aims to underline the significant environmental trends in the transport sector, including research topics, key works, research methods, future research direction, and recommendations to explore possible global or regional research agendas. In this regard, we mainly focus on various techniques used to measure the environmental performance within the transport sector. This research considers 186 articles from 46 journals. The survey’s main findings show the ever-increasing attention paid to studying the transport sector’s emissions, emphasising road and passenger car CO2 emissions as the major source of emissions in the transport sector. In the existing literature, the top three frequently adopted methodologies for measuring environmental performance in transportation include Data Envelopment Analysis, emission analysis, and simulation. This study shows research gaps and future directions on environmental performance assessment within the transport sector, particularly maritime and aviation.Item Metadata only A framework for a sustainable sourcing: A flexible cross efficiency evaluation in fuzzy DEA(2014-11-09) Khoshnevis, Pegah; AGRELL, Per; Blome, Constantin; Hatami-Marbini, A.Item Metadata only Geographical proximity and economic performance of space industry actors in Belgium(2017-06-26) Khoshnevis, Pegah; Teirlinck, PeterItem Metadata only Measuring modeling productivity in education: state-of-the-art and research frontiers(2013-06-27) Khoshnevis, Pegah; AGRELL, Per; Hatami-Marbini, A.Item Open Access Performance Evaluation of European Iron and Steel Industry(2018-06-17) Khoshnevis, Pegah; Teirlinck, Peter; Poelmans, ElineItem Metadata only Performance evaluation of R&D firms for generating insights into innovation systems(2015-08-24) Khoshnevis, Pegah; Teirlinck, Peter; Hatami-Marbini, A.Item Metadata only Robust performance evaluation of Belgian R&D firms with missing data(2016-07-03) Khoshnevis, Pegah; Teirlinck, Peter; Hatami-Marbini, A.Item Open Access SME efficiency in transforming regional business research and innovation investments into innovative sales output(Taylor and Francis, 2022-04-04) Teirlinck, Peter; Khoshnevis, PegahBased on data provided by the Regional Innovation Scoreboard on 23 capital and 184 non-capital regions in Europe, slacks-based models of data envelopment analysis (DEA) reveal that the efficiency by which business research and innovation inputs are converted at regional-level aggregated innovative sales output in small and medium-sized enterprises was significantly lower in capital regions in the period 2006–14. In view of efficiency maximization, a majority of the capital regions overinvest in non-research and development innovation activities, are over-specialized in knowledge-intensive industries, and fall behind in converting research and innovation inputs in intermediary intellectual property outcomes.