Jay Daniel
Dr Jay Daniel is a Programme Leader for MSc Global Operations and Supply Chain Management and Senior Lecturer at the University of Derby, UK. Before joining the Derby Business school, he was a lecturer in Supply Chain and Information Systems at the University of Technology Sydney (UTS), Australia. Previously with DB Schenker, Australia, and Alliance International Registrar, Asia Pacific, Jay held positions of Senior Management Consultant, Supply Chain Solution Analyst, Project Manager, Industry Trainer and Lead Auditor. He has published over 60 refereed papers in many prestigious journals and international conferences such as IEEE Transactions on Fuzzy Systems, International Journal of Information Management, Service Research and Innovation, amongst others. His primary areas of research focus are: Supply Chain Management and Business Analytics, Sustainable Supply Chain and Information Technology/Systems, Blockchain and Industry 4.0 (Artificial Intelligent, IoT, ...) and Healthcare Supply Chain Management. Dr Daniel is serving on the editorial board of several top journals such as Australasian Journal of Information Systems (ERA rank A), Quality Management Journal, Operations Management Research, etc. and on several leading scientific/program committees of national/international conferences. His research is funded by government agencies and industry collaborators around the World. Dr Daniel has been invited as a keynote speaker/invited speaker at international industry and academic workshops and conferences around the globe such as Keynote Speaker at Oracle Modern Business Experience Conference (Australia), and Worldclass speaking about sustainable Supply chain at IISRP (US, France, Italy, China, Korea, Russia, Germany, Japan, Austria, etc.) Dr Daniel is honoured to be included in the Top 50 Thought Leaders and Influencers on Supply Chain developed by thinkers 360.
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Papers by Jay Daniel
research has employed a literature survey of related papers published between 2012 and 2016 within 16 A* indexed journals that are relevant to Information and Computing Science, Transportation/Freight Services and Manufacturing Engineering. Findings show that sustainable supply chainnetwork structure, impact factors, relationship integration and performance evaluation are the mainresearch topics in these streams. The role of decision-making tools within each discipline, the key methodologies and techniques are discussed. Generally speaking, primary challenges in the sustainable supply chain domain devolve from use of inadequate decision-making tools and inappropriate information
systems. The holistic picture presented in this paper is important for helping scholars, system developers, and supply chain analysts to become more aware of current grand challenges and future research opportunities within this field.
Keywords: Sustainable Supply Chain, Sustainability, Environmental and Social, Literature Survey
strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-
Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of
strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic
plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model.
research has employed a literature survey of related papers published between 2012 and 2016 within 16 A* indexed journals that are relevant to Information and Computing Science, Transportation/Freight Services and Manufacturing Engineering. Findings show that sustainable supply chainnetwork structure, impact factors, relationship integration and performance evaluation are the mainresearch topics in these streams. The role of decision-making tools within each discipline, the key methodologies and techniques are discussed. Generally speaking, primary challenges in the sustainable supply chain domain devolve from use of inadequate decision-making tools and inappropriate information
systems. The holistic picture presented in this paper is important for helping scholars, system developers, and supply chain analysts to become more aware of current grand challenges and future research opportunities within this field.
Keywords: Sustainable Supply Chain, Sustainability, Environmental and Social, Literature Survey
strategic management performance which translates strategy into action via various sets of performance measurement indicators. The main objective of this research is to develop a new fuzzy group Multi-
Criteria Decision Making (MCDM) model for strategic plans selection process in the BSC. For this to happen, the current study has implemented linguistic extension of MCDM model for robust selection of
strategic plans. The new linguistic reasoning for group decision making is able to aggregate subjective evaluation of the decision makers and hence create an opportunity to perform more robust strategic
plans, despite of the vagueness and uncertainty of strategic plans selection process. A numerical example demonstrates possibilities for the improvement of BSC through applying the proposed model.