Joseph Arhavbarien | Green Operations | Best Researcher Award

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Dr. Joseph Arhavbarien | Green Operations | Best Researcher Award

Director / Researcher, Rockedge Ventures (UK) Ltd, United Kingdom

🌱📊 Dr. Joseph Arhavbarien is an accomplished researcher with a Ph.D. in Business and Management from the University of Bedfordshire, UK. With over three decades of industrial experience, he focuses on green processes, sustainable operations, and supply chain management. Transitioning to academia, he combines his rich industrial background with his academic expertise to teach and conduct research, applying quantitative techniques to explore green value internalisation.

Profile

ORCID

📚 Education:

🎓 Dr. Arhavbarien holds a Ph.D. in Business and Management from the University of Bedfordshire (2023). He earned his MBA in International Business from the University of East London (2015) and a B.Sc. (Hons) in Microbiology from the University of Lagos, Nigeria (1989). Additionally, he has a Certificate in Agile Project Management from the University of Oxford (2023).

💼 Experience:

💼 Dr. Arhavbarien’s diverse professional journey includes roles in retail, manufacturing, logistics, and consultancy. Notably, he has worked with Tesco, Morrisons, Gosh Food Ltd, and FedEx, where he led teams, managed operations, and drove continuous improvement initiatives. His expertise spans statistical analysis, project management, and sustainable business practices.

🔬 Research Interests:

🔍📈 Dr. Arhavbarien’s research interests are centered on green value internalisation, sustainable operations, and supply chain resilience. He employs quantitative methods and tools like Qualtrics and SPSS/AMOS to analyze data, aiming to develop green criteria for stakeholder engagement and enhance eco-efficiency in industrial operations.

🏆 Awards:

🏆 Dr. Arhavbarien has been recognized for his academic and professional contributions. A notable achievement includes guiding an M.Sc. student to win the 2023 Logistics Research Network CILT (UK)’s MSc Dissertation of the Year award, reflecting his ability to inspire and mentor students.

Publications

📚 “An investigation of antecedents and consequences of green value internalisation among sampled UK enterprises” – Journal of Environmental Management, 2024

📄 “An examination of antecedents of green value internalisation for firm-level supply chain collaboration” – British Academy of Management (BAM) 2022 Conference, Alliance Manchester Business School, UK.

📄 “Green supply chain management: an investigation of firm-level antecedents of green value internalisation” – 29th European Operations Management Association (EurOMA) Conference, Berlin, Germany, 2022.📄 “An investigation of firm-level antecedents of green value internalisation for Upstream-Downstream supply chain interactions” – 32nd Production and Operations Management Society (POMS) Conference (online), 2022.

Danyal Aghajani | Supply Chain Management | Best Researcher Award

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Mr. Danyal Aghajani | Supply Chain Management | Best Researcher Award

Ph.D. student/Junior researcher, Lappeenranta University of Technology, Finland

Danyal Aghajani is a dedicated Ph.D. student at Lappeenranta University of Technology with a profound interest in optimization, uncertainty programming, and supply chain modeling. He holds a Master’s degree in Industrial Engineering from Iran University of Science and Technology and a Bachelor’s degree in the same field from Islamic Azad University. His career spans various teaching, research, and industry roles, reflecting a robust blend of academic prowess and practical expertise.

Profile

Google Scholar

 

💼 Experience:

His diverse experience includes teaching Quantitative Models and Methods in Logistics and mentoring case study courses. In industry, he serves as a human resource manager and has previously worked in project control management and engineering departments. His voluntary work includes contributions to Mahak, a charity supporting children with cancer.

🔬 Research Interests:

Danyal’s research interests span optimization in mathematical programming, uncertainty programming (robust, fuzzy, and stochastic), data science, machine learning, and supply chain modeling in energy and food sectors. He is particularly focused on decision-making under uncertainty and sustainable supply chain design.

🏆 Awards:

He ranked in the top 1% in the Master’s degree National University Entrance Examination among over 10,000 participants, earning a full scholarship in 2016. Additionally, he secured the second rank in a memorizing competition in Tehran in 2010.

Publications

📄 A Sustainable Integrated Model for Multi-Objective Planning of an Agri-Food Supply Chain under Uncertain Parameters: A Case Study – Accepted at Computers and Chemical Engineering, cited by 5 articles.

📄 A Review of Digital Platform and Circular Economy: Opportunities and Challenges for Developing Countries – Accepted at Taylor & Francis, 2023, cited by 3 articles.

📄 AI Implementation in Innovation Processes: An Uncertainty Perspective – In progress, expected publication in 2024.

📄 A Circular Data-Driven Mathematical Model for Multi-Objective Agri-Food Supply Chain Design Considering GIS Method: Stevia – In progress.📄 A Hybrid Sustainable Biomass Supply Chain Design Using ML Algorithms, GIS Methods, and Robust Modeling – In progress.