About 

Short Biography 

Md Nekmahmud (Argon) is a PhD research fellow in the Doctoral School of Economic and Regional sciences, Hungarian University of Agriculture and Life Sciences (MATE), Budapest, Hungary. He is also working as a research assistant at the Institute of Agricultural and Food Economics, MATE. He was awarded a Fully funded PhD scholarship in Hungary, Europe. Before starting his PhD, he got a Chinese Road and Belt master’s scholarship in Corporate Management at the University of Chinese Academy of Sciences funded by the world's top research institution Chinese Academy of Sciences, China, and Sino-Danish Centre, Denmark. In 2018, he completed his MBA, BBA in marketing with the top-scorer tag from Begum Rokeya University, Bangladesh. He got an invitation to attend the 9th World Science Forum 2019 conference in Europe session and Prague European Summit-2020, Prague.  Nekmahmud has published his research in top-tier journals listed by ABDC and CABS, as well as several book chapters in SpringerNature, Routledge, Taylor & Francis, Springer. He published many articles in the Q1, Q2 rank, and CABS listed top-tier journals with high impact factors (e.g., Technological Forecasting and Social Change, Sustainable Production and Consumption, Tourism Management Prospective, Journal of Environmental Management etc.). His personal Impact factor is almost 60. He is a regular reviewer for top-tier journals, e.g., Journal of Retailing and Consumer Services, Journal of Cleaner Production, Technological Forecasting and Social Change, Journal of Foodservice Business Research, Young Consumers, Asia Pacific Management Review, and so on. He is also the article editor of SAGE Open Journal.  He also received research and training grant from European Union. His research areas include environmental marketing, environmental psychology (pro-social & pro-environmental behavior), sustainable consumption, sustainable tourism, circular economy, AI in marketing, and Structural  Equation model. He is using Smart PLS, R program with correlation matrix, SEM, NCA, MGA, and PLS Modeling. 

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