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FUZZY ECONOMIC REVIEW

ISSN (print) 1136-0593 · ISSN (online) 2445-4192

Volume 29, Number 1, 2024

MAPPING INFLUENTIAL FACTORS IN CRYPTOCURRENCY ADOPTION: ISM AND MICMAC STUDY

Naina Goyal. University School of Applied Management, Punjabi University, Patiala, India. E-mail: nainagoyal0018@gmail.com

Nidhi Walia. University School of Applied Management, Punjabi University, Patiala, India. E-mail: nidhiwalia79@gmail.com

Poonam Bandha. University School of Applied Management, Punjabi University, Patiala, India. E-mail: poonambhardwaj948@gmail.com

This study aims to pinpoint the determinants that influence the acceptance of cryptocurrency as a vehicle for investment among individuals and to construct a framework utilizing the Interpretive Structural Modelling (ISM) method. The findings of the research suggest that the dominant factors, namely Gender, Level of Education, Legal Support, and…
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SUPPLIER SELECTION IN THE AUTOMOBILE INDUSTRY USING INTEGRATED FUZZY TOPSIS AND MULTI-CHOICE GOAL PROGRAMMING APPROACH FOR CIRCULAR ECONOMY

Bibhuti Bhusan Tripathy. Area of Operations Management, Institute of Management Technology, Nagpur, India. Email: btripathyr987@gmail.com

Sarbjit Singh Oberoi. Area of Operations Management, Institute of Management Technology, Nagpur, India. Email: sarbjitoberoi@gmail.com

Supplier selection is the most critical issue for automobile firms in improving their business performance in supply chain management. Supplier selection decisions involve various objectives or criteria with conflicting parameters. Thus, supplier selection is a multi-criteria decision-making (MCDM) problem that includes qualitative and quantitative factors. This study proposes an integrated…
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CONTRASTING INFLATION FORECASTS USING A QUANTILE APPROACH: DOES ONE METHOD FIT ALL?

Adrian Hernandez-del-Valle. Escuela Superior de Economía, Instituto Politécnico Nacional, Ciudad de México. Email: ahernandezva@ipn.mx

Carlos A. Carrasco. Departamento de Economía, Universidad de Monterrey, México. Email: carlos.carrasco@udem.edu

In recent months, a global surge in inflation rates has been attributed to numerous factors, including the Russian invasion of Ukraine and the impact of the COVID-19 pandemic. The dynamic and unforeseeable nature of these events poses a significant challenge to predictive models. Consequently, a persistent need arises to develop…
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NAVIGATING UNCERTAINTY: LEVERAGING FUZZY QUEUING MODELS TO REVOLUTIONIZE CUSTOMER EXPERIENCE IN BANKING

Tejinder Singh Lakhwani. School of Management & Entrepreneurship, Indian Institute of Technology, Jodhpur, Rajasthan, India. Email: lakhwani.1@iitj.ac.in

Barsha Shaw. Department of Mathematics, Indian Institute of Technology, Jodhpur, Rajasthan, India. Email: shawbarsha100@gmail.com

Customer wait times pose significant challenges in service environments such as banks, airports, hospitals, and petrol stations, making efficient queue management essential. While traditional queuing theory (e.g., M/M/1, M/M/s) has been widely used for queue optimization, it struggles to account for real-world uncertainties in customer arrivals and service durations. This…
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