Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

Rank-rank regression is commonly employed in economic research as a way of capturing the relationship between two economic variables. It frequently features in studies of intergenerational mobility as the resulting coefficient, capturing the rank correlation between the variables, is easy to...

Measuring the physical durability of garments is difficult and current assessment methods lack objectivity and reliability or don't reflect the complex nature of durability for different garment categories. This study presents a novel and reproducible methodology for testing and ranking the...

An alternative approach for the panel second stage of data envelopment analysis (DEA) is presented in this paper. Instead of efficiency scores, we propose to model rankings in the second stage using a dynamic ranking model in the score-driven framework. We argue that this approach is suitable to...

Purpose: The World Bank's "Ease of Doing Business" index, among other business rankings, can help a country's economic progress by attracting foreign investments, encouraging entrepreneurship, and improving the business climate. Superior rankings indicate an optimised environment for business...

This study investigates the effects of city size and administrative rank on rural-urban migration in China and examines the factors that influence the city size effect. We focus on unemployed while job-seeking migrants. Using data from the China Migrants Dynamic Survey for 2016 and 2017, we find...

The ranking system within academic environments may impact future professional trajectories. Examining the influence of class rank on college students' managerial attainment is crucial for understanding some determinants of career advancement. This paper estimates the effect of a low rank in a...

This study presents a novel approach to arithmetic operations and ranking of Generalized Fuzzy Numbers (GFNs) for decision-making under uncertainty. Traditional methods often yield irrational outputs when dealing with GFNs, especially in complex situations where precision and clarity are...

This study presents a hybrid fuzzy Multi-Attribute Group Decision Making (MAGDM) model with application to commercial insurance selection. The proposed hybrid model uses Spherical Fuzzy (SF) sets using Yager t-norm and t-conorm operations. The Logarithmic Decomposition of Criteria Importance...

Narratives drive consumer satisfaction on the one hand and the reputation of the reporting media on the other hand, but current research addresses either alone. This article integrates the narrative of the consumer and the ranking of the reporting media to understand the consumer satisfaction in...

Over the past decade, sentiment analysis has emerged as a pivotal tool in tourism-related texts, driven by the sheer volume of tourist attractions and the wealth of online information. Tourists increasingly turn to travel websites to access specific information that often eludes standard...

The national economy of each country and its long-term development depend on the quality of the human resources. The higher education sector is one of the most important factors in building a highquality workforce. It is exactly because of the importance of higher education institutions that...