Businesses should make an examination to find the critical actions to make crypto assets environmentally friendly. This situation can help crypto assets to be environmentally friendly while keeping costs within a reasonable range. Accordingly, in …

We use a computationally efficient logistic Continuous Wavelet Transform (CWT) technique to analyze patent data for Switzerland, Germany, the United States, and Brazil for the period 1980–2021. We find that patent growth dynamics follows the …

This paper focuses on one of the recent theoretical contributions to the analysis of public policies: discursive institutionalism (DI). It aims to define elements of research approaches for empirical papers that refer to DI. We answer two main …

A new improved calibration estimator for the population mean in a stratified sampling in the presence of an outlier in the auxiliary variable was proposed in this paper. The median of the auxiliary variable was used to define the calibration …

This study aims to examine the long-term efficiency pattern of Indian banks. To gauge efficiency scores, we employed a non-parametric DEA-based technique using metafrontier framework and estimated three efficiency measures, namely, overall …

Language-based text provide valuable insights into people’s lived experiences. While traditional qualitative analysis is used to capture these nuances, new paradigms are needed to scale qualitative research effectively. Artificial intelligence …

The study investigates the effect of FinTech on financial inclusion in sub-Saharan Africa (SSA). The study adopts a battery of econometric techniques such as the traditional ordinary least square (OLS) estimation technique, two-step system GMM …

Academic resilience (AR) could function as a preventative factor in mitigating a potential risk of the rising prevalence of excessive screen time and multi-screen addiction (MSA) among adolescents. The study examines the relationship between MSA …

Global awareness of environment-related problems is progressively becoming a priority for public authorities all around the world. This led to the creation of environmental policies and a frequent sensitisation of citizens to the risks, associated …

In higher education, teacher feedback has increasingly been replaced or complemented with peer feedback. But, when students lack motivation, they may not participate in the peer feedback activity adequately, and, thus, the activity may not have …

Estimators of population parameters which utilized only information of the study variable tend to be sensitive to outliers or extreme values that may characterize sampling information due to randomness in selection thereby making them to be less …

Tourism in Mexico contributes to GDP and employment, but has environmental costs in terms of carbon emissions from air transport. The estimation of the carbon footprint of tourists arriving by air is crucial to raise awareness among decision …

In today’s competitive market, to manage projects effectively is crucial for the success of any organization. This paper focuses on the financial sector, a domain where the complexity and need for regulatory compliance underscore the significance …

This research introduces memory-based logarithmic imputation techniques and the resulting estimators to address missing data within the temporal surveys. The mean square error of the resulting memory type estimators is reported to the first order …

Public–Private Partnerships (PPPs) have become essential in addressing infrastructure and sustainability challenges by leveraging strengths from both the public and private sectors. This systematic literature review (SLR) examines several studies …

This study investigates the complex dynamics of consumer-brand relationships by examining the influence of masstige and social value on attitudinal and behavioral loyalty. Drawing on a comprehensive theoretical framework, current study employs a …

This paper investigates the impact of Chinese development projects on the change of land covering in the African continent over the years 2000-2017 by means of a new gridded dataset. The geo-referenced panel dataset matches information on Chinese …

The study aims to introduce an efficient stochastic framework to optimize the availability of the doormat manufacturing plants along with the reliability, availability, maintainability, & dependability as well as steady state analysis of the …

Topic modeling is a popular machine learning technique in natural language processing for identifying themes within unstructured text. One of the most prominent methods for this purpose is Latent Dirichlet Allocation (LDA), which can automatically …

It is widely believed that stress can affect teachers’ intention to change the workplace. This study investigates the implementation of educational policies and reforms as one of the key determinants of teachers’ intention to leave schools in …