Background: Team viability, understood as the ability to adapt and collaborate effectively over time, is a key concept in organizational literature. In Peru, where changes are constant, culturally adapted tools are needed for its measurement. Objective: To translate and validate a team viability...

The literature on financial openness is rich, yet the selection of a suitable financial index remains a challenge. In this paper, Principal Component Analysis (PCA) and Factor Analysis (FA) are utilized to reduce the dimensionality of five publicly available financial openness indices. The...

This article aims to provide new and robust evidence of the effect of air pollution on migration at the level of 70 European cities in the period 2004-2019. We use factor and regression analysis and panel data conducted from Eurobarometer, Eurostat, national statistical offices, and the European...

This study examined the factor structure of Green, Grey, and Red EU securities using extended asset pricing models built on the Fama–French and Carhart frameworks. The findings show improved return predictability and consistently negative risk-adjusted alpha across categories post-Global...

This paper proposes a nonparametric estimator of the spot volatility matrix with high-frequency data. Our newly proposed Positive Definite Fourier (PDF) estimator produces symmetric positive semi-definite estimates and is consistent with a suitable choice of the localizing kernel. The PDF...

The purpose of this study was to investigate the relative importance of determinants that should be considered first in order for container terminals to realize carbon neutrality and become an eco-friendly port. Three upper determinants and 12 lower determinants were derived through the...

This study aims to understand the attributes of electronic service quality and tries to build the connection between the quality of electronic service, the happiness of consumers, their retention, and loyalty in the context of the consumer e-commerce industry in India. The attributes chosen to...

The second-hand clothing (SHC) market has seen dynamic expansion, driven by shifts in consumer attitudes. However, motivations underlying customer engagement in this market remain largely unexplored. Accordingly, this study investigates factors driving consumer sentiment towards buying used...

Destructive leadership behaviors and their effects on the organization have received little attention in terms of research & theory development. As a result, the purpose of this article is to investigate the prevalence and determinants of destructive leadership behavior from the quantitative...

In this paper, we investigate the information and communication technology (ICT) usage patterns of Hungarian companies, relying on a company-level questionnaire survey conducted in 2020, and combining it with data from corporate annual reports. Our main objective is to construct an index of ICT...

The main objective of the presented research is to verify the influence of demographic factors on retail customers’ bank selection criteria in Poland. We compiled descriptive and inferential statistics and did factor analysis using Principal Component Analysis. Our dataset is based on a sample...

The dynamic development of the digitized society generates large-scale information data flows. Therefore, data need to be compressed in a way allowing its content to remain complete and informative. In order for the above to be achieved, it is advisable to use the principal component method...

Objective: We aim to verify the dimensionality of the total rewards (TR) model, the idea that employees' compensations do not consist only of money but encompass all financial and non-financial values that employees received from their work. Research Design & Methods: Drawing inspirations from...

Purpose - This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis. Design/methodology/approach We employ a...

Background: Team viability, understood as the ability to adapt and collaborate effectively over time, is a key concept in organizational literature. In Peru, where changes are constant, culturally adapted tools are needed for its measurement. Objective: To translate and validate a team viability...

This study investigates intergenerational educational immobility and its transmission channels in four developing countries: Ethiopia, India, Peru, and Vietnam. From data elicited throughout children's childhood, we extract latent factors of children's attributes and their environments. We...

Purpose - This paper aims to develop and validate a comprehensive scale for measuring consumer perceptions towards social commerce (S-Commerce). With the growing prominence of social media platforms in electronic commerce (e-commerce), understanding consumer perceptions and attitudes is...

We propose an observation-driven dynamic common factor model for missing value imputation in high-dimensional panel data. The model exploits both serial and cross-sectional information in the data and can easily cope with time-variation in conditional means and variances, as well as with either...

This study integrates the Logistics Performance Index (LPI), Worldwide Governance Indicators (WGI), and Human Development Index (HDI) through Multiple Factor Analysis (MFA) and hierarchical clustering to create a comprehensive perspective on global development. By clustering countries based on...

This paper explores the hypothesis that the returns of asset classes can be predicted using common, systematic risk factors represented by the level, slope, and curvature of the US interest rate term structure. These are extracted using the Nelson-Siegel model, which effectively captures the...

This study develops and validates an innovation management framework based on the integration of dynamic capabilities and multidimensional innovation process factors. A mixed-methods approach was employed, combining a quantitative survey of 267 respondents from the Porto Digital ecosystem with...

Purpose This study aims to explore the asymmetric effects of macroeconomic factors on the profitability of large-cap companies in an emerging country like Colombia, using the Morgan Stanley Capital International (MSCI) Colombia index as the basis. Design/methodology/approach We employ a...

In this paper, we propose a component-based dynamic factor model for nowcasting GDP growth. We combine ideas from "bottom-up" approaches, which utilize the national income accounting identity through modelling and predicting sub-components of GDP, with a dynamic factor (DF) model, which is...

This study examines the impact of agile practices on supply chain performance measurements in manufacturing firms. Following COVID-19, there have been operational and logistics disruptions in manufacturing firms and supply chains worldwide. We study the link between supply chain performance and...

The United Nations established Sustainable Development Goals (SDGs) to address resource depletion, global warming, and other environmental issues caused by profit-driven economic activities. In line with the sustainability mission, this study examines the financial factors influencing the...

We utilize Bayesian model averaging to estimate a stochastic discount factor (SDF) for single-stock options. A Bayesian model averaging SDF outperforms reduced-form benchmark models in-sample and out-of-sample in pricing option return anomalies and portfolios. We document that the SDF is dense...