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...

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...

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...

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...

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...

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 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...

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...

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...

We propose a new rank-based test for the number of common primitive shocks, q, in large panel data. After estimating a VAR(1) model on r static factors extracted by principal component analysis, we estimate the number of common primitive shocks by testing the rank of the VAR residuals'...

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 investigates determinants of Egyptian SMEs financial failure predictability based on a sample of 32 failure SMEs and 28 non-failure SMEs for the period 2013 and 2019. The determinants of SMEs financial failure are categorized into four groups; Working Capital, Asset Structure,...

Prior studies intensively rely on lifestyle segmentation to investigate the patterns of purchase and consumption decisions. However, the literature does not specifically relate lifestyle profiles with the types of consumer decisions (i.e., purchasing vs. consumption decisions). Therefore, this...

Since the outbreak of the COVID-19 pandemic, there have been 1 billion identified cases and more than 2 million deaths around the world. The current global problem of the pandemic, with the introduction of unpopular measures such as border closures and total quarantine, revealed a dilemma...

Objective: The objective of the article is to explore the enablers for technology entrepreneurship and model them into a contextual relationship through a qualitative approach. Moreover, the article presents a guiding framework for adopting technology startup by budding entrepreneurs through...

We assess the predictive ability of 15 economic uncertainty measures in a real-time out-of-sample forecasting exercise for the quantiles of The Conference Board's coincident economic index and its components (industrial production, employment, personal income, and manufacturing and trade sales)....

In the last decades, Albania has started the implementation of a new practice which is partnership with the private sector, named public-private partnership (PPP), due to the inabilities of the public sector to fulfill all its public needs. This represents a crucial ratio related to economic...

As a growing industry in Iran, the insurance industry has dramatically grasped researchers’ and managers’ attention. Among the various issues in this industry, measuring and evaluating the efficiency and performance of its units and branches has always been considered by relevant experts...

According to a strong and diversified theoretical framework, innovation is one of the usual suspects in defining differences in firm performance. Understanding the diversity that exists within the population of innovative firms is essential for developing appropriate innovation policies. Our...

The pandemic has accelerated the search for innovative product/process/service solutions in city markets as well as the search for “open innovation challenges” more in line with current needs. The aim of the research is to understand the adaptation mechanisms of the local food system and, in...

The objects of study of the humanities and social sciences are intrinsically complex. Because it is philosophically attractive, and because it helps in practice to manage such complexity, one of the most influential central ideas throughout the history and present of these disciplines is the...

Factor modelling extracts common information from a high-dimensional data set into few common components, where the latent factors usually explain a large share of data variation. Exploratory factor estimation induces sparsity into the loading matrix to associate units or series with those...

Globally, countries are engaged in developing strategies and undertaking initiatives for green transitioning of the financial system and achieving net-zero targets by 2050. Green transitioning of the financial system includes boosting green finance (GF) and green investment (GI) in the country....

We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...