Agent-Based Models (ABMs) provide powerful tools for economic analysis, capturing microto-macro interactions and emergent properties. However, integration with empirical data has been a persistent challenge. To address it, we propose a protocol for integration between empirical data and ABM,...

Agent-Based Models (ABMs) provide powerful tools for economic analysis, capturing microto-macro interactions and emergent properties. However, integration with empirical data has been a persistent challenge. To address it, we propose a protocol for integration between empirical data and ABM,...

Background: Simulation of business processes allows decision-makers to explore the implications and trade-offs of alternative approaches, policies and configurations. Trust in the simulation as a stand-in proxy of the real system depends on the validation of the computer model as well as on that...

Groundwater, the world's largest freshwater supply, is facing increasing strain due to various uses such as agriculture, industry, livestock, and household. This study aims to investigate groundwater prospective zonation in the Bandu Sub-watershed in Purulia, West Bengal, using the AHP model and...

Various corporate groups, such as third-sector institutions in Latin America, have shown increasing interest in evaluating organizational performance as a possible strategy for increasing their effectiveness and competitiveness. From this perspective, this study analyzes the psychometric...

Skill mismatch is a key indicator of labour market research that has received significant attention. To date, various approaches of test-based measurement of skill mismatch have been used in research, generating differing results. However, it remains unclear which method is the most valid for...

This research sheds light on two crucial yet overlooked aspects of work interruptions: the perspective of employees who initiate interruptions and the reasons behind those interruptions. Building on earlier research on interruptions and theories on employee motivation, we identified six key...

Gender bias still appears to contribute significantly to the gender disparity observed in upper leadership positions. The present study presents the translation, modification, and validation of the Gender Bias Scale for Women Leaders (GBSWL, Diehl et al., 2020 ) into German and Spanish. Using...

This research presents four studies that developed and validated the Organizational Climate Perception Scale for Public Service (OCPS-PS). The first qualitative study consulted the literature and conducted a focus group to develop the initial version of the scale. The second study involved...

Business organizations are forced to prioritize ensuring corporate shared prosperity (CSP) through enhancing corporate sustainability performance and stakeholder’s betterment. There is a lack of comprehensive and quantifiable measurement of CSP and existing studies are conceptual and case...

Objective: The objective of the article is to validate a model of the factors, namely ethical responsibility, social responsibility, bank trust, attitude, and brand loyalty, that influence the behavioural intentions of consumers to continue using banking services. Research Design & Methods: This...

Skill mismatch is a key indicator of labour market research that has received significant attention. To date, various approaches of test-based measurement of skill mismatch have been used in research, generating differing results. However, it remains unclear which method is the most valid for...

We present a statistical test for the long-term calibration in rating systems that can deal with overlapping time windows as required by the guidelines of the European Banking Authority (EBA), which apply to major financial institutions in the European System. In accordance with regulation,...

This research presents four studies that developed and validated the Organizational Climate Perception Scale for Public Service (OCPS-PS). The first qualitative study consulted the literature and conducted a focus group to develop the initial version of the scale. The second study involved...

Business organizations are forced to prioritize ensuring corporate shared prosperity (CSP) through enhancing corporate sustainability performance and stakeholder's betterment. There is a lack of comprehensive and quantifiable measurement of CSP and existing studies are conceptual and case study...

We provide evidence on the extent to which survey items in the Preference Survey Module and the resulting Global Preference Survey measuring social preferences—trust, altruism, positive and negative reciprocity—predict behavior in corresponding experimental games outside the original...

A growing body of evidence suggests that digital literacy is an important barrier constraining adoption and use of Internet and digital technologies in the developing world. By enabling people to effectively find valuable information online, digital literacy can play a crucial role in expanding...

We provide evidence on the extent to which survey items in the Preference Survey Module and the resulting Global Preference Survey measuring social preferences - trust, altruism, positive and negative reciprocity - predict behavior in corresponding experimental games outside the original...

We provide evidence on the extent to which survey items in the Preference Survey Module and the resulting Global Preference Survey measuring social preferences - trust, altruism, positive and negative reciprocity - predict behavior in corresponding experimental games outside the original...

A growing body of evidence suggests that digital literacy is an important barrier constraining adoption and use of Internet and digital technologies in the developing world. By enabling people to effectively find valuable information online, digital literacy can play a crucial role in expanding...

Popular models for time series of count data are integer-valued autoregressive (INAR) models, for which the literature mainly deals with parametric estimation. In this regard, a semiparametric estimation approach is a remarkable exception which allows for estimation of the INAR models without...

We propose a general protocol for calibration and validation of complex simulation models by an approach based on discovery and comparison of causal structures. The key idea is that configurations of parameters of a given theoretical model are selected by minimizing a distance index between two...

Accurate and reliable precipitation data with high spatial and temporal resolution are essential in studying climate variability, water resources management, and hydrological forecasting. A range of global precipitation data are available to this end, but how well these capture actual...

Measurement errors are often a large source of bias in survey data. Lack of knowledge of the determinants of such errors makes it difficult for data producers to reduce the extent of errors and for data users to assess the validity of analyses using the data. We study the determinants of...

We provide new evidence on the extent that survey items in the Preference Survey Module and the resulting Global Preference Survey measuring social preferences − trust, altruism, positive and negative reciprocity − predict behavior in corresponding experimental games outside the original...