Financial digitization is an irreversible phenomenon. The objective of this study is to construct the Digital Financial Capability Scale (DFCS). Starting with the development of a definition, we created a multidimensional scale composed of digital financial knowledge, digital financial behavior, and digital financial confidence. The validation process involved a qualitative stage, consisting of focus groups, expert validation, and pre-testing, and a quantitative stage, with exploratory and confirmatory factor analyses and structural equation modeling. The DFCS assesses an individual’s perception of their ability to apply financial knowledge, adopt appropriate financial behaviors, and feel confident in making financial decisions in a digital environment. The final version of the DFCS consists of a set of 33 items divided into the three dimensions. The scale can be very useful for researchers who wish to study financial capability in the digital environment, for financial agents to evaluate clients, and for assessing the outcomes of public policies aimed at enhancing the financial capability of the population.

This work aims to create and validate the digital financial knowledge scale (DFKS). Three studies were carried out, including a focus group, expert validation, pre-testing, and the application of item response theory. From these procedures, two versions of the scale were constructed and validated. An evaluation and classification methodology was proposed. Two versions for measuring digital financial knowledge are presented. The long version is composed of 40 items and the short version has 26 items. Applying the proposed methodology, it is possible to classify the level of digital financial knowledge as low, intermediate, or high. The DFKS can be useful for both financial system agents and governments and researchers, who can use it in different contexts. In the banking sector, identifying the level of digital financial knowledge can reduce risks, as losses suffered by clients due to an uninformed adoption of digital banking services break the relationship of trust and can lead to lower financial inclusion.

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 expert evaluation and pre-testing, aiming at the semantic and face validation of the items. This study resulted in 80 items forming the thirteen dimensions of organizational climate. The third study obtained the first quantitative sample for the exploratory validation phase of the scale. The final study, using a new sample, conducted confirmatory tests for the validation of the scale. A methodology for applying the scale was developed, allowing all interested parties to use the OCPS-PS for the assessment of the organizational climate in public service. The results of the four conducted studies indicate the adequacy of the OCPS-PS according to the proposed criteria of validity and reliability. Finally, the OCPS-OS was built to be applied in different public organizations and at different government levels.

This article investigates the determinants of behavioral intention and perceived trust in the use of digital financial channels. Descriptive statistics and structural equation modeling were used, with a diverse sample of 674 participants. The results indicate that performance expectancy and facilitating conditions have positive effects on the behavioral intention to use digital financial channels. In contrast, effort expectancy did not demonstrate a significant influence, while social influence had a negative effect on behavioral intention. However, effort expectancy and social influence positively impacted perceived trust. These findings suggest that users tend to show greater intention to use digital financial channels when they have greater availability of resources and technical infrastructure, as well as ease of access and perceived trust. Therefore, financial sectors, information systems developers and government bodies should establish policies, applications and regulations that promote trust in the intended use of digital financial channels.

This study introduces a multidimensional framework designed to assess Digital Public Service Quality (PS-DigQual) within e-government systems. The proposed framework integrates three pivotal dimensions: System Quality (QSt), Operation Quality (QOp), and Information Quality (QInf). QSt ensures a robust technical foundation through infrastructure reliability, navigability, and compliance with accessibility standards. QOp focuses on responsiveness, personalization, and user support to enhance service delivery. QInf emphasizes transparency, accuracy, and the timely availability of information, thereby fostering trust and accountability. Addressing gaps in traditional models such as SERVQUAL and E-S-QUAL, the framework adapts to the unique requirements of public digital services, where transparency, inclusion, and citizen engagement are critical. The research methodology is grounded in a systematic literature review and bibliometric analysis, spanning publications from 1990 to January 2025. This approach ensures a comprehensive theoretical foundation and identifies critical gaps in existing frameworks. The study further applies the PS-DigQual framework in practical scenarios, demonstrating that improvements in one dimension positively impact others, creating a cycle of continuous enhancement. Key contributions include a scalable analytical tool for policymakers and a robust foundation for further academic inquiry. The framework’s adaptability allows it to be tailored across different cultural and institutional contexts, with the potential for incorporating emerging technologies such as artificial intelligence and blockchain. By promoting efficiency, transparency, and inclusion, PS-DigQual represents a significant advancement in evaluating and improving digital public services. The study concludes with suggestions for future research, emphasizing the development of measurement scales and strategies to ensure sustainable public value in the digital era.

RESUMO Os indivíduos tomam decisões a todo momento, de caráter simples ou complexo, de forma rápida ou demorada, da pequena ou grande disponibilidade de informações, de natureza única ou constante, entre outros aspectos. Buscando compreender a lógica de desenvolvimento do processo de decisão das pessoas, diversos modelos foram propostos por estudiosos. O presente estudo objetiva realizar a tradução, adaptação transcultural e validação para o contexto brasileiro do Inventário Geral de Estilos de Tomada de Decisão - GDMS. Para tanto, o instrumento passou por seis etapas de tradução e adaptação e, em seguida, após a realização do pré-teste, a versão final do instrumento foi aplicada em um estudo piloto com uma amostra de 250 indivíduos. A partir dos dados encontrados, procedeu-se à análise fatorial exploratória, visando validar a versão final do questionário. Por fim, concluiu-se que o modelo proposto neste estudo se demonstrou adequado à investigação do construto estilos de tomada de decisão individual, apresentando validade e índices de confiabilidade apropriados. A referida escala pode ser ainda utilizada em novas pesquisas na área de Administração e afins, ampliando o conhecimento sobre o tema.