The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.

Name ambiguity is a common problem in many bibliographic repositories affecting data integrity and validity. This article presents an author name disambiguation (AND) literature review using the theory of the consolidated meta-analytic approach, including quantitative techniques and bibliometric aspects. The literature review covers information from 211 documents of the Web of Science and Scopus databases in the period 2003 to 2022. A taxonomy based on the literature was used to organize the identified approaches to solve the AND problem. We identified that the most widely used AND solving approaches are author grouping associated with similarity functions and clustering methods and some works using author assignment allied to classification methods. The countries that publish most in AND are the USA, China, Germany, and Brazil with 21%, 19%, 13% and 8% of the total papers, respectively. The review results provide an overview of AND state-of-the-art research that can direct further investigation based on the quantitative and qualitative information from the AND research history.

Navigating the intertwined challenges of digital transformation, sustainability, education, and social inclusion is crucial for equitable global progress. This study contributes to this challenge by presenting an integrative model based on a systematic review of the scientific literature exploring their intersection. Following the Consolidated Meta-Analytical Approach Theory (TEMAC) methodology, core studies from the Scopus and Web of Science databases were systematically selected using strict inclusion criteria and Kappa index reliability testing. The review identified five key research fronts: digital inequality, inclusive education, public policies and infrastructure, digital accessibility, and sustainable educational models. These findings collectively reveal how improving digital access, fostering inclusive governance, and ensuring equitable education emerge as interconnected drivers of sustainable development. In this regard, the proposed model aligns with the broader objectives of the United Nations Sustainable Development Goals, offering a multidimensional framework to guide future research and inform the development of effective public policies for sustainable digital education.

Purpose: This study aims to propose and test a research framework for analyzing the relationship between new product development (NPD) best practices and performance in companies that belong to innovative industries in Brazil.Design/methodology/approach: A quantitative survey was conducted, involving several industries, including agricultural machinery, automotive and pharmaceutical. Data was analyzed through multiple linear regression.Findings: Among the best practices investigated, the main results show that “innovative culture” and “project climate” are factors that significantly affect the performance of the NPD.Research limitations/implications: The choice of best practices can be considered a major limitation of this study, as this is a dynamic concept depending on a continuous analysis that must take into account the economic and technological environment.Practical implications: This study highlights a relationship between an innovative culture and performance. Some practices may be adopted to address an innovative culture, such as stimulating employee creativity, acceptance and partnership with external actors for the joint development of technologies and employee involvement with NPD.Originality/value: The findings expand the debate on best practices in NPD and innovation management by presenting results on the topic in an emerging country, in this case, Brazil.

Urban Freight Transport (UFT) is responsible for moving goods in urban areas to meet citizens’ demands, which makes it essential for economic development. Simultaneously, UFT contributes to adverse impacts on society and the environment, including congestion and pollution. This paper assesses how the urban infrastructure and UFT externalities influence the residents’ quality of life. Three major assumptions were considered: (i) Public managers are responsible for the urban infrastructure, which is also influenced by businesses; (ii) UFT leads to negative externalities, which are influenced by government actions; and (iii) both infrastructure and externalities influence the residents’ quality of life. The analysis is based on a web-based survey conducted with residents of Brasília, Brazil. Structural Equation Modelling with Partial Least Squares was used to analyze the data. Findings showed that the residents’ quality of life is negatively influenced by UFT externalities and positively influenced by the urban infrastructure. Furthermore, both public and private management have more influence on externalities when compared to urban infrastructure. Finally, road capacity, proper loading and unloading, and supervision should be prioritized to improve citizens’ quality of life in Brasília.

Prior literature recognizes two schools of thought on value creation in projects: one based on transaction cost economics and the other on relational-based theories. There is little empirical research on the impacts of these approaches within different project contexts. This study aims at analyzing the effect of value creation processes on the project value moderated by requirements uncertainty and project complexity, two critical contextual variables. We used a cross-sectional survey to collect data from 168 project managers in Chile. Three groups were distinguished from a cluster analysis considering the requirements uncertainty and project complexity. A proposed conceptual framework is validated globally and for each group through a multigroup analysis via partial least squares structural equation modeling (PLS-SEM). The global model results indicate an R² of 0.37, and for the groups, the R² ranges from 0.33 to 0.85, and the path coefficients range from 0.57 to 0.92. Additionally, the PLS-SEM multigroup analysis shows significant statistical differences. Group 3 (low complexity and low uncertainty) is different from Group 1 (high complexity and high uncertainty) and Group 2 (high complexity and low uncertainty), with p values of 0.027 and 0.023, respectively. Therefore, these empirical findings contribute to the literature demonstrating that value creation processes impact the project value. In particular, these effects are moderated by the current level of project requirements uncertainty and complexity in different contexts.