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Prior research suggests that organizational alliances' contribution to innovation performance is conditional to absorptive capacity (AC). Instead of an antecedent of alliances, in this study, the authors conceptualize and evaluate AC as an outcome of alliance intensity.

The authors tested their theoretical framework using multivariate statistical analysis on data collected from a survey applied to dedicated biotechnology firms (DBFs) from three countries: Brazil, Portugal and Spain.

First, the results show that whereas the high alliance intensity effect is positive and stronger on RAC, it is negative and weaker on PAC. Second, the alliance intensity effect on RAC is strengthened when firms have alliances only in their home country and the top manager does not have both academic and managerial experiences.

The authors’ study suggests as implications for DBFs: (1) firms should form alliances to develop AC, (2) firms should consider alliances for improving AC when top managers' expertise is not diverse, and (3) firms should consider only alliances with national partners as a differential for AC development.

This research contributes to the literature of dynamic capabilities, AC, alliances and innovation management by providing empirical validation for key contingencies surrounding the benefits of alliances as an antecedent of AC.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

Education is undergoing digital transformation intensified by COVID-19. In this context, gamification is an attractive alternative based on the use of elements of the games with educational purposes. However, it keeps the educational content to be learned as a central element without neglecting the “fun,” which contributing to engaging students. Therefore, this study aims to analyze the factors that affect students' engagement in an undergraduate course of Business Administration with gamified activities in remote education.

The authors collected data through a survey available to students of the administration course at a private university in São Paulo (n = 671). This study used a quantitative approach, using SEM with PLS estimation and with the support of other analytical techniques.

The results support all the hypotheses formulated. Those with the associated construct “competition” obtained the most robust relationships, which denotes that competition is an essential element in gamification. Despite being supported by the results, “network exposure” influencing engagement is one point of attention to improving teaching strategies.

Graduate schools could implement this type of gamified activity, evaluating whether students enrolled in higher degrees would willingly engage in a learning activity considered “less serious.”

Higher education institutions can benefit from this study by understanding that gamification is presented as an active methodology that increases students' engagement in teaching.

This research addressed gaps in the factors that affect students' engagement with gamified activities, proposing an alternative theoretical model to those present in the literature.

This research aims to propose the development of a model that identifies, in essential services, the determining factors affecting the technological advances offered by different smart technologies in supermarket retail channels that influence citizens' quality of life, amidst the coronavirus disease 2019 (COVID-19) pandemic.

The data were collected using a cross-sectional questionnaire survey (n = 469). The authors applied the structural equation modeling (SEM) technique to test the hypotheses, along with the partial least squares (PLS) method for estimating latent variables and combining with the necessary condition analysis (NCA) method.

According to the results of the NCA method, the results were adequate, and more attention should be paid to the quality of life construct after finding the bottleneck point of 50%. In this sense, adaptive resilience was characterized as the main necessary predictor construct for quality of life. In addition, Generation Z and Millennials have the highest frequency of use in all smart technologies, with “assisted purchase” being the most widely used.

Finally, the effect of the pandemic changed the consumption routine with supermarkets, not being a mere option but a necessity in the context of a smart city.

As a result, the proposed model was consistent, showing that all direct and indirect SEM paths were validated, highlighting data security and privacy and resilience issues. In addition, the NCA method complemented the procedures performed in the SEM phase.

This paper aims to perform an empirical investigation about the constructs and indicators of the supply chain management practices framework.

The measuring framework proposed is based on a survey that was carried out on 107 Brazilian companies. Statistical techniques were employed to verify, validate, and test the reliability of the constructs and their indicators. To validate this framework principal component analysis and structural equation modeling techniques were used.

In general, previous studies suggest six constructs for measuring the supply chain management practices framework. However, in this study a framework was achieved with four constructs of supply chain management practices, namely, supply chain (SC) integration for production planning and control (PPC) support, information sharing about products and targeting strategies, strategic relationship with customer and supplier, and support customer order. This framework has adequate levels of validity and reliability.

The main limitation of this study was that only a small sample of companies in a single sector and country were surveyed, and therefore there needs to be further research considering the special conditions in other countries.

This study investigated statistically set indicators to discuss the topic “supply chain management practices”. The framework obtained has good quality of validity and reliability indicators. Thus, an alternative framework has been added to measure supply chain management practices, which is currently a popular topic in the supply chain mainstream literature. Both defined constructs and the validated indicators can be used in other studies on supply chain management.

The purpose of this paper is to investigate how company size and the type of production system affect the adoption of supply chain management (SCM) practices in companies in the electro‐electronics sector in Brazil.

An e‐mail survey of 107 companies associated with the Brazilian Electrical and Electronics Industry Association (ABINEE) was conducted. Statistical techniques were employed to verify the adoption of SCM practices according to the size of the company and its production system.

The major results indicate that the larger the size of the company, the higher the level of adoption of SCM practices, and that the choice of SCM practices depends upon the type of production system implemented.

The implications of this study are useful to top management leaders of small‐ and medium‐sized enterprises since the findings enable them to identify the most common practices adopted by either large‐, medium‐ or small‐sized companies in order to benchmark the level of adoption of SCM practices. Production managers can also benefit from this study by identifying the SCM practices that may support certain production systems.

The paper deals with the reality of companies in the electro‐electronics sector in Brazil, which is part of a global supply chain; therefore, the results obtained can be useful to foreign companies in this sector. This is the first known research that integrates such concepts in Brazil.