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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.

This study aims to investigate the effects of nomophobia in the organizational environment, and the authors developed a research model consisting of the construct's loneliness, depression and anxiety. The growing competitiveness of the market and the need of many companies regarding the availability of employees demand attention.

The authors surveyed 454 Brazilian respondents and used covariance-based structural equation modeling to analyze the survey results. The model’s hypotheses proved significant, confirming the relationships proposed by the theoretical model.

Loneliness and depression, rather than anxiety, explained the influence of nomophobia on individuals’ ability to communicate when inserted in the professional context. Individuals were most likely to have high nomophobia incorporate psychological traits that involve emotional instability, and could benefit from the connection between people in a social group.

This study confirms that nomophobia can be a situational phobia evoked by the unavailability of a smartphone or by the idea of not having it, not being able to use it or losing it, even within the business context.

The increase in loneliness and depression indicates a deficiency in the face of the smartphone’s benefits.

This paper provides contributions that seek to understand the effect of symptoms from smartphones in the workplace, also indicating that users may cause vulnerability. Companies can prevent vulnerability by creating policies prohibiting their use in the organization’s context and developing healthy habits that do not lead to addiction.

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.