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As the level of implementation of Industry 4.0 increases, misalignments between adopted technologies and organizational factors may result in benefits below expected. This paper aims to analyze how organizational factors can contribute to a higher level of adoption of Industry 4.0 technologies. The paper uses a sociotechnical perspective lens to achieve this aim.

Using a sample of 231 manufacturing companies in Denmark, a leading country in Industry 4.0 readiness, the paper analyzes through cluster analysis and logistic regression whether the development of four sociotechnical dimensions – that is, Social, Technical, Work Organization and Environmental factors – in these companies can benefit the achievement of higher levels of Industry 4.0 technology adoption.

The results show that companies focused on the development of sociotechnical aspects generally present higher Industry 4.0 adoption levels. However, some sociotechnical factors are less supportive than others.

Based on these results, practitioners can plan the adoption of advanced technologies, using a systemic organizational view. This study provides evidence on a growing field with few empirical studies available. The paper contributes by providing an analysis of a leading country in Industry 4.0 implementation, presenting a systemic view on technology adoption in the Industry 4.0 context.

This paper presents an exploratory investigation of myths on lean production (LP), by identifying, dispelling and assessing their pervasiveness.

A list of myths was proposed mostly based on seminal LP texts and our rich experience from researching, teaching and consulting in lean journeys. Complexity thinking was adopted as a lens for dispelling the myths, as it challenged generalizations implied in myths. An investigation of the pervasiveness of the myths was also conducted, based on a survey with 120 academics and practitioners.

Ten myths were identified and dispelled. Survey's results indicated that belief in lean myths was more common among less experienced practitioners (<10 years), while experience was not a relevant factor for academics.

The lean myths partly reflect the experience of the authors. Furthermore, a larger sample size is necessary for a full analysis of pervasiveness.

The lean myths might be underlying barriers to LP implementation (e.g. lack of knowledge of managers and workers), and they might be proactively accounted for in lean training and education programs.

This is the first work to explicitly frame a set of lean myths.

The purpose of this paper is to study the level of importance existing among the indicators that were previously defined for a Performance Measurement Systems (PMS) and are relative to franchises in Brazil, using the Analytic Hierarchy Process (AHP) methodology, together with a series of tests, which are responsible by verifying the degree of reliability, robustness and stability of the parameters used and the results obtained. As a result, the author suggests that the diagnosing of the five delimited indicators have different relevance assigned to them.

This paper reviews extant literatures in Franchise, PMS, Multiple Criteria Decision Making (MCDM), in specific the theory about AHP.

The authors found that it was possible justified, for both the relative and the evaluative method, that the I3 was the main point of the system and, as a consequence, be considered as priority when talking about sectorial development of franchises in Brazil. As for the other indicators, even being located in a level lower than I3, they must be taken into contemplation in these measurements, however, with a relatively inferior importance degree.

It was possible to better comprehend which economics and non-economic factors selected have a more predominance in the Brazilian franchise context, according to characteristics of the companies present.

The absence of scientific papers that describe the relevance level of the main factors that influence in the Brazilian franchise system.

This study aims to examine the collective impact of awareness and knowledge about fake news, attitudes toward news verification, perceived behavioral control, subjective norms, fear of missing out (FoMO) and sadism on social media users’ intention to verify news before sharing on social media.

The current study’s conceptual framework is developed by a comprehensive literature review on social networking and the theory of planned behavior. The data for samples were collected from 400 respondents in India to test the conceptual framework using the partial least square–structural equation modeling technique.

The results show that awareness and knowledge, perceived behavioral control, attitudes toward news verification and FoMO are significant predictors of intention to verify news before sharing.

The present study concludes implications for managers of social media companies and policy actors that want to take steps toward arresting the spread of fake news via social media.

Academic investigation on fake news sharing on social media has recently gained traction. The current work is unique because it uses the theory of planned behavior as a basis for predicting social media user’s intention to verify news before sharing on social media.