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Using an abductive perspective, this study aims to review the scientific literature about the governance and management of the digital supply chain (DSC) in the context of the business organizations, providing an overview of the state of the art of the research and outlining a future research agenda with a knowledge management (KM) focus.

After investigating the Scopus database, 54 articles were identified as relevant and then subjected to an initial discernment. After this assessment, 34 articles focusing on operations management were further analyzed through both a bibliometric analysis and a content analysis.

The DSC represents a research area of increasing attention, with relevant contributions to several aspects of the field, as well as about KM. At the same time, the results show that the scientific literature on DSC models, solutions and applications is fragmented. Although the analysis has found a heterogeneous literature, two main streams of research seem to emerge: KM in the business culture development about DSC and KM in the business technological evolution about DSC.

Although there exists growing interest in the scientific community, or perhaps because of this, area of research remains fragmented and under-theorized, thus requiring more systematic studies considering both economic and social aspects of the DSC. This study aims to provide innovative insights about this evolution, especially highlighting the two main contributions of KM in DSCs that have been revealed (business culture development and business technological evolution).

This paper aims to propose a simulation model integrated with an empirical regression analysis to provide a new mathematical formulation for automated storage and retrieval system (AS/RS) travel time estimation under class-based storage and different input/output (I/O) point vertical levels.

A simulation approach is adopted to compute the travel time under different warehouse scenarios. Simulation runs with several I/O point levels and multiple shape factor values.

The proposed model is extremely precise for both single command (SC) and dual command (DC) cycles and very well fitted for a reliable computation of travel times.

The proposed mathematical formulation for estimating the AS/RS travel time advances widely applied methodologies existing in literature. As well as, it provides a practical implication by supporting faster and more accurate travel time computations for both SC and DC cycles. However, the regression analysis is conducted based on simulated data and can be refined by numerical values coming from real warehouses.

This work provides a new simulation model and a refined mathematical equation to estimate AS/RS travel time.

There are several connections between education and disinformation, including the association between years of schooling and vulnerability to unfounded hypothesizing. The purpose of this paper is to inquire into a competing explanation: political leaders might be exploring powerful teaching and learning strategies to disseminate agendas based on baseless assumptions, exploiting human’s tendency to generate robust theories even with incomplete or incorrect information.

The authors analyzed ten videos published online by a highly partisan YouTube channel. The footage contained informal encounters between former Brazilian President Jair Bolsonaro and supporters in front of his official residence. The team sought to answer two research questions: Do Mr Bolsonaro’s discursive moves include activators that lead the audience to understand that they are theorizing and reaching conclusions “on their own?” Does Mr Bolsonaro’s audience follow those clues and mention politically motivated hoaxes and conspiracy theories in their comments? This paper draws on perspectives from the field of educational research to investigate the mechanisms used by the president to shape public opinion.

The authors found evidence of the employment of elements akin to classroom discourse in the dialogues led by Mr Bolsonaro. Specifically, different types of rhetorical questions are present to a substantial extent in the data subset analyzed for this paper.

This work offers an alternative perspective to analyzing disinformation. By drawing from established literature from education research, this paper departs from facile explanations that take for granted the lack of intelligence of the audience. Conversely, it argues that popular, if not powerful, teaching and learning strategies might play an undesired role by shaping individuals’ cognitive processes to create robust, internally consistent theories about the world using flawed assumptions and incorrect “building blocks.”