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This article introduces a model of knowledge creation in consciousness, the creation of explicit knowledge in six forms and its register and organisation in documents.

Assuming the premise of three realms of reference to knowledge and two forms of reference to entities, this article, through a phenomenological perspective, deduces a model of the creation of knowledge in consciousness and the creation of explicit knowledge in six forms and its register in documents.

Two basic types of knowledge are introduced: situated knowledge and theoretical/normative knowledge. Considering three realms of reference of knowledge – the space–time realm, subjectivity realm and linguistic realm – six general types of knowledge are deduced. Finally, three layers of knowledge organisation are presented: classification and mapping documents, theoretical/normative documents and documents of situations.

This article can contribute to the development of more efficient forms of creation of explicit knowledge, its register in documents and the development of more efficient knowledge organisation and management systems.

Relying on established perspectives of the realms where subjectivity is immersed, this article discusses how knowledge is created in consciousness and registered in documents. It also presents a novel perspective of types of knowledge through the combination of dimensions, realms of reference and forms of reference to entities.

Effective cognitive functioning elucidates the orchestrated interplay of diverse mental faculties in addressing daily tasks, potentially indicative of an improved state of an individual’s health. Linked to this is the potential role of life satisfaction, which may aid individuals in better managing their health-related challenges. The purpose this study is to examine whether the cognitive functioning and life satisfaction levels of elderly individuals serve as predictors of their subjective health complaints.

The research involved a cohort of 126 elderly community residents. The assessment tools used encompassed a socio-demographic questionnaire, the mini-mental state examination (MMSE), the scale of subjective health complaints and a life satisfaction scale.

The findings reveal that both cognitive functioning and life satisfaction are predictive variables for subjective health complaints, validated in both the original sample and simulated samples.

This study’s innovation lies in highlighting the importance of cognitive functioning and life satisfaction among the elderly population as explanatory factors for subjective health complaints. Consequently, these dimensions warrant consideration in specialized intervention programs aimed at promoting the health and quality of life among the elderly.

This study aims to examine the price and income elasticities of short- and long-run industrial electricity demand in Brazil between 2003 and 2020. The research also examines the impacts of COVID-19 in Brazil’s industrial electricity sector, including an analysis in states more and less industrialized.

Dynamic adjustments models in panel data are used to present robust estimates and analyze the impact of different methodologies on reported elasticities.

The short-run price elasticity is estimated at −0.448, while the long-run values are around −1.60. Regarding income elasticity, the value is 0.069 in the short-run and is concentrated in 0.25 in the long-run. The inelastic results of income show that the industrial demand for electric energy follows the trend of loss of competitiveness of the Brazilian industry in the past years. In addition, the price of natural gas, the level of employment, and, in specific cases, the level of imports also influence industrial electricity demand.

The research is a pioneer in the investigation of the industrial behavior of electricity of the Brazilian industrial branch, using as control variables, the average temperature, and the level of rainfall, this one, so important for a country whose main source is hydroelectric. In addition, to the best of the authors’ knowledge, it is the first study, which is prepared to analyze the effects of COVID-19 on electric consumption in the industrial sector, investigating these impacts, including in the states considered more and less industrialized. The estimates generated may help in the design of the Brazilian energy policy.

In the last few years, environmental issues have become a matter of survival. In this sense, e-waste management is among the major problems since it may be a way of mitigating mineral depletion. In this context, the literature lacks e-waste supply chain studies that systematically map supply chain challenges and risks concerning material recovery.

Given this context, the authors' paper conducted a systematic literature review (SLR) to build a framework to identify the constructs of e-waste supply chain risk management.

The paper revealed the theoretical relationship between important variables to achieve e-waste supply chain risk management via a circular economy (CE) framework. These variables include reverse logistics (RL), closed-loop supply chains (CLSC), supply chain risk management, supply chain resilience and smart cities.

The literature contributions of this paper are as follows: (1) a complete list of the risks of the e-waste supply chains, (2) the techniques being used to identify, assess and mitigate e-waste supply chain risks and (3) the constructs that form the theoretical framework of e-waste supply chain risk management. In addition, the authors' results address important literature gaps identified by researchers and serve as a guide to implementation.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Institutions become better equipped to face the array of challenges in today’s unpredictable world when they focus on building and strengthening macro-competencies. Development of capabilities within each of these five key areas will serve to make the organization more resilient overall.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

This study examines the relationship between the innovation ecosystem and performance measurement models. Although the innovation ecosystem and measurement models are widely recognized, the existing literature lacks a comprehensive understanding of the relationship between the proposed themes. Furthermore, it does not reveal how studies can be grouped to propose a thematic typology of the relationship.

The authors present a systematic literature review conducted in the Web of Science and Scopus databases, from a textual corpus that aided the proposition of the typology that aims to provide answers regarding the addressed themes.

The results of this review are based on a total of sixty peer-reviewed articles from the innovation ecosystem literature and performance measurement models between 1995 and 2020. The results make several contributions to the literature. First, by integrating evidence from empirical studies, the authors identified a typology formed by three classes: (1) ecosystem agents (2) analytical focus and (3) structured measurement tools. Second, the authors verified the relationship between the themes and discovered the existence of gaps to be filled, with the proposition of three drivers. Third, the authors presented a comprehensive mapping of field studies with a descriptive analysis of the textual corpus.

The results of the research provide important implications for researchers, managers and policy makers. Furthermore, the authors suggest directions for future research, including the need to examine the performance of the entire innovation ecosystem, integrating the different agents that exist for performance measurement.

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 article unveils first the lead–lag structure between the confirmed cases of COVID-19 and financial markets, including the stock (DJI), cryptocurrency (Bitcoin) and commodities (crude oil, gold, copper and brent oil) compared to the financial stress index. Second, this paper assesses the role of Bitcoin as a hedge or diversifier by determining the efficient frontier with and without including Bitcoin before and during the COVID-19 pandemic.

The authors examine the lead–lag relationship between COVID-19 and financial market returns compared to the financial stress index and between all markets returns using the thermal optimal path model. Moreover, the authors estimate the efficient frontier of the portfolio with and without Bitcoin using the Bayesian approach.

Employing thermal optimal path model, the authors find that COVID-19 confirmed cases are leading returns prices of DJI, Bitcoin and crude oil, gold, copper and brent oil. Moreover, the authors find a strong lead–lag relationship between all financial market returns. By relying on the Bayesian approach, findings show when Bitcoin was included in the portfolio optimization before or during COVID-19 period; the Bayesian efficient frontier shifts to the left giving the investor a better risk return trade-off. Consequently, Bitcoin serves as a safe haven asset for the two sub-periods: pre-COVID-19 period and COVID-19 period.

Based on the above research conclusions, investors can use the number of COVID-19 confirmed cases to predict financial market dynamics. Similarly, the work is helpful for decision-makers who search for portfolio diversification opportunities, especially during health crisis. In addition, the results support the fact that Bitcoin is a safe haven asset that should be combined with commodities and stocks for better performance in portfolio optimization and hedging before and during COVID-19 periods.

This research thus adds value to the existing literature along four directions. First, the novelty of this study lies in the analysis of several financial markets (stock, cryptocurrencies and commodities)’ response to different pandemics and epidemics events, financial crises and natural disasters (Correia et al., 2020; Ma et al., 2020). Second, to the best of the authors' knowledge, this is the first study that examine the lead–lag relationship between COVID-19 and financial markets compared to financial stress index by employing the Thermal Optimal Path method. Third, it is a first endeavor to analyze the lead–lag interplay between the financial markets within a thermal optimal path method that can provide useful insights for the spillover effect studies in all countries and regions around the world. To check the robustness of our findings, the authors have employed financial stress index compared to COVID-19 confirmed cases. Fourth, this study tests whether Bitcoin is a hedge or diversifier given this current pandemic situation using the Bayesian approach.

This paper aims to explore the impact of the origin of hops on the sensory and hedonic evaluation of highly involved craft beer consumers.

Data was collected through a between-subject tasting experiment, where the origin of hop was manipulated (imported vs locally grown). The craft beer samples used in the experiment were produced using hops of similar age but grown in two distinct places: USA (imported hop) and in the city of Ribeirão Preto, Brazil, where the experiment was conducted (locally grown hop). The sensory and hedonic evaluations of highly involved craft beer consumers (n = 100) were collected after tasting the samples.

The origin of hop proved to be significant in affecting participants’ sensory and hedonic evaluations. It was observed that women were more sensitive than men to the origin information: when information was given, differences were found only on men’s scores of dryness/astringency; while in women, significant differences were found not only in dryness/astringency, but also in bitterness and refreshing, which are important attributes in the sensory profile of craft beer. It was also confirmed the effect of localness in hop cultivation, once men’ and women’s scores on liking were higher for the sample brewed with locally grown hop.

To the best of the authors’ knowledge, this is the first work using craft beer brewed with hops cultivated in Brazil and a sample of Brazilian craft beer consumers, therefore, providing a significant contribution to the field of consumer behavior. Furthermore, it adds to the discussion on sex-/gender-related differences regarding sensory expectation and perception of foods.