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The aim of this research is to enlighten the methodology model of Industrial Design Structure (IDeS) that integrates the internal and external customer feedback embodied both in methods of quality function deployment (QFD) and as basis of design for six sigma (DFSS) steps to systematically bring the information across the entire organization, saving overall product development time and resources.

The paper describes the state of the art enlightened to establish the disadvantages and challenges of other methods taken into consideration in the study like QFD and DFSS that, together with the need of companies to react fast to changes they need to straightforwardly implement product development information across all departments, leading to a mass customization infrastructure. Several application trials of this methodology have been cited.

The IDeS method has established to been able to integrate other well-known methodologies to gather technical specifications starting from voice of customers (VOCs) like QFD that served to canalize the generalist approach of define, measure, analyze, design and verify (DMADV) of DFSS in order to reach into a larger share of the organization and englobe by following the overall product design steps of an industrial project.

The research approach chosen for this document presents the concept of a methodology ought to operate most internal branches in a company driven by product design requirements and guidelines. Therefore, researchers are encouraged to develop further studies on the IDeS method are required in order to adapt this methodology to specific management tools that would help to ease information gathering for immediate analysis and modification.

The paper implicates that a need to interchange information systematically across all subdivisions in the organization, as brisk response to VOC reactions is needed to thrive in the market nowadays, leading to a fast product customization scene. However, the industry is heading into adopting an individual customer-centered product conceptualization ought to be driven by design as a key for individualizing an object. Afterward by taking this concept broadly and adopting it would lead to implement a company organization that would be directly affected by the customer's input.

The methodology described aims to enable organizations to portray fast and accurate product prototyping, by exploiting technologies from Industry 4.0.

This concept proposes a method to canalize the implementation of DFSS by using the DMADV approach, whilst assessing the challenges of adaptation and keeping up with cultural pace that impacts the behavior of buying and consumption and moreover implementing a seamless communication within all departments in the organization to share the development progress and change requests by using similar information technology tools. This would imply important savings in resources, whilst delivering quality products to the society.

The purpose of this study was to compare and analyze the job satisfaction, organizational commitment and turnover intention of professors, technical-administrative servants and outsourced workers of the Federal University of the State of Rio de Janeiro (UNIRIO).

The authors conducted analyses of variance, with the multiple comparisons made using Tukey’s post hoc tests, as well as regression analyses. The sample of 297 workers included 115 faculty members, 86 technical-administrative servants and 96 outsourced employees.

The results showed that the job satisfaction of outsourced workers was significantly higher than that of the public servants. On the other hand, professors presented the highest level of affective commitment, significantly higher than technical-administrative employees and outsourced workers. Turnover intention of outsourced workers was lower than that of technical-administrative employees, despite the stability of the latter group.

From a practical standpoint, the results may guide the development human resource management policies and practices aligned with the reality and the needs of public servants and outsourced employees, thus fostering their job satisfaction, commitment and retention.

This study is relevant given the increased use of outsourced labor in the public administration and the relative paucity of empirical studies with this group of workers, as evidenced by the review of the national literature. Moreover, as the theme of outsourcing is quite controversial, the authors hope this new evidence contributes to the debate.

In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance.

Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research.

The authors’ findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects.

With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.

It is widely accepted that coauthorship and collaboration promotes intellectual partnerships and improves the quality of publications. This paper examines the relationship between collaboration, productivity and publications in the field of family business.

The authors identify the most prolific authors, affiliations and countries and focus on the evolution of research in the field of family business. In doing so, the authors employ social network analysis to discover the structure of the networks and the ways in which authors, institutions and countries interact.

The empirical results show that collaboration is positively related to productivity, and there is significant evidence that the shaped networks exhibit small-world characteristics, a condition in which collaboration within authors becomes integrated in conjunction with time.

The findings highlight the mechanics of collaborative research production and can be useful to understand the importance of collaboration patterns to be followed in the field of family business.

The contributions are as follows: (a) application of social network analysis to model the coauthorship patterns among individuals, institutions and countries in family business; (b) distinguishing the most degree-central authors in the social network of collaborating academics; (c) investigation of the academic collaborations in family business that have the characteristics of a small-world social network and (d) suggesting a unique connection, through published keywords, between the research priorities of the most central or prolific authors with the research trends in the family business literature. The authors demonstrate that authors' collaboration becomes integrated in conjunction with time.

This study aims to offer a bibliometric analysis of the already substantial and growing literature on global virtual teams (GVTs).

Using a systematic literature review approach, it identifies all articles in the Web of Science from 1999 to 2021 that include the term GVTs (in the title, the abstract or keywords) and finds 175 articles. The VOSviewer software was applied to analyze the bibliometric data.

The analysis revealed three dialogizing research clusters in the GVTs literature: a pioneering management information systems and organizational cluster, a general management cluster and a growing international management and behavioural studies cluster. Furthermore, it highlights the most cited articles, authors, journals and nations, and the network of strong and weak links regarding co-authorships and co-citations. Additionally, this study shows a change in research patterns regarding topics, journals and disciplinary approaches from 1999 to 2021. Finally, the analysis illustrates the position and centrality in the network of the most relevant actors.

The findings can guide management practitioners, educators and researchers to the most meaningful clusters of publications on GVTs, and help navigate and make sense of the vast body of the available literature. The importance of GVTs has been growing in the past two decades, and Covid-19 has accelerated the trend.

This study provides an updated and comprehensive systematic literature review on GVTs. To the best of the authors’ knowledge, it is also the first systematic literature review and bibliometry on GVTs. It concludes by suggesting future research paths.

The purpose of this scientific work is to simulate the fatigue damage under random loading, taking into account the mean stress effect on fatigue lifetime and using the Rainflow counting technique to assess the fatigue damage by the Ansys software. The used material is aluminum alloy 6082-T6. A comparison with literature results has confirmed this investigation in this paper.

The study of fatigue under random loading is based on the same concepts as constant loading with the addition of damage summation. The proportion of damage caused by a stress cycle depends not only on the alternating stress but also on the mean stress.

Analysis of the fatigue damage shows that the number of relative damage due to each cycle.

This paper aims to simulate the fatigue damage under random loading for aluminum alloys.

The purpose of this scientific work is to simulate the fatigue damage under random loading taking into account the mean stress effect on fatigue lifetime and using the rainflow counting technique to assess the fatigue damage.

The study of fatigue under random loading is based on same concepts which as constant loading with addition of damage summation. The damage of materials due a stress cycle depends not only on the alternating stress but also on the mean stress.

The cycles counting simulation method allows quantifying the hysteresis loops, even if for small amplitude stresses.

The cycles are low or medium; the damage occurs most often, the higher values of alternating stresses cause the most failure of materials.

The purpose of this study was to investigate the relationship between consumers' perceived media characteristics, telepresence, attitudes and adoption intention towards augmented reality (AR)-based virtual fitting rooms (VFRs). Additionally, the mediating effect of telepresence was examined.

Data were collected from 352 university students and analysed using structural equation modelling.

Empirical results suggest significant positive influences of media characteristics, including perceived interactivity and augmentation, on telepresence, which, in turn, influenced attitudes and adoption intention towards AR-based VFRs. Also, telepresence mediated the relationship between media characteristics and consumers' attitudes.

Data for this study were collected based on the subjects' one-time experience with a particular AR-based VFR. Therefore, the generalisation of the findings may be limited.

An important implication is that the enhancement of rendering interactive and augmented features is crucial for adoption of AR-based VFRs considering the key role of interactivity and augmentation in inducing telepresence, attitudes and adoption intention.

The paper empirically tested the importance of unique media characteristics, telepresence and attitudes in consumers' adoption of AR-based VFRs through the lens of the theory of interactive media effects.

Studies investigating the association between dietary inflammatory index (DII) and body mass index (BMI) have led to inconsistent findings. Therefore, to decisively conclude, this paper aims to clarify the relationship between DII and obesity by performing meta-analysis.

PubMed, Scopus and Google Scholar were searched up to July 2017 using key words selected from Medical Subject Headings and other related keywords to identify all relevant articles. In total, 22 articles were entered into the meta-analysis; 22 studies compared the mean of BMI among subjects with highest versus the lowest DII and 4 studies had data on the hazard risk (HR) or odds ratio (OR) for obesity.

A meta-analysis on included studies indicated a significant association on either mean differences (MD) in BMI (MD = 0.811; 95 per cent CI: 0.365-1.256; p: 0.0001) or obesity OR (OR: 1.310; 95 per cent CI: 1.144-1.500; p = 0.000) by comparing the highest and lowest DII categories. Between-study heterogeneity was high (Cochrane Q test, p < 0.001, I² = 98.1 per cent, df = 21, τ² = 0.9273), and only dietary assessment methods could explain the source of heterogeneity in which 24-h dietary recalls were homogeny (I² = 8.4 per cent, df = 2, p = 0.335).

The results of the present meta-analysis suggest that adherence to high DII score increased BMI and obesity. More prospective studies in different populations are needed to better clarify this relation.