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This study investigates organizational climate under the thriving at work perspective using a network approach. The authors demonstrate how organizational climate functions as a complex system and what relationships between variables from different dimensions are the most important to characterize the construct.

By surveying 119,266 workers from 284 companies based in Brazil, the authors estimated a Gaussian graphical model with LASSO regularization for the complete dataset and for two subsets of cases randomly drawn from the whole dataset. The walktrap algorithm was applied for community detection, and a strong model for measurement invariance was fit to test whether the organizational climate is perceived similarly across groups.

Results show that the networks estimated for both groups are quite consistent, with similar number of communities and items detected. The same pattern was found for the expected influence of each item. Measurement invariance was confirmed, showing that organizational climate is perceived similarly in both groups. The most important community detected and whose items have higher levels of centrality was organizational commitment, followed by a community centered around macro-organizational aspects covering cultural integrity, organizational agility and responsible leadership.

Studies in the field have attested to the possibility of investigating the phenomenon from four (Campbell et al., 1970) to over 80 dimensions (Koys and DeCottis, 1991). As a result, since several dimensions have been produced to investigate organizational climate, there is no consensus on the quality and number of dimensions that should be considered to measure such a vast and multifaceted construct. Built on thriving at work perspective, eight dimensions were devised to cover a wide range of characteristics that distinguish organizational climate, including those related to Industry 4.0 (Coetzee, 2019). However, one may argue that a few dimensions, namely social responsibility, diversity and inclusion, or even more items describing work-life balance could expand the depth and breadth of the instrument and potentially trigger new associations that might eventually impose a new logic to the comprehension of climate as a system. Future studies combining the dimensions investigated in this study with other dimensions are therefore highly recommended for an even more comprehensive investigation.

The results of this investigation show how to apply psychological networks to gain insights into different variables and dimensions of organizational climate. These findings can be used for the development of organizational policies focused on the most relevant aspects of organizational climate. This information would allow organizations to go beyond simply describing the individual frequencies for each item and could even be used to create a weighted scoring model that could prioritize variables with higher levels of centrality.

To the authors’ knowledge, this is the first study that investigates organizational climate using psychological networks; it provides a better understanding of the relationships established between items from different dimensions as opposed to the common cause framework whose focus is on the investigation of dimensions separately.

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.

Dimensions of organizational climate vary in their influence of how workers perceive the firm. Adopting an approach which combines psychological networks analysis and Thriving at Work constructs can help practitioners ascertain which dimensions have greatest scope to increase the level of organizational commitment among employees.

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.

The purpose of this paper is to explore differences between non-family employees of family and non-family firms regarding the perceptions of organizational justice and levels of organizational commitment. Moreover, focusing on non-family employees of family firms, the study assesses the relation between the perceptions of organizational justice and levels of organizational commitment. Finally, the study seeks to understand which dimension of organizational commitment (i.e. affective, continuance, or normative) is more associated with the perceptions of organizational justice of non-family employees working in family firms.

The empirical evidence is provided by a sample of 205 Portuguese employees, 98 non-family employees of family firms, and 107 non-family firms' employees, who responded to a questionnaire that included organizational justice and commitment measures. All firms included in the sample are small-sized privately owned companies.

Results show that there are no differences between non-family employees of family and non-family firms regarding the perceptions of organizational justice. However, results reveal that there are significant differences regarding the levels of organizational commitment. Furthermore, it was found that, in family firms, non-family employees' perceptions of organizational justice are positively related to the levels of commitment, especially regarding the affective dimension.

This paper aims to contribute to the literature by addressing two classical organizational aspects, which are yet under-researched in the comparison between family and non-family firms, while pursuing to shed some light on the relationship between the perceptions of organizational justice and levels of organizational commitment of non-family employees working in family firms.

The design of retail backroom storage areas has great impact on in-store operations, customer service level and on store life-cycle costs. Moreover, backroom storage in modern retail grocery stores is critical to several functions, such as acting as a buffer against strong demand lifts yielded by an ever-increasing promotional activity, stocking seasonal peak demand and accommodating e-commerce activities. The purpose of this paper is to propose a framework to design retail backroom storage area. Furthermore, the authors aim to draw attention to the lack of literature on this topic, while clarifying the relationship between this promising research stream and the considerable body of research regarding the design and operations of conventional warehouses, as well as retail in-store operations.

The key literature on backrooms, grocery retail, in-store operations, warehouse design and operations was reviewed. This allowed an understanding of the gap in the literature regarding the design of backrooms. Moreover, a case study methodological approach was conducted in a Portuguese retailer to extend the literature review.

Despite having functions similar to conventional warehouses, backroom storage facilities have particularities that deserve a distinct analysis. Thus, the authors stress these differences and demonstrate how they influence the development of a novel backroom design framework.

This paper fills a gap by proposing a framework to design backroom areas. Furthermore, this research may help practitioners to better design backroom areas, since this process currently lacks a formal and standardized procedure.

Most industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. This is a tedious and time‐consuming task that requires some technical expertise, and hence new approaches to robot programming are required. The purpose of this paper is to present a robotic system that allows users to instruct and program a robot with a high‐level of abstraction from the robot language.

The paper presents in detail a robotic system that allows users, especially non‐expert programmers, to instruct and program a robot just showing it what it should do, in an intuitive way. This is done using the two most natural human interfaces (gestures and speech), a force control system and several code generation techniques. Special attention will be given to the recognition of gestures, where the data extracted from a motion sensor (three‐axis accelerometer) embedded in the Wii remote controller was used to capture human hand behaviours. Gestures (dynamic hand positions) as well as manual postures (static hand positions) are recognized using a statistical approach and artificial neural networks.

It is shown that the robotic system presented is suitable to enable users without programming expertise to rapidly create robot programs. The experimental tests showed that the developed system can be customized for different users and robotic platforms.

The proposed system is tested on two different robotic platforms. Since the options adopted are mainly based on standards, it can be implemented with other robot controllers without significant changes. Future work will focus on improving the recognition rate of gestures and continuous gesture recognition.

The key contribution of this paper is that it offers a practical method to program robots by means of gestures and speech, improving work efficiency and saving time.

This paper presents an alternative to the typical robot teaching process, extending the concept of human‐robot interaction and co‐worker scenario. Since most companies do not have engineering resources to make changes or add new functionalities to their robotic manufacturing systems, this system constitutes a major advantage for small‐ to medium‐sized enterprises.

This study investigates the process of praxeological transformation developed in an early childhood institution using context-based staff educational practices as strategy to support the professional development of educators. It aims at developing a pedagogy that recognises and legitimises children as full-right citizens, thus valuing their competences to participate.

The context-based staff educational practices were taken in an ecological perspective thus recognising an interconnection between professional development, curriculum and organisational development. This is a longitudinal case study (four years) framed in a qualitative constructivist approach, using action research, context-based staff development and participatory childhood pedagogy as means to change educational practices. It is founded in the principles of the Childhood Association's pedagogical approach for children learning and teachers' development, as well as on the Effective Early Learning Project as a reference for monitoring and evaluating quality co-construction. The main objectives of the study were defined around the reconstruction of children and educators' images, to create democratic participatory understandings of central actors that will develop a situated pedagogy of respect and learning. The reconceptualisation of the image of the child, based on the listening of his/her voices, has been key for their right to participate and a professional motivation for kindergarten teachers to change their daily professional practices. The data gathered reveal the understanding of children as competent persons and active learners who construct complex forms of thought and action. This long process of learning led the participants to realise the importance of participatory childhood pedagogies.

The purpose of this paper is to present a CAD‐based human‐robot interface that allows non‐expert users to teach a robot in a manner similar to that used by human beings to teach each other.

Intuitive robot programming is achieved by using CAD drawings to generate robot programs off‐line. Sensory feedback allows minimization of the effects of uncertainty, providing information to adjust the robot paths during robot operation.

It was found that it is possible to generate a robot program from a common CAD drawing and run it without any major concerns about calibration or CAD model accuracy.

A limitation of the proposed system has to do with the fact that it was designed to be used for particular technological applications.

Since most manufacturing companies have CAD packages in their facilities today, CAD‐based robot programming may be a good option to program robots without the need for skilled robot programmers.

The paper proposes a new CAD‐based robot programming system. Robot programs are directly generated from a CAD drawing “running” on a commonly available 3D CAD package (Autodesk Inventor) and not from a commercial, computer aided robotics (CAR) software, making it a simple CAD integrated solution. This is a low‐cost and low‐setup time system where no advanced robot programming skills are required to operate it. In summary, robot programs are generated with a high‐level of abstraction from the robot language.

The objective of this chapter is to describe and analyze Brazil's main steps in its long and incomplete process of organizing a professional and responsive public service. During the twentieth century, Brazil had two authoritarian regimes and organized a state-oriented process of industrialization. After 1988, democracy has changed how public administration should be constituted, imposing demands for universal recruitment and accountability. The level of professionalization of the federal public service was improved, with a higher level of education, better wages and the recruitment of public servants to management positions. The challenges ahead are improving governance and executive coordination and raising the responsiveness and quality of public management (such as human resources, planning, budgeting, procurement, information and communication technologies, and organizational modeling) in a context of political instability, slow economic recovery, and substantial public debts at the federal government.

The growing complexity of industrial robot work‐cells calls for the use of advanced orchestration techniques to promote flexibility and reusability. This paper aims to present a solution based on service‐oriented platforms that endorses the separation of concerns, coordination and execution.

This paper starts with the evaluation of available tools for the orchestration and service generation. Endorsing the missing features depicted in that evaluation, the paper describes developments of concepts and software and the evaluation made.

From the early evaluations made in this paper, the SCXML‐based purposed language is more adapted to the industrial robotic cell scenario than existing alternatives. The generation of services allow the integration without knowledge from any programming language.

This approach's main drawback, as described by some users, was the lack of some programming features: simple math operations and conditional statements.

This paper fulfils two partially unsolved problems: adequate languages for orchestration of service oriented on the device level and purposes techniques for the specification of services using robot programming languages.

Hybrid methods, wherefore numerical and experimental data are used to calculate a critical parameter, have been used for several years with great success in Experimental Mechanics and, in particular, in fracture mechanics. The purpose of this paper is to report on the comparison of the strain field from numerical modelling forecasts against the experimental data obtained with the digital image correlation method under Mode II loading in fatigue testing. The numerical dual boundary element method has been established in the past as a very reliable method near singular regions where stresses tend to grow abruptly. The results obtained from the strain data near the crack tip were used in Williams expansion and agree fairly well with both the numerical results and the analytical solution proposed for pure Mode II testing.

The work presented in this note is experimental. The proposed methodology is of an hybrid experimental/numerical nature in that a numerical stress intensity factor calculation hinges upon a stress field obtained with an image method.

The obtained results are an important step towards the development of a practical tool for crack behaviour prediction in fatigue dominated events.

The results also stress the necessity of improving the experimental techniques to a point where the methods can be applied in real-life solicitations outside of laboratory premises.

Although several research teams around the globe are presently working in this field, the present research topic is original and the proposed methodology has been presented initially by the research team years ago.