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“Genderwashing is an organizational tool that presents the myth of gender equality in organizations through discourse and text” (Fox-Kirk et al., 2020, p. 586). Existing literature focuses upon business and economy, e.g., considering how representations of equality are used to enhance profit. The contribution of this chapter is to show how two processes – gender washing and militarization – might function in support of each other. To do this, I firstly argue that the concept of genderwashing should be broadened to consider spaces outside of business and economy. I show how sex, gender and feminism are employed in ways that position martial organizations (such as militaries and arms manufacturers) as socially progressive, “washing” their reputation for militarized violence. Secondly, analyses must consider how the impact of genderwashing goes beyond individual organizations. Martial organizations marginalize their female staff, but I argue that we must look further: in a context in which people can be killed, we must consider what broader harms genderwashing visits upon civilian populations also.

This paper aims to explore three operations and supply chain management (OSCM) approaches for meeting the 2 °C targets to counteract climate change: adaptation (adjusting to climatic impacts); mitigation (innovating towards low-carbon practices); and carbon-removing negative emissions technologies (NETs). We suggest that adaptation nor mitigation may be enough to meet the current climate targets, thus calling for NETs, resulting in the following question: How can operations and supply chains be reconceptualized for NETs?

We draw on the sustainable supply chain and transitions discourses along with interview data involving 125 experts gathered from a broad research project focused on geoengineering and NETs. We analyze three case studies of emerging NETs (biochar, direct air carbon capture and storage and ocean alkalinity enhancement), leading to propositions on the link between OSCM and NETs.

Although some NETs are promising, there remains considerable variance and uncertainty over supply chain configurations, efficacy, social acceptability and potential risks of unintended detrimental consequences. We introduce the concept of transformative OSCM, which encompasses policy interventions to foster the emergence of new technologies in industry sectors driven by social mandates but lack clear commercial incentives.

To the best of the authors’ knowledge, this paper is among the first that studies NETs from an OSCM perspective. It suggests a pathway toward new industry structures and policy support to effectively tackle climate change through carbon removal.

The null-space projection method is commonly adopted for controlling redundant robots, which undoubtedly requires the robot Jacobian matrix inverse. This paper aims to provide a novel control scheme, which enables null-space control of redundant robots without conflict with the main task space.

In this paper, an impedance-based null-space control approach for redundant robots is proposed. The null-space degrees of freedom are separated from the primary task space by using the eigenvalue decomposition. Then, a joint impedance controller spans the null space and is reflected into the joint space to manage the redundancy. Finally, several experiments have been conducted to evaluate and validate the performance of the proposed approach in comparison with the null-space projection method under various situations.

Experiment results show that no significant differences were observed between the different filling eigenvalues in the proposed approach under different null-space dimensions and motion velocity. Besides, comparative experiment results demonstrate that the proposed method can achieve comparable results to the null-space projection method. Nevertheless, the suggested approach has benefits regarding the quantity of control parameters in addition to not requiring a Jacobian inverse. Notably, the performance of the proposed method will improve as the null-space dimension increases.

This study presents a new control method for redundant robots, which has advantages for dealing with the problems of controlling redundant robots compared to the existing methods.

This study aims to empirically connect green logistics performance, renewable energy, non-renewable energy, CO₂ emissions and gross domestic product in Vietnam from 2000 to 2022.

Within this study, the author uses innovative tools, specifically a R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy.

The results highlight the two-way relationship between green logistics and energy security in Vietnam. Green logistics plays various roles in diverse periods, from a net shock transmitter to a net shock receiver in the designed system. Using a dynamic and contemporaneous dynamic linkage method, this study emphasizes the change in the role and the dominance of green logistics and renewable energy consumption. Notably, the unexpected shocks also lead to changes in these variables’ roles.

This paper presents two significant contributions to the existing body of literature. Firstly, as previously emphasized, this research marks a pioneering effort to examine the connection between green logistics, environmental issues and the use of green and dirty energy when it comes to developing nations such as Vietnam. Secondly, this research introduces a novel approach to investigating the interconnectedness of volatility across diverse markets, offering a more suitable method for such analyses. Within this study, the author uses innovative tools, specifically an R2 decomposed linkage method, to scrutinize the connections between green logistics, environmental issues and the use of green and dirty energy. In this analysis, the author examined data from 2000 through 2022. A thorough analysis is presented using the data, exploring the connections between the volatilities resulting from various problems in Vietnam.

This study aims to investigate the scientific impact of additive manufacturing in recent years, considering its evolution as an Industry 4.0 technology and also in the current context of Industry 5.0. For this aim, advanced statistics and scientometric tools have been used.

This study aims to explore the trends and impacts of additive manufacturing, focusing on its evolution and its relationship with Industry 4.0 and 5.0. For this purpose, a scientometric study and a meta-analysis of data extracted from the scientific Scopus database have been carried out. R programming and specific bibliometric software have been used to conduct the research. Initially, the data were evaluated from various perspectives, including sources, topics and impact indexes, to assess trends derived from the volume of publications, the impact of sources and affiliations, as well as the production segmented by country and the relationships between authors from different countries. Subsequently, a meta-analysis on keywords has been carried out using two distinct clustering methodologies: link strength and fractionalization. The results obtained were compared to establish a specific taxonomy of the AM subtopics, considering AM as a single body of knowledge related to Industries 4.0 and 5.0 paradigms. The analyses carried out have shown the impact and strong evolution of additive manufacturing as a field of knowledge at the world level, both from the point of view of manufacturing processes and from the point of view of materials science. In addition, some differences have been detected depending on the country. As a result of the meta-analysis, four different subtopics have been detected, some of which are highly related to other technologies and approaches in Industries 4.0 and 5.0 paradigms. Additionally, it establishes a comprehensive taxonomy for AM research, serving as a foundational reference for future studies aimed at exploring the evolution and transformative impact of this technology.

The analyses carried out have shown the impact and strong evolution of additive manufacturing as a field of knowledge at the world level, both from the point of view of manufacturing processes and from the point of view of materials science. In addition, some differences have been detected depending on the country. As a result of the meta-analysis, four different subtopics have been detected: one of them directly related to the use of recently developed Industry 4.0 technologies in additive manufacturing. The results provide a starting point for prospective studies to understand the evolution and disruption of this technology.

The paper is original and is based on data systematically extracted from scientific databases. Then, a specific methodology based on different advanced tools was applied for scientometric evaluation and meta-analysis.

This study aims to investigate the relationships between managers’ cognitive styles, dynamic managerial capabilities and firms’ perceived international performance. The study is based on cognitive-experiential self-theory, dynamic managerial capabilities and international entrepreneurship.

Data were collected from 283 managers of small medium enterprises (SMEs) in Türkiye, an emerging economy. The research was conducted using quantitative methods, and Smart partial least squares (PLS) 4 software was used for data analysis. The data were examined through structural equation modelling and mediation analyses.

Findings indicate that rational cognitive styles positively influence managerial human capital, managerial social capital, managerial cognition and perceived international performance. However, the effect of intuitive cognitive styles was confirmed only on managerial cognition. Additionally, it was found that managerial cognition positively affects perceived international performance, whereas managerial social capital has a negative impact. However, the effects of managerial human capital could not be confirmed. Moreover, a full mediation relationship of managerial cognition between intuitive cognitive styles and perceived international performance was identified.

This research carves out a unique niche by synergizing cognitive-experiential self-theory with dynamic managerial capabilities to investigate their conjoined effect on firms’ international performance, an area previously underexplored. Unveiling insights from burgeoning economies like Türkiye enriches the existing body of knowledge, offering substantial contributions to the field of international business.

COVID entered the world in 2019 as a pandemic and the intensity of this health crisis is only increasing in several regions. Therefore, it is critical to study and detect the public's frame of mind, government and economists' perception regarding the COVID crisis, as well as the primary worries that the public has expressed, and how this evolves over time. Responsive measures towards COVID-19 from the Indian economy have been explored as a key objective. Moreover, efforts have been made to explore recovery in India through economists and policymakers. Data have been explored through online interviews of key economists which were published in leading newspapers and covered through media channels such as NDTV, CNBC, etc. Moreover, various newspapers and reports were explored to understand government initiatives to address COVID-19 in India. The study's findings show how essential economic recovery from the second wave is in India, and how it may be achieved by strong fiscal and monetary policies, as well as specific attention to impoverished households, small and micro-businesses and increased employment. The short-term focus of the developing economic strategy must be on giving crisis relief to the most unprotected segments of society since long-term system stimulation is impossible.

The purpose of this research is to establish a robust numerical framework for the calibration of macroscopic constitutive parameters, based on the analysis of polycrystalline RVEs with computational homogenisation.

This framework is composed of four building-blocks: (1) the multi-scale model, consisting of polycrystalline RVEs, where the grains are modelled with anisotropic crystal plasticity, and computational homogenisation to link the scales, (2) a set of loading cases to generate the reference responses, (3) the von Mises elasto-plastic model to be calibrated, and (4) the optimisation algorithms to solve the inverse identification problem. Several optimisation algorithms are assessed through a reference identification problem. Thereafter, different calibration strategies are tested. The accuracy of the calibrated models is evaluated by comparing their results against an FE2 model and experimental data.

In the initial tests, the LIPO optimiser performs the best. Good results accuracy is obtained with the calibrated constitutive models. The computing time needed by the FE2 simulations is 5 orders of magnitude larger, compared to the standard macroscopic simulations, demonstrating how this framework is suitable to obtain efficient micro-mechanics-informed constitutive models.

This contribution proposes a numerical framework, based on FE2 and macro-scale single element simulations, where the calibration of constitutive laws is informed by multi-scale analysis. The most efficient combination of optimisation algorithm and definition of the objective function is studied, and the robustness of the proposed approach is demonstrated by validation with both numerical and experimental data.

This research aims to identify whether leaders' affective organizational commitment influences employees' affective commitment to both the leader and the organization. Additionally, the study explores the role of employees' emotional awareness in shaping these relationships.

Examining a sample of 154 leaders and 249 employees in multinational companies, this study adopts a multilevel approach.

The results reveal a positive influence between the two foci of commitment (leaders and organization) at both the leader and employee levels. Furthermore, it confirms that employees' emotional awareness plays a positive role in the commitment process.

This research highlights the significance of implementing internal policies and measures that consider the various foci of commitment. To foster employees' commitment, it is crucial to establish a robust alignment between human resources management and leaders.

This study delves into the exploration of two commitment foci to deepen our comprehension of the directional relationship between them in the workplace. More specifically, our research scrutinizes the impact of leaders' affective organizational commitment on employees' affective commitment to the organization, while also analyzing its reciprocal influence on employees' affective commitment toward their leaders.