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Although music can be used in social studies classrooms to give students a picture of society from different time periods, modern music of all genres can help students understand more recent historical events. This practitioner paper seeks to assist and encourage teachers to utilize modern music for present-day analysis of society. We will address the current events of the Iraq and Afghanistan Wars and help teacher’s stimulate critical responses in students by using a variety of musical genres to analyze multiple perspectives of the wars. Teaching strategies and assessing students through authentic engagement with content and artists are discussed and we conclude by offering a sample lesson plan using a model of analysis.

This study aims to analyze the relationship between users’ perceived barriers to using virtual and augmented reality technology from stakeholders, identifying perspectives and gaps regarding technology acceptance.

The Decision-Making Trial and Evaluation Laboratory method is useful for quantitatively evaluating the causal relationship between factors. Combining this method with the grey approach ensures greater accuracy even with limited information. A Scoping Review was conducted to identify the barriers, and data were extracted from a questionnaire administered to experts in the field.

Seven diverse barriers were identified by users, and cause-and-effect relationships were estimated. The results indicate three primary causal barriers and three highly dependent barriers. One of the identified barriers is not relevant in this model.

Virtual and augmented reality technologies have been gaining popularity since 2018, allowing users to interact with a virtual environment. These technologies are primarily used in training and education areas. However, due to the innovative nature of the topic, there are a small number of studies on technology acceptance, especially in the Brazilian context. Therefore, this paper contributes to the literature and assists in applying technologies in industries.

The purpose of this paper is to present a programming by demonstration (PbD) system based on 3D stereoscopic vision and inertial sensing that provides a cost-effective pose tracking system, even during error-prone situations, such as camera occlusions.

The proposed PbD system is based on the 6D Mimic innovative solution, whose six degrees of freedom marker hardware had to be revised and restructured to accommodate an IMU sensor. Additionally, a new software pipeline was designed to include this new sensing device, seeking the improvement of the overall system’s robustness in stereoscopic vision occlusion situations.

The IMU component and the new software pipeline allow the 6D Mimic system to successfully maintain the pose tracking when the main tracking tool, i.e. the stereoscopic vision, fails. Therefore, the system improves in terms of reliability, robustness, and accuracy which were verified by real experiments.

Based on this proposal, the 6D Mimic system reaches a reliable and low-cost PbD methodology. Therefore, the robot can accurately replicate, on an industrial scale, the artisan level performance of highly skilled shop-floor operators.

To the best of the authors’ knowledge, the sensor fusion between stereoscopic images and IMU applied to robot PbD is a novel approach. The system is entirely designed aiming to reduce costs and taking advantage of an offline processing step for data analysis, filtering and fusion, enhancing the reliability of the PbD system.

The study aims to estimate wage models controlled for sample selection bias and apply the traditional Blinder–Oaxaca decomposition to examine the gender wage gap.

This research provides new evidence concerning the drivers of the gender pay gap for highly educated workers in Spain.

The results show the existence of empirical evidence about the presence of the gender wage gap among tertiary-educated workers. An interesting conclusion is that holding a master’s degree has a positive impact since it diminishes the unexplained component of the gender pay gap.

The survey used only analyses the labour insertion of tertiary-educated workers and its temporal scope does not allow us to examine the evolution of the gender wage gap throughout their careers.

The findings indicate that there is room for the implementation of policies aimed at diminishing gender inequality in the labour market even for highly educated workers, which could complement the current Spanish labour legislation regulating the gender pay gap in firms.

This paper bridges two bodies of the economic literature: human capital returns and the gender wage gap. The data used represent a contribution to the economic literature.

This study aims to analyze the knowledge transfer process for implementing a company-specific production system (XPS) from a subsidiary of a multinational corporation (MNC) to its local suppliers.

A case study approach was adopted and applied in an automotive supply chain. Empirical data were collected from interviews, observations and internal documents.

The literature shows that the successful XPS implementation depends on the ability to transfer XPS knowledge; the motivation of the source unit to share XPS knowledge; the value and nature of knowledge embedded in XPS; the effectiveness of individual, social and organizational transfer mechanisms; the motivation and absorptive capacity of the target unit and, the organizational, social and relational contexts in which XPS is transferred. Based on the research findings, we develop 12 propositions and presented them in a framework.

This paper expands and enriches the literature on the knowledge transfer process of XPS. The proposed framework establishes theoretical propositions and associations raised by qualitative analysis. However, these propositions are potentially testable on a larger scale for broader generalization.

Managers can recognize critical factors and relationships needed to improve the XPS implementation from an MNC subsidiary to its local suppliers.

The proposed framework provides a scheme to capture the essential critical factors affecting a successful XPS implementation between MNC subsidiaries and local suppliers. Moreover, we found relevant associations between pairs of critical factors that were not identified in the literature.

The purpose of this paper is to create a model that connects drivers between organizational innovation and business model innovation (BMI) to guide empirical research and the design of innovation management strategies.

The model was designed based on the results of a systematic literature review over the past 25 years that provides common predictor variables to build bridges between these two types of innovations.

It is a conceptual relationship between organizational innovation and BMI based on processes, new structures and customer relationship management. Moreover, there are five bridges from common predictors: strategy, top management, exploratory learning, technological innovation and environmental complexity.

The relationships between organizational innovation and BMI have been neglected in the literature. The model fills this gap by proposing hypotheses for empirical research and critical variables and relationships to steer organizational and business model innovation.

A numerical method for shape optimisation in forging is presented. The goal of the optimisation is to eliminate work‐piece defects that may arise during the forging process. A two‐dimensional finite element code has been developed for the simulation of the mechanical process. The material is incompressible and it follows the Norton‐Hoff law. To deal with contact constraint the velocity projection algorithm is used. The optimisation process is conducted using a genetic algorithm supported by an elitist strategy. A new genetic operator called adaptive mutation has been developed to increase the efficiency of the search. The developed scheme is used to design optimal preform shapes for several axisymmetric examples. Continuous and discrete design variables are considered. The objective function of the optimisation problem is associated with the quality of the final product. Comparing the obtained optimal results with the literature validates the proposed optimisation method.

Entrepreneurial and strategic actions are crucial for wealth creation, and the business opportunity is a critical factor in this process. The purpose of this paper is to explore the role of the firm’s strategic posture in the relationship between individual alertness and opportunity identification within an existing firm. This approach contributes to entrepreneurship theory building through a multilevel study.

The quantitative research focuses on understanding the mediating role of an organization’s strategic posture in the opportunity identification process. Using a sample of 276 firms, this study tests a two-level model to explain opportunity identification.

The findings provide empirical evidence that a firm’s strategic posture mediates the relationship between individual alertness and opportunity identification. Furthermore, this study finds differences in the mediating role of a firm’s strategic posture through which entrepreneurs and managers affect opportunity identification. Years after the creation of startup, the entrepreneurs still exhibit entrepreneurial characteristics that affect opportunity identification. The findings provide evidence that entrepreneurs foster an internal culture and set of values that are more favorable to radical innovation, compared to managers who favor incremental and less risky projects.

The findings suggest the possibility for new theory building that can improve the fields of entrepreneurship and management research. Moreover, the proposed model constitutes a new approach to analyze the mediating role of an organization’s strategic posture in the opportunity identification process.

This paper provides an original approach to literature in exploring the relationship between entrepreneurial alertness and firm’s strategic posture in explaining the opportunity identification process. This work will help expand the theory building that explores differences between managers and entrepreneurs in organizations.

Work-life flexibility policies (e.g., flextime, telework, part-time, right-to-disconnect, and leaves) are increasingly important to employers as productivity and well-being strategies. However, policies have not lived up to their potential. In this chapter, the authors argue for increased research attention to implementation and work-life intersectionality considerations influencing effectiveness. Drawing on a typology that conceptualizes flexibility policies as offering employees control across five dimensions of the work role boundary (temporal, spatial, size, permeability, and continuity), the authors develop a model identifying the multilevel moderators and mechanisms of boundary control shaping relationships between using flexibility and work and home performance. Next, the authors review this model with an intersectional lens. The authors direct scholars’ attention to growing workforce diversity and increased variation in flexibility policy experiences, particularly for individuals with higher work-life intersectionality, which is defined as having multiple intersecting identities (e.g., gender, caregiving, and race), that are stigmatized, and link to having less access to and/or benefits from societal resources to support managing the work-life interface in a social context. Such an intersectional focus would address the important need to shift work-life and flexibility research from variable to person-centered approaches. The authors identify six research considerations on work-life intersectionality in order to illuminate how traditionally assumed work-life relationships need to be revisited to address growing variation in: access, needs, and preferences for work-life flexibility; work and nonwork experiences; and benefits from using flexibility policies. The authors hope that this chapter will spur a conversation on how the work-life interface and flexibility policy processes and outcomes may increasingly differ for individuals with higher work-life intersectionality compared to those with lower work-life intersectionality in the context of organizational and social systems that may perpetuate growing work-life and job inequality.

An optimisation method for design of intermediate die shapes needed in some forging operations is presented. The basic problem consists of finding an optimal two‐step forging sequence by automatically designing the shape of the preforming tools. The optimisation problem is defined based on an inverse formulation. The objective function of the optimisation problem is a function describing the quality of the obtained part by measuring the die underfill. The finite element method is used to simulate the forging problem. The optimisation method is based on a modified sequential unconstrained minimisation technique and a gradient method. The sensitivity‐dependent algorithm requires computing the derivatives of the objective function with respect to the design variables defining the preform shapes. A direct differentiation method has been developed for this purpose. The optimisation scheme is demonstrated with two axisymmetric forging examples in which optimal preform dies are obtained.