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This paper aims to report on the physical distortions associated with the use of additive manufactured components for wind tunnel testing and procedures adopted to correct for them.

Wings of a joined-wing test aircraft configuration were fabricated with additive manufacturing and tested in a subsonic closed-loop wind tunnel. Wing deflections were observed during testing and quantified using image-processing procedures. These quantified deflections were then incorporated into numerical simulations and results had agreed with wind tunnel measurement results.

Additive manufacturing provides cost-effective wing components for wind tunnel test components with fast turn-around time. They can be used with confidence if the wing deflections could be accounted for systematically and accurately, especially at the region of aerodynamic stall.

Significant wing flutter and unsteady deflections were encountered at higher test velocities and pitch angles. This reduced the accuracy in which the wing deflections could be corrected. Additionally, wing twists could not be quantified as effectively because of camera perspectives.

This paper shows that additive manufacturing can be used to fabricate aircraft test components with satisfactory strength and quantifiable deflections for wind tunnel testing, especially when the designs are significantly complex and thin.

A collaborative design environment is needed for multidisciplinary design optimization (MDO) process, based on all the modules those for different design/analysis disciplines, and a systematic coupling should be made to carry out aerodynamic shape optimization (ASO), which is an important part of MDO.

Computerized environment for aircraft synthesis and integrated optimization methods (CEASIOM)-ASO is developed based on loosely coupling all the existing modules of CEASIOM by MATLAB scripts. The optimization problem is broken down into small sub-problems, which is called “sequential design approach”, allowing the engineer in the loop.

CEASIOM-ASO shows excellent design abilities on the test case of designing a blended wing body flying in transonic speed, with around 45 per cent drag reduction and all the constraints fulfilled.

Authors built a complete and systematic technique for aerodynamic wing shape optimization based on the existing computational design framework CEASIOM, from geometry parametrization, meshing to optimization.

CEASIOM-ASO provides an optimization technique with loosely coupled modules in CEASIOM design framework, allowing engineer in the loop to follow the “sequential approach” of the design, which is less “myopic” than sticking to gradient-based optimization for the whole process. Meanwhile, it is easily to be parallelized.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

Metaverse, that is extended reality (XR)-based technologies such as augmented reality (AR) and virtual reality (VR), are increasingly believed to facilitate fundamental human practice in the future. One of the vanguards of this development has been the consumption domain, where the multi-modal and multi-sensory technology-mediated immersion is expected to enrich consumers' experience. However, it remains unclear whether these expectations have been warranted in reality and whether, rather than enhancing the experience, metaverse technologies inhibit the functioning and experience, such as cognitive functioning and experience.

This study utilizes a 2 (VR: yes vs no) × 2 (AR: yes vs no) between-subjects laboratory experiment. A total of 159 student participants are randomly assigned to one condition — a brick-and-mortar store, a VR store, an AR store and an augmented virtuality (AV) store — to complete a typical shopping task. Four spatial attention indicators — visit shift, duration shift, visit variation and duration variation — are compared based on attention allocation data converted from head movements extracted from recorded videos during the experiments.

This study identifies three essential effects of XR technologies on consumers' spatial attention allocation: the inattention effect, acceleration effect and imbalance effect. Specifically, the inattention effect (the attentional visit shift from showcased products to the environmental periphery) appears when VR or AR technology is applied to virtualize the store and disappears when AR and VR are used together. The acceleration effect (the attentional duration shift from showcased products to the environmental periphery) exists in the VR store. Additionally, AR causes an imbalance effect (the attentional duration variation increases horizontally among the showcased products).

This study provides valuable empirical evidence of how VR and AR influence consumers' spatial bias in attention allocation, filling the research gap on cognitive function in the metaverse. This study also provides practical guidelines for retailers and XR designers and developers.

This study aims to monitor and guide the assembly process. The operators need to change the assembly process according to the products’ specifications during manual assembly of mass customized production. Traditional information inquiry and display methods, such as manual lookup of assembly drawings or electronic manuals, are inefficient and error-prone.

This paper proposes a projection-based augmented reality system (PBARS) for assembly guidance and monitoring. The system includes a projection method based on viewpoint tracking, in which the position of the operator’s head is tracked and the projection images are changed correspondingly. The assembly monitoring phase applies a method for parts recognition. First, the pixel local binary pattern (PX-LBP) operator is achieved by merging the classical LBP operator with the pixel classification process. Afterward, the PX-LBP features of the depth images are extracted and the randomized decision forests classifier is used to get the pixel classification prediction image (PCPI). Parts recognition and assembly monitoring is performed by PCPI analysis.

The projection image changes with the viewpoint of the human body, hence the operators always perceive the three-dimensional guiding scene from different viewpoints, improving the human-computer interaction. Part recognition and assembly monitoring were achieved by comparing the PCPIs, in which missing and erroneous assembly can be detected online.

This paper designed the PBARS to monitor and guide the assembly process simultaneously, with potential applications in mass customized production. The parts recognition and assembly monitoring based on pixels classification provides a novel method for assembly monitoring.

The goal of this paper is to develop a model which may be used to demonstrate costs and benefits of risk management investments in the context of value-based management.

This paper answers the question of how to quantify changes in company value caused by risk management measures on a theoretical basis. First, a review of empirical studies allowing assertions about the cost and utility of risk management investments is presented. The results of these studies point to a nonlinear shape of the curve and form a basis for the development of a seemingly plausible cost/utility correlation.

In this paper, a model will be developed which can be used to demonstrate costs and benefits of risk management investments in the context of value-based management. It is assumed that at first, risk management expenditures without measurable monetary utility will have to be made. Furthermore, it is assumed to increase more than proportionally, then less than proportionally, until further investments in risk management activities yield only minimal increases in utility and cannot improve company value any further.

By inserting the yet-to-be-determined actual cost/benefit relationship for a company or industry sector into the EVA equation, it is possible to display the effects of risk management measures on the company value. This procedure is principally combinable with the analysis of other value-based control parameters, that is, the Discounted Cash Flow concept or the Cash Value Added methodology.

Risk management is increasingly gaining scientific and public interest, especially since the global financial crisis. Scientists and practical users espouse the benefits of risk management systems in this context. However, the extent to which investments in risk management systems can improve the value of a company remains still unclear.

We could determine that at first risk management expenditures will not result in a monetarily measurable benefit. The remaining slope of the curve is derived as increasing more than proportionally at first, then less than proportionally, until further investments into risk management activities yield almost no additional increase in benefits. In this paper, three different functions are offered to describe the shape of the curve identified. They differ in regard to their free parameters and hence in their flexibility of application. The higher flexibility of functions #2 and #3 is balanced by the disadvantage of increasing formal complexity, possibly leading to an increased effort for implementation and application.

To harness the relationships developed in this paper for practical use, further research should target the identification and empirical verification of dependencies between the parameters and principal company index values.

The purpose of this paper is to identify the negative impact of an incumbent supplier pushing out a buyer, the positive effect of an alternative supplier pulling a buyer, and the mooring impact that prevents a buyer from switching to a supplier in terms of the push-pull-mooring (PPM) model of migration theory. In this context, this study considers a buyer as the immigrant, an incumbent supplier as the origin, an alternative supplier as the destination, and inertia as the hesitance to migrate.

This study collected survey data from 148 end-product manufacturers and first-tier suppliers. It tested whether the PPM model fit in a supply chain relationship (SCR) using the partial least squares structural equation modelling approach and SmartPLS package version 2.0.M3.

The results support all hypotheses for causal relationships among factors of cognitive, affect, and behavioural intentions of each PPM effect. This study identifies the relative importance of each effect on a buyer’s intention of switching an existing supplier.

This study presents a new perspective that enhances the understanding of a buyer’s behaviour towards a supplier by applying the PPM model of migration to a manufacturing SCR. It promotes interdisciplinary and integrated views as well as broadens the diversity of the results in the business-to-business context.

Three strategic perspectives exist in dealing with globalization: convergence with the rational Anglo perspective, divergence of the local cultural perspective, and a hybrid cross‐vergence. A fourth alternative “transvergence” ‐ a transformative reinterpretation and application of the indigenous cultural perspective ‐ is identified, that firms can learn over time to combine their strong ties to the local environment with technological and institutional change. Three case studies highlight the process of transvergence. The findings suggest that a focus on the transvergence perspective can be an important addition to our understanding of how globalization can affect firm behavior and result in new business strategies.