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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.

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 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.

The purpose of this paper is to investigate food bank actors’ knowledge of food insecurity in Germany and in Italy, as well as interactions between food bank actors and food bank users. The study builds on a knowledge framework from an educational context and applies it to food banks.

The study uses a qualitative research approach. In all, 22 in-depth interviews were recorded, transcribed and analyzed through inductive qualitative content analysis.

German and Italian food bank actors interviewed had at least situational knowledge on food insecurity. Some actors of the Italian food bank also showed procedural knowledge. Interactions between food bank personnel and users were affected by feelings of gratitude, shame, anger and disappointment.

The study explores food bank personnel’s knowledge on food insecurity, which appears to be a knowledge gap, even though many prior studies were dedicated to food banks and food insecurity. The study contributes to knowledge systematization to provide best practice recommendations for volunteer-user interaction, and suggests how food bank managers and volunteers’ knowledge can be improved.

The managerial questions of this paper are as follows, and the authors are trying to solve them: How revenue sharing contract (CSR) degree and government subsidy affect the agri-food quality? What kind of model (WPC, revenue-sharing contract [RSC] and cooperative) would be more effective in motivating manufacturers and retailer to increase effort and improve agri-food quality? What kind of model (WPC, RSC and cooperative) would make manufacturer and retailer better off?

Considering the jointing quality effort and contract decision in green agri-food supply chain, this paper proposes six models that consider CSR of manufacturer and retailer, and then the obtained optimal solutions are compared and analyzed. At the same time, the impact of government subsidies is analyzed, and corresponding conclusions are drawn.

The results show that, first of all, whether the increasing CSR of the manufacturer or the retailer can motivate both parties to improve the agri-food quality effort investment. Second, the WPC and RSC contract may play different role in different cases. Finally, under the model with government subsidies, regarding positive influence of government subsidies on efforts of manufacturer and retailer, quality and profits of members is investigated. Based on these conclusions, this study puts forward the following policy suggestions. Firstly, governments should formulate reasonable subsidy policies to support manufacturer and retailer to improve the agri-food quality, thereby promoting green industries' development. Secondly, manufacturer and retailer should actively improve CSR and strengthen the effort of agri-food so as to advance quality. Finally, manufacturer and retailer can choose cooperative model or WPC contract.

In this paper, one manufacturer and one retailer are considered. Since the agri-food supply chain structure in reality is more complicated, the future research direction can consider the supply chain structure with one manufacturer and multiple retailers. In addition, this paper only considers the subsidy, and future research can classify the subsidy into different types.

The study makes two substantive contributions to the body of knowledge in the field of sustainable operations:(1) incorporating quality-based demand function in supply chain and dynamic process of agri-food quality; (2) exploring the impact of CSR awareness of members and subsidy of government on agri-food quality, and comparing the influence in different models.

The purpose of this paper is to outline the link between value creation, performance measurement and goodwill accounting according to the International Financial Reporting Standards (IFRS) and United States Generally Accepted Accounting Principles (US‐GAAP). Since economic goodwill is identical to the present value of future residual income, the paper examines how accounting information gathered for impairment testing of goodwill according to International Accounting Standard (IAS) 36 and Financial Accounting Standard (FAS) 142 can be used for internal control purposes.

The paper adopts common assumptions in the literature of residual income‐based valuation and analytically derives a periodic performance measure of both value creation and its realization based on information available from impairment testing.

This paper demonstrates that information required by IFRS and US‐GAAP to evaluate a firm's goodwill can be used to design a performance measurement system which provides information about both value creation and realization of value.

From a practical perspective, the paper shows that appropriate adjustments of data used in impairment testing result in information which ideally fits the requirements of an optimal performance measurement system.

The paper presents a performance measure which provides information about the actual creation of value as well as its realization in a period and is superior to traditional residual income‐based performance measures.

Transfer pricing stands at the heart of a MNE management control system. We review the theories of TCE and RBV and develop antecedents and consequences of transfer prices based on these theories. We propose viewing transfer pricing decisions through a TCE and RBV value chain framework. We review a sample of transfer pricing literature based on this theoretical perspective and show how it fits within our framework. Our framework suggests that setting transfer pricing policy is indeed a complex problem that includes many factors and has many consequences, some of which may be at odds with each other. We give some suggestions for future research based on this framework.