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This paper presents CoreLab, a sizing environment for electrical devices, based on a new software component standard, ICAR, which offers the possibility of multifaceted components. CoreLab supports the different steps of the sizing procedure of an electrical device by using an optimisation algorithm. It is open, which means that modules can be added to perform new functionalities.

The design of an electrical device has to comply with more and more constraints. In order to integrate and to manage all of these constraints during a design step, the paper proposes a sizing methodology based on an constrained optimisation by using analytical models of the device, and by encapsulating them into software components. Added to these services for the calculation of the sizing model, other services can be useful for the designer during the optimization phase, e.g. the geometry display of the device for each optimisation iteration. In this way, the approach proposes a new software component standard, Interfaces for Component Architecture (ICAR). It offers the possibility of multi‐facetted components. The paper also proposes an integrated environment to manage these software components, and their interactions: Core‐Lab. These components are then plugged to an optimisation component (algorithm), which manages the different constraints specified by the designer and finds the optimal sizing of the device.

The paper presents the ICAR standard and an environment to manage ICAR components: Core‐Lab: the creation of the components (from an analytical model or an existing computation); the projection from one component standard to another; and the composition of components to create a more complex one.

The use of software component approach is useful for the sizing of devices. The paper proposes a new standard to support the different aspects of the use of software components during the design of a device: ICAR. Complementary, an open integrated environment is proposed to use these components: CoreLab, but any environment being modified to accept ICAR standard can use ICAR component. So, components can be used in several environments, for example for calculation or optimisation. Components of different types can be gathered together to built a complete application for sizing, e.g. by connection of calculation components (for the sizing model), optimisation component and post‐processing components.

In keeping with recent body image social trends, consumer demand for the adoption of plus-size models is increasing, although the use of thin models remains prevalent. The current study explores how consumers process information about fashion products displayed on different sizes of models in advertisements, focusing on model and consumer body sizes and both genders. As an underlying mechanism explaining how the relationship between model and consumer body sizes shapes consumer purchase intention, this study explores the role of guilt, shame and mental imagery.

The current study uses a text analytics technique to identify female consumers' general opinions of thin models in advertising. Employing a 3 (consumer body size: normal, overweight, obese) × 2 (model body size: thin, plus-size) × 2 (gender: male, female) between-subjects online experiment (n = 718), the main study comparatively analyzes the influences of plus-size and thin models on consumer responses.

The results reveal that, despite body positivity movements, thin models still generate negative emotions among female consumers. For obese female consumers, advertisements featuring plus-size models produce fewer negative emotions but not more mental imagery than advertisements featuring thin models. Conversely, for obese male consumers, advertisements featuring plus-size models generate more mental imagery but not more negative emotions than advertisements featuring thin models. The results also reveal that the relationship between consumer body size and guilt is moderated by perceived model size, which is also moderated by gender in generating mental imagery. While guilt plays a mediating role in enhancing mental imagery, resulting in purchase intention, shame does not take on this role.

This study is the first to present an integrated model that elucidates how consumers with varying body sizes respond to different sizes of models in advertising and how these responses impact purchase intentions.

Our findings only apply to contexts where consumers purchase fashion clothing in response to advertisements featuring thin versus plus-size models.

Exposing normal-size consumers to plus-size models generates less mental imagery, and thus, practitioners should seek to match the body sizes of the models featured in advertising to the body sizes of their target audience or ad campaigns that include both plus-size and thin models may help improve message persuasiveness in fashion advertising. Moreover, guilt-appeal advertising campaigns using thin models would appeal more to thin consumers of both genders than shame-appeal advertising.

Despite the call from the public domain to use normal‐sized models (NM) in advertising and the fact of the recent movement in the practitioner's domain concerning the use of NM, knowledge of the advantages/disadvantages concerning the use of NM in comparison to small‐sized models (SM) is lacking. Prior research indicates that framing changes attitudes by altering the underlying considerations used in one's evaluation, but there are few studies that test framing effects on consumers' judgments of commercial persuasion. Moreover, an actionable understanding of the brand effects on consumers' model evaluation remains unexplored. The purpose of this paper is to address these unresolved issues.

In two studies, the paper examines the effects of different instructional frames on consumers' evaluation of NM as opposed to SM for new brands. The paper also examines how and to what extent brand effects of established brands might alter the effects of instructional frame on NM and SM evaluations. Furthermore, the paper investigates the direct and indirect impact of consumers' health‐consciousness concerning SM on the results. Research findings are discussed.

The present research shows that considering instructional frame and brand effect offers insights into consumers' model evaluations.

This research contributes to literature by bridging four knowledge gaps. First, this research is one of the few which investigated consequences resulting from using NM. Second, knowledge of comparative advantages/disadvantages in the relationship to the use of unconventional models versus SM was lacking until the present research. Third, this research is one of the few which provides empirical evidence of framing effects on consumers' judgment of commercial persuasion. Fourth, brand effects on consumers' model evaluations were unknown until the current research.

This paper aims to investigate the role of body size on female consumers’ fashion brand image perceptions.

An experimental design was used whereby the model’s body size in a fictitious advert was digitally manipulated to create four advertising images with an underweight, slender, average and obese model size (all other factors remained constant). Through an intercept survey of German female consumers, respondents were exposed to one of the four images, and asked questions pertaining to their brand image perceptions.

The findings suggest that for older consumers, model body size has no significant impact on their brand image perceptions. For younger consumers (18-25), there was some limited evidence of how a positive brand image affects when a slender model size is used, but there was no evidence that underweight models have a more positive impact on brand image.

The sample was restricted to a single German city (Berlin) with a relatively small sample and, therefore, the generalisability of the findings may be limited. It would be interesting to repeat the study in different cultural contexts. Whilst this paper focussed on potential differences in perceptions between different age groups, future studies could consider other factors, such as fashion involvement or consumer personality on the impact of body size on brand image.

Given the potential link to low self-esteem and eating disorders, it is recommended that fashion brands cease using clinically underweight models. Brands targeting older consumers may benefit from using larger models.

There is limited research to date that looks at the role of body size on brand image, and this is one of the first studies to consider all non-product-related brand image associations, and how perceptions may differ between different age groups, with many previous studies relying on student samples.

The purpose of this paper is to investigate if brand might affect consumers’ response to replacing size-zero models (SM) with average-sized models (AM) in advertising and how individuals’ psychological states might underlie consumers’ reactions.

Three studies manipulating brand and model body size were conducted and advertising images to female individuals differing in self-esteem were exposed.

This research finds that brand moderates consumers’ model evaluation. Participants evaluated AM as being more attractive than SM for new brands, whereas for well-established brands associated with SM, participants rated both AM and SM as being equally attractive. Self-esteem shapes participants’ evaluation of AM and SM. For new brands, low self-esteem individuals evaluated AM as being more attractive than SM, whereas high self-esteem individuals evaluate AM and SM as being equally attractive. The results are consistent, regardless of whether it is a luxury and a generic brand. These results emerged for both model attractiveness rating and product evaluations.

A better understanding of the relative consequences of the use of AM versus SM is essential for more effective policy initiatives and better targeted marketing campaigns.

Limited research has documented the possible effects of brand on individuals’ responses to AM as opposed to SM. How individuals of different psychological characteristics may react distinctively to advertisements containing AM versus stereotype SM has not yet been explored until this study. This research takes the first step to bridge these knowledge gaps by looking into how brand and perceiver psychological characteristics jointly work with model features to determine how consumers perceive the AM as opposed to SM. This study provides empirical and comparative evidence of the advantages of using AM and SM in print media.

The purpose of this paper is to produce an upper garment model for three-dimensional (3D) pattern making. This model will take into account ease allowance and silhouette, and will be used to propose a size-changing method.

The authors used two real garment bodices with a surface suitable for pattern development. The garments were fitted to a designated dummy body and scanned. Using the scanned data, the authors made those upper garment basic models suitable for 3D pattern making. Using one model, the authors produced two bodice patterns, one with the original seam lines and the other with seam lines that differed from the original ones, and then compared them with the original jacket bodice. To construct garment models that were different in size from the basic model, the authors calculated multiplication factors of cross-sectional dimensions (in the front, back and lateral directions) between the basic garment and the actual garment shape worn on a body for each basic model. Using the multiplication factors, the authors made two different size garment models from two different size dummies for each basic model. The authors used these models to make patterns and garments.

The reproduced jackets had similar shapes, silhouettes and ease allowances to the original jacket. Two garments of different sizes for each original jacket were made using the multiplication factors, and these garments also had similar silhouettes to the original jacket.

The implications of the work could be the new size-changing method.

Using the modeling method, the authors were able to make complex new garment models that take into account ease allowance and silhouette. The ability to size these models up or down using multiplication factors could be a substitute for the grading method.

This paper deals with the collaborative design of electromagnetic devices over the internet network. The design is made by both mechanical and electrical engineers. So, the paper tries to show the importance but also constraints to size such a system using a collaborative optimisation process.

The paper compares two approaches in order to size an electromechanical actuator between mechanical and electrical engineers. In the first one, each profession designs its part, and only common constrained are negotiated. This can result in a design process with many iterations. In the second one, electrical and mechanical engineers built together a common model of the structure and a common list of specifications: this allows a global optimisation that is more efficient.

The main result of the paper is that the second approach in which a global model is built between electrical and mechanical engineers is more efficient.

The originality of the paper is to explore the problems and difficulties of an optimisation of an electromechanical device between engineers of different culture working together over the internet network.

Previous studies have shown that stock returns bear a premium for downside risk versus upside potential. We develop a new risk measure which scales the traditional CAPM beta by the ratio of the upside beta to the downside beta, thereby incorporating the effects of both upside potential and downside risk. This “modified” beta has substantial explanatory power in standard asset pricing tests, outperforming existing measures, and it is robust to various alternative modeling and estimation techniques.

The paper deals with the sizing of a flyback converter. The approach proposes to use symbolic calculation to perform sizing times, the accuracy and the number of parameters to size. So, it presents a symbolic model to size a flyback converter using optimisation techniques. Such an approach is preferred to a simulation approach thanks to the flexibility of symbolic models and their possibility to treat a great set of criteria in few seconds or minutes. The expressions of a great part of the criteria are made by an automatic symbolic process – model builders – and the others are carried out by the designer. Such a model is used in a gradient optimisation process well known for its convergence properties. From this model, a builder carries out automatically the building of a dedicated sizing tool, by automatically transforming it into an optimisation problem and by automatically giving the corresponding sizing tool with its GUI.