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Preparing digital mock-ups (DMUs) for finite element analyses (FEAs) is currently a long and tedious task requiring many interactive CAD model transformations. Functional information about components appears to be very useful to speed this preparation process. The purpose of this paper is to shows how DMU components can be automatically enriched with some functional information.

DMUs are widespread and stand as reference model for product description. However, DMUs produced by industrial CAD systems essentially contain geometric models, which lead to tedious preparation of finite element Models (FEMs). Analysis and reasoning approaches are developed to automatically enrich DMUs with functional and kinematic properties. Indeed, geometric interfaces between components form a key starting point to analyze their behaviors under reference states. This is a first stage in a reasoning process to progressively identify mechanical, kinematic as well as functional properties of components.

Inferred semantics adds up to the pure geometric representation provided by a DMU and produce also geometrically structured components. Functional information connected to a structured geometric model of a component significantly improves FEM preparation and increases its robustness because idealizations can take place using components’ functions and components’ structure helps defining sub-domains of FEMs.

Future research will carry on improving algorithms for geometric interfaces identification, processing a wider range of component functions, which will contribute to a formalization of the concept of functional consistency of a DMU.

Simulation engineers benefit from this automated enrichment of DMUs with functional information to speed up the preparation of FEAs of large assemblies.

The purpose of this paper is to identify the most important characteristics of functional foods and the motives behind its consumption.

The data were collected in the direct interview. The sample (n=200) consisted of 137 women and 63 men at the age of 18-60 years. The research tool was a questionnaire divided into four sections. The first one included quality attributes. The second one included healthful properties, functional components and carriers. The third one concerned the motives for purchasing functional food and included the consequences and values. In the fourth section the participants were asked about gender, age and education.

Among the quality attributes the research reveals six principal components package of information on healthful properties and nutritional value of the product, attributes of taste, health and safety, practical packaging, freshness, purity and naturalness. In terms of health benefits, two components were distinguished prevention of health problems, strengthening of the body and improvement of its functions. Among functional components, the following were distinguished vitamins and minerals, dietary fibre and Omega-3 fatty acids. As the best carriers the following were recognized: cereal products, dairy products, meat products; mixtures of fruits and vegetables. As the most important consequences motivating people to consume functional food the following were recognized: the health effects of proper nutrition resulting from consciousness raising actions promoting health; and the joy of eating and improvement of the appearance. When it comes to the most important motivating factors, good health, long harmonious life and self-esteem were included. The means to achieve these goals are to be responsible for health.

The key factors determining the functional product and motivating for consumption of functional food may establish a basis for actions related to development and consumption of the food. The understanding of the factors that consumers take into account when choosing functional food will help in shaping the optimal strategies for product development. Learning about the basic motivating factors in consumption may be helpful in the development of healthy nutrition education and promotion programmes. The research may provide valuable support for actions related to food products promotion and marketing.

In this paper we extend established concepts of product and process architectures to propose a concept of organization architecture that defines the essential features of the system design of an organization needed to achieve an effective strategic alignment of an organization with its competitive and/or cooperative environment. Adopting a work process view of organization, we draw on concepts of product and process architectures to elaborate fundamental elements in the design of an organization architecture. We suggest that organization architectures may be designed to support four basic types of change in organization resources, capabilities, and coordination, which we characterize as convergence, reconfiguration, absorptive integration, and architectural transformation. We also suggest the kinds of strategic flexibilities that an organization must have to create and implement each type of organization architecture. We identify four basic types of strategic environments and consider the kinds of changes in resources, capabilities, and coordination that need to be designed into an organization's architecture to maintain effective strategic alignment with its type of environment. We then propose a typology that identifies four basic ways in which organizational architectures may be effectively aligned with strategic environments. Extending the reasoning underlying the proposed alignments of organization architectures with strategic environments, we propose a strategic principle of architectural isomorphism, which holds that maintaining effective strategic alignment of an organization with its environment requires achieving isomorphism across a firm's product, process, and organization architectures. We conclude by considering some implications of the analyses undertaken here for competence theory, general and mid-range strategy theory, and organization theory.

This study matches destination brand components with motives and identifies those components that are most important for the consumer during various stages of the decision process. This study also aims to classify various functional and symbolic brand components. The findings take the customers' point‐of‐view in identifying those descriptors that affect consumer choice preference and create destination loyalty.

The research is exploratory. Through a detailed literature review, destination brand components are identified, simplified and then classified as symbolic or functional. They are also classified by motive. The review is followed by a quantitative study that uses open‐ended questions to find the relationship between destination brand components and the stage of decision making. This study also presents a conceptual model with taxonomy of brand components.

Functional brand components seem to play a major role in a consumer's description of place brands during the various decision making stages. This finding highlights the importance of stressing functional components in the destination's branding strategy.

This study is the first of its type and can serve as a platform for future research, practically helping destinations create more effective communication.

Maintenance disassembly that involves separating failed components from an assembly or system plays a vital role in line maintenance of civil aircraft, and it is necessary to have an effective and optimal sequence planning in order to reduce time and cost in maintenance. The purpose of the paper is to develop a more effective disassembly sequence planning method for maintenance of large equipment including civil aircraft systems.

The methodology involves the following steps: a component‐fastener graph is built to describe the equipment in terms of classifying components into two categories that are functional components and fasteners; interference matrix is developed to determine the removable component, and a disassembly sequence planning of functional components is proposed based on Dijkstra's algorithm; the disassembly sequence planning including fasteners is presented based on particle swarm optimization.

An application case, which takes the nose landing gear system of a regional jet as a study object, shows that the disassembly sequence planning method proposed in the paper can reduce the calculation complexity greatly, and its effectiveness is greater than that of a genetic algorithm‐based method, in most situations.

The method proposed herein can acquire the optimal maintenance disassembly sequence, which can reduce the cost and time for maintenance of large equipment.

A novel and effective disassembly sequence planning solution for maintenance of large equipment is presented, which can be applied to the line maintenance of civil aircraft.

Examines monetary rewards in businesses that combine technical and functional aspects of service. Focusing on the restaurant industry, develops a framework that explains tipping as a reward for the two service dimensions. The technical elements of service are rewarded by dollar tip and the functional elements of service are rewarded by percent tip. An overlap between technical and functional elements results in a conflict between dollar tip and percent tip and, it is suggested, result in a magnitude effect. The framework was tested empirically in a sample of restaurants. The findings indicated that customers' evaluation of the service interaction can be summarized by four main components. Multiple regressions provide initial support to the framework, tying the technical elements to dollar tip and functional elements to percent tip.

Examines the effects of four factors (the bundle: pure or mixed, the price discount, the functional complementarity of bundle components, and the number of bundle components) on consumers’ intentions to purchase product and service bundles. The findings were relatively consistent across product (automobile) and service (automotive service) contexts, and illustrate that pure bundles are preferred to mixed bundles, and a greater price discount is preferred to a lesser one. The results also indicate that five component bundles generate greater purchase intention than either three or seven component bundles, and that “very related” bundle components result in greater purchase intention than either moderately or not related components. Additionally, several interactions are present.

The purpose of this paper is to analyze and forecast the Chinese term structure of interest rates using functional principal component analysis (FPCA).

The authors propose an FPCA-K model using FPCA. The forecasting of the yield curve is based on modeling functional principal component (FPC) scores as standard scalar time series models. The authors evaluate the out-of-sample forecast performance using the root mean square and mean absolute errors.

Monthly yield data from January 2002 to December 2016 are used in this paper. The authors find that in the full sample, the first two FPCs account for 98.68 percent of the total variation in the yield curve. The authors then construct an FPCA-K model using the leading principal components. The authors find that the FPCA-K model compares favorably with the functional signal plus noise model, the dynamic Nelson-Siegel models and the random walk model in the out-of-sample forecasting.

The authors propose a functional approach to analyzing and forecasting the yield curve, which effectively utilizes the smoothness assumption and conveniently addresses the missing-data issue.

To the best knowledge, the authors are the first to use FPCA in the modeling and forecasting of yield curves.

The purpose of this paper is to propose and apply a conceptual model that can be used to evaluate the functional performance of hospitality and tourism websites. This model will evaluate the websites from the perspective of information provision, communication, transactions, relationships, and technological merit, and how that applies to overall website functionality.

The paper uses a case study methodology in order to evaluate a random sample of the top 400 casual dining restaurant chains of 2007. The casual dining restaurant segment is chosen because of its importance in the overall foodservice industry, as well as its predominant use of websites.

Restaurant websites appear to be fairly strong in providing information in a technologically savvy environment. The areas that are found to be lower in functional efficiency are communication, relationship, and transaction. The three lowest‐rated individual attributes of the websites studied in the current research are the use and functionality of banners, reservations, and language on the websites.

As a case study, the limitations of this research are that the findings cannot be generalized to all restaurants because only a sample of casual dining chain restaurants is used. In addition, the model evaluated all of the components of the websites as being equal with the understanding that different website components weigh differently in their importance with consumers.

The implications of the paper are critical for website developers and hospitality organizations as the analysis shows that there is still a gap between customer perceptions of restaurant websites and the potential to use the website to engage and connect with guests. The paper will give industry practitioners some insight into the perceptions regarding the usability of their websites in order to allow the organizations to make changes accordingly.

The paper is pioneering in developing and proposing a conceptual model of website evaluation and applying this theory‐supported conceptual model to the casual dining chain restaurants website evaluation.

The purpose of this paper is to examine the impact of individual components of financial literacy in promoting financial inclusion of poor households in rural Uganda.

The study was cross-sectional combined with correlation and regression analyses. Data were collected from 400 poor households drawn from four regions in rural Uganda. Hierarchical regression analysis was used to test for the contribution of individual components of financial literacy on financial inclusion of poor households in rural Uganda. In addition, confirmatory factor analysis was used to establish existence of convergent validity between the items used to measure the different constructs under study. Furthermore, analysis of variance was also adopted to test for variation in perceptions of poor households on being financially included.

The results generated from the study revealed that only attitude as a component of financial literacy significantly and positively predicts financial inclusion of poor households in rural Uganda. Contrary to previous thinking and empirical studies, behavior, knowledge, and skills are not significant predictors of financial inclusion of poor households in rural Uganda. Overall, the combined effect of the different components of financial literacy explains about 11.2 percent of the variance in financial inclusion of poor households in rural Uganda.

The study was not without limitations. The study adopted only cross-sectional study design, thus, leaving out longitudinal study. Therefore, future studies employing longitudinal research design worth undertaking. Furthermore, the sample although large enough focused only on poor households located in rural Uganda, therefore, ignoring peri-urban and urban areas in Uganda. Besides, the study used only quantitative data, thus, qualitative study using key informant interviews may be considered for further research.

The paper indicates that policy makers, advocates of financial inclusion and researchers, should reconsider investigating individual contribution of the different components of financial literacy in promoting financial inclusion of poor households in rural Uganda. For researchers, it is important to re-analyze the individual components of financial literacy of behavior, knowledge, skills, and attitude in influencing financial inclusion of poor households in rural Uganda.

This paper combines both functional components (behavior and attitude) and non-functional measures (knowledge and skills) of financial literacy to explain financial inclusion of poor households in rural Uganda. Most financial literacy studies have mainly adopted only non-functional measures of knowledge and skills. Besides, these studies ignore the individual contribution of functional components and non-functional measures of financial literacy in explaining financial inclusion of poor households. Thus, this study is the first to examine the impact of individual components of financial literacy in explaining financial inclusion of poor households in rural Uganda.