Design and designing:a critical introduction

Design and Designing provides a broad and critical understanding of what is essentially a practical subject. Designing today is less a craft and more a part of the knowledge economy. It's all about knowing how to acquire knowledge and how to apply it creatively. Design and Designing covers the design process, modelling and drawing, working with clients, production and consumption, sustainability, professional practice and design futures. Chapters are written by expert teachers and practitioners from around the globe, each presenting an accessible and engaging overview of their field of design. Every chapter is highly illustrated with a combination of images and information boxes, which extend or highlight key material. Each section concludes with a design project, a hands-on activity for the reader. Design and Designing covers the full spectrum of design types, from graphic communication to product design, from fashion to games design, setting every type in its aesthetic, ethical and social contexts. With this essential book, readers will learn from today's best practice and best thinking in design, they will develop a critical sense, and become the designers of tomorrow.

Optimal design for correlated processes with input-dependent noise

Optimal design for parameter estimation in Gaussian process regression models with input-dependent noise is examined. The motivation stems from the area of computer experiments, where computationally demanding simulators are approximated using Gaussian process emulators to act as statistical surrogates. In the case of stochastic simulators, which produce a random output for a given set of model inputs, repeated evaluations are useful, supporting the use of replicate observations in the experimental design. The findings are also applicable to the wider context of experimental design for Gaussian process regression and kriging. Designs are proposed with the aim of minimising the variance of the Gaussian process parameter estimates. A heteroscedastic Gaussian process model is presented which allows for an experimental design technique based on an extension of Fisher information to heteroscedastic models. It is empirically shown that the error of the approximation of the parameter variance by the inverse of the Fisher information is reduced as the number of replicated points is increased. Through a series of simulation experiments on both synthetic data and a systems biology stochastic simulator, optimal designs with replicate observations are shown to outperform space-filling designs both with and without replicate observations. Guidance is provided on best practice for optimal experimental design for stochastic response models. © 2013 Elsevier Inc. All rights reserved.

Productivity growth and efficiency measurements in fuzzy environments with an application to health care

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. The Malmquist productivity index (MPI) is widely used for productivity analysis by relying on constructing a best practice frontier and calculating the relative performance of a DMU for different time periods. The conventional DEA requires accurate and crisp data to calculate the MPI. However, the real-world data are often imprecise and vague. In this study, the authors propose a novel productivity measurement approach in fuzzy environments with MPI. An application of the proposed approach in health care is presented to demonstrate the simplicity and efficacy of the procedures and algorithms in a hospital efficiency study conducted for a State Office of Inspector General in the United States. © 2012, IGI Global.

Online-questionaire design guidelines

As a new medium for questionnaire delivery, the internet has the potential to revolutionize the survey process. Online (web-based) questionnaires provide several advantages over traditional survey methods in terms of cost, speed, appearance, flexibility, functionality, and usability. Designers of online-questionnaires are faced with a plethora of design tools to assist in the development of their electronic questionnaires. Little, if any, support is incorporated, however, within these tools to guide online-questionnaire designers according to best practice. In essence, an online-questionnaire combines questionnaire-based survey functionality with that of a webpage/site. As such, the design of an online-questionnaire should incorporate principles from both contributing fields. Drawing on existing guidelines for paper-based questionnaire design, website design (paying particular attention to issues of accessibility and usability), and existing but scarce guidelines for electronic surveys, we have derived a comprehensive set of guidelines for the design of online-questionnaires. This article introduces this comprehensive set of guidelines – as a practical reference guide – for the design of online-questionnaires.

Debate : arm's- length bodies and alternative models of service delivery

This article reflects on the UK coalition government’s ‘alternative models’ agenda, specifically in terms of the adoption of new models of service delivery by arm’s-length bodies (ALBs). It provides an overview of the alternative models agenda and discusses barriers to implementation. These include practical challenges involved in the set up of alternative models, the role of sponsor departments, and the effective communication of best practice. Finally, the article highlights some issues for further discussion.

What difference doguidelines make? An observational study of online-questionnaire design guidelines put to practical use

As a new medium for questionnaire delivery, the Internet has the potential to revolutionize the survey process. Online-questionnaires can provide many capabilities not found in traditional paper-based questionnaires. Despite this, and the introduction of a plethora of tools to support online-questionnaire creation, current electronic survey design typically replicates the look-and-feel of paper-based questionnaires, thus failing to harness the full power of the electronic delivery medium. A recent environmental scan of online-questionnaire design tools found that little, if any, support is incorporated within these tools to guide questionnaire designers according to best-practice [Lumsden & Morgan 2005]. This paper briefly introduces a comprehensive set of guidelines for the design of online-questionnaires. Drawn from relevant disparate sources, all the guidelines incorporated within the set are proven in their own right; as an initial assessment of the value of the set of guidelines as a practical reference guide, we undertook an informal study to observe the effect of introducing the guidelines into the design process for a complex online-questionnaire. The paper discusses the qualitative findings — which are encouraging for the role of the guidelines in the ‘bigger picture’ of online survey delivery across many domains such as e-government, e-business, and e-health — of this case study.

Guidelines for the design of online-questionnaires

As a new medium for questionnaire delivery, the internet has the potential to revolutionise the survey process. Online (web-based) questionnaires provide several advantages over traditional survey methods in terms of cost, speed, appearance, flexibility, functionality, and usability (Bandilla et al., 2003; Dillman, 2000; Kwak and Radler, 2002). Online-questionnaires can also provide many capabilities not found in traditional paper-based questionnaires: they can include pop-up instructions and error messages; they can incorporate links; and it is possible to encode difficult skip patterns making such patterns virtually invisible to respondents. Despite this, and the introduction of numerous tools to support online-questionnaire creation, current electronic survey design typically replicates that of paper-based questionnaires, failing to harness the full power of the electronic delivery medium. Worse, a recent environmental scan of online-questionnaire design tools found that little, if any, support is incorporated within these tools to guide questionnaire designers according to best-practice (Lumsden and Morgan, 2005). This article introduces a comprehensive set of guidelines - a practical reference guide - for the design of online-questionnaires.