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Existing research on product design has found that a design’s complexity is an important antecedent of consumers’ aesthetic and behavioural responses. This paper aims to shed new light on the relationship between design complexity and perceptions of design quality by taking the effects of consumers’ naïve theories into account.

The hypotheses of this paper are tested in a series of three experiments.

The findings from three studies show that the extent to which consumers prefer more complex product designs to simpler ones depends on the extent to which they believe that the complexity of a design is indicative of the effort or of the talent of the designers involved in the design process. These competing naïve theories, in turn, are triggered by contextual information that consumers have at their disposal, such as the professional background of a designer or the brand that is associated with a particular design.

This research was limited to a design's complexity as the central design element and to the effects of two naïve theories. Future research may also take other design factors and consumer heuristics into account.

This research reveals that the extent to which managers may successfully introduce both complex and simple designs may depend on the reputation of a company’s designers and the prestige of a brand.

This research examines design complexity from a novel theoretical perspective and shows that the effect of design complexity on perceptions of design quality is contingent on two specific naïve theories of consumers.

Overview All organisations are, in one sense or another, involved in operations; an activity implying transformation or transfer. The major portion of the body of knowledge concerning operations relates to production in manufacturing industry but, increasingly, similar problems are to be found confronting managers in service industry. It is only in the last decade or so that new technology, involving, in particular, the computer, has encouraged an integrated view to be taken of the total business. This has led to greater recognition being given to the strategic potential of the operations function. In order to provide greater insight into operations a number of classifications have been proposed. One of these, which places operations into categories termed factory, job shop, mass service and professional service, is examined. The elements of operations management are introduced under the headings of product, plant, process, procedures and people.

This paper aims to explain why the quality of infrastructure projects in rural China differs from village to village and how project quality is correlated with project design attributes and governance factors.

Using primary data collected by the authors on three types of infrastructure projects in villages across China, they created measures of project quality for each village. They then used both descriptive and multivariate approaches to examine how quality varies from village to village and factors correlated with quality.

Between‐project within‐village quality differences are small and project design has little explanatory power. Between‐village variations are large. There are strong correlations between the ways villages govern themselves and project quality. The authors conclude that it is difficult to make good projects work in communities that lack good governance.

Disaggregated data on the quality of infrastructure (and its determinants) were collected by the authors to allow for variation in the type of infrastructure projects (roads, irrigation, and drinking water) and variation in village governance, making it possible to identify and contrast the effects of project design and village governance factors on project quality. As its chief contribution, this work identifies potential ways to improve the quality of infrastructure projects in rural development.

The purpose of this paper is to investigate the relationship between urban design quality and the real estate value of high street retail properties. Quantitative research on the added value of quality design has seen little advancement during the past two decades and hedonic analysis of the high street retail sector remains embryonic. This paper bridges this gap by providing empirical evidence on the added value of quality design.

The study uses a unique dataset of 301 Belfast City Centre retail transactions during the period 1994‐2009. Ordinary least squares (OLS) regression analysis is used to estimate a hedonic pricing model that utilises a composite range of variables. These variables were designed employing quantitative and qualitative approaches complementarily to strengthen the value of the empirical research.

The findings suggest that aspects of quality design such as connectivity, frontage continuity and variety, material quality and massing appropriateness add to real estate value. These findings supplement those on sector‐specific value determinants that emphasise the high impact of location, tenant characteristic and Zone‐A price calculations.

In analysing high street retail rent determinants this paper focuses on the impact of various aspects of quality design to inform investors and developers about those aspects that are highly valued by city centre retail tenants. Policy makers benefit from the findings through empirically justified built environment benchmarks for improving the quality of life in our cities.

This study provides a quantitative model for measuring urban design quality which uses data from a UK city but has a wider application range. It bridges a significant gap in the literature related to hedonic investigation of the added value of quality design by providing a holistic approach to quality.

Quality 4.0 is essential to the Industry 4.0 framework, notably in the electronics sector. It evaluates product quality in real-time using automatic process controls, quality tools and procedures. The implementation of Quality 4.0 criteria in the electronics industry is the subject of this study’s investigation and analysis. In this study, nine Customer Requirements (CRs) and 18 Design Requirements (DRs) have been defined to adopt Quality 4.0, aiming to increase yield while reducing defects. This study has developed a Quality 4.0 framework for effective implementation, incorporating the People, Process and Technology categories.

Many CRs and DRs of Quality 4.0 exhibit interdependencies. The Analytic Network Process (ANP) considers interdependencies among the criteria at various levels. Quality Function Deployment (QFD) can capture the customer’s voice, which is particularly important in Quality 4.0. Therefore, in this research, we use an integrated ANP-QFD methodology for prioritizing DRs based on the customers' needs and preferences, ultimately leading to better product and service development.

According to the research findings, the most critical consumer criteria for Quality 4.0 in the electronics sector are automatic systems, connectivity, compliance and leadership. The Intelligent Internet of Things (IIOTs) has emerged as the most significant design requirement that enables effective control in production. It is observed that robotics process automation and a workforce aligned with Quality 4.0 also play crucial roles.

Existing literature does not include studies on identifying CRs and DRs for implementing Quality 4.0 in the electronics industry. To address this gap, we propose a framework to integrate real-time quality measures into the Industry 4.0 context, thereby facilitating the implementation of Quality 4.0 in the electronics industry. This study can provide valuable insights for industry practitioners to implement Quality 4.0 effectively in their organizations.

Architectural and engineering firms (design firms) have eschewed implementing quality assurance (QA) and other subsequent aspects of quality such as continuous improvement. Their reluctance to embrace QA has been found to be a contributing factor in the production of poor quality contract documentation. Missing, conflicting and erroneous information contained within contract documentation are major sources of rework and customer dissatisfaction in construction projects. If design firms are to significantly improve the quality of the service they provide, they should implement ISO 9000 quality management and assurance standards. By implementing such standards, it is suggested that design firms will be able to contribute more effectively to the value adding process in the construction supply chain. It is argued that the service offered by design firms should be viewed as a key component of value that drives its success. Therefore, because rework is a major source of dissatisfaction in projects, a case study was used to determine how its occurrence inhibited value creation and thus the quality of service provided. From the case study findings, the need for design firms to implement ISO 9000 quality management and assurance standards so as to improve their service quality is discussed.

The purpose of this paper is to describe the historical approach to concurrent engineering (CE) which has resulted in product line management (PLM) and then evaluates the theoretical models that have been proposed for design for Six Sigma (DFSS) in order to determine which model is able to provide the most consistent approach with historical development of PLM.

The approach begins with an overview of the approach taken by the Union of Japanese Scientists and Engineers (JUSE) in the development of a coherent quality methodology for structured analysis and problem solving – the Deming Wheel of plan‐do‐check‐act (PDCA) which has become the standard model in Japanese total quality management to define a logical decomposition in process management. In Japan, PDCA is the single logical model which has been broadly accepted as the construct for understanding how to develop both strategic and operational quality methods. The second step in the approach is to examine a similar American development of the model for statistical problem solving that is applied in the Six Sigma method for statistical problem solving: define‐measure‐analyze‐improve‐control (DMAIC). Next, the paper examines the historical sequence in the way the product development process has developed over the past forty years, with emphasis on its military origins (especially CE) and which resulted in the generic model for PLM. The final part of this paper examines the models that have been proposed to implement DFSS over the past ten years and evaluate their logical congruence with the engineering community's design process.

Problems in alignment with the engineering design process were identified with all of the DFSS models and with the non‐structured or “heuristic” approach to developing a coherent body of knowledge related to DFSS.

This paper provides a challenge to the quality community as well as to the academic community. The paper points out the need for rigorous examination of logical models that are proposed for guiding the thinking of practitioners in the use of quality methods for both the engineering of products and business systems. An expose of lack of rationality in the way an approach to DFSS has been investigated calls for more responsibility in the management of the development of this body of knowledge.

This research has been conducted to determine the design quality indicators and parameters for affordable housing in Karachi Pakistan. The absence of quality in Karachi housing resulted from various factors ranging from policy failure, violation of bylaws, population, housing scarcity and non availability of quality parameters etc. The amalgamation of these factors eventually lowers the quality of housing and ultimately results deficient housing design and construction. Because of this trend the end users experience the nuisance of unplanned maintenance and bear the tax of heavy repair and reworks. Significance of research has been accomplished through developing design quality models for both professional and users. This research has eventually evaluated forty eight (48) quality indicators for housing design (QIHD) from listed 65 design quality variables farmed in seven sections. This research concludes that existing design quality of affordable housing in Karachi could be enhanced through improving the design, construction, services, site development and neighborhood and sustainability. The QIHD model will provide the opportunity for design and construction professionals of city to rethink their housing design intellect in context of the housing quality.

The purpose of this article is to demonstrate the application of the tools and techniques of Quality by Design (QbD) approach in an Indian pharmaceutical drug product manufacturing company and to understand the challenges, managerial implications and lessons learned while implementing this initiative.

This work adopts the Action Research methodology for impurity reduction in a drug product manufacturing company in India by using the tools and techniques of QbD approach. Various QbD tools like Design of experiments, process capability evaluation and control charts were effectively utilized for the study.

As a part of QbD implementation in the organization, a specific drug product was identified and the impurity level in the product was studied. Significant variables impacting the impurity were identified and the optimum levels for the significant variables were identified through design of experiments. The solutions were implemented and the impurity levels were reduced significantly.

Even though the article is based on a single case study related to tools and techniques of QbD in a single organization in India, the identified problem is a generic product quality related issue for any pharmaceutical drug product manufacturing company. Hence the findings of this research are applicable to pharmaceutical drug manufacturing industry in general.

This article illustrates the systematic usage of various tools and techniques of QbD methodology in a pharmaceutical drug product manufacturing company. The usage of Design of Experiments for process optimization and application of other tools and techniques are ready references for the practitioners and novice users in the field.

Stresses the necessity of systematic design of services. Asserts that systematic design is a necessary pre‐requisite for service quality. Describes how the Nordic School of Services has found that service quality is key to competitiveness and profitability. Asserts that gradually service design stands out as the master key. Introduces the concepts of servuction quality and design quality ‐ the two sources of service quality. Discusses techniques for service design and the relationship between profits, costs and quality. Concludes by summarizing a service design strategy.