Emerald | International Journal of Quality Science | Table of Contents http://www.emeraldinsight.com/1359-8538.htm Table of contents from the most recently published issue of International Journal of Quality Science Journal en-gb Tue, 01 Dec 1998 00:00:00 +0000 1998 Emerald Group Publishing Limited editorial@emeraldinsight.com support@emeraldinsight.com 60 Emerald | International Journal of Quality Science | Table of Contents http://www.emeraldinsight.com/common_assets/img/covers_journal/ijqscover.gif http://www.emeraldinsight.com/1359-8538.htm 120 157 An empirical investigation into methods affecting the quality of new product innovations http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843644&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243595 <strong>Abstract</strong><br /><br />Seventy-five new product development projects were studied in ten large companies to test potential strategic and process antecedents to quality. Seven factors were found to significantly increase product quality: high importance placed on quality by top management, high reward for process speed, high project stream breadth, high use of internal (versus external) sources of ideas and technology, low overlap or concurrency of the development process, low turfguarding or “silo” orientation, and high development milestone frequency. These results suggest that managers need to pay attention to both strategic orientation factors and structure-related organizational capability factors to increase product quality. Staffing-related factors did not seem to have a strong impact on quality; this suggests that quality is more a function of systemic versus individual factors. Additionally, it was found that there were some differences in the factors associated with high-quality products between radical and incremental innovations. However, the study is exploratory and further research needs to test these findings as well as extend them to include other interrelationships between factors. Article literatinetwork@emeraldinsight.com (Eric H. Kessler, Alok K. Chakrabarti) Tue, 01 Dec 1998 00:00:00 +0000 Application of data envelop analysis in benchmarking http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843645&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243603 <strong>Abstract</strong><br /><br />In this paper, we demonstrate how data envelopment analysis (DEA) could be used in benchmarking studies. Our study is based on an empirical survey of small family-owned businesses. This survey identified the separating variables between “high performing” and “low performing” firms in improving organizational performance through quality management. However, it did not suggest how “low performers” can transform to “high performers”. In the present study, we demonstrate this transformation by specifically showing how inefficient companies can become more efficient. This is done by identifying a company or composite companies that an inefficient firm needs to benchmark on a specific quality instrument. The current study will make empirical surveys more functional to industrial practitioners. It is more important to show how companies can continuously improve their processes than to classify them as “high” or “low” performers. Article literatinetwork@emeraldinsight.com (Christian N. Madu, Chu-Hua Kuei) Tue, 01 Dec 1998 00:00:00 +0000 Strategic approaches, organizational design and quality management: Integration in a fit and contingency model http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843646&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243667 <strong>Abstract</strong><br /><br />The main contribution of this paper is to integrate into one model management and organizational fields that are normally analyzed separately: contingency factors, organizational design variables, strategic approaches and quality management approaches. The essential core of the model is constituted by three basic variables of organizational design: level of centralization, level of formalization-standardization, and level of shared vision and common values. Through analysis using this conceptual tool, we can: assess the position of tasks and organizational units in relation to these organizational variables; evaluate the congruence between organizational variables and contingency factors; identify relationships between strategic management approaches and quality approaches; and establish a fit between strategic management approaches, organizational variables, contingency factors and quality approaches. Article literatinetwork@emeraldinsight.com (M.D. Moreno-Luzón, F.J. Peris) Tue, 01 Dec 1998 00:00:00 +0000 An empirical assessment of quality: research considerations http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843647&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243630 <strong>Abstract</strong><br /><br />This paper examines research design issues in quality management studies. Potential research problems are identified and suggestions provided on how these problems could be addressed through effective research design techniques. A good research design enables the researcher to address the right questions and to provide meaningful recommendations. The emphasis of this paper is on empirical research in total quality management. Empirical studies are now common in validating some of the claims associated with quality, especially its association with organizational performance. However, conclusions on tests conducted on quality hypotheses are as good as the research design. Therefore, empirical researchers in the quality management field need to focus more attention on their research design and methodology to ensure that their conclusions are indeed a reflection of their hypotheses. Article literatinetwork@emeraldinsight.com (Christian N. Madu) Tue, 01 Dec 1998 00:00:00 +0000 Comparing tools for service quality evaluation http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843648&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243658 <strong>Abstract</strong><br /><br />Service quality evaluation is one of the main issues that have recently drawn managers’ and researchers’ attention. The definition of an evaluation standard not dependent on any particular service context has determined the popularity of many different quality tools. In this paper we show a comparative analysis of the affected tools that are widely used. These are summarized in an orientation map. Moreover we present some results of an experiment carried out with two of the major quality tools (SERVQUAL and QUALITOMETRO). The results identify good qualities as well as weaknesses for both tools. Possible improvement strategies are presented. Article literatinetwork@emeraldinsight.com (Fiorenzo Franceschini, Marco Cignetti, Mara Caldara) Tue, 01 Dec 1998 00:00:00 +0000 QUALITY CORNER: Internal assessment methodologies: the ubiquity and usefulness of the Baldrige criteria http://www.emeraldinsight.com/journals.htm?issn=1359-8538&volume=3&issue=4&articleid=843649&show=abstract http://www.emeraldinsight.com/10.1108/13598539810243676 <strong>Abstract</strong><br /><br />Companies of all types are investing significant time and resources in regularly “assessing” themselves according to an internally designed set of criteria. More and more, these assessments are focused broadly on entire company systems and less on pure quality criteria, such as the quality of products and services. Although each firm strives to find the “right” set of criteria for their unique position, set of circumstances, and idiosyncratic culture, most seem to gravitate toward a set of loosely defined, generic characteristics which, to a remarkable extent, reflect the broad categories of the Malcolm Baldrige National Quality Award Criteria. This article examines the linkages between broadly defined assessment criteria and the comprehensive structure of the Malcolm Baldrige National Quality Award. Article literatinetwork@emeraldinsight.com (J. Michael Reames) Tue, 01 Dec 1998 00:00:00 +0000