Search results

The purpose of this paper is to present the results of a survey study on quality performance measurement practices in the Turkish top 500 manufacturing companies. The study evaluates both financial and non‐financial aspects of quality performance measures in Turkish manufacturing companies.

The methodology of the study was a postal questionnaire survey. The survey was conducted with the top 500 industrial enterprises in Turkey specified by the Istanbul Chamber of Industry (ICI) for the year 2005. These firms are selected and ranked by ICI according to production‐based sales.

Two major findings of the study are: Turkish manufacturing companies utilize non‐financial measures more frequently than financial measures; and Turkish managers perceive non‐financial measures to be more effective than financial measures.

The sample is restricted to the top 500 industrial enterprises in Turkey. As the data in this study were collected from the manufacturing companies, the findings should not be generalized to other sectors.

The study is unique in reflecting the general practices and perceptions of manufacturing companies on quality performance measures across Turkey.

Academic libraries have endured rapid change in the past two decades that has had repercussions on how they manage their organization and deliver library services. Skyrocketing costs, especially for journals, explosive growth in new technologies, fiscal exigencies caused by a tightening of public financing of most academic institutions, demands for greater accountability, and the onslaught of electronic delivery of networked information, are just some of the major obstacles libraries are encountering (Lubans, 1996; Riggs, 1993; Shaughnessy, 1987). Customers of academic libraries are increasingly less satisfied because of limited resources and the difficulties they encounter in accessing printed material in a traditional library facility (Doughtery, 1992). The emergence of textual materials in electronic form has added a new dimension to this discontent. While such resources have the potential for meeting the information needs more dynamically, the costs for information have been exorbitant, particularly since full electronic texts have not been sufficient in coverage to supplant printed resources (Tenopir, 1993). These phenomena require academic libraries to use a more integrated and flexible approach to problem solving (Gapen, Hampton & Schmitt, 1993).

The main objective of this study is to develop a strategy for implementing various quality measurement tools as part of a continuous improvement programme in institutions for the elderly in Portugal.

The empirical data were drawn from a survey performed in 32 institutions for the elderly, aiming to ascertain the level of knowledge of several performance measures and quality tools and their degree of implementation. Based on data and on total quality management principles, a performance measurement framework was designed and tested in two organisations.

The results confirmed the existence of a relevant gap between theory and practice and also showed that innovation measures were considered the less relevant and less used. Overall, it was concluded that the degree of quality management systems implementation (a small number of institutions have a quality system certified) affects positively the success of a performance measurement system.

The findings suggested the utility of the framework for quality improvement; however, some institutions took advantage from isolated improvements and individual measures without adopting a performance measurement system, confirming that the adoption of such a system will face obstacles.

The outcome of the study provides specific knowledge to social area organisations. The proposed framework is also a means of compliance with ISO 9001 requirements on performance measurement and continuous improvement and more general management needs.

This study aims at investigating the existing knowledge in the literature on quality management performance measurement in order to identify performance measures in the field of total quality management and classify measures according to the three levels of supplier, customer and company.

A systematic literature review is conducted at the intersection of performance measurement and total quality management fields. Four databases including Web of Sciences, Scopus, Emerald and Google Scholar were searched up to 2018. A final sample of 24 articles was selected based on the inclusion/exclusion criteria that constitutes the knowledge base of the study.

One of the problems that many organizations face is the lack of knowledge and resources on how to evaluate, improve and manage the quality performance. Through analysis and synthesis of the literature, the study revealed the measures for assessing quality performance at three levels of supplier, customer and company.

This study focuses only on four databases, which may have limited the number of the databases included and thus the scope of this investigation to a certain extent.

The present study aimed to identify and classify different performance measures through a systematic literature review framework classifying these measures into three groups. The article brings together fragmented literature from multiple studies to categorize research output regarding performance measurement of supply chain quality. The paper shows the state of the performance measurement in total quality management in supply chain.

The aim of this paper is to investigate the association of earnings quality with corporate performance of publicly listed firms of China and tries to provide a new explanation. Poor earnings quality is normally characterized by unhealthy profitability and/or untrue financial information, which leads to a misallocation of capital and low corporate performance. The largest emerging economy of China has experienced a fast and fluctuant growth, while the companies have been thought of low earnings quality.

Initial univariate and multivariate analyses are conducted using four earnings quality measures and either accounting-based corporate performance or market-based corporate performance. Further analyses apply unmanaged earnings, earnings-increase management and financially distressed firms.

The authors find that low earnings quality is associated with high corporate performance for the Chinese publicly listed firm in their sample period. Further evidence shows that earnings management is only a contributor to the negative relationship, not its main driver. They argue that the negative association of earnings quality with corporate performance is a phenomenon of a new emerging market within an economy booming period, particularly in China.

The results and argument of this paper may not totally follow the traditional literature. But they provide a new research question that requires further studies.

In theoretical discussion, this paper partitions earnings quality into two components: One results from reporting accuracy and the other results from firm’s operating outcome. In empirical analyses, this paper examines both accounting-based performance and market-based performance, and both managed earnings and unmanaged earnings.

The objective of this paper is to develop an integrated model for performance management (PM) of manufacturing industries.

The proposed integrated model consists of performance measurement by the extended Brown Gibson model by considering the objective and the service quality factors. The quality factor measure has been evaluated by using the analytic hierarchy process. On the non‐compliance of the performance measures with the satisfactory levels, quality function deployment is used to redesign the existing manufacturing process.

This study provides a way to identify the current performance of an organization and a methodology for further improvement. An important contribution of this model is that it combines both the qualitative and quantitative dimensions of manufacturing performance measurement. Both the objective and manufacturing quality factors have been converted into consistent dimensionless indices to measure system performance.

This study has demonstrated the applicability of the model to support a manufacturing unit. It has shown how performance measures have been identified and how they can be used to calculate the two different manufacturing units using time, cost and service quality dimensions. Improving performance is a never‐ending process and organizations should strive to achieve it to attain the optimal level of cost and profit, as well as increase customer satisfaction and goodwill, and gain potential future business. Hence, the process of measuring and redesigning manufacturing performance measures needs to be monitored and the implementation plans reviewed often, which is successfully done by this integrated model.

We contend that the integrated model for PM, illustrated with a practical case in this paper makes a contribution to the never‐ending process of performance enhancement for both theory and application, and assists in expanding the boundaries of theory and practicality in this area, thus highlighting the novelty of our approach.

The successfulness of total quality management is dependent on the initiative of employees to apply their problem solving techniques continuously. However, the performance evaluation is quite subjective since it relies on the individual judgements of supervisors who have different perceptions of the process performance. This paper presents a performance measurement system to determine the priority in execution of quality improvement according to the performances of processes. Using a model containing a set of strategy‐related performance measures, misdirection of implementation of improvement projects due to subjective evaluation of process performance can be reduced. A fuzzy set of quality measures is introduced to calculate numerical quality rating for processes. The model is simulated and experimented on with a conventional improvement implementation practice. It is expected that the proposed model is superior in the major competitive capabilities including quality, cost flexibility, delivery reliability and speed.

Quality is consistently listed as one of manufacturing’s top competitive priorities and has become a prerequisite for success in the global marketplace. Quality helps a firm gain a competitive advantage by delivering goods to the marketplace that meet customer needs, operate in their intended manner, and continuously improve quality dimensions in order to “surprise and delight” the customer. While quality’s significance has been emphasized for years, the contribution of quality to business performance has been largely unexplored. Results of a survey sent to the furniture industry show that quality dimensions ‐ especially design quality and product improvement ‐ are highly correlated with business performance. Quality remains the foundation of competitive advantage, even if a firm’s short‐term attention has drifted to speed‐to‐market, cost reduction and other concerns.

The extent to which an organisation is successful can be influenced by a number of its strategies and business initiatives. This success can be measured internally, using traditional measures such as profitability, return on net assets and cash flow. Equally, this success can also be measured in terms of external measures such as growth, the competition and the impact of a changing business environment. This paper attempts to assess the association between the extent to which TQM initiatives have been successfully implemented and the changes in performance measures both internal and external. This has been done by analysing benchmarking data collected from nearly 450 service organisations from the North East of England. The survey results suggest that the TQM enablers have the greatest impact upon operational performance and then business performance, but only limited impact on external measures of sustainability such as business growth, competitive advantage and change management.

The purpose of this paper is to present a comprehensive framework for quality-related performance measures linked to supply chain risk (SCR) by analyzing and framing them into a hierarchical structure.

In this paper, quality-related performance measures (QM) are identified on the basis of literature survey and expert opinion. The quality measures are formulated as hierarchy structure and fuzzy AHP as a multi attribute decision-making tool is applied to judge the viable candidates.

Based on a fuzzy AHP approach, a revised risk matrix with a continuous scale was proposed to assess the QMs’ classes. The result classifies the QMs in different categories (extreme, high, medium and low). Based on this result, some management implications and suggestions are proposed.

The present work proposes an assessment methodology for quality-related performance measures linked to SCR. The revised risk matrix with continuous scale for risk assessment in this field is a novel approach. This study contributes to the supply chain management and quality management literature, and provides suggestions for managers to adopt different strategies for different risk classes.