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The purpose of this paper is to define measures that small- and medium-sized enterprises (SMEs) can use for evaluating continuous innovation and to analyze types of SMEs, according to the innovation measures they use and their characteristics in terms of size and operational and financial performance.

The data were gathered with the help of a structured survey questionnaire from a cross-section of firms in both the manufacturing and service sectors in Finland. The data were analyzed in terms of factor and cluster analyses.

Three measures of continuous innovation and three types of SMEs were defined based on their continuous innovation measures. It was found that firms using all three types of innovation measures also register above-average financial and operational performance compared to those that do not.

This study attempts to improve the precision of performance measurement and the management of continuous innovation in firms by expanding and refining existing measurement guidelines and principles. In particular, this work approaches the subject of continuous innovation measurement from the standpoint of SMEs.

The purpose of this study is to contribute to the knowledge base on how performance measurement drives improvements in healthcare practice.

The study is based on a single in-depth case study. The critical incident technique (CIT) has been applied in order to identify significant occurrences of performance measurement in terms of events, incidents, processes, and issues identified by respondents from the case organization. These critical incidents have been analysed and interpreted using a theoretical framework suggesting that performance measurement may be applied for exploratory or regulatory purposes as well as ad hoc or continuously in healthcare practice.

The study suggests that performance measurement may be a versatile method for driving improvement in healthcare organizations. Six types of activities directly or indirectly drive improvement in the clinical department: continuous follow-up in formal arenas and meetings; improvement work; professional efforts; goal deployment; reporting based on external demands; and creating awareness in everyday clinical work. Healthcare organizations that strive to practice performance measurement as a driver for improvement need to find infrastructures in which it is being integrated into the daily life of organizational healthcare practice.

The study provides an original account of the prerequisites and actions for driving improvement through performance measurement in a healthcare setting. Since the operations management perspective in healthcare is significantly lacking, the study offers a unique perspective which may be the basis for both practice development and further scholarly inquiry and theory development.

The purpose of this paper is to develop an effective methodology for implementing lean manufacturing strategies and a leanness evaluation metric using continuous performance measurement (CPM).

Based on five lean principles, a systematic lean implementation methodology for manufacturing organizations has been proposed. A simplified leanness evaluation metric consisting of both efficiency and effectiveness attributes of manufacturing performance has been developed for continuous evaluation of lean implementation. A case study to validate the proposed methodology has been conducted and proposed CPM metric has been used to assess the manufacturing leanness.

Proposed methodology is able to systematically identify manufacturing wastes, select appropriate lean tools, identify relevant performance indicators, achieve significant performance improvement and establish lean culture in the organization. Continuous performance measurement matrices in terms of efficiency and effectiveness are proved to be appropriate methods for continuous evaluation of lean performance.

Effectiveness of the method developed has been demonstrated by applying it in a real life assembly process. However, more tests/applications will be necessary to generalize the findings.

Results show that applying the methods developed, managers can successfully identify and remove manufacturing wastes from their production processes. By improving process efficiency, they can optimize their resource allocations. Manufacturers now have a validated step by step methodology for successfully implementing lean strategies.

According to the authors' best knowledge, this is the first known study that proposed a systematic lean implementation methodology based on lean principles and continuous improvement techniques. Evaluation of performance improvement by lean strategies is a critical issue. This study develops a simplified leanness evaluation metric considering both efficiency and effectiveness attributes and integrates it with the lean implementation methodology.

The purpose of this paper is to develop a new conceptual life cycle performance measurement system (PMS) based on stage level key performance indicators (KPIs) to measure the performance of build–operate–transfer (BOT) projects.

This study uses a literature review to reveal the deficiencies of existing PMSs for public–private partnership (PPP) projects. Based on these deficiencies, four recommendations were proposed for developing a PMS. The validation of these recommendations was performed via focus group discussion sessions conducted with 12 experts. Then, a conceptual framework was developed based on the validated recommendations and the additional recommendations emerged during focus group discussions. Finally, the recommendations proposed by the focus group were tested by a questionnaire survey, the findings of the Friedman test and descriptive analysis validated these recommendations.

Findings of the focus group discussion, Friedman test and descriptive analysis indicated that the PMS should have four crucial features to develop an efficient, effective and comprehensible PMS for the BOT project. Firstly, non-financial and financial KPIs should be integrated. Secondly, the PMS should be developed as a process-based system with stage level KPIs. The performance of the BOT projects should be monitored and reviewed continuously, however the most important KPIs should be used for continuous performance measurement to increase the applicability of the system and allocate the resources more efficiently.

This survey was conducted on experts who have experience with BOT projects located in Turkey, therefore, judgments of experts might be affected by external factors specific to Turkey such as geopolitical situations, investment environment. However, due to the nature of BOT projects, the experience of experts can also be utilized at the international level.

This is the first time a PMS has been developed to measure the performance of a BOT project. In addition, this system has unique features when compared with the PMS proposed in the literature. Especially, the stage level KPIs and continuous performance measurement with the most important KPIs throughout each stage has never been used. This research provides both public sector and private entities with an insight into effectively measure, control and manage their BOT infrastructure projects' performances throughout their life cycles.

The purpose of this paper is to propose an integrated performance measurement framework to measure the effect of lean implementation throughout all functions of an organization.

The paper identifies the seven categories representing all organizational functions. These categories have been divided into 26 performance dimensions and key performance indicators (KPIs) for each performance dimension have been identified to measure lean performance. The interrelationship of each category with lean principles and/or lean wastes has been identified. KPIs are developed on the basis of identified criteria, frequency analysis of existing literature, and discussion with industry professionals. Finally, an integrated performance measurement framework is proposed.

The proposed framework evaluates the organization under seven categories – manufacturing process, new product development (NPD), human resource management, finance, administration, customer management, and supplier management. In total, 26 dimensions and 119 key performance indicators have been identified under the seven categories.

The proposed framework is a conceptual framework and it is to be tested by empirical and cross-sectional studies.

The main novelty of the research is that the leanness of the organization has been measured throughout the supply chain of the organization in an integrated way. The various areas of measurement are manufacturing process, NPD, finance, administration, customer management, and supplier management. Further, the proposed KPIs are also categorized as qualitative or quantitative, strategic or operational, social or technical, financial or non-financial, leading or lagging, static or dynamic. This paper contributes to the body of knowledge in performance measurement.

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.

The purpose of this paper is to develop a comprehensive continuous innovation capability (CIC) measurement model in manufacturing sectors.

The development of this CIC model was conducted through three stages of research, i.e. identification of manufacturing continuous innovation measures (MCIMs), development of measurement model, followed by model evaluation and validation. MCIMs were identified using systematic literature review and focus group discussion. Selection process for MCIMs employed the fuzzy Delphi method. To develop measurement model, contextual relationships between MCIMs were assessed using total interpretive structural modeling, followed by measurements of MCIMs weight with the analytical network process method. Then, assessment indicators for each MCIM and criteria were determined as well as mathematical model to measure CIC scores. Model evaluation and validation were performed in two case studies: in an automotive company and an electronics company.

This research produced 50 criteria and 103 assessment indicators, as well as mathematical model to measure CIC scores. The validation process showed that currently developed model was deemed valid.

The results of this research are expected to provide a practical input for manufacturing company managers in managing their innovation activities systematically and comprehensively.

The CIC model is a new comprehensive measurement model; it integrates three fundamental elements of CI capability measurement, considering all important dimensions in a company and also able to explain contextual relationships between measured factors.

Performance improvement is high on the agenda of many companies around the world and with the growing number of improvement models now available care has to be taken to adopt an approach that will yield the most attractive return on investment. This paper compares and contrasts two widely known and well‐publicized improvement models: Kaplan and Norton’s Balanced Scorecard and the EFQM Excellence Model. Each consists of a non‐prescriptive template offering managers a relatively small number of categories of key performance metrics to focus on. Here, they are examined from a critical perspective with regard to five central issues represented by five questions relating to objectives, strategies and plans, target setting, reward structures and information feedback loops. The analysis conducted reveals that despite having some significant differences both approaches seem to be developed from similar concepts. The paper concludes that it is difficult to find a perfect match between a company and a performance measurement framework and that further research should concentrate on how to implement strategic performance frameworks effectively in specific types of organization.

This paper succinctly critiques the benchmarking literature and the performance measurement literature in regards to the novel concept of lead benchmarking as a possible means of achieving increased radical and innovative transformation in organizations. For the purposes of the paper, a working definition of lead benchmarking and performance measurement is: benchmarking and performance measurement, which focuses on analysing forward looking, predictive and future performance comparisons. This critique distinctly highlights that the currency of benchmarking and performance measurement needs a radical and indeed innovative transformation to adhere to the dynamics of the business environment. This critique raises various questions of interest. These issues will be investigated later through further research by conducting rich empirical research, whereby descriptions and explanations will be developed of the what, where, who, how and why of the benchmarking concept and the extent to which organizations carry out lead benchmarking