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The essential investments in new product development (NPD) made by industrial companies entail effective management of NPD activities. In this context, performance measurement is one of the means that can be employed in the pursuit of effectiveness.

The proliferation of inspirational leadership and management publications available in libraries and bookshops suggests that there are many paths to excellence. Much of the literature is written with a business or corporate audience in mind; however, it is a source of ideas, theories and models that, potentially, can be applied in public or not-for-profit organisations. One theory which has enjoyed a long history of debate and discussion in management studies is quality management, variously referred to as TQM, quality assurance, total quality control or one of the many other alternatives. In this chapter the applicability and potential benefits, as well as the challenges and obstacles, of adopting one version of total quality management in a library setting are examined.

Using data collected in 1999 from manufacturing units, this paper reports the results of an investigation into the interactive effect of benchmarking and incentives on manufacturing unit performance. Based on a mail questionnaire sent to a sample of manufacturing units within U.S. electronic industry, the results of this paper provide evidence of significant interaction effect of benchmarking and incentives resulting in product cost improvement and product quality performance.

This chapter introduces benchmarking as a multifaceted concept based on action-oriented approach that goes beyond the simple study of a process or the search for a performance measure; through the measurement, analysis, and comparison with the best internal or external references benchmarking encourages the organization to identify areas for improvement and activate the corresponding actions. The experiences of the last 30 years brought out different types of benchmarking, defined and used in relation to the different dimensions of analysis and objectives of a benchmarking project. The analysis provides guidelines for the understanding and implementation of a benchmarking project, and emphasizes that there are no formal rules to identify the most suitable configuration of all, but different business objectives simply pave the way for methods and structures more consistent with the expected results.

The role of firm attributes as a source of competitive advantage has been discussed previously in the tourism marketing strategy field. Benchmarking, a recognized learning model, is recommended as a tool to identify and improve the competitiveness of a firm. The present study employs the importance–performance analysis (IPA) to benchmark five nature- and culture-based attractions in Northern Norway. Altogether, 701 respondents participated in the on-site survey, i.e., during their vacation experiences. The present study reveals several interesting and useful managerial insights and implications for the tourist attraction industry in general as well as for the individual tourist attraction firm measured. Consequently, this study contributes to management by integrating theory and empirical data to investigate whether benchmarking, as a company learning tool, may lead to improved performance. Based on the study results, the present work suggests strategies and potential improvements for the respective tourist attractions.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

The increasing use of complex, nonfinancial environmental performance measures in managerial decisions motivates consideration of contextual influences that potentially impact managerial judgments in environmental settings. This study extends general evaluability theory (GET: Hsee & Zhang, 2010) to environmental accounting by investigating the combined effects of evaluation mode and incomplete supplemental evaluability information (SEI; e.g., benchmark data) on management decisions. To elaborate, evaluation mode is the display format in which the accounting information system (AIS) provides available information for analysis; e.g., a manager’s or business unit’s performance is assessed either comparatively (i.e., in joint mode) or individually (i.e., in separate mode). GET suggests more decision weight on measures containing SEI in separate mode because that evaluation mode contains less context in which to analyze information. On the other hand, more decision weight should result for measures that do not contain SEI in joint mode because that mode already contains more context for analysis (e.g., comparing multiple performances with each other). To test these predictions, experimental participants (n = 53) evaluated environmental measures for factories with similar environmental performances. To operationalize the information available in many environmental AIS, some, but not all, performance measures contained benchmark data (incomplete SEI); factories were evaluated either jointly or separately. Participants evidenced decision intransitivity; i.e., in separate evaluation mode, factories rated higher when a favorable measure contained SEI, while in joint evaluation mode, factories rated higher when a favorable measure lacked SEI. The results extend previous AIS and management accounting research by investigating contextual influences, and potential systems design elements, in judgments using environmental AIS.

Hospitals worldwide are facing the same opportunities and threats: the demographics of an aging population; steady increases in chronic diseases and severe illnesses; and a steadily increasing demand for medical services with more intensive treatment for multi-morbid patients. Additionally, patients are becoming more demanding. They expect high quality medicine within a dignity-driven and painless healing environment.

The severe financial pressures that these developments entail oblige care providers to more and more cost-containment and to apply process reengineering, as well as continuous performance improvement measures, so as to achieve future financial sustainability. At the same time, regulators are calling for improved patient outcomes. Benchmarking and best practice management are successfully proven performance improvement tools for enabling hospitals to achieve a higher level of clinical output quality, enhanced patient satisfaction, and care delivery capability, while simultaneously containing and reducing costs.

This chapter aims to clarify what benchmarking is and what it is not. Furthermore, it is stated that benchmarking is a powerful managerial tool for improving decision-making processes that can contribute to the above-mentioned improvement measures in health care delivery. The benchmarking approach described in this chapter is oriented toward the philosophy of an input–output model and is explained based on practical international examples from different industries in various countries.

Benchmarking is not a project with a defined start and end point, but a continuous initiative of comparing key performance indicators, process structures, and best practices from best-in-class companies inside and outside industry.

Benchmarking is an ongoing process of measuring and searching for best-in-class performance:

• Measure yourself with yourself over time against key performance indicators

• Measure yourself against others

• Identify best practices

• Equal or exceed this best practice in your institution

• Focus on simple and effective ways to implement solutions

Measure yourself with yourself over time against key performance indicators

Measure yourself against others

Identify best practices

Equal or exceed this best practice in your institution

Focus on simple and effective ways to implement solutions

Comparing only figures, such as average length of stay, costs of procedures, infection rates, or out-of-stock rates, can lead easily to wrong conclusions and decision making with often-disastrous consequences. Just looking at figures and ratios is not the basis for detecting potential excellence. It is necessary to look beyond the numbers to understand how processes work and contribute to best-in-class results. Best practices from even quite different industries can enable hospitals to leapfrog results in patient orientation, clinical excellence, and cost-effectiveness.

Despite common benchmarking approaches, it is pointed out that a comparison without “looking behind the figures” (what it means to be familiar with the process structure, process dynamic and drivers, process institutions/rules and process-related incentive components) will be extremely limited referring to reliability and quality of findings.

In order to demonstrate transferability of benchmarking results between different industries practical examples from health care, automotive, and hotel service have been selected.

Additionally, it is depicted that international comparisons between hospitals providing medical services in different health care systems do have a great potential for achieving leapfrog results in medical quality, organization of service provision, effective work structures, purchasing and logistics processes, or management, etc.

This chapter, completed in 1999, provides an overview and critical analysis of the validity research agenda undertaken by the National Board for Professional Teaching Standards (NBPTS) for its assessment to certify accomplished teachers at the end of its first decade of assessment development and implementation. The review is presented in three major sections: (a) an overview of the validity criteria underlying the review; (b) a description of the National Board's research agenda presented in its own terms, focusing first on the studies that were routinely carried out for each certificate and second on the “special studies” that were not part of the routine agenda; and (c) a series of six critical observations and explanations based on the validity issues described in the first section.