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This study examines the links between financial performance and executive compensation for high-performance companies (HPC). HPC display sustained and superior cash flow returns, asset growth, and total shareholder returns. In previous empirical analysis, HPC companies displayed specific identifiable financial performance drivers and measures when compared to companies in the S&P 500 (Needles et al., 2004). Most recently, HPC sustained their high performance when compared to the S&P 500 over varied economic periods. Further, the research identified operating asset management characteristics of these companies, especially as they relate to the cash cycle (Needles et al., 2004). Continuing this stream of research, this study first identifies the financial and non-financial performance measures related to compensation of top management of HPC as reported in the companies’ public disclosures. Then, these findings for HPC are matched to a set of comparable non-HPC. Finally, we evaluate the stated performance measures for executive compensation in light of the performance drivers and measures identified by previous research to be distinguishing characteristics of HPC. We hypothesize that HPC will more closely align stated performance measures for executive compensation with performance characteristics that have been shown to be characteristics of HPC. We find that HPC are more focused and unambiguous in their use of both financial and non-financial performance measures in executive compensation.

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).

Purpose – The adoption of performance measurement and evaluation systems comprising nonfinancial measures has rendered the investigation of behavioral consequences of such measures an increasingly important research issue. The purpose of this study is to investigate the process by which the use of nonfinancial measures affects employees’ perceptions of procedural fairness. It proposes that the effects of nonfinancial measures on procedural fairness are indirect through the mediating variables of (1) job relevant information and (2) role clarity.

Methodology – Data collected from a survey of 276 managers in different functional areas are used to test the models. The data are analyzed using structural equation modeling (Partial Least Square).

Findings – Results from structural models indicate that the use of nonfinancial measures has a positive impact on job relevant information, role clarity, and procedural fairness. In addition, the findings suggest that the use of nonfinancial measures is indirectly related to procedural fairness through job relevant information and role clarity. Specifically, the results indicate that the use of nonfinancial measures affects job relevant information. Job relevant information then influences role clarity. Role clarity, in turn, is positively related to procedural fairness.

Value of paper – This study provides systematic empirical evidence on how the use of nonfinancial measures for performance measurement and evaluation can affect employee perceptions of procedural fairness. It helps organizations to understand how this process occurs and provides them with some assurance that the adoption of nonfinancial measures may be beneficial particularly through the higher information content of such measures and the consequential enhancement of employee role clarity and perception of fairness. By studying the effects of nonfinancial measures, in isolation, this study also helps to demonstrate to organizations that some of the beneficial effects on employee outcomes found by prior management accounting studies involving a combination of financial and nonfinancial measures may be achievable from the use of nonfinancial measures alone without the need of financial measures. This may assist organizations in designing simpler performance measurement systems.

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.

Prior research identified conflicts in implementing performance measurement systems that include both financial and non-financial measures. Attempts to incorporate non-financial measures, for example, balanced scorecards (BSCs), have shown short-term success, only to be replaced with systems that rely on financial measures. We develop a theoretical model to explore evaluators’ choice and use of the most important performance measurement criterion among financial and non-financial measures.

Our model links participants’ prior evaluation experiences with their attitudes about relative accounting qualities and with their choice of the most important performance measure. This choice subsequently affects their evaluation judgments of managers who perform differentially on financial versus non-financial measures.

Experimental testing of our structural equation model indicates that it meets the accepted goodness of fit criteria. We conclude that experience has an influence on choice of performance measures and on decision heuristics in making such evaluations. We suggest that an “experience gap” must be considered when deciding which performance metrics to emphasize in scorecards or similar performance reports. We analyzed four accounting qualities, importance, relevance, reliability, and comparability and found that importance, relevance, and reliability have strong effects on how managers prioritize and use accounting measures.

We conducted our study in a controlled, experimental setting, including participants with diverse experiences. We provide direct evidence of participants’ experience and attitudes about the relative accounting qualities of financial and non-financial measures which we link to their choice of the most important performance measure. We link this choice to their performance evaluations.

Models of value creation that have been proposed for supporting value-based management are described and analyzed, including the Balanced Scorecard, the Baldrige Quality Award Criteria, the Deming Management Method, the Service-Profit Chain, and the Skandia Intellectual Capital Model. These models are compared, their potential for guiding the identification of value drivers and performance measures for value-based management is assessed, and management issues that must be addressed if such models are to contribute to long-run value creation are explored. These issues include causally linking value drivers to each other and to financial outcomes, the extent to which the models take a dynamic, or whole-system, view of value creation, and whether multiple value drivers should be explicitly weighted and combined to form a “value index.” Finally, the substantial body of research evidence linking intangible value drivers to financial outcomes is reviewed, and some directions for further research are offered.

This chapter provides an overview of the Department of Defense (DoD) laboratory structure to help equipment designers, modelers, and manufacturers determine where research, testing programs, or relevant findings can be found. The chapter includes a discussion of the performance measures and metrics typically used in DoD laboratories and concludes by considering the current state-of-the-art as well as the state-of-the-possible for human performance measurement.

Presently, knowledge about the design of multiple perspectives performance measurement and management systems (PMMS), comprising financial and non-financial measures, in Australian business organisations, is limited. The empirical findings of a questionnaire-based study provide evidence to describe PMMS implemented in a sample of the Australian listed organisations, including information on levels of PMMS use, PMMS types, perspectives and measures.