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To show how the key to successfully managing alliances is developing and implementing alliance metrics.

The case of “Acme Manufacturing” (a composite of several firms) is used to illustrate the theory and reasoning behind the creation and tracking of alliance metrics appropriate to the life cycle of the partnership. These ideas are then applied to the ongoing Avnet/HP alliance.

Understanding and applying unique metrics at each stage allows management to anticipate alliance challenges and increase flexibility and adaptability when faced with changing economic and market conditions. Across the life cycle stages the partners must learn to monitor two types of measurements – development metrics, commonly employed in the start‐up and high growth stages, and implementation metrics, engaged throughout the professional, mature, decline, and sustain stages of the life cycle.

This is a case study produced by a consultant specializing in alliance management. It has been peer reviewed but has not been subjected to independent audit.

Proactively managing alliances helps partners ensure value extraction, financial and non‐financial. Development metrics and implementation metrics can help alliance stakeholders understand and plan for the stages of the alliance life cycle while considering their knowledge transfer.

As the cases of Acme Manufacturing and Avnet/HP show, an understanding of alliance life cycles, cultures, and metrics can lead to successful planning, launching, and maintenance of a company's alliances.

Despite all the attempts developed so far to measure corporate social performance in the last decades, a standard metric for it is still missing. In this work, the author tries to understand why is this the case. To do so, the author has reviewed 69 relevant metrics developed in the literature since the 1970s until today, covering approaches based on social, reputational, and environmental ratings, as well as several others constructed ad hoc by reputated scholars. The author analyzes each of them through a double optics, checking if they meet the minimum requirements to be considered standard and truly social. The research reveals that the main factor that prevents such a standard is the lack of truly social orientation of the existing metrics.

This paper aims to propose a new method to derive custom dynamic cyber risk metrics based on the well-known Goal, Question, Metric (GQM) approach. A framework that complements it and makes it much easier to use has been proposed too. Both, the method and the framework, have been validated within two challenging application domains: continuous risk assessment within a smart farm and risk-based adaptive security to reconfigure a Web application firewall.

The authors have identified a problem and provided motivation. They have developed their theory and engineered a new method and a framework to complement it. They have demonstrated the proposed method and framework work, validating them in two real use cases.

The GQM method, often applied within the software quality field, is a good basis for proposing a method to define new tailored cyber risk metrics that meet the requirements of current application domains. A comprehensive framework that formalises possible goals and questions translated to potential measurements can greatly facilitate the use of this method.

The proposed method enables the application of the GQM approach to cyber risk measurement. The proposed framework allows new cyber risk metrics to be inferred by choosing between suggested goals and questions and measuring the relevant elements of probability and impact. The authors’ approach demonstrates to be generic and flexible enough to allow very different organisations with heterogeneous requirements to derive tailored metrics useful for their particular risk management processes.

Performance measurements or metrics are that which measure a company's performance and behavior, and are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficult to know whether or not the firm is meeting requirements or making desired improvements. During the course of this study with Lockheed Martin, the research team was tasked with determining the effectiveness of the site's existing performance metrics that are used to help an organization achieve and maintain success. Without the use of performance metrics, it is difficult to know whether or not the firm is meeting requirements or making desired improvements. The paper aims to discuss these issues.

Research indicates that there are five key elements that influence the success of a performance metric. A standardized method of determining whether or not a metric has the right mix of these elements was created in the form of a metrics scorecard.

The scorecard survey was successful in revealing good metric use, as well as problematic metrics. In the quality department, the Document Rejects metric has been reworked and is no longer within the executive's metric deck. It was also recommended to add root cause analysis, and to quantify and track the cost of non-conformance and the overall cost of quality. In total, the number of site wide metrics has decreased from 75 to 50 metrics. The 50 remaining metrics are undergoing a continuous improvement process in conjunction with the use of the metric scorecard tool developed in this research.

The metrics scorecard should be used site-wide for an assessment of all metrics. The focus of this paper is on the metrics within the quality department.

Putting a quick and efficient metrics assessment technique in place was critical. With the leadership and participation of Lockheed Martin, this goal was accomplished.

This paper presents the process of metrics evaluation and the issues that were encountered during the process, including insights that would not have been easily documented without this mechanism. Lockheed Martin Company has used results from this research. Other industries could also apply the methods proposed here.

This paper examines the socio-political affordances of metrics in research evaluation and the consequences of epistemic injustice in research practices and recorded knowledge.

First, the use of metrics is examined as a mechanism that promotes competition and social acceleration. Second, it is argued that the use of metrics in a competitive research culture reproduces systemic inequalities and leads to epistemic injustice. The conceptual analysis draws on works of Hartmut Rosa and Miranda Fricker, amongst others.

The use of metrics is largely driven by competition such as university rankings and league tables. Not only that metrics are not designed to enrich academic and research culture, they also suppress the visibility and credibility of works by minorities. As such, metrics perpetuate epistemic injustice in knowledge practices; at the same time, the reliability of metrics for bibliometric and scientometric studies is put into question.

As metrics leverage who can speak and who will be heard, epistemic injustice is reflected in recorded knowledge and what we consider to be information.

This paper contributes to the discussion of metrics beyond bibliometric studies and research evaluation. It argues that metrics-induced competition is antithetical to equality and diversity in research practices.

Performance measurement systems (PMSs) are at the heart of most organisations. The aim of this study is to examine the attitudes of top-level managers towards the incompleteness of PMSs.

This paper draws on an in-depth field study conducted in an energy and environmental services provider based in New Zealand. The data, which were obtained from 20 semi-structured interviews, were triangulated against on-site observations and company documents.

The findings suggest that whether the incompleteness of a PMS is considered problematic or non-problematic depends on the role that the PMS plays in implementing a firm’s strategy. The authors show that when the PMS is mainly used to trigger improvement activities on and around strategic objectives and managers perceive adequate improvement activities to exist, then they consider the incompleteness of the PMS in relation to these strategic objectives to be non-problematic.

This study contributes to the nascent literature on managerial attitudes towards the incompleteness of PMSs by identifying conditions under which the incompleteness is considered problematic or non-problematic. The authors also contribute to the literature on the association between design qualities of PMSs and firm performance by suggesting that poor design qualities of a PMS (such as incompleteness) may not always translate into poor firm performance.

The purpose of this paper is to examine the extent of the use of performance management metrics by UK theatre companies, the levels of importance attached to various types of measures, and possible determinants of managerial perceptions of the importance of each category.

A model was constructed which hypothesised that the types of metrics regarded as most important by theatre managements depended on organisational identity, financial situation, environmental volatility, production diversity and visitor orientation. This was tested via a survey of 195 UK theatres.

A theatre's financial situation greatly influenced the categories of metrics that its management deemed to be important, exerting both a direct effect and indirect impacts. An organisation's “artistic identity” also affected the dimensions of the operations that its management sought to measure.

The data were self‐reported; less than a majority of the sampling frame participated in the study; and managers in theatres that used few or no metrics may have been less likely to respond to the invitation to take part in the study. It was not possible within the confines of an already crowded questionnaire to explore the influences of various stakeholders on a theatre management's choice of metrics.

Environmental circumstances and managerial inclinations seemingly determined the metrics that were considered important, but the metrics involved were not necessarily those that should have been applied.

This is the first empirical study to determine the factors that cause theatre managements to prioritise the use of specific types of performance metrics and to explain variations in organisational behaviour in this regard.

Applications of comprehensive Quality Function Deployment (QFD) – or QFD in the broad sense – to strategic management have been known for some time, and its results have been discussed within the international community of QFD specialists. It is therefore tempting to investigate the contribution of combinatory metrics to strategy deployment. Combinatory metrics are constructed upon the capability of QFD to evaluate the deployment topics’ contribution to customers’ needs. They provide a practical means to explain business strategy by “local” metrics that are easily understood and applied by responsible people. Combinatory metrics also point to foundations of QFD that explain how to apply QFD for very complicated environments. This foundation provides techniques and means to work with various influencing factors and conflicting topics. This paper explains the theory as needed for strategy deployment and presents a sample case from a software company.

Restructuring a business process (BP) model may enhance the BP performance and improve its understandability. So-far proposed restructuring methods use either refactoring which focuses on structural aspects, social network discovery which uses semantic information to guide the affiliation process during its analysis, or social network rediscovery which uses structural information to identify clusters of actors according to their relationships. The purpose of this paper is to propose a hybrid method that exploits both the semantic and structural aspects of a BP model.

The proposed method first generates a social network from the BP model. Second, it applies hierarchical clustering to determine the performers’ partitions; this step uses the social context which specifies features related to performers, and two new distances that account for semantic and structural information. Finally, it applies a set of behavioral and organizational restructuring rules adapted from the graph optimization domain; each rule uses the identified performers’ partitions and the business context to reduce particular quality metrics.

The efficiency of the proposed method is illustrated through well-established complexity metrics. The illustration is made through the development of a tool that fully supports the proposed method and proposes a strategy for the application of the restructuring rules.

The proposed method has the merit of combining the semantic and structural aspects of a Business Process Modeling Notation model to identify restructuring operations whose ordered application reduces the complexity of the initial model.