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Performance management involves budgeting, performance evaluation, and incentive compensation. This study describes a model that encompasses these three elements of performance management. To illustrate the model, survey data were examined using path analysis. The empirical evidence supports the model, and suggests several intervening variables that mediate the direct and indirect effects of budgeting, performance evaluation, and incentives on gaming behaviors and individual performance.

In implementing strategies to achieve ambitious goals, managers use tools such as performance measurement systems (PMS) for their proven ability to motivate and drive employees’ behaviors. However, many strategies fail during implementation, partly because managers pay insufficient attention to PMS design, tending to devote too little attention to characteristics of the metrics they use to evaluate and provide feedback on their subordinates’ performance. This chapter discusses the management control literature on metrics, the psychology behind the behavioral effects of measurements, typical managerial errors in choosing performance metrics, and previous attempts to define characteristics of good measurements. It suggests that good measurements should exhibit a set of characteristics associated with a novel and easily remembered acronym, STORY, and tests this typology by analyzing empirical data gathered on 1,159 metrics from 293 survey respondents, including characteristics of the people measured (e.g., age, position, and functional department) and the organizations employing them (e.g., firm size, industry, scope, and type of organization).

This chapter integrates research that highlights and demonstrates the importance of the marketing mix and customer attitudinal metrics in influencing the customer’s path to purchase. A key objective of this chapter is the provision of an integrative conceptual framework that links marketing actions to customer mindset metrics along the consumer’s path to purchase and the identification of the mechanisms by which customer mindset metrics contribute to consumer purchase journey. Specifically, it delineates two routes for the effects to manifest on sales: the “mindset route” where marketing actions influence customer mindset metrics, which in turn influence brand performance, or the “transactions route” where marketing actions influence market performance directly without influencing the intermediate mindset metrics. A second objective is to identify empirical patterns on incorporating marketing mix and mindset metrics along the path to purchase by reviewing key papers in this domain. Finally, the chapter concludes with the formulation of a rich, forward-looking research agenda on the customer mindset metrics – path to purchase link.

Integrated management is the process of including environmental, social, and governance (ESG) performance in close coordination between business processes, functions, groups, organizations, and systems. In this context, decision-makers can better understand the dynamic systems in which they operate; define success based on sustainability-based performance frontier; guide decision making with strategic valuation of environmental and social guidelines; adhere to a timeline of actions that moves the enterprise toward a sustainable society; operationalize dynamic goals, for example, the UN Sustainable Development Goals (SDGs); and support processes for planning with decision analysis tools to monitor and guide change management. Information within this chapter will explore how sustainability in businesses, that is, integrated management, is already underway in leading multinational companies, and can be found within any business function, and in supply chains. The value that sustainability brings to an organization is important to understand as each day there is a growing amount of data to draw from. While 80% of the value of an enterprise is within intangibles, hundreds of ESG performance metrics are now available to researchers and practitioners to make the intangible tangible. With a look on how these ESG performance metrics and the social cost of carbon are used by practitioners and researchers, a number of research propositions call for improved financial decision analysis and a new performance frontier.

The aim of this chapter is to develop a performance measurement framework for understanding the relationships among drivers of customer profitability in internet companies.

We recognize an opportunity to improve management control systems for internet companies, where performance measurement systems currently focus on measuring web data, such as number of customers, cost of service, cost of acquisition (CoA), and churn rate. However these indicators, taken separately, do not provide useful information to make decisions.

To fill this gap we developed a framework, which we designate as the Lifetime Value Scorecard, to investigate the relationships between customer data and financial data, providing an early indication as to whether or not the marketing strategies being implemented are successful. We then offer an application of the Lifetime Value Scorecard to the mobile value-added services industry, where content and services are provided to consumer cell phones, mainly using wireless networks.