Juan José Alfaro Sáiz

Quantitative relationships between key performance indicators for supporting decision-making processes

Performance measurement systems (PMS) are tools widely used by enterprises for managing and making strategy-based decisions. A PMS defines a group of strategic objectives and associated performance indicators (KPIs) that provide information as to whether the upstream objectives are being reached or not, but with no further information about the causes. Up to now, if an objective is not being reached managers do not have further information regarding the causes; in terms of accurate information they are limited to the associated KPI. However, regarding the decisions to be made: What would they be based on? How and where to dig to find cause-effect relationships? And, even more difficult: How to make it objective? This study presents a unique proposal able to objectively - not based neither on experience nor subjective judgments - identify and quantify relationships between performance elements defined within a PMS, offering additional information to managers to make cross-enterprise decisions. Finally, the paper presents the main results obtained from applying the proposal to a real world enterprise and future research lines.

Performance measurement system for enterprise networks

Purpose – The purpose of this research paper is to present a performance measurement system for enterprise networks (PMS‐EN) developed within the context of a European projects context.Design/methodology/approach – This research follows a constructivist approach, based on the following activities: recompilation, analysis and study of scientific knowledge, acquisition of main postulates and construction of initial framework.Findings – This paper describes a performance measurement system called PMS‐EN that can be used for managing performance in the enterprise networks context. After analysing different frameworks relating to such a thematic, and once their main weaknesses were identified, it was decided to develop a PMS that will overcome these difficulties and, at the same time, provide enterprises operating within these environments, with a simple, efficient, robust and useful framework.Research limitations/implications – This PMS has been built upon the framework called PMS IE‐GIP, but thought could b...

A Performance Measurement System for Virtual and Extended Enterprises

Nowadays, enterprises seek to improve their operations and results by collaborating within networks of enterprises. Then, it is necessary to have available a method for monitoring and controlling how both Virtual Enterprises (VE) and Extended Enterprises (EE) are performing. For doing so, an efficient and effective performance measurement system (PMS) should be applied. An extensive literature review was conducted to find out existing feasible PMSs that really covered this field properly. As a result, it was found out that there was not a framework that fully accomplished these tasks, being then developed the one called Performance Measurement System for Extended and Virtual Enterprises (PMS-EVE). The PMS-EVE framework is built on the concepts of trust and equity to be present within the relationships among the different components of the VE/EE.

Performance measurement for e-business enterprises

E-business involves a fundamental change in business because it changes business foundations. Thus, companies that are trying to develop e-business capacities need to evaluate whether their current systems for managing enterprises are adequate when new business models appear. This paper considers weaknesses noted by different authors regarding the current performance measurement models and reviews some recent models to discover their suitability in e-business Models. A new system able to facilitate the definition of performance indicators for e-business companies is defined. The Model takes into account high level concepts (customers, strategies, stakeholders, etc) and operational concepts (information, resources, functions and roles) developing an integrated model. The Model is supported by IE-GIP (Enterprise Integration - Business Processes Integrated Management - acronyms in Spanish) methodology and CIMOSA concepts.