<p>The main purpose of this study is to define important criteria to consider when selecting and implementing performance measures on a strategic, tactical and operational level. The thesis is built around the questions "What to measure" and "How to measure". Generally within the thesis the question of "what" concerns different frameworks and working procedures that can be used to determine what to measure, while the question of "how" concerns criteria to consider when implementing performance measures, such as how to design measure formulas and targets, how to communicate measures, etc.</p><p>The study has been conducted as a qualitative study, where the empirical data has been collected through interviews and by using information material from the case company. The purpose of the case study was to test the theoretical framework. The studied case company was Sandvik Process Systems, a product area within the Sandvik group. The case study was complemented by two minor comparative studies of companies also belonging to the Sandvik group. In total the study comprised interviews with 15 persons within different organizational levels.</p><p>Several different frameworks aiming to help organizations to answer the question of what to measure have been developed during the last decades. The frameworks differ more or less, but theorists appear to agree on several matters. My conclusions of the most important criteria to be taken into consideration when answering the question of what to measure is:</p><p>* Complement the outcome measures, i.e. the financial measures that show the results from past efforts, by pro-active performance drivers - the measures that drive the future performance</p><p>* Ensure linkage between performance measures and company vision and strategic objectives</p><p>* Involve the co-workers in the process of developing measures</p><p>* Use an overall comprehensive view and methodic approach</p><p>* Limit the amount of measures</p><p>* Retain the methodic approach – manage the performance measurement system</p><p>After answering the question of what to measure there are also a number of important criteria to consider when it comes to how to measure and implement measures into the organization:</p><p>* Define measure purposes</p><p>* Assign reasonable targets to the measures</p><p>* Consider the field of application when designing a performance measure</p><p>* Communicate the performance measures</p><p>* Specify the measures</p><p>Despite attempting to simplify a complicated reality the frameworks aiming to help organizations to select measures are all rather complex. Hence, to develop and implement a PMS (Performance Measurement System) by the book will imply an extensive project for any company. How time- and resource demanding the project will become will differ from one company to another. Thus, a general conclusion of this study is that a company must start out from its own conditions in order for the development and implementation not to become too complex a project, where the organization loses focus and fails to manage the project all the way through.</p><p>Companies must consider factors such as the size and complexity of the organization, how the business is controlled and managed as well as the structure and control of an already existing PMS. For large organizations, already possessing a rather unstructured PMS, the best approach could be to look upon the development as a constantly on-going activity in the spirit of continuous improvements, rather than a complex project running over a limited time. A vital success factor is also to communicate the intentions to the whole organization at an early stage. If the whole organization is aware of the intention and the purpose this will facilitate the process of developing and implementing a successful PMS.</p>
Identifer | oai:union.ndltd.org:UPSALLA/oai:DiVA.org:hig-662 |
Date | January 2008 |
Creators | Rolfsdotter Karlsson, Annika |
Publisher | University of Gävle, Department of Technology and Built Environment |
Source Sets | DiVA Archive at Upsalla University |
Language | English |
Detected Language | English |
Type | Student thesis, text |
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