اجرای کارت امتیازی متوازن در یونان : تجربه یک شرکت نرم افزاری
|کد مقاله||سال انتشار||مقاله انگلیسی||ترجمه فارسی||تعداد کلمات|
|324||2004||16 صفحه PDF||سفارش دهید||محاسبه نشده|
Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)
Journal : Long Range Planning, Volume 37, Issue 4, August 2004, Pages 351–366
The Balanced Scorecard (BSC) is a relatively new approach to strategic management and performance measurement and control, which has generated substantial interest in the academic and industrial communities. This paper presents the experience from the implementation of a specific BSC model at a large software development company in Greece. The study illustrates and evaluates the main obstacles and shortcomings, as well as the critical success factors that characterise such BSC projects, while offering managerial insights and guidelines for similar implementations.
The shortcomings of traditional management control and performance measurement motivated the development of the Balanced Scorecard (BSC), a management system incorporating all quantitative and abstract measures of true importance to an enterprise.1 The two key elements of the BSC are: (a) Clustering of similar types of measures into groups (perspectives); (b) Limiting the measures and linking their values to improve clarity, allow for transparent communication throughout the organisation, and effectively manage change. The BSC is developed along the financial, customer, internal business process and learning and growth perspectives, which define the status and potential of any company, and balance short and long-term objectives, desired outcomes (lag indicators) and their performance drivers (lead indicators), and hard objective measures and softer, subjective ones. Through monitoring metrics and maintaining equilibrium between all perspectives, management can control the strategy implementation process, not just to realise short-term financial outcomes but also to develop long-term competitive capabilities. In this paper we develop a specific BSC model, and present the experiences from its implementation aided by a university project team at a large software development company in Greece. In the last few years, Greek economic performance has been characterised by strong growth of productivity and remarkable progress towards macroeconomic convergence. This was driven by the entry in the Economic Monetary Union (EMU), the €25 bn that was made available under the Third Community Support Framework, falling interest rates, the extensive construction works for the 2004 Olympic Games and the privatisation of many public enterprises. On the other hand, the new environment also resulted in increased competitive pressures, low employment-to-population ratio and high structural unemployment. Thus we can conclude that Greece is an economy in transition, setting an example for a number of candidate EMU economies (e.g. eastern European countries), and also for less developed Balkan countries where more than 10,000 Greek businesses are planning to expand.2 However, due to this volatile and transitional environment, Greek companies have fallen behind with respect to innovative performance management approaches. Even though the BSC was introduced in 1992 and many articles report implementations in the early 1990s, the BSC was not implemented in any Greek company until 2000. Moreover, the BSC implementation described in this paper is to our knowledge the second BSC implementation in Greece and one of the few implementations that have been successful and within time and budget restraints. The software industry is also a very demanding and challenging sector, characterised by vigorous competition, extensive dependence on intellectual capital and the need for continuous training in new technologies. Furthermore, many software companies are dealing with significant drops in revenue, and have been forced to reduce labour and cut research and development investments. Thus, current researches on the future of the sector conclude that revenue growth can only be achieved by winning market share from competitors.3 The approach used in this paper is based on the traditional Kaplan–Norton model, takes into account the peculiarities of the Greek business environment and of the software industry, and places emphasis on the human resource involvement in the deployment of the model. The results of the implementation include the strategy maps and the key performance indicators (KPI), which are properly established and thoroughly evaluated. Via the discussion of the actual implementation, we illustrate the effect that the dynamic environment and the increased concerns about intellectual capital have on business strategy and the performance metrics inherent in the BSC model. The remainder of the paper is organised as follows: we introduce the company where the BSC was deployed and reason the need for change. The next section presents the methodological approach for implementing the BSC and describes the actual BSC deployment phases. After that we analyse the performance indicators used. Then we discuss the results of the particular implementation and detail managerial implications, outlining the benefits, shortcomings and areas of concern for similar implementations. Finally, we present the concluding remarks.
نتیجه گیری انگلیسی
This paper presented an actual application of the Kaplan and Norton BSC model at a large software development company in Greece, aided by a university project team. The BSC implementation evolved along seven sequential stages, typical in reengineering and IT projects, and focused on the effect that the dynamic environment and the increased concerns about intellectual capital have on the deployment process and on the performance metrics inherent in the BSC model. The results of the implementation included the strategy maps and the KPI, which were properly established and thoroughly evaluated. Based on the particular implementation, the main obstacles and shortcomings, as well as the critical success factors that characterise such BSC projects were illustrated and evaluated, and managerial insights and guidelines for similar implementations were put forth. The vast majority of BSCs are employed by companies operating in the US, Germany and other highly developed countries.19 To our knowledge, this work is the first to illustrate an implementation of the BSC in a country such as Greece where the economy is in transition, and it is also the first one involving the software development industry. The results of this study (KPIs strategy maps, etc.) could serve as guidelines for similar BSC projects, bearing in mind the uniqueness of each company and the thrive for global BSC effectiveness. The literature describes extensively the concepts of the BSC and offers insights into the benefits a company can reap from this performance management system. Other research and documented implementations, while agreeing about the usefulness of the BSC, underline some of its shortcomings or even question the overall BSC concept and oppose its use as a true performance management system.20 Having implemented the BSC at a company facing fierce competition and vast internal instability, and after observing both incremental performance improvements and intangible benefits, our views coincide with those of Mooraj et al. who established that the BSC is a necessary “good” for companies. This is especially so when used as a framework and a guideline for successful strategy communication and implementation, and as a system for understanding what really creates value in the company, rather than when it is used as a pure performance measurement system.21 Nevertheless, like most other management tools, the BSC needs to be extensively used in order to realise its full value as a strategic communication and management tool. Moreover, even though the particular case study and most other documented cases seem to agree that such an implementation will, in many aspects, be beneficial for a company, one must not overlook the fact that its effectiveness and benefit is dependent on the sequence and content of the design process used to deploy it, as well as on many other predictable and unpredictable internal or external factors that have not yet been fully rationalised and documented.