BALANCED SCORECARD FRAMEWORK IN SOFTWARE PROJECT MONITORING



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JOURNAL OF ENGINEERING MANAGEMENT AND COMPETITIVENESS (JEMC) Vol. 1, No. 1/2, 2011, 51-56 BALANCED SCORECARD FRAMEWORK IN SOFTWARE PROJECT MONITORING Ljubica KAZI 1, Dragica RADOSAV 2, Milan NIKOLIĆ 2, Narendra CHOTALIYA 3 1 University of Novi Sad, Technical faculty Mihajlo Pupin in Zrenjanin, 23000 Zrenjanin, Đure Đakovića bb, Republic of Serbia. Corresponding author. E-mail: leremic@tfzr.uns.ac.rs 2 University of Novi Sad, Technical faculty Mihajlo Pupin in Zrenjanin, 23000 Zrenjanin, Đure Đakovića bb, Republic of Serbia. 3 3 H&H.B. Kotak Institute of Science College, Dr Yagnik Road, Near Jagnath Police Chowki, 360001 Rajkot, India Accepted 3 November, 2011 Balanced scorecard is performance measurement system in enterprises and non-profit organizations. Many scientists and pracitioners adapted balanced scorecard to specific applications. This paper presents overview of implementing balanced scorecard in IT project management. We propose framework for software project monitoring based ob balanced scorecard and PRINCE 2 methodology for project management. Keywords: balanced scorecard, software project management, PRINCE 2 methodology, project monitoring INTRODUCTION Business performance management (BPM) can be described as a series of business processes supported by technology designed to optimize both the development and the execution of business strategy (Krolick and Ariyachandra, 2006). BPM standards group (Business performance management standards group, 2004) defined a BPM framework: an organization define strategic goals, create plan for implementing them, measure and analyze effectiveness of strategy implementation, determine the gap between actual and targeted performance and take corrective actions to improve performance. Performance measurement is evaluating how well organizations are managed and the value they deliver for customers and other stakeholders" (Bocci, 2004). The significance of performance measurement is described in well-known sentences: "if you can't measure it, you can neither manage it not improve it" and "what gets measured, gets done" (Kaplan and Norton, 1992). Performance measures must be accprding to Performance measurement management framework (UK Department of Trade and Industry, n.d.): meaningful, unambiguous and widely understood; owned and managed by the teams within the organization; based on a high level of data integrity; such that data collection is embedded within the normal procedures; able to drive improvement; linked to critical goals and key drivers of the organization. There are four key steps in a performance measurement framework (UK Department of Trade and Industry, n.d.): the strategic objectives of the organization are converted into desired standards of performance, metrics are developed to compare the desired performance with the actual achieved standards, gaps are identified, improvement actions initiated. BALANCED SCORECARD "One of the best approaches to identifying the appropriate performance metrics (i.e. key performance indicators - KPI) is through the use of a methodology known as the Balanced Scorecard (BSC). The Balanced Scorecard approach provides executives with a comprehensive framework that translates a corporation s strategic objectives into a coherent set of performance measures. It provides a framework that not only provides performance measurements, but helps planners identify what should be done and measured. It enables executives to truly execute their strategies. The Balanced Scorecard (Balanced Scorecard Institute, n.d.) approach is consistent with the concepts of crossfunctional integration, customer supplier partnerships, continuous improvement and team ISSN 2217-8147 2012 University of Novi Sad, Technical faculty Mihajlo Pupin in Zrenjanin, Republic of Serbia Available online at http://www.tfzr.uns.ac.rs/jemc

52 Kazi et al. accountability.(management and Accounting Web, n.d.) Since "not all long term strategies are profitable strategies." (Management and Accounting Web, n.d.), Kaplan and Norton expanded the existing view of performance metrics, which were then primarily financial, into four perspectives: 1. financial, 2. internal business, 3. customer, and 4. innovation and learning (i.e. learning and growth)." (Krolick and Ariyachandra, 2006) The balanced scorecard suggests that we view the organization from four perspectives that effect each other in the process of implementing vision and strategy. Generally speaking, improving performance in the objectives found in the Learning & Growth perspective enables the organization to improve its Internal Process perspective Objectives, which in turn enables the organization to create desirable results in the Customer and Financial perspectives. (Balanced Scorecard Institute, n.d.) These four perspectives give a framework for developing metrics, collecting data and analyzing it relative to each of these perspectives (Balanced Scorecard Institute, n.d.): LEARNING AND GROWTH PERSPECTIVE includes employee continual learning, training, corporate cultural attitudes related to both individual and corporate self-improvement, ease of communication among workers as well as technological tools for knowledge management, (Balanced Scorecard Institute, n.d.). This perspective "involves goals and measurements related to continuous improvement in the company's ability to innovate, improve and learn." (Management and Accounting Web, n.d.) INTERNAL BUSINESS PROCESS PERSPECTIVE - metrics based on this perspective allow the managers to know how well their business is running, and whether its products and services conform to customer requirements." (About) This perspective "includes the business processes that have the greatest impact on customer satisfaction, such as those that affect cycle time, quality, employee skills and productivity. These measurements should be decomposed to the local levels to provide linkages to upper level measurements on the scorecard to insure that lower level employees have clear targets for actions and decisions that contribute to the company's overall mission." (Management and Accounting Web, n.d.) The CUSTOMER perspective importance of customer focus and customer satisfaction In developing metrics for satisfaction, customers should be analyzed in terms of kinds of customers and the kinds of processes for which we are providing a product or service to those customer groups. (Balanced Scorecard Institute, n.d.) Metrics include categories such as: lead time (i.e., time from order receipt to delivery) and quality (e.g., defect levels) of products and services, (Management and Accounting Web, n.d.). The FINANCIAL PERSPECTIVE - Metrics could include timely and accurate funding data, risk assessment and cost-benefit data, (Balanced Scorecard Institute, n.d.) cash flow, sales growth, market share, operating income and return on equity, operating expenses, asset turnover, (Management and Accounting Web, n.d.). Figure 1: Balanced scorecard perspectives (Balanced Scorecard Institute, n.d.) OPERATIVE IMPLEMENTATION OF BSC Operative usage of BSC is ilustrated in e- government application (Dobrović et al., 2008). Activities are grouped in four levels, associated with appropriate working roles: 1. Government: Development policy determining, approving vision, approving strategic goals. 2. Management: defining vision, defining strategic goals, identifying SWOT elements, SWOT elements ranking, defining strategies, identifying activities for strategy implementation, defining activity goals, defining relationships among goals, identifying metrics, determining relationships among measures, reviewing strategies, managing by BSC model 3. BSC model administrator: BSC model updating, metrics feeding, data source creating, preparing BSC model validation, model validating

JOURNAL OF ENGINEERING MANAGEMENT AND COMPETITIVENESS (JEMC) 53 4. Database administrator: database administration, extending functionality (adding new data resources) Dobrović et al. (2008) describe the process of BSC operative implementation starts with government who determine development policy. Management of a public sector organization then define vision and strategic goals (previously created by using SWOT analysis) and government approve them. To achieve these goals, management define relationships among goals, strategies and activities for strategy implementation, identify metrics for activity success measurement. This way, management create BSC model, while BSC model administrator's role is to continuously update BSC model according to changes of goals, strategies, activities and metrics and to link metrics with data that feed them. Database administrator's role is to do administration of a relational database or other data sources and to extend their functionality as needed by BSC model changes. Figure 2: BSC implementation phases (Virtanen, 2009) To accomplish complex tasks of data feeding and processing for analysis and visualization, many commercial software solutions are provided. Generally they can be categorized as stand-alone applications and integrated solutions. One of solutions is QPR software system (Virtanen, 2009) that enables integration of BSC software with data warehouses, databases and spreadsheets, such as MS Excel, for feeding BSC metrics. Additionally, in (Virtanen, 2009) is described that "common tools used to help structure the strategy work are: Strategy Mapping, PEST (Political, Economical, Societal, Technological) analysis, SWOT (Strengths- Weaknesses-Opportunities-Threats) analysis, Porter value chain analysis, Porter Five forces of competition analysis, BCG Matrix analysis". Finally, it is suggested that introducing BSC to an organization need to be guided as a "management system development project, rather than an IT project", and that this process of including of BSC to everyday management practice need to follow these phases: model synthesis, technical implementation, organizational implementation, technical integration, operation (Update, Analyze, Report, Refine) (Figure 2). BSC IN IT PROJECT MANAGEMENT Information Technology Aspects if BSC implementation include: 1. IT projects management: Alleman (2003) discuss that balanced scorecard and project management should be unified (especially for IT project focused organizations) in aim to link strategy and implementation. Brock et al. (2003) proposes model of balanced approach to IT project management. Asosheh et al. (2010) propose integration of balanced scorecard and data envelopment analysis (DEA) for information technology project evaluation in the process of selecting among project proposals. Control Objectives for Information and related Technology (CobiT) framework (IT governance institute, 2007) include linking business goals to IT goals, providing metrics (based on BSC) and maturity models to measure their achievement and ensure that the enterprise s IT supports the business objectives. 2. Software projects management: Specific methodologies, such as agile approach resulted in agile balanced scorecard (Hamilton-Whitaker, n.d.), which emphasizes teamwork, velocity, reliability and performance as key metrics categories. Software Engineering Institute describes the synergistic application of the balanced scorecard and goal-driven measurement methodologies (goal - question - (indicator) - measurement) to develop measures and associated indicators (Goethert and Fisher, 2003). BALANCED SCORECARD FRAMEWORK IN SOFTWARE PROJECT MONITORING In this section we present business process model (Figure 3) of project management activities and data stores according to PRINCE 2 project management methodology and document templates (UK

54 Kazi et al. Department for Business inovation and skills, n.d.). Based on this business process model, we present balanced scorecard framework that describe elements of software project monitoring and evaluation from both process and product perspective (Table 1). Figure 3: Business process model for software project management according to PRINCE2 (Kazi, 2011)

JOURNAL OF ENGINEERING MANAGEMENT AND COMPETITIVENESS (JEMC) 55 Scope Process Product Perspecti ve Quality of team members Project proposal Tasks Issues Communi cation Partial results Integrated product Table 1: BSC model for software project monitoring (Kazi, 2011) Goal Choose quality team members Team member behaviour positively assessed Project proposal according to requirements Achieavable results in project proposal Setting achievable tasks Tasks finished within time and quality Not excessive workload to team member Minimum issues Minimum communication Maximum clarification of tasks Maximum team cohesion - mutual help Partial results according to project proposal Partial results according to user requirements and expectations Has all modules integrated Has all functionality specified Has minimum bugs Measurement Team member rank (position at list) Assessment points at peer questionaire Number of change requests according to project proposal Percent of software functions implemented Number of issues per task Number of tasks implemented per day/week/month Number of tasks finished at specified time Number of tasks finished at specified quality Number of functionalities implemented per day Number of implemented use cases Number of software functions Number of tasks per team member Number of issues Number of issues per task Number of issues per team member Number of unsolved issues Number of messages Number of clarifying messages regarding tasks Number of issues solved by messages from team members Number of change requests for partial results Number of change requests for partial results Percent of modules integrated Percent of software functions realized comparing to required number of software functions Number of test cases executed Number of bugs resolved Data resource for measures Team members rank list Questionaire results Project proposal Change register, Issue register Daily log Task assignments Issues archive Communication archive Tasks evaluation Change register Configuration register Project proposal Testing register CONCLUSION Balanced scorecard is widely accepted as performance measurement system as well as strategic management system. Many scientists and practitioners applied BSC concept as performance measurement system in the field of IT. This paper present a comprehensive survey on state-of-art in the field of applying balanced scorecard in IT sector, specially in IT project management. This way it is possible to use BSC framework at other fields of IT, such as data modelling evaluation or specific software project management performance measurements. By developing new BSC frameworks, it is possible to enable creating new software that could be based on those frameworks. These software would be useful in systems such as large software producing companies. REFERENCES Alleman, G.B. (2003). Using Balanced Scorecard to Build a Project Focused IT Organization. Balanced Scorecard Conference proceedings. San Francisco, Oct 28-30 2003. Asosheh, A., Nalchigar, S., & Jamporazmey, M. (2010). Information technology project evaluation: An

56 Kazi et al. integrated data envelopment analysis and balanced scorecard approach. Expert Systems with Applications: An International Journal, 37(8), 5931-5938. Balanced Scorecard Institute. (n.d.). What is the Balanced Scorecard. Available at http://www.balancedscorecard.org/bscresources/ab outthebalancedscorecard/tabid/55/default.aspx [accessed 2 February 2011] Bocci, F. (2004). Defining performance measurement a comment. Perspectives on Performance Journal, 3(1/2), pp. 20-21. Brock, S., Hendricks, D., Linnell, S., & Smith, D. (2003). A balanced approach to IT project management. Proceedings of the 2003 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology (pp.2-10). South African Institute for Computer Scientists and Information Technologists. Business performance management standards group. (2004). Performance management industry leaders form BPM standards group. Available at http://www.bpmstandardsgroup.org/ [accessed 3 February 2011] Dobrović, Ž., Tomičić, M., & Vrček, N. (2008). Towards an effective e-government: implementation of a balanced scorecard in the public sector, Intellectual Economics Journal, 1(3), 7-17. Goethert, W., & Fisher, M. (2003). Deriving Enterprise- Based Measures Using the Balanced Scorecard and Goal-Driven Measurement Techniques, Technical Note. City: Software Engineering Institute, Carnegie Mellon University. Hamilton-Whitaker, T. (n.d.). Agile Balanced Scorecard Measuring the effectiveness of an Agile Software Development Team, Agile 101 blog. Available at http://agile101.net/2009/07/18/agile-balancedscorecard-measuring-the-effectiveness-of-an-agilesoftware-development-team/ [accessed 2 February 2011] IT governance instutite (2007). Excerpt Executive Summary Framework. IT governance Institute Kaplan, R.S., & Norton, D.P. (1992). The balanced scorecard - Measures that drive performance. Harvard Business Review, 1(2), 71-79. Kazi, LJ., & Radulovic, B. (2011). Information system based on Balanced Scorecard for student teamwork software project management. MIPRO conference proceedings (pp. 230-235). Opatia, Croatia. Krolick, M., & Ariyachandra T (2006). Business performance management: one truth. Information system management journal, 23(1). Management and Accounting Web. (n.d.). Summary by James R. Martin of Kaplan and Norton's "The Balanced scorecard - Measures that drive perfornace". Available at http://maaw.info/articlesummaries/artsumkaplanno rton92.htm [accessed 2 February 2011] UK Department for Business inovation and skills. (n.d.). Project management templates: PRINCE 2 templates. Available at http://www.berr.gov.uk/aboutus/corporate/projectcentr e/pm-templates/page12526.html [accessed 2 February 2011] UK Department of Trade and Industry. (n.d.). Performance measurement. Available at http://www.businessballs.com/dtiresources/performan ce_measurement_management.pdf [accessed 2 February 2011] Virtanen, T. (2009). Guidelines for implementing Balanced Scorecard. QPR software white paper.