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| Title: | 企業績效管理對軟體產業有益嗎?以一軟體公司之績效管理為例
Does Corporate Performance Management Matter in a Software Company？ |
| Authors: | 陳偉弘
Chen, David Wei Hung |
| Contributors: | 尚孝純
Shang, Shari S. C.
陳偉弘
Chen, David Wei Hung |
| Keywords: | 企業績效管理
預算計畫
驅動因子基礎計畫
專案成本
軟體產業
Corporate Performance Management
Budget Planning
Driver-based Planning
Project Costing
Software Industry |
| Date: | 2013 |
| Issue Date: | 2014-07-29 16:05:14 (UTC+8) |
| Abstract: | 企業績效管理對軟體產業有益嗎?以一軟體公司之績效管理為例
Continuous innovation capability is seen as the engine to grow for knowledge-intensive industry, specifically for software companies. Along with evolvement of information technology, software industry expanded dramatically with blooming tide from personal computers, Internet, to the cloud era to date. Software industry enjoyed high growth over the past four decades, but it has begun to experience weak growth as profit margins continue to drop in recent years. Examining and reviewing the overall corporate performance management processes in order to figure out root causes are becoming equally important as innovation capability to the industry.
An effective performance management process which enables efficient budget planning in response to external challenges and provides timely visibility of operation is thus critical. Driver-based planning and project costing are cornerstones of the budget planning process that is introduced and automated through seamless integration of data spreading out in various business applications.
The process model has changed standard operation approach from free-to-organize to resource management. Extra overheads were developed in order to comply with it. Stakeholders had to embrace new concept and transform their behaviour to adapt.
Any control or performance management is usually viewed as a constraint to innovation and an impedance to grow, hence there seems to be a constant trade-off between compliance and innovation about adapting a new budget and planning processes. It becomes a dilemma for any corporation, especially for software companies, to commit a sizable portion of resources to innovation without properly determining a reasonable method to justify such investment.
This paper offers an understanding about the dilemma of striking the right balance between corporate controls and maximising innovation potential of one software company in order to shed some light on the matter through reflecting the deployment of Corporate Performance Management (CPM). The paper also aims to provide findings and summarize them to a practical reference for software companies in terms of effective corporate control and maximisation of innovation potential. |
| Reference: | Adler, Paul S, Goldoftas, Barbara, & Levine, I. David. (1999). Flexibility Versus Efficiency? A Case Study of Model Changeovers in the Toyota Production System. Organization Science, 43-68.
Adler, S. P., (1988). Managing flexible automation. California Management Review, 34-56.
Allen, M. J., (1970). A Survey into the R&D Evaluation and Control Procedures Currently Used in Industry. Industry Economy, 161-181.
Bagozzi, P. R., Davis, D. F., & Warshaw, R. P. (1992). Development and test of a theory of technological leaning and usage. Human Relations, 660-686.
Barrett, Richard. (2007). Planning and Budgeting for the Agile Enterprise - A driver-based budgeting toolkit. Oxford, UK: CIMA Publishing.
Bowen, E. David, & Lawler, Edward E. (1992). The empowerment of service workers: what, why, how, and when. Sloan Management Review, 31-40.
Boyett, H. Joseph, & Boyett, T. Jimmie. (2001). The Guru Guide to the Knowledge Economy (pp 46-47). John Wiley& Sons.
Brand, Stewart. (1999). The Clock of the Long Now: Time and Responsibility (pp 37). Basic Books.
Burns, Tom, & Stalker, Georage. (1961). The Management Innovation. London.
Bushe, R. Gervasc, & Shani, BA. (1991). Patallel Learning Structures: Increasing Innovation in Bureaucracies. Reading: Addision-Wesley.
Business Performance Management. (n.d.). Retrieved from Wikipedia: http://en.wikipedia.org/wiki/Corporate_Performance_Management
Clark, Kim. (1996). Competing through manufacturing and the new manufacturing paradigm: Is manufacturing strategy passe? Production and Operations Management, 42-58.
Collins, Kimberley. (2003). Profitability Analysis: Strategic Financial Service CPM Tool. Gartner Research, pp 1-5.
Davis, D. F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340.
Duncan, B. Robert. (1976). The ambidextrous organization: Designing dualstructures for innovation. The Management Organization Design, pp 167-188.
Frolick, N. Mark, & AriyachandraThilliniR. (2006). Business Performance Management: One Truth. Informantion Systems Management, pp 41-48.
Garvin, David, & Levesque, Lynne. (2005). Emerging Business Opportunities at IBM (A). Harvard Business Review, pp 13.
Garvin, David, & Levesque, Lynne. (2005). Emerging Business Opportunties at IBM (B). Hardvard Business Review, pp 3-5.
Global Business Services, IBM. (2011). Key of Implementing to Executing Strategies. IBM Global Services.
Global Business Services, IBM. (2011). Strategic Alignment and Performance Management from A Financial Perspective. Global Services, IBM.
Gregory, A. Marianne. (2004). Keys to Successful Performance Management: Getting Past The Excitement of Technology to Achieve Results. Business Intelligence Journal, pp 41-48.
Hackman, J. Richard, & Oldham, R. Greg. (1980). Work Redesign. Reading, MA: Addison-Wesley.
Hayes, Robert, & Gary, Pisano. (1996). Manufacturing strategy: At the intersection of two paradigm shifts. Production and Operations Management, pp 25-41.
Herriot, E. R., & Firestone, A. W. (1983). Multi-site qualitative policy research: optimising description and generalisability. Educational Researcher, pp 14-19.
Hostmann, Bill, & Strange, H. Kevin. (2002). Data Model Options that Support CPM Deployments. Gartner Research, pp 1-3.
IBM. (2003). Growth Platform Guardian.
IBM. (2013). IBM IPD and Project Management Sharing.
Iervolino, C. (2012, 10 31). Assess CPM Maturity to Rate Your Performance Management. Gartner, pp. 2-14.
Iervolino, Christopher, Van Decker, E. John, & Chandler, Neil. (2014). Strategic CPM as a Driver for Organizational Performance Management. Gartner, pp 3-10.
Kelly, Kevin. (1998). New Rules for the Wired Economy (pp 26).
Knott, Anne Marie. (1996). Do Manager Matter? Unpublished dissertation, UCLA.
Krishnaswamy, N. K., SivakumarIyer Appa, & Mathiraj, M. (2006). Management Research Methodology: Integration of Methods and Techniques.
Kurke, B. Lance. (1988). Does adaptation preclude adaptability? Strategy and Performance. Institutional Patterns and Organizations: Culture and Environment, pp 199-222.
Lewler, E. Edward, & Mohrman, A. Susan. (1985). Quality circles after the fad. Harvard Business Review, pp 64-71.
Liberatore, Matthew, & Titus, George. (1983). The Practice of Management Science in R & D Project Management. Management Science, pp 962.
McGill, E. Michael, SlocumJohn, & LeiDavid. (1992). Management Practices in learning organizations. Organization Dynamics, pp 5-17.
Mintzberg, Henry. (1979). The Structuring of Organizations. Englewood Cliffs: Prentice-Hall.
Nelson, Richard, & Winter, Sidney. (1982). An Evolutionary Theory of Economic Change. Cambridge, MA.
Porter, E. Michael. (1980). Competitive Strategy. New York.
Porter, E. Michael. (1998). Clusters and the New Economics of Competition. Harvard Business Review, pp 77-90.
Pridemore, Charles. (1983). Software Development Costs: Expense or Capitalize. Management Accounting, pp 33.
Rayner, Nigel, Buytendijk, Frank, & Geishecker, Lee. (2002). The Process That Drive CPM. Gartner Research, pp 1-5.
SkinnerWickham. (1985). Manufacturing: The Formidable Competitive Weapon. New York: John Wiley.
Software Industry. (2012). Wikipedia: http://en.wikipedia.org/wiki/Software_industry
Stewart T. (1986). Task fit, ease-of-use and computer facilities. Managing computer impact: An international study of management and organizations, pp 63-76.
Tornatzky, G. L., & Fleischer, M. (1990). The Processes of Technological Innovation. Lexington, Massachusetts: Lexington Books.
Tornatzky, G. L, & Klein, J.R. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, pp 28-45.
Trend Micro Inc. (2013). Trend Micro FY2012.4Q Results. http://www.trendmicro.com/cloud-content/us/pdfs/finance/2012q4_e__final.pdf
Trend Micro Inc, & Accenture. (2005). Change Management Plan. Taipei.
Trend Micro Inc., & Deloitte Touche Tohmatsu Ltd. (2011). FIAT Phase II Workshop. Taipei, Taiwan.
Ulaga, W., & Sharma A. (2001). Complex and strategic decision making in organisation: Implications for personal selling and sales management. Industrial Marketing Management, pp 427-440.
Van Decker, J. E. (2013, 7 30). Understanding the Costs Beyond Hardware and Software When Estimating Financial Management Projects. Gartner, p. 1.
Venkatesh, V., & Davis, D. F. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, pp 186-204.
White, Colin. (2005). The Next Generation of Business Intelligence: Operational BI. DM Review, pp 35-37.
Wikipedia. (2007). The general interaction between the main three groups. Wikipedia: http://en.wikipedia.org/wiki/File:SoftwareHouse-GroupsSequence.jpg |
| Description: | 碩士
國立政治大學
經營管理碩士學程(EMBA)
101932096
102 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0101932096 |
| Data Type: | thesis |
| Appears in Collections: | [經營管理碩士學程EMBA] 學位論文
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