A dynamic model of budget competition allocation on craft industry: evidence from Indonesia
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DOIhttp://dx.doi.org/10.21511/ppm.17(4).2019.34
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Article InfoVolume 17 2019, Issue #4, pp. 416-429
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This research aims to create a sustainable dynamic model concept towards the craft industry, which competes with each other in order to get the government budget allocation. The object of this research is superior industry (IU) from regional work unit. The regional work unit allocates its fund’s proportion of wood craft industry (IKA) by 51 percent and leather craft industry (IKU) by 49 percent. With almost equal portion, it turns out that the development result of IU has unequal proportion, which is 34 percent for IKA and 66 percent for IKU. This inequality indicates that there is a budgeting allocation, which is not based on performance. System dynamic simulation approach (SD) is conducted to predict the development of performance of both observation objects. In the phase of SD model development, Balanced Scoreboard (BSC) framework is used as a frame of development. The approach of ARCH-type model Success to Successful (StoS) is used as a concept of problem-solving. Several scenarios are formed in this research and needed as symbiosis redesign policy towards IKA product to increase the absorption of IKU product. Practical implications on sustainability of IKA and IKU are discussed in this research. The problem-solving can be applicable and replicable in Indonesia’s craft industry.
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JEL Classification (Paper profile tab)E30, E32, E37
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References17
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Tables7
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Figures10
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- Figure 1. CLD combination of existing and improvement for IKA
- Figure 2. Simulation graph of scenario 1.1
- Figure 3. Simulation graph of IKU scenario 1.2
- Figure 4. Simulation graphic of IKA and IKU in scenario 1.3
- Figure 5. Simulation result from scenario 3.1
- Figure 6. Realization impact on SVLK allocation to IKA income
- Figure 7. Realization impact on COM allocation to IKU income
- Figure 8. Framework S to S symbiosis effect
- Figure 9. Simulation of symbiosis model of IKA to revenue
- Figure 10. Simulation of symbiosis model of IKU to revenue
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- Table 1. Proportion of labor absorption and IKA raw material
- Table 2. Proportion of labor absorption and IKU raw material
- Table 3. Combination of scenario 2
- Table 4. Total of IKA and IKU revenue from scenario 2
- Table 5. Combination scenario 3.1 of sub-budget program of IKA
- Table 6. Combination of scenario 3.2 with sub-budget program IKU
- Table 7. Total IKU revenue on scenario 3.2 based on proportion for 16 years
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- Baye, M. R. (2010). Managerial Economics and Business Strategy (7th ed.). New York: McGrawHill.
- Bianchi, C. (2012). Enhancing performance management and sustainable organizational growth through system-dynamics modelling. In S. N. Grösser, & R. Zeier (Eds.). Systemic management for intelligent organizations (pp. 143-161). Springer Berlin Heidelberg.
- Cooperative Trading Industry & MSME Agency. (2011). Government Actions Report. Yogjakarta, Indonesia.
- Cooperative Trading Industry & MSME Agency. (2014). Business Plan Structure Guidance. Yogjakarta, Indonesia.
- Cruz, J. A. (2010). Developing a Sound Operations Strategy’s Balanced Scorecard Using System Dynamics: A Case Study. Semantic Scholar.
- Dimotikalis, I. (2009). A Multivariate Logistic Model for Competing Technological Products in a Market. In Proceedings of the 2nd International Conference: Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (pp. 95-103).
- Government of Indonesia. (2007). Government of Indonesia Act Number 25/2007: Capital Investment. Government of Indonesia Act Archives: Jakarta, Indonesia.
- Government of Indonesia. (2015). Government of Indonesia Regulation No. 14/2015: Master Plan of National Industries Development Year 2015-2035. Government of Indonesia Regulation Archives: Jakarta, Indonesia.
- Haroon, M. I., & Wahba, K. (2002). A Generic Tool Based on Systems Dynamics Approach to Assess SME Business Stability and Help Designing Business Tactics and Action Plans Within Transient. Non–Stationary Conditions. In International System Dynamics Conference Proceedings, System Dynamics Society.
- Hudson, M., Smart, A., & Bourne, M. (2001). Theory and practice in SME performance measurement systems. International journal of operations & production management, 21(8), 1096-1115.
- Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard-measures that drive performance. Harvard Business Review, 71-79.
- Khemani, R. S., & Shapiro, D. M. (1993). Glossary of Industrial Organization Economics and Competition Law. Paris, France: OECD.
- Ministry of Home Affairs. (2011). Ministry of Home Affairs of Indonesia Regulation Number 20/2011: Guideline of Research and Development in Ministry of Home Affairs and Local Government. Government of Indonesia Regulation Archives: Jakarta, Indonesia,
- Srijariya, W., Riewpaiboon, A., & Chaikledkaew, U. (2008). System dynamic modeling: an alternative method for budgeting. Value in Health, 11(1), 115-123.
- Sterman, J. D. (2008). Business Dynamics: System Thinking and Modeling for a Complex World (2nd ed.). Irwin McGraw-Hill, USA.
- Thun, J. H., Größler, A., & Milling, P. M. (2000). The diffusion of goods considering network externalities: a system dynamics-based approach. In 18th International Conference of the System Dynamics Society (pp. 6-10).
- Young, S. H., Tu, C. K., & Li, S. J. (2004). Exploring some dynamically aligned principles of developing a balanced scorecard. In Proceedings of 2004 international system dynamics conference.