SCORE CARDS FOR EVALUATION OF RFI AND RFP PROCESSES WITHIN ONE OF THE BULGARIAN TELECOMMUNICATION OPERATORS
Avgustin Milanov
Abstract
The present paper regards some the score cards as a possible tool for measurement and evaluation of the risk in the “Request for Information” (RFI) and “Request for Proposal” (RFP) processes in the supply chain at the Bulgarian mobile telecommunication operators. The presented hereby score cards use measurement and calculations of the risk based on the risk calculation equation in which the assumption is that each risk event or risk action “m” can be regarded as function of the likelihood of occurrence, the consequences and the imminence in regards to the time horizon for the occurrence of the very same risk event or risk action “m”. Further to these components, the risk equation in use also takes into account the space in which the risk occurs and itself, as well as the size of the actions for prevention and overcoming of the risks that can appear at a certain organizational level. The data collected for the score cards is being provided by an online survey through the staff dealing with the RFI and RFP processes within the regarded in particular Bulgarian telecommunication operator. The final information from both the survey and the score cards is being processed and turned into a specific set of numeric coefficients that represent the contribution and the value of the separate risk components. Methods for defining the thresholds for acceptance of the levels of the risks are also suggested.
Keywords:
score cards, supply chain management, risk management, risk evaluation, RFI and RFP process, telecommunication operators
JEL Codes: L93, O18, F47
References:
Brinkley, R. & Stone, D. (1996). International Space Station Program Directive – Program Risk Management Emphasis System”, ISS-PD-011, NASA, Johnson Space Center, Houston, Texas, USA.
Brooks, W. M. (1994). Project Risk Management (a presentation given at Johnson Space Center, May 9-11, 1994), Johnson Space Center, and Huston, Texas, USA.
Brown, R. G. (1959). Statistical Forecasting for Inventory Control. New York: McGraw-Hill.
Charette, R. N. (1989). Software Engineering Risk Analysis and Management, New York, USA: Intertext Publications, McGraw-Hill Book Company.
Chatfield, C. &Yar, M. (1988). Holt-Winters forecasting: Some practical issues. The Statistician, 37, pp. 129-140.
DeLurgio, S. A. (1998). Forecasting Principles and Applications. Pennsylvania State University: Irwin/McGraw-Hill.
Dimitrov, D. & Hadzhiev, E. (2003). Analysis of Place of Work and Labour Process Risk in Transport. Scientific Journal “Mechanics, Transport, Communication”, Issue: 1/2003, Article No. 0007, Retrieved January 21, 2019 from http://www.mtc-aj.com
Dimitrov, P. (2003). Risk Management in Tourism Innovations. Sofia, Bulgaria: Heron Press.
Dimitrov, P. (2006). Tourism Innovations. Blagoevgrad, Bulgaria: “Neofit Rilski” University Press.
Dimitrov, P. (2009). Measuring occupational health and safety risks in tourism companies. EgeAkademikBakışDergisi, Turkey.
Hamilton, J .D. (1994). Time Series Analysis. Princeton, NJ: Princeton University Press.
Hayan, J. A. (1996). F/A-18 “Risk management plan”, Report MDC 960074, McDonnel Douglas Aerospace, St. Luis, USA
Holt, C. C. (1957). Forecasting trends and seasonals by exponentially weighted averages, O.N.R. Memorandum 52/1957, Carnegie Institute of Technology.
Hyndman, R. J., Koehler, A.B., Ord, J.K. & Snyder, R.D. (2008). Forecasting with Exponential Smoothing – The State Space Approach. Berlin: Springer.
The Economist (1996). A Game of Risk – The Economist Survey, Corporate Risk Management, 10th February, 1996;
Full text: PDF (English)
To cite this article: MILANOV, A., (2020). Score cards for evaluation of RFI and RFP processes within one of the Bulgarian telecommunication operators. Entrepreneurship, 8 (2), 206-220, DOI: 10.37708/ep.swu.v8i2.17
