The present paper regards some possible approaches for measurement and evaluation of the risk in the “Request for Information” (RFI) and “Request for Proposal” (RFP) processes in the supply chain of Bulgarian mobile ntework operators. These approaches include measurement and calculations of the risk based on the use of risk calculation equation and questionnaire surveys and follow-up score cards. The risk calculation equation proposed in the paper assumes that each risk event or risk action “m” can be regarded as a function of the likelihood of occurrence, the consequences, and the imminence in regard to the time horizon for the occurrence of the very same risk event or risk action “m”. Apart from these components, the risk equation employed also considers the space in which the risk occurs and develops, as well as the extent of the actions taken to prevent and mitigate risk at a certain organizational level. The data collected from the questionnaire surveys and score cards are being processed and turned into a specific set of numeric coefficients that represent the contribution and value of the separate risk components. Methods for defining the thresholds for acceptance of the levels of the risks are also suggested. The paper also discusses several more specific problems in the application of risk measurement and evaluation of the RFI and RFP processes in the supply chain of Bulgarian mobile network operators, such as the use of risk evaluation for the point of time when the forecasts of the major indicators of the RFI and RFP processes suggest a major future decline.

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.

The present paper regards the opportunities of forecasting of some key indicators 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 forecasting is based on the use of the Holt-Winters method for exponential smoothing in the presence of additive and multiplicative seasonality and is made or indicators: “number of contracts”, “number of contracts with savings” and “number of the issued purchase orders”. The lowest “Stationary R square”, “R square” and MAPE (Mean Absolute Percentage of Error) values are used as measurement of accuracy and for selection of the best fit models that are applied. It is also important to point out that the measurement is being done for the so-called “bottle necks” or “narrow places” in the RFI and RFP processes. The purpose of this bottle-neck forecasting is to provide timely point for “Go/Not Go” decisions point for these very same process and thus to result in an improved risk management in the form of risk aversion and risk minimization.