Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 10

Table VII: Normalization of the AHP Decision Matrix Strategic Alignment Governance Methods IT People Culture Decisionmaker 1 0,097 0,081 0,118 0,106 0,115 0,067 Decisionmaker 2 0,052 0,227 0,037 0,061 0,062 0,161 Decisionmaker 3 0,139 0,108 0,111 0,024 0,118 0,109 Decisionmaker 4 0,026 0,129 0,079 0,088 0,180 0,038 Decisionmaker 5 0,117 0,099 0,095 0,136 0,052 0,116 Decisionmaker 6 0,098 0,119 0,027 0,153 0,054 0,199 Decisionmaker 7 0,040 0,025 0,121 0,118 0,208 0,073 Decisionmaker 8 0,059 0,048 0,203 0,149 0,061 0,092 Decisionmaker 9 0,251 0,076 0,092 0,059 0,052 0,094 Decisionmaker 10 0,122 0,088 0,117 0,105 0,097 0,050 Then, entropy was calculated using equations (5), (6), (7) and (8). Table VIII presentstheresults. Table VIII: Capacity Weight Strategic Alignment Governance Methods IT People Culture 1,186 1,213 1,222 1,234 1,213 1,226 -0,186 -0,213 -0,222 -0,234 -0,213 -0,226 (weight) 0,144 0,165 0,171 0,181 0,164 0,174 According to the decision makers, the most important capacities for assessing maturity in process management in the sectors that perform their functions (DIPAT) are, respectively: information technology, culture, methods, governance, people and strategic alignment. From the weights of capacities, the weights of the respective factors were assigned with a simple arithmetic mean, as shown in Table IX Table IX: Capacity Weights and Factors Capabilities Andfactors Weights StrategicAlignment 0,144 Factors1,2,3 e 4 0,036 Governance 0,165 Fator 5,6,7 e 8 0,041 Methods 0,171 Factors9,10,11,12 e 13 0,034 IT 0,181 Factors14,15,16 e 17 0,045 People 0,164 Factors18,19,20,21 e 22 0,033 Culture 0,174 Factors23,24,25,26 e 27 0,035 b) Application of the Maturity Model First, the model's qualitative variables (factors) were converted to linguistic variables, based on Table III. The linguistic variables used in the model are described in Table X. Table X: Linguistic Variables of the Proposed BPMMM Linguistic Variables Code FUZZY Number Veryrare VR 0 0 1 2 Rare R 1 2 2 3 Mediumrare MR 2 3 4 5 Medium M 4 5 5 6 Frequentmedium FM 5 6 7 8 Frequent F 7 8 8 9 Veryfrequent VF 8 9 10 10 Subsequently, the proposed model was applied in the Reference DIPAT , for a public official who performs his/her function in the property sector, through e-mail; and at Real DIPAT A ,to five civil servants who perform their functions in the property sector, via email. All participants answered the model. Innovative Multicriteria Approach to Business Process Management Maturity in the Public Sector Global Journal of Management and Business Research ( A ) XXIII Issue X Version I Year 2023 61 © 2023 Global Journals