| Annexe 3 : Caractéristiques
sociodémographiques des participants à l'entretien
| N° | OPERATEURS | SEXE | TOTAL |  
| Masculin | Féminin | Absolue | Relative |  
| 1 | Airtel Money | 10 | 6 | 16 | 40% |  
| 2 | Orange Money | 9 | 5 | 14 | 35% |  
| 3 | M-Pesa | 6 | 4 | 10 | 25% |  
| TOTAL | 25 | 15 | 40 | 100% |  
| 62,5% | 35,5% | 
Annexe 4 : Analyse factorielleIndice KMO et test de Bartlett V Qualité de représentation 
|   | Initial | Extraction |  
| RAP1 | 1,000 | ,812 |  
| RAP3 | 1,000 | ,763 |  
| RAP2 | 1,000 | ,696 |  
| CS4 | 1,000 | ,782 |  
| CS2 | 1,000 | ,722 |  
| CS3 | 1,000 | ,623 |  
| EMP3 | 1,000 | ,654 |  
| EMP2 | 1,000 | ,547 |  
| SER5 | 1,000 | ,607 |  
| SER2 | 1,000 | ,618 |  
| FI4 | 1,000 | ,646 |  
| SER3 | 1,000 | ,688 |  
| AS5 | 1,000 | ,445 |  
| FI1 | 1,000 | ,628 |  
| CU2 | 1,000 | ,691 |  
| CU1 | 1,000 | ,619 |  
| CU3 | 1,000 | ,821 |  
| SER1 | 1,000 | ,705 |  
| FI2 | 1,000 | ,565 |  
| SEC1 | 1,000 | ,858 |  
| SE | 1,000 | ,807 |  
| AS1 | 1,000 | ,723 |  
| AS3 | 1,000 | ,683 | 
Méthode d'extraction : Analyse en composantes
principales. vi Variance totale expliquée 
| Composante | Valeurs propres initiales | Extraction Sommes descarrés des facteurs retenus
 | Somme des carrés des facteurs retenus pour la rotation |  
| Total | % de lavariance
 | % cumulés | Total | % de lavariance
 | % cumulés | Total | % de lavariance
 | % cumulés |  
| 1 | 6,711 | 29,179 | 29,179 | 6,711 | 29,179 | 29,179 | 2,530 | 10,999 | 10,999 |  
| 2 | 1,936 | 8,417 | 37,596 | 1,936 | 8,417 | 37,596 | 2,291 | 9,961 | 20,960 |  
| 3 | 1,465 | 6,371 | 43,967 | 1,465 | 6,371 | 43,967 | 2,185 | 9,501 | 30,461 |  
| 4 | 1,408 | 6,123 | 50,090 | 1,408 | 6,123 | 50,090 | 2,024 | 8,798 | 39,259 |  
| 5 | 1,211 | 5,264 | 55,354 | 1,211 | 5,264 | 55,354 | 1,743 | 7,579 | 46,838 |  
| 6 | 1,103 | 4,797 | 60,151 | 1,103 | 4,797 | 60,151 | 1,685 | 7,325 | 54,163 |  
| 7 | ,956 | 4,157 | 64,308 | ,956 | 4,157 | 64,308 | 1,651 | 7,178 | 61,342 |  
| 8 | ,913 | 3,969 | 68,277 | ,913 | 3,969 | 68,277 | 1,595 | 6,935 | 68,277 |  
| 9 | ,869 | 3,780 | 72,056 |   |   |   |   |   |   |  
| 10 | ,757 | 3,292 | 75,348 |   |   |   |   |   |   |  
| 11 | ,641 | 2,787 | 78,135 |   |   |   |   |   |   |  
| 12 | ,615 | 2,675 | 80,809 |   |   |   |   |   |   |  
| 13 | ,597 | 2,597 | 83,407 |   |   |   |   |   |   |  
| 14 | ,547 | 2,380 | 85,787 |   |   |   |   |   |   |  
| 15 | ,524 | 2,277 | 88,064 |   |   |   |   |   |   |  
| 16 | ,496 | 2,158 | 90,221 |   |   |   |   |   |   |  
| 17 | ,437 | 1,902 | 92,124 |   |   |   |   |   |   |  
| 18 | ,387 | 1,684 | 93,808 |   |   |   |   |   |   |  
| 19 | ,359 | 1,561 | 95,368 |   |   |   |   |   |   |  
| 20 | ,355 | 1,543 | 96,911 |   |   |   |   |   |   |  
| 21 | ,267 | 1,163 | 98,074 |   |   |   |   |   |   |  
| 22 | ,255 | 1,108 | 99,182 |   |   |   |   |   |   |  
| 23 | ,188 | ,818 | 100,000 |   |   |   |   |   |   | 
Méthode d'extraction : Analyse en composantes
principales. vii Matrice des composantes après
rotationa 
|   | Composante |  
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |  
| RAP1 | ,850 |   |   |   |   |   |   |   |  
| RAP3 | ,767 |   |   |   |   |   |   |   |  
| RAP2 | ,756 |   |   |   |   |   |   |   |  
| CS4 |   | ,810 |   |   |   |   |   |   |  
| CS2 |   | ,789 |   |   |   |   |   |   |  
| CS3 |   | ,658 |   |   |   |   |   |   |  
| EMP3 |   |   | ,707 |   |   |   |   |   |  
| EMP2 |   |   | ,617 |   |   |   |   |   |  
| SER5 |   |   | ,614 |   |   |   |   |   |  
| SER2 |   |   | ,564 |   |   |   |   |   |  
| FI4 |   |   |   | ,629 |   |   |   |   |  
| SER3 |   |   |   | ,620 |   |   |   |   |  
| AS5 |   |   |   | ,589 |   |   |   |   |  
| FI1 |   |   |   | ,581 |   |   |   |   |  
| CU2 |   |   |   |   | ,732 |   |   |   |  
| CU1 |   |   |   |   | ,626 |   |   |   |  
| CU3 |   |   |   |   | ,585 |   |   |   |  
| SER1 |   |   |   |   |   | ,796 |   |   |  
| FI2 |   |   |   |   |   | ,593 |   |   |  
| SEC1 |   |   |   |   |   |   | ,896 |   |  
| SE |   |   |   |   |   |   | ,829 |   |  
| AS1 |   |   |   |   |   |   |   | ,763 |  
| AS3 |   |   |   |   |   |   |   | ,701 | 
Méthode d'extraction : Analyse en composantes principales.
Méthode de rotation : Varimax avec normalisation de Kaiser. a. La
rotation a convergé en 11 itérations. VIII Matrice des coefficients des coordonnées des
composantes 
|   | Composante |  
|   | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |  
| RAP1 | ,457 | -,089 | -,123 | ,015 | ,007 | -,094 | -,069 | ,006 |  
| RAP3 | ,378 | ,007 | ,014 | -,186 | -,013 | ,036 | ,006 | -,078 |  
| RAP2 | ,377 | ,030 | -,075 | ,006 | -,055 | -,037 | -,049 | -,075 |  
| CS4 | -,081 | ,412 | -,003 | ,014 | ,022 | -,119 | ,034 | -,062 |  
| CS2 | ,031 | ,446 | -,175 | -,002 | -,201 | ,033 | -,053 | ,118 |  
| CS3 | -,021 | ,322 | ,040 | -,149 | -,085 | ,157 | ,007 | -,025 |  
| EMP3 | -,059 | ,004 | ,492 | -,002 | -,107 | ,038 | ,017 | -,283 |  
| EMP2 | -,006 | -,044 | ,361 | -,017 | -,145 | -,034 | -,008 | ,034 |  
| SER5 | -,125 | -,012 | ,374 | -,168 | ,083 | -,078 | -,010 | ,120 |  
| SER2 | ,042 | -,158 | ,276 | -,111 | ,137 | -,023 | -,073 | ,103 |  
| FI4 | -,150 | ,142 | ,154 | ,366 | -,292 | ,005 | ,031 | -,083 |  
| SER3 | ,135 | -,077 | -,049 | ,328 | ,025 | -,064 | -,037 | -,051 |  
| AS5 | ,017 | -,086 | -,187 | ,373 | ,037 | -,046 | -,036 | ,118 |  
| FI1 | -,109 | -,062 | -,062 | ,328 | ,070 | ,252 | -,115 | -,044 |  
| CU2 | -,022 | -,022 | -,147 | ,003 | ,502 | -,020 | -,010 | ,030 |  
| CU1 | ,025 | -,152 | -,019 | -,166 | ,445 | ,223 | -,003 | -,050 |  
| CU3 | -,092 | ,112 | ,034 | ,298 | ,398 | -,333 | -,003 | -,274 |  
| SER1 | -,090 | ,081 | -,043 | ,012 | -,107 | ,560 | -,048 | -,085 |  
| FI2 | ,054 | -,105 | -,038 | -,069 | ,059 | ,367 | ,028 | ,049 |  
| SEC1 | -,108 | ,045 | ,089 | -,145 | ,002 | -,034 | ,618 | -,054 |  
| SE | ,008 | -,054 | -,136 | ,053 | -,024 | -,043 | ,528 | ,065 |  
| AS1 | -,081 | ,082 | -,174 | -,017 | -,091 | ,015 | ,059 | ,609 |  
| AS3 | -,047 | -,048 | ,060 | ,014 | -,090 | -,083 | -,053 | ,506 | 
Méthode d'extraction : Analyse en composantes principales.
Méthode de rotation : Varimax avec normalisation de Kaiser. Scores
composante. ix Matrice de covariance des composantes 
| Composante | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |  
| 1 | 1,000 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 |  
| 2 | ,000 | 1,000 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 |  
| 3 | ,000 | ,000 | 1,000 | ,000 | ,000 | ,000 | ,000 | ,000 |  
| 4 | ,000 | ,000 | ,000 | 1,000 | ,000 | ,000 | ,000 | ,000 |  
| 5 | ,000 | ,000 | ,000 | ,000 | 1,000 | ,000 | ,000 | ,000 |  
| 6 | ,000 | ,000 | ,000 | ,000 | ,000 | 1,000 | ,000 | ,000 |  
| 7 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 | 1,000 | ,000 |  
| 8 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 | ,000 | 1,000 | 
Méthode d'extraction : Analyse en composantes principales.
Méthode de rotation : Varimax avec normalisation de Kaiser. Scores
composante. Statistiques de fiabilité avant élimination
d'items 
 
| Alpha deCronbach
 | Alpha de Cronbach basé sur des éléments
normalisés | Nombre d'éléments |  
| ,914 | ,916 | 33 | 
Statistiques de fiabilité après
élimination d'items 
 
| Alpha deCronbach
 | Alpha de Cronbach basé sur des éléments
normalisés | Nombre d'éléments |  
| ,885 | ,886 | 23 | 
Statistiques de total des
éléments 
 
|   | Moyenne de l'échelle en cas de suppression d'un
élément | Variance de l'échelle en cas de suppression d'un
élément | Corrélationcomplète
des
 éléments
 corrigés
 | Carré de lacorrélation
 multiple
 | Alpha deCronbach en
 cas de
 suppression
de
 l'élément
 |  
| RAP1 | 78,68 | 156,996 | ,550 | ,638 | ,878 |  
| RAP3 | 78,72 | 156,078 | ,594 | ,637 | ,877 |  
| RAP2 | 78,72 | 156,785 | ,564 | ,500 | ,878 |  
| CS4 | 79,48 | 155,498 | ,501 | ,587 | ,880 |  
| CS2 | 79,33 | 158,858 | ,419 | ,435 | ,882 |  
| CS3 | 79,16 | 158,054 | ,502 | ,462 | ,880 |  
| EMP3 | 78,96 | 158,985 | ,500 | ,372 | ,880 |  
| EMP2 | 78,79 | 159,654 | ,506 | ,365 | ,880 |  
| SER5 | 79,05 | 158,860 | ,468 | ,352 | ,881 |  
| SER2 | 78,73 | 158,153 | ,558 | ,446 | ,878 |  
| X |  
| FI4 | 78,78 | 160,604 | ,451 | ,342 | ,881 |  
| SER3 | 78,61 | 155,912 | ,617 | ,589 | ,876 |  
| AS5 | 78,33 | 164,258 | ,338 | ,231 | ,884 |  
| FI1 | 78,56 | 162,619 | ,449 | ,389 | ,881 |  
| CU2 | 78,74 | 159,478 | ,491 | ,447 | ,880 |  
| CU1 | 78,42 | 161,935 | ,436 | ,317 | ,881 |  
| CU3 | 78,87 | 158,098 | ,466 | ,486 | ,881 |  
| SER1 | 78,74 | 163,753 | ,337 | ,301 | ,884 |  
| FI2 | 78,50 | 158,269 | ,500 | ,405 | ,880 |  
| SEC1 | 78,69 | 161,648 | ,342 | ,484 | ,884 |  
| SE | 78,50 | 162,879 | ,315 | ,515 | ,885 |  
| AS1 | 78,79 | 159,324 | ,483 | ,344 | ,880 |  
| AS3 | 78,81 | 160,555 | ,476 | ,391 | ,880 | 
Matrice de corrélation inter-items 
|   | FI | SER | AS | EM | SEC | RAP | CS | CU |  
| FI | 1,000 | ,603 | ,506 | ,555 | ,340 | ,393 | ,371 | ,381 |  
| SER | ,603 | 1,000 | ,647 | ,610 | ,202 | ,505 | ,520 | ,523 |  
| AS | ,506 | ,647 | 1,000 | ,547 | ,266 | ,452 | ,490 | ,495 |  
| EM | ,555 | ,610 | ,547 | 1,000 | ,276 | ,480 | ,297 | ,340 |  
| SEC | ,340 | ,202 | ,266 | ,276 | 1,000 | ,283 | ,113 | ,193 |  
| RAP | ,393 | ,505 | ,452 | ,480 | ,283 | 1,000 | ,419 | ,347 |  
| CS | ,371 | ,520 | ,490 | ,297 | ,113 | ,419 | 1,000 | ,543 |  
| CU | ,381 | ,523 | ,495 | ,340 | ,193 | ,347 | ,543 | 1,000 | 
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