0187-893X
0187-893X
S0187-893X2023000200017
10.22201/fq.18708404e.2023.2.83233
Mexico
Portugal
Mexico
00
00
2023
00
00
2023
34
2
17
25
[
My Intelligent Machine
2021
]
[
2022
2
829043
]
[
2019
20
11
11
2783
]
[
2022
3
1
1
100485
]
[
2022
6
6
6
428-42
]
[
2000
28
1
1
235-42
]
[
2019
18
5
5
418-22
]
[
2022
4
6
6
506-7
]
[
2002
7
11
11
S83-8
]
[
2021
20
2
2
145-59
]
[
2018
23
6
6
1241-50
]
[
2020
24
10
10
2064-77
]
[
2020
12
1
1
56
]
[
2022
]
[
2020
23
9
9
101515
]
[
UNESCO
2021
]
[
Gartner glossary
]
[
2016
21
2
2
151
]
[
2020
21
20
20
2233-42
]
[
2016
35
1
1
3-14
]
[
2018
23
7
7
1373-84
]
[
2018
37
1-2
1-2
1700111
]
[
2021
]
[
2004
5
3
3
236-8
]
[
1964
86
8
8
1616-26
]
[
2020
2
10
10
573-84
]
[
2021
16
9
9
949-59
]
[
2021
14
1
1
86-93
]
[
2008
48
1
1
25-6
]
[
2021
596
7873
7873
583-9
]
[
2022
24
1
1
19
]
[
2014
20
21
21
3488-99
]
[
2000
16
8
8
747-8
]
[
2019
41
8
8
1414-26
]
[
2017
9
45
]
[
2021
61
1
1
26-35
]
[
2014
57
8
8
3186-204
]
[
2019
24
3
3
773-80
]
[
2015
11
2
2
259-71
]
[
2020
21
313
]
[
2020
11
1
1
10
]
[
2021
6
49
49
33293-9
]
[
2018
9
197
]
[
2022
25
1-17
]
[
2018
22
1
1
65-76
]
[
2019
]
[
2018
4
7
7
]
[
2022
100
1
1
136-53
]
[
2015
]
[
2013
6
1
1
41-7
]
[
2019
32-33
3-8
]
[
2020
56
16-22
]
[
2021
64
24
24
17744-52
]
[
2022
50
2
2
121-35
]
[
2022
13
6
6
1526-46
]
[
2021
14
4-15
]
[
2022
17
7
7
789-98
]
[
2018
17
2
2
97-113
]
[
2019
58
32
32
10792-803
]
[
2019
25
5
5
744-50
]
[
2020
63
16
16
8667-82
]
[
2022
]
[
2021
12
9
9
3339-49
]
[
2021
596
7873
7873
590-6
]
[
2022
4
3
3
189-91
]
[
2019
18
6
6
463-77
]
[
2020
]
[
2019
62
3
3
1116-24
]
[
2021
16
9
9
937-47
]
[
2022
3
5
5
100509
]
[
2020
323
9
9
844-53
]
[
2020
3619069
]
[
2019
37
9
9
1038-40
]