Cultural Ranking of Countries Using the Analytic Hierarchy Process Methodology View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2019-11-07

AUTHORS

Jinling Li , Yuying Yang , Thomas L. Saaty , Haixiang Guo

ABSTRACT

Different countries have different cultures, but it is difficult to say which culture is best directly. This paper mainly established a hierarchy for the ranking of cultures to prioritize and quantify thinking about and comparing different cultures. It does not only pay attention to the different features of cultures but also focuses on manifestations of cultures. There are 9 criteria and 27 subcriteria in our ranking of cultures. To find some leading cultures in the world, we rank the cultures of different counties by using the Analytic Hierarchy Process (AHP). After we get the priorities of the subcriteria according to judgment matrix obtained by questionnaires, we create different intensity categories for each subcriterion. In the end, we obtain the top 5 countries: the United States, Denmark, Australia, Norway and Canada. The result may be significant for advocating the spread of the better cultures throughout the world. What do they have to offer that others need to emulate? That is what is considered in this paper. More... »

PAGES

949-963

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-030-32456-8_102

DOI

http://dx.doi.org/10.1007/978-3-030-32456-8_102

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1122365965


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/20", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Language, Communication and Culture", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2002", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cultural Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Wuhan University of Engineering Science, 430200, Wuhan, People\u2019s Republic of China", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "School of Economics and Management, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China", 
            "Wuhan University of Engineering Science, 430200, Wuhan, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Jinling", 
        "id": "sg:person.015462764363.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015462764363.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Economics and Management, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China", 
          "id": "http://www.grid.ac/institutes/grid.503241.1", 
          "name": [
            "School of Economics and Management, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Yuying", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Pittsburgh, 15260, Pittsburgh, PA, USA", 
          "id": "http://www.grid.ac/institutes/grid.21925.3d", 
          "name": [
            "University of Pittsburgh, 15260, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saaty", 
        "givenName": "Thomas L.", 
        "id": "sg:person.010070352303.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010070352303.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mineral Resource Strategy and Policy Research Center, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China", 
          "id": "http://www.grid.ac/institutes/grid.503241.1", 
          "name": [
            "School of Economics and Management, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China", 
            "Key Laboratory of Strategic Studies, Ministry of Land and Resources, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China", 
            "Mineral Resource Strategy and Policy Research Center, China University of Geosciences, 430074, Wuhan, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Haixiang", 
        "id": "sg:person.014566750255.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014566750255.50"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2019-11-07", 
    "datePublishedReg": "2019-11-07", 
    "description": "Different countries have different cultures, but it is difficult to say which culture is best directly. This paper mainly established a hierarchy for the ranking of cultures to prioritize and quantify thinking about and comparing different cultures. It does not only pay attention to the different features of cultures but also focuses on manifestations of cultures. There are 9 criteria and 27 subcriteria in our ranking of cultures. To find some leading cultures in the world, we rank the cultures of different counties by using the Analytic Hierarchy Process (AHP). After we get the priorities of the subcriteria according to judgment matrix obtained by questionnaires, we create different intensity categories for each subcriterion. In the end, we obtain the top 5 countries: the United States, Denmark, Australia, Norway and Canada. The result may be significant for advocating the spread of the better cultures throughout the world. What do they have to offer that others need to emulate? That is what is considered in this paper.", 
    "editor": [
      {
        "familyName": "Liu", 
        "givenName": "Yong", 
        "type": "Person"
      }, 
      {
        "familyName": "Wang", 
        "givenName": "Lipo", 
        "type": "Person"
      }, 
      {
        "familyName": "Zhao", 
        "givenName": "Liang", 
        "type": "Person"
      }, 
      {
        "familyName": "Yu", 
        "givenName": "Zhengtao", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-030-32456-8_102", 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-3-030-32455-1", 
        "978-3-030-32456-8"
      ], 
      "name": "Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery", 
      "type": "Book"
    }, 
    "keywords": [
      "different cultures", 
      "manifestations of culture", 
      "cultural ranking", 
      "good culture", 
      "culture", 
      "world", 
      "different countries", 
      "United States", 
      "countries", 
      "hierarchy", 
      "process methodology", 
      "attention", 
      "categories", 
      "Australia", 
      "different features", 
      "Canada", 
      "Denmark", 
      "Norway", 
      "paper", 
      "end", 
      "methodology", 
      "manifestations", 
      "priority", 
      "features", 
      "spread", 
      "process", 
      "different counties", 
      "ranking", 
      "questionnaire", 
      "state", 
      "County", 
      "results", 
      "criteria", 
      "judgment matrix", 
      "intensity categories", 
      "analytic hierarchy process", 
      "subcriteria", 
      "hierarchy process", 
      "matrix", 
      "analytic hierarchy process (AHP) methodology", 
      "different intensity categories", 
      "subcriterion"
    ], 
    "name": "Cultural Ranking of Countries Using the Analytic Hierarchy Process Methodology", 
    "pagination": "949-963", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1122365965"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-030-32456-8_102"
        ]
      }
    ], 
    "publisher": {
      "name": "Springer Nature", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-030-32456-8_102", 
      "https://app.dimensions.ai/details/publication/pub.1122365965"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2022-12-01T06:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/chapter/chapter_2.jsonl", 
    "type": "Chapter", 
    "url": "https://doi.org/10.1007/978-3-030-32456-8_102"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-32456-8_102'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-32456-8_102'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-32456-8_102'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-030-32456-8_102'


 

This table displays all metadata directly associated to this object as RDF triples.

146 TRIPLES      22 PREDICATES      66 URIs      59 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-030-32456-8_102 schema:about anzsrc-for:20
2 anzsrc-for:2002
3 schema:author N0c884279667c425d84d84756cbd320f7
4 schema:datePublished 2019-11-07
5 schema:datePublishedReg 2019-11-07
6 schema:description Different countries have different cultures, but it is difficult to say which culture is best directly. This paper mainly established a hierarchy for the ranking of cultures to prioritize and quantify thinking about and comparing different cultures. It does not only pay attention to the different features of cultures but also focuses on manifestations of cultures. There are 9 criteria and 27 subcriteria in our ranking of cultures. To find some leading cultures in the world, we rank the cultures of different counties by using the Analytic Hierarchy Process (AHP). After we get the priorities of the subcriteria according to judgment matrix obtained by questionnaires, we create different intensity categories for each subcriterion. In the end, we obtain the top 5 countries: the United States, Denmark, Australia, Norway and Canada. The result may be significant for advocating the spread of the better cultures throughout the world. What do they have to offer that others need to emulate? That is what is considered in this paper.
7 schema:editor N5b9f2867e4c4427fb2bf835bfc6b1d5b
8 schema:genre chapter
9 schema:isAccessibleForFree false
10 schema:isPartOf N104cb12401b04f1a885923b5f4826546
11 schema:keywords Australia
12 Canada
13 County
14 Denmark
15 Norway
16 United States
17 analytic hierarchy process
18 analytic hierarchy process (AHP) methodology
19 attention
20 categories
21 countries
22 criteria
23 cultural ranking
24 culture
25 different counties
26 different countries
27 different cultures
28 different features
29 different intensity categories
30 end
31 features
32 good culture
33 hierarchy
34 hierarchy process
35 intensity categories
36 judgment matrix
37 manifestations
38 manifestations of culture
39 matrix
40 methodology
41 paper
42 priority
43 process
44 process methodology
45 questionnaire
46 ranking
47 results
48 spread
49 state
50 subcriteria
51 subcriterion
52 world
53 schema:name Cultural Ranking of Countries Using the Analytic Hierarchy Process Methodology
54 schema:pagination 949-963
55 schema:productId Na8f225a9745c4b62be1014863eee9faf
56 Nff5a30a9216d47758a8ea5da5e52522a
57 schema:publisher N20553e3dcbc34a90a207bfbf0ae2ca52
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122365965
59 https://doi.org/10.1007/978-3-030-32456-8_102
60 schema:sdDatePublished 2022-12-01T06:48
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N02bb0e4283594be58ee5bbb509a7129f
63 schema:url https://doi.org/10.1007/978-3-030-32456-8_102
64 sgo:license sg:explorer/license/
65 sgo:sdDataset chapters
66 rdf:type schema:Chapter
67 N02bb0e4283594be58ee5bbb509a7129f schema:name Springer Nature - SN SciGraph project
68 rdf:type schema:Organization
69 N0c884279667c425d84d84756cbd320f7 rdf:first sg:person.015462764363.01
70 rdf:rest Ne990c395eb8c4c869e1ff99f1f2e8045
71 N104cb12401b04f1a885923b5f4826546 schema:isbn 978-3-030-32455-1
72 978-3-030-32456-8
73 schema:name Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
74 rdf:type schema:Book
75 N12011096c90a4ffd91228c114e1c73c1 rdf:first Nd670924f430149618aad5510d2f835a1
76 rdf:rest Nc2a8fbe01bfa481891613dfda0ec7ba6
77 N20553e3dcbc34a90a207bfbf0ae2ca52 schema:name Springer Nature
78 rdf:type schema:Organisation
79 N3ab80bf0773646689581d2991fef9abb schema:familyName Wang
80 schema:givenName Lipo
81 rdf:type schema:Person
82 N44a8b8cc2a474c5c9896fcc9b2a1c6b4 schema:familyName Yu
83 schema:givenName Zhengtao
84 rdf:type schema:Person
85 N57415ee0ae474409b1692dc391a160bd rdf:first sg:person.014566750255.50
86 rdf:rest rdf:nil
87 N5b9f2867e4c4427fb2bf835bfc6b1d5b rdf:first N9a0bc5c44a22492ab9467d785f499649
88 rdf:rest N98fbcca606b649c4bf27af2e5e41747c
89 N719b2bbe434a4451a925b3ddfc730d03 schema:affiliation grid-institutes:grid.503241.1
90 schema:familyName Yang
91 schema:givenName Yuying
92 rdf:type schema:Person
93 N910ececb4d5a4b45aab3c22ae409d2f5 rdf:first sg:person.010070352303.49
94 rdf:rest N57415ee0ae474409b1692dc391a160bd
95 N98fbcca606b649c4bf27af2e5e41747c rdf:first N3ab80bf0773646689581d2991fef9abb
96 rdf:rest N12011096c90a4ffd91228c114e1c73c1
97 N9a0bc5c44a22492ab9467d785f499649 schema:familyName Liu
98 schema:givenName Yong
99 rdf:type schema:Person
100 Na8f225a9745c4b62be1014863eee9faf schema:name doi
101 schema:value 10.1007/978-3-030-32456-8_102
102 rdf:type schema:PropertyValue
103 Nc2a8fbe01bfa481891613dfda0ec7ba6 rdf:first N44a8b8cc2a474c5c9896fcc9b2a1c6b4
104 rdf:rest rdf:nil
105 Nd670924f430149618aad5510d2f835a1 schema:familyName Zhao
106 schema:givenName Liang
107 rdf:type schema:Person
108 Ne990c395eb8c4c869e1ff99f1f2e8045 rdf:first N719b2bbe434a4451a925b3ddfc730d03
109 rdf:rest N910ececb4d5a4b45aab3c22ae409d2f5
110 Nff5a30a9216d47758a8ea5da5e52522a schema:name dimensions_id
111 schema:value pub.1122365965
112 rdf:type schema:PropertyValue
113 anzsrc-for:20 schema:inDefinedTermSet anzsrc-for:
114 schema:name Language, Communication and Culture
115 rdf:type schema:DefinedTerm
116 anzsrc-for:2002 schema:inDefinedTermSet anzsrc-for:
117 schema:name Cultural Studies
118 rdf:type schema:DefinedTerm
119 sg:person.010070352303.49 schema:affiliation grid-institutes:grid.21925.3d
120 schema:familyName Saaty
121 schema:givenName Thomas L.
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010070352303.49
123 rdf:type schema:Person
124 sg:person.014566750255.50 schema:affiliation grid-institutes:grid.503241.1
125 schema:familyName Guo
126 schema:givenName Haixiang
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014566750255.50
128 rdf:type schema:Person
129 sg:person.015462764363.01 schema:affiliation grid-institutes:None
130 schema:familyName Li
131 schema:givenName Jinling
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015462764363.01
133 rdf:type schema:Person
134 grid-institutes:None schema:alternateName Wuhan University of Engineering Science, 430200, Wuhan, People’s Republic of China
135 schema:name School of Economics and Management, China University of Geosciences, 430074, Wuhan, People’s Republic of China
136 Wuhan University of Engineering Science, 430200, Wuhan, People’s Republic of China
137 rdf:type schema:Organization
138 grid-institutes:grid.21925.3d schema:alternateName University of Pittsburgh, 15260, Pittsburgh, PA, USA
139 schema:name University of Pittsburgh, 15260, Pittsburgh, PA, USA
140 rdf:type schema:Organization
141 grid-institutes:grid.503241.1 schema:alternateName Mineral Resource Strategy and Policy Research Center, China University of Geosciences, 430074, Wuhan, People’s Republic of China
142 School of Economics and Management, China University of Geosciences, 430074, Wuhan, People’s Republic of China
143 schema:name Key Laboratory of Strategic Studies, Ministry of Land and Resources, China University of Geosciences, 430074, Wuhan, People’s Republic of China
144 Mineral Resource Strategy and Policy Research Center, China University of Geosciences, 430074, Wuhan, People’s Republic of China
145 School of Economics and Management, China University of Geosciences, 430074, Wuhan, People’s Republic of China
146 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...