The Need for Artificial Intellingence (AI) in Tourism Management
The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the m...
Ausführliche Beschreibung
Autor*in: |
Gheorghe Popovici [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2023 |
---|
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: Robotica & Management - Editura Eftimie Murgu, 2016, 28(2023), 1, Seite 68-72 |
---|---|
Übergeordnetes Werk: |
volume:28 ; year:2023 ; number:1 ; pages:68-72 |
Links: |
---|
Katalog-ID: |
DOAJ100143938 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ100143938 | ||
003 | DE-627 | ||
005 | 20240414070039.0 | ||
007 | cr uuu---uuuuu | ||
008 | 240414s2023 xx |||||o 00| ||eng c | ||
035 | |a (DE-627)DOAJ100143938 | ||
035 | |a (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a T1-995 | |
050 | 0 | |a T55.4-60.8 | |
050 | 0 | |a T58.6-58.62 | |
100 | 0 | |a Gheorghe Popovici |e verfasserin |4 aut | |
245 | 1 | 4 | |a The Need for Artificial Intellingence (AI) in Tourism Management |
264 | 1 | |c 2023 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. | ||
650 | 4 | |a artificial intelligence | |
650 | 4 | |a chat gpt application | |
650 | 4 | |a aide evaluation model | |
650 | 4 | |a tourist experiences | |
653 | 0 | |a Technology (General) | |
653 | 0 | |a Industrial engineering. Management engineering | |
653 | 0 | |a Management information systems | |
773 | 0 | 8 | |i In |t Robotica & Management |d Editura Eftimie Murgu, 2016 |g 28(2023), 1, Seite 68-72 |w (DE-627)886127521 |w (DE-600)2893597-4 |x 23599855 |7 nnns |
773 | 1 | 8 | |g volume:28 |g year:2023 |g number:1 |g pages:68-72 |
856 | 4 | 0 | |u https://doi.org/10.24193/rm.2023.1.9 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/1453-2069 |y Journal toc |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2359-9855 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
912 | |a GBV_ILN_11 | ||
912 | |a GBV_ILN_20 | ||
912 | |a GBV_ILN_22 | ||
912 | |a GBV_ILN_23 | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_31 | ||
912 | |a GBV_ILN_39 | ||
912 | |a GBV_ILN_40 | ||
912 | |a GBV_ILN_60 | ||
912 | |a GBV_ILN_62 | ||
912 | |a GBV_ILN_63 | ||
912 | |a GBV_ILN_65 | ||
912 | |a GBV_ILN_69 | ||
912 | |a GBV_ILN_70 | ||
912 | |a GBV_ILN_73 | ||
912 | |a GBV_ILN_95 | ||
912 | |a GBV_ILN_105 | ||
912 | |a GBV_ILN_110 | ||
912 | |a GBV_ILN_151 | ||
912 | |a GBV_ILN_161 | ||
912 | |a GBV_ILN_170 | ||
912 | |a GBV_ILN_213 | ||
912 | |a GBV_ILN_230 | ||
912 | |a GBV_ILN_285 | ||
912 | |a GBV_ILN_293 | ||
912 | |a GBV_ILN_370 | ||
912 | |a GBV_ILN_602 | ||
912 | |a GBV_ILN_2014 | ||
912 | |a GBV_ILN_2055 | ||
912 | |a GBV_ILN_4012 | ||
912 | |a GBV_ILN_4037 | ||
912 | |a GBV_ILN_4112 | ||
912 | |a GBV_ILN_4125 | ||
912 | |a GBV_ILN_4126 | ||
912 | |a GBV_ILN_4249 | ||
912 | |a GBV_ILN_4305 | ||
912 | |a GBV_ILN_4306 | ||
912 | |a GBV_ILN_4307 | ||
912 | |a GBV_ILN_4313 | ||
912 | |a GBV_ILN_4322 | ||
912 | |a GBV_ILN_4323 | ||
912 | |a GBV_ILN_4324 | ||
912 | |a GBV_ILN_4325 | ||
912 | |a GBV_ILN_4326 | ||
912 | |a GBV_ILN_4335 | ||
912 | |a GBV_ILN_4338 | ||
912 | |a GBV_ILN_4367 | ||
912 | |a GBV_ILN_4700 | ||
951 | |a AR | ||
952 | |d 28 |j 2023 |e 1 |h 68-72 |
author_variant |
g p gp |
---|---|
matchkey_str |
article:23599855:2023----::hnefrriiilnelnecait |
hierarchy_sort_str |
2023 |
callnumber-subject-code |
T |
publishDate |
2023 |
allfields |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c DE-627 ger DE-627 rakwb eng T1-995 T55.4-60.8 T58.6-58.62 Gheorghe Popovici verfasserin aut The Need for Artificial Intellingence (AI) in Tourism Management 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems In Robotica & Management Editura Eftimie Murgu, 2016 28(2023), 1, Seite 68-72 (DE-627)886127521 (DE-600)2893597-4 23599855 nnns volume:28 year:2023 number:1 pages:68-72 https://doi.org/10.24193/rm.2023.1.9 kostenfrei https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c kostenfrei https://doaj.org/toc/1453-2069 Journal toc kostenfrei https://doaj.org/toc/2359-9855 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 1 68-72 |
spelling |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c DE-627 ger DE-627 rakwb eng T1-995 T55.4-60.8 T58.6-58.62 Gheorghe Popovici verfasserin aut The Need for Artificial Intellingence (AI) in Tourism Management 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems In Robotica & Management Editura Eftimie Murgu, 2016 28(2023), 1, Seite 68-72 (DE-627)886127521 (DE-600)2893597-4 23599855 nnns volume:28 year:2023 number:1 pages:68-72 https://doi.org/10.24193/rm.2023.1.9 kostenfrei https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c kostenfrei https://doaj.org/toc/1453-2069 Journal toc kostenfrei https://doaj.org/toc/2359-9855 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 1 68-72 |
allfields_unstemmed |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c DE-627 ger DE-627 rakwb eng T1-995 T55.4-60.8 T58.6-58.62 Gheorghe Popovici verfasserin aut The Need for Artificial Intellingence (AI) in Tourism Management 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems In Robotica & Management Editura Eftimie Murgu, 2016 28(2023), 1, Seite 68-72 (DE-627)886127521 (DE-600)2893597-4 23599855 nnns volume:28 year:2023 number:1 pages:68-72 https://doi.org/10.24193/rm.2023.1.9 kostenfrei https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c kostenfrei https://doaj.org/toc/1453-2069 Journal toc kostenfrei https://doaj.org/toc/2359-9855 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 1 68-72 |
allfieldsGer |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c DE-627 ger DE-627 rakwb eng T1-995 T55.4-60.8 T58.6-58.62 Gheorghe Popovici verfasserin aut The Need for Artificial Intellingence (AI) in Tourism Management 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems In Robotica & Management Editura Eftimie Murgu, 2016 28(2023), 1, Seite 68-72 (DE-627)886127521 (DE-600)2893597-4 23599855 nnns volume:28 year:2023 number:1 pages:68-72 https://doi.org/10.24193/rm.2023.1.9 kostenfrei https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c kostenfrei https://doaj.org/toc/1453-2069 Journal toc kostenfrei https://doaj.org/toc/2359-9855 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 1 68-72 |
allfieldsSound |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c DE-627 ger DE-627 rakwb eng T1-995 T55.4-60.8 T58.6-58.62 Gheorghe Popovici verfasserin aut The Need for Artificial Intellingence (AI) in Tourism Management 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems In Robotica & Management Editura Eftimie Murgu, 2016 28(2023), 1, Seite 68-72 (DE-627)886127521 (DE-600)2893597-4 23599855 nnns volume:28 year:2023 number:1 pages:68-72 https://doi.org/10.24193/rm.2023.1.9 kostenfrei https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c kostenfrei https://doaj.org/toc/1453-2069 Journal toc kostenfrei https://doaj.org/toc/2359-9855 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 1 68-72 |
language |
English |
source |
In Robotica & Management 28(2023), 1, Seite 68-72 volume:28 year:2023 number:1 pages:68-72 |
sourceStr |
In Robotica & Management 28(2023), 1, Seite 68-72 volume:28 year:2023 number:1 pages:68-72 |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
artificial intelligence chat gpt application aide evaluation model tourist experiences Technology (General) Industrial engineering. Management engineering Management information systems |
isfreeaccess_bool |
true |
container_title |
Robotica & Management |
authorswithroles_txt_mv |
Gheorghe Popovici @@aut@@ |
publishDateDaySort_date |
2023-01-01T00:00:00Z |
hierarchy_top_id |
886127521 |
id |
DOAJ100143938 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ100143938</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414070039.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ100143938</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T1-995</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T55.4-60.8</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T58.6-58.62</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Gheorghe Popovici</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Need for Artificial Intellingence (AI) in Tourism Management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">chat gpt application</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">aide evaluation model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">tourist experiences</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology (General)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Industrial engineering. Management engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Management information systems</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Robotica & Management</subfield><subfield code="d">Editura Eftimie Murgu, 2016</subfield><subfield code="g">28(2023), 1, Seite 68-72</subfield><subfield code="w">(DE-627)886127521</subfield><subfield code="w">(DE-600)2893597-4</subfield><subfield code="x">23599855</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:68-72</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.24193/rm.2023.1.9</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1453-2069</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2359-9855</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="h">68-72</subfield></datafield></record></collection>
|
callnumber-first |
T - Technology |
author |
Gheorghe Popovici |
spellingShingle |
Gheorghe Popovici misc T1-995 misc T55.4-60.8 misc T58.6-58.62 misc artificial intelligence misc chat gpt application misc aide evaluation model misc tourist experiences misc Technology (General) misc Industrial engineering. Management engineering misc Management information systems The Need for Artificial Intellingence (AI) in Tourism Management |
authorStr |
Gheorghe Popovici |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)886127521 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
T1-995 |
illustrated |
Not Illustrated |
issn |
23599855 |
topic_title |
T1-995 T55.4-60.8 T58.6-58.62 The Need for Artificial Intellingence (AI) in Tourism Management artificial intelligence chat gpt application aide evaluation model tourist experiences |
topic |
misc T1-995 misc T55.4-60.8 misc T58.6-58.62 misc artificial intelligence misc chat gpt application misc aide evaluation model misc tourist experiences misc Technology (General) misc Industrial engineering. Management engineering misc Management information systems |
topic_unstemmed |
misc T1-995 misc T55.4-60.8 misc T58.6-58.62 misc artificial intelligence misc chat gpt application misc aide evaluation model misc tourist experiences misc Technology (General) misc Industrial engineering. Management engineering misc Management information systems |
topic_browse |
misc T1-995 misc T55.4-60.8 misc T58.6-58.62 misc artificial intelligence misc chat gpt application misc aide evaluation model misc tourist experiences misc Technology (General) misc Industrial engineering. Management engineering misc Management information systems |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
Robotica & Management |
hierarchy_parent_id |
886127521 |
hierarchy_top_title |
Robotica & Management |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)886127521 (DE-600)2893597-4 |
title |
The Need for Artificial Intellingence (AI) in Tourism Management |
ctrlnum |
(DE-627)DOAJ100143938 (DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c |
title_full |
The Need for Artificial Intellingence (AI) in Tourism Management |
author_sort |
Gheorghe Popovici |
journal |
Robotica & Management |
journalStr |
Robotica & Management |
callnumber-first-code |
T |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
publishDateSort |
2023 |
contenttype_str_mv |
txt |
container_start_page |
68 |
author_browse |
Gheorghe Popovici |
container_volume |
28 |
class |
T1-995 T55.4-60.8 T58.6-58.62 |
format_se |
Elektronische Aufsätze |
author-letter |
Gheorghe Popovici |
title_sort |
need for artificial intellingence (ai) in tourism management |
callnumber |
T1-995 |
title_auth |
The Need for Artificial Intellingence (AI) in Tourism Management |
abstract |
The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. |
abstractGer |
The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. |
abstract_unstemmed |
The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 |
container_issue |
1 |
title_short |
The Need for Artificial Intellingence (AI) in Tourism Management |
url |
https://doi.org/10.24193/rm.2023.1.9 https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c https://doaj.org/toc/1453-2069 https://doaj.org/toc/2359-9855 |
remote_bool |
true |
ppnlink |
886127521 |
callnumber-subject |
T - General Technology |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
callnumber-a |
T1-995 |
up_date |
2024-07-04T01:43:51.220Z |
_version_ |
1803610940999991296 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ100143938</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240414070039.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240414s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ100143938</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ12d7a1d00cb442d8be02923295d6e14c</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T1-995</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T55.4-60.8</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">T58.6-58.62</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Gheorghe Popovici</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The Need for Artificial Intellingence (AI) in Tourism Management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The paper presents a model for evaluating the influence of Artificial Intelligence (AI) on the tourist experience. The proposed AIDE model performs AI evaluation in all travel stages, from pre-travel, during travel and post-travel. The results were obtained through the practical application of the model by using the Chat GPT application in the tourist-tourist destination interaction. The four evaluation components are: attract attention (A) and generate interest (I), stimulates the desire (D) to travel and creates emotion (E) through the experience of visitors.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">chat gpt application</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">aide evaluation model</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">tourist experiences</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Technology (General)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Industrial engineering. Management engineering</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Management information systems</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Robotica & Management</subfield><subfield code="d">Editura Eftimie Murgu, 2016</subfield><subfield code="g">28(2023), 1, Seite 68-72</subfield><subfield code="w">(DE-627)886127521</subfield><subfield code="w">(DE-600)2893597-4</subfield><subfield code="x">23599855</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:68-72</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.24193/rm.2023.1.9</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/12d7a1d00cb442d8be02923295d6e14c</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1453-2069</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2359-9855</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2023</subfield><subfield code="e">1</subfield><subfield code="h">68-72</subfield></datafield></record></collection>
|
score |
7.4021635 |