Identifying and predicting the market for the "elderly" tourism with an approach to the expected values
The identification of tourism market segments helps to better develop travel packages and more efficient strategies. By identifying the expected values derived from the behavioral patterns and comparing them with the behavioral interests of the travel of elderly people, along with individual charact...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2018-12-01
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| Series: | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| Subjects: | |
| Online Access: | https://tms.atu.ac.ir/article_9642_1200b61cdc333695bd0e98f5e7bf6edd.pdf |
| _version_ | 1827399811468361728 |
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| author | shirin mahdavi Mostafa Emadzadeh azarnoush ansari |
| author_facet | shirin mahdavi Mostafa Emadzadeh azarnoush ansari |
| author_sort | shirin mahdavi |
| collection | DOAJ |
| description | The identification of tourism market segments helps to better develop travel packages and more efficient strategies. By identifying the expected values derived from the behavioral patterns and comparing them with the behavioral interests of the travel of elderly people, along with individual characteristics, the market for elderly tourists can be segmented and predicted. In terms of the purposes, this is an applied research and in terms of the data collection method, this is descriptive-survey. The qualitative approach and the Delphi method has been used to identify the expected values and, to predict market groups, a quantitative approach using neural networks has been used. This research has been conducted among 380 Esfahani and Tehrani elderly tourists using non-random and available sampling method. The results show that values are due to individual and personality traits, travel motives, travel experiences, travel style, and travel pleasure. The market for elderly tourists was identified and predicted based on the expected values, with the neural network technique in three conservative, prosperous and younger groups. |
| first_indexed | 2024-03-08T19:51:37Z |
| format | Article |
| id | doaj.art-c4a4c0939b73425487cabc5920fccabe |
| institution | Directory Open Access Journal |
| issn | 2322-3294 2476-597X |
| language | fas |
| last_indexed | 2024-03-08T19:51:37Z |
| publishDate | 2018-12-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | Muṭāli̒āt-i Mudīriyyat-i Gardishgarī |
| spelling | doaj.art-c4a4c0939b73425487cabc5920fccabe2023-12-24T07:41:43ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Gardishgarī2322-32942476-597X2018-12-011344397010.22054/tms.2018.96429642Identifying and predicting the market for the "elderly" tourism with an approach to the expected valuesshirin mahdavi0Mostafa Emadzadeh1azarnoush ansari2Graduated in Master of Tourism Management,Sheikh Bahaei UniversityProfessor, Sheikh Bahaei UniversityDepartment of Management University of Isfahan,The identification of tourism market segments helps to better develop travel packages and more efficient strategies. By identifying the expected values derived from the behavioral patterns and comparing them with the behavioral interests of the travel of elderly people, along with individual characteristics, the market for elderly tourists can be segmented and predicted. In terms of the purposes, this is an applied research and in terms of the data collection method, this is descriptive-survey. The qualitative approach and the Delphi method has been used to identify the expected values and, to predict market groups, a quantitative approach using neural networks has been used. This research has been conducted among 380 Esfahani and Tehrani elderly tourists using non-random and available sampling method. The results show that values are due to individual and personality traits, travel motives, travel experiences, travel style, and travel pleasure. The market for elderly tourists was identified and predicted based on the expected values, with the neural network technique in three conservative, prosperous and younger groups.https://tms.atu.ac.ir/article_9642_1200b61cdc333695bd0e98f5e7bf6edd.pdfelderly tourismneural networksmotivations for traveling؛ traveling experiencetraveling pleasure |
| spellingShingle | shirin mahdavi Mostafa Emadzadeh azarnoush ansari Identifying and predicting the market for the "elderly" tourism with an approach to the expected values Muṭāli̒āt-i Mudīriyyat-i Gardishgarī elderly tourism neural networks motivations for traveling؛ traveling experience traveling pleasure |
| title | Identifying and predicting the market for the "elderly" tourism with an approach to the expected values |
| title_full | Identifying and predicting the market for the "elderly" tourism with an approach to the expected values |
| title_fullStr | Identifying and predicting the market for the "elderly" tourism with an approach to the expected values |
| title_full_unstemmed | Identifying and predicting the market for the "elderly" tourism with an approach to the expected values |
| title_short | Identifying and predicting the market for the "elderly" tourism with an approach to the expected values |
| title_sort | identifying and predicting the market for the elderly tourism with an approach to the expected values |
| topic | elderly tourism neural networks motivations for traveling؛ traveling experience traveling pleasure |
| url | https://tms.atu.ac.ir/article_9642_1200b61cdc333695bd0e98f5e7bf6edd.pdf |
| work_keys_str_mv | AT shirinmahdavi identifyingandpredictingthemarketfortheelderlytourismwithanapproachtotheexpectedvalues AT mostafaemadzadeh identifyingandpredictingthemarketfortheelderlytourismwithanapproachtotheexpectedvalues AT azarnoushansari identifyingandpredictingthemarketfortheelderlytourismwithanapproachtotheexpectedvalues |