Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm
Nowadays, chain stores are experiencing a severe competitive environment. In such anenvironment, a growing number of customers are equipped by high volumes of informationand are more risk-taking. As they tend to switch their store based on the higher value thatthey might receive elsewhere, as custom...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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University of Isfahan
2013-01-01
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| Series: | تحقیقات بازار یابی نوین |
| Subjects: | |
| Online Access: | http://uijs.ui.ac.ir/nmrj/browse.php?a_id=380&slc_lang=en&sid=1&ftxt=1 |
| _version_ | 1797717096752218112 |
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| author | Behrooz Jahandideh Alireza Gol Mohammadi Mostafa Safdari Ranjbar |
| author_facet | Behrooz Jahandideh Alireza Gol Mohammadi Mostafa Safdari Ranjbar |
| author_sort | Behrooz Jahandideh |
| collection | DOAJ |
| description | Nowadays, chain stores are experiencing a severe competitive environment. In such anenvironment, a growing number of customers are equipped by high volumes of informationand are more risk-taking. As they tend to switch their store based on the higher value thatthey might receive elsewhere, as customers switching behavior has become so commonplaceand has become a challenge for retailers. Thus, factors that influence the willingness ofcustomers to repurchase will play a critical role in the performance and success of chainstores. This paper aimed to identify and prioritize the determinative factors that causecustomers repeat patronage in Etka chain stores. Factors were extracted based on a thoroughliterature review and then these factors were modified using pre-test and interview methods.In this study, questionnaires were used for data collection. Respectively, to identify andprioritize determinative factors, correlation analysis and artificial neural networks were used.Results showed that in order of importance, quality, price loyalty program, number of servicecounters, store staff, shelf labels, product selection, parking facilities, home delivery, storebrand, and store atmosphere are factors that determine customers’ repeat patronage of Etkachain stores. Meanwhile, young, educated and wealthy customers showed lower store repeatpatronage. Finally, the paper concludes with suggestions for increasing consumer repeatpatronageof Etka chain-stores and directions for future research |
| first_indexed | 2024-03-12T08:31:21Z |
| format | Article |
| id | doaj.art-eef85febd3b0434494aa246269138788 |
| institution | Directory Open Access Journal |
| issn | 2228-7744 |
| language | fas |
| last_indexed | 2024-03-12T08:31:21Z |
| publishDate | 2013-01-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | تحقیقات بازار یابی نوین |
| spelling | doaj.art-eef85febd3b0434494aa2462691387882023-09-02T17:38:38ZfasUniversity of Isfahanتحقیقات بازار یابی نوین2228-77442013-01-0124119146Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks AlgorithmBehrooz JahandidehAlireza Gol MohammadiMostafa Safdari RanjbarNowadays, chain stores are experiencing a severe competitive environment. In such anenvironment, a growing number of customers are equipped by high volumes of informationand are more risk-taking. As they tend to switch their store based on the higher value thatthey might receive elsewhere, as customers switching behavior has become so commonplaceand has become a challenge for retailers. Thus, factors that influence the willingness ofcustomers to repurchase will play a critical role in the performance and success of chainstores. This paper aimed to identify and prioritize the determinative factors that causecustomers repeat patronage in Etka chain stores. Factors were extracted based on a thoroughliterature review and then these factors were modified using pre-test and interview methods.In this study, questionnaires were used for data collection. Respectively, to identify andprioritize determinative factors, correlation analysis and artificial neural networks were used.Results showed that in order of importance, quality, price loyalty program, number of servicecounters, store staff, shelf labels, product selection, parking facilities, home delivery, storebrand, and store atmosphere are factors that determine customers’ repeat patronage of Etkachain stores. Meanwhile, young, educated and wealthy customers showed lower store repeatpatronage. Finally, the paper concludes with suggestions for increasing consumer repeatpatronageof Etka chain-stores and directions for future researchhttp://uijs.ui.ac.ir/nmrj/browse.php?a_id=380&slc_lang=en&sid=1&ftxt=1Customers repeat patronageEtka chain-storesIdentifying and prioritizingArtificial neural networks |
| spellingShingle | Behrooz Jahandideh Alireza Gol Mohammadi Mostafa Safdari Ranjbar Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm تحقیقات بازار یابی نوین Customers repeat patronage Etka chain-stores Identifying and prioritizing Artificial neural networks |
| title | Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm |
| title_full | Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm |
| title_fullStr | Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm |
| title_full_unstemmed | Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm |
| title_short | Identifying and Prioritizing the Determinative factors of Customers Repeat Purchasing in Etka Chain Stores by Using Neural Networks Algorithm |
| title_sort | identifying and prioritizing the determinative factors of customers repeat purchasing in etka chain stores by using neural networks algorithm |
| topic | Customers repeat patronage Etka chain-stores Identifying and prioritizing Artificial neural networks |
| url | http://uijs.ui.ac.ir/nmrj/browse.php?a_id=380&slc_lang=en&sid=1&ftxt=1 |
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