Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques
Nowadays, the importance of studies in customers’ behavior and attitude has been proved. Customer loyalty and its influencing factors in the world of e-commerce are being evaluated from different point of view. Nevertheless, little awareness of e-commerce factors from customers or service providers...
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| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2018-08-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_8895_7c1441a5a4d20c8155465465fd6020ec.pdf |
| _version_ | 1797386074616496128 |
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| author | Alireza Hasan Zadeh Amir Khorasani |
| author_facet | Alireza Hasan Zadeh Amir Khorasani |
| author_sort | Alireza Hasan Zadeh |
| collection | DOAJ |
| description | Nowadays, the importance of studies in customers’ behavior and attitude has been proved. Customer loyalty and its influencing factors in the world of e-commerce are being evaluated from different point of view. Nevertheless, little awareness of e-commerce factors from customers or service providers is a major barrier to the adoption of this business in Iran. On the other hand, the frequent use of vague terms such as "High quality websites" which does not have accurate and standard meanings between different people is another problem in understanding the factors affecting electronic loyalty. In this research, firstly factors influencing e-loyalty was studied and then fuzzy inference engine was designed using fuzzy logic and fuzzy rules were extracted. Comparing the rules with 2 websites as a real-world example showed the correctness of the proposed rules. The results showed that in the field of customer loyalty, it is necessary to consider the principles and concepts of Herzberg Health and Motivation theory in order to adopt the correct strategy in electronic business management. |
| first_indexed | 2024-03-08T22:04:42Z |
| format | Article |
| id | doaj.art-e41ebabee4f549a4ad3490d226a92b49 |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:04:42Z |
| publishDate | 2018-08-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-e41ebabee4f549a4ad3490d226a92b492023-12-19T10:33:21ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162018-08-0162413717010.22054/ims.2018.88958895Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy TechniquesAlireza Hasan Zadeh0Amir Khorasani1Associate Professor, Tarbiat Modares University, Tehran.MA, Information Technology Management, Tarbiat Modarres University, Tehran . (Corresponding author: amir.khorasani@modares.ac.irNowadays, the importance of studies in customers’ behavior and attitude has been proved. Customer loyalty and its influencing factors in the world of e-commerce are being evaluated from different point of view. Nevertheless, little awareness of e-commerce factors from customers or service providers is a major barrier to the adoption of this business in Iran. On the other hand, the frequent use of vague terms such as "High quality websites" which does not have accurate and standard meanings between different people is another problem in understanding the factors affecting electronic loyalty. In this research, firstly factors influencing e-loyalty was studied and then fuzzy inference engine was designed using fuzzy logic and fuzzy rules were extracted. Comparing the rules with 2 websites as a real-world example showed the correctness of the proposed rules. The results showed that in the field of customer loyalty, it is necessary to consider the principles and concepts of Herzberg Health and Motivation theory in order to adopt the correct strategy in electronic business management.https://ims.atu.ac.ir/article_8895_7c1441a5a4d20c8155465465fd6020ec.pdfe-commercecustomerloyaltyfuzzy logic |
| spellingShingle | Alireza Hasan Zadeh Amir Khorasani Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques مطالعات مدیریت کسب و کار هوشمند e-commerce customer loyalty fuzzy logic |
| title | Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques |
| title_full | Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques |
| title_fullStr | Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques |
| title_full_unstemmed | Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques |
| title_short | Design and Implementation of the Rules for Detecting Customer Loyalty in E-commerce Systems Using Fuzzy Techniques |
| title_sort | design and implementation of the rules for detecting customer loyalty in e commerce systems using fuzzy techniques |
| topic | e-commerce customer loyalty fuzzy logic |
| url | https://ims.atu.ac.ir/article_8895_7c1441a5a4d20c8155465465fd6020ec.pdf |
| work_keys_str_mv | AT alirezahasanzadeh designandimplementationoftherulesfordetectingcustomerloyaltyinecommercesystemsusingfuzzytechniques AT amirkhorasani designandimplementationoftherulesfordetectingcustomerloyaltyinecommercesystemsusingfuzzytechniques |