Customer experience antecedents in the context of AI chatbot services / (Record no. 175319)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 06143namaa22004331i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GICUC |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20251101135703.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251101s2025 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 658 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | Ph.D |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.05.01.Ph.D.2025.Ah.C |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Ahmed Mohamed Mahmoud Ramadan, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Customer experience antecedents in the context of AI chatbot services / |
| Statement of responsibility, etc. | by Ahmed Mohamed Mahmoud Ramadan ; Supervised Prof. Dr. Hala Mohamed Labib Enaba, Dr. Alaa TarekKhalil. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | سوابق تجربة العملاء في سياق خدمات المحادثة بتقنية الذكاء الاصطناعي |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 148 Leaves : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph.D)-Cairo University, 2025. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 108-121 |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | <br/>Customer experience antecedents in the context of AI chatbot services<br/>سوابق تجربة العملاء في سياق خدمات المحادثة بتقنية الذكاء الاصطناعي<br/><br/>A dissertation submitted as a partial fulfillment of the requirement of the<br/>degree of Doctorate of Business Administration (DBA)<br/><br/>ByAhmed Mohamed Mahmoud Ramadan<br/>DBA Candidate–Major: Marketing<br/>Business Administration Department <br/>Faculty of Commerce - Cairo University<br/><br/>Supervised By:<br/>Prof. Dr. Hala Mohamed Labib Enaba<br/><br/>Dr. Alaa TarekKhalil<br/>Associate Professor <br/>Business Administration Department <br/>Faculty of Commerce - Cairo University<br/><br/>(2025)<br/>Abstract<br/>Purpose: The purpose of this study is to identify the Artificial Intelligence (AI) related factors that impact AI-Enabled Customer Experience. In real business life, the question has already arisen: What are the most important factors that a company should consider before and while launching an AI chatbot customer service application in the mobile broadband field? An initial conceptual model has been constructed from literature review, then 30 candidates’ interviews have been conducted to refine the model focusing on 3 independent variables: Perceived Convenience, Personalization, and AI Opaqueness, impacting AI-Enabled Customer Experience while potentially having trust as a mediator. The study aimed to empirically test the final proposed model.<br/>Methodology: A mixed method approach has been followed in this research where the qualitative interviews approach was used to qualify the initial constructed model and land on the final proposed model, then a quantitative approach was followed to test the developed final proposed model.<br/>Originality: The research is based on both the trust-commitment theory and the service quality models.<br/>Results: The results show that AI-Enabled Customer Experience is highly impacted by Perceived Convenience, then comes Personalization, lastly comes the AI Opaqueness. Results also confirm that the direct impacts of those factors are stronger than the mediation relationship through trust although the mediation relation is statistically significant. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | الغرض: من هذه الدراسة هو تحديد العوامل المرتبطة بالذكاء الاصطناعي والتي تؤثر على تجربة العملاء المدعومة بالذكاء الاصطناعي. في حياة الباحث العملية، نشأ السؤال بالفعل ألا وهو، ما هي أهم العوامل التي يجب على الشركة مراعاتها قبل وأثناء إطلاق تطبيق خدمة العملاء للدردشة الآلية بالذكاء الاصطناعي في مجال خدمات المحمول؟ تم إنشاء نموذج مفاهيمي أولي من مراجعة الأدبيات، ثم أجريت مقابلات مع 30 مرشحًا لصقل النموذج وتنقيحه مما أدى إلى التركيز على 3 متغيرات مستقلة: الراحة المتصورة والتخصيص وغموض الذكاء الاصطناعي الذين يؤثرون على تجربة العملاء مع وجود الثقة كوسيط محتمل. هدفت الدراسة إلى اختبار النموذج النهائي المقترح تجريبياً.<br/> <br/>المنهجية: تم اتباع نهج مختلط في هذا البحث حيث تم استخدام نهج المقابلات النوعية لتأهيل وتنقيح النموذج المبني الأوليللاستقرار على النموذج النهائي المقترح، ثم تم اتباع نهج كمي لاختبار النموذج النهائي المقترح.<br/><br/>الأصل: تم بناء البحث على كل من نظرية الثقة والالتزام ونموذج جودة الخدمة.<br/>النتائج: تظهر النتائج أن تجربة العملاء المدعومة بالذكاء الاصطناعي تتأثر بشكل كبير بالراحة المتصورة، ثم يأتي التخصيص، وأخيرًا يأتي غموض الذكاء الاصطناعي. تؤكد النتائج أيضًا أن التأثيرات المباشرة لهذه العوامل أقوى من علاقة الوساطة من خلال الثقة على الرغم من ثبوت علاقة الوساطة إحصائيا |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issues also as CD. |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Business Administration |
| 651 #7 - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | إدارة الأعمال |
| 653 #1 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Artificial Intelligence (AI) |
| -- | AI chatbot service |
| -- | AI-Enabled Customer Experience |
| -- | Trust |
| -- | AI Opaqueness |
| -- | Perceived Convenience |
| -- | Personalization |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hala Mohamed Labib Enaba |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Alaa TarekKhalil |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2025 |
| Supervisory body | Hala Mohamed Labib Enaba |
| -- | Alaa TarekKhalil |
| Universities | Cairo University |
| Faculties | Faculty of Commerce |
| Department | Department of Business Administration |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Shimaa |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 01.11.2025 | 92296 | Cai01.05.01.Ph.D.2025.Ah.C | 01010110092296000 | 31.10.2025 | 01.11.2025 | Thesis |