Consumer behavior change and data analytics in the socio-digital era:
"This book focuses on concepts, theories, and analytical techniques to track consumer behavior change for the sake of better decision making among businesses, covering various techniques such as opinion mining, behavioral and social media analytics using machine learning, deep learning, ensembl...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2022.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book focuses on concepts, theories, and analytical techniques to track consumer behavior change for the sake of better decision making among businesses, covering various techniques such as opinion mining, behavioral and social media analytics using machine learning, deep learning, ensemble learning, and emotional intelligence." |
| Beschreibung: | 26 PDFs (458 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781668441701 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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| 245 | 1 | 0 | |a Consumer behavior change and data analytics in the socio-digital era |c Pantea Keikhosrokiani. |
| 246 | 3 | |a Handbook of research on consumer behavior change and data analytics in the socio-digital era | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2022. | |
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Section 1. Data analytics and consumer behavior change in the socio-digital era. Chapter 1. Consumer behavior classification in online virtual stores using emotional intelligence ; Chapter 2. Segmenting the retail customers: a multi-model approach of clustering in machine learning ; Chapter 3. Panic station: consumer sentiment analysis of the evolving panic buying during the COVID-19 pandemic ; Chapter 4. Product aspect ranking using multi-criteria decision making ; Chapter 5. Machine learning and time series models for consumer behavior prediction in the data analytics paradigm ; Chapter 6. An RFM model using K-means clustering to improve customer segmentation and product recommendation ; Chapter 7. Consumer big data analytics: a treasure for businesses in the socio-digital era -- Section 2. Theories, conceptual frameworks, and modelling to predict consumer behavior change in the socio-digital era. Chapter 8. Modelling socio-digital customer relationship management in the hospitality sector during the pandemic time ; Chapter 9. E-consumer behavioral analytics: paradigm shift in online purchase decision making ; Chapter 10. Predicting consumer behavior change towards using online shopping in Nigeria: the impact of the COVID-19 pandemic ; Chapter 11. Age in the consumer behavior change: evidence from awareness, perceived value, and use of mobile banking ; Chapter 12. The impact of social media and digital marketing on consumer behavior -- Section 3. Case studies and reviews on consumer behavior change in the socio-digital era. Chapter 13. Social media marketing strategies in the lingerie industry: the vase of Valentine's Day campaign in Spain ; Chapter 14. Student learning and purchasing behaviour change during the Coronavirus pandemic ; Chapter 15. Fashion resale behaviours and technology disruption: an in-depth review ; Chapter 16. From utilitarian to hedonic consumer behavior: an evaluation for the socio-digital age. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book focuses on concepts, theories, and analytical techniques to track consumer behavior change for the sake of better decision making among businesses, covering various techniques such as opinion mining, behavioral and social media analytics using machine learning, deep learning, ensemble learning, and emotional intelligence." | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 06/30/2022). | ||
| 650 | 0 | |a Consumer behavior. | |
| 650 | 0 | |a Content analysis (Communication) |x Data processing. | |
| 650 | 0 | |a Social media |x Data processing. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 049 | |a DE-863 | ||
Datensatz im Suchindex
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| contents | Section 1. Data analytics and consumer behavior change in the socio-digital era. Chapter 1. Consumer behavior classification in online virtual stores using emotional intelligence ; Chapter 2. Segmenting the retail customers: a multi-model approach of clustering in machine learning ; Chapter 3. Panic station: consumer sentiment analysis of the evolving panic buying during the COVID-19 pandemic ; Chapter 4. Product aspect ranking using multi-criteria decision making ; Chapter 5. Machine learning and time series models for consumer behavior prediction in the data analytics paradigm ; Chapter 6. An RFM model using K-means clustering to improve customer segmentation and product recommendation ; Chapter 7. Consumer big data analytics: a treasure for businesses in the socio-digital era -- Section 2. Theories, conceptual frameworks, and modelling to predict consumer behavior change in the socio-digital era. Chapter 8. Modelling socio-digital customer relationship management in the hospitality sector during the pandemic time ; Chapter 9. E-consumer behavioral analytics: paradigm shift in online purchase decision making ; Chapter 10. Predicting consumer behavior change towards using online shopping in Nigeria: the impact of the COVID-19 pandemic ; Chapter 11. Age in the consumer behavior change: evidence from awareness, perceived value, and use of mobile banking ; Chapter 12. The impact of social media and digital marketing on consumer behavior -- Section 3. Case studies and reviews on consumer behavior change in the socio-digital era. Chapter 13. Social media marketing strategies in the lingerie industry: the vase of Valentine's Day campaign in Spain ; Chapter 14. Student learning and purchasing behaviour change during the Coronavirus pandemic ; Chapter 15. Fashion resale behaviours and technology disruption: an in-depth review ; Chapter 16. From utilitarian to hedonic consumer behavior: an evaluation for the socio-digital age. |
| ctrlnum | (CaBNVSL)slc00002885 (OCoLC)1331703380 |
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| dewey-ones | 658 - General management |
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| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00288493 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:59Z |
| institution | BVB |
| isbn | 9781668441701 |
| language | English |
| oclc_num | 1331703380 |
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| physical | 26 PDFs (458 pages) Also available in print. |
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| spelling | Keikhosrokiani, Pantea, author. Consumer behavior change and data analytics in the socio-digital era Pantea Keikhosrokiani. Handbook of research on consumer behavior change and data analytics in the socio-digital era Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2022. 26 PDFs (458 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Data analytics and consumer behavior change in the socio-digital era. Chapter 1. Consumer behavior classification in online virtual stores using emotional intelligence ; Chapter 2. Segmenting the retail customers: a multi-model approach of clustering in machine learning ; Chapter 3. Panic station: consumer sentiment analysis of the evolving panic buying during the COVID-19 pandemic ; Chapter 4. Product aspect ranking using multi-criteria decision making ; Chapter 5. Machine learning and time series models for consumer behavior prediction in the data analytics paradigm ; Chapter 6. An RFM model using K-means clustering to improve customer segmentation and product recommendation ; Chapter 7. Consumer big data analytics: a treasure for businesses in the socio-digital era -- Section 2. Theories, conceptual frameworks, and modelling to predict consumer behavior change in the socio-digital era. Chapter 8. Modelling socio-digital customer relationship management in the hospitality sector during the pandemic time ; Chapter 9. E-consumer behavioral analytics: paradigm shift in online purchase decision making ; Chapter 10. Predicting consumer behavior change towards using online shopping in Nigeria: the impact of the COVID-19 pandemic ; Chapter 11. Age in the consumer behavior change: evidence from awareness, perceived value, and use of mobile banking ; Chapter 12. The impact of social media and digital marketing on consumer behavior -- Section 3. Case studies and reviews on consumer behavior change in the socio-digital era. Chapter 13. Social media marketing strategies in the lingerie industry: the vase of Valentine's Day campaign in Spain ; Chapter 14. Student learning and purchasing behaviour change during the Coronavirus pandemic ; Chapter 15. Fashion resale behaviours and technology disruption: an in-depth review ; Chapter 16. From utilitarian to hedonic consumer behavior: an evaluation for the socio-digital age. Restricted to subscribers or individual electronic text purchasers. "This book focuses on concepts, theories, and analytical techniques to track consumer behavior change for the sake of better decision making among businesses, covering various techniques such as opinion mining, behavioral and social media analytics using machine learning, deep learning, ensemble learning, and emotional intelligence." Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 06/30/2022). Consumer behavior. Content analysis (Communication) Data processing. Social media Data processing. IGI Global, publisher. Print version: 1668441683 9781668441688 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4168-8 Volltext |
| spellingShingle | Keikhosrokiani, Pantea Consumer behavior change and data analytics in the socio-digital era Section 1. Data analytics and consumer behavior change in the socio-digital era. Chapter 1. Consumer behavior classification in online virtual stores using emotional intelligence ; Chapter 2. Segmenting the retail customers: a multi-model approach of clustering in machine learning ; Chapter 3. Panic station: consumer sentiment analysis of the evolving panic buying during the COVID-19 pandemic ; Chapter 4. Product aspect ranking using multi-criteria decision making ; Chapter 5. Machine learning and time series models for consumer behavior prediction in the data analytics paradigm ; Chapter 6. An RFM model using K-means clustering to improve customer segmentation and product recommendation ; Chapter 7. Consumer big data analytics: a treasure for businesses in the socio-digital era -- Section 2. Theories, conceptual frameworks, and modelling to predict consumer behavior change in the socio-digital era. Chapter 8. Modelling socio-digital customer relationship management in the hospitality sector during the pandemic time ; Chapter 9. E-consumer behavioral analytics: paradigm shift in online purchase decision making ; Chapter 10. Predicting consumer behavior change towards using online shopping in Nigeria: the impact of the COVID-19 pandemic ; Chapter 11. Age in the consumer behavior change: evidence from awareness, perceived value, and use of mobile banking ; Chapter 12. The impact of social media and digital marketing on consumer behavior -- Section 3. Case studies and reviews on consumer behavior change in the socio-digital era. Chapter 13. Social media marketing strategies in the lingerie industry: the vase of Valentine's Day campaign in Spain ; Chapter 14. Student learning and purchasing behaviour change during the Coronavirus pandemic ; Chapter 15. Fashion resale behaviours and technology disruption: an in-depth review ; Chapter 16. From utilitarian to hedonic consumer behavior: an evaluation for the socio-digital age. Consumer behavior. Content analysis (Communication) Data processing. Social media Data processing. |
| title | Consumer behavior change and data analytics in the socio-digital era |
| title_alt | Handbook of research on consumer behavior change and data analytics in the socio-digital era |
| title_auth | Consumer behavior change and data analytics in the socio-digital era |
| title_exact_search | Consumer behavior change and data analytics in the socio-digital era |
| title_full | Consumer behavior change and data analytics in the socio-digital era Pantea Keikhosrokiani. |
| title_fullStr | Consumer behavior change and data analytics in the socio-digital era Pantea Keikhosrokiani. |
| title_full_unstemmed | Consumer behavior change and data analytics in the socio-digital era Pantea Keikhosrokiani. |
| title_short | Consumer behavior change and data analytics in the socio-digital era |
| title_sort | consumer behavior change and data analytics in the socio digital era |
| topic | Consumer behavior. Content analysis (Communication) Data processing. Social media Data processing. |
| topic_facet | Consumer behavior. Content analysis (Communication) Data processing. Social media Data processing. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-6684-4168-8 |
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