Enhancing and predicting digital consumer behavior with AI:
"Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consume...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
2024.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior."-- |
| Beschreibung: | 26 PDFs (445 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369344545 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00339207 | ||
| 003 | IGIG | ||
| 005 | 20240517134413.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240517s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369344545 |q PDF | ||
| 020 | |z 9798369344538 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-4453-8 |2 doi | |
| 035 | |a (CaBNVSL)slc00005953 | ||
| 035 | |a (OCoLC)1434591053 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a HF5415.32 |b .E54 2024e | |
| 082 | 7 | |a 658.8/342028563 |2 23 | |
| 245 | 0 | 0 | |a Enhancing and predicting digital consumer behavior with AI |c Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor. |
| 246 | 3 | |a Enhancing and predicting digital consumer behavior with artificial intelligence | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 26 PDFs (445 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Consumer behavior |x Technological innovations. | |
| 650 | 0 | |a Electronic commerce |x Technological innovations. | |
| 653 | |a Behavioral Analytics. | ||
| 653 | |a Consumer Behavior & Ethics. | ||
| 653 | |a Consumer Behavior Prediction. | ||
| 653 | |a Consumer Behavior. | ||
| 653 | |a Consumer Experience. | ||
| 653 | |a Consumer Sentiment Analysis. | ||
| 653 | |a Customer Recommendation Model. | ||
| 653 | |a Customer Segmentation Model. | ||
| 653 | |a Data Analytics. | ||
| 653 | |a Data Structuring. | ||
| 653 | |a Digital Consumer. | ||
| 653 | |a Digital Customer Relationship Management. | ||
| 653 | |a Emotional Intelligence. | ||
| 653 | |a Online Purchase Decision Making. | ||
| 653 | |a Pattern Analysis. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Kannan, Hemachandran |d 1985- |e editor. | |
| 700 | 1 | |a Musiolik, Thomas Heinrich |d 1980- |e editor. | |
| 700 | 1 | |a Rodriguez, Raul Villamarin, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369344538 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4453-8 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00339207 |
|---|---|
| _version_ | 1816797088189513728 |
| adam_text | |
| any_adam_object | |
| author2 | Kannan, Hemachandran 1985- Musiolik, Thomas Heinrich 1980- Rodriguez, Raul Villamarin |
| author2_role | edt edt edt |
| author2_variant | h k hk t h m th thm r v r rv rvr |
| author_facet | Kannan, Hemachandran 1985- Musiolik, Thomas Heinrich 1980- Rodriguez, Raul Villamarin |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HF5415 |
| callnumber-raw | HF5415.32 .E54 2024e |
| callnumber-search | HF5415.32 .E54 2024e |
| callnumber-sort | HF 45415.32 E54 42024E |
| callnumber-subject | HF - Commerce |
| collection | ZDB-98-IGB |
| contents | Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications. |
| ctrlnum | (CaBNVSL)slc00005953 (OCoLC)1434591053 |
| dewey-full | 658.8/342028563 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.8/342028563 |
| dewey-search | 658.8/342028563 |
| dewey-sort | 3658.8 9342028563 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>05656nam a2200661 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00339207</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240517134413.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240517s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369344545</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369344538</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-4453-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005953</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1434591053</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">CaBNVSL</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">CaBNVSL</subfield><subfield code="d">CaBNVSL</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">HF5415.32</subfield><subfield code="b">.E54 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">658.8/342028563</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Enhancing and predicting digital consumer behavior with AI </subfield><subfield code="c">Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor.</subfield></datafield><datafield tag="246" ind1="3" ind2=" "><subfield code="a">Enhancing and predicting digital consumer behavior with artificial intelligence </subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :</subfield><subfield code="b">IGI Global,</subfield><subfield code="c">2024.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">26 PDFs (445 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">electronic</subfield><subfield code="2">isbdmedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications.</subfield></datafield><datafield tag="506" ind1=" " ind2=" "><subfield code="a">Restricted to subscribers or individual electronic text purchasers.</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior."--</subfield><subfield code="c">Provided by publisher.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: World Wide Web.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on title screen (IGI Global, viewed 05/17/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Consumer behavior</subfield><subfield code="x">Technological innovations.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Electronic commerce</subfield><subfield code="x">Technological innovations.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Behavioral Analytics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Consumer Behavior & Ethics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Consumer Behavior Prediction.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Consumer Behavior.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Consumer Experience.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Consumer Sentiment Analysis.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Customer Recommendation Model.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Customer Segmentation Model.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Analytics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Structuring.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Digital Consumer.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Digital Customer Relationship Management.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Emotional Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Online Purchase Decision Making.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Pattern Analysis.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kannan, Hemachandran</subfield><subfield code="d">1985-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Musiolik, Thomas Heinrich</subfield><subfield code="d">1980-</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rodriguez, Raul Villamarin,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">IGI Global,</subfield><subfield code="e">publisher.</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="z">9798369344538</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">FWS_PDA_IGB</subfield><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4453-8</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00339207 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369344545 |
| language | English |
| oclc_num | 1434591053 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 26 PDFs (445 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor. Enhancing and predicting digital consumer behavior with artificial intelligence Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 26 PDFs (445 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications. Restricted to subscribers or individual electronic text purchasers. "Understanding consumer behavior in today's digital landscape is more challenging than ever. Businesses must navigate a sea of data to discern meaningful patterns and correlations that drive effective customer engagement and product development. However, the ever-changing nature of consumer behavior presents a daunting task, making it difficult for companies to gauge the wants and needs of their target audience accurately.Enhancing and Predicting Digital Consumer Behavior with AI offers a comprehensive solution to this pressing issue. A strong focus on concepts, theories, and analytical techniques for tracking consumer behavior changes provides the roadmap for businesses to navigate the complexities of the digital age. By covering topics such as digital consumers, emotional intelligence, and data analytics, this book serves as a timely and invaluable resource for academics and practitioners seeking to understand and adapt to the evolving landscape of consumer behavior."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Artificial intelligence. Consumer behavior Technological innovations. Electronic commerce Technological innovations. Behavioral Analytics. Consumer Behavior & Ethics. Consumer Behavior Prediction. Consumer Behavior. Consumer Experience. Consumer Sentiment Analysis. Customer Recommendation Model. Customer Segmentation Model. Data Analytics. Data Structuring. Digital Consumer. Digital Customer Relationship Management. Emotional Intelligence. Online Purchase Decision Making. Pattern Analysis. Electronic books. Kannan, Hemachandran 1985- editor. Musiolik, Thomas Heinrich 1980- editor. Rodriguez, Raul Villamarin, editor. IGI Global, publisher. Print version: 9798369344538 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4453-8 Volltext |
| spellingShingle | Enhancing and predicting digital consumer behavior with AI Chapter 1. A critical examination of ethical implications in AI-driven consumer behavior media discourse and environmental sustainability -- Chapter 2. A systematic analysis of artificial intelligence's usage in online advertising: how artificial intelligence affects digital marketing initiatives -- Chapter 3. A systematic literature review on the human-AI partnership roles in higher education -- Chapter 4. Artificial intelligence in the consumer behavior process in business -- Chapter 5. Artificial intelligence-enabled education marketing in an emerging bioeconomy -- Chapter 6. Assessing social media platform effectiveness among varied consumer segments using fuzzy analysis -- Chapter 7. Assessment of male millennial digital purchase intent with regard to online fashion -- Chapter 8. Social psychology and artificial intelligence improvement of the relationship customer-digital commercial environment: challenges of choosing the best approaches -- Chapter 9. Effect of digital financial literacy on digital consumer protection: mediating role of financial self-efficacy and financial confidence -- Chapter 10. Enhancing the digital consumer experience: the role of artificial intelligence -- Chapter 11. Financial illusion: navigating the digital banking landscape through emerging trends for businesses -- Chapter 12. Harnessing AI for ethical digital consumer behavior analysis -- Chapter 13. Predictive analysis of digital consumer behaviour: key to understanding success and failure of a brand -- Chapter 14. Predictors of online buying behaviour -- Chapter 15. Science of emotional intelligence -- Chapter 16. The behavioural impact of artificial intelligence: theory of consumption value perspective -- Chapter 17. The role of emotional intelligence in shaping online purchase decision-making -- Chapter 18. Uncovering insights by comparing machine learning algorithms for customer churn analysis -- Chapter 19. Unlocking the AI-powered customer experience: personalized service, enhanced engagement, and data-driven strategies for e-commerce applications. Artificial intelligence. Consumer behavior Technological innovations. Electronic commerce Technological innovations. |
| title | Enhancing and predicting digital consumer behavior with AI |
| title_alt | Enhancing and predicting digital consumer behavior with artificial intelligence |
| title_auth | Enhancing and predicting digital consumer behavior with AI |
| title_exact_search | Enhancing and predicting digital consumer behavior with AI |
| title_full | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor. |
| title_fullStr | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor. |
| title_full_unstemmed | Enhancing and predicting digital consumer behavior with AI Thomas Heinrich Musiolik, Raul Villamarin Rodriguez, Hemachandran Kannan, editor. |
| title_short | Enhancing and predicting digital consumer behavior with AI |
| title_sort | enhancing and predicting digital consumer behavior with ai |
| topic | Artificial intelligence. Consumer behavior Technological innovations. Electronic commerce Technological innovations. |
| topic_facet | Artificial intelligence. Consumer behavior Technological innovations. Electronic commerce Technological innovations. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-4453-8 |
| work_keys_str_mv | AT kannanhemachandran enhancingandpredictingdigitalconsumerbehaviorwithai AT musiolikthomasheinrich enhancingandpredictingdigitalconsumerbehaviorwithai AT rodriguezraulvillamarin enhancingandpredictingdigitalconsumerbehaviorwithai AT igiglobal enhancingandpredictingdigitalconsumerbehaviorwithai AT kannanhemachandran enhancingandpredictingdigitalconsumerbehaviorwithartificialintelligence AT musiolikthomasheinrich enhancingandpredictingdigitalconsumerbehaviorwithartificialintelligence AT rodriguezraulvillamarin enhancingandpredictingdigitalconsumerbehaviorwithartificialintelligence AT igiglobal enhancingandpredictingdigitalconsumerbehaviorwithartificialintelligence |