Digital Influence on Consumer Habits: Marketing Challenges and Opportunities
Readers will learn service quality, peer pressure, online reviewers' effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Trans...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Leeds
Emerald Publishing Limited
2024
|
| Ausgabe: | 1st ed |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Zusammenfassung: | Readers will learn service quality, peer pressure, online reviewers' effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (205 Seiten) |
| ISBN: | 9781804553428 |
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| 505 | 8 | |a Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- List of Figures and Tables -- About the Contributors -- Chapter 1: Disruptive Artificial Intelligence: Augmenting Consumer Experience Through Chatbot Banking -- 1. Introduction -- 2. Literature Review -- 2.2. Chatbot and Chatbot Banking AI -- 2.3. Customer Experience -- 2.4. The Influence of Chatbot Banking on Customer Experience -- 2.5. Chatbot Banking and CX Related Theories -- 2.6. Conceptual Framework -- 2.6.1. Chatbot Banking's Reliability and Its Link to CX -- 2.6.2. Responsiveness of Chatbots and CX -- 2.6.3. Perceived Benefits of Chatbots and CX -- 2.6.4. Perceived Ease of Use of Chatbots and CX -- 3. Methodology -- 3.1. Model Specification -- 4. Data Analysis -- 4.1. Assessment of the Measurement Model -- 4.2. Unidimensionality -- 4.3. Convergent Validity -- 4.4. Discriminant Validity -- 4.5. Reliability -- 4.6. Hypotheses Testing -- 4.7. Discussion -- 5. Implications -- 6. Conclusions -- References -- Chapter 2: Perceived Service Quality and Customer Loyalty: A Study of Online Food Delivery Applications in Platform to Customer (P2C) Service Delivery in Sri Lanka -- Introduction -- Literature Review -- Uses and Gratification Theory -- Empirical Review -- OFDA Services in P2C Service Delivery Platforms -- Customer Loyalty -- Interaction Quality (Visual Design) -- Environment Quality (Navigational Design) -- Outcome Quality (Information Design) -- Delivery Quality -- Food Quality -- Methodology -- Data Analysis -- Discussion -- Conclusion, Managerial Implications, and Future Research Directions -- References -- Chapter 3: The Impact of Artificial Intelligence on Customer Satisfaction Levels in the Mobile Telephony Industry of Zimbabwe -- 1. Introduction -- 1.1. Contextual Setting -- 1.2. The Zimbabwe Telephony Industry and Customer Loyalty | |
| 505 | 8 | |a 2. Theoretical and Conceptual Frameworks -- 2.1. AI Defined -- 2.2. Types of AI -- 2.3. Narrow AI -- 2.4. Chatbots as an AI Application for Managing Customer Satisfaction -- 2.5. Customer Satisfaction Gaps -- 2.6. Conceptual Framework -- 3. Research Methodology -- 4. Presentation and Analysis -- 4.1. Levels of Econet Customers on the Use of Chatbots -- 4.2. Impact of Chatbots on Customer Service Convenience, Speed of Response, and Omnichannel Strategies -- 4.2.1. Correlation Between the Use of Chatbots and Customer Satisfaction -- 4.2.2. Regression Analysis of the Effect of the Use of Chatbots on Customer Satisfaction -- 5. Discussion and Interpretation -- 5. Conclusions and Recommendations -- 5.1.1. Levels of Econet Customers Before and After the Implementation of Chatbots -- 5.1.2. Effectiveness of Chatbots in Improving Customer Satisfaction -- 5.2. Implications -- 5.3. Recommendations -- References -- Chapter 4: Impact of COVID-19 on the Hospitality Industry: Thematic Analysis of Global Tweets -- 1. Introduction -- 2. Literature Review -- 3. Research Methodology -- 4. Findings -- 4.1. Location Analysis -- 4.2. Word Analysis, Text Search, and Thematic Analysis -- 4.2.1. Word Analysis -- 4.2.2. Text Search -- 4.2.3. Thematic Analysis -- 4.3. Sentiment Analysis, Word Cloud Analysis, and Statistical Analysis -- 4.3.1. Word Cloud Analysis -- 4.3.2. Statistical Analysis -- 5. Discussion and Conclusions -- References -- Chapter 5: A Bibliometric Analysis on Research Trends in Neuromarketing: Current Status and Future Directions -- 1. Introduction -- 2. Materials and Methods -- 2.1 Literature Search -- 2.2 Sampling -- 2.3 Data Analysis -- 3. Results -- 3.2 Journal Outcomes -- 3.3 Keyword Analysis -- 3.4 Journals Co-citation Analysis -- 3.5 Country Collaboration -- 3.6 Thematic Mapping -- 4. Conclusion -- References | |
| 505 | 8 | |a Chapter 6: Understanding Acceptance and Continuous Intention of Mobile Wallet by LGBT Community Using SOR Model -- 1. Introduction -- 2. Literature Review and Development of Hypothesis -- 2.1. The PT and BI -- 2.2. The PEoU and BI -- 2.3. SI and BI -- 2.4. Satisfaction and BI -- 2.5. Continuous Intention -- 3. Research Methodology -- 3.2. Data Analysis and Results -- 4. Discussion and Conclusions -- 5. Implication -- 5.2. Managerial/Practical Implications -- 6. Limitations and Future Research Scope -- References -- Chapter 7: Factors for Sharing Economy Platforms in the Indian Context -- 1. Introduction -- 2. Literature Review -- 2.1. Sharing Economy -- 2.2. The Impact of Technology on CB -- 2.3. Proposed Conceptual Framework -- 3. Discussion -- 4. Conclusion -- References -- Chapter 8: Digital Marketing (DM): How Are Small Business Enterprises (SBEs) of Bhutan and Sikkim (India) Responding to It? -- 1. Introduction and Background of the Study -- 2. Literature Review -- 3. Research Methodology -- 4. Data Analysis -- 4.2. Correlation Analysis -- 5. Conclusions -- 6. Recommendations -- References -- Chapter 9: Impact of AI on Knowledge-based Marketing: A Study of B2B Markets -- 1. Introduction -- 2. Literature Review -- 3. Need for the Study -- 4. Methodology and Purpose of the Study -- 5. Conceptual Development and Findings -- 5.1. Element One of AI: Structured Data -- 5.2. Element Two of AI: Unstructured Data -- 5.3. Element Three of AI: Pre-processing -- 5.3.1. Ability to Comprehend Spoken Language -- 5.3.2. Computer-vision Processing -- 5.4. Element Four of AI: Main Processing -- 5.4.1. Problem-solving -- 5.4.2. Reasoning -- 5.4.3. Machine Learning -- 5.4.4. Information Storage -- 5.5. Element Fifth of AI: Knowledge -- 5.6. Element Sixth of AI: Information -- 5.7. Conceptual Framework -- 6. Practical Implications -- 6.1. Image Creation | |
| 505 | 8 | |a 6.2. Robotics -- 7. AI's Impact on B2B Marketers' Market Understanding -- 8. Discussion and Future Research Directions -- 8.1.1. Future Research Directions -- 8.2. Understanding of the User -- 8.2.1. Future Research Directions -- 8.3. Understanding of the Market -- 8.3.1. Future Research Directions -- 9. Conclusion -- References -- Chapter 10: Electronic Word of Mouth (eWOM) and Consumer Purchasing Behaviour: A Study in Karachi's Digital Era -- 1. Introduction -- 1.1. Analytical Significance -- 1.2. Past Studies -- 2. Methodology -- 2.2. Designing Samples -- 2.3. Scope of the Study -- 3. Results and Discussion -- 4. Conclusion -- References -- Chapter 11: Promoting Healthy Lifestyle by Influencing Consumers' Online Food Choices: The Use of Digital Nudging -- Introduction -- Policies for Tackling Obesity -- Concept of Nudging -- Various Nudges and Their Advantages -- The Nuffield Council Intervention Ladder -- The 4P Framework -- The Era of Digital Nudging -- Digital Nudges: Ethical Considerations and Persuasion -- The Rise of Digital Nudging in IS Research -- Digital Nudging Versus Persuasive Technology: What's the Difference? -- Effectiveness of Digital Nudging -- Conclusion -- Discussion -- References | |
| 520 | |a Readers will learn service quality, peer pressure, online reviewers' effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation | ||
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Datensatz im Suchindex
| _version_ | 1814902791671382016 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Singh, Nripendra |
| author_facet | Singh, Nripendra |
| author_role | aut |
| author_sort | Singh, Nripendra |
| author_variant | n s ns |
| building | Verbundindex |
| bvnumber | BV049874881 |
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| contents | Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- List of Figures and Tables -- About the Contributors -- Chapter 1: Disruptive Artificial Intelligence: Augmenting Consumer Experience Through Chatbot Banking -- 1. Introduction -- 2. Literature Review -- 2.2. Chatbot and Chatbot Banking AI -- 2.3. Customer Experience -- 2.4. The Influence of Chatbot Banking on Customer Experience -- 2.5. Chatbot Banking and CX Related Theories -- 2.6. Conceptual Framework -- 2.6.1. Chatbot Banking's Reliability and Its Link to CX -- 2.6.2. Responsiveness of Chatbots and CX -- 2.6.3. Perceived Benefits of Chatbots and CX -- 2.6.4. Perceived Ease of Use of Chatbots and CX -- 3. Methodology -- 3.1. Model Specification -- 4. Data Analysis -- 4.1. Assessment of the Measurement Model -- 4.2. Unidimensionality -- 4.3. Convergent Validity -- 4.4. Discriminant Validity -- 4.5. Reliability -- 4.6. Hypotheses Testing -- 4.7. Discussion -- 5. Implications -- 6. Conclusions -- References -- Chapter 2: Perceived Service Quality and Customer Loyalty: A Study of Online Food Delivery Applications in Platform to Customer (P2C) Service Delivery in Sri Lanka -- Introduction -- Literature Review -- Uses and Gratification Theory -- Empirical Review -- OFDA Services in P2C Service Delivery Platforms -- Customer Loyalty -- Interaction Quality (Visual Design) -- Environment Quality (Navigational Design) -- Outcome Quality (Information Design) -- Delivery Quality -- Food Quality -- Methodology -- Data Analysis -- Discussion -- Conclusion, Managerial Implications, and Future Research Directions -- References -- Chapter 3: The Impact of Artificial Intelligence on Customer Satisfaction Levels in the Mobile Telephony Industry of Zimbabwe -- 1. Introduction -- 1.1. Contextual Setting -- 1.2. The Zimbabwe Telephony Industry and Customer Loyalty 2. Theoretical and Conceptual Frameworks -- 2.1. AI Defined -- 2.2. Types of AI -- 2.3. Narrow AI -- 2.4. Chatbots as an AI Application for Managing Customer Satisfaction -- 2.5. Customer Satisfaction Gaps -- 2.6. Conceptual Framework -- 3. Research Methodology -- 4. Presentation and Analysis -- 4.1. Levels of Econet Customers on the Use of Chatbots -- 4.2. Impact of Chatbots on Customer Service Convenience, Speed of Response, and Omnichannel Strategies -- 4.2.1. Correlation Between the Use of Chatbots and Customer Satisfaction -- 4.2.2. Regression Analysis of the Effect of the Use of Chatbots on Customer Satisfaction -- 5. Discussion and Interpretation -- 5. Conclusions and Recommendations -- 5.1.1. Levels of Econet Customers Before and After the Implementation of Chatbots -- 5.1.2. Effectiveness of Chatbots in Improving Customer Satisfaction -- 5.2. Implications -- 5.3. Recommendations -- References -- Chapter 4: Impact of COVID-19 on the Hospitality Industry: Thematic Analysis of Global Tweets -- 1. Introduction -- 2. Literature Review -- 3. Research Methodology -- 4. Findings -- 4.1. Location Analysis -- 4.2. Word Analysis, Text Search, and Thematic Analysis -- 4.2.1. Word Analysis -- 4.2.2. Text Search -- 4.2.3. Thematic Analysis -- 4.3. Sentiment Analysis, Word Cloud Analysis, and Statistical Analysis -- 4.3.1. Word Cloud Analysis -- 4.3.2. Statistical Analysis -- 5. Discussion and Conclusions -- References -- Chapter 5: A Bibliometric Analysis on Research Trends in Neuromarketing: Current Status and Future Directions -- 1. Introduction -- 2. Materials and Methods -- 2.1 Literature Search -- 2.2 Sampling -- 2.3 Data Analysis -- 3. Results -- 3.2 Journal Outcomes -- 3.3 Keyword Analysis -- 3.4 Journals Co-citation Analysis -- 3.5 Country Collaboration -- 3.6 Thematic Mapping -- 4. Conclusion -- References Chapter 6: Understanding Acceptance and Continuous Intention of Mobile Wallet by LGBT Community Using SOR Model -- 1. Introduction -- 2. Literature Review and Development of Hypothesis -- 2.1. The PT and BI -- 2.2. The PEoU and BI -- 2.3. SI and BI -- 2.4. Satisfaction and BI -- 2.5. Continuous Intention -- 3. Research Methodology -- 3.2. Data Analysis and Results -- 4. Discussion and Conclusions -- 5. Implication -- 5.2. Managerial/Practical Implications -- 6. Limitations and Future Research Scope -- References -- Chapter 7: Factors for Sharing Economy Platforms in the Indian Context -- 1. Introduction -- 2. Literature Review -- 2.1. Sharing Economy -- 2.2. The Impact of Technology on CB -- 2.3. Proposed Conceptual Framework -- 3. Discussion -- 4. Conclusion -- References -- Chapter 8: Digital Marketing (DM): How Are Small Business Enterprises (SBEs) of Bhutan and Sikkim (India) Responding to It? -- 1. Introduction and Background of the Study -- 2. Literature Review -- 3. Research Methodology -- 4. Data Analysis -- 4.2. Correlation Analysis -- 5. Conclusions -- 6. Recommendations -- References -- Chapter 9: Impact of AI on Knowledge-based Marketing: A Study of B2B Markets -- 1. Introduction -- 2. Literature Review -- 3. Need for the Study -- 4. Methodology and Purpose of the Study -- 5. Conceptual Development and Findings -- 5.1. Element One of AI: Structured Data -- 5.2. Element Two of AI: Unstructured Data -- 5.3. Element Three of AI: Pre-processing -- 5.3.1. Ability to Comprehend Spoken Language -- 5.3.2. Computer-vision Processing -- 5.4. Element Four of AI: Main Processing -- 5.4.1. Problem-solving -- 5.4.2. Reasoning -- 5.4.3. Machine Learning -- 5.4.4. Information Storage -- 5.5. Element Fifth of AI: Knowledge -- 5.6. Element Sixth of AI: Information -- 5.7. Conceptual Framework -- 6. Practical Implications -- 6.1. Image Creation 6.2. Robotics -- 7. AI's Impact on B2B Marketers' Market Understanding -- 8. Discussion and Future Research Directions -- 8.1.1. Future Research Directions -- 8.2. Understanding of the User -- 8.2.1. Future Research Directions -- 8.3. Understanding of the Market -- 8.3.1. Future Research Directions -- 9. Conclusion -- References -- Chapter 10: Electronic Word of Mouth (eWOM) and Consumer Purchasing Behaviour: A Study in Karachi's Digital Era -- 1. Introduction -- 1.1. Analytical Significance -- 1.2. Past Studies -- 2. Methodology -- 2.2. Designing Samples -- 2.3. Scope of the Study -- 3. Results and Discussion -- 4. Conclusion -- References -- Chapter 11: Promoting Healthy Lifestyle by Influencing Consumers' Online Food Choices: The Use of Digital Nudging -- Introduction -- Policies for Tackling Obesity -- Concept of Nudging -- Various Nudges and Their Advantages -- The Nuffield Council Intervention Ladder -- The 4P Framework -- The Era of Digital Nudging -- Digital Nudges: Ethical Considerations and Persuasion -- The Rise of Digital Nudging in IS Research -- Digital Nudging Versus Persuasive Technology: What's the Difference? -- Effectiveness of Digital Nudging -- Conclusion -- Discussion -- References |
| ctrlnum | (ZDB-30-PQE)EBC30907735 (ZDB-30-PAD)EBC30907735 (ZDB-89-EBL)EBL30907735 (OCoLC)1429722690 (DE-599)BVBBV049874881 |
| dewey-full | 658.8 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.8 |
| dewey-search | 658.8 |
| dewey-sort | 3658.8 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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Theoretical and Conceptual Frameworks -- 2.1. AI Defined -- 2.2. Types of AI -- 2.3. Narrow AI -- 2.4. Chatbots as an AI Application for Managing Customer Satisfaction -- 2.5. Customer Satisfaction Gaps -- 2.6. Conceptual Framework -- 3. Research Methodology -- 4. Presentation and Analysis -- 4.1. Levels of Econet Customers on the Use of Chatbots -- 4.2. Impact of Chatbots on Customer Service Convenience, Speed of Response, and Omnichannel Strategies -- 4.2.1. Correlation Between the Use of Chatbots and Customer Satisfaction -- 4.2.2. Regression Analysis of the Effect of the Use of Chatbots on Customer Satisfaction -- 5. Discussion and Interpretation -- 5. Conclusions and Recommendations -- 5.1.1. Levels of Econet Customers Before and After the Implementation of Chatbots -- 5.1.2. Effectiveness of Chatbots in Improving Customer Satisfaction -- 5.2. Implications -- 5.3. Recommendations -- References -- Chapter 4: Impact of COVID-19 on the Hospitality Industry: Thematic Analysis of Global Tweets -- 1. Introduction -- 2. Literature Review -- 3. Research Methodology -- 4. Findings -- 4.1. Location Analysis -- 4.2. Word Analysis, Text Search, and Thematic Analysis -- 4.2.1. Word Analysis -- 4.2.2. Text Search -- 4.2.3. Thematic Analysis -- 4.3. Sentiment Analysis, Word Cloud Analysis, and Statistical Analysis -- 4.3.1. Word Cloud Analysis -- 4.3.2. Statistical Analysis -- 5. Discussion and Conclusions -- References -- Chapter 5: A Bibliometric Analysis on Research Trends in Neuromarketing: Current Status and Future Directions -- 1. Introduction -- 2. Materials and Methods -- 2.1 Literature Search -- 2.2 Sampling -- 2.3 Data Analysis -- 3. Results -- 3.2 Journal Outcomes -- 3.3 Keyword Analysis -- 3.4 Journals Co-citation Analysis -- 3.5 Country Collaboration -- 3.6 Thematic Mapping -- 4. Conclusion -- References</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">Chapter 6: Understanding Acceptance and Continuous Intention of Mobile Wallet by LGBT Community Using SOR Model -- 1. Introduction -- 2. Literature Review and Development of Hypothesis -- 2.1. The PT and BI -- 2.2. The PEoU and BI -- 2.3. SI and BI -- 2.4. Satisfaction and BI -- 2.5. Continuous Intention -- 3. Research Methodology -- 3.2. Data Analysis and Results -- 4. Discussion and Conclusions -- 5. Implication -- 5.2. Managerial/Practical Implications -- 6. Limitations and Future Research Scope -- References -- Chapter 7: Factors for Sharing Economy Platforms in the Indian Context -- 1. Introduction -- 2. Literature Review -- 2.1. Sharing Economy -- 2.2. The Impact of Technology on CB -- 2.3. Proposed Conceptual Framework -- 3. Discussion -- 4. Conclusion -- References -- Chapter 8: Digital Marketing (DM): How Are Small Business Enterprises (SBEs) of Bhutan and Sikkim (India) Responding to It? -- 1. Introduction and Background of the Study -- 2. Literature Review -- 3. Research Methodology -- 4. Data Analysis -- 4.2. Correlation Analysis -- 5. Conclusions -- 6. Recommendations -- References -- Chapter 9: Impact of AI on Knowledge-based Marketing: A Study of B2B Markets -- 1. Introduction -- 2. Literature Review -- 3. Need for the Study -- 4. Methodology and Purpose of the Study -- 5. Conceptual Development and Findings -- 5.1. Element One of AI: Structured Data -- 5.2. Element Two of AI: Unstructured Data -- 5.3. Element Three of AI: Pre-processing -- 5.3.1. Ability to Comprehend Spoken Language -- 5.3.2. Computer-vision Processing -- 5.4. Element Four of AI: Main Processing -- 5.4.1. Problem-solving -- 5.4.2. Reasoning -- 5.4.3. Machine Learning -- 5.4.4. Information Storage -- 5.5. Element Fifth of AI: Knowledge -- 5.6. Element Sixth of AI: Information -- 5.7. Conceptual Framework -- 6. Practical Implications -- 6.1. Image Creation</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">6.2. Robotics -- 7. AI's Impact on B2B Marketers' Market Understanding -- 8. Discussion and Future Research Directions -- 8.1.1. Future Research Directions -- 8.2. Understanding of the User -- 8.2.1. Future Research Directions -- 8.3. Understanding of the Market -- 8.3.1. Future Research Directions -- 9. Conclusion -- References -- Chapter 10: Electronic Word of Mouth (eWOM) and Consumer Purchasing Behaviour: A Study in Karachi's Digital Era -- 1. Introduction -- 1.1. Analytical Significance -- 1.2. Past Studies -- 2. Methodology -- 2.2. Designing Samples -- 2.3. Scope of the Study -- 3. Results and Discussion -- 4. Conclusion -- References -- Chapter 11: Promoting Healthy Lifestyle by Influencing Consumers' Online Food Choices: The Use of Digital Nudging -- Introduction -- Policies for Tackling Obesity -- Concept of Nudging -- Various Nudges and Their Advantages -- The Nuffield Council Intervention Ladder -- The 4P Framework -- The Era of Digital Nudging -- Digital Nudges: Ethical Considerations and Persuasion -- The Rise of Digital Nudging in IS Research -- Digital Nudging Versus Persuasive Technology: What's the Difference? -- Effectiveness of Digital Nudging -- Conclusion -- Discussion -- References</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Readers will learn service quality, peer pressure, online reviewers' effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Internet marketing-Social aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Consumer behavior</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Soziale Software</subfield><subfield code="0">(DE-588)7550143-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Online-Marketing</subfield><subfield code="0">(DE-588)7706419-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Digitalisierung</subfield><subfield code="0">(DE-588)4123065-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Portal</subfield><subfield code="g">Internet</subfield><subfield code="0">(DE-588)4634625-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Verbraucherverhalten</subfield><subfield code="0">(DE-588)4062644-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Online-Marketing</subfield><subfield code="0">(DE-588)7706419-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Verbraucherverhalten</subfield><subfield code="0">(DE-588)4062644-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Digitalisierung</subfield><subfield code="0">(DE-588)4123065-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Portal</subfield><subfield code="g">Internet</subfield><subfield code="0">(DE-588)4634625-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Soziale Software</subfield><subfield code="0">(DE-588)7550143-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="5"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kansra, Pooja</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gupta, S. 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| id | DE-604.BV049874881 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-05T17:02:59Z |
| institution | BVB |
| isbn | 9781804553428 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035214339 |
| oclc_num | 1429722690 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (205 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Emerald Publishing Limited |
| record_format | marc |
| spelling | Singh, Nripendra Verfasser aut Digital Influence on Consumer Habits Marketing Challenges and Opportunities 1st ed Leeds Emerald Publishing Limited 2024 ©2024 1 Online-Ressource (205 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- List of Figures and Tables -- About the Contributors -- Chapter 1: Disruptive Artificial Intelligence: Augmenting Consumer Experience Through Chatbot Banking -- 1. Introduction -- 2. Literature Review -- 2.2. Chatbot and Chatbot Banking AI -- 2.3. Customer Experience -- 2.4. The Influence of Chatbot Banking on Customer Experience -- 2.5. Chatbot Banking and CX Related Theories -- 2.6. Conceptual Framework -- 2.6.1. Chatbot Banking's Reliability and Its Link to CX -- 2.6.2. Responsiveness of Chatbots and CX -- 2.6.3. Perceived Benefits of Chatbots and CX -- 2.6.4. Perceived Ease of Use of Chatbots and CX -- 3. Methodology -- 3.1. Model Specification -- 4. Data Analysis -- 4.1. Assessment of the Measurement Model -- 4.2. Unidimensionality -- 4.3. Convergent Validity -- 4.4. Discriminant Validity -- 4.5. Reliability -- 4.6. Hypotheses Testing -- 4.7. Discussion -- 5. Implications -- 6. Conclusions -- References -- Chapter 2: Perceived Service Quality and Customer Loyalty: A Study of Online Food Delivery Applications in Platform to Customer (P2C) Service Delivery in Sri Lanka -- Introduction -- Literature Review -- Uses and Gratification Theory -- Empirical Review -- OFDA Services in P2C Service Delivery Platforms -- Customer Loyalty -- Interaction Quality (Visual Design) -- Environment Quality (Navigational Design) -- Outcome Quality (Information Design) -- Delivery Quality -- Food Quality -- Methodology -- Data Analysis -- Discussion -- Conclusion, Managerial Implications, and Future Research Directions -- References -- Chapter 3: The Impact of Artificial Intelligence on Customer Satisfaction Levels in the Mobile Telephony Industry of Zimbabwe -- 1. Introduction -- 1.1. Contextual Setting -- 1.2. The Zimbabwe Telephony Industry and Customer Loyalty 2. Theoretical and Conceptual Frameworks -- 2.1. AI Defined -- 2.2. Types of AI -- 2.3. Narrow AI -- 2.4. Chatbots as an AI Application for Managing Customer Satisfaction -- 2.5. Customer Satisfaction Gaps -- 2.6. Conceptual Framework -- 3. Research Methodology -- 4. Presentation and Analysis -- 4.1. Levels of Econet Customers on the Use of Chatbots -- 4.2. Impact of Chatbots on Customer Service Convenience, Speed of Response, and Omnichannel Strategies -- 4.2.1. Correlation Between the Use of Chatbots and Customer Satisfaction -- 4.2.2. Regression Analysis of the Effect of the Use of Chatbots on Customer Satisfaction -- 5. Discussion and Interpretation -- 5. Conclusions and Recommendations -- 5.1.1. Levels of Econet Customers Before and After the Implementation of Chatbots -- 5.1.2. Effectiveness of Chatbots in Improving Customer Satisfaction -- 5.2. Implications -- 5.3. Recommendations -- References -- Chapter 4: Impact of COVID-19 on the Hospitality Industry: Thematic Analysis of Global Tweets -- 1. Introduction -- 2. Literature Review -- 3. Research Methodology -- 4. Findings -- 4.1. Location Analysis -- 4.2. Word Analysis, Text Search, and Thematic Analysis -- 4.2.1. Word Analysis -- 4.2.2. Text Search -- 4.2.3. Thematic Analysis -- 4.3. Sentiment Analysis, Word Cloud Analysis, and Statistical Analysis -- 4.3.1. Word Cloud Analysis -- 4.3.2. Statistical Analysis -- 5. Discussion and Conclusions -- References -- Chapter 5: A Bibliometric Analysis on Research Trends in Neuromarketing: Current Status and Future Directions -- 1. Introduction -- 2. Materials and Methods -- 2.1 Literature Search -- 2.2 Sampling -- 2.3 Data Analysis -- 3. Results -- 3.2 Journal Outcomes -- 3.3 Keyword Analysis -- 3.4 Journals Co-citation Analysis -- 3.5 Country Collaboration -- 3.6 Thematic Mapping -- 4. Conclusion -- References Chapter 6: Understanding Acceptance and Continuous Intention of Mobile Wallet by LGBT Community Using SOR Model -- 1. Introduction -- 2. Literature Review and Development of Hypothesis -- 2.1. The PT and BI -- 2.2. The PEoU and BI -- 2.3. SI and BI -- 2.4. Satisfaction and BI -- 2.5. Continuous Intention -- 3. Research Methodology -- 3.2. Data Analysis and Results -- 4. Discussion and Conclusions -- 5. Implication -- 5.2. Managerial/Practical Implications -- 6. Limitations and Future Research Scope -- References -- Chapter 7: Factors for Sharing Economy Platforms in the Indian Context -- 1. Introduction -- 2. Literature Review -- 2.1. Sharing Economy -- 2.2. The Impact of Technology on CB -- 2.3. Proposed Conceptual Framework -- 3. Discussion -- 4. Conclusion -- References -- Chapter 8: Digital Marketing (DM): How Are Small Business Enterprises (SBEs) of Bhutan and Sikkim (India) Responding to It? -- 1. Introduction and Background of the Study -- 2. Literature Review -- 3. Research Methodology -- 4. Data Analysis -- 4.2. Correlation Analysis -- 5. Conclusions -- 6. Recommendations -- References -- Chapter 9: Impact of AI on Knowledge-based Marketing: A Study of B2B Markets -- 1. Introduction -- 2. Literature Review -- 3. Need for the Study -- 4. Methodology and Purpose of the Study -- 5. Conceptual Development and Findings -- 5.1. Element One of AI: Structured Data -- 5.2. Element Two of AI: Unstructured Data -- 5.3. Element Three of AI: Pre-processing -- 5.3.1. Ability to Comprehend Spoken Language -- 5.3.2. Computer-vision Processing -- 5.4. Element Four of AI: Main Processing -- 5.4.1. Problem-solving -- 5.4.2. Reasoning -- 5.4.3. Machine Learning -- 5.4.4. Information Storage -- 5.5. Element Fifth of AI: Knowledge -- 5.6. Element Sixth of AI: Information -- 5.7. Conceptual Framework -- 6. Practical Implications -- 6.1. Image Creation 6.2. Robotics -- 7. AI's Impact on B2B Marketers' Market Understanding -- 8. Discussion and Future Research Directions -- 8.1.1. Future Research Directions -- 8.2. Understanding of the User -- 8.2.1. Future Research Directions -- 8.3. Understanding of the Market -- 8.3.1. Future Research Directions -- 9. Conclusion -- References -- Chapter 10: Electronic Word of Mouth (eWOM) and Consumer Purchasing Behaviour: A Study in Karachi's Digital Era -- 1. Introduction -- 1.1. Analytical Significance -- 1.2. Past Studies -- 2. Methodology -- 2.2. Designing Samples -- 2.3. Scope of the Study -- 3. Results and Discussion -- 4. Conclusion -- References -- Chapter 11: Promoting Healthy Lifestyle by Influencing Consumers' Online Food Choices: The Use of Digital Nudging -- Introduction -- Policies for Tackling Obesity -- Concept of Nudging -- Various Nudges and Their Advantages -- The Nuffield Council Intervention Ladder -- The 4P Framework -- The Era of Digital Nudging -- Digital Nudges: Ethical Considerations and Persuasion -- The Rise of Digital Nudging in IS Research -- Digital Nudging Versus Persuasive Technology: What's the Difference? -- Effectiveness of Digital Nudging -- Conclusion -- Discussion -- References Readers will learn service quality, peer pressure, online reviewers' effect in the digital environment to aid in understanding the various risks and challenges involved in the digital environment, with examples of changing business and consumer scenario case studies as a result of Digital Transformation Internet marketing-Social aspects Consumer behavior Soziale Software (DE-588)7550143-0 gnd rswk-swf Online-Marketing (DE-588)7706419-7 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Digitalisierung (DE-588)4123065-6 gnd rswk-swf Portal Internet (DE-588)4634625-9 gnd rswk-swf Verbraucherverhalten (DE-588)4062644-1 gnd rswk-swf Online-Marketing (DE-588)7706419-7 s Verbraucherverhalten (DE-588)4062644-1 s Digitalisierung (DE-588)4123065-6 s Portal Internet (DE-588)4634625-9 s Soziale Software (DE-588)7550143-0 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Kansra, Pooja Sonstige oth Gupta, S. L. Sonstige oth Erscheint auch als Druck-Ausgabe Singh, Nripendra Digital Influence on Consumer Habits Leeds : Emerald Publishing Limited,c2024 9781804553435 |
| spellingShingle | Singh, Nripendra Digital Influence on Consumer Habits Marketing Challenges and Opportunities Intro -- Half Title Page -- Title Page -- Copyright Page -- Contents -- List of Figures and Tables -- About the Contributors -- Chapter 1: Disruptive Artificial Intelligence: Augmenting Consumer Experience Through Chatbot Banking -- 1. Introduction -- 2. Literature Review -- 2.2. Chatbot and Chatbot Banking AI -- 2.3. Customer Experience -- 2.4. The Influence of Chatbot Banking on Customer Experience -- 2.5. Chatbot Banking and CX Related Theories -- 2.6. Conceptual Framework -- 2.6.1. Chatbot Banking's Reliability and Its Link to CX -- 2.6.2. Responsiveness of Chatbots and CX -- 2.6.3. Perceived Benefits of Chatbots and CX -- 2.6.4. Perceived Ease of Use of Chatbots and CX -- 3. Methodology -- 3.1. Model Specification -- 4. Data Analysis -- 4.1. Assessment of the Measurement Model -- 4.2. Unidimensionality -- 4.3. Convergent Validity -- 4.4. Discriminant Validity -- 4.5. Reliability -- 4.6. Hypotheses Testing -- 4.7. Discussion -- 5. Implications -- 6. Conclusions -- References -- Chapter 2: Perceived Service Quality and Customer Loyalty: A Study of Online Food Delivery Applications in Platform to Customer (P2C) Service Delivery in Sri Lanka -- Introduction -- Literature Review -- Uses and Gratification Theory -- Empirical Review -- OFDA Services in P2C Service Delivery Platforms -- Customer Loyalty -- Interaction Quality (Visual Design) -- Environment Quality (Navigational Design) -- Outcome Quality (Information Design) -- Delivery Quality -- Food Quality -- Methodology -- Data Analysis -- Discussion -- Conclusion, Managerial Implications, and Future Research Directions -- References -- Chapter 3: The Impact of Artificial Intelligence on Customer Satisfaction Levels in the Mobile Telephony Industry of Zimbabwe -- 1. Introduction -- 1.1. Contextual Setting -- 1.2. The Zimbabwe Telephony Industry and Customer Loyalty 2. Theoretical and Conceptual Frameworks -- 2.1. AI Defined -- 2.2. Types of AI -- 2.3. Narrow AI -- 2.4. Chatbots as an AI Application for Managing Customer Satisfaction -- 2.5. Customer Satisfaction Gaps -- 2.6. Conceptual Framework -- 3. Research Methodology -- 4. Presentation and Analysis -- 4.1. Levels of Econet Customers on the Use of Chatbots -- 4.2. Impact of Chatbots on Customer Service Convenience, Speed of Response, and Omnichannel Strategies -- 4.2.1. Correlation Between the Use of Chatbots and Customer Satisfaction -- 4.2.2. Regression Analysis of the Effect of the Use of Chatbots on Customer Satisfaction -- 5. Discussion and Interpretation -- 5. Conclusions and Recommendations -- 5.1.1. Levels of Econet Customers Before and After the Implementation of Chatbots -- 5.1.2. Effectiveness of Chatbots in Improving Customer Satisfaction -- 5.2. Implications -- 5.3. Recommendations -- References -- Chapter 4: Impact of COVID-19 on the Hospitality Industry: Thematic Analysis of Global Tweets -- 1. Introduction -- 2. Literature Review -- 3. Research Methodology -- 4. Findings -- 4.1. Location Analysis -- 4.2. Word Analysis, Text Search, and Thematic Analysis -- 4.2.1. Word Analysis -- 4.2.2. Text Search -- 4.2.3. Thematic Analysis -- 4.3. Sentiment Analysis, Word Cloud Analysis, and Statistical Analysis -- 4.3.1. Word Cloud Analysis -- 4.3.2. Statistical Analysis -- 5. Discussion and Conclusions -- References -- Chapter 5: A Bibliometric Analysis on Research Trends in Neuromarketing: Current Status and Future Directions -- 1. Introduction -- 2. Materials and Methods -- 2.1 Literature Search -- 2.2 Sampling -- 2.3 Data Analysis -- 3. Results -- 3.2 Journal Outcomes -- 3.3 Keyword Analysis -- 3.4 Journals Co-citation Analysis -- 3.5 Country Collaboration -- 3.6 Thematic Mapping -- 4. Conclusion -- References Chapter 6: Understanding Acceptance and Continuous Intention of Mobile Wallet by LGBT Community Using SOR Model -- 1. Introduction -- 2. Literature Review and Development of Hypothesis -- 2.1. The PT and BI -- 2.2. The PEoU and BI -- 2.3. SI and BI -- 2.4. Satisfaction and BI -- 2.5. Continuous Intention -- 3. Research Methodology -- 3.2. Data Analysis and Results -- 4. Discussion and Conclusions -- 5. Implication -- 5.2. Managerial/Practical Implications -- 6. Limitations and Future Research Scope -- References -- Chapter 7: Factors for Sharing Economy Platforms in the Indian Context -- 1. Introduction -- 2. Literature Review -- 2.1. Sharing Economy -- 2.2. The Impact of Technology on CB -- 2.3. Proposed Conceptual Framework -- 3. Discussion -- 4. Conclusion -- References -- Chapter 8: Digital Marketing (DM): How Are Small Business Enterprises (SBEs) of Bhutan and Sikkim (India) Responding to It? -- 1. Introduction and Background of the Study -- 2. Literature Review -- 3. Research Methodology -- 4. Data Analysis -- 4.2. Correlation Analysis -- 5. Conclusions -- 6. Recommendations -- References -- Chapter 9: Impact of AI on Knowledge-based Marketing: A Study of B2B Markets -- 1. Introduction -- 2. Literature Review -- 3. Need for the Study -- 4. Methodology and Purpose of the Study -- 5. Conceptual Development and Findings -- 5.1. Element One of AI: Structured Data -- 5.2. Element Two of AI: Unstructured Data -- 5.3. Element Three of AI: Pre-processing -- 5.3.1. Ability to Comprehend Spoken Language -- 5.3.2. Computer-vision Processing -- 5.4. Element Four of AI: Main Processing -- 5.4.1. Problem-solving -- 5.4.2. Reasoning -- 5.4.3. Machine Learning -- 5.4.4. Information Storage -- 5.5. Element Fifth of AI: Knowledge -- 5.6. Element Sixth of AI: Information -- 5.7. Conceptual Framework -- 6. Practical Implications -- 6.1. Image Creation 6.2. Robotics -- 7. AI's Impact on B2B Marketers' Market Understanding -- 8. Discussion and Future Research Directions -- 8.1.1. Future Research Directions -- 8.2. Understanding of the User -- 8.2.1. Future Research Directions -- 8.3. Understanding of the Market -- 8.3.1. Future Research Directions -- 9. Conclusion -- References -- Chapter 10: Electronic Word of Mouth (eWOM) and Consumer Purchasing Behaviour: A Study in Karachi's Digital Era -- 1. Introduction -- 1.1. Analytical Significance -- 1.2. Past Studies -- 2. Methodology -- 2.2. Designing Samples -- 2.3. Scope of the Study -- 3. Results and Discussion -- 4. Conclusion -- References -- Chapter 11: Promoting Healthy Lifestyle by Influencing Consumers' Online Food Choices: The Use of Digital Nudging -- Introduction -- Policies for Tackling Obesity -- Concept of Nudging -- Various Nudges and Their Advantages -- The Nuffield Council Intervention Ladder -- The 4P Framework -- The Era of Digital Nudging -- Digital Nudges: Ethical Considerations and Persuasion -- The Rise of Digital Nudging in IS Research -- Digital Nudging Versus Persuasive Technology: What's the Difference? -- Effectiveness of Digital Nudging -- Conclusion -- Discussion -- References Internet marketing-Social aspects Consumer behavior Soziale Software (DE-588)7550143-0 gnd Online-Marketing (DE-588)7706419-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Digitalisierung (DE-588)4123065-6 gnd Portal Internet (DE-588)4634625-9 gnd Verbraucherverhalten (DE-588)4062644-1 gnd |
| subject_GND | (DE-588)7550143-0 (DE-588)7706419-7 (DE-588)4033447-8 (DE-588)4123065-6 (DE-588)4634625-9 (DE-588)4062644-1 |
| title | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_auth | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_exact_search | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_full | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_fullStr | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_full_unstemmed | Digital Influence on Consumer Habits Marketing Challenges and Opportunities |
| title_short | Digital Influence on Consumer Habits |
| title_sort | digital influence on consumer habits marketing challenges and opportunities |
| title_sub | Marketing Challenges and Opportunities |
| topic | Internet marketing-Social aspects Consumer behavior Soziale Software (DE-588)7550143-0 gnd Online-Marketing (DE-588)7706419-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Digitalisierung (DE-588)4123065-6 gnd Portal Internet (DE-588)4634625-9 gnd Verbraucherverhalten (DE-588)4062644-1 gnd |
| topic_facet | Internet marketing-Social aspects Consumer behavior Soziale Software Online-Marketing Künstliche Intelligenz Digitalisierung Portal Internet Verbraucherverhalten |
| work_keys_str_mv | AT singhnripendra digitalinfluenceonconsumerhabitsmarketingchallengesandopportunities AT kansrapooja digitalinfluenceonconsumerhabitsmarketingchallengesandopportunities AT guptasl digitalinfluenceonconsumerhabitsmarketingchallengesandopportunities |