The future of e-commerce /:
"This book presents a futuristic perspective of e-commerce, covering the latest developments, applications, and technological trends. An analytical perspective of e-commerce is presented with examples of social media and web analytics. The role of artificial intelligence and machine learning me...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Nova Science Publishers,
[2022]
|
| Schriftenreihe: | Organization, Business and Management Ser.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book presents a futuristic perspective of e-commerce, covering the latest developments, applications, and technological trends. An analytical perspective of e-commerce is presented with examples of social media and web analytics. The role of artificial intelligence and machine learning methods are also explored. Case studies and examples from around the world are included to identify the customer-centric approaches of e-commerce models of the near future"-- |
| Beschreibung: | 1 online resource. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798886973587 |
Internformat
MARC
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| 245 | 0 | 4 | |a The future of e-commerce / |c Vikas Kumar, PhD (editor), Manju Lata, PhD (editor). |
| 263 | |a 2212 | ||
| 264 | 1 | |a New York : |b Nova Science Publishers, |c [2022] | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Organization, Business and Management Ser. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a "This book presents a futuristic perspective of e-commerce, covering the latest developments, applications, and technological trends. An analytical perspective of e-commerce is presented with examples of social media and web analytics. The role of artificial intelligence and machine learning methods are also explored. Case studies and examples from around the world are included to identify the customer-centric approaches of e-commerce models of the near future"-- |c Provided by publisher. | ||
| 588 | |a Description based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 505 | 0 | |a Intro -- Contents -- Preface -- Acknowledgements -- Chapter 1 -- Web Analytics: The Present and Future of E-Business -- Abstract -- Introduction -- Literature Review -- Web Design and User Interaction Efficiency -- Web Analytics Insight into E-Business -- List of the Most Popular Pages and Content -- Determine Who Your Customers Are -- Optimization of the Conversion Rate -- Boost the Impact of Advertising on Social Media -- Observe the Bounce Rate -- Marketing Campaigns May Be Tracked and Analyzed -- Tracking of Competitors -- Integration of Web Analytics with E-Commerce | |
| 505 | 8 | |a Forecasting Demand and Profitability -- Heatmaps -- To Drive the Promotion Plan, We Need to Identify Trends -- Pricing Price Elasticity -- For Merchants, Analytical Services -- Identification of Fraudulent Activities -- Personalisation -- Variable Costing -- Detection and Prevention of Financial Crimes -- Analytical Prediction -- Promotions That Are More Relevant to the Right Customers -- Visibility of the Supply Chain -- Innovations in New Products, Markets and Business Models -- Web Analytics Metrics -- Measuring and Defining Results -- Accurate Metrics -- Measurements for Defining Visitors | |
| 505 | 8 | |a Click-Through-Rate (CTR) -- Identifying the Demographics of a Site's Visitors Metrics -- Participation of Visitors Metrics -- Metrics for Conversion -- Conclusion -- References -- Chapter 2 -- Social Media Analytics for E-Business: Where Are We Heading? -- Abstract -- Introduction -- Social Media Analytics and E-Business -- Marketing -- Finance -- Operations -- Prominent SMA Tools -- Brand24 -- Facebook Ads Manager -- Analytic Edge -- Supermetrics -- NapoleonCat -- TapInfluence -- Snaplytics -- SproutSocial -- HubSpot -- BuzzSumo -- Keyhole -- Brandwatch -- Intellestra -- KPMGSpectrum | |
| 505 | 8 | |a PeopleSoft -- InforBirst -- HaloBI -- Conclusion -- References -- Chapter 3 -- Artificial Intelligence and E-Business -- Abstract -- Introduction -- AI Application for Customer Acquisition -- AI Applications for Customer Enhancement -- AI Application for Customer Retention -- Opportunities and Challenges -- Conclusion -- References -- Chapter 4 -- Machine Learning Applications in E-Commerce -- Abstract -- Introduction -- Machine Learning Algorithm Used in E-Commerce -- Machine Learning Roles in E-Commerce -- E-Commerce Sentiment Classification | |
| 505 | 8 | |a Product Recommendations in E-Commerce Using Machine Learning -- Conclusion -- References -- Chapter 5 -- Analysing Opportunities for Mobile Commerce -- Abstract -- Introduction -- Evolution of Mobile Commerce -- Features of Mobile Commerce -- Mobile Website -- Mobile Applications (Apps) -- Social Media -- Search Engine Marketing -- Display Marketing -- Video Streaming -- Short Message Services (SMS) Marketing -- E-Mail -- Framework for Marketing Mobile Commerce Businesses -- Mobile App Publishers -- E-Commerce/Mobile Commerce Marketers -- Mobile App Users -- Advertisement Platforms | |
| 650 | 0 | |a Electronic commerce. |0 http://id.loc.gov/authorities/subjects/sh96008434 | |
| 650 | 6 | |a Commerce électronique. | |
| 650 | 7 | |a Electronic commerce |2 fast | |
| 700 | 1 | |a Kumar, Vikas |c (Writer on industrial management), |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjyMGqFDYD6K7bXJ7Cpgcd |0 http://id.loc.gov/authorities/names/n2020059875 | |
| 700 | 1 | |a Lata, Manju, |e editor. | |
| 776 | 0 | 8 | |i Print version: |t Future of e-commerce |d New York : Nova Science Publishers, [2022] |z 9798886973358 |w (DLC) 2022049865 |
| 830 | 0 | |a Organization, Business and Management Ser. | |
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Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBU-on1350632272 |
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| adam_text | |
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| author2 | Kumar, Vikas (Writer on industrial management) Lata, Manju |
| author2_role | edt edt |
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| author_GND | http://id.loc.gov/authorities/names/n2020059875 |
| author_facet | Kumar, Vikas (Writer on industrial management) Lata, Manju |
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| callnumber-search | HF5548.32 |
| callnumber-sort | HF 45548.32 |
| callnumber-subject | HF - Commerce |
| collection | ZDB-4-EBU |
| contents | Intro -- Contents -- Preface -- Acknowledgements -- Chapter 1 -- Web Analytics: The Present and Future of E-Business -- Abstract -- Introduction -- Literature Review -- Web Design and User Interaction Efficiency -- Web Analytics Insight into E-Business -- List of the Most Popular Pages and Content -- Determine Who Your Customers Are -- Optimization of the Conversion Rate -- Boost the Impact of Advertising on Social Media -- Observe the Bounce Rate -- Marketing Campaigns May Be Tracked and Analyzed -- Tracking of Competitors -- Integration of Web Analytics with E-Commerce Forecasting Demand and Profitability -- Heatmaps -- To Drive the Promotion Plan, We Need to Identify Trends -- Pricing Price Elasticity -- For Merchants, Analytical Services -- Identification of Fraudulent Activities -- Personalisation -- Variable Costing -- Detection and Prevention of Financial Crimes -- Analytical Prediction -- Promotions That Are More Relevant to the Right Customers -- Visibility of the Supply Chain -- Innovations in New Products, Markets and Business Models -- Web Analytics Metrics -- Measuring and Defining Results -- Accurate Metrics -- Measurements for Defining Visitors Click-Through-Rate (CTR) -- Identifying the Demographics of a Site's Visitors Metrics -- Participation of Visitors Metrics -- Metrics for Conversion -- Conclusion -- References -- Chapter 2 -- Social Media Analytics for E-Business: Where Are We Heading? -- Abstract -- Introduction -- Social Media Analytics and E-Business -- Marketing -- Finance -- Operations -- Prominent SMA Tools -- Brand24 -- Facebook Ads Manager -- Analytic Edge -- Supermetrics -- NapoleonCat -- TapInfluence -- Snaplytics -- SproutSocial -- HubSpot -- BuzzSumo -- Keyhole -- Brandwatch -- Intellestra -- KPMGSpectrum PeopleSoft -- InforBirst -- HaloBI -- Conclusion -- References -- Chapter 3 -- Artificial Intelligence and E-Business -- Abstract -- Introduction -- AI Application for Customer Acquisition -- AI Applications for Customer Enhancement -- AI Application for Customer Retention -- Opportunities and Challenges -- Conclusion -- References -- Chapter 4 -- Machine Learning Applications in E-Commerce -- Abstract -- Introduction -- Machine Learning Algorithm Used in E-Commerce -- Machine Learning Roles in E-Commerce -- E-Commerce Sentiment Classification Product Recommendations in E-Commerce Using Machine Learning -- Conclusion -- References -- Chapter 5 -- Analysing Opportunities for Mobile Commerce -- Abstract -- Introduction -- Evolution of Mobile Commerce -- Features of Mobile Commerce -- Mobile Website -- Mobile Applications (Apps) -- Social Media -- Search Engine Marketing -- Display Marketing -- Video Streaming -- Short Message Services (SMS) Marketing -- E-Mail -- Framework for Marketing Mobile Commerce Businesses -- Mobile App Publishers -- E-Commerce/Mobile Commerce Marketers -- Mobile App Users -- Advertisement Platforms |
| ctrlnum | (OCoLC)1350632272 |
| dewey-full | 381/.142 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 381 - Commerce (Trade) |
| dewey-raw | 381/.142 |
| dewey-search | 381/.142 |
| dewey-sort | 3381 3142 |
| dewey-tens | 380 - Commerce, communications, transportation |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-4-EBU-on1350632272 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:49:41Z |
| institution | BVB |
| isbn | 9798886973587 |
| language | English |
| lccn | 2022049866 |
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| publishDate | 2022 |
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| publisher | Nova Science Publishers, |
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| series | Organization, Business and Management Ser. |
| series2 | Organization, Business and Management Ser. |
| spelling | The future of e-commerce / Vikas Kumar, PhD (editor), Manju Lata, PhD (editor). 2212 New York : Nova Science Publishers, [2022] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Organization, Business and Management Ser. Includes bibliographical references and index. "This book presents a futuristic perspective of e-commerce, covering the latest developments, applications, and technological trends. An analytical perspective of e-commerce is presented with examples of social media and web analytics. The role of artificial intelligence and machine learning methods are also explored. Case studies and examples from around the world are included to identify the customer-centric approaches of e-commerce models of the near future"-- Provided by publisher. Description based on print version record and CIP data provided by publisher; resource not viewed. Intro -- Contents -- Preface -- Acknowledgements -- Chapter 1 -- Web Analytics: The Present and Future of E-Business -- Abstract -- Introduction -- Literature Review -- Web Design and User Interaction Efficiency -- Web Analytics Insight into E-Business -- List of the Most Popular Pages and Content -- Determine Who Your Customers Are -- Optimization of the Conversion Rate -- Boost the Impact of Advertising on Social Media -- Observe the Bounce Rate -- Marketing Campaigns May Be Tracked and Analyzed -- Tracking of Competitors -- Integration of Web Analytics with E-Commerce Forecasting Demand and Profitability -- Heatmaps -- To Drive the Promotion Plan, We Need to Identify Trends -- Pricing Price Elasticity -- For Merchants, Analytical Services -- Identification of Fraudulent Activities -- Personalisation -- Variable Costing -- Detection and Prevention of Financial Crimes -- Analytical Prediction -- Promotions That Are More Relevant to the Right Customers -- Visibility of the Supply Chain -- Innovations in New Products, Markets and Business Models -- Web Analytics Metrics -- Measuring and Defining Results -- Accurate Metrics -- Measurements for Defining Visitors Click-Through-Rate (CTR) -- Identifying the Demographics of a Site's Visitors Metrics -- Participation of Visitors Metrics -- Metrics for Conversion -- Conclusion -- References -- Chapter 2 -- Social Media Analytics for E-Business: Where Are We Heading? -- Abstract -- Introduction -- Social Media Analytics and E-Business -- Marketing -- Finance -- Operations -- Prominent SMA Tools -- Brand24 -- Facebook Ads Manager -- Analytic Edge -- Supermetrics -- NapoleonCat -- TapInfluence -- Snaplytics -- SproutSocial -- HubSpot -- BuzzSumo -- Keyhole -- Brandwatch -- Intellestra -- KPMGSpectrum PeopleSoft -- InforBirst -- HaloBI -- Conclusion -- References -- Chapter 3 -- Artificial Intelligence and E-Business -- Abstract -- Introduction -- AI Application for Customer Acquisition -- AI Applications for Customer Enhancement -- AI Application for Customer Retention -- Opportunities and Challenges -- Conclusion -- References -- Chapter 4 -- Machine Learning Applications in E-Commerce -- Abstract -- Introduction -- Machine Learning Algorithm Used in E-Commerce -- Machine Learning Roles in E-Commerce -- E-Commerce Sentiment Classification Product Recommendations in E-Commerce Using Machine Learning -- Conclusion -- References -- Chapter 5 -- Analysing Opportunities for Mobile Commerce -- Abstract -- Introduction -- Evolution of Mobile Commerce -- Features of Mobile Commerce -- Mobile Website -- Mobile Applications (Apps) -- Social Media -- Search Engine Marketing -- Display Marketing -- Video Streaming -- Short Message Services (SMS) Marketing -- E-Mail -- Framework for Marketing Mobile Commerce Businesses -- Mobile App Publishers -- E-Commerce/Mobile Commerce Marketers -- Mobile App Users -- Advertisement Platforms Electronic commerce. http://id.loc.gov/authorities/subjects/sh96008434 Commerce électronique. Electronic commerce fast Kumar, Vikas (Writer on industrial management), editor. https://id.oclc.org/worldcat/entity/E39PCjyMGqFDYD6K7bXJ7Cpgcd http://id.loc.gov/authorities/names/n2020059875 Lata, Manju, editor. Print version: Future of e-commerce New York : Nova Science Publishers, [2022] 9798886973358 (DLC) 2022049865 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3395215 Volltext |
| spellingShingle | The future of e-commerce / Organization, Business and Management Ser. Intro -- Contents -- Preface -- Acknowledgements -- Chapter 1 -- Web Analytics: The Present and Future of E-Business -- Abstract -- Introduction -- Literature Review -- Web Design and User Interaction Efficiency -- Web Analytics Insight into E-Business -- List of the Most Popular Pages and Content -- Determine Who Your Customers Are -- Optimization of the Conversion Rate -- Boost the Impact of Advertising on Social Media -- Observe the Bounce Rate -- Marketing Campaigns May Be Tracked and Analyzed -- Tracking of Competitors -- Integration of Web Analytics with E-Commerce Forecasting Demand and Profitability -- Heatmaps -- To Drive the Promotion Plan, We Need to Identify Trends -- Pricing Price Elasticity -- For Merchants, Analytical Services -- Identification of Fraudulent Activities -- Personalisation -- Variable Costing -- Detection and Prevention of Financial Crimes -- Analytical Prediction -- Promotions That Are More Relevant to the Right Customers -- Visibility of the Supply Chain -- Innovations in New Products, Markets and Business Models -- Web Analytics Metrics -- Measuring and Defining Results -- Accurate Metrics -- Measurements for Defining Visitors Click-Through-Rate (CTR) -- Identifying the Demographics of a Site's Visitors Metrics -- Participation of Visitors Metrics -- Metrics for Conversion -- Conclusion -- References -- Chapter 2 -- Social Media Analytics for E-Business: Where Are We Heading? -- Abstract -- Introduction -- Social Media Analytics and E-Business -- Marketing -- Finance -- Operations -- Prominent SMA Tools -- Brand24 -- Facebook Ads Manager -- Analytic Edge -- Supermetrics -- NapoleonCat -- TapInfluence -- Snaplytics -- SproutSocial -- HubSpot -- BuzzSumo -- Keyhole -- Brandwatch -- Intellestra -- KPMGSpectrum PeopleSoft -- InforBirst -- HaloBI -- Conclusion -- References -- Chapter 3 -- Artificial Intelligence and E-Business -- Abstract -- Introduction -- AI Application for Customer Acquisition -- AI Applications for Customer Enhancement -- AI Application for Customer Retention -- Opportunities and Challenges -- Conclusion -- References -- Chapter 4 -- Machine Learning Applications in E-Commerce -- Abstract -- Introduction -- Machine Learning Algorithm Used in E-Commerce -- Machine Learning Roles in E-Commerce -- E-Commerce Sentiment Classification Product Recommendations in E-Commerce Using Machine Learning -- Conclusion -- References -- Chapter 5 -- Analysing Opportunities for Mobile Commerce -- Abstract -- Introduction -- Evolution of Mobile Commerce -- Features of Mobile Commerce -- Mobile Website -- Mobile Applications (Apps) -- Social Media -- Search Engine Marketing -- Display Marketing -- Video Streaming -- Short Message Services (SMS) Marketing -- E-Mail -- Framework for Marketing Mobile Commerce Businesses -- Mobile App Publishers -- E-Commerce/Mobile Commerce Marketers -- Mobile App Users -- Advertisement Platforms Electronic commerce. http://id.loc.gov/authorities/subjects/sh96008434 Commerce électronique. Electronic commerce fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008434 |
| title | The future of e-commerce / |
| title_auth | The future of e-commerce / |
| title_exact_search | The future of e-commerce / |
| title_full | The future of e-commerce / Vikas Kumar, PhD (editor), Manju Lata, PhD (editor). |
| title_fullStr | The future of e-commerce / Vikas Kumar, PhD (editor), Manju Lata, PhD (editor). |
| title_full_unstemmed | The future of e-commerce / Vikas Kumar, PhD (editor), Manju Lata, PhD (editor). |
| title_short | The future of e-commerce / |
| title_sort | future of e commerce |
| topic | Electronic commerce. http://id.loc.gov/authorities/subjects/sh96008434 Commerce électronique. Electronic commerce fast |
| topic_facet | Electronic commerce. Commerce électronique. Electronic commerce |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3395215 |
| work_keys_str_mv | AT kumarvikas thefutureofecommerce AT latamanju thefutureofecommerce AT kumarvikas futureofecommerce AT latamanju futureofecommerce |