Data-driven intelligent business sustainability:
"Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision...
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: | "Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats.The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success. "-- |
| Beschreibung: | 34 PDFs (490 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369300503 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
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| 245 | 0 | 0 | |a Data-driven intelligent business sustainability |c Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c 2024. | |
| 300 | |a 34 PDFs (490 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. Evolving business intelligence on data integration, ETL procedures, and the power of predictive analytics -- Chapter 2. A case study on food waste reduction strategies in Dindigul restaurants using the food supply chain -- Chapter 3. The role of artificial intelligence (AI) in enhancing marketing and customer loyalty -- Chapter 4. Advancing and methodizing artificial intelligence (AI) and socially responsible efforts in real estate marketing -- Chapter 5. Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it -- Chapter 6. Investigating innovative social technology for elevating employee well-being in the business context -- Chapter 7. Data-driven, intelligent business learning about UPASI services and tea-growers' sustainability -- Chapter 8. An empirical study on challenges of working from home during COVID-19 on work-life domains in the education sector in Bengaluru -- Chapter 9. Leveraging MIS technologies for preserving India's cultural heritage on digitization, accessibility, and sustainability -- Chapter 10. A quality perspective and its importance to business competitiveness on human resource information systems -- Chapter 11. A study on management information systems and its role in decision making -- Chapter 12. A study of the analysis of the blockchain messaging apps market -- Chapter 13. Unleashing business potential: harnessing OpenStreetMap for intelligent growth and sustainability -- Chapter 14. An overview of the management of stakeholders following COVID-19 -- Chapter 15. Emerging digitalization trends in human resource management -- Chapter 16. Emotional intelligence and job performance in the IT sector on the mediating effect of occupational role stress -- Chapter 17. The role of sustainable leadership in ensuring long-term success -- Chapter 18. Wise apply on a machine learning-based college recommendation data system -- Chapter 19. The role of talent management to accomplish its principal purpose in human resource management -- Chapter 20. A perspective on cross-border aspects of insolvency and implications for resolution plans and recovery -- Chapter 21. A study on pink tax price disparity of gender variation with specific reference to comestible goods -- Chapter 22. Big data in driving greener social welfare and sustainable environmental management -- Chapter 23. Embracing the future of retail with virtual try-on technology -- Chapter 24. The role of renewable energy consumption in promoting sustainability and circular economy: a data-driven analysis -- Chapter 25. Meet industry needs in the big data era: data science curricula development -- Chapter 26. Empirical study on the impact of select green HRM dimensions on green innovation culture -- Chapter 27. An empirical analysis on issues faced by the users of Nykaa product. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats.The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success. "-- |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 12/14/2023). | ||
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Decision making. | |
| 650 | 0 | |a Production management. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Hadoussa, Slim, |e editor. | |
| 700 | 1 | |a Obaid, Ahmed J., |e editor. | |
| 700 | 1 | |a Rajest, S. Suman, |e editor. | |
| 700 | 1 | |a Regin, R., |e editor. | |
| 700 | 1 | |a Singh, Sonia, |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
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| contents | Chapter 1. Evolving business intelligence on data integration, ETL procedures, and the power of predictive analytics -- Chapter 2. A case study on food waste reduction strategies in Dindigul restaurants using the food supply chain -- Chapter 3. The role of artificial intelligence (AI) in enhancing marketing and customer loyalty -- Chapter 4. Advancing and methodizing artificial intelligence (AI) and socially responsible efforts in real estate marketing -- Chapter 5. Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it -- Chapter 6. Investigating innovative social technology for elevating employee well-being in the business context -- Chapter 7. Data-driven, intelligent business learning about UPASI services and tea-growers' sustainability -- Chapter 8. An empirical study on challenges of working from home during COVID-19 on work-life domains in the education sector in Bengaluru -- Chapter 9. Leveraging MIS technologies for preserving India's cultural heritage on digitization, accessibility, and sustainability -- Chapter 10. A quality perspective and its importance to business competitiveness on human resource information systems -- Chapter 11. A study on management information systems and its role in decision making -- Chapter 12. A study of the analysis of the blockchain messaging apps market -- Chapter 13. Unleashing business potential: harnessing OpenStreetMap for intelligent growth and sustainability -- Chapter 14. An overview of the management of stakeholders following COVID-19 -- Chapter 15. Emerging digitalization trends in human resource management -- Chapter 16. Emotional intelligence and job performance in the IT sector on the mediating effect of occupational role stress -- Chapter 17. The role of sustainable leadership in ensuring long-term success -- Chapter 18. Wise apply on a machine learning-based college recommendation data system -- Chapter 19. The role of talent management to accomplish its principal purpose in human resource management -- Chapter 20. A perspective on cross-border aspects of insolvency and implications for resolution plans and recovery -- Chapter 21. A study on pink tax price disparity of gender variation with specific reference to comestible goods -- Chapter 22. Big data in driving greener social welfare and sustainable environmental management -- Chapter 23. Embracing the future of retail with virtual try-on technology -- Chapter 24. The role of renewable energy consumption in promoting sustainability and circular economy: a data-driven analysis -- Chapter 25. Meet industry needs in the big data era: data science curricula development -- Chapter 26. Empirical study on the impact of select green HRM dimensions on green innovation culture -- Chapter 27. An empirical analysis on issues faced by the users of Nykaa product. |
| ctrlnum | (CaBNVSL)slc00005240 (OCoLC)1414667842 |
| dewey-full | 658.4/03 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/03 |
| dewey-search | 658.4/03 |
| dewey-sort | 3658.4 13 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00321109 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:52:00Z |
| institution | BVB |
| isbn | 9798369300503 |
| language | English |
| oclc_num | 1414667842 |
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| physical | 34 PDFs (490 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
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| publisher | IGI Global, |
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| spelling | Data-driven intelligent business sustainability Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2024. 34 PDFs (490 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Evolving business intelligence on data integration, ETL procedures, and the power of predictive analytics -- Chapter 2. A case study on food waste reduction strategies in Dindigul restaurants using the food supply chain -- Chapter 3. The role of artificial intelligence (AI) in enhancing marketing and customer loyalty -- Chapter 4. Advancing and methodizing artificial intelligence (AI) and socially responsible efforts in real estate marketing -- Chapter 5. Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it -- Chapter 6. Investigating innovative social technology for elevating employee well-being in the business context -- Chapter 7. Data-driven, intelligent business learning about UPASI services and tea-growers' sustainability -- Chapter 8. An empirical study on challenges of working from home during COVID-19 on work-life domains in the education sector in Bengaluru -- Chapter 9. Leveraging MIS technologies for preserving India's cultural heritage on digitization, accessibility, and sustainability -- Chapter 10. A quality perspective and its importance to business competitiveness on human resource information systems -- Chapter 11. A study on management information systems and its role in decision making -- Chapter 12. A study of the analysis of the blockchain messaging apps market -- Chapter 13. Unleashing business potential: harnessing OpenStreetMap for intelligent growth and sustainability -- Chapter 14. An overview of the management of stakeholders following COVID-19 -- Chapter 15. Emerging digitalization trends in human resource management -- Chapter 16. Emotional intelligence and job performance in the IT sector on the mediating effect of occupational role stress -- Chapter 17. The role of sustainable leadership in ensuring long-term success -- Chapter 18. Wise apply on a machine learning-based college recommendation data system -- Chapter 19. The role of talent management to accomplish its principal purpose in human resource management -- Chapter 20. A perspective on cross-border aspects of insolvency and implications for resolution plans and recovery -- Chapter 21. A study on pink tax price disparity of gender variation with specific reference to comestible goods -- Chapter 22. Big data in driving greener social welfare and sustainable environmental management -- Chapter 23. Embracing the future of retail with virtual try-on technology -- Chapter 24. The role of renewable energy consumption in promoting sustainability and circular economy: a data-driven analysis -- Chapter 25. Meet industry needs in the big data era: data science curricula development -- Chapter 26. Empirical study on the impact of select green HRM dimensions on green innovation culture -- Chapter 27. An empirical analysis on issues faced by the users of Nykaa product. Restricted to subscribers or individual electronic text purchasers. "Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats.The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success. "-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/14/2023). Big data. Decision making. Production management. Electronic books. Hadoussa, Slim, editor. Obaid, Ahmed J., editor. Rajest, S. Suman, editor. Regin, R., editor. Singh, Sonia, editor. IGI Global, publisher. Print version: 9798369300497 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0049-7 Volltext |
| spellingShingle | Data-driven intelligent business sustainability Chapter 1. Evolving business intelligence on data integration, ETL procedures, and the power of predictive analytics -- Chapter 2. A case study on food waste reduction strategies in Dindigul restaurants using the food supply chain -- Chapter 3. The role of artificial intelligence (AI) in enhancing marketing and customer loyalty -- Chapter 4. Advancing and methodizing artificial intelligence (AI) and socially responsible efforts in real estate marketing -- Chapter 5. Unlocking the power of artificial intelligence and machine learning in transforming marketing as we know it -- Chapter 6. Investigating innovative social technology for elevating employee well-being in the business context -- Chapter 7. Data-driven, intelligent business learning about UPASI services and tea-growers' sustainability -- Chapter 8. An empirical study on challenges of working from home during COVID-19 on work-life domains in the education sector in Bengaluru -- Chapter 9. Leveraging MIS technologies for preserving India's cultural heritage on digitization, accessibility, and sustainability -- Chapter 10. A quality perspective and its importance to business competitiveness on human resource information systems -- Chapter 11. A study on management information systems and its role in decision making -- Chapter 12. A study of the analysis of the blockchain messaging apps market -- Chapter 13. Unleashing business potential: harnessing OpenStreetMap for intelligent growth and sustainability -- Chapter 14. An overview of the management of stakeholders following COVID-19 -- Chapter 15. Emerging digitalization trends in human resource management -- Chapter 16. Emotional intelligence and job performance in the IT sector on the mediating effect of occupational role stress -- Chapter 17. The role of sustainable leadership in ensuring long-term success -- Chapter 18. Wise apply on a machine learning-based college recommendation data system -- Chapter 19. The role of talent management to accomplish its principal purpose in human resource management -- Chapter 20. A perspective on cross-border aspects of insolvency and implications for resolution plans and recovery -- Chapter 21. A study on pink tax price disparity of gender variation with specific reference to comestible goods -- Chapter 22. Big data in driving greener social welfare and sustainable environmental management -- Chapter 23. Embracing the future of retail with virtual try-on technology -- Chapter 24. The role of renewable energy consumption in promoting sustainability and circular economy: a data-driven analysis -- Chapter 25. Meet industry needs in the big data era: data science curricula development -- Chapter 26. Empirical study on the impact of select green HRM dimensions on green innovation culture -- Chapter 27. An empirical analysis on issues faced by the users of Nykaa product. Big data. Decision making. Production management. |
| title | Data-driven intelligent business sustainability |
| title_auth | Data-driven intelligent business sustainability |
| title_exact_search | Data-driven intelligent business sustainability |
| title_full | Data-driven intelligent business sustainability Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. |
| title_fullStr | Data-driven intelligent business sustainability Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. |
| title_full_unstemmed | Data-driven intelligent business sustainability Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. |
| title_short | Data-driven intelligent business sustainability |
| title_sort | data driven intelligent business sustainability |
| topic | Big data. Decision making. Production management. |
| topic_facet | Big data. Decision making. Production management. Electronic books. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0049-7 |
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