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Data-driven decision making for long...
~
Hadoussa, Slim, (1980-)
Data-driven decision making for long-term business success
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Data-driven decision making for long-term business successSonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors.
其他作者:
Regin, R.,
出版者:
Hershey, Pennsylvania :IGI Global,2024.
面頁冊數:
1 online resource (xxxi, 484 p.)
標題:
Decision makingData processing.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2193-5
ISBN:
9798369321942$q(ebook)
Data-driven decision making for long-term business success
Data-driven decision making for long-term business success
[electronic resource] /Sonia Singh, S. Suman Rajest, Slim Hadoussa, Ahmed J. Obaid, R. Regin, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (xxxi, 484 p.)
Includes bibliographical references and index.
Chapter 1. Application of strategic human resource management models for organizational performance -- Chapter 2. Smart HR 4.0 with impact of technology advancement and industry 4.0 on HR practices -- Chapter 3. A comprehensive review on leveraging business intelligence for enhanced marketing analytics -- Chapter 4. The synergy of management information systems and predictive analytics for marketing -- Chapter 5. Celebrating lives beyond on unveiling the digital legacy manager for empowering personal heritage preservation -- Chapter 6. Empowering employees' enablement intelligently with data and realizing business excellence -- Chapter 7. Big data analytics and its impact on human resources management -- Chapter 8. Applications of artificial intelligence tools in higher education -- Chapter 9. Impact of the COVID-19 lockdown on employee engagement and efficiency -- Chapter 10. Synergizing efficiency and customer delight on empowering business with enterprise applications -- Chapter 11. Intelligent business sustainability on marketing system -- Chapter 12. Block overflow on frequently asked questions using blockchain -- Chapter 13. Rise of next generation entrepreneurs through innovative digital strategies in msmes during COVID-19 -- Chapter 14. Influence of government initiatives and information on Indian women entrepreneurial ventures -- Chapter 15. Overview of industry 5.0 on emerging technologies and humanand robot collaboration -- Chapter 16. Can firm size moderate navigating economic performance through strategic purchasing? -- Chapter 17. Effect of crude oil price variations on stocks with special reference to NSE -- Chapter 18. A study in rural areas of southern Karnataka districts in dairy farming challenges faced by the entrepreneurs -- Chapter 19. An analysis of credit management and bank lending practices in Developing countries -- Chapter 20. A comprehensive approachto exploring the data input for performance evaluation of vegetable distribution center -- Chapter 21. A study on total quality management (TQM) in warehouse management in Logistics Limited -- Chapter 22. A systematic study of central bankdigital currency: challenges, limitations, and its effects on the Indian economy -- Chapter 23. Tourist behaviour analysis using data analytics -- Chapter 24. A study on consumer preference and satisfaction towards various brands of hair shampoo in Ahmedabad City: consumer preference and satisfaction towards hair shampoo brands -- Chapter 25. Data-driven talent management practices for eco-innovation in state-owned enterprises -- Chapter 26. Data-driven decision making for achieving sustainability in apparel business value chain -- Chapter 27. Impact of intangible capital, organisational culture, and innovative capabilities on the organisational performance of the Indian IT industry.
"In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data.Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making."--
Mode of access: World Wide Web.
ISBN: 9798369321942$q(ebook)Subjects--Topical Terms:
235779
Decision making
--Data processing.Subjects--Index Terms:
Blockchain Technology.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HD30.23 / .D371584 2024eb
Dewey Class. No.: 658.4/038011
Data-driven decision making for long-term business success
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Chapter 1. Application of strategic human resource management models for organizational performance -- Chapter 2. Smart HR 4.0 with impact of technology advancement and industry 4.0 on HR practices -- Chapter 3. A comprehensive review on leveraging business intelligence for enhanced marketing analytics -- Chapter 4. The synergy of management information systems and predictive analytics for marketing -- Chapter 5. Celebrating lives beyond on unveiling the digital legacy manager for empowering personal heritage preservation -- Chapter 6. Empowering employees' enablement intelligently with data and realizing business excellence -- Chapter 7. Big data analytics and its impact on human resources management -- Chapter 8. Applications of artificial intelligence tools in higher education -- Chapter 9. Impact of the COVID-19 lockdown on employee engagement and efficiency -- Chapter 10. Synergizing efficiency and customer delight on empowering business with enterprise applications -- Chapter 11. Intelligent business sustainability on marketing system -- Chapter 12. Block overflow on frequently asked questions using blockchain -- Chapter 13. Rise of next generation entrepreneurs through innovative digital strategies in msmes during COVID-19 -- Chapter 14. Influence of government initiatives and information on Indian women entrepreneurial ventures -- Chapter 15. Overview of industry 5.0 on emerging technologies and humanand robot collaboration -- Chapter 16. Can firm size moderate navigating economic performance through strategic purchasing? -- Chapter 17. Effect of crude oil price variations on stocks with special reference to NSE -- Chapter 18. A study in rural areas of southern Karnataka districts in dairy farming challenges faced by the entrepreneurs -- Chapter 19. An analysis of credit management and bank lending practices in Developing countries -- Chapter 20. A comprehensive approachto exploring the data input for performance evaluation of vegetable distribution center -- Chapter 21. A study on total quality management (TQM) in warehouse management in Logistics Limited -- Chapter 22. A systematic study of central bankdigital currency: challenges, limitations, and its effects on the Indian economy -- Chapter 23. Tourist behaviour analysis using data analytics -- Chapter 24. A study on consumer preference and satisfaction towards various brands of hair shampoo in Ahmedabad City: consumer preference and satisfaction towards hair shampoo brands -- Chapter 25. Data-driven talent management practices for eco-innovation in state-owned enterprises -- Chapter 26. Data-driven decision making for achieving sustainability in apparel business value chain -- Chapter 27. Impact of intangible capital, organisational culture, and innovative capabilities on the organisational performance of the Indian IT industry.
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"In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data.Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making."--
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2193-5
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