AI and data analytics applications in organizational management:
"Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap be...
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: | DE-862 DE-863 |
| Zusammenfassung: | "Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking.AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change."-- |
| Beschreibung: | 28 PDFs (317 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9798369310595 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
| LEADER | 00000nam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-98-IGB-00326064 | ||
| 003 | IGIG | ||
| 005 | 20240209134413.0 | ||
| 006 | m eo d | ||
| 007 | cr bn||||m|||a | ||
| 008 | 240209s2024 pau fob 001 0 eng d | ||
| 020 | |a 9798369310595 |q PDF | ||
| 020 | |z 9798369310588 |q print | ||
| 024 | 7 | |a 10.4018/979-8-3693-1058-8 |2 doi | |
| 035 | |a (CaBNVSL)slc00005528 | ||
| 035 | |a (OCoLC)1420825147 | ||
| 040 | |a CaBNVSL |b eng |e rda |c CaBNVSL |d CaBNVSL | ||
| 050 | 4 | |a HD30.215 |b .A33 2024e | |
| 082 | 7 | |a 658.4/033 |2 23 | |
| 245 | 0 | 0 | |a AI and data analytics applications in organizational management |c Tereza Raquel Merlo, editor. |
| 246 | 3 | |a Artificial intelligence and data analytics applications in organizational management | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 28 PDFs (317 Seiten) | ||
| 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 Section 1. Foundations of artificial intelligence and data analytics: a data-driven approach. Chapter 1. Foundations of artificial intelligence and the ever-evolving technological landscape in business ; Chapter 2. AI-driven data analytics in information sciences and organizational management -- Section 2. Artificial intelligence in knowledge engineering and management: (re)shaping the knowledge landscape and fostering innovation. Chapter 3. Artificial intelligence, knowledge engineering, and management ; Chapter 4. Knowledge management tools for reducing the learning curve: a case study ; Chapter 5. Driving innovation ecosystem transformation via digital platforms and knowledge co-creation -- Section 3. Intersection of business intelligence and artificial intelligence on multiple domains. Chapter 6. Creating business process intelligence through value network analysis: a tagging-based approach ; Chapter 7. Creating an information governance program at a college to ultimately implement artificial intelligence, predictive analytics, and prescriptive analytics ; Chapter 8. AI and data analytics for market research and competitive intelligence ; Chapter 9. Artificial intelligence in chess-playing automata: a paradigm for the quiescence phase of a-[Beta] search ; Chapter 10. Smart tourism narratives: maturity matrix and digital transformation -- Section 4. Artificial intelligence prompting digital transformation: ethics, robotics, machine learning, and new trends. Chapter 11. Understanding the ethical and social consequences of data analytics for organizational management in the age of AI: accounting ethics perspective ; Chapter 12. Intelligent industry 4.0: artificial intelligence and robotic process automation as tendsetters. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking.AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change."-- |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 02/09/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Management |x Data processing. | |
| 650 | 0 | |a Management |x Statistical methods. | |
| 653 | |a Artificial Intelligence. | ||
| 653 | |a Data Analytics. | ||
| 653 | |a Ethical Considerations. | ||
| 653 | |a Interdisciplinary Collaboration. | ||
| 653 | |a Organizational Management. | ||
| 653 | |a Practical Applications. | ||
| 653 | |a Rapid Evolution. | ||
| 653 | |a Responsible Innovation. | ||
| 653 | |a Transformative Power. | ||
| 653 | |a Unleashing Potential. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Merlo, Tereza Raquel |d 1972- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369310588 |
| 966 | 4 | 0 | |l DE-862 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1058-8 |3 Volltext |
| 966 | 4 | 0 | |l DE-863 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-1058-8 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-862 | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00326064 |
|---|---|
| _version_ | 1826942602386079744 |
| adam_text | |
| any_adam_object | |
| author2 | Merlo, Tereza Raquel 1972- |
| author2_role | edt |
| author2_variant | t r m tr trm |
| author_facet | Merlo, Tereza Raquel 1972- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | H - Social Science |
| callnumber-label | HD30 |
| callnumber-raw | HD30.215 .A33 2024e |
| callnumber-search | HD30.215 .A33 2024e |
| callnumber-sort | HD 230.215 A33 42024E |
| callnumber-subject | HD - Industries, Land Use, Labor |
| collection | ZDB-98-IGB |
| contents | Section 1. Foundations of artificial intelligence and data analytics: a data-driven approach. Chapter 1. Foundations of artificial intelligence and the ever-evolving technological landscape in business ; Chapter 2. AI-driven data analytics in information sciences and organizational management -- Section 2. Artificial intelligence in knowledge engineering and management: (re)shaping the knowledge landscape and fostering innovation. Chapter 3. Artificial intelligence, knowledge engineering, and management ; Chapter 4. Knowledge management tools for reducing the learning curve: a case study ; Chapter 5. Driving innovation ecosystem transformation via digital platforms and knowledge co-creation -- Section 3. Intersection of business intelligence and artificial intelligence on multiple domains. Chapter 6. Creating business process intelligence through value network analysis: a tagging-based approach ; Chapter 7. Creating an information governance program at a college to ultimately implement artificial intelligence, predictive analytics, and prescriptive analytics ; Chapter 8. AI and data analytics for market research and competitive intelligence ; Chapter 9. Artificial intelligence in chess-playing automata: a paradigm for the quiescence phase of a-[Beta] search ; Chapter 10. Smart tourism narratives: maturity matrix and digital transformation -- Section 4. Artificial intelligence prompting digital transformation: ethics, robotics, machine learning, and new trends. Chapter 11. Understanding the ethical and social consequences of data analytics for organizational management in the age of AI: accounting ethics perspective ; Chapter 12. Intelligent industry 4.0: artificial intelligence and robotic process automation as tendsetters. |
| ctrlnum | (CaBNVSL)slc00005528 (OCoLC)1420825147 |
| dewey-full | 658.4/033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| 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>05299nam a2200577 i 4500</leader><controlfield tag="001">ZDB-98-IGB-00326064</controlfield><controlfield tag="003">IGIG</controlfield><controlfield tag="005">20240209134413.0</controlfield><controlfield tag="006">m eo d </controlfield><controlfield tag="007">cr bn||||m|||a</controlfield><controlfield tag="008">240209s2024 pau fob 001 0 eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798369310595</subfield><subfield code="q">PDF</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798369310588</subfield><subfield code="q">print</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/979-8-3693-1058-8</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CaBNVSL)slc00005528</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1420825147</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">HD30.215</subfield><subfield code="b">.A33 2024e</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">658.4/033</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">AI and data analytics applications in organizational management </subfield><subfield code="c">Tereza Raquel Merlo, editor.</subfield></datafield><datafield tag="246" ind1="3" ind2=" "><subfield code="a">Artificial intelligence and data analytics applications in organizational management</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">28 PDFs (317 Seiten)</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">Section 1. Foundations of artificial intelligence and data analytics: a data-driven approach. Chapter 1. Foundations of artificial intelligence and the ever-evolving technological landscape in business ; Chapter 2. AI-driven data analytics in information sciences and organizational management -- Section 2. Artificial intelligence in knowledge engineering and management: (re)shaping the knowledge landscape and fostering innovation. Chapter 3. Artificial intelligence, knowledge engineering, and management ; Chapter 4. Knowledge management tools for reducing the learning curve: a case study ; Chapter 5. Driving innovation ecosystem transformation via digital platforms and knowledge co-creation -- Section 3. Intersection of business intelligence and artificial intelligence on multiple domains. Chapter 6. Creating business process intelligence through value network analysis: a tagging-based approach ; Chapter 7. Creating an information governance program at a college to ultimately implement artificial intelligence, predictive analytics, and prescriptive analytics ; Chapter 8. AI and data analytics for market research and competitive intelligence ; Chapter 9. Artificial intelligence in chess-playing automata: a paradigm for the quiescence phase of a-[Beta] search ; Chapter 10. Smart tourism narratives: maturity matrix and digital transformation -- Section 4. Artificial intelligence prompting digital transformation: ethics, robotics, machine learning, and new trends. Chapter 11. Understanding the ethical and social consequences of data analytics for organizational management in the age of AI: accounting ethics perspective ; Chapter 12. Intelligent industry 4.0: artificial intelligence and robotic process automation as tendsetters.</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">"Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking.AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change."--</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 02/09/2024).</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Management</subfield><subfield code="x">Data processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Management</subfield><subfield code="x">Statistical methods.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Data Analytics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ethical Considerations.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Interdisciplinary Collaboration.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Organizational Management.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Practical Applications.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Rapid Evolution.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Responsible Innovation.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Transformative Power.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Unleashing Potential.</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Electronic books.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Merlo, Tereza Raquel</subfield><subfield code="d">1972-</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">9798369310588</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-862</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=10.4018/979-8-3693-1058-8</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-863</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=10.4018/979-8-3693-1058-8</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-862</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-00326064 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:37Z |
| institution | BVB |
| isbn | 9798369310595 |
| language | English |
| oclc_num | 1420825147 |
| open_access_boolean | |
| owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 28 PDFs (317 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | IGI Global |
| record_format | marc |
| spelling | AI and data analytics applications in organizational management Tereza Raquel Merlo, editor. Artificial intelligence and data analytics applications in organizational management Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 28 PDFs (317 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Section 1. Foundations of artificial intelligence and data analytics: a data-driven approach. Chapter 1. Foundations of artificial intelligence and the ever-evolving technological landscape in business ; Chapter 2. AI-driven data analytics in information sciences and organizational management -- Section 2. Artificial intelligence in knowledge engineering and management: (re)shaping the knowledge landscape and fostering innovation. Chapter 3. Artificial intelligence, knowledge engineering, and management ; Chapter 4. Knowledge management tools for reducing the learning curve: a case study ; Chapter 5. Driving innovation ecosystem transformation via digital platforms and knowledge co-creation -- Section 3. Intersection of business intelligence and artificial intelligence on multiple domains. Chapter 6. Creating business process intelligence through value network analysis: a tagging-based approach ; Chapter 7. Creating an information governance program at a college to ultimately implement artificial intelligence, predictive analytics, and prescriptive analytics ; Chapter 8. AI and data analytics for market research and competitive intelligence ; Chapter 9. Artificial intelligence in chess-playing automata: a paradigm for the quiescence phase of a-[Beta] search ; Chapter 10. Smart tourism narratives: maturity matrix and digital transformation -- Section 4. Artificial intelligence prompting digital transformation: ethics, robotics, machine learning, and new trends. Chapter 11. Understanding the ethical and social consequences of data analytics for organizational management in the age of AI: accounting ethics perspective ; Chapter 12. Intelligent industry 4.0: artificial intelligence and robotic process automation as tendsetters. Restricted to subscribers or individual electronic text purchasers. "Within information sciences and organizational management, a pressing challenge emerges; How can we harness the transformative power of artificial intelligence (AI) and data analytics? As industries grapple with a deluge of data and the imperative to make informed decisions swiftly, the gap between data collection and actionable insights widens. Professionals in various sectors are in a race to unlock AI's full potential to drive operational efficiency, enhance decision-making, and gain a competitive edge. However, navigating this intricate terrain, laden with ethical considerations and interdisciplinary complexity, has proven to be a formidable undertaking.AI and Data Analytics Applications in Organizational Management, combines rigorous scholarship with practicality. It traverses the spectrum from theoretical foundations to real-world applications, making it indispensable for those seeking to implement AI-driven data analytics in their organizations. Moreover, it delves into the ethical and societal dimensions of this revolution, ensuring that the journey toward innovation is paved with responsible considerations. For researchers, scholars, and practitioners yearning to unleash the potential of AI in organizational management, this book is the key to not only understanding the landscape but also charting a course toward transformative change."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/09/2024). Artificial intelligence. Management Data processing. Management Statistical methods. Artificial Intelligence. Data Analytics. Ethical Considerations. Interdisciplinary Collaboration. Organizational Management. Practical Applications. Rapid Evolution. Responsible Innovation. Transformative Power. Unleashing Potential. Electronic books. Merlo, Tereza Raquel 1972- editor. IGI Global, publisher. Print version: 9798369310588 |
| spellingShingle | AI and data analytics applications in organizational management Section 1. Foundations of artificial intelligence and data analytics: a data-driven approach. Chapter 1. Foundations of artificial intelligence and the ever-evolving technological landscape in business ; Chapter 2. AI-driven data analytics in information sciences and organizational management -- Section 2. Artificial intelligence in knowledge engineering and management: (re)shaping the knowledge landscape and fostering innovation. Chapter 3. Artificial intelligence, knowledge engineering, and management ; Chapter 4. Knowledge management tools for reducing the learning curve: a case study ; Chapter 5. Driving innovation ecosystem transformation via digital platforms and knowledge co-creation -- Section 3. Intersection of business intelligence and artificial intelligence on multiple domains. Chapter 6. Creating business process intelligence through value network analysis: a tagging-based approach ; Chapter 7. Creating an information governance program at a college to ultimately implement artificial intelligence, predictive analytics, and prescriptive analytics ; Chapter 8. AI and data analytics for market research and competitive intelligence ; Chapter 9. Artificial intelligence in chess-playing automata: a paradigm for the quiescence phase of a-[Beta] search ; Chapter 10. Smart tourism narratives: maturity matrix and digital transformation -- Section 4. Artificial intelligence prompting digital transformation: ethics, robotics, machine learning, and new trends. Chapter 11. Understanding the ethical and social consequences of data analytics for organizational management in the age of AI: accounting ethics perspective ; Chapter 12. Intelligent industry 4.0: artificial intelligence and robotic process automation as tendsetters. Artificial intelligence. Management Data processing. Management Statistical methods. |
| title | AI and data analytics applications in organizational management |
| title_alt | Artificial intelligence and data analytics applications in organizational management |
| title_auth | AI and data analytics applications in organizational management |
| title_exact_search | AI and data analytics applications in organizational management |
| title_full | AI and data analytics applications in organizational management Tereza Raquel Merlo, editor. |
| title_fullStr | AI and data analytics applications in organizational management Tereza Raquel Merlo, editor. |
| title_full_unstemmed | AI and data analytics applications in organizational management Tereza Raquel Merlo, editor. |
| title_short | AI and data analytics applications in organizational management |
| title_sort | ai and data analytics applications in organizational management |
| topic | Artificial intelligence. Management Data processing. Management Statistical methods. |
| topic_facet | Artificial intelligence. Management Data processing. Management Statistical methods. Electronic books. |
| work_keys_str_mv | AT merloterezaraquel aianddataanalyticsapplicationsinorganizationalmanagement AT igiglobal aianddataanalyticsapplicationsinorganizationalmanagement AT merloterezaraquel artificialintelligenceanddataanalyticsapplicationsinorganizationalmanagement AT igiglobal artificialintelligenceanddataanalyticsapplicationsinorganizationalmanagement |