Big Data Analytics in Supply Chain Management: Theory and Applications
Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis -- 1.1 Introduction -- 1.2 Analysis -- 1.2.1 Data Collection -- 1.3 Sci...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Milton
Taylor & Francis Group
2020
|
| Subjects: | |
| Online Access: | FHR01 https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6401873 |
| Summary: | Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis -- 1.1 Introduction -- 1.2 Analysis -- 1.2.1 Data Collection -- 1.3 Scientometric Analysis -- 1.3.1 An Analysis on Keywords -- 1.3.2 A Short Analysis on Countries and Affiliations -- 1.3.3 Co-author Analysis -- 1.3.4 An Analysis on Sources -- 1.3.5 Co-citation Analysis -- 1.3 Discussion and Conclusion -- References -- Chapter 2 Supply Chain Analytics Technology for Big Data -- 2.1 Introduction -- 2.1.1 Introduction to Supply Chain Analytics Technology -- 2.1.2 Necessity for Supply Chain Analytics for Big Data -- 2.2 Features of Supply Chain Analytics -- 2.3 Opportunities and Applications for Supply Chain Analytics -- 2.3.1 Opportunities for Supply Chain Analytics -- 2.3.2 Process Specific applications of Big Data Analytics -- 2.4 Tools for Supply Chain Analytics -- 2.5 Supply Chain Analytics Methods -- 2.5.1 Descriptive Analytics -- 2.5.2 Predictive Analytics -- 2.5.3 Prescriptive Analytics -- 2.6 Supply Chain Challenges in Adopting Big Data Analytics -- 2.7 Future of Supply Chain Analytics -- 2.8 Conclusion -- References -- Chapter 3 Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method -- 3.1 Introduction to Big Data Analytics -- 3.2 Barriers to BDA: Background -- 3.3 Methodology -- 3.3.1 The Steps of HBWM -- 3.3.2 Determining the Consistency Rate -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- Chapter 4 Big Data in Procurement 4.0: Critical Success Factors and Solutions -- 4.1 Introduction -- 4.2 Macroenvironment -- 4.3 Literature Review -- 4.4 Methodology -- 4.5 Critical Success Factors for Procurement 4.0 -- 4.5.1 Cybernetics |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 online resource (211 pages) |
| ISBN: | 9781000326932 9780367816384 |
Staff View
MARC
| LEADER | 00000nmm a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV047217623 | ||
| 003 | DE-604 | ||
| 005 | 20210401 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210329s2020 |||| o||u| ||||||eng d | ||
| 020 | |a 9781000326932 |9 978-1-00-032693-2 | ||
| 020 | |a 9780367816384 |9 978-0-367-81638-4 | ||
| 035 | |a (OCoLC)1245333416 | ||
| 035 | |a (DE-599)KEP059995823 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-898 | ||
| 100 | 1 | |a Rahimi, Iman |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Big Data Analytics in Supply Chain Management |b Theory and Applications |
| 264 | 1 | |a Milton |b Taylor & Francis Group |c 2020 | |
| 300 | |a 1 online resource (211 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 520 | 3 | |a Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis -- 1.1 Introduction -- 1.2 Analysis -- 1.2.1 Data Collection -- 1.3 Scientometric Analysis -- 1.3.1 An Analysis on Keywords -- 1.3.2 A Short Analysis on Countries and Affiliations -- 1.3.3 Co-author Analysis -- 1.3.4 An Analysis on Sources -- 1.3.5 Co-citation Analysis -- 1.3 Discussion and Conclusion -- References -- Chapter 2 Supply Chain Analytics Technology for Big Data -- 2.1 Introduction -- 2.1.1 Introduction to Supply Chain Analytics Technology -- 2.1.2 Necessity for Supply Chain Analytics for Big Data -- 2.2 Features of Supply Chain Analytics -- 2.3 Opportunities and Applications for Supply Chain Analytics -- 2.3.1 Opportunities for Supply Chain Analytics -- 2.3.2 Process Specific applications of Big Data Analytics -- 2.4 Tools for Supply Chain Analytics -- 2.5 Supply Chain Analytics Methods -- 2.5.1 Descriptive Analytics -- 2.5.2 Predictive Analytics -- 2.5.3 Prescriptive Analytics -- 2.6 Supply Chain Challenges in Adopting Big Data Analytics -- 2.7 Future of Supply Chain Analytics -- 2.8 Conclusion -- References -- Chapter 3 Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method -- 3.1 Introduction to Big Data Analytics -- 3.2 Barriers to BDA: Background -- 3.3 Methodology -- 3.3.1 The Steps of HBWM -- 3.3.2 Determining the Consistency Rate -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- Chapter 4 Big Data in Procurement 4.0: Critical Success Factors and Solutions -- 4.1 Introduction -- 4.2 Macroenvironment -- 4.3 Literature Review -- 4.4 Methodology -- 4.5 Critical Success Factors for Procurement 4.0 -- 4.5.1 Cybernetics | |
| 653 | 0 | |a Electronic books | |
| 700 | 1 | |a Gandomi, Amir H. |4 ctb | |
| 700 | 1 | |a Fong, Simon James |4 ctb | |
| 700 | 1 | |a Ülkü, M. Ali |4 ctb | |
| 856 | 4 | 0 | |m X:EBC |u https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6401873 |x Aggregator |
| 912 | |a ZDB-30-PQE |a ZDB-7-TFC | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032622307 | ||
| 966 | e | |u https://www.taylorfrancis.com/books/9780367816384 |l FHR01 |p ZDB-7-TFC |q FHR_Einzelkauf |x Verlag |3 Volltext | |
Record in the Search Index
| _version_ | 1804182336733970432 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Rahimi, Iman |
| author2 | Gandomi, Amir H. Fong, Simon James Ülkü, M. Ali |
| author2_role | ctb ctb ctb |
| author2_variant | a h g ah ahg s j f sj sjf m a ü ma maü |
| author_facet | Rahimi, Iman Gandomi, Amir H. Fong, Simon James Ülkü, M. Ali |
| author_role | aut |
| author_sort | Rahimi, Iman |
| author_variant | i r ir |
| building | Verbundindex |
| bvnumber | BV047217623 |
| collection | ZDB-30-PQE ZDB-7-TFC |
| ctrlnum | (OCoLC)1245333416 (DE-599)KEP059995823 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03175nmm a22003731c 4500</leader><controlfield tag="001">BV047217623</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210401 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210329s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781000326932</subfield><subfield code="9">978-1-00-032693-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780367816384</subfield><subfield code="9">978-0-367-81638-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1245333416</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP059995823</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-898</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Rahimi, Iman</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big Data Analytics in Supply Chain Management</subfield><subfield code="b">Theory and Applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Milton</subfield><subfield code="b">Taylor & Francis Group</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (211 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis -- 1.1 Introduction -- 1.2 Analysis -- 1.2.1 Data Collection -- 1.3 Scientometric Analysis -- 1.3.1 An Analysis on Keywords -- 1.3.2 A Short Analysis on Countries and Affiliations -- 1.3.3 Co-author Analysis -- 1.3.4 An Analysis on Sources -- 1.3.5 Co-citation Analysis -- 1.3 Discussion and Conclusion -- References -- Chapter 2 Supply Chain Analytics Technology for Big Data -- 2.1 Introduction -- 2.1.1 Introduction to Supply Chain Analytics Technology -- 2.1.2 Necessity for Supply Chain Analytics for Big Data -- 2.2 Features of Supply Chain Analytics -- 2.3 Opportunities and Applications for Supply Chain Analytics -- 2.3.1 Opportunities for Supply Chain Analytics -- 2.3.2 Process Specific applications of Big Data Analytics -- 2.4 Tools for Supply Chain Analytics -- 2.5 Supply Chain Analytics Methods -- 2.5.1 Descriptive Analytics -- 2.5.2 Predictive Analytics -- 2.5.3 Prescriptive Analytics -- 2.6 Supply Chain Challenges in Adopting Big Data Analytics -- 2.7 Future of Supply Chain Analytics -- 2.8 Conclusion -- References -- Chapter 3 Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method -- 3.1 Introduction to Big Data Analytics -- 3.2 Barriers to BDA: Background -- 3.3 Methodology -- 3.3.1 The Steps of HBWM -- 3.3.2 Determining the Consistency Rate -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- Chapter 4 Big Data in Procurement 4.0: Critical Success Factors and Solutions -- 4.1 Introduction -- 4.2 Macroenvironment -- 4.3 Literature Review -- 4.4 Methodology -- 4.5 Critical Success Factors for Procurement 4.0 -- 4.5.1 Cybernetics</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electronic books</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gandomi, Amir H.</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fong, Simon James</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ülkü, M. Ali</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="m">X:EBC</subfield><subfield code="u">https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6401873</subfield><subfield code="x">Aggregator</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-7-TFC</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032622307</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://www.taylorfrancis.com/books/9780367816384</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-7-TFC</subfield><subfield code="q">FHR_Einzelkauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047217623 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:56:16Z |
| indexdate | 2024-07-10T09:05:56Z |
| institution | BVB |
| isbn | 9781000326932 9780367816384 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032622307 |
| oclc_num | 1245333416 |
| open_access_boolean | |
| owner | DE-898 DE-BY-UBR |
| owner_facet | DE-898 DE-BY-UBR |
| physical | 1 online resource (211 pages) |
| psigel | ZDB-30-PQE ZDB-7-TFC ZDB-7-TFC FHR_Einzelkauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Taylor & Francis Group |
| record_format | marc |
| spelling | Rahimi, Iman Verfasser aut Big Data Analytics in Supply Chain Management Theory and Applications Milton Taylor & Francis Group 2020 1 online resource (211 pages) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Acknowledgments -- Editors -- Contributors -- Chapter 1 Big Data Analytics in Supply Chain Management: A Scientometric Analysis -- 1.1 Introduction -- 1.2 Analysis -- 1.2.1 Data Collection -- 1.3 Scientometric Analysis -- 1.3.1 An Analysis on Keywords -- 1.3.2 A Short Analysis on Countries and Affiliations -- 1.3.3 Co-author Analysis -- 1.3.4 An Analysis on Sources -- 1.3.5 Co-citation Analysis -- 1.3 Discussion and Conclusion -- References -- Chapter 2 Supply Chain Analytics Technology for Big Data -- 2.1 Introduction -- 2.1.1 Introduction to Supply Chain Analytics Technology -- 2.1.2 Necessity for Supply Chain Analytics for Big Data -- 2.2 Features of Supply Chain Analytics -- 2.3 Opportunities and Applications for Supply Chain Analytics -- 2.3.1 Opportunities for Supply Chain Analytics -- 2.3.2 Process Specific applications of Big Data Analytics -- 2.4 Tools for Supply Chain Analytics -- 2.5 Supply Chain Analytics Methods -- 2.5.1 Descriptive Analytics -- 2.5.2 Predictive Analytics -- 2.5.3 Prescriptive Analytics -- 2.6 Supply Chain Challenges in Adopting Big Data Analytics -- 2.7 Future of Supply Chain Analytics -- 2.8 Conclusion -- References -- Chapter 3 Prioritizing the Barriers and Challenges of Big Data Analytics in Logistics and Supply Chain Management Using MCDM Method -- 3.1 Introduction to Big Data Analytics -- 3.2 Barriers to BDA: Background -- 3.3 Methodology -- 3.3.1 The Steps of HBWM -- 3.3.2 Determining the Consistency Rate -- 3.4 Results and Discussion -- 3.5 Conclusion -- References -- Chapter 4 Big Data in Procurement 4.0: Critical Success Factors and Solutions -- 4.1 Introduction -- 4.2 Macroenvironment -- 4.3 Literature Review -- 4.4 Methodology -- 4.5 Critical Success Factors for Procurement 4.0 -- 4.5.1 Cybernetics Electronic books Gandomi, Amir H. ctb Fong, Simon James ctb Ülkü, M. Ali ctb X:EBC https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6401873 Aggregator |
| spellingShingle | Rahimi, Iman Big Data Analytics in Supply Chain Management Theory and Applications |
| title | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_auth | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_exact_search | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_exact_search_txtP | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_full | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_fullStr | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_full_unstemmed | Big Data Analytics in Supply Chain Management Theory and Applications |
| title_short | Big Data Analytics in Supply Chain Management |
| title_sort | big data analytics in supply chain management theory and applications |
| title_sub | Theory and Applications |
| url | https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6401873 |
| work_keys_str_mv | AT rahimiiman bigdataanalyticsinsupplychainmanagementtheoryandapplications AT gandomiamirh bigdataanalyticsinsupplychainmanagementtheoryandapplications AT fongsimonjames bigdataanalyticsinsupplychainmanagementtheoryandapplications AT ulkumali bigdataanalyticsinsupplychainmanagementtheoryandapplications |