Balancing data-driven insights and human judgment in supply chain management: The role of business intelligence, big data analytics, and artificial intelligence
Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within the realm of Supply Chain Management (SCM). While the integration of these technologies has promised improved operational efficiency and decis...
Gespeichert in:
| Veröffentlicht in: | Journal of Infrastructure, Policy and Development Jg. 8; H. 6; S. 3941 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
28.06.2024
|
| ISSN: | 2572-7923, 2572-7931 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within the realm of Supply Chain Management (SCM). While the integration of these technologies has promised improved operational efficiency and decision-making capabilities, concerns about complexities and potential overreliance on technology persist. The study aims to provide insights into achieving a balance between data-driven insights and qualitative factors in SCM for sustained competitiveness. Design/methodology/approach: The research executed interviews with ten Arab Gulf-based consulting firms. These companies’ ability to successfully complete BI projects is well recognised. Findings: Through examining the interplay of human judgement and data-driven strategies, addressing integration challenges, and understanding the risks of excessive data reliance, the research enhances comprehension of the modern SCM landscape. It underscores BI’s foundational role, the necessity of balanced human input, and the significance of customer-centric strategies for lasting competitive advantage and relationships. Practical implications: The research provided information for organizations seeking to effectively navigate the complexities of integrating data-driven technologies in SCM. The research is a foundation for future studies to delve deeper into quantitative measurement methodologies and effective data security strategies in the SCM context. Originality: The research highlights the value of integrating BI, BDA, and AI in SCM for improved efficiency, cost reduction, and customer satisfaction, emphasising the need for a balanced approach that combines data-driven insights, human judgement, and customer-centric strategies to maintain competitiveness. |
|---|---|
| AbstractList | Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within the realm of Supply Chain Management (SCM). While the integration of these technologies has promised improved operational efficiency and decision-making capabilities, concerns about complexities and potential overreliance on technology persist. The study aims to provide insights into achieving a balance between data-driven insights and qualitative factors in SCM for sustained competitiveness. Design/methodology/approach: The research executed interviews with ten Arab Gulf-based consulting firms. These companies’ ability to successfully complete BI projects is well recognised. Findings: Through examining the interplay of human judgement and data-driven strategies, addressing integration challenges, and understanding the risks of excessive data reliance, the research enhances comprehension of the modern SCM landscape. It underscores BI’s foundational role, the necessity of balanced human input, and the significance of customer-centric strategies for lasting competitive advantage and relationships. Practical implications: The research provided information for organizations seeking to effectively navigate the complexities of integrating data-driven technologies in SCM. The research is a foundation for future studies to delve deeper into quantitative measurement methodologies and effective data security strategies in the SCM context. Originality: The research highlights the value of integrating BI, BDA, and AI in SCM for improved efficiency, cost reduction, and customer satisfaction, emphasising the need for a balanced approach that combines data-driven insights, human judgement, and customer-centric strategies to maintain competitiveness. |
| Author | Ashal, Najwa Morshed, Amer |
| Author_xml | – sequence: 1 givenname: Najwa surname: Ashal fullname: Ashal, Najwa – sequence: 2 givenname: Amer surname: Morshed fullname: Morshed, Amer |
| BookMark | eNp1kE1LxDAQhoMo-Hn2mh9g16ZNmsabil8geFnPZZpMuyPZdGmywv4bf6pdVwQFTzPDy_MOPMdsPwwBGTsX-ayQhZGXb7Rys_eaqllppNhjR4XSRaZNKfZ_9qI8ZGcxUptLqaWspDpiHzfgIVgKPXeQIHMjvWPgFCL1ixQ5BMcX6yUE_rZ2_RJDmjIe16uV33C7gOmYQuhxG13x-QL5OHjkQ8fbdaSAMU5AQu-px2Dxgre0ezVVg98ksvHi6wuMiTqyBP4XcMoOOvARz77nCXu9v5vfPmbPLw9Pt9fPmRVGi6zGAkWtnTY15ogKwWhVKihtaaFWaKXWhVDK5KZVBlxuK9tWXe2qTghwsjxhatdrxyHGEbvGUoJEQ0gjkG9E3nyZbramm63pZmt64i7_cKuRljBu_iU-AcF8iQU |
| CitedBy_id | crossref_primary_10_21511_ee_16_2__2025_02 crossref_primary_10_21511_ins_16_2__2025_03 crossref_primary_10_21511_ppm_23_2__2025_36 crossref_primary_10_3390_admsci15010020 crossref_primary_10_21511_im_21_3__2025_08 crossref_primary_10_3390_jrfm18010041 crossref_primary_10_1108_TECHS_05_2025_0101 crossref_primary_10_21511_ppm_23_2__2025_62 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION |
| DOI | 10.24294/jipd.v8i6.3941 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| EISSN | 2572-7931 |
| ExternalDocumentID | 10_24294_jipd_v8i6_3941 |
| GroupedDBID | AAYXX CITATION M~E |
| ID | FETCH-LOGICAL-c1971-8e2e187d798e0ee5ea97535a3c3ca85ec4772155909b59ad0c6cb6f8d6f11ad43 |
| ISSN | 2572-7923 |
| IngestDate | Tue Nov 18 22:19:08 EST 2025 Sat Nov 29 01:44:31 EST 2025 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | false |
| IsScholarly | true |
| Issue | 6 |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c1971-8e2e187d798e0ee5ea97535a3c3ca85ec4772155909b59ad0c6cb6f8d6f11ad43 |
| OpenAccessLink | https://systems.enpress-publisher.com/index.php/jipd/article/download/3941/3038 |
| ParticipantIDs | crossref_citationtrail_10_24294_jipd_v8i6_3941 crossref_primary_10_24294_jipd_v8i6_3941 |
| PublicationCentury | 2000 |
| PublicationDate | 2024-06-28 |
| PublicationDateYYYYMMDD | 2024-06-28 |
| PublicationDate_xml | – month: 06 year: 2024 text: 2024-06-28 day: 28 |
| PublicationDecade | 2020 |
| PublicationTitle | Journal of Infrastructure, Policy and Development |
| PublicationYear | 2024 |
| SSID | ssib044744645 |
| Score | 2.3508823 |
| Snippet | Purpose: This research examines the intricate interplay between Business Intelligence (BI), Big Data Analytics (BDA), and Artificial Intelligence (AI) within... |
| SourceID | crossref |
| SourceType | Enrichment Source Index Database |
| StartPage | 3941 |
| Title | Balancing data-driven insights and human judgment in supply chain management: The role of business intelligence, big data analytics, and artificial intelligence |
| Volume | 8 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2572-7931 dateEnd: 99991231 omitProxy: false ssIdentifier: ssib044744645 issn: 2572-7923 databaseCode: M~E dateStart: 20170101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1LbxMxELZC4cAFUQGivOQDByS6YR_eXZsbVK2KRCsOBfW2crxeulXYRJs2tBd-Cz-GH8aMvXacSpHKgcsqcbzjZOfLjB_fzBDyutGKZZkuooblPGJprMEOxnGks7gpk1QLaaLev30uj4_56an4Mhr9cbEwy2nZdfzqSsz_q6qhDZSNobP_oG4vFBrgNSgdrqB2uN5K8R-RrKhwBwDZn1Hdoz1Dzjkuw21GZluY7_yy_m6oAG33doHFPa8xDBje_PCUGMfJcBzEiaPJt0EmT9TSpLXDgXg5vb4Y2EcmEWxv2EimNkhw04ZJ8aeu6aXNaXs5xJ-ZxMUDY9oTnDxOF2fSkrrl-U_vYY5m_eLM7uLiiVS4s5EyZGClgTEGawKzf2Hjkcc6bBs8x2DBeQDU0BpnwibVuukmYFoiGPqJdl6Pl7wtxq7nekLuG47S0xdh4WREVCigQgEVCrhD7qZlLtA9HP3ad1aNsZLh8TFWOXQ_yOaYMjLerX-JYHoUzHNOHpIHgy7oBwusbTLS3SPy24OKBqCiDlQUtEMNqKgDFXxGLaioARVdgeo9BUhRhBSdNdRBiobo2KUAKDMU9YDaNaOs4LR2w2Py9WD_ZO8wGmp7RCoRZRJxneqEl3UpuI61zrXECO9cZipTkudgQWDZh0fmsZjkQtaxKtSkaHhdNEkia5Y9IVvdrNNPCeUihWVDquJc5oyJRHKZ1DoBT6Theatsh4zdI63UkPge669Mqw163CFv_A1zm_NlU9dnt-_6nNxfgfwF2YK_kn5J7qnlRbvoXxnI_AWuQK15 |
| linkProvider | ISSN International Centre |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Balancing+data-driven+insights+and+human+judgment+in+supply+chain+management%3A+The+role+of+business+intelligence%2C+big+data+analytics%2C+and+artificial+intelligence&rft.jtitle=Journal+of+Infrastructure%2C+Policy+and+Development&rft.au=Ashal%2C+Najwa&rft.au=Morshed%2C+Amer&rft.date=2024-06-28&rft.issn=2572-7923&rft.eissn=2572-7931&rft.volume=8&rft.issue=6&rft.spage=3941&rft_id=info:doi/10.24294%2Fjipd.v8i6.3941&rft.externalDBID=n%2Fa&rft.externalDocID=10_24294_jipd_v8i6_3941 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2572-7923&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2572-7923&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2572-7923&client=summon |