Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Empirical Assessment of Artificial Intelligence Enablers Strengthening Business Intelligence in the Indian Banking Industry: ISM and MICMAC Modelling Approach Description An account of the resource Considering the context of the issue based on literature survey and expert opinion, this study investigates the drivers of Artificial Intelligence (AI) implementation, which further strengthens the Business Intelligence (BI) in taking better decision-making industries in India. For the purpose of serving the objective of examining the enablers towards having a smarter AI ecosystem in banking, the relevance of identified enablers from exhaustive literature survey were discussed with the experts from banking sector and AI professionals. Based on their opinion, 15 final enablers were defined based on the data collected have been put through Interpretive Structural Modelling (ISM) that reveals the binary relationship between the enablers to draw a hierarchical conclusion, and then assess the enablers about their independence, linkage, autonomous character, and dependence based on their calculated driving and dependence power through MICMAC analysis. The ISM and MICMAC integrated approaches have been used to establish interdependence among the enablers of AI in banking in India context. The study reveals that strong algorithms result in building quality AI information, and also the efforts from management related to commitment, financial readiness towards technological advancement, training, and skill development are quite essential in making the baking system smarter and would enable the industry to take better management decision. 2023 selection and editorial matter, Deepmala Singh, Anurag Singh, Amizan Omar &amp; S.B Goyal. Creator An entity primarily responsible for making the resource Shekhar S.; Chandan Source A related resource from which the described resource is derived Business Intelligence and Human Resource Management: Concept, Cases, and Practical Applications, pp. 161-189. Publisher An entity responsible for making the resource available Taylor and Francis Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4324/9781003184928-8" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003184928-8</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156249642&amp;doi=10.4324%2F9781003184928-8&amp;partnerID=40&amp;md5=0e6567f5124c7d4bcc126b7565b982fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85156249642&amp;doi=10.4324%2f9781003184928-8&amp;partnerID=40&amp;md5=0e6567f5124c7d4bcc126b7565b982fb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100061934-8; 978-103202730-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shekhar S., Logistics Division, MoC, Indian Institute of Foreign Trade (IIFT), New Delhi, India; Chandan, Department of Professional Studies, CHRIST (Deemed-to-be University), Bengaluru, India