Developing banking intelligence in emerging markets: Systematic review and agenda

dc.contributor.authorArjun, A.
dc.contributor.authorKuanr, A.
dc.contributor.authorKr, S.
dc.date.accessioned2026-02-05T09:26:37Z
dc.date.issued2021
dc.description.abstractThe current banking industry is heavily dependent on technological artifacts supported by intelligent systems for performance on operational and marketing parameters. However, the attributes for enabling practice between such technological interfaces with managerial adoption are been lagging creating a knowledge gap. To address this, present research surveys the prior work from 1970 to 2020 on intelligent decision support models specific to banking. Subsequently, findings are synthesized on quadrant outcomes; technology; employees, customers, and organizations for service ecosystems. In addition, the managerial perceptions of technology on work are captured through short survey. Finally, scope of advancements like big data, internet of things (IoT), virtual reality (VR) along other untapped conceptual relationships into this framework are discussed. © 2021 The Authors
dc.identifier.citationInternational Journal of Information Management Data Insights, 2021, 1, 2, pp. -
dc.identifier.urihttps://doi.org/10.1016/j.jjimei.2021.100026
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/23002
dc.publisherElsevier Ltd
dc.subjectBanking
dc.subjectBibliometrics
dc.subjectDecision support systems
dc.subjectEmerging markets
dc.subjectSystematic review
dc.titleDeveloping banking intelligence in emerging markets: Systematic review and agenda

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