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dc.contributor.authorRana, Nripendra P.
dc.contributor.authorLuthra, S.
dc.contributor.authorRao, H.R.
dc.date.accessioned2019-10-25T23:55:03Z
dc.date.accessioned2019-11-20T12:40:54Z
dc.date.available2019-10-25T23:55:03Z
dc.date.available2019-11-20T12:40:54Z
dc.date.issued2019
dc.identifier.citationRana NP, Luthra S, Rao HR (2019) Key challenges to digital financial services in emerging economies: the Indian context. Information Technology & People. Accepted for Publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17475
dc.descriptionYesen_US
dc.description.abstractPurpose: Digital Financial Services (DFS) have substantial prospect to offer a number of reasonable, appropriate and secure banking services to the underprivileged in developing countries through pioneering technologies such as mobile phone based solutions, digital platforms and electronic money models. DFS allow unbanked people to obtain access to financial services through digital technologies. However, DFS face tough challenges of adoption. Realising this, the aim of this paper is to identify such challenges and develop a framework. Design/Methodology/Approach: We develop a framework of challenges by utilising Interpretive Structural Modelling (ISM) and Fuzzy MICMAC approach. We explored eighteen such unique set of challenges culled from the literature and further gathered data from two sets of expert professionals. In the first phase, we gathered data from twenty-nine professionals followed by eighteen professionals in the second phase. All were pursuing Executive MBA programme from a metropolitan city in South India. The implementation of ISM and fuzzy MICMAC provided a precise set of driving, linkage and dependent variables that were used to derive a framework. Findings: ISM model is split in eight different levels. The bottom level consists of a key driving challenge V11 (i.e. high cost and low return related problem) whereas the topmost level consists of two highly dependent challenges namely V1 (i.e. risk of using digital services) and V14 (i.e. lack of trust). The prescribed ISM model shows the involvement of ‘high cost and low return related problem (V11)’, which triggers further challenges of DFS. Originality/value: None of the existing research has explored key challenges to DFS in detail nor formulated a framework for such challenges. To the best of our knowledge, this is the first paper on DFS that attempts to collate its challenges and incorporate them in a hierarchical model using ISM and further divide them into four categories of factors using fuzzy MICMAC analysis.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1108/ITP-05-2018-0243en_US
dc.rights© 2019, Emerald Publishing Limited. This article is © Emerald Group Publishing and permission has been granted for this version to appear here: https://bradscholars.brad.ac.uk. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.en_US
dc.subjectE-inclusion/exclusionen_US
dc.subjectInformation societyen_US
dc.subjectE-commerceen_US
dc.subjectWireless technologyen_US
dc.subjectDigital divideen_US
dc.subjectIS professionalsen_US
dc.subjectDigital intrerventionen_US
dc.subjectE-marketingen_US
dc.subjectMobile systemen_US
dc.subjectElectronic mediated environmenten_US
dc.titleKey challenges to digital financial services in emerging economies: the Indian contexten_US
dc.status.refereedYesen_US
dc.date.Accepted2019
dc.date.application2019-04-30
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.date.updated2019-10-25T22:55:05Z
refterms.dateFOA2019-11-20T12:41:19Z


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