Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1717
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dc.contributor.authorMajumdar, Adrija
dc.contributor.authorSaha, Debashish
dc.contributor.authorDasgupta, Partha Sarathi
dc.date.accessioned2021-08-26T06:23:46Z-
dc.date.available2021-08-26T06:23:46Z-
dc.date.issued2015
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84929427880&doi=10.1109%2fAIMOC.2015.7083839&partnerID=40&md5=1c36640149504689355dba6681bfc89d
dc.identifier.urihttps://ir.iimcal.ac.in:8443/jspui/handle/123456789/1717-
dc.descriptionMajumdar, Adrija, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India; Saha, Debashish, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India; Dasgupta, Partha Sarathi, Management Information Systems, Indian Institute of Management Calcutta, Kolkata, India
dc.descriptionISSN/ISBN - 978-147991848-5
dc.descriptionpp.117-123
dc.descriptionDOI - 10.1109/AIMOC.2015.7083839
dc.description.abstractSocial media is emerging as the mode of choice of internet users to communicate, collaborate and share content. Marketers are also increasingly making use of this media to identify potential customers and get them connected to their brand. An important aspect of using social media for advertising is the scope for utilizing word-of-mouth and endorsements from existing customers and subscribers. In this way, advertisers can identify users who can act as social ambassadors to influence other users to buy, try or subscribe to their products or services. In this work, we propose an analytical method to identify potential social ambassadors of brand pages of mobile service providers. The study makes use of a set of users on social media, specifically Facebook, who have high degree of association with the brand page. Users with higher association values could be shown more updates about the brand page and vice versa. We propose a method to ascertain the weights associated with the metric association value and show statistically that the results determined by the proposed method are intuitively valid because they match with the opinions given by domain experts. © 2015 IEEE.
dc.publisherSCOPUS
dc.publisherProceedings - International Conference on 2015 Applications and Innovations in Mobile Computing, AIMoC 2015
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.subjectBrand ambassadors
dc.subjectFacebook
dc.subjectInfluencers
dc.subjectMobile service provider
dc.subjectSocial ambassadors
dc.subjectSocial media
dc.titleAn analytical method to identify social ambassadors for a mobile service provider's brand page on facebook
dc.typeConference Paper
Appears in Collections:Management Information Systems

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