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dc.contributor.authorBanerjee, S.
dc.contributor.authorSingh, J.P.
dc.contributor.authorDwivedi, Y.K.
dc.contributor.authorRana, Nripendra P.
dc.date.accessioned2021-05-15T07:54:42Z
dc.date.accessioned2021-05-28T09:57:15Z
dc.date.available2021-05-15T07:54:42Z
dc.date.available2021-05-28T09:57:15Z
dc.date.issued2021
dc.identifier.citationBanerjee S, Singh JP, Dwivedi YK et al (2021) Social media analytics for end-users’ expectation management in information systems development projects. Information Technology and People. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18498
dc.descriptionYesen_US
dc.description.abstractThis exploratory research aims to investigate social media users’ expectations of information systems (IS) products that are conceived but not yet launched. It specifically analyses social media data from Twitter about forthcoming smartphones and smartwatches from Apple and Samsung, two firms known for their innovative gadgets. Tweets related to the following four forthcoming IS products were retrieved from 1st January 2020 to 30th September 2020: (1) Apple iPhone 12 (6,125 tweets), (2) Apple Watch 6 (553 tweets), (3) Samsung Galaxy Z Flip 2 (923 tweets), and (4) Samsung Galaxy Watch Active 3 (207 tweets). These 7,808 tweets were analysed using a combination of the Natural Language Processing Toolkit (NLTK) and sentiment analysis (SentiWordNet). The online community was quite vocal about topics such as design, camera and hardware specifications. For all the forthcoming gadgets, the proportion of positive tweets exceeded that of negative tweets. The most prevalent sentiment expressed in Apple-related tweets was neutral but in Samsung-related tweets was positive. Additionally, it was found that the proportion of tweets echoing negative sentiment was lower for Apple compared with Samsung. This paper is the earliest empirical work to examine the degree to which social media chatter can be used by project managers for IS development projects, specifically for the purpose of end-users’ expectation management.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1108/ITP-10-2020-0706en_US
dc.subjectSocial media analyticsen_US
dc.subjectInformation systems developmenten_US
dc.subjectTwitteren_US
dc.subjectSentiment analysisen_US
dc.subjectAppleen_US
dc.subjectSamsungen_US
dc.titleSocial media analytics for end-users’ expectation management in information systems development projectsen_US
dc.status.refereedYesen_US
dc.date.Accepted2021-05-14
dc.typeArticleen_US
dc.date.EndofEmbargo2022
dc.type.versionAccepted manuscripten_US
dc.date.updated2021-05-15T06:54:54Z
refterms.dateFOA2021-05-28T09:57:47Z
dc.openaccess.statusGreenen_US


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