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The Effect of Social Media Based Electronic Word of Mouth on Propensity to Buy Wearable Devices

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HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12427))

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Abstract

There has been an increase in both wearable devices and social media usage. This study sets to describe how social media influences the buying intentions of Wearable Devices (WD). In doing so, constructs from Information Acceptance Model (IACM) had been compared to the resulting themes from 9 one-on-one interview responses and a relationship between social media and wearable devices was formed.

Objectives: Primary objectives were to determine the relationship between social media and; (i) WD sales, (ii) WD features and application information (iii) ongoing interactions on WD’s.

Secondary objectives were to determine (i) if the availability of a WD affected the volume of social media interactions and (ii) if the value associated with a WD was related to the social media posts of that device.

Design, Methodology, and Approach: This study took a qualitative approach to research and used phenomenology as a stance of exploring social media’s influence on purchase intentions towards the wearable device. A positivist philosophical standpoint was applied to deduce themes from the ICAM by touching on interpretivism elements in analyzing the data collected from semi-structured interviews. The data was then categorized into themes, refined into sub-themes and then assessed according to the research propositions as well as the ICAM frameworks constructs.

Findings: Social media was viewed more of as an information outlet as opposed to a driver of purchase intention. From this, it was seen that word of mouth was the biggest driver in WD awareness. Information Quality, Attitudes towards information were the main influencers that social media has towards purchase intention from the ICAM model. This was evident in the construct scores which showed that there was a relationship between the adoption of social media information and purchase intention, that there is a relationship between the features of a WD and social media usage as well as showing that there is a relationship between the users’ perception of the type of social media platform and the WD presented on that platform.

Research Implications: This study explored the influence of social media on the buying intention of wearable devices as well as provided channels for further exploratory research into the human perceptions of information provided on social media.

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References

  • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M.: Internet of Things: a survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutorials 17(4), 2347–2376 (2015)

    Google Scholar 

  • Balakrishnan, B.K., Dahnil, M.I., Yi, W.J.: The impact of social media marketing medium toward purchase intention and brand loyalty among generation Y. Procedia Soc. Behav. Sci. 148, 177–185 (2014)

    Google Scholar 

  • Bhattacherjee, A.: Social Science Research, 2nd edn. Anol Bhattacherjee, Tampa, Florida (2012). https://open.umn.edu/opentextbooks/BookDetail.aspx?bookId=79

  • Bolton, R.N., et al.: Understanding generation Y and their use of social media: a review and research agenda. J. Serv. Manage. 24(3), 245–267 (2013)

    Google Scholar 

  • Chen, H.: College-aged young consumers’ perceptions of social media marketing: the story of instagram. J. Curr. Issues Res. Advert. 39(1), 22–36 (2018)

    Google Scholar 

  • Cho, W., Lee, K.Y., Yang, S.: What makes you feel attached to smartwatches? The stimulus–organism–response (S–O–R) perspectives. Inf. Technol. People 32(2), 319–343 (2019)

    Google Scholar 

  • Chuah, S.H., Rauschnabel, P.A., Krey, N., Nguyen, B., Ramayah, T., Lade, S.: Wearable technologies: the role of usefulness and visibility in smartwatch adoption. Comput. Hum. Behav. 65, 276–284 (2016)

    Google Scholar 

  • Ellison, N.B., Steinfield, C., Lampe, C.: The benefits of Facebook “friends:” social capital and college students’ use of online social network sites. J. Comput. Med. Commun. 12(4), 1143–1168 (2007)

    Google Scholar 

  • Erkan, I., Evans, C.: The influence of eWOM in social media on consumers’ purchase intentions: an extended approach to information adoption. Comput. Hum. Behav. 61, 47–55 (2016)

    Google Scholar 

  • Gimpel, H., Nüske, N., Rückel, T., Urbach, N., von Entreß-Fürsteneck, M.: Self-tracking and gamification: analyzing the interplay of motivations, usage and motivation fulfillment (2019)

    Google Scholar 

  • Hsiao, K., Chen, C.: What drives smartwatch purchase intention? Perspectives from hardware, software, design, and value. Telematics Inform. 35(1), 103–113 (2018)

    Google Scholar 

  • Jashari, F., Rrustemi, V.: The impact of social media on consumer behavior–case study Kosovo. J. Knowl. Manage. Econ. Inf. Technol. 7(1), 1–21 (2017)

    Google Scholar 

  • Johnson, K.M.: Literature review: an investigation into the usefulness of the smart watch interface for university students and the types of data they would require (2014)

    Google Scholar 

  • Kaewkannate, K., Kim, S.: A comparison of wearable fitness devices. BMC Public Health 16(1), 433 (2016). https://doi.org/10.1186/s12889-016-3059-0

    Article  Google Scholar 

  • Kim, S., Lee, S., Han, J.: StretchArms: promoting stretching exercise with a smartwatch. Int. J. Hum.-Comput. Inter. 34(3), 218–225 (2018)

    Google Scholar 

  • Lee, D., Hosanagar, K., Nair, H.S.: Advertising content and consumer engagement on social media: evidence from Facebook. Manage. Sci. 64(11), 5105–5131 (2018)

    Google Scholar 

  • Lee, E.: Impacts of social media on consumer behavior: decision making process. Turun ammattikorkeakoulu (2013). https://www.openaire.eu/search/publication?articleId=od_1319::728109eb8b479459b8eb5be8470655f4

  • Lister, C., West, J.H., Cannon, B., Sax, T., Brodegard, D.: Just a fad? Gamification in health and fitness apps. JMIR Serious Games 2(2), e9 (2014)

    Google Scholar 

  • Lunney, A., Cunningham, N.R., Eastin, M.S.: Wearable fitness technology: a structural investigation into acceptance and perceived fitness outcomes. Comput. Hum. Behav. 65, 114–120 (2016)

    Google Scholar 

  • Marketing Charts. (2018). Tech update: mobile & social media usage, by generation. https://www.marketingcharts.com/demographics-and-audiences-83363

  • Mekky, S.: Wearable computing and the hype of tracking personal activity. In: Paper Presented at the Royal Institute of Technology’s Student Interaction Design Research Conference (SIDeR) Stockholm, Sweden, pp. 1–4 (2014)

    Google Scholar 

  • Nadkarni, A., Hofmann, S.G.: Why do people use Facebook? Personality Individ. Differ. 52(3), 243–249 (2012)

    Google Scholar 

  • Nascimento, B., Oliveira, T., Tam, C.: Wearable technology: what explains continuance intention in smartwatches? J. Retail. Consum. Serv. 43, 157–169 (2018)

    Google Scholar 

  • Page, T.: Barriers to the adoption of wearable technology. I-Manager’s J. Inf. Technol. 4(3), 1 (2015)

    Google Scholar 

  • Pempek, T.A., Yermolayeva, Y.A., Calvert, S.L.: College students’ social networking experiences on Facebook. J. Appl. Dev. Psychol. 30(3), 227–238 (2009)

    Google Scholar 

  • Ray, P.P.: A survey on Internet of Things architectures. J. King Saud Univ. Comput. Inf. Sci. 30(3), 291–319 (2018)

    Google Scholar 

  • Rupp, M.A., Michaelis, J.R., McConnell, D.S., Smither, J.A.: The role of individual differences on perceptions of wearable fitness device trust, usability, and motivational impact. Appl. Ergon. 70, 77–87 (2018)

    Google Scholar 

  • Teo, L.X., Leng, H.K., Phua, Y.X.P.: Marketing on Instagram: social influence and image quality on perception of quality and purchase intention. Int. J. Sports Market. Sponsorship 20, 321–332 (2018)

    Google Scholar 

  • von Entress-Fürsteneck, M., Gimpel, H., Nüske, N., Rückel, T., Urbach, N.: Self-tracking and gamification: analyzing the interplay of motivations, usage and motivation fulfillment (2019)

    Google Scholar 

  • Wairimu, J., Sun, J.: Is smartwatch really for me? An expectation-confirmation perspective (2018)

    Google Scholar 

  • Wu, L., Wu, L., Chang, S.: Exploring consumers’ intention to accept smartwatch. Comput. Hum. Behav. 64, 383–392 (2016)

    Google Scholar 

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Authors and Affiliations

  1. Department of Information Systems, The University of Cape Town, Rondebosch, Cape Town, South Africa

    David Ntumba & Adheesh Budree

Authors
  1. David Ntumba
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  2. Adheesh Budree
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Correspondence to Adheesh Budree .

Editor information

Editors and Affiliations

  1. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

  2. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

  3. University of West Florida, Pensacola, FL, USA

    June Wei

  4. Tokyo University of Science, Tokyo, Japan

    Sakae Yamamoto

  5. Tokyo City University, Tokyo, Japan

    Hirohiko Mori

  6. Towson University, Towson, MD, USA

    Gabriele Meiselwitz

  7. Missouri University of Science and Technology, Rolla, MO, USA

    Fiona Fui-Hoon Nah

  8. Missouri University of Science and Technology, Rolla, MO, USA

    Keng Siau

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Ntumba, D., Budree, A. (2020). The Effect of Social Media Based Electronic Word of Mouth on Propensity to Buy Wearable Devices. In: Stephanidis, C., et al. HCI International 2020 – Late Breaking Papers: Interaction, Knowledge and Social Media. HCII 2020. Lecture Notes in Computer Science(), vol 12427. Springer, Cham. https://doi.org/10.1007/978-3-030-60152-2_30

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  • DOI: https://doi.org/10.1007/978-3-030-60152-2_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60151-5

  • Online ISBN: 978-3-030-60152-2

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