IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v43y2018icp85-97.html
   My bibliography  Save this article

“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective

Author

Listed:
  • Grover, Purva
  • Kar, Arpan Kumar
  • Davies, Gareth

Abstract

Technology had been used in health domain for various purposes such as for storing electronic health records; monitoring; education; communication; and for behavioural tracking. The evident benefits have triggered a huge amount of discussions surrounding health technology in the web 3.0 space and users around the globe are sharing their experiences and perspective on social media platforms. Social media had been used for creating awareness, sharing information and providing emotional support to public in different diseases. This study focuses on exploring the health technology related discussions in Twitter. For this study around 105,489 tweets were collected from Twitter by 15,587 unique users. These tweets were analysed through social media analytics approaches (i.e. CUP framework). The study presents the top technologies in health domain through hashtag analysis and top diseases (acute, chronic, communicable and non-communicable) through word analysis and their association through co-occurrence of words within the tweets. The association depicts technology had been used in treating, identifying and heeling of the various diseases. The discussion on social media is skewed towards computing algorithms. The acute and chronic diseases were discussed on social media, and our study indicates that statistically, there is no difference in the discussion of acute and chronic diseases. The communicable and non-communicable diseases are also discussed on social media, and our study indicates no statistically difference in the discussion of communicable and non-communicable diseases which signifies users are referring to Twitter for discussing various type of diseases irrespective of acute, chronic, communicable and non-communicable diseases. Future researchers can use the study as the evidence of extracting insights related to socio-technical perspective from Twitter data. The literature contains lot of evidences where technology had been useful in health domain, but the bigger picture of how the various technologies are being related to health domain is missing, therefore this study tries to contribute to this area by mining tweets.

Suggested Citation

  • Grover, Purva & Kar, Arpan Kumar & Davies, Gareth, 2018. "“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective," International Journal of Information Management, Elsevier, vol. 43(C), pages 85-97.
  • Handle: RePEc:eee:ininma:v:43:y:2018:i:c:p:85-97
    DOI: 10.1016/j.ijinfomgt.2018.07.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401218304997
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijinfomgt.2018.07.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Liang & Du, Kui & Xin, Shuang & Zhang, Wei, 2017. "Creating value through IT-enabled integration in public organizations: A case study of a prefectural Chinese Center for Disease Control and Prevention," International Journal of Information Management, Elsevier, vol. 37(1), pages 1575-1580.
    2. Kim, Jooho & Bae, Juhee & Hastak, Makarand, 2018. "Emergency information diffusion on online social media during storm Cindy in U.S," International Journal of Information Management, Elsevier, vol. 40(C), pages 153-165.
    3. Rocci Luppicini & Victoria Aceti, 2011. "Exploring the Effect of mHealth Technologies on Communication and Information Sharing in a Pediatric Critical Care Unit: A Case Study," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 6(3), pages 1-19, July.
    4. He, Wu & Zha, Shenghua & Li, Ling, 2013. "Social media competitive analysis and text mining: A case study in the pizza industry," International Journal of Information Management, Elsevier, vol. 33(3), pages 464-472.
    5. Li, Lifang & Zhang, Qingpeng & Tian, Jun & Wang, Haolin, 2018. "Characterizing information propagation patterns in emergencies: A case study with Yiliang Earthquake," International Journal of Information Management, Elsevier, vol. 38(1), pages 34-41.
    6. Aswani, Reema & Kar, Arpan Kumar & Ilavarasan, P. Vigneswara & Dwivedi, Yogesh K., 2018. "Search engine marketing is not all gold: Insights from Twitter and SEOClerks," International Journal of Information Management, Elsevier, vol. 38(1), pages 107-116.
    7. Fergie, Gillian & Hunt, Kate & Hilton, Shona, 2016. "Social media as a space for support: Young adults' perspectives on producing and consuming user-generated content about diabetes and mental health," Social Science & Medicine, Elsevier, vol. 170(C), pages 46-54.
    8. Jiayin Pei & Guang Yu & Xianyun Tian & Maureen Renee Donnelley, 2017. "A new method for early detection of mass concern about public health issues," Journal of Risk Research, Taylor & Francis Journals, vol. 20(4), pages 516-532, April.
    9. Manoj Thomas & Poornima Narayan, 2016. "The Role of Participatory Communication in Tracking Unreported Reproductive Tract Issues in Marginalized Communities," Information Technology for Development, Taylor & Francis Journals, vol. 22(1), pages 117-133, January.
    10. Dorothy (Willy) Fahlman, 2017. "Reflections on Distributive Leadership for Work-Based Mobile Learning of Canadian Registered Nurses," International Journal of Mobile and Blended Learning (IJMBL), IGI Global, vol. 9(3), pages 1-11, July.
    11. Hajli, M. Nick, 2014. "Developing online health communities through digital media," International Journal of Information Management, Elsevier, vol. 34(2), pages 311-314.
    12. Chandwani, Rajesh & De, Rahul & Dwivedi, Yogesh K., 2018. "Telemedicine for low resource settings: Exploring the generative mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 177-187.
    13. Kristina Eriksson-Backa & Kim Holmberg & Stefan Ek, 2016. "Communicating diabetes and diets on Twitter - a semantic content analysis," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 16(1), pages 8-24.
    14. Ashish K. Rathore & Arpan K. Kar & P. Vigneswara Ilavarasan, 2017. "Social Media Analytics: Literature Review and Directions for Future Research," Decision Analysis, INFORMS, vol. 14(4), pages 229-249, December.
    15. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    16. Juan C. Lavariega & Roberto Garza & Lorena G. Gómez & Victor J. Lara-Diaz & Manuel J. Silva-Cavazos, 2016. "EEMI - An Electronic Health Record for Pediatricians: Adoption Barriers, Services and Use in Mexico," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 11(3), pages 57-69, July.
    17. Majid A. Al-Taee & Suhail N. Abood, 2012. "Mobile Acquisition and Monitoring System for Improved Diabetes Management Using Emergent Wireless and Web Technologies," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 7(1), pages 17-30, January.
    18. Karami, Amir & Dahl, Alicia A. & Turner-McGrievy, Gabrielle & Kharrazi, Hadi & Shaw, George, 2018. "Characterizing diabetes, diet, exercise, and obesity comments on Twitter," International Journal of Information Management, Elsevier, vol. 38(1), pages 1-6.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Amarjit Kaur & Prerna Ahuja & Jinesh Jain & Simarjeet Singh & Aashish Garg, 2023. "Is Youth Ready for the Looming Technology Frontier in Healthcare? Examining Intentions and Adoption of Mobile Health (mHealth)," Business Perspectives and Research, , vol. 11(1), pages 63-80, January.
    2. Alekh Gour & Shikha Aggarwal & Subodha Kumar, 2022. "Lending ears to unheard voices: An empirical analysis of user‐generated content on social media," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2457-2476, June.
    3. Fang Fang & Yin Zhou & Shi Ying & Zhijuan Li, 2023. "A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis," IJERPH, MDPI, vol. 20(2), pages 1-14, January.
    4. Yi Sun & Shihui Li & Rui Wang, 2023. "Fintech: from budding to explosion - an overview of the current state of research," Review of Managerial Science, Springer, vol. 17(3), pages 715-755, April.
    5. Tortorella, Guilherme L. & Fogliatto, Flavio S. & Saurin, Tarcísio A. & Tonetto, Leandro M. & McFarlane, Duncan, 2022. "Contributions of Healthcare 4.0 digital applications to the resilience of healthcare organizations during the COVID-19 outbreak," Technovation, Elsevier, vol. 111(C).
    6. Prabhsimran Singh & Surleen Kaur & Abdullah M. Baabdullah & Yogesh K. Dwivedi & Sandeep Sharma & Ravinder Singh Sawhney & Ronnie Das, 2023. "Is #SDG13 Trending Online? Insights from Climate Change Discussions on Twitter," Information Systems Frontiers, Springer, vol. 25(1), pages 199-219, February.
    7. Geissinger, Andrea & Laurell, Christofer & Öberg, Christina & Sandström, Christian, 2023. "Social media analytics for innovation management research: A systematic literature review and future research agenda," Technovation, Elsevier, vol. 123(C).
    8. Jose Ramon Saura & Daniel Palacios-Marqués & Domingo Ribeiro-Soriano, 2023. "Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1696-1722, October.
    9. Jamali, Mehdi & Nejat, Ali & Ghosh, Souparno & Jin, Fang & Cao, Guofeng, 2019. "Social media data and post-disaster recovery," International Journal of Information Management, Elsevier, vol. 44(C), pages 25-37.
    10. Sara Moukarzel & Anita Caduff & Martin Rehm & Miguel del Fresno & Rafael Pérez-Escamilla & Alan J. Daly, 2021. "Breastfeeding Communication Strategies, Challenges and Opportunities in the Twitter-Verse: Perspectives of Influencers and Social Network Analysis," IJERPH, MDPI, vol. 18(12), pages 1-13, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Martínez-Rojas, María & Pardo-Ferreira, María del Carmen & Rubio-Romero, Juan Carlos, 2018. "Twitter as a tool for the management and analysis of emergency situations: A systematic literature review," International Journal of Information Management, Elsevier, vol. 43(C), pages 196-208.
    2. Nisar, Tahir M. & Prabhakar, Guru & Patil, Pushp P., 2018. "Sports clubs’ use of social media to increase spectator interest," International Journal of Information Management, Elsevier, vol. 43(C), pages 188-195.
    3. Gupta, Shivam & Kar, Arpan Kumar & Baabdullah, Abdullah & Al-Khowaiter, Wassan A.A., 2018. "Big data with cognitive computing: A review for the future," International Journal of Information Management, Elsevier, vol. 42(C), pages 78-89.
    4. Salvatore Pirri & Valentina Lorenzoni & Gianni Andreozzi & Marta Mosca & Giuseppe Turchetti, 2020. "Topic Modeling and User Network Analysis on Twitter during World Lupus Awareness Day," IJERPH, MDPI, vol. 17(15), pages 1-18, July.
    5. Chae, Bongsug (Kevin), 2019. "A General framework for studying the evolution of the digital innovation ecosystem: The case of big data," International Journal of Information Management, Elsevier, vol. 45(C), pages 83-94.
    6. Grover, Purva & Kar, Arpan Kumar & Dwivedi, Yogesh K. & Janssen, Marijn, 2019. "Polarization and acculturation in US Election 2016 outcomes – Can twitter analytics predict changes in voting preferences," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 438-460.
    7. Purva Grover & Arpan Kumar Kar & Yogesh K. Dwivedi, 2022. "Understanding artificial intelligence adoption in operations management: insights from the review of academic literature and social media discussions," Annals of Operations Research, Springer, vol. 308(1), pages 177-213, January.
    8. Theo Lynn & Pierangelo Rosati & Guto Leoni Santos & Patricia Takako Endo, 2020. "Sorting the Healthy Diet Signal from the Social Media Expert Noise: Preliminary Evidence from the Healthy Diet Discourse on Twitter," IJERPH, MDPI, vol. 17(22), pages 1-28, November.
    9. Arpan Kumar Kar & Sunil Kumar & P. Vigneswara Ilavarasan, 2021. "Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 267-288, December.
    10. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    11. Jamali, Mehdi & Nejat, Ali & Ghosh, Souparno & Jin, Fang & Cao, Guofeng, 2019. "Social media data and post-disaster recovery," International Journal of Information Management, Elsevier, vol. 44(C), pages 25-37.
    12. Irina Wedel & Michael Palk & Stefan Voß, 2022. "A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter," Information Systems Frontiers, Springer, vol. 24(5), pages 1635-1646, October.
    13. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sánchez-Alonso, Salvador, 2023. "Twitter as a predictive system: A systematic literature review," Journal of Business Research, Elsevier, vol. 157(C).
    14. Andrea C. Hupman, 2022. "Cutoff Threshold Decisions for Classification Algorithms with Risk Aversion," Decision Analysis, INFORMS, vol. 19(1), pages 63-78, March.
    15. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
    16. Ehsan Samiei & Jafar Habibi, 2020. "The Mutual Relation Between Enterprise Resource Planning and Knowledge Management: A Review," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 53-66, March.
    17. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.
    18. Bhukya, Ramulu & Paul, Justin, 2023. "Social influence research in consumer behavior: What we learned and what we need to learn? – A hybrid systematic literature review," Journal of Business Research, Elsevier, vol. 162(C).
    19. Ashish Kumar Rathore & Santanu Das & P. Vigneswara Ilavarasan, 2018. "Social Media Data Inputs in Product Design: Case of a Smartphone," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 255-272, September.
    20. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:43:y:2018:i:c:p:85-97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.