IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v66y2024i3d10.1007_s12599-024-00875-6.html
   My bibliography  Save this article

Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis

Author

Listed:
  • Katharina Baum

    (Vienna University of Business and Economics
    Weizenbaum Institute for the Networked Society)

  • Annika Baumann

    (Weizenbaum Institute for the Networked Society
    University of Potsdam)

  • Katharina Batzel

    (Accenture)

Abstract

The field of healthcare is characterized by constant innovation, with gender-specific medicine emerging as a new subfield that addresses sex and gender disparities in clinical manifestations, outcomes, treatment, and prevention of disease. Despite its importance, the adoption of gender-specific medicine remains understudied, posing potential risks to patient outcomes due to a lack of awareness of the topic. Building on the Innovation Decision Process Theory, this study examines the spread of information about gender-specific medicine in online networks. The study applies social network analysis to a Twitter dataset reflecting online discussions about the topic to gain insights into its adoption by health professionals and patients online. Results show that the network has a community structure with limited information exchange between sub-communities and that mainly medical experts dominate the discussion. The findings suggest that the adoption of gender-specific medicine might be in its early stages, focused on knowledge exchange. Understanding the diffusion of gender-specific medicine among medical professionals and patients may facilitate its adoption and ultimately improve health outcomes.

Suggested Citation

  • Katharina Baum & Annika Baumann & Katharina Batzel, 2024. "Investigating Innovation Diffusion in Gender-Specific Medicine: Insights from Social Network Analysis," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 66(3), pages 335-355, June.
    • Handle: RePEc:spr:binfse:v:66:y:2024:i:3:d:10.1007_s12599-024-00875-6
    DOI: 10.1007/s12599-024-00875-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-024-00875-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12599-024-00875-6?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. Lisa Singh & Leticia Bode & Ceren Budak & Kornraphop Kawintiranon & Colton Padden & Emily Vraga, 2020. "Understanding high- and low-quality URL Sharing on COVID-19 Twitter streams," Journal of Computational Social Science, Springer, vol. 3(2), pages 343-366, November.
    2. 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.
    3. Weiai Xu & I-Hsuan Chiu & Yixin Chen & Tanuka Mukherjee, 2015. "Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1361-1380, July.
    4. Emer Brady & Mathias Wullum Nielsen & Jens Peter Andersen & Sabine Oertelt-Prigione, 2021. "Lack of consideration of sex and gender in COVID-19 clinical studies," Nature Communications, Nature, vol. 12(1), pages 1-6, December.
    5. Liu-Thompkins, Yuping & Rogerson, Michelle, 2012. "Rising to Stardom: An Empirical Investigation of the Diffusion of User-generated Content," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 71-82.
    6. Rogers, Everett M, 1976. "New Product Adoption and Diffusion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(4), pages 290-301, March.
    7. Stieglitz, Stefan & Mirbabaie, Milad & Ross, Björn & Neuberger, Christoph, 2018. "Social media analytics – Challenges in topic discovery, data collection, and data preparation," International Journal of Information Management, Elsevier, vol. 39(C), pages 156-168.
    8. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
    9. Elena Milani & Emma Weitkamp & Peter Webb, 2020. "The Visual Vaccine Debate on Twitter: A Social Network Analysis," Media and Communication, Cogitatio Press, vol. 8(2), pages 364-375.
    10. Rosenberg, Nathan, 1972. "Factors affecting the diffusion of technology," Explorations in Economic History, Elsevier, vol. 10(1), pages 3-33.
    Full references (including those not matched with items on IDEAS)

    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. Cano-Marin, Enrique & Mora-Cantallops, Marçal & Sanchez-Alonso, Salvador, 2023. "The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    2. Elbanna, Amany & Bunker, Deborah & Levine, Linda & Sleigh, Anthony, 2019. "Emergency management in the changing world of social media: Framing the research agenda with the stakeholders through engaged scholarship," International Journal of Information Management, Elsevier, vol. 47(C), pages 112-120.
    3. Samar Binkheder & Raniah N. Aldekhyyel & Alanoud AlMogbel & Nora Al-Twairesh & Nuha Alhumaid & Shahad N. Aldekhyyel & Amr A. Jamal, 2021. "Public Perceptions around mHealth Applications during COVID-19 Pandemic: A Network and Sentiment Analysis of Tweets in Saudi Arabia," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    4. Wenyao Zhang & Qingpu Zhang, 2017. "Exploring Antecedent Difference between Early and Late Adopters of Disruptive Innovation in E-business Microcredit Context: Evidence from China," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-29, December.
    5. Asongu, Simplice & Boateng, Agyenim & Akamavi, Raphael, 2016. "Mobile Phone Innovation and Inclusive Human Development: Evidence from Sub-Saharan Africa," MPRA Paper 75046, University Library of Munich, Germany.
    6. Luis-Millán González & José Devís-Devís & Maite Pellicer-Chenoll & Miquel Pans & Alberto Pardo-Ibañez & Xavier García-Massó & Fernanda Peset & Fernanda Garzón-Farinós & Víctor Pérez-Samaniego, 2021. "The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    7. Jamalnia, Aboozar & Gong, Yu & Govindan, Kannan, 2023. "Sub-supplier's sustainability management in multi-tier supply chains: A systematic literature review on the contingency variables, and a conceptual framework," International Journal of Production Economics, Elsevier, vol. 255(C).
    8. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Basic formal education quality, information technology, and inclusive human development in sub‐Saharan Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(3), pages 419-428, May.
    9. Fındık, Derya & Tansel, Aysit, 2013. "Resources on the stage: a firm level analysis of the ict adoption in Turkey," MPRA Paper 65956, University Library of Munich, Germany, revised 05 Aug 2014.
    10. Maqbool, Rashid, 2018. "Efficiency and effectiveness of factors affecting renewable energy projects; an empirical perspective," Energy, Elsevier, vol. 158(C), pages 944-956.
    11. Amadu, Festus O. & McNamara, Paul E. & Davis, Kristin E., 2021. "Soil health and grain yield impacts of climate resilient agriculture projects: Evidence from southern Malawi," Agricultural Systems, Elsevier, vol. 193(C).
    12. Micheels, Eric T. & Nolan, James F., 2016. "Examining the effects of absorptive capacity and social capital on the adoption of agricultural innovations: A Canadian Prairie case study," Agricultural Systems, Elsevier, vol. 145(C), pages 127-138.
    13. Tao Zhang & William J. Nuttall, 2007. "An Agent Based Simulation of Smart Metering Technology Adoption," Working Papers EPRG 0727, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Franklin M. Lartey, 2020. "Predicting Product Uptake Using Bass, Gompertz, and Logistic Diffusion Models: Application to a Broadband Product," Journal of Business Administration Research, Journal of Business Administration Research, Sciedu Press, vol. 9(2), pages 1-5, October.
    15. Boonyanit Mathayomchan & Viriya Taecharungroj & Walanchalee Wattanacharoensil, 2023. "Evolution of COVID-19 tweets about Southeast Asian Countries: topic modelling and sentiment analyses," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 19(3), pages 317-334, September.
    16. Demoussis, Michael & Giannakopoulos, Nicholas, 2006. "The dynamics of home computer ownership in Greece," Information Economics and Policy, Elsevier, vol. 18(1), pages 73-86, March.
    17. Elanor Colleoni & Nuccio Ludovico & Illia Laura & Ravindran Kiron, 2021. "Does Sharing Economy Have a Moral Capital? Comparing Semantic Networks in Social Media and News Media," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 11(2), pages 1-1, December.
    18. Antonio Martins-Neto & Nanditha Mathew & Pierre Mohnen & Tania Treibich, 2024. "Is There Job Polarization in Developing Economies? A Review and Outlook," The World Bank Research Observer, World Bank, vol. 39(2), pages 259-288.
    19. Franklin Simtowe & Paswel Marenya & Emily Amondo & Mosisa Worku & Dil Bahadur Rahut & Olaf Erenstein, 2019. "Heterogeneous seed access and information exposure: implications for the adoption of drought-tolerant maize varieties in Uganda," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 7(1), pages 1-23, December.
    20. Bruce Forrester, 2020. "Authentic chatter," Computational and Mathematical Organization Theory, Springer, vol. 26(4), pages 382-411, December.

    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:spr:binfse:v:66:y:2024:i:3:d:10.1007_s12599-024-00875-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.