IDEAS home Printed from https://ideas.repec.org/a/eee/techno/v123y2023ics0166497223000238.html
   My bibliography  Save this article

Social media analytics for innovation management research: A systematic literature review and future research agenda

Author

Listed:
  • Geissinger, Andrea
  • Laurell, Christofer
  • Öberg, Christina
  • Sandström, Christian

Abstract

New trends in innovation management may require new research methods. Social media analytics (SMA)—a method for capturing and analyzing data from user-generated content published on online platforms—has emerged as a complement or even alternative to more traditional research methods. This article systematically reviews and assesses the use of SMA and its potential for innovation management research. Our results show that use of SMA is still in an emergent phase, although it has become increasingly popular over the past decade. Our literature review illustrates that SMA provides new opportunities for innovation management scholars to enhance customer-, market-, technology-, and society-focused innovation research in several ways. In this paper we develop a research agenda and suggest areas for future research using SMA in innovation management.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:techno:v:123:y:2023:i:c:s0166497223000238
    DOI: 10.1016/j.technovation.2023.102712
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0166497223000238
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.technovation.2023.102712?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. Kar, Arpan Kumar & Dwivedi, Yogesh K., 2020. "Theory building with big data-driven research – Moving away from the “What” towards the “Why”," International Journal of Information Management, Elsevier, vol. 54(C).
    2. Lei Wang & Yongcheng Zhan & Qiudan Li & Daniel D. Zeng & Scott J. Leischow & Janet Okamoto, 2015. "An Examination of Electronic Cigarette Content on Social Media: Analysis of E-Cigarette Flavor Content on Reddit," IJERPH, MDPI, vol. 12(11), pages 1-20, November.
    3. Laurell, Christofer & Sandström, Christian & Suseno, Yuliani, 2019. "Assessing the interplay between crowdfunding and sustainability in social media," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 117-127.
    4. Nimish Joseph & Arpan Kumar Kar & P. Vigneswara Ilavarasan & Shankar Ganesh, 2017. "Review of Discussions on Internet of Things (IoT): Insights from Twitter Analytics," Journal of Global Information Management (JGIM), IGI Global, vol. 25(2), pages 38-51, April.
    5. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    6. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    7. Rebecca Henderson, 1993. "Underinvestment and Incompetence as Responses to Radical Innovation: Evidence from the Photolithographic Alignment Equipment Industry," RAND Journal of Economics, The RAND Corporation, vol. 24(2), pages 248-270, Summer.
    8. Klaudia Bracio & Marek Szarucki, 2020. "Mixed Methods Utilisation in Innovation Management Research: A Systematic Literature Review and Meta-Summary," JRFM, MDPI, vol. 13(11), pages 1-27, October.
    9. Chen, Yan, 2017. "Dynamic ambidexterity: How innovators manage exploration and exploitation," Business Horizons, Elsevier, vol. 60(3), pages 385-394.
    10. Misirlis, Nikolaos & Vlachopoulou, Maro, 2018. "Social media metrics and analytics in marketing – S3M: A mapping literature review," International Journal of Information Management, Elsevier, vol. 38(1), pages 270-276.
    11. 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.
    12. Stefan Stieglitz & Linh Dang-Xuan & Axel Bruns & Christoph Neuberger, 2014. "Social Media Analytics," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(2), pages 89-96, April.
    13. Hauke Simon & Jens Leker, 2016. "Using Startup Communication For Opportunity Recognition — An Approach To Identify Future Product Trends," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1-22, December.
    14. 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.
    15. Arpan Kumar Kar, 2021. "What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model”," Information Systems Frontiers, Springer, vol. 23(5), pages 1341-1361, September.
    16. 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.
    17. Istvan Ervin Haber & Mate Toth & Robert Hajdu & Kinga Haber & Gabor Pinter, 2021. "Exploring Public Opinions on Renewable Energy by Using Conventional Methods and Social Media Analysis," Energies, MDPI, vol. 14(11), pages 1-13, May.
    18. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    19. Andrew H. van de Ven & George P. Huber, 1990. "Longitudinal Field Research Methods for Studying Processes of Organizational Change," Organization Science, INFORMS, vol. 1(3), pages 213-219, August.
    20. Geissinger, Andrea & Laurell, Christofer & Sandström, Christian, 2020. "Digital Disruption beyond Uber and Airbnb—Tracking the long tail of the sharing economy," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    21. Rathore, Ashish Kumar & Ilavarasan, P. Vigneswara, 2020. "Pre- and post-launch emotions in new product development: Insights from twitter analytics of three products," International Journal of Information Management, Elsevier, vol. 50(C), pages 111-127.
    22. 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.
    23. Vikas Kumar & Pooja Nanda, 2019. "Social Media to Social Media Analytics: Ethical Challenges," International Journal of Technoethics (IJT), IGI Global, vol. 10(2), pages 57-70, July.
    24. Ravindra Kumar Singh & Harsh Kumar Verma, 2020. "Influence of Social Media Analytics on Online Food Delivery Systems," International Journal of Information System Modeling and Design (IJISMD), IGI Global, vol. 11(3), pages 1-21, July.
    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. 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.
    2. 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.
    3. 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.
    4. Zachlod, Cécile & Samuel, Olga & Ochsner, Andrea & Werthmüller, Sarah, 2022. "Analytics of social media data – State of characteristics and application," Journal of Business Research, Elsevier, vol. 144(C), pages 1064-1076.
    5. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
    6. Laurell, Christofer & Sandström, Christian, 2018. "Comparing coverage of disruptive change in social and traditional media: Evidence from the sharing economy," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 339-344.
    7. Dirk Fornahl & Nils Grashof & Alexander Kopka, 2021. "Do not neglect the periphery?! - the emergence and diffusion of radical innovations," Bremen Papers on Economics & Innovation 2102, University of Bremen, Faculty of Business Studies and Economics.
    8. Angel Sevil & Alfonso Cruz & Tomas Reyes & Roberto Vassolo, 2022. "When Being Large Is Not an Advantage: How Innovation Impacts the Sustainability of Firm Performance in Natural Resource Industries," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    9. Arianna Martinelli & Julia Mazzei & Daniele Moschella, 2022. "Patent disputes as emerging barriers to technology entry? Empirical evidence from patent opposition," LEM Papers Series 2022/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    10. Peng, Hui & Lu, Yaobin & Gupta, Sumeet, 2023. "Promoting value emergence through digital platform ecosystems: Perspectives on resource integration in China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Jacques Bughin & Nicolas van Zeebroeck, 2024. "Strategic Renewal and Corporate Return of Digital Transformation," Working Papers TIMES² 2024-071, ULB -- Universite Libre de Bruxelles.
    12. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    13. Schmidt, Arne & Walter, Sascha G. & Walter, Achim, 2010. "Contingency Factors and the Technology-Performance-Relationship in Start-ups," EconStor Preprints 37082, ZBW - Leibniz Information Centre for Economics.
    14. Violetta Wilk & Helen Cripps & Alexandru Capatina & Adrian Micu & Angela-Eliza Micu, 2021. "The state of #digitalentrepreneurship: a big data Leximancer analysis of social media activity," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1899-1916, December.
    15. 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).
    16. Roy, Pradeep K. & Singh, Jyoti P. & Baabdullah, Abdullah M. & Kizgin, Hatice & Rana, Nripendra P., 2018. "Identifying reputation collectors in community question answering (CQA) sites: Exploring the dark side of social media," International Journal of Information Management, Elsevier, vol. 42(C), pages 25-35.
    17. Schweisfurth, Tim G. & Raasch, Christina, 2018. "Absorptive capacity for need knowledge: Antecedents and effects for employee innovativeness," Research Policy, Elsevier, vol. 47(4), pages 687-699.
    18. Laurell, Christofer & Sandström, Christian, 2017. "The sharing economy in social media: Analyzing tensions between market and non-market logics," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 58-65.
    19. Ashish Sood & Gerard J. Tellis, 2011. "Demystifying Disruption: A New Model for Understanding and Predicting Disruptive Technologies," Marketing Science, INFORMS, vol. 30(2), pages 339-354, 03-04.
    20. Pedota, Mattia & Grilli, Luca & Piscitello, Lucia, 2023. "Technology adoption and upskilling in the wake of Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

    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:techno:v:123:y:2023:i:c:s0166497223000238. 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: http://www.sciencedirect.com/science/journal/01664972 .

    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.