Social Media and Company Stock Performance: A Thematic and Bibliometric Review

Katarzyna Byrka-Kita, Renata Gola

Abstract


Theoretical background: The latent impact of the social media on company stock market performance or equity value has already been empirically studied. It is still in its infancy, although it has received increasing attention over the past few years. No efforts have yet been made to systematically review these studies in order to provide researchers and practitioners with an overview of the state-of-the-art links between social media and stock market performance of companies. This makes our work different from other recently published review papers on social media.

Purpose of the article: The goal of this paper is to review, systematize, and integrate existing research on links between social media releases and stock performance, including research production timeline, global contributions, source analysis, affiliations, author locations, and citations of studies on social media (Twitter especially). A further objective is to comprehend the conceptual and intellectual structure of the relevant literature and to identify the knowledge base of social media use in investor relations and financial communication.

Research methods: This study employs thematic and bibliometric analysis methodology on 135 peer reviewed papers obtained from two databases (Web of Science and Scopus) and provides an analysis of science mapping, including co-citation analysis, bibliometric coupling, word analysis, and trending topics regarding the relationship between social media releases and stock performance.

Main findings: Our results provide three emerging clusters: (1) company stock performance, (2) investor or sentiment analysis, (3) user-generated content and several niche topic clusters: (4) corporate governance and disclosure (5) capabilities and earnings management and (6) economic and social effects. This study indicates that social media have significantly altered the corporate information landscape. Companies and information consumers must incorporate the new channels into their information dissemination or acquisition, and decision-making processes.


Keywords


thematic analysis; bibliometric analysis; company stock performance; Twitter; social media

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References


Alalwan, A.A., Rana, N.P., Dwivedi, Y.K., & Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34(7), 1177–1190. doi:10.1016/j.tele.2017.05.008

Antweiler, W., & Frank, M.Z. (2004). Is all that talk just noise? The information content of internet stock message boards. The Journal of Finance, 59(3), 1259–1294. doi:10.1111/j.1540-6261.2004.00662.x

Aparicio, G., Iturralde, T., & Maseda, A. (2019).Conceptual structure and perspectives on entrepreneurship education research: A bibliometric review. European Research on Management and Business Economics, 25(3), 105–113. doi:10.1016/j.iedeen.2019.04.003

Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. doi:10.1016/j.joi.2017.08.007

Baker, M., & Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives, 21(2), 129–152. doi:10.1257/jep.21.2.129

Bartov, E., Faurel, L., & Mohanram, P.S. (2018). Can Twitter help predict firm-level earnings and stock returns? The Accounting Review, 93(3), 25–57. doi:10.2308/accr-51865

Bilinski, P. (2022). The content of tweets and the usefulness of YouTube and Instagram in corporate communication. European Accounting Review, ahead-of-print, 1–33. doi:10.1080/09638180.2022.2084759

Blankespoor, E., Miller, G.S., & White, H.D. (2014). The role of dissemination in market liquidity: Evidence from firms’ use of Twitter. The Accounting Review, 89(1), 79–112. doi:10.2308/accr-50576

Born, J.A., Myers, D.H., & Clark, W.J. (2017). Trump tweets and the efficient market hypothesis. Algorithmic Finance, 6(3–4), 103–109. doi:10.3233/AF-170211

Bornmann, L., Haunschild, R., & Hug, S.E. (2018). Visualizing the context of citations referencing papers published by Eugene Garfield: A new type of keyword co-occurrence analysis. Scientometrics, 114(2), 427–437. doi:10.1007/s11192-017-2591-8

Bretas, V.P., & Alon, I. (2021). Franchising research on emerging markets: Bibliometric and content analyses. Journal of Business Research, 133, 51–65. doi:10.1016/j.jbusres.2021.04.067

Brown, G.W., & Cliff, M.T. (2004). Investor sentiment and the near-term stock market. Journal of Empirical Finance, 11(1), 1–27. doi:10.1016/j.jempfin.2002.12.001

Bughin, J., & Chui, M. (2010). The rise of the networked enterprise: Web 2.0 finds its payday. McKinsey Quarterly, 4, 3–8.

Cartwright, S., Liu, H., & Raddats, C. (2021). Strategic use of social media within business-to-business (B2B) marketing: A systematic literature review. Industrial Marketing Management, 97, 35–58. doi:10.1016/j.indmarman.2021.06.005

Chodziński, M., & Laskowska-Solarz, A. (2022). Sustainable development communication and promotion: Evidence from top European football clubs. Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia, 56(1), 21–36.

Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W.M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. doi:10.1016/j.jbusres.2021.04.070

Dwivedi, Y.K., Kapoor, K.K., & Chen, H. (2015). Social media marketing and advertising. The Marketing Review, 15(3), 289–309. doi:10.1362/146934715X14441363377999

Echchakoui, S. (2020). Why and how to merge Scopus and Web of Science during bibliometric analysis: The case of sales force literature from 1912 to 2019. Journal of Marketing Analytics, 8(3), 165–184. doi:10.1057/s41270-020-00081-9

Fang, L., & Peress, J. (2009). Media coverage and the cross-section of stock returns. The Journal of Finance, 64(5), 2023–2052. doi:10.1111/j.1540-6261.2009.01493.x

Ferreira, M.P., Reis, N.R., & Pinto, C.F. (2020). Two decades of management research on emerging economies: a citation and co-citation review. International Studies of Management & Organization, 50(1), 5–26. doi:10.1080/00208825.2020.1724470

Ferreira, M.P., Santos, J.C., de Almeida, M.I.R., & Reis, N.R. (2014). Mergers & acquisitions research: A bibliometric study of top strategy and international business journals, 1980–2010. Journal of Business Research, 67(12), 2550–2558. doi:10.1016/j.jbusres.2014.03.015

Filip, A., Ghio, A., & Paugam, L. (2021). Accounting information in innovative small cap firms: Evidence from London’s alternative investment market. Accounting and Business Research, 51(4), 421–456. doi:10.1080/00014788.2020.1842168

Forliano, C., De Bernardi, P., & Yahiaoui, D. (2021). Entrepreneurial universities: A bibliometric analysis within the business and management domains, Technological Forecasting and Social Change, 165, 120522. doi:10.1016/j.techfore.2020.120522

Guerras-Martín, L.Á., Ronda-Pupo, G.A., Zúñiga-Vicente, J.Á., & Benito-Osorio, D. (2020). Half a century of research on corporate diversification: A new comprehensive framework. Journal of Business Research, 114, 124–141. doi:10.1016/j.jbusres.2020.03.037

Hensel, P. (2020). Systematyczny przegląd literatury w naukach zarządzaniu i jakości. Warszawa: Wyd. Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego.

Hewett, K., Rand, W., Rust, R.T., & Van Heerde, H.J. (2016). Brand buzz in the echoverse. Journal of Marketing, 80(3), 1–24. doi:10.1509/jm.15.0033

Hou, K., Xue, C., & Zhang, L. (2015). Digesting anomalies: An investment approach. The Review of Financial Studies, 28(3), 650–705. doi:10.1093/rfs/hhu068

Jung, M.J., Naughton, J.P., Tahoun, A., & Wang, C. (2018). Do firms strategically disseminate? Evidence from corporate use of social media. The Accounting Review, 93(4), 225–252. doi:10.2308/accr-51906

Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31(1), 7–15. doi:10.1016/0020-0190(89)90102-6

Kanwar, A., & Huang, Y.-C. (2022). Exploring the impact of social media influencers on customers’ purchase intention: A sequential mediation model in Taiwan context. Entrepreneurial Business and Economics Review, 10(3), 123–141. doi:10.15678/EBER.2022.100308

Kaplan, A.M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59–68. doi:10.1016/j.bushor.2009.09.003

Kaplan, A.M., & Haenlein, M. (2011). The early bird catches the news: Nine things you should know about micro-blogging. Business Horizons, 54(2), 105–113. doi:10.1016/j.bushor.2010.09.004

Kapoor, K.K., Tamilmani, K., Rana, N.P., Patil, P., Dwivedi, Y.K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531–558. doi:10.1007/s10796-017-9810-y

Kassem, R., Salama, A., & Ganepola, C.N. (2022). CSR, credibility, employees’ rights and legitimacy during a crisis: A critical analysis of British Airways, WizAir and EasyJet cases. Employee Relations: The International Journal, ahead-of-print. doi:10.1108/ER-11-2021-0517

Kwakye, B., & Haw, C.T. (2021). Sentiment measurement and its relationship with housing prices, review of contemporary dimensions. Review of Economics and Finance, 19, 203–211.

Lal, B., Ismagilova, E., Dwivedi, Y.K., & Kwayu, S. (2020). Return on investment in social media marketing: Literature review and suggestions for future research. In N.P. Rana, E.L. Slade, G.P. Sahu, H. Kizgin, N. Singh, B. Dey, A. Gutierrez & Y.K. Dwivedi (Eds.), Digital and Social Media Marketing – Emerging Applications and Theoretical Development (pp. 3–17). Springer. doi:10.1007/978-3-030-24374-6_1

Lam, H.K., Yeung, A.C., & Cheng, T.E. (2016). The impact of firms’ social media initiatives on operational efficiency and innovativeness. Journal of Operations Management, 47, 28–43. doi:10.1016/j.jom.2016.06.001

Lei, L.G., Li, Y., & Luo, Y. (2019). Production and dissemination of corporate information in social media: A review. Journal of Accounting Literature. doi:10.1016/j.acclit.2019.02.002

Liedong, T.A., Peprah, A.A., Amartey, A.O., & Rajwani, T. (2020). Institutional voids and firms’ resource commitment in emerging markets: A review and future research agenda. Journal of International Management, 26(3), 100756. doi:10.1016/j.intman.2020.100756

Linke, A., & Zerfass, A. (2013). Social media governance: Regulatory frameworks for successful online communications. Journal of Communication Management. doi:10.1108/JCOM-09-2011-0050

Linnenluecke, M.K., Marrone, M., & Singh, A.K. (2019). Conducting systematic literature reviews and bibliometric analyses. Australian Journal of Management, 45(2), 175–194. doi:10.1177/0312896219877678

López-Duarte, C., Vidal-Suárez, M.M., González-Díaz, B., & Rosa Reis, N. (2016). Understanding the relevance of national culture in international business research: A quantitative analysis. Scientometrics, 108(3), 1553–1590. doi:10.1007/s11192-016-2044-9

Luo, X., Zhang, J., & Duan, W. (2013). Social media and firm equity value. Information Systems Research, 24(1), 146–163. doi:10.1287/isre.1120.0462

Maia, S.C., de Benedicto, G.C., do Prado, J.W., Robb, D.A., de Almeida Bispo, O.N., & de Brito, M.J. (2019). Mapping the literature on credit unions: A bibliometric investigation grounded in Scopus and Web of Science. Scientometrics, 120(3), 929–960. doi:10.1007/s11192-019-03165-1

Maqsood, H., Mehmood, I., Maqsood, M., Yasir, M., Afzal, S., Aadil, F., ... & Muhammad, K. (2020). A local and global event sentiment based efficient stock exchange forecasting using deep learning. International Journal of Information Management, 50, 432–451. doi:10.1016/j.ijinfomgt.2019.07.011

Nisar, T.M., & Whitehead, C. (2016). Brand interactions and social media: Enhancing user loyalty through social networking sites. Computers in Human Behavior, 62, 743–753. doi:10.1016/j.chb.2016.04.042

Nisar, T.M., & Yeung, M. (2018). Twitter as a tool for forecasting stock market movements: A short-window event study. The Journal of Finance and Data Science, 4(2), 101–119. doi:10.1016/j.jfds.2017.11.002

Olanrewaju, A.S.T., Hossain, M.A., Whiteside, N., & Mercieca, P. (2020). Social media and entrepreneurship research: A literature review. International Journal of Information Management, 50, 90–110. doi:10.1016/j.ijinfomgt.2019.05.011

Oliveira, N., Cortez, P., & Areal, N. (2016). Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decision Support Systems, 85, 62–73. doi:10.1016/j.dss.2016.02.013

Özdurak, C., & Ulusoy, V. (2020). Spillovers from the slowdown in China on financial and energy markets: An application of VAR-VECH-TARCH models. International Journal of Financial Studies, 8(3), 52. doi:10.3390/ijfs8030052

Paniagua, J., & Sapena, J. (2014). Business performance and social media: Love or hate? Business Horizons, 57(6), 719–728. doi:10.1016/j.bushor.2014.07.005

Paul, N., & Sui, M. (2022). I can feel what you feel: Emotion exchanges in Twitter conversations between candidates and the public. Journal of Political Marketing, 21(2), 175–195. doi:10.1080/15377857.2019.1684419

Pinto, G., Rastogi, S., Kadam, S., & Sharma, A. (2020). Bibliometric study on dividend policy. Qualitative Research in Financial Markets, 12(1), 72–95. doi:10.1108/QRFM-11-2018-0118

Prokofieva, M. (2015). Twitter-based dissemination of corporate disclosure and the intervening effects of firms’ visibility: Evidence from Australian-listed companies. Journal of Information Systems, 29(2), 107–136. doi:10.2308/isys-50994

Ramassa, P., & Di Fabio, C. (2016). Social media for investor relations: A literature review and future directions. International Journal of Digital Accounting Research, 16.

Ranco, G., Aleksovski, D., Caldarelli, G., Grčar, M., & Mozetič, I. (2015). The effects of Twitter sentiment on stock price returns. PLOS ONE, 10(9), e0138441. doi:10.1371/journal.pone.0138441

Reis, N.R., Carvalho, F.M.P.O., & Ferreira, J.V. (2019). Cross-border mergers and acquisitions: A bibliometric review and future research avenues. International Journal of Bibliometrics in Business and Management, 1(3), 189–213. doi:10.1504/IJBBM.2019.097725

Saxton, G.D. (2012). New media and external accounting information: A critical review. Australian Accounting Review, 22(3), 286–302. doi:10.1111/j.1835-2561.2012.00176.x

Schmidt, C.G., Wuttke, D.A., Ball, G.P., & Heese, H.S. (2020). Does social media elevate supply chain importance? An empirical examination of supply chain glitches, Twitter reactions, and stock market returns. Journal of Operations Management, 66(6), 646–669. doi:10.1002/joom.1087

Schweidel, D.A., & Moe, W.W. (2014). Listening in on social media: A joint model of sentiment and venue format choice. Journal of Marketing Research, 51(4), 387–402. doi:10.1509/jmr.12.0424

Sprenger, T.O., Tumasjan, A., Sandner, P.G., & Welpe, I.M. (2014a). Tweets and trades: The information content of stock microblogs. European Financial Management, 20(5), 926–957. doi:10.1111/j.1468-036X.2013.12007.x

Sprenger, T.O., Sandner, P.G., Tumasjan, A., & Welpe, I.M. (2014b). News or noise? Using Twitter to identify and understand company-specific news flow. Journal of Business Finance & Accounting, 41(7–8), 791–830. doi:10.1111/jbfa.12086

Statista. (2022a). Number of global social network users 2018–2027. Retrieved from https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users/

Statista. (2022b). Worldwide digital population July 2022. Retrieved from https://www.statista.com/statistics/617136/digital-population-worldwide/

Su, H.N., & Lee, P.C. (2010). Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65–79. doi:10.1007/s11192-010-0259-8

Sul, H.K., Dennis, A.R., & Yuan, L. (2017). Trading on Twitter: Using social media sentiment to predict stock returns. Decision Sciences, 48(3), 454–488. doi:10.1111/deci.12229

Tetlock, P.C., Saar-Tsechansky, M., & Macskassy, S. (2008). More than words: Quantifying language to measure firms’ fundamentals. The Journal of Finance, 63(3), 1437–1467. doi:10.1111/j.1540-6261.2008.01362.x

Urbanek, G. (2022). Rudiments of sustainable competitive advantage in the digital age. Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia, 56(5), 247–263. doi:10.17951/h.2022.56.5.247-263

Verma, S., & Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253–261. doi:10.1016/j.jbusres.2020.06.057

Vrontis, D., Christofi, M., Battisti, E., & Graziano, E.A. (2021). Intellectual capital, knowledge sharing and equity crowdfunding. Journal of Intellectual Capital, 22(1), 95–121. doi:10.1108/JIC-11-2019-0258

Wereda, W. (2021). The role of social media in the enterprise’s communication with its stakeholders. Annales Universitatis Mariae Curie-Skłodowska, sectio H – Oeconomia, 55(3), 133–146. doi:10.17951/h.2021.55.3.133-146

Yu, Y., Duan, W., & Cao, Q. (2013). The impact of social and conventional media on firm equity value: A sentiment analysis approach. Decision Support Systems, 55(4), 919–926. doi:10.1016/j.dss.2012.12.028




DOI: http://dx.doi.org/10.17951/h.2023.57.3.33-55
Date of publication: 2023-12-11 07:08:15
Date of submission: 2023-03-13 15:59:29


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