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Event study methodologies in information systems research

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  • Konchitchki, Yaniv
  • O'Leary, Daniel E.

Abstract

Event studies are based on the theoretical framework of efficient capital markets and the notion that security prices include all information available to the market. As a result, announcements made by firms provide to market participants information that can be impounded into the market price. This paper investigates the use of event studies in information systems and accounting information systems research using a three-pronged approach. First, this paper provides a comprehensive survey of research that uses event study methodologies, where the events are announcements made by firms about issues related to information systems, e.g., announcements of the adoption of enterprise resource planning systems and of the effect of security breaches in firms' information systems. Second, this paper summarizes event study methodologies used in prior research, along with some of the key parameters and concerns associated with their implementation. Third, this paper provides remarks on key event study modeling issues, and it offers recommendations to researchers.

Suggested Citation

  • Konchitchki, Yaniv & O'Leary, Daniel E., 2011. "Event study methodologies in information systems research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 99-115.
  • Handle: RePEc:eee:ijoais:v:12:y:2011:i:2:p:99-115
    DOI: 10.1016/j.accinf.2011.01.002
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    14. Waldron, Theodore L. & Graffin, Scott D. & Porac, Joseph F. & Wade, James B., 2013. "Third-party endorsements of CEO quality, managerial discretion, and stakeholder reactions," Journal of Business Research, Elsevier, vol. 66(12), pages 2592-2599.
    15. Zhang, Jing Hua & Tam, Kwo Ping & Zhou, Nan, 2016. "Do smoking bans always hurt the gaming industry? Differentiated impacts on the market value of casino firms in Macao (China)," Economics Discussion Papers 2016-21, Kiel Institute for the World Economy (IfW Kiel).
    16. Hansol Lee & Eunkyung Kweon & Minkyun Kim & Sangmi Chai, 2017. "Does Implementation of Big Data Analytics Improve Firms’ Market Value? Investors’ Reaction in Stock Market," Sustainability, MDPI, vol. 9(6), pages 1-17, June.
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    19. Teresa Valeria Parise & Vijay Shenai, 2018. "The Value Effect of Financial Reform on U.K. Banks and Insurance Companies," IJFS, MDPI, vol. 6(3), pages 1-28, September.
    20. Hutchison, Paul D. & Daigle, Ronald J. & George, Benjamin, 2018. "Application of latent semantic analysis in AIS academic research," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 83-96.
    21. Vicentina Gomes, Liliane & Odálio dos Santos, José & Lana Silva, Cristiane & Ferreira de Souza, Maurício, 2018. "Divulgações de informações e o efeito no retorno de ações da maior empresa de educação listada na B3 (Brasil, Bolsa, Balcão) [Information disclosures and the effect on the return of stocks of the l," MPRA Paper 93123, University Library of Munich, Germany, revised 30 May 2018.
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