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http://dx.doi.org/10.13088/jiis.2019.25.2.099

The effect of Big-data investment on the Market value of Firm  

Kwon, Young jin (Graduate School of Business, Hanyang University)
Jung, Woo-Jin (Barun ICT Research Center, Yonsei University)
Publication Information
Journal of Intelligence and Information Systems / v.25, no.2, 2019 , pp. 99-122 More about this Journal
Abstract
According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.
Keywords
Big-data investment; firm value; market reaction; efficient market hypothesis; event study;
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1 Jang, H. S. and B. G. Gyou, "A Study on the Economic Value of Firm'S Big Data Technologies Introduction Using Real Option Approach - Based on YUYU Pharmaceuticals Case," Korean Society For Internet Information, Vol.15, No.6(2014), 15-26.
2 Jewell, D, "Performance and Capacity Implications For Big Data," 2014, IBM Report.
3 Jin, X., Wah, B. W., Cheng, X., and Wang, Y. "Significance and Challenges of Big Data Research," Big Data Research, Vol.2, No.2(2015), 59-64.   DOI
4 Jong, A., and Naumovska, I., "A Note on Event Studies In Finance and Management Research," Review of Finance, Vol. 20, No.4(2015), 1659-1672.   DOI
5 Kim, G. H., Trimi, S., and Chung, J. H. "Big-Data Applications In the Government Sector," Communications of the ACM, Vol.57, No.3(2014), 78-85.   DOI
6 Kolari, J.W., and Pynnonen, S., "Event Study Testing With Cross-Sectional Correlation of Abnormal Returns," the Review of Financial Studies, Vol. 23, No.11(2010), 3996-4025.   DOI
7 Lee, H., Kweon, E., Kim, M., and Chai, S., "Does Implementation of Big Data Analytics Improve Firm's Market Value? Investors' Reaction In Stock Market," Sustainability, Vol.9, No.6(2017), 978-994.   DOI
8 MCKINSEY GLOBAL INSTITUTE. (2016). "THE AGE OF ANALYTICS: COMPETING IN A DATA-DRIVEN WORLD"
9 Oh, W., Gallivan, M. J., and Kim, J.W., "the Market's Perception of the Transactional Risks of Information Technology Outsourcing Announcements," Journal of Management Information Systems, Vol. 22, No.4(2006), 271-303.   DOI
10 Agrawal, M., Kishore, R. and Rao, H.R. "Market Reactions to E-Business Outsourcing Announcements: An Event Study," Information & Management, Vol. 43, No.7(2006), 861-873.   DOI
11 Aktas, N., De Bodt, E., & Cousin, J. G. "Idiosyncratic Volatility Change and Event Study Tests," Finance, Vol.30, No.2(2009), 31-61.   DOI
12 Alkhatib, A., and Harasheh, M. "Performance of Exchange Traded Funds during the Brexit Referendum: An Event Study," International Journal of Financial Studies, Vol.6, No.3(2018), 64.   DOI
13 Armitage, S., "Event Study Methods and Evidence on their Performance," Journal of Economic Surveys, Vol. 9, No.1(1995), 25-52.   DOI
14 Aubert, B., Patry, M., and Rivard, S. "Assessing the Risk of IT Outsourcing," Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences, (1998), 685-692.
15 Shah, P., and Parvinder, A., "M&A Announcements and their Effect on Return to Shareholders: An Event Study," Accounting and Finance Research, Vol.3, No.2(2014), 170.
16 Prasanna, T. "Big Data Investment, Skills, and Firm Value," Management Science, Vol. 60, No.6(2014), 1452-1469.   DOI
17 Raghavendra, R., Ranganathan, P., Talwar, V., Wang, Z., and Zhu, X. "No Power Struggles: Coordinated Multi-Level Power Management For the Data Center," ACM SIGARCH Computer Architecture News, Vol. 36, No.1(2008), 48-59.   DOI
18 Savickas, R. "Event-induced Volatility and Tests for Abnormal Performance," Journal of Financial Research, Vol.26, No.2(2003), 165-178.   DOI
19 Sivarajah, U., Kamal, M. M., Irani, Z., and Weerakkody, V. "Critical Analysis of Big Data Challenges and Analytical Methods," Journal of Business Research, Vol.70(2017), 263-286.   DOI
20 Sood, A., and Tellis, G.J., "Do Innovations Really Pay off total Stock Market Returns to Innovation," Marketing Sciene, Vol.28, No.3(2009), 442-456.   DOI
21 Sorescu, A., Nooshin, L.W., and Larisa, E., "Event Study Methodology In the Marketing Literature: An Overview," Journal of the Academy of Marketing Science, Vol. 45, No.2(2017), 186-207.   DOI
22 Spoel, V.D., Chintan, A., and Hillegersberg, V., "Predictive Analytics For Truck Arrival Time Estimation: A Field Study At A European Distribution Center," International Journal of Production Research, Vol. 55, No.17(2017), 5062-5078.   DOI
23 Strong, N. "Modelling Abnormal Returns: A Review Article," Journal of Business Finance & Accounting, Vol.19, No.4(1992), 533-553.   DOI
24 Bondt, W.F.M., and Thaler, R., "Does the Stock Market Overreact?" the Journal of Finance, Vol. 40, No.3(1985), 793-805.   DOI
25 Barbierato, E., Gribaudo, M., and Iacono, M. "Performance Evaluation of Nosql Big-Data Applications Using Multi-Formalism Models," Future Generation Computer Systems, Vol.37(2014), 345-353.   DOI
26 Barnaghi, P., Sheth, A., and Henson, C. "From Data to Actionable Knowledge: Big Data Challenges In the Web of Things," IEEE Intelligent Systems, Vol.28, No.6(2013), 6-11.   DOI
27 Boehmer, E., Masumeci, J., & Poulsen, A. B. "Event-study Methodology under Conditions of Event-induced Variance," Journal of financial economics, Vol.30, No.2(1991), 253-272.   DOI
28 Brown, S. J. "the Number of Factors In Security Returns," the Journal of Finance, Vol.44, No.5(1989), 1247-1262.   DOI
29 Brown, S. J., and Warner, J. B. "Measuring Security Price Performance," Journal of Financial Economics, Vol.8, No.3(1980), 205-258.   DOI
30 Brynjolfsson, E., Hitt,L.M., and Kim, H.H., "Strength In Numbers: How Does Data-Driven Decisionmaking Affect Firm Performance?" (2011).
31 C. Ranganathan, and C. Brown "ERP Investments and the Market Value of Firms: toward An Understanding of Influential ERP Project Variables," Information Systems Research, Vol.17, (2006), 145-161.   DOI
32 Chai, S., Kim, M., and Rao, R.H.,"Firms' Information Security Investment Decisions: Stock Market Evidence of Investor's Behavior," Decision Support Systems, Vol. 50, No.4(2011), 651-661.   DOI
33 Dos Sanlos, B., Peffers, K., and Mauer, D., "the Impact of IT Investment Announcements on the Market Value of the Firm," Information Systems Research, Vol. 4, No.1(1993). 1-23.   DOI
34 Techamerica Foundation's Federal Big Data Commission, Demystifying Bigdata: A Practical Guide to Transforming the Business of Government, 2012, Available At Http://Www.Techamerica.org/Docs/Filemanager.Cfm?F=Techamerica-Bigdatareport-Final.PdfVanboskirk/ (Downloaded 15 October, 2017)
35 Chaterjee, D., Pacini, C., and Sambamurthy, V., "the Shareholder-Wealth and Trading Volume Effects of Information Technology Infrastructure Investments," Journal of Management Information Systems, Vol. 19, No.2(2002), 7-42.   DOI
36 Dann, L.Y., and Mikkelson, W.H., "Convertible Debt Issuance, Capital Structure Change and Financing-Related Information: Some New Evidence," Journal of Financial Economics, Vol. 13, No.2(1984), 157-186.   DOI
37 De Mauro, A., Greco, M., and Grimaldi, M., "What Is Big Data? A Consensual Definition and A Review of Key Research topics," AIP Conference Proceedings, Vol.1644, No.1(2015), 97-104.   DOI
38 Dehning, B., Richardson, V.J., and Zmud, R.W., "the Value Relevance of Announcements of Transformational Information Technology Investments," MIS Quarterly, Vol. 27, No.4(2003), 637-656.   DOI
39 Dyckman, T., Donna, P., and Jens, S., "A Comparison of Event Study Methodologies Using Daily Stock Returns: A Simulation Approach," Journal of Accounting Research, Vol. 22(1984), 1-30.   DOI
40 EMC Digital Universe With Research and Analysis By IDC. (2011). "the Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things", International Data Corporation.
41 Fama, F. U., "Efficient Capital Markets: A Review of theory and Empirical Work," the Journal of Finance, Vol. 25, No.2(1970), 383-417.   DOI
42 Flannery, M.J. "Asymmetric Information and Risky Debt Maturity Choice," the Journal of Finance, Vol.41, No.1, (1986), 19-37.   DOI
43 Han, J. Y., C. H. Cho, I. S. Son, "An Empirical Study on Corporate Use of Big Data - the Case of Integrated Customer Log System At A Korean Home Shopping Firm," Korea Internet E-Commerce Association, Vol.15, No.6(2015), 1-19.
44 Gandomi, A., and Haider, M., "Beyond the Hype: Big Data Concepts, Methods, and Analytics", International Journal of Information Management, Vol. 35, No.2(2015), 137-144.   DOI
45 Gu, L., Zeng, D., Li, P., and Guo, S. "Cost Minimization For Big Data Processing In Geo-Distributed Data Centers," IEEE Transactions on Emerging topics In Computing, Vol.2, No.3(2014), 314-323.   DOI
46 Gurbaxani, V., and Whang, S. "the Impact of Information Systems on organizations and Markets. Communications of the ACM, Vol.34, No.1, (1991), 59-73.   DOI
47 Hayes, D., C., James, E.H., and Jacqueline, L.R., "Information Systems Outsourcing Announcements: Investigating the Impact on the Market Value of Contract-Granting Firms," Journal of Information Systems, Vol.14, No.2(2000), 109-125.   DOI
48 Hayes, D.C., Hunton, J.E. and Reck, J.L., "Market Reaction to ERP Implementation Announcements," Journal of Information Systems, Vol. 15, No.1(2001), 3-18.   DOI
49 Hayes, D.C., Hunton, J.E., and Reck, J.L., "Information Systems Outsourcing Announcements: Investigating the Impact on the Market Value of Contract-Granting Firms," Journal of Information Systems, Vol. 14, No.2(2000), 109-125.   DOI
50 IDC White Paper, Sponsored By Seagate. (2017). "Data Age 2025: the Evolution of Data to Life-Critical, Don't Focus on Big Data; Focus on the Data That's Big".
51 Im, K., Dow, E.K., and Grover, V, "Research Report: A Reexamination of IT Investment and the Market Value of the Firm - An Event Study Methodology," Information System Research, Vol. 12, No.1(2001), 103-117.   DOI