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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 管理學院企業管理專班(Global MBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92562
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dc.contributor.advisor許文馨zh_TW
dc.contributor.advisorWen-Hsin Hsuen
dc.contributor.author陳暉叡zh_TW
dc.contributor.authorHui-Jui Chenen
dc.date.accessioned2024-04-16T16:13:45Z-
dc.date.available2024-04-17-
dc.date.copyright2024-04-16-
dc.date.issued2024-
dc.date.submitted2024-04-12-
dc.identifier.citationArkhypov, O., & Skyba, A. (2014). Methods and Approaches to Investigating Information Risks by Means of Economic Cost Models. The Advanced Science Journal, 2(12), 75-82.
Baryshnikov, Y. (2012). IT Security Investment and Gordon-Loeb''s 1/e Rule. WEIS.
Becker, G. S. (1968). Crime and Punishment: An Economic Approach. Journal of Political Economy, 169-217.
Befring, A. (2021). Norwegian Biobanks: Increased Complexity with GDPR and National Law. GDPR and Biobanking: Individual Rights, Public Interest and Research Regulation across Europe, 323-334.
Cissé, S. (2023, 11 30). France - Data Protection Overview. Retrieved from OneTrust Data Guidance: https://www.dataguidance.com/notes/france-data-protection-overview
Commission Nationale de l’Informatique et des Libertés. (2020, November 18). Délibération SAN-2020-008 du 18 novembre 2020. Retrieved from Légifrance: https://www.legifrance.gouv.fr/cnil/id/CNILTEXT000042563756
Cory, N., Elysse, D., & Castro, D. (2020). The role and value of standard contractual clauses in EU-US digital trade. Information Technology and Innovation Foundation.
Daigle, B., & Khan, M. (2022). The Changing Tides of Data Protection Regulation and Enforcement in Europe. Office of Industries, US International Trade Commission.
Ermicioi, N., & Liu, X. (2021). An Interdisciplinary Study of Cybersecurity Investment in the Nonprofit Sector. American Journal of Management, 21(5), 39-50.
European Commission. (2015, December 15). Agreement on Commission''s EU data protection reform will boost Digital Single Market. Brussels, Belgium. Retrieved from https://ec.europa.eu/commission/presscorner/detail/en/IP_15_6321
FAIR Institute. (2024, February). FAIR Risk Management. Retrieved from FAIR Institute: https://www.fairinstitute.org/fair-risk-management
Fang, Z., Xu, M., Xu, S., & Hu, T. (2021). A framework for predicting data breach risk: Leveraging dependence to cope with sparsity. IEEE Transactions on Information Forensics and Security.
GDPR.EU. (2019). 2019 GDPR Small Business Survey. Proton Technologies AG.
Gordon, L., & Loeb, M. (2002). The Economics of Information Security Investment. ACM Transactions on Information and System Security, 5(4), 438–457.
Heal, G., & Kunreuther, H. (2003). Interdependent security. Journal of Risk and Uncertainty.
Information Commissioner''s Office. (2020, 10 16). PENALTY NOTICE Section 155, Data Protection Act 2018. Retrieved from Information Commissioner''s Office: https://ico.org.uk/media/action-weve-taken/mpns/2618421/ba-penalty-20201016.pdf
Invicti Security Corp. (2018, 4 12). Netsparker Surveys US Based C-Levels on GDPR Compliance. Retrieved from Invicti: https://www.invicti.com/blog/web-security/gdpr-compliance-2018-survey-results/
Ke, T., & Sudhir, K. (2023). Privacy rights and data security: Gdpr and personal data markets. Management Science, 4389-4412.
Koski, H., & Valmari, N. (2020). Short-term Impacts of the GDPR on Firm Performance. ETLA Working Papers(77).
Latham & Watkins LLP. (2023, 12). GDPR Derogations Tracker. Retrieved from GDPR Resource Center: https://gdpr.lw.com/Home/Derogations
Linden, T., Khandelwal, R., Harkous, H., & Fawaz, K. (2018). The Privacy Policy Landscape After the GDPR. arXiv preprint arXiv:1809.08396.
Mc Cullagh, K., Tambou, O., & Bourton, S. (2019). National Adaptations of the GDPR. Blogdroiteuropéen.
Polinsky, A., & Shavell, S. (1979). The Optimal Tradeoff between the Probability and Magnitude of Fines. The American Economic Review, 880-891.
Polinsky, A., & Shavell, S. (2000). The Economic Theory of Public Enforcement of Law. Journal of Economic Literature, 45-76.
Saxena, A. (2023, 10 4). Budgeting for GDPR: How Much Does a GDPR Compliance Cost? Retrieved from Sprinto: https://sprinto.com/blog/gdpr-compliance-cost/
Seo, J., Kim, K., Park, M., Park, M., & Lee, K. (2018). An analysis of economic impact on IoT industry under GDPR. Mobile Information Systems, 1-6.
Shinoda, S., & Matsuura, K. (2016). Empirical investigation of threats to loyalty programs by using models inspired by the Gordon-Loeb formulation of security investment. Journal of Information Security, 7(2), 29-48.
Wang, J., Neil, M., & Fenton, N. (2020). A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model. Computers & Security, 89.
Willemson, J. (2006). On the Gordon & Loeb model for information security investment. WEIS.
Young, D., Lopez, J., Rice, M., Ramsey, B., & McTasney, R. (2016). A framework for incorporating insurance in critical infrastructure cyber risk strategies. International Journal of Critical Infrastructure Protection, 14, 43-57.
Zanker, M., Bures, V., Cierniak-Emerych, A., & Nehez, M. (2021). The GDPR at the organizational level: a comparative study of eight European countries. E & M Ekonomie a Management, 207-222.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/92562-
dc.description.abstract一般個人資料保護規則(GDPR)為歐盟針對境內個人資料蒐集、處理之管制規範,並適用於所有歐盟及其他歐洲國家居民之個人資料。GDPR 對於個人資料有相當廣泛的定義,並適用於歐盟境外、有收集境內居民個資的事業。有鑑於違反該規則之單位將面臨至多 4%年營收或二千萬歐元的罰款,企業有必要衡量法遵之成本與效益。然而,罰金之上限無法完全述說 GDPR 對個資管制之影響或投入法遵之考量。
本論文參考違反 GDPR 所載之個資所有人權益、資安保護措施不足之相關案例以論述其執法過程與財務影響,並彙整新法上路後前四年(2018~2021 年)之裁罰案件,再使用戈登-洛布模型(Gordon-Loeb model)來估計法遵之成本。戈登-洛布模型為資訊安全投資的一個經濟模型,用於敘述事業平衡與優化其資安風險與投資成本。按照戈登-洛布模型之 37%規則,適用 GDPR 公司未進行資安投資而遭受裁罰的風險可介於 60%~80%,裁罰金額也介於 10 萬(小公司)至 400 萬歐元(大公司),進而顯示 GDPR 之執行環境相對嚴格並為適用之企業所重視。
zh_TW
dc.description.abstractThe General Data Protection Regulation (GDPR) is a European Union regulation that regulates the processing of personal data of residents of the European Union and several other European countries. It features broader definition on personal data and requires compliance from entities regardless of their country of origin as long as they process European personal data. As noncompliant entities can be subject to penalties up to the greater of 20 million Euro or 4% of their annual turnover, assessment of compliance cost is salient to every commercial enterprise that makes direct or indirect use of European personal data. However, the upper limit of the fines does not provide the complete description of the enforcement environment or the risk calculations of investing into GDPR compliance.
This thesis makes use of several actual examples of GDPR violations involving insufficient fulfillment of data subject rights and insufficient technical measures of data processing (data breach) in order to illustrate the enforcement process, the nature of the violations, and the financial impacts on the violators. Then it estimates the compliance cost using the Gordon-Loeb model, which is an economic model on firm’s optimization decision on cybersecurity risks and investment. It is determined that under the Gordon-Loeb model’s 37% rule, the compliance spending among the companies would imply a 60% to 80% ex ante vulnerability. The high ex ante vulnerability, coupled with the penalty of around 100,000 Euro for small firms and 4,000,000 Euro for large firms, is indicative of a rigorous enforcement environment that warrants serious attention by companies.
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dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2024-04-16T16:13:45Z
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dc.description.provenanceMade available in DSpace on 2024-04-16T16:13:45Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontentsAcknowledgement i
中文摘要 ii
Abstract iii
Contents iv
List of Figures vi
List of Table vii
Chapter 1 Introduction 1
1.1 Motivation 4
1.2 Research Question 5
1.3 Methodology 5
Chapter 2 Literature Review 6
2.1 Gordon-Loeb Model 7
2.2 Interdependent Security Problem 13
2.3 Modeling of Security Breach Probability 15
2.4 Assessing the Impact of GDPR 17
Chapter 3 Cases 19
3.1 Carrefour France (2020) 19
3.2 British Airways (2020) 22
Chapter 4 Model 27
4.1 Modification of Gordon-Loeb Model 27
4.2 Compliance Cost 31
Chapter 5 Data 33
5.1 GDPR Enforcement Tracker 33
5.2 Summary Statistics 35
5.3 GDPR expenditure 43
Chapter 6 Analysis 46
6.1 Economic Impact 46
6.2 Variation among Countries 49
Chapter 7 Conclusion 51
7.1 Key Findings 51
7.2 Recommendations and Limits 53
References 55
Appendix A GDPR Description 59
A.1 GDPR Articles 59
A.2 GDPR Adoption in European Countries 67
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dc.language.isoen-
dc.subject戈登-洛布模型zh_TW
dc.subject一般個人資料保護規則zh_TW
dc.subject法遵zh_TW
dc.subjectlegal complianceen
dc.subjectGDPRen
dc.subjectGordon-Loeb modelen
dc.title歐盟一般資料保護規則法遵投資之探討zh_TW
dc.titleModeling the Investment Decision in the General Data Protection Regulation (GDPR) Complianceen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee堯里昂;鄭名道zh_TW
dc.contributor.oralexamcommitteeLeon van Jaarsveldt;Ming-Daw Chengen
dc.subject.keyword一般個人資料保護規則,戈登-洛布模型,法遵,zh_TW
dc.subject.keywordGDPR,Gordon-Loeb model,legal compliance,en
dc.relation.page74-
dc.identifier.doi10.6342/NTU202400839-
dc.rights.note同意授權(限校園內公開)-
dc.date.accepted2024-04-15-
dc.contributor.author-college管理學院-
dc.contributor.author-dept企業管理碩士專班-
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