判斷永續報告書段落是否與BRIBERY & FRAUD指標相關之研究

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蘇奕維(Yi-Wei-Su) 查詢紙本館藏

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企業管理學系

論文名稱

判斷永續報告書段落是否與BRIBERY & FRAUD指標相關之研究

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摘要(中)

目前台灣金融監督管理委員會(金管會)要求 2023 年起實收資本額達 20 億元的上市櫃公司，必須編製和申報永續報告書。2025 年起實收資本額不到 20 億元上市櫃公司也將編製永續報告書。(公司治理 3.0-永續發展藍圖，2020)由此得知眾多企業會投入資源編製永續報告書。
目前眾多企業為因應金管會規範，今年必須發布永續報告書，因而需要投
入更多資源編制永續報告書。但是對於剛踏入永續產業的企業，要理解永續產
業發展的框架準則，並遵循製作出永續報告書，著實是一項艱難的挑戰。因此
很多台灣企業仰賴顧問業協助編制永續報告書。在台灣顧問業的作法，傾向找
尋產業的知名永續獎，獲獎的標竿企業，再參照獲獎企業的作法，編製其企業
永續報告書，因而需要參照大量標竿企業永續報告書段落。
因此本研究使用 MSCI ESG KLD STATS 資料，以及各企業發布的永續報告書，使用兩種基於 BERT 的相關方法判斷永續報告書中的段落是否與 BRIBERY & FRAUD 定義相關，試圖將報告書中的段落和 MSCI 評級機構指標 BRIBERY & FRAUD 的定義做比較，判斷永續報告書中的段落是否與 BRIBERY & FRAUD 定義相關。期望製作一套流程提供企業預檢視工具協助中小型企業快速撰寫在 BRIBERY & FRAUD 指標下，符合之永續作為，也可找出產業的最佳典範。

摘要(英)

Currently, the Financial Supervisory Commission (FSC) of Taiwan requires listed companies with a paid-in capital of at least 2 billion NTD to prepare and disclose sustainability reports starting from 2023. Starting from 2025, even listed companies with a paid-in capital of less than 2 billion NTD will be required to prepare sustainability reports. (Corporate Governance 3.0 - Sustainable Development Blueprint, 2020) This indicates that many companies will allocate resources to prepare sustainability reports.
In order to comply with the FSC regulations and publish sustainability reports this year, numerous companies need to invest more resources in preparing these reports. However, for companies that are new to the sustainable industry, understanding the framework and guidelines for sustainable development and following them to create a sustainability report can be a challenge. Therefore, many Taiwanese companies rely on consulting firms to assist them in preparing sustainability reports. In Taiwan, consulting firms tend to seek renowned sustainability awards within the industry and refer to the practices of benchmarking companies that have received such awards to compile their own sustainability reports. Consequently, they need to refer to a large number of paragraphs from benchmarking company sustainability reports.
To address this, this study utilizes MSCI ESG KLD STATS data and sustainability reports published by various companies. By using BERT to develop a classifier, the aim is to compare the paragraphs in the reports with the definition of the BRIBERY & FRAUD indicator provided by the MSCI rating agency. This comparison will help determine whether the paragraphs in the sustainability reports are relevant to the definition of BRIBERY & FRAUD, it hoped to develop a process and provide enterprise pre-inspection tools to help small and medium-sized enterprises quickly write sustainable indicators that meet the requirements of BRIBERY & FRAUD, and also find the best samples in the industry.

關鍵字(中)

★ Sustainability Report
★ BERT Fine-Tuning Tasks
★ MSCI ESG KLD STATS
★ Imbalance Data
★ Focal Loss
★ Sentence Pair Similarity
★ Cosine Similarity

關鍵字(英)

★ Sustainability Report
★ BERT Fine-Tuning Tasks
★ MSCI ESG KLD STATS
★ Imbalance Data
★ Focal Loss
★ Sentence Pair Similarity
★ Cosine Similarity

論文目次

摘要...................................... 1
Abstract ................................ 2
誌謝...................................... 4
目錄...................................... 5
圖目錄.................................... 7
表目錄.................................... 0
第一章緒論................................ 1
1-1 研究背景 .............................. 1
1-2 研究動機 .............................. 2
1-3 研究目的 .............................. 3
1-4 研究架構 .............................. 4
第二章文獻探討............................. 5
2-1 企業社會責任 ........................... 5
2-2 永續報告書之相關研究 .................... 6
2-3 永續報告書文字探勘之相關研究 ............. 7
2-4 BERT 語言模型目前在文本分析上之重要性 ......8
2-5 BERT 之 Sentence Pair Classification 應用相關研究 ......9
第三章研究方法..............................10
3-1 研究流程 ...............................10
3-2 BERT ..................................12
3-3 Sentences Pair Similarity..............15
3-4 Imbalance Data : Focal Loss ...........16
第四章研究實驗..............................19
4-1 永續報告書搜集 ..........................19
4-2 資料分段化 ..............................23
4-3 BERT 模型 1 ............................24
4-4 BERT 模型 2 ............................32
4-5 實驗結果與分析 ...........................36
第五章結論與未來研究之建議.....................37
5-1 研究結論 ................................37
5-2 研究限制與未來建議 ........................38
參考文獻.....................................39
附錄.........................................43

參考文獻

[1.]Cheng, B., Ioannou, I., & Serafeim, G. (2014). Corporate social responsibility and access to finance. Strategic management journal, 35(1), 1-23.
[2.] Sheldon, O. (1924). The philosophy of management. Sir I. Pitman.
[3.] Carroll, A. B. (1991). The pyramid of corporate social responsibility: Toward the moral management of organizational stakeholders. Business horizons, 34(4), 39-48. [4.] Baier, P., Berninger, M., & Kiesel, F. (2020). Environmental, social and governance reporting in annual reports: A textual analysis. Financial Markets, Institutions & Instruments, 29(3), 93-118.
[5.]Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.
[6.] Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint [7.]Henning, S., Beluch, W. H., Fraser, A., & Friedrich, A. (2022). A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing. arXiv preprint arXiv:2210.04675.
[8.]Lin, T. Y., Goyal, P., Girshick, R., He, K., & Dollár, P. (2017). Focal loss for dense object detection. In Proceedings of the IEEE international conference on computer vision (pp. 2980-2988).
[9.] Chen, S., Song, Y., & Gao, P. (2023). Environmental, social, and governance (ESG) performance and financial outcomes: Analyzing the impact of ESG on financial performance. Journal of Environmental Management, 345, 118829.
[10.] Spinder, S., Frasincar, F., Matsiiako, V., Boekestijn, D., & Brandt, T. (2023). A text mining approach to identifying sustainability in the private sector. Computers in Industry, 149, 103932.
[11.] Durand, R., Paugam, L., & Stolowy, H. (2019). Do investors actually value
sustainability indices? Replication, development, and new evidence on CSR
visibility. Strategic Management Journal, 40(9), 1471-1490.
[12.] Yang, Z., Yang, D., Dyer, C., He, X., Smola, A., & Hovy, E. (2016, June).
Hierarchical attention networks for document classification. In Proceedings of the 2016
conference of the North American chapter of the association for computational
linguistics: human language technologies (pp. 1480-1489).
[13.] Siew, R. Y. (2015). A review of corporate sustainability reporting tools
(SRTs). Journal of environmental management, 164, 180-195.
[14.] Hillman, A. J., & Keim, G. D. (2001). Shareholder value, stakeholder management,
and social issues: what′s the bottom line?. Strategic management journal, 22(2), 125-
139.
[15.] Pacini, C., Rogers, H., & Swingen, J. (2002). The OECD convention on combating
bribery of foreign public officials in international business transactions: A new tool to
promote transparency in financial reporting. Advances in International Accounting, 15,
121-153.
[16.] George, B. C., Lacey, K. A., & Birmele, J. (1999). The 1998 OECD Convention:
An impetus for worldwide changes in attitudes toward corruption in business
transactions. Am. Bus. LJ, 37, 485.
[17.] Rivera, S. J., Minsker, B. S., Work, D. B., & Roth, D. (2014). A text mining
framework for advancing sustainability indicators.Environmental Modelling &
Software, 62, 128-138.
[18.]Sebestyén, V., Domokos, E., & Abonyi, J. (2020). Focal points for sustainable
development strategies—Text mining-based comparative analysis of voluntary national
reviews. Journal of Environmental Management, 263, 110414.
[19.] Te Liew, W., Adhitya, A., & Srinivasan, R. (2014). Sustainability trends in the process industries: A text mining-based analysis. Computers in Industry, 65(3), 393- 400.
[20.] Chwiłkowska-Kubala, A., Cyfert, S., Mierzejewska, K., & Prause, G. (2023). What drives organizational agility in energy sector companies? The role of strategic CSR initiatives and the dimensions of proactive CSR. Sustainable Futures, 100133. Vm,
[21.]Power, M. (2013). The apparatus of fraud risk. Accounting, organizations and society, 38(6-7), 525-543.
[22.]Yang, Z., Dai, Z., Yang, Y., Carbonell, J., Salakhutdinov, R. R., & Le, Q. V. (2019). Xlnet: Generalized autoregressive pretraining for language understanding. Advances in neural information processing systems, 32.
[23.] Ashwin Kumar, N. C., Smith, C., Badis, L., Wang, N., Ambrosy, P., & Tavares, R. (2016). ESG factors and risk-adjusted performance: a new quantitative model. Journal of Sustainable Finance & Investment, 6(4), 292-300.
[24.] Lu, G., Liu, Y., Wang, J., & Wu, H. (2023). CNN-BiLSTM-Attention: A multi- label neural classifier for short texts with a small set of labels. Information Processing & Management, 60(3), 103320.
[25.] Satti, F. A., Hussain, M., Ali, S. I., Saleem, M., Ali, H., Chung, T. C., & Lee, S. (2023). A semantic sequence similarity based approach for extracting medical entities from clinical conversations. Information Processing & Management, 60(2), 103213. [26.] 蘇天寅(2010)。企業社會責任與財務績效之關聯性-以 KLD 社會責任指數為例。〔碩士論文。明新科技大學〕臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/mf3947。
[27.] 方啟瑞(2021)。使用焦點損失函數與判別器訓練之增強型 U-Net 於斷層掃描影像之肝臟與肝腫瘤分割。〔碩士論文。國立高雄大學〕臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/x3h7rr。

指導教授

許秉瑜(Ping-Yu-Hsu)

審核日期

2023-11-15

推文