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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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국회도서관 홈으로 정보검색 소장정보 검색
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결과 내 검색 동의어 포함

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Title Page

Abstract

Contents

I. Introduction 7

II. Leterature Review 9

1. Sustainable Development 9

1.1. MDGs to SDGs 9

1.2. Sustainable Management and Reporting 11

1.3. Reporting on the SDGs 12

2. Text mining via NLP 13

2.1. Text Preprocessing 14

2.2. Count-based Word Representation 15

2.3. Bag of Words 15

2.4. TF-IDF 16

III. Methodology 18

1. Overview 18

2. Data Collection 18

3. Text Processing 20

4. Document Similarity 21

4.1. Text Vectorization using TF-IDF 21

4.2. Calculating Similarity Score 21

4.3. Normalization 22

IV. Results 24

1. Similarity Score and Increase Rate 24

2. SDGs Ranking 30

V. Conclusions 36

Reference 39

Appendix 42

Table 1. Summary of Differences between MDGs and SDGs 11

Table 2. Summary of Sustainability Leader Rankings from 2011 to 2019 19

Table 3. Similarity scores of the report sentences 23

Table 4. Increase Rate by Goals & t-test Results 25

Table 5. Goal Ranking, Before and After 2015 31

Table 6. Five High-scoring Goals by Company in Before and After 2015 33

Table 7. Patagonia B Impact Score in 2019 34

Figure 1. Top Companies in Sustainable Development 20

Figure 2. Before and After Comparison by Goals 24

Figure 3. Patagonia, Before and After 2015 26

Figure 4. Natura, Before and After 2015 27

Figure 5. Unilever, Before and After 2015 27

Figure 6. Marks & Spencer, Before and After 2015 28

Figure 7. Coca Cola, Before and After 2015 29

Figure 8. NIKE, Before and After 2015 29

Figure 9. Novo Nordisk, Before and After 2015 29

Figure 10. Goal Ranking, Before and After 2015 32

초록보기

The year 2015 has been a significant year in which international agreements, including sustainable development goals(SDGs) have been concluded, laying the foundation of sustainability.

With the expiration of Millennium Development Goals(MDGs), more comprehensive common goals of the United Nation and the international community has been developed called Sustainable Development Goals(SDGs). Unlike the MDGs, the international community demands companies to play a leading role in solving challenges together.

This paper applies text mining approach to identify global sustainable management trends before and after the announcement of the SDGs in 2015. Document similarity technique with Natural Language Processing(NLP) algorithm is used to analyse three hundred five sustainable management reports published by nineteen global leader companies. The analysis examines the impact of SDGs on global sustainable management movement.

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