텍스트마이닝을 활용한 빅데이터 기반의 디지털 트랜스포메이션 연구동향 파악
Identifying Research Trends in Big data-driven Digital Transformation Using Text Mining
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초록
빅데이터 기반의 디지털 트랜스포메이션은 데이터 및 데이터 관련 기술을 통해 기업의 성과 향상, 조직 변화, 사회 공헌 등의 목적 달성을 위해 수행하는 혁신적 프로세스를 의미한다. 성공적인 빅데이터 기반의 디지털 트랜스포메이션을 위해서는 관련 연구 현황, 주요 연구토픽, 주요 연구토픽 간의 관계를 이해하는 것이 필수적이다. 그러나 여러 연구들의 서로 다른 관점 및 이들 간 연계 가능성에 대해 이해하려는 노력은 아직 미진하다. 본 논문은 텍스트마이닝을 활용하여 관련 연구동향을 분석하고, 여러 연구의 다양한 관점을 통합적으로 이해하기 위한 기반 마련을 시도해보았다. Web of Science Core Collection에서 추출한 439편의 논문을 분석하여, 10개의 주요 연구토픽을 도출하였고, 이들 간의 관계를 분석하였다. 본 연구의 결과가 빅데이터 기반의 디지털 트랜스포메이션에 대한 통합적인 이해를 촉진하고, 성공을 위한 방향성 모색에 기여할 것으로 기대한다.
Abstract
A big data-driven digital transformation is defined as a process that aims to innovate companies by triggering significant changes to their capabilities and designs through the use of big data and various technologies. For a successful big data-driven digital transformation, reviewing related literature, which enhances the understanding of research statuses and the identification of key research topics and relationships among key topics, is necessary. However, understanding and describing literature is challenging, considering its volume and variety. Establishing a common ground for central concepts is essential for science. To clarify key research topics on the big data-driven digital transformation, we carry out a comprehensive literature review by performing text mining of 439 articles. Text mining is applied to learn and identify specific topics, and the suggested key references are manually reviewed to develop a state-of-the-art overview. A total of 10 key research topics and relationships among the topics are identified. This study contributes to clarifying a systematized view of dispersed studies on big data-driven digital transformation across multiple disciplines and encourages further academic discussions and industrial transformation.
참고문헌 (41)
- 공공부문 디지털 트랜스포메이션 전략에 관한 연구, "정소윤", KIPA, 1~556 (2020)
- P. C. Verhoef, "Digital transformation : A multidisciplinary reflection and research agenda", Journal of Business Research, 122, pp.889~901 (2021)
- "Spending on digital transformation technologies and services worldwide from 2017 to 2025"[URL]
- 정준모, "무역 디지털 트랜스포메이션을 위한 빅데이터 도입 및 활용에 관한 연구", 무역학회지, 47(3), pp.58~75 (2022), 한국무역학회[DOI]
- 이진수, "데이터 사이언스 기반의 디지털 트랜스포메이션", 방송과 미디어, 22(4), pp.18~25 (2017)
- P. Kostakis, "Big-data management : A driver for digital transformation?", Information, 12(10) (2021)
- C. Papanagnou, "Data-driven digital transformation for emergency situations : The case of the UK retail sector", International Journal of Production Economics (2022)
- X. Zhu, "Digital transformation: A systematic literature review", Computers Industrial Engineering, 162 (2021)
- A. Miklosik, "Impact of big data and machine learning on digital transformation in marketing: A literature review", IEEE Access, 8 (2020)
- 최영현, "패션 영역에서 디지털 전환 관련 연구동향 및 지식구조", 디지털융복합연구, 19(3), pp.319~329 (2021), 한국디지털정책학회[DOI]
- P. Verhoef, "Creating value with big data analytics: Making smarter marketing decisions" (2016), Routledge
- R. V. Kübler, "Advanced methods for modeling markets", pp.631~670 (2017), Springer
- D. M. Blei, "Latent dirichlet allocation", Journal of Machine Learning Research, 3, pp.993~1022 (2003)
- 이정우, "토픽 모델링을 활용한 메타버스 분야 국가 R&D 동향 분석", 스마트미디어저널, 11(8), pp.9~20 (2022), (사)한국스마트미디어학회[DOI]
- 강경화, "토픽모델링을 통한 북한의 경제정책 동향 분석", 스마트미디어저널, 9(4), pp.44~51 (2020), (사)한국스마트미디어학회[DOI]
- C. Lim, "Data-driven understanding of smart service systems through text mining", Service Science, 10(2), pp.154~180 (2018)
- 양종훈, "초록데이터를 활용한 국내외 통계학 분야 연구동향", 응용통계연구, 34(2), pp.267~278 (2021), 한국통계학회
- 안근재, "영어초록 키워드 분석을 통한 연구동향 분석: 생물교육학회지를 중심으로", 언어학연구, 21(1), pp.57~78 (2016), 한국언어연구학회
- F. Pedregosa, "Scikit-learn : Machine learning in Python", Journal of Machine Learning Research, 12, pp.2825~2830 (2011)
- U. Von Luxburg, "A tutorial on spectral clustering", Statistics and computing, 17(4), pp.395~416 (2007)
- L. Li, "Digital transformation and sustainable performance : The moderating role of market turbulence", Industrial Marketing Management, 104, pp.28~37 (2022)
- L. Guo, "The effects of digital transformation on firm performance : Evidence from China’s manufacturing sector", Sustainability, 13(22) (2021)
- F. Zhang, "Digital transformation of enterprise finance under big data and cloud computing", Wireless Communications and Mobile Computing, 2022 (2022)
- C. A. Gizelis, "Decision support using AI : the data exploitation at telecoms in practice", Journal of Decision Systems, pp.1~19 (2022)
- S. Akter, "Transforming business using digital innovations : The application of AI, blockchain, cloud and data analytics", Annals of Operations Research, pp.1~33 (2020)
- P. Neirotti, "Algorithms for operational decision-making : An absorptive capacity perspective on the process of converting data into relevant knowledge", Technological Forecasting and Social Change, 173 (2021)
- C. A. Escobar, "Quality 4.0: a review of big data challenges in manufacturing", Journal of Intelligent Manufacturing, 32(8), pp.2319~2334 (2021)
- R. Bonnard, "Big data", analytics platform for Industry 4.0 implementation in advanced manufacturing context, 2021, pp.117(5), 1959~1973
- L. Shen, "Digital technology adoption, digital dynamic capability, and digital transformation performance of textile industry : Moderating role of digital innovation orientation", Managerial and Decision Economics, 43(6), pp.2038~2054 (2022)
- M. Matarazzo, "Digital transformation and customer value creation in Made in Italy SMEs : A dynamic capabilities perspective", Journal of Business Research, 123, pp.642~656 (2021)
- W. Liu, "Supplier participation in digital transformation of a two-echelon supply chain : Monetary and symbolic incentives", Transportation Research Part E: Logistics and Transportation Review, 161 (2022)
- R. Ishfaq, "Digital supply chains in omnichannel retail : A conceptual framework", Journal of Business Logistics, 43(2), pp.169~188 (2022)
- W. C. Lu, "Innovation resistance and resource allocation strategy of medical information digitalization", Sustainability, 13(14) (2021)
- L. Fu, "Data analysis model design of health service monitoring system for China’s elderly population: The proposal of the FW model based on the collaborative governance theory of healthy aging", Healthcare, 9(1) (2020)
- C. Fernández-Rovira, "The digital transformation of business. Towards the datafication of the relationship with customers", Technological Forecasting and Social Change, 162 (2021)
- N. A. K. Dam, "Towards a conceptual framework for customer intelligence in the era of big data", International Journal of Intelligent Information Technologies(IJIIT), 17(4), pp.1~17 (2021)
- M. M. Visan, "Smart city : Concepts and two relevant components", International Journal of Computers Communications Control, 15(2) (2020)
- M. Zekić-Sušac, "Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities", International Journal of Information Management, 58 (2021)
- R. Manita, "The digital transformation of external audit and its impact on corporate governance", Technological Forecasting and Social Change, 150 (2020)
- F. De Santis, "Big data and data analytics in auditing : In search of legitimacy", Meditari Accountancy Research, 29(5) (2021)
- A. G. Frank, "Industry 4. 0 technologies : Implementation patterns in manufacturing companies", International Journal of Production Economics, 210, pp.15~26 (2019)