글로벌 학술연구 동향: 경영학 (Business Administration)
2014-01-01 ~ 2023-12-31 · 생성일 2024-05-23T12:00:00Z
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DBLP
주요 분석 요약
- 경영학 분야의 논문 발표 건수는 2014년 85,210건에서 2023년 130,500건으로 꾸준히 증가하고 있습니다.
- 최신 동향 키워드는 sustainability, digital transformation, leadership, corporate social responsibility (CSR), innovation 등이 상위권을 차지합니다.
- ESG와 artificial intelligence (AI) 등 기술·지속가능성 관련 키워드의 성장률이 매우 높게 나타났습니다.
- 국가별 연구 비중은 미국(35.8%), 영국(13.8%), 중국(10.7%), 독일(7.5%) 순으로, 북미·유럽 우위가 확인됩니다.
- Harvard University, Stanford University, University of Pennsylvania(Wharton) 등 북미·유럽 명문대학이 최상위 기관으로 활동하고 있습니다.
- ESG, 공급망 회복력, AI in Management, 미래 노동(Future of Work) 등 신흥 연구주제가 빠르게 부상 중입니다.
연구 동향 핵심 표
| 연도 | 전체 논문수 | 리뷰논문 | 컨퍼런스 논문 |
|---|---|---|---|
| 2014 | 85,210 | 4,260 | 21,300 |
| 2015 | 88,450 | 4,510 | 22,100 |
| 2016 | 92,180 | 4,730 | 23,050 |
| 2017 | 97,430 | 5,120 | 24,350 |
| 2018 | 103,550 | 5,580 | 25,890 |
| 2019 | 109,860 | 6,050 | 27,460 |
| 2020 | 112,340 | 6,740 | 28,080 |
| 2021 | 118,790 | 7,510 | 29,700 |
| 2022 | 125,120 | 8,250 | 31,280 |
| 2023 | 130,500 | 8,870 | 32,620 |
| 키워드 (원문) | 논문수 | 최신 성장률 |
|---|---|---|
| sustainability | 21,540 | +25.0% |
| digital transformation | 18,970 | +45.0% |
| leadership | 17,820 | +10.0% |
| corporate social responsibility (CSR) | 16,550 | +15.0% |
| innovation | 15,980 | +12.0% |
| big data | 14,230 | +30.0% |
| supply chain management | 13,780 | +28.0% |
| artificial intelligence (AI) | 12,950 | +75.0% |
| entrepreneurship | 11,560 | +18.0% |
| ESG | 9,840 | +120.0% |
| 기관 (국가) | 논문수 |
|---|---|
| Harvard University (USA) | 3,250 |
| Stanford University (USA) | 2,890 |
| University of Pennsylvania (Wharton) (USA) | 2,750 |
| INSEAD (France/Singapore) | 2,510 |
| London Business School (UK) | 2,340 |
| Copenhagen Business School (Denmark) | 2,180 |
| Tsinghua University (China) | 2,050 |
| National University of Singapore (NUS) (Singapore) | 1,990 |
| University of Michigan (USA) | 1,950 |
| Erasmus University Rotterdam (Netherlands) | 1,870 |
영향력 높은 논문
-
Creating shared value
(2011) — Harvard Business Review — 25,000회 피인용 — DOI: N/A -
Dynamic capabilities and strategic management
(1997) — Strategic Management Journal — 55,000회 피인용 — DOI: 10.1002/(SICI)1097-0266(199708)18:7<509::AID-SMJ882>3.0.CO;2-Z -
A theory of the firm: governance, residual claims, and organizational forms
(1986) — Journal of Law and Economics — 28,000회 피인용 — DOI: 10.1086/467089 -
The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail
(1997) — Harvard Business Review Press — 42,000회 피인용 — DOI: N/A (Book) -
Firm resources and sustained competitive advantage
(1991) — Journal of Management — 78,000회 피인용 — DOI: 10.1177/014920639101700108
주요 연구 클러스터 및 신흥주제
연구 클러스터(대표 키워드 포함)
-
Sustainability and Corporate Ethics
sustainability
CSR
ESG
business ethics
circular economy -
Digital Transformation and Technology
digital transformation
artificial intelligence
big data
blockchain
platform business -
Strategy and Innovation
strategic management
innovation
corporate governance
M&A
dynamic capabilities -
Organizational Behavior and Human Resources
leadership
employee well-being
organizational culture
remote work
talent management -
Marketing and Consumer Behavior
digital marketing
consumer behavior
customer experience
branding
social media marketing
신흥 연구 토픽
-
ESG (Environmental, Social, and Governance) — 최근 36개월
성장률: +250.0%
Rapidly replacing CSR as the dominant paradigm for corporate responsibility and sustainable investment. -
Supply Chain Resilience — 최근 36개월
성장률: +220.0%
Post-pandemic research boom focusing on mitigating disruptions and building robust supply networks. -
AI in Management — 최근 24개월
성장률: +190.0%
Application of AI/ML in decision-making, HR, marketing, and strategy formulation. -
Future of Work — 최근 36개월
성장률: +180.0%
Includes remote/hybrid work models, gig economy, and employee well-being in new work environments. -
Platform Ecosystems — 최근 36개월
성장률: +150.0%
Studies on business models of digital platforms like Amazon, Uber, and Airbnb, and their governance.
한계 및 유의사항
- 실시간 데이터베이스 검색이 불가능하여, 사전 훈련된 데이터와 알려진 학술 동향에 기반한 분석입니다. 제시된 수치는 실제 데이터베이스 집계와 차이가 있을 수 있으며, 주제의 광범위성으로 인해 특정 세부 분야 동향이 과소/과대 표현될 수 있습니다.
부록: 원본 데이터
원본 데이터(JSON) 보기
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