Exploring the knowledge base of innovation research: Towards an emerging innovation model

Avila-Robinson, A (通讯作者),Tecnol Monterrey, EGADE Business Sch, Mexico City, Mexico.;Islam, N (通讯作者),Univ Exeter Business Sch, Dept Sci Innovat Technol & Entrepreneurship SITE, Exeter, England.
2022-9
This study provides a systematic review of the literature on innovation research (IR) over the past two decades. We used data-driven approaches integrating network and natural language processing techniques on 41 inno-vation core and ancillary journals to characterize the IR landscape. Contrary to previous efforts, we explored knowledge in the whole IR field from general and specific patterns of growth and interaction using cluster-and term-based data and macro-and micro-level perspectives, respectively. Our results helped us uncover the changing features of the IR landscape in recent years: (i) a strong move into social-and sustainability-driven innovation; (ii) the merging of products and services into business model innovation; (iii) the more influential role of stakeholders such as the government and the general public; (iv) the use of global analytical perspectives while considering local contexts; (v) the importance of greater visions pulling innovation; (vi) the greater role of soft issues such as behaviors; and (vi) a shift into sectoral, geographical, and methodological diversification. Building on these aspects, we developed an emerging model for future innovation research and a series of IR propositions. Our findings help generate opportunities to build future innovation capabilities in research, practice, and education.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
卷号:182
ISSN:0040-1625|收录类别:SSCI
语种
英语
来源机构
Tecnologico de Monterrey; Tokyo Institute of Technology
被引频次(WOS)
1
被引频次(其他)
1
180天使用计数
26
2013以来使用计数
26
EISSN
1873-5509
出版年
2022-9
DOI
10.1016/j.techfore.2022.121804
学科领域
循证经济学
关键词
Innovation research Innovation model Knowledge base Networks Bibliometrics
WOS学科分类
Business Regional & Urban Planning