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Product and process innovation in manufacturing firms: a 30-year bibliometric analysis
- Source :
- Scientometrics. 113:673-704
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- Built upon a thirty-year dataset collected from the Web of Science database, the present research aims to offer a comprehensive overview of papers, authors, streams of research, and the most influential journals that discuss product and process innovation in the manufacturing environment. The dataset is composed of 418 papers from more than 150 journals from the period between 1985 and 2015. Homogeneity analysis by means of alternating least squares (HOMALS) and Social Network Analysis (SNA) are used to accomplish the objectives listed above through the keywords given by authors. Initially, the paper highlights and discusses the similarity between the topics debated by the main journals in this field. Subsequently, a wide-range map of topics is presented highlighting five main areas of interests; namely, performance, patent, small firm, product development, and organization. A SNA is also performed in order to validate the results that emerged from HOMALS. Finally, several insights about future research avenues in the manufacturing field are provided.
- Subjects :
- Knowledge management
Bibliometric analysis
Computer science
Field
Review
Library and Information Sciences
050905 science studies
Bibliometric
Proce
Future
HOMALS
Innovation
Keywords
Literature
Manufacturing
Process
Product
Scientometrics
SNA
Social network analysis
World Wide Web
product
process
innovation
manufacturing
field
bibliometrics
scientometrics
keywords
literature
review
future
social network analysis
0502 economics and business
Scientometric
Keyword
Small firm
business.industry
05 social sciences
N290 Management studies not elsewhere classified
General Social Sciences
Computer Science Applications
Alternating least squares
New product development
Manufacturing firms
0509 other social sciences
business
Process innovation
050203 business & management
Subjects
Details
- ISSN :
- 15882861 and 01389130
- Volume :
- 113
- Database :
- OpenAIRE
- Journal :
- Scientometrics
- Accession number :
- edsair.doi.dedup.....932dbcf1ec809b0d82fc5de6638d67e1