Search Results
Abstract
Applications of fuzzy set theory to various problems of data processing influenced greatly the analysis of expert opinion results. The authors developed models based on the fuzzy set concept for expert assessments using quantitative and qualitative scales typical in R & D management. The approach is illustrated by the solution of the problem of ranking of the factors influencing practical applications of research results.
Previous research describes social structure in which employees are embedded as one of the important determinants of intra-organizational career expectations. There are two contradictory arguments in the literature, however. First, social closure of informal relations is supposed to strengthen the intentions of staying. Second, the efficiency and effectivity of the individual social network is assumed to enhance in-house career expectations. This empirical study analyzed data from 44 R&D teams in the Netherlands. Multilevel analysis was used to separate individual and team influences. Results show that the prospects to stay in the R&D team are determined positively by social closure, whereas the expectation to stay in the organization is determined positively by the efficiency and effectivity of individual social networks. The conclusions highlight that different forms of social capital might be important for different types of career perspectives.
Abstract
Context analysis is a new method for appraising a body of publications. The process consists of creating a database of attributes assigned to each paper by the reviewer and then looking for interesting relationships in the data. Assigning the attributes requires an understanding of the subject matter of the papers. We present findings about one particular research field, Management of R&D at the Section Level. Our findings support the view that this body of academic publications does not meet the needs of practitioner R&D managers. The paper discusses practical aspects of how to apply the method in other fields.
-4972(02)00157-8 . Lin , BW , Chen , JS 2005 Corporate technology portfolios and R&D performance measures: A study of technology intensive firms . R&D Management 35 2 157 – 170 10.1111/j.1467-9310.2005.00380.x
research projects upon their differentiated classifications in a preceding perspective of research collaboration and R&D management. Fig. 1 Research framework of this study The
Abstract
This paper is an investigation of the knowledge sources of Korean innovation studies using citation analysis, based on a Korean database during 1993–2004. About two thirds of knowledge has come from foreign sources and 94% of them are from English materials. Research Policy is the most frequently cited journal followed by Harvard Business Review, R&D Management and American Economic Review. An analysis of who cites the most highly cited journal is also included. Neo-Schumpeterians in Korea cite more papers from Research Policy than general researchers, and there is no difference between groups in the year of citation.
Abstract
This paper presents a methodology of analysis of scientometric data reflecting dynamics of technology-oriented R & D. The data base contains a range of articles, patents and standards in the field of welding technologies world-wide and covers the period from 1961 to 1989. The methodology allows to identify the current phase of a technology life cycle in a given country or company and to compare it to that of the leading countries. These data allow to make more motivated decisions in science policy and R & D management.
Ball, A. (2004): Book Review — Open Innovation: The New Imperative for Creating and Profiting from Technology. R&D Management , 34(3): 335–339. Ball A. Book Review — Open Innovation
Flanders: Policy background and implications , R & D Management , 29 ( 2 ): 133 – 141 . Moed , H F. M. , De Bruin , R E. , Nederhof , A J. , van Raan , A F. J. , Tijssen , R. J. W. ( 1992
Innovation Performance. R & D Management 36(5): 499–515. Ahmed P. K. Relationship between Innovation Stimulus, Innovation Capacity, and Innovation Performance
