Capital Stock and Performance of R&D Organizations: A Dynamic DEA-ANP Hybrid Approach

Yueh-Cheng Wu (), Qian Long Kweh (), Wen-Min Lu (), Shiu-Wan Hung () and Chia-Fa Chang ()
Additional contact information
Yueh-Cheng Wu: National Taipei University of Technology
Qian Long Kweh: College of Business Management and Accounting, Universiti Tenaga Nasional
Wen-Min Lu: National Defense University
Shiu-Wan Hung: National Central University
Chia-Fa Chang: National Defense University

Chapter Chapter 7 in Handbook of Operations Analytics Using Data Envelopment Analysis, 2016, pp 167-186 from Springer

Abstract: Abstract Assessing resource allocation in R&D organizations is an important issue that requires a comprehensive measure to characterize it. To provide a greater picture, we first construct a dynamic three-stage network DEA model, which evaluates the R&D efficiency, technology-diffusion efficiency, and value-creation efficiency of Taiwanese R&D organizations over the period 2005–2009. Before integrating window analysis and network data envelopment analysis (DEA) to estimate dynamic efficiencies, we apply Analytic Network Process (ANP) to determine the relative importance of each stage. Subsequently, we employ panel data regression to examine whether the capital stock of patents, quality of human resources, and capability of service support affect the dynamic efficiencies of the R&D organizations. Our findings show that the mean R&D efficiency score is greater than that of the technology-diffusion efficiency, with the value-creation efficiency score being the lowest, suggesting that R&D organizations have to firstly work on improving the technology-diffusion inefficiency, and finally improving the value-creation inefficiency. Our panel data regression analysis indicates that the capital stock of patents do affect the efficiencies of the R&D organizations, even including the quality of human resources and capability of service support. That is, managers should focus on technological development and innovation to improve their corporate performance.

Keywords: Network data envelopment analysis; Analytic Network Process; Window analysis; R&D organizations; Patents (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4899-7705-2_7

Ordering information: This item can be ordered from
http://www.springer.com/9781489977052

DOI: 10.1007/978-1-4899-7705-2_7

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().