Structural equation model for predicting technology commercialization success index (TCSI)

So Young Sohn, Tae Hee Moon

Research output: Contribution to journalArticlepeer-review

88 Citations (Scopus)


Expecting high return, many firms try to invest on R&D of new technology. However, critical loss of assets would occur, when a firm fails to commercialize the developed technology. It would be of interest to provide the ideal environment for commercialization from the R&D stage. In this study, we use a structural equation model (SEM) to forecast the technology commercialization success index (TCSI) in relation to technology developer, technology receiver, technology transfer center, and environmental factors. The proposed SEM is fitted based on partial least square (PLS) estimation procedure. Individual TCSI is then found following the approach used for American customer satisfaction index (ACSI) for various combinations of characteristics of the type of technology, technology receiver, and technology developer. We expect that the proposed approach for TCSI can be used as guidance for an ideal match of technology with technology developer and technology receiver.

Original languageEnglish
Pages (from-to)885-899
Number of pages15
JournalTechnological Forecasting and Social Change
Issue number9
Publication statusPublished - 2003 Nov

Bibliographical note

Funding Information:
This work was supported by the Korean Ministry of Information and Communication Research Grant 2002.

All Science Journal Classification (ASJC) codes

  • Business and International Management
  • Applied Psychology
  • Management of Technology and Innovation


Dive into the research topics of 'Structural equation model for predicting technology commercialization success index (TCSI)'. Together they form a unique fingerprint.

Cite this