EconPapers    
Economics at your fingertips  
 

‘Gold’, ‘Ribbon’ or ‘Puzzle’: What motivates researchers to work in Research and Technology Organizations

Arho Suominen, Henni Kauppinen and Kirsi Hyytinen

Technological Forecasting and Social Change, 2021, vol. 170, issue C

Abstract: This paper employs the motivational trichotomy of financial rewards, reputational rewards, and intrinsic satisfaction (gold, ribbon, and puzzle) to analyze the role of motivation in the context of research and technology organizations. This research is based on a case study that used an online questionnaire survey of 421 scientists from a large multi-technology Research and Technology Organization. The paper draws from previous work on scientists’ orientations toward outcomes and exploitation of research results and finds that the typology of motivational schemes differ. In the study’s context, our analysis did not find advancing academic research to be the main motivator, but rather being able to exploit results. However, within the exploitation mode, the results show that all four factors, gold, challenge, engineering, and basic research, motivate researchers’ activities. The study highlights the Research and Technology Organizations’ differences compared to universities. The findings also suggest that the role of grand societal challenges is emerging as a distinct motivator, aside from a basic research-oriented advancement of science.

Keywords: Research and Technology Organizations; Research motivation; Self-determination theory; Knowledge transfer (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521003140
Full text for ScienceDirect subscribers only

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:eee:tefoso:v:170:y:2021:i:c:s0040162521003140

DOI: 10.1016/j.techfore.2021.120882

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:170:y:2021:i:c:s0040162521003140