PUEB research projects 2018-2020

Decision quality in innovation process in biotechnology companies

Source of funding: National Science Centre, Poland
Funding Scheme: OPUS 15
Project ID number:  2018/29/B/HS4/00159
Start date: 10.01.2019 
Finish date: 09.01.2021
Amount of funding:  298 900 zł

“Decision quality in innovation process in biotechnology companies” develops a model and a comprehensive approach presenting detailed specification and conditions of the innovation process from the decision-making to increase the innovation process efficiency in biotechnology industry. The lack of comprehensive theoretical background impedes the efficient growth and implementation of permanent innovation process, therefore research in this area is of vital theoretical and practical importance. 


The present project innovatively sets the research in the decision theory. It builds on the current research on innovation processes and addresses the current research gaps such as 

1) shared interpretation schemes among the participants of the innovation process, 

2) rationality of the decisionmaking actors, 

3) decision-making process participation,  

4) transactive memory. 


The research problem is contained in the following question: how does the improvement of decision-making quality affect the efficiency of innovation process in biotechnology industry? The main purpose of the present project is determine how the improvement of innovation-related decisionmaking quality affects the efficiency of innovation process in biotechnology industry. The main purpose is complemented by ten supplementary objectives. Project’s main hypothesis is stated as follows: innovation-related decision-making quality affects the efficiency of innovation process so that higher decision-quality leads to more efficient innovation process. The work plan of the project encompasses seven phases leading to the development of the comprehensive view of innovation process from the decision quality point of view. The first four stages are already completed. They covered systematic literature studies conducted with the use of specialised methods: SALSA, backward snowballing and meta-synthesis. Furthermore they included 24 semi-structured in-depth interviews (in 18 companies). The preliminary study was carried out in Central and Eastern Europe in the fourth quarter of 2016 and the first and second quarters of 2017. The research targeted senior management and research and development specialists. The fourth stage covered the impact of innovation process disclosure on market value of biotechnology companies. In the consecutive stages of the work plan the research will embrace surveys, case studies and advanced mathematical calculations. 


Case studies will cover the biotech companies in particular countries of European Union. Due to the interdisciplinarity of the project the interviews conducted within case studies will be handled with the senior management, biotechnologists and Research & Development department representatives. It will deliver the comprehensive picture of details in innovation process and decision-making. Ultimately 12 companies will be pointed to conduct a case study analysis. Moreover, about 100 surveys will be performed. The surveys will be divided into three substantial parts. The first will cover the data on the efficiency of innovation processes. The second will include the data on decision quality. The third will cover shared interpretation schemes, rationality, decisionmaking process participation and transactive memory. Quantitative and qualitative methods that will be employed in the project allow obtaining the comprehensive and detailed insight into innovation process from the decision-making point of view in biotech companies.


Principal Investigator:

dr Dawid Szutowski
Department of Controlling, Financial Analysis and Valuation, Faculty of Management



Co-Investigators:
dr inż. Aleksandra Szulczewska-Remi 
Department of Controlling, Financial Analysis and Valuation, Faculty of Management


dr Piotr Ratajczak
Department of Controlling, Financial Analysis and Valuation, Faculty of Management
Profil na google scholar