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EN
This study examines the different contextual factors (previous cooperative experiences, the partners’ reputation, attraction capacity, a clear definition of objectives, proximity between partners and institutionalization) that, according to the literature, affect the performance of science-industry R&D partnerships. These factors are the preconditions of the contract that are the reference framework in which future relations between the partners are planned. The purpose of this paper is to discuss these factors and to present a causal model to explain how these contextual factors lead to the success of science-industry R&D cooperation. The analysis uses fs/QCA methodology, which allows identifying a combination of causes that lead to the outcome. Results support the argument that different causal paths (combinations of contextual factors) explain profitable R&D contracts.
EN
Previous research demonstrates the importance of social capital, environmental complexity, goal orientation, and project performance. However, the influence of these factors on project performance is unclear and was examined singly, i.e., each factor was studied separately in connection with project performance. The aim of this paper is to examine which configurations of selected factors, such as goal orientation, social capital, and environmental complexity, affect project performance in project-based organizations. This paper argues that these factors simultaneously affect project performance, in different configurations. This study applies fuzzy set Qualitative Comparative Analysis (fs/QCA), which points to three configurations of conditions that influence project performance in project-based organizations. These findings help complement some of the results of previous studies on project performance.
EN
In this study the impact of selected organizational characteristics on R&D projects performance were analyzed. The data for the empirical analysis come from a survey of 131 R&D projects across 53 high-tech business units. This study employs a configurational approach, using fuzzy set Qualitative Comparative Analysis (fs/QCA), to analyze the combination of structural differentiation, innovation strategy, cooperation with stakeholders, and project team autonomy with the performance of R&D projects. The results suggest that no single organizational characteristic is crucial to ensure the success of R&D projects but three causality paths lead to that outcome. Because of significant interdependencies, the main organizational characteristic contributing to the success of R&D projects in the high-tech company concern innovation strategy in connection with either cooperation with stakeholders or project team autonomy or structural differentiation.
EN
Nowadays, SMEs operate in an increasingly competitive environment, full of threats from competing companies. One of the big challenges facing small and medium enterprises is human resource management. People spend most of their hours at work, and job satisfaction plays a vital role in an efficient work environment. Employee job satisfaction is a very complex construct, and is considered a critical factor in the organization's success. The purpose of this article is to examine how various, selected factors, such as: identification with the strategy, leadership style, job security and awards, simultaneously affect employee job satisfaction in Polish small and medium-sized enterprises. The sample of the study includes employees of Polish small and medium enterprises. Based on data from 274 surveys with Polish small and medium sized enterprises’ employees, fuzzy-set Qualitative Comparative Analysis was used to investigate several combination of conditions affecting job satisfaction. The results presented in the article confirm that a high level of job satisfaction can be achieved through many constellations of conditions. Small and medium-sized enterprises can adopt in practice these specific factors in several constellations to obtain a higher level of employee job satisfaction.
PL
Celem artykułu jest przedstawienie rozmytej jakościowej analizy porównawczej (fuzzy set Qualitative Comparative Analysis - fsQCA) jako koncepcji metodologicznej w ocenie procesów z udziałem wiedzy związanych z rozwojem obszarów wiejskich. Jako studium przypadku wybrano jednostki samorządowe, w których na co dzień realizowane są zadania na rzecz rozwoju lokalnego. W analizie skupiono się na procesie transferu wiedzy. Transfer jest najbardziej złożonym procesem wśród procesów z udziałem wiedzy. Zawiera kilka istotnych elementów, któ- re stanowią mocny fundament efektywności organizacji, a mianowicie: pozyskiwanie wiedzy, udostępnianie wiedzy, rozpowszechnianie wiedzy oraz dzielenie się wiedzą. Od skuteczności tego procesu zależy w dużym stopniu poziom rozwoju danego obszaru m.in.: aktualizacja informacji, szybkość podejmowania decyzji, wykorzystywanie zróżnicowanych źródeł finansowania do realizacji przedsięwzięć czy implementacja innowacyjnych rozwiązań prowadząca do budowania konkurencyjności obszaru.
EN
The aim of this article is to present a fuzzy set qualitative comparative analysis (fuzzy set Qualitative Comparative Analysis - fsQCA) as a methodological concept to evaluate the processes involving knowledge related to the rural development. Selected municipalities, where activities for local development are carried out in everyday work, were a case study. The analysis focuses on the process of knowledge transfer. Transfer is most complex of all processes involving knowledge. It contains several important elements that form a strong foundation for the organization efficiency, namely: knowledge acquisition, knowledge sharing, dissemination of knowledge and knowledge sharing. On the effectiveness of this process depends largely the level of economic development of the area i.a: update information, faster decision-making, use the different external sources to finance various projects, innovative solutions implementation to acquire competitiveness of the area.
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