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Management
|
2016
|
vol. 20
|
issue 1
184-196
EN
In the knowledge economy the mission of a university, besides high quality teaching, is scientific research and the search for innovative solutions. This paper refers to an interview with the Head of the Department of Science and International Cooperation at the University of Gdansk and annual reports of the University of Gdansk’s vice-chancellor for 2006-2014. Initiating cooperation with foreign research centres, the mobility of researchers and the ability to implement international research shows that the university is striving to become an entrepreneurial university.
e-mentor
|
2023
|
vol. 99
|
issue 2
69-82
EN
This article explores the impact of the COVID-19 epidemic on the business models of automotive-sector organizations, specifically authorized passenger car dealerships in Poland. The research aims to determine how business models were transformed during the pandemic. The research methods used include a literature review and opinion polls. The article begins by discussing the significance and evolution of business models and changes in the automotive sector. The results focus on how the pandemic brought about change in business models in the automotive sector, and the conclusion includes information as to limitations and further areas of study.
PL
Cel: identyfikacja wybranych technologii ICT wspierających wyższe poziomy dojrzałości procesowej organizacji. Metodologia: badanie zostało zrealizowane z wykorzystaniem metod, takich jak analiza bibliometryczna, przegląd literatury, metody statyczne oraz sondażowe badanie opinii na próbie 48 dużych organizacji funkcjonujących w Polsce. Wyniki: zrealizowane postępowanie dostarczyło dowodów na to, że w badanej grupie jednostek istnieje statystycznie istotna zależność między implementacją technologii artificial intelligence (AI) oraz cloud computing (CC) i robotic process automation (RPA) a odpowiednio trzecim i czwartym poziomem dojrzałości procesowej według przyjętego modelu MMPM. Ograniczenia/implikacje badawcze: uzyskane wyniki badania obciążone są przede wszystkim wybraną nieprobabilistyczną techniką doboru próby, co powoduje ograniczenie uzyskanych wniosków do badanej grupy organizacji. Oryginalność/wartość: oryginalność tego artykułu wypełnia lukę poznawczą, polegającą na niedostatku publikacji przedstawiających relacje między stopniem implementacji technologii ICT a poziomem dojrzałości procesowej. Przedstawiony artykuł wypełnia tę lukę, wskazując statystyczne zależności między wdrożeniem artificial intelligence (AI), robotic process automation (RPA) i cloud computing (CC) a poziomem dojrzałości procesowe organizacji.
EN
Purpose: The main objective of the article is to identify selected ICT technologies supporting higher levels of organizational process maturity. Design/methodology/approach: The research was conducted with the use of the following methods: bibliometric analysis, literature review and statistic methods. The empirical procedure was carried out on a non-random sample of 48 large organizations operating in Poland, using the CAWI technique. Findings: The empirical research carried out proved the existence, in the group of the organizations examined, of a statistically significant relationship between the implementation of artificial intelligence (AI), cloud computing (CC) and robotic process automation (RPA) technologies and, respectively, the third and fourth levels of process maturity, in accordance with the adopted multicriteria model of process maturity assessment (MMPM). Research limitations/implications: The burden of the presented empirical investigation results primarily arises from the applied technique of non-probabilistic research sample selection. This makes the obtained results limited to the examined sample of organizations. Originality/value: The originality of this article fills the cognitive gap consisting in the shortage of publications that present the relationship between the degree of implementation of ICT technology and the level of process maturity. The presented article addresses this gap by indicating a statistical relationship between the implementation of artificial intelligence (AI), robotic process automation (RPA), cloud computing (CC) technology and the level of process maturity of the organization.
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