1. Big data usage in European Countries : cluster analysis approachMirjana Pejić Bach, Tine Bertoncel, Maja Meško, Daila Suša-Vugec, Lucija Ivančić, 2020, original scientific article Abstract: The goal of this research was to investigate the level of digital divide among selected European countries according to the big data usage among their enterprises. For that purpose, we apply the K-means clustering methodology on the Eurostat data about the big data usage in European enterprises. The results indicate that there is a significant difference between selected European countries according to the overall usage of big data in their enterprises. Moreover, the enterprises that use internal experts also used diverse big data sources. Since the usage of diverse big data sources allows enterprises to gather more relevant information about their customers and competitors, this indicates that enterprises with stronger internal big data expertise also have a better chance of building strong competitiveness based on big data utilization. Finally, the substantial differences among the industries were found according to the level of big data usage.
Keywords: big data, cluster analysis, digital divide, k-means, enterprise, industry, Europe, quality
Published in DKUM: 14.01.2025; Views: 0; Downloads: 7
 Full text (3,39 MB)
This document has many files! More... |
2. Individual's resistance regarding BPM initiative : case study of the insurance companyMirjana Pejić Bach, Vesna Bosilj-Vukšić, Daila Suša-Vugec, 2017, original scientific article Abstract: Though the individual’s resistance is very often considered a significant barrier to BPM success, the literature on that topic is quite scarce. With the aim to shed light on this topic, we have conducted research of a Croatian insurance company. We examined the impact of individual’s resistance regarding BPM initiative using the theory of reasoned action. Structural equation model was developed using the data collected by the survey among company employees. The results indicate that subjective norms are positively related to the individual’s resistance regarding BPM initiative, while positive initial belief regarding BPM initiative tends to decrease the probability of resistance to change.
Keywords: business process management, theory of reasoned action, individual’s resistance, insurance company, change management, Croatia
Published in DKUM: 03.05.2018; Views: 1166; Downloads: 209
Full text (837,86 KB)
This document has many files! More... |
3. Determinants of entrepreneurial intentions in ICT industry : gender and country of origin perspectiveMirjana Pejić Bach, Marjana Merkač Skok, Dalia Suša, 2016, original scientific article Abstract: Although many researchers agree that environmental and personal characteristics are important for becoming an entrepreneur, it is still not clear if their influence is equally significant. Numerous authors have pointed out unresolved matters regarding the relationship among innovativeness, gender, and entrepreneurial intensions. The aim of this paper is to explore the impact of gender and country of origin in relation to entrepreneurial intentions and innovative cognitive style. Research was conducted using a sample of students majoring in information and communication technologies from Croatia and Slovenia. The results revealed the influence of gender, country, attitudes toward entrepreneurship, and innovative cognitive style on entrepreneurial intentions.
Keywords: entrepreneurship, gender, innovation, cross-country, entrepreneurial intentions, ICT, Croatia, Slovenia
Published in DKUM: 13.11.2017; Views: 1097; Downloads: 208
Full text (390,74 KB)
This document has many files! More... |
