Mirjana-Pejic Bach

Prof. Mirjana-Pejic Bach

University of Zagreb - Faculty of Economics and Business
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 February 2019 in Sustainability
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Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
ZKZivko Krstic
Zivko Krstic
SSSanja Seljan
Sanja Seljan
Lejla TuruljaLejla Turulja
Lejla Turulja
Big data technologies have a strong impact on different industries, starting from the last decade, which continues nowadays, with the tendency to become omnipresent. The financial sector, as most of the other sectors, concentrated their operating activities mostly on structured data investigation. However, with the support of big data technologies, information stored in diverse sources of semi-structured and unstructured data could be harvested. Recent research and practice indicate that such information can be interesting for the decision-making process. Questions about how and to what extent research on data mining in the financial sector has developed and which tools are used for these purposes remains largely unexplored. This study aims to answer three research questions: (i) What is the intellectual core of the field? (ii) Which techniques are used in the financial sector for textual mining, especially in the era of the Internet, big data, and social media? (iii) Which data sources are the most often used for text mining in the financial sector, and for which purposes? In order to answer these questions, a qualitative analysis of literature is carried out using a systematic literature review, citation and co-citation analysis.

9 December 2019 in Systems Research and Behavioral Science
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AJAndrej Jerman
Andrej Jerman
Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
AAAna Aleksić
Ana Aleksić

1 July 2022 in International Journal of Engineering Business Management
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TNThang Ngoc Nguyen
Thang Ngoc Nguyen
MDMai Viet Dung
Mai Viet Dung
CRChris Rowley
Chris Rowley
Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
Understanding Generation Z job seekers’ expectations and job pursuit intentions can help organizations successfully attract them. However, there is limited research on this, especially for the transition and emerging economies. With these issues in mind, this study focused on two main objectives: (1) to examine Generation Z job seekers’ expectations and their job pursuit intention (JPI) in a transition and emerging economy, with samples from Vietnam, and (2) to advance the understanding of instrumental and symbolic attributes in recruitment literature. We apply the interpretive research method to explore the hidden reasons behind generation Z job seekers’ expectations and intentions of their job pursuit. Multiple combining questionnaires and group discussions were conducted with Vietnamese final year students soon to enter the workforce. The results showed that the Vietnamese Generation Z pays more attention to the job/organization in terms of intangible attributes (e.g. office atmosphere or workplace ethics) than physical features. Our study also found that Generation Z considered instrumental organizational attributes and symbolic meaning of corporate social responsibility (CSR). Although some studies have examined the Generation Z expectation in the workplace, no studies investigated the JPI of Gen Z job seekers. In addition, most recent studies investigated the Generation Z expectation in the workplace without using any solid, theoretical foundation underpinning human resource management. Therefore, using an instrumental-symbolic framework in recruitment, our study adds to the literature by examining how Generation Z job seekers react to instrumental attributes and symbolic attributes.

1 January 2018 in Economic Research-Ekonomska Istraživanja
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Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
Ana Aleksić FredotovićAna Aleksić Fredotović
Ana Aleksić Fredotović
MMMerkac-Skok Marjana
Merkac-Skok Marjana
The aim of this paper is to present research on determinants of entrepreneurial intentions through the framework of the theory of planned behaviour and an individual innovative cognitive style. By employing the theory of planned behaviour, the authors evaluate how personal attitudes, subjective norms and perceived behavioural control can affect one’s intentions to become an entrepreneur. Additionally, the innovative cognitive style is tested as a potentially significant determinant of entrepreneurial intentions. A questionnaire survey was done using the sample of 330 bachelor and master students in economics and business from Slovenia. Research propositions were tested using linear hierarchical regression modelling. The results suggest that personal attitudes towards entrepreneurship, subjective norms and perceived behavioural control are positively related to one’s entrepreneurial intentions. The innovative cognitive style has also been found to be significant in creating one’s intention to become an entrepreneur. The paper extends the current knowledge on entrepreneurial intentions by analysing the exclusive and mutual influence of different factors recognised by the theory of planned behaviour and the innovative cognitive style on entrepreneurial intentions, as well as providing useful insights into antecedents of entrepreneurial intentions in the Slovenian context.

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ASAna-Marija Stjepić
Ana-Marija Stjepić
Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
VVVesna Bosilj Vukšić
Vesna Bosilj Vukšić
The business success of small- and medium-sized enterprises (SMEs) increasingly relies on the adoption of various technological innovations. For today’s unpredictable business operations, business intelligence systems (BISs) represent one of the most prominent tools with a significant impact on business performance. However, different internal and external risks may influence BIS adoption. The goal of this paper is to investigate the risks that impact BIS adoption in SMEs, using the Technology, Organization, and Environment (TOE) framework. For that purpose, we develop the logistic regression model, using data collected by a questionnaire survey using a sample of 100 Croatian SMEs. The results indicate the applicability of the TOE theoretical framework for examining BIS adoption in SMEs. Given the results obtained, the sampled SMEs should take into account the internal risks related to the organizational dimension and external risks related to the environmental dimension. Our research did not reveal the significant impact of technological risks that encompass characteristics of considered technological innovation related to the technology dimension.

19 October 2012 in Baltic Journal of Management
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Tomislav HernausTomislav Hernaus
Tomislav Hernaus
Mirjana-Pejic BachMirjana-Pejic Bach
Mirjana-Pejic Bach
VVVesna Bosilj Vukšić
Vesna Bosilj Vukšić
Purpose: The purpose of this paper is to examine the way strategic approach to business process management (BPM) impacts organizational performance, both its financial and non‐financial aspects, using empirical data from Croatian firms. The impact of strategic approach to BPM on process performance measurement (PPM) is examined as well.Design/methodology/approach: A questionnaire survey was conducted on a sample of 194 manufacturing and service firms in Croatia and propositions were tested using a structural equation model with SAS software.Findings: The results suggest that PPM practice is positively related to strategic approach to BPM. The impact of PPM on non‐financial performance has been found, as well as the impact of non‐financial performance on financial performance, thus indicating an indirect influence of PPM on financial performance.Originality/value: The paper extends the previous research that exclusively investigated impact of BPM to organizational performance. The authors extended results of previous research and found that strategic approach to BPM is an important push factor for implementation of PPM, and that PPM is an important link between BPM and improved organizational performance.