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1.
Artificial intelligence and business studies : study cycle differences regarding the perceptions of the key future competences
Polona Tominc, Maja Rožman, 2023, original scientific article

Abstract: The purpose of this article is to identify the differences in various aspects of the perception of artificial intelligence by students of economics and business studies at different levels of study and, on this basis, to formulate recommendations both to the higher education institutions themselves, which educate in the field of economic and business sciences, as well as to curriculum designers. First, we utilized descriptive statistics to analyze the responses for each construct among undergraduate and postgraduate students. In the second part, we employed the Kolmogorov-Smirnov and Shapiro-Wilk tests to assess the normality of data distribution. Finally, in the third part, we employed the non-parametric Mann-Whitney U test to identify the differences between undergraduate and postgraduate students. The results show that statistically significant differences can be identified especially in how students of both study levels see and understand the importance of AI. Although we did not identify significant differences between students of both levels in how they see their role in the future labor market, which will be (or already is) characterized by artificial intelligence, we must emphasize that students of both levels evaluate their roles modestly in this respect. Therefore, on this basis, we have made recommendations for more active development and integration of AI in the study process; the article presents important suggestions for improving education to prepare students for the business world of artificial intelligence.
Keywords: artificial intelligence, undergraduate students, postgraduate students, education
Published in DKUM: 03.04.2024; Views: 60; Downloads: 8
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2.
Artificial intelligence and agility-based model for successful project implementation and company competitiveness
Polona Tominc, Dijana Oreški, Maja Rožman, 2023, original scientific article

Abstract: The purpose of the paper is to present a model of factors affecting the successful project implementation by introducing agility and artificial intelligence to increase the company’s competitiveness. In the model, the multidimensional constructs describing the implementation of an agile work environment and artificial intelligence technologies and tools were developed. These multidimensional constructs are agile work environment, agile leadership, agile team skills and capabilities, improving the work of the leader in the project, adopting AI technologies in the project, and using AI solutions in a project. Their impact on successful project implementation and on the company competitiveness was tested. The fundamental reason for conducting this research and developing the model is to enhance the understanding of factors that contribute to the successful implementation of projects and to increase a company’s competitiveness. Our developed model encompasses multidimensional constructs that describe the agile work environment and the utilization of AI technologies. By examining the impact of these constructs on both successful project implementation and company competitiveness, we aimed to establish a comprehensive framework that captures the relationship between agility, AI, and successful project implementation. This model serves as a valuable tool for companies seeking to improve their project implementation processes and gain a competitive edge in the market. The research was based on a sample of 473 managers/owners in medium-sized and large companies. Structural equation modeling was used to test the hypotheses. In today’s turbulent environment, the results will help develop guidelines for a successful combination of agile business practices and artificial intelligence to achieve successful project implementation, increasing a company’s competitiveness.
Keywords: artificial intelligence, agile work environment, company competitiveness, project management
Published in DKUM: 26.03.2024; Views: 70; Downloads: 3
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3.
Business IT alignment impact on corporate sustainability
Uroš Zabukovšek, Polona Tominc, Samo Bobek, 2023, original scientific article

Abstract: Business-IT alignment (BITA) has become crucial for effective organisational management in today's interconnected global economy. This article investigates the relationship between BITA and corporate sustainability, exploring how businesses can leverage BITA for sustainable growth and development. The study employs a case research approach in a multinational manufacturing organisation, utilising a mixed methods research (MMR) design. In the quantitative part of the research, the PLS-SEM technique was used to examine the influence of six BITA factors on employees' self-perceived action competence for sustainability (SPACS). This study confirmed that all six BITA factors strongly influence all three SPACS factors. In the qualitative part of the research, semi-structured interviews were used to measure the BITA maturity level of the organisation and the influence of BITA factors on corporate sustainability. Based on quantitative and qualitative research results, it can be confirmed that BITA strongly influences corporate sustainability. Results also confirm that there is no universal approach to BITA and its influence on corporate sustainability. Organisations must focus on all factors of BITA equally to achieve better levels of BITA and ensure its influence on corporate sustainability.
Keywords: business–IT alignment (BITA), corporate sustainability, SPACS, case research, mixed methods research (MMR), PLS-SEM
Published in DKUM: 14.02.2024; Views: 143; Downloads: 8
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4.
Multi-criteria measurement of ai support to project management
Vesna Čančer, Polona Tominc, Maja Rožman, 2023, original scientific article

Abstract: This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis was employed based on the extensive survey on AI in Slovenian companies and the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process. The synthesis and performance sensitivity analysis results show that in the service sector, concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria, have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper, therefore, contributes to the comparison of AI support to PM in service sector activities. The results can help AI development policymakers determine which activities need to be supported and which should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields.
Keywords: artificial intelligence, factor analysis, multiple criteria, performance sensitivity, project management
Published in DKUM: 12.02.2024; Views: 200; Downloads: 13
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5.
Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment
Maja Rožman, Dijana Oreški, Polona Tominc, 2023, original scientific article

Abstract: This paper aims to develop a multidimensional model of AI-supported employee workload reduction to increase company performance in today's VUCA environment. Multidimensional constructs of the model include several aspects of artificial intelligence related to human resource management: AI-supported organizational culture, AI-supported leadership, AI-supported appropriate training and development of employees, employees' perceived reduction of their workload by AI, employee engagement, and company's performance. The main survey involved 317 medium-sized and large Slovenian companies. Structural equation modeling was used to test the hypotheses. The results show that three multidimensional constructs (AI-supported organizational culture, AI-supported leadership, and AI-supported appropriate training and development of employees) have a statistically significant positive effect on employees' perceived reduction of their workload by AI. In addition, employees' perceived reduced workload by AI has a statistically significant positive effect on employee engagement. The results show that employee engagement has a statistically significant positive effect on company performance. The concept of engagement is based on the fact that the development and growth of the company cannot be achieved by increasing the number of employees or by adding capital; the added value comes primarily from increased productivity, which is a result of the innovative ability of employees and their work engagement, which improve the company's performance. The results will significantly contribute to creating new views in the field of artificial intelligence and adopting important decisions in creating working conditions for employees in today's rapidly changing work environment.
Keywords: artificial intelligence, leadership, employee engagement, company performance
Published in DKUM: 02.02.2024; Views: 164; Downloads: 24
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6.
Enhancing the performance of high-growth small- and medium-sized enterprises through effective project- management processes and stakeholder engagement : a systems perspective
Igor Vrečko, Polona Tominc, Karin Širec, 2023, original scientific article

Abstract: This study examines the impact of project management practices on high-growth Small and Medium-sized Enterprises (HG SMEs) from a systems perspective, utilizing Structural Equation Modelling (SEM) and data from a diverse SME sample. It investigates the intricate relationships among project management system support, project management processes, stakeholder involvement, project management success, project success, and HG SME growth. Our findings highlight the substantial positive influence of project management processes and stakeholder engagement on project management success. These factors subsequently contribute significantly to both project success and the overall growth of HG SMEs. Notably, project management system support does not exhibit a substantial influence on these success factors. Furthermore, our research uncovers important indirect effects. Project management processes indirectly impact both project success and HG SME growth, underscoring their central role. Similarly, stakeholder involvement indirectly influences HG SME growth through its impact on project success, emphasizing its significance. This study contributes to the existing body of knowledge by emphasizing the critical roles of project management processes, stakeholder engagement, and project success as drivers of SME growth. These insights have valuable implications for SME managers, project leaders, and policymakers, highlighting the essential nature of effective project management in shaping the growth trajectory of SMEs.
Keywords: project management, project success, SME growth, stakeholder engagement, projectmanagement processes, high-growth SMEs, systems perspective, SEM
Published in DKUM: 13.12.2023; Views: 294; Downloads: 11
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7.
A conceptual model of developing an agile work environment
Katja Crnogaj, Polona Tominc, Maja Rožman, 2022, original scientific article

Abstract: This study has highlighted the need for an agile work environment to enhance companies’ performance, growth, and sustainability. In today’s rapidly changing business world, the goal of every individual and team in a company should be to deliver value to customers. The paper highlights theoretical and empirical evidence on the importance of an agile work environment and its positive effect on company performance. In addition, the paper provides insights into the important concept of developing an agile work environment and offers a conceptual model with five selected constructs, which can be leveraged to build an agile mindset in companies. Moving away from traditional leadership models, this paper highlights the significant role that agile leadership can play in enhancing effectiveness and performance, even in long-established large companies. The empirical research was based on 468 randomly selected medium and large Slovenian companies. Structural equation modelling (SEM) was used to test the model. The empirical results show that changing and adaptive agile companies are the ones that thrive more easily in an environment that is unpredictable and characterized by rapid change.
Keywords: agility, agile work environment, company performance, conceptual model
Published in DKUM: 21.09.2023; Views: 274; Downloads: 29
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8.
Upravljanje starostne raznolikosti na delovnih mestih
Maja Rožman, Polona Tominc, 2014, original scientific article

Abstract: Staranje prebivalstva v Sloveniji predstavlja enega največjih izzivov za prihodnji razvoj in vpliva tudi na procese v organizacijah. Temeljni namen prispevka je proučitev starostne raznolikosti zaposlenih glede na motivacijske dejavnike, zadovoljstvo pri delu in produktivnost. V raziskavi ugotavljamo, da obstajajo številne razlike v vplivnih motivacijskih dejavnikih med mlajšimi in starejšimi zaposlenimi, razlike v stopnji njihovega zadovoljstva in razlike na drugih področjih, povezanih z dinamičnostjo, raznolikostjo in produktivnostjo zaposlenih na delovnem mestu. Te ugotovitve kažejo na pomembnost upravljanja starostne raznolikosti na delovnem mestu, zato v zaključku podajamo tudi priporočila menedžmentu na tem področju.
Keywords: podjetje, zaposleni, motivacija, zadovoljstvo, starostne skupine, management
Published in DKUM: 06.09.2023; Views: 175; Downloads: 0

9.
Qualitative indicators for measuring the performance development of selected cities
Jasmina Mavrič, Polona Tominc, Vito Bobek, 2014, original scientific article

Abstract: Recognizing that cities are becoming generators of economic development and a source of growth for the national economy, researchers are increasingly identifying the stages of development and positioning of cities upon which the adequate preparation of strategic and development guidelines is dependent. The comparison of the level of their development efficiency calls for indicators measuring the performance of cities that are representative and comparable between countries. In the case of medium-sized cities, we consequently have to question the applicability of the methodology and indicators used mostly in cases of large, global cities by internationally recognized institutions. With the established set of qualitative indicators and assistance from a computer program for multiparameter decision-making processes (DEXi), this paper also seeks to compare the performance development of selected European cities.
Published in DKUM: 06.09.2023; Views: 158; Downloads: 0

10.
Entrepreneurship vs. freelancing : whatʹs the difference?
Ivona Huđek, Polona Tominc, Karin Širec, 2020, review article

Published in DKUM: 31.08.2023; Views: 253; Downloads: 48
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