1. Agility and artificial intelligence adoption : small vs. large enterprisesMaja Rožman, Dijana Oreški, Katja Crnogaj, Polona Tominc, 2023, original scientific article Abstract: This article presents the findings of a survey conducted in Slovenia, encompassing
a random sample of 275 enterprises, to analyze the factors influencing
the transition to an agile approach, the AI-supported organizational
culture, AI-enabled workload reduction, and AI-enabled performance enhancement
in small and large enterprises. The study investigates whether
there are statistically significant differences between small and large
enterprises in Slovenia regarding these aspects. These findings provide
valuable insights into the distinct perspectives and priorities of small and
large enterprises in Slovenia regarding agility and the adoption of AI technologies.
The results highlight areas where small businesses may need
additional support or targeted strategies to fully leverage the benefits of
agility and AI. Policymakers and industry leaders can utilize these findings
to promote tailored approaches that enhance agility and facilitate effective
AI integration in both small and large enterprises, ultimately contributing
to the growth and competitiveness of the Slovenian business landscape.
Keywords: firm performance, IT management, agility, artificial intelligence, Slovenia
Published in DKUM: 28.05.2025; Views: 0; Downloads: 3
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2. Podjetništvo ob preboju digitalizacije in umetne inteligence : GEM Slovenija 2024Karin Širec, Katja Crnogaj, Barbara Bradač Hojnik, Polona Tominc, Matej Rus, 2025 Abstract: Raziskava GEM ponuja poglobljeno analizo različnih družbenih, kulturnih, političnih in ekonomskih dejavnikov, ki vplivajo na podjetniško okolje in podjetniško aktivnost, ter predstavlja celovit okvir za razumevanje nacionalnih podjetniških razmer. Ti dejavniki imajo ključno vlogo pri oblikovanju podjetniških ambicij posameznikov in uspešnosti ustanavljanja ter delovanja podjetij. Raziskava s tem zagotavlja neprimerljiv vpogled v nacionalno podjetništvo in njegove značilnosti ter presega informacije, ki so na voljo v drugih statističnih virih. Raziskava namreč vključuje tudi odnos posameznikov in družbe do podjetništva ter želje in usposobljenost ljudi za podjetništvo, v vseh fazah podjetniškega procesa. S proučevanjem teh vidikov v različnih državah, GEM ugotavlja ključna gonila in ovire za podjetništvo, kar omogoča razvoj uspešnega podpornega ekosistema. Tokratna izdaja se med drugim osredotoča na digitalizacijo in umetno inteligenco ter njun vpliv na podjetništvo. Poudarek je na izzivih in priložnostih, ki jih prinašata digitalizacija in UI, ter na tem, kako lahko podjetja te trende izkoristijo za rast in razvoj.
Keywords: Globalni podjetniški monitor, podjetništvo, celotna zgodnja podjetniška aktivnost, gospodarski razvoj, podjetniški ekosistem, podjetniška politika, trajnostno poslovanje, digitalizacija, umetna inteligenca
Published in DKUM: 07.05.2025; Views: 0; Downloads: 8
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3. Entrepreneurship at the Advancement of Digitalization and Artificial Intelligence : GEM Slovenia 2024, Executive SummaryKarin Širec, Katja Crnogaj, Barbara Bradač Hojnik, Matej Rus, Polona Tominc, 2025, abstract or summary Keywords: Global Entrepreneurship Monitor, entrepreneurship, early-stage entrepreneurial activity, economic development, entrepreneurship ecosystem, entrepreneurship policy, sustainable business, digitalization, artificial intelligence
Published in DKUM: 07.05.2025; Views: 0; Downloads: 0
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4. Statistically significant differences in AI support levels for project management between SMEs and large enterprisesPolona Tominc, Dijana Oreški, Vesna Čančer, Maja Rožman, 2024, original scientific article Abstract: Background: This article delves into an in-depth analysis of the statistically significant differences in AI support levels for project management between SMEs and large enterprises. The research was conducted based on a comprehensive survey encompassing a sample of 473 SMEs and large Slovenian enterprises.
Methods: To validate the observed differences, statistical analysis, specifically the Mann–Whitney U test, was employed.
Results: The results confirm the presence of statistically significant differences between SMEs and large enterprises across multiple dimensions of AI support in project management. Large enterprises exhibit on average a higher level of AI adoption across all five AI utilization dimensions. Specifically, large enterprises scored significantly higher (p < 0.05) in AI adopting strategies and in adopting AI technologies for project tasks and team creation. This study’s findings also underscored the significant differences (p < 0.05) between SMEs and large enterprises in their adoption and utilization of AI technologies for project management purposes. While large enterprises scored above 4 for several dimensions, with the highest average score assessed (mean value 4.46 on 1 to 5 scale) for the usage of predictive Analytics Tools to improve the work on the project, SMEs’ average levels, on the other hand, were all below 4. SMEs in particular may lag in incorporating AI into various project activities due to several factors such as resource constraints, limited access to AI expertise, or risk aversion.
Conclusions: The results underscore the need for targeted strategies to enhance AI adoption in SMEs and leverage its benefits for successful project implementation and strengthen the company’s competitiveness.
Keywords: enterprises, project management, leadership, artificial intelligence
Published in DKUM: 04.04.2025; Views: 0; Downloads: 6
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5. A comparative study using two SEM techniques on different samples sizes for determining factors of older employeeʹs motivation and satisfactionMaja Rožman, Polona Tominc, Borut Milfelner, 2020, original scientific article Abstract: The purpose of this article is to present the relationships among older employee stress, motivation, satisfaction, and relationships in the workplace using two different approaches and different sample sizes. Research was implemented on an initial sample of 1013 older employees. In the next step, six smaller samples were calculated using the random selection of cases, namely samples with 25, 50, 100, 250, 400, and 500 older employees. This way the possible impact of sample size on relationships between latent variables using the covariance-based structural equation modeling (CB-SEM) and the partial least squares structural equation modeling (PLS-SEM) methods was assessed. The results on the larger samples have proved to be quite robust since they were confirmed with both approaches. They indicate that stress has a strong and negative impact on employee relationships and also a negative impact on employee satisfaction. Furthermore, employee relationships have a strong and positive impact on satisfaction and a positive impact on employee motivation. In addition, satisfaction has a strong and positive impact on employee motivation. The present paper helps readers to better understand the difference between the CB-SEM and the PLS-SEM methods. Researchers should be encouraged to use both techniques, even though CB-SEM methods have had a long tradition in management and marketing research since both fields heavily rely on psychometric measurement. From the organizational point of view, conclusions highlight the importance of the impact the variables of older employee stress, motivation, satisfaction and employee relations have on each other in the workplace.
Keywords: stress, employee motivation, employee satisfaction, employee relations
Published in DKUM: 10.03.2025; Views: 0; Downloads: 8
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6. Spatial exploration of economic data-insight into attitudes of students towards interdisciplinary knowledgeSimona Sternad Zabukovšek, Polona Tominc, Samo Bobek, Tjaša Štrukelj, 2020, original scientific article Abstract: This paper uses the technology acceptance model (TAM) framework for the research of economic and geography students’ attitudes towards interdisciplinary knowledge. Based on the SmartPLS Structural equation modelling SEM variance-based method, research results were gained through analysis of survey data of economic and geography students. They participated in the Spationomy project in the period of 2017–2019. Online questionnaires were fulfilled before and after students’ participation in the project and their future behavioural intention to use interdisciplinary knowledge was analysed. Based on the research, we can confirm that the Spationomy project has achieved its purpose, as both groups of students (economic and geography students) have acquired interdisciplinary knowledge and students intend to use it also in the future. Therefore, we can argue that the students included in the project in practice gained recognition of systems thinking about the importance of mutual interdisciplinary cooperation towards achieving synergies. The results also show that TAM can be successfully implemented to analyse how students of economics and geography accept the use of interdisciplinary knowledge in the learning process, which is an important implication for management and education as well as from the theoretical implications viewpoint. While effective analysis using TAM has been used successfully and relatively frequently in economics and business field, we have not found relevant examples of its implementation in the broader field of geography. However, the acceptance of geographic information system (GIS) or other information technologies/information software (IT/IS) tool-based approaches of analysis in the geography field may be of most importance. Therefore, also, this represents an important implication for the research area.
Keywords: spatial exploration, economic data, economic students, geography students, TAM, PLS SEM, interdisciplinary knowledge, holism, interdependence, strategic management
Published in DKUM: 07.01.2025; Views: 0; Downloads: 11
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7. The physical, emotional and behavioral symptoms of health problems among employees before and during the COVID-19 epidemicMaja Rožman, Polona Tominc, 2021, original scientific article Abstract: Purpose: The coronavirus disease 2019 (COVID-19) epidemic has caused stress for everyone and impacted the lives of people globally. Such stress increases troubles for the employees. Therefore, the aim of the paper isto identify symptoms of health problems that employees face during the COVID-19 epidemic. Also, the aim ofthe paper is to examine if there are statistically significant differences in the physical, emotional and behavioral symptoms of health problems among employees before the COVID-19 epidemic and employees during theCOVID-19 epidemic.
Design/methodology/approach: The research is based on a survey of 950 employees in Slovenian companies. The factor analysis and thet-test for two independent samples were used to test the hypotheses ofthe research.
Findings: The results show that physical, emotional and behavioral symptoms of health problems ofemployees during the COVID-19 epidemic are intensified as compared to the before COVID-19 epidemic era.
Originality/value: The results highlight the measures with which companies can reduce the problem of different symptoms of employees during the COVID-19 epidemic. The results can be useful for employers and for managers who want to create an adequate working environment for employees during the COVID-19epidemic.
Keywords: physical symptoms, emotional symptoms, behavioral symptoms, COVID-19 epidemic
Published in DKUM: 09.12.2024; Views: 0; Downloads: 18
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8. Statistika z raziskovalnimi metodamiMaja Rožman, Polona Tominc, 2024 Abstract: V današnjem hitro spreminjajočem se poslovnem okolju je ključnega pomena sposobnost razumevanja in uporabe statistike za sprejemanje utemeljenih poslovnih odločitev. Napredovanje tehnologije in povečevanje obsega podatkovnih baz omogoča podrobno analizo in interpretacijo podatkov, ki so temelj za prepoznavanje ključnih prihodnjih trendov in oblikovanje strategij na tej osnovi. V pričujoči zbirki obravnavamo statistična metodološka orodja, ki pomagajo pri razumevanju vpliva različnih dejavnikov na posamezne ekonomske in poslovne kategorije in odločitve, analiziramo sezonske komponente v časovnih vrstah ter opredeljujemo napovedovanje vrednosti v prihodnjih časovnih enotah, analiziramo večdimenzionalne spremenljivke in pristopamo k statističnim konceptom preverjanja domnev o različnih lastnostih statistične množice na osnovi slučajnega vzorca. Z razumevanjem teh procesov lahko posamezniki oblikujejo učinkovite strategije, ki temeljijo na dejstvih in podatkih, ter se pripravijo na prihodnje izzive in izkoristijo dinamiko tržnih sprememb.
Keywords: statistične metode, deskriptivna statistika, inferenčna statistika, univariatna statistika, multivariatna statistika
Published in DKUM: 22.11.2024; Views: 0; Downloads: 51
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9. Gender differences in work satisfaction, work engagement and work efficiency of employees during the COVID-19 pandemic : the case in SloveniaMaja Rožman, Simona Sternad Zabukovšek, Samo Bobek, Polona Tominc, 2021, original scientific article Abstract: The COVID-19 pandemic and the resultant lockdown has caused massive economic disruption, leading businesses to make a rapid transition and take a new approach to business strategy. Therefore, the aim of the paper is to examine if there are statistically significant gender differences in work satisfaction, work engagement, and work efficiency among employees who work from home during the COVID-19 pandemic. Further, the paper aims to identify the importance of individual dimensions of work satisfaction, work engagement, and work efficiency, and gender differences perspective. The research is based on a survey of 785 employees in Slovenian companies. The factor analysis and the t-test for two independent samples were used to test the research hypotheses. Findings: The results show significant gender differences in work satisfaction, work engagement, and work efficiency among employees who work from home during the COVID-19 pandemic. The paper provides change management insights and recommendations to assist companies in minimizing the negative impact of the COVID-19 pandemic on their employees.
Keywords: work satisfaction, work engagement, work efficiency, employees, COVID-19
Published in DKUM: 14.10.2024; Views: 0; Downloads: 12
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10. The human capital of the freelancers and their satisfaction with the quality of lifeIvona Huđek, Polona Tominc, Karin Širec, 2021, original scientific article Abstract: Digital technologies are underpinning a wide range of products, services, processes, and business model innovations that are significantly transforming industries, organizations, and society. They are increasingly permeating every aspect of our daily lives. In this paper, we looked at the challenges of digitalization, leading to a new way of working in the market and new business models, such as the gig economy. Individuals are becoming more mobile and self-directed in their careers, as opposed to traditional careers. We investigated the demographic characteristics of the new, growing group of self-employed, so-called freelancers, at the national level in Slovenia and investigated the relationships between human capital and their subjective (job and career satisfaction, life satisfaction) and objective success (income satisfaction). The survey was conducted among 200 freelancers (respondents). The empirical results show that most Slovenian freelancers working from home work in professional, scientific, and technical occupations; are between 35 and 44 years old; have completed the second level of tertiary education; work more than 40 hours per week; and have 16 years or more of work experience. To explore the quality of life of freelancers, empirical analysis showed that human capital factors are important for the success of a new career as a freelancer. The results show that freelancers’ human capital factors (education and experience, skills, and training) positively influence subjective and objective success. Using structural equation modeling, we also confirmed that human capital has a greater impact on freelancers’ subjective success (life satisfaction, career satisfaction) than on objective success (income satisfaction), suggesting that job and life satisfaction should be considered an important resource that freelancers rely on to determine their quality of life.
Keywords: digitalization, work engagement, freelancers' human capital, quality of life, subjective success, objective success
Published in DKUM: 19.08.2024; Views: 137; Downloads: 14
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