RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Dostignuće industrije 5.0 u visokoškolskim ustanovama na osnovu Balanced Scorecard (BSC)
No full textRazvoj tehnologija obeležio je Industriju 4.0 dok Industrija 5.0 ide korak napred stvarajući balans između tehnološkog i društvenog aspekta. Poznato je da visokoškolske ustanove imaju ključnu ulogu u razvoju društva i da industrijske revolucije moraju biti podržane u akademskim zajednicama. Visokoškolske ustanove ostvarenje strateških ciljeva mogu postići primenom modela Balanced scorecard. Shodno tome, upotrebljen je Balanced scorecard sa naglaskom na perspektivu internih poslovnih procesa, s obzirom da je ova perspektiva usmerena na operativne aktivnosti organizacije. Fokus ovog istraživanja usmeren je na deskriptivnu strukturu varijabli koje čine perspektivu internih poslovnih procesa. Anketno istraživanje sprovedeno je u visokoškolskim ustanovama u Republici Srbiji na osnovu 374 pravilno popunjenih odgovora. Dobijeni rezultati pokazuju najvišu prosečnu ocenu za pitanja koja uključuju: računarska oprema, online baze podataka, naučni časopisi i dostupni bibliotečki materijali adekvatni za potrebe primene Industrije 5.0 radi poboljšanja kvaliteta istraživačkog procesa u pravcu Industrije 5.0 što dovodi do zadovoljstva studenata nastavnim procesom i ukupnom nastavnom performansom u Industriji 5.0
RELASHIONSHIP BETWEEN COLD CALLING AND WARM CALLING: A CASE STUDY OF A STUDENT ORGANIZATION
No full textThis paper investigates the relationship between cold calling and warm calling within a student
organization, employing Ivanovic's distance method for ranking students in their cold calling and warm calling
tasks. The Spearman correlation test is used for examining the correlation between cold calling and warm
calling tasks. The study has 32 individuals from various offices, focusing on their performance in initiating
business contacts (cold calling) and securing partnerships (warm calling). Results indicate a moderate positive
correlation (0.554) between cold calling and warm calling, suggesting that skills in one area tend to translate
into the other. The findings also reveal significant variations in performance across different offices, with the
Niš office exhibiting exceptional efficiency in both tasks. This study underscores the importance of targeted
training programs while addressing the unique demands of each calling task, aiming to optimize organizational
performance and establish effective partnership strategies
The Interplay of Learning Analytics and Artificial Intelligence
No full textThe widespread use of digital systems and tools in education has opened up opportunities for collecting, measuring, and analysing data about user (learner, teacher) interactions with a variety of learning resources and activities, with the ultimate objective of better understanding learning and advancing both learning outcomes and the overall learning experience. This promise motivated the development of Learning Analytics (LA) as a research and practical field and the use of insights derived from learning trace data for evidence-based decision making in a variety of educational settings. While LA has made a significant contribution to better understanding of learning and the environments in which it takes place, many open questions and challenges remain. Furthermore, new opportunities and challenges continue to emerge with the ever-changing modalities of teaching and learning, the latest of which are associated with the rapid development and accessi-bility of Artificial Intelligence (AI). Taking the cyclical model of LA as its exploration framework, this paper examines how key components of the LA model -- namely data, methods, and actions -- relate to and may benefit from the latest develop-ments in AI, and especially Generative AI. Aiming for evi-dence-based analysis and discussion of the interplay between LA and AI, the paper relies on the latest empirical research in LA and the related research fields of AI in Education and Educational Data Mining
Pursuing a career in the field of applied statistics and data analytics: What are the antecedents?
No full textGaining insight into the interests of individuals in a particular job position or field of specialisation is crucial for educators, decision-makers, and policymakers when guiding them in pursuing their desired professional careers. This is especially important in job positions related to STEM (science, technology, engineering, mathematics), as these fields have global impact, influencing economies, societies, and the environment. Considering the advances of machine learning, artificial intelligence and open innovation, on one side, and traditional fear and anxiety towards mathematics-related subjects, understanding the factors that impact the students` decision to pursue a career in the field of applied statistics and data analytics is important not only for the future job market but for the future of teaching and lecturing statistics. To scrutinise the latter statement, the authors surveyed undergraduates' attitudes towards specialising in statistics and data analytics. A total of 401 responses were acquired independently from two consecutive generations. Logistic regression models were developed for both covered generations. Regarding the results, firstly, both models were noted as statistically significant. Secondly, classification success ranges from 71.3% for the 2022/23 generation to 81.5% for the current generation (2023/24). Thirdly, the model for the previous generation outlined high expectations of programming skills and a prosperous perspective of data analytics as significant predictors. On the contrary, the current generation model showed that the undergraduate program and a prosperous data analytics perspective are significant predictors. Furthermore, gender and grades in mathematical subjects showed no statistically significant relevance to model prediction. This study sheds light on the fact that students' interest in specialising in the fields of statistics and applied statistics did not change between generations. However, the factors impacting their decision-making have. Studies such as this could act as an impetus for further, more detailed studies on tracking undergraduates' perception of the field of statistics as a potential career path
A novel test of missing completely at random: U-statistics-based approach
No full textIn this paper, a novel test for testing whether data are missing completely at random is proposed. Asymptotic properties of the test are derived utilizing the theory of non-degenerate U-statistics. It is shown that the novel test statistic coincides with the well-known Little's d2
statistic in the case of a multivariate data that has only one variable susceptible to missingness. Then, the extensive simulation study is conducted to examine the performance of the test in terms of the preservation of type I error and in terms of power. Various underlying distributions, dimensions of the data, sample sizes and alternatives are used. Performance of the Little's MCAR test is used as a benchmark for the comparison. The novel test shows better performance in all of the studied scenarios, better preserving the type I error and having higher empirical powers for every studied alternative
Navigating AI-induced workplace transformation: An econometric study of layoff anxiety
No full textThe fast development and integration of (AI) artificial intelligence within the workplace led to significant transformations and disruptions across industries. Alongside its promises of improved eficiency and innovation, AI adoption has raised concerns regarding potential job displacement and workforce anxiety. One of the industries which has especially been transformed by AI is the IT industry. This study has the goal of assessing the IT employee's layoff anxiety in the two-year and ten-year period, taking into account ther attitudes and perceptions of how AI changes and complements their skillS. An econometric approach will be employed to model how perceptions of the transformational power of AI impact workforce anxiety. The results indicate that workforce anxiety can be successfully modeled and that the perceptiou of one's skills being less valuable is a significant predictor. It is hoped tnat the research findings will shed light on the complex nature of layoff anxiey in the context of AI-driven skill transformations, providing valuable insiguts
for IT employees, human resource managers, organisational leaders and stakeholders
Unveiling Crucial Factors Shaping Ridesharing Usage Intention: Insights from Serbia
No full textThe aim of our paper is to reveal crucial factors related to the intention towards adoption of ridesharing service. To determine the importance of the factors we employ machine learning technique. Employing a survey methodology and a total of 325 questions, we gathered data from students at the University of Belgrade – Faculty of Organizational Sciences. We then analysed responses using a Random Forest Classifier to predict ridesharing service usage intention. Our findings reveal that social influences, including word-of-mouth and perceived enjoyment, are paramount in shaping intentions to use ridesharing services. Negative perceptions about the complexity and safety of ridesharing also emerged as influential. Since our research was focused on first-time users of ridesharing concept the findings can be of great importance for the emerging sharing mobility providers. Outlined top preferences can dictate market operators’ penetration strategies that should be adjusted based on the potential consumers’ perceptions and motives
Students’ Perception of Quality Management Level in University Student Associations: The Case of Serbia
No full textThe Total Quality Management (TQM) paradigm
encompasses adapted and developed management techniques,
emphasizing process management, leadership, strategic
planning, customer focus, supply management, human
resources management, and quality indicators. This research
focuses on applying a TQM-based model to analyze
relationships among TQM criteria in university student
associations. Specifically, it explores students' perceptions of
process approach-based thinking as a catalyst for
organizational and quality indicators in these associations.
The study, involving 700 respondents, utilized Structural
Equation Modeling (SEM), incorporating confirmatory factor
analysis and path analysis. Key findings reveal that process
management positively influences all TQM elements, while
only leadership and human resources management directly
impact quality indicators. The study's outcomes have the
potential to enhance decision-making processes in
universities and student associations, thereby improving
academic and future business life quality
Procena pristupačnosti online usluga Vlade Srbije za korisnike sa oštećenjem vida
No full textIn the digital age, organizations must incorporate online platforms as a part of their operational
activities. A website serves as a visual representation of an organization's expertise, utilizing eye-catching elements to captivate human attention and encourage interaction. However, this kind of user interface development strategy is not suitable for people with visual impairments, and therefore those websites might not be accessible to them. This paper analyzes and studies accessibility principles, standards, and existing regulations. The primary focus is on evaluating these practices in the design of a Serbian e-government website as a case study. The benefits and limitations of current practices were identified alongside the recommendations for user interface design improvements to enhance website accessibility, particularly for users with visual impairments.U digitalnom dobu, organizacije moraju da prilagode svoje poslovanje i klijentima u digitalnom prostoru i uključiti digitalne platforme u okviru svojih operativnih aktivnosti. Veb-sajt je vizuelna reprezentacija ekspertize organizacije koja koristeći kombinaciju različitih elemenata kako bi privukle pažnju korisnika i podstakle interakciju. Ovakva strategija nije pogodna za osobe sa oštećenjem vida i, samim tim, online platforme im nisu dostupne. U ovom radu su analizirani i proučavani principe, standarde i postojeće regulative na kojima počiva pristupačnost sajtova. Primarni fokus je studija slučaja čiji je cilj evaluacija primenjenih tehnika u projektovanju i implementaciji sajta za obavljanje državnih poslova u Republici Srbiji koje bi doprinele njegovoj pristupačnosti. Identifikovane su prednosti i ograničenja trenutnog stanja, kao i preporuke za poboljšanja korisničkog interfejsa kako bi se postigao viši nivo pristupačnostisajta, sa posebnim osvrtom na korisnike sa oštećenjem vida
APPLICATION OF THE 8D METHODOLOGY IN THE AUTOMOTIVE INDUSTRY
Full text linkIn the context of the rapidly changing and complex automotive industry, the 8D methodology stands out as a vital tool for continuous process improvement through a systematic approach to problem-solving and quality management. This paper offers an exposition of the 8D methodology, a highly effective quality management tool for addressing internal and external problems, specifically focusing on its practical application in the automotive industry. By analysing real-world case studies, we demonstrate how this methodology is effectively applied in practice, outlining the steps involved in problem identification and resolution and the long-term benefits of its implementation. This paper underscores the critical role of quality in ongoing operations and the necessity for dedicated implementation and oversight of the quality management system to ensure long-term success in the automotive industry in Serbia