RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Blockchain Ecosystem for the Real Estate Industry
No full textBlockchain is a fast-rising technology that has the potential to change how we pay for things, verify infor-mation, or buy or sell. Today, we see how blockchain has an impact on many industries, and real estate is one of them. Some of the issues that this industry is facing now are a lack of liquidity, complicated transactions, and many frauds in process. The purpose of this paper is to focus on the theoret-ical explanation of the blockchain ecosystem within the real estate industry. In other words, how blockchain, combined with smart contracts, can be used in the real estate sector and how this industry can benefit from using this technology We start with an explanation of the blockchain technology itself and then explain how this technology can be implemented in the real estate industry. The special focus of this paper is the theoretical example of a system for real estate transaction processing that uses blockchain technology
Investigating Factors Influencing Spreadsheets Competency of Undergraduates: Domain-Based vs Tool-Centered Learning Approach
No full textSpreadsheets have become an indispensable part of the business world, and it is crucial that they are integrated into the corresponding study programs' curricula. However, despite their widespread use in organizations and higher education courses, there are still some challenges associated with their utilization. The risk of using spreadsheets can be singled out as very significant, and it is directly conditioned by the quality of the spreadsheet model. Although these are well-known issues, their interconnection with learning-approach has not been sufficiently explored. This paper presents the research on the interdependence of the risk of use and the quality of the spreadsheet model on the one hand, and the learning approach (tool-centered vs domain-based), on the other hand. The participants in the study were from two universities, fourth-year students of Business Informatics and Operations Management students. Both groups of students have taken courses that involve working with spreadsheets. The spreadsheet course for Business Informatics students was based on a tool-centered learning approach, while Operations Management students undertake more domain-based learning approach. Furthermore, Business Informatics students took the spreadsheet course after several programming and database courses, and therefore had a solid IT background. Operation management students took multiple courses related to problem-solving, engineering, and quantitative methods. The total number of participants was 60. Contrary to the assumption that students with greater IT background would create higher-quality spreadsheets, the results indicate no significant difference in quality between students with and without an IT background. Additionally, domain-based learning did not result in better-quality spreadsheet models. The study also explored students' attitudes toward spreadsheet risks. Students who were more familiar with spreadsheet risks, best practices and model development frameworks, created higher-quality spreadsheets with fewer errors. Consequently, incorporating lessons related to spreadsheet risks and best practices in spreadsheet courses can positively impact the quality of students' spreadsheet models. Finally, the study highlights the need for end-users and organizations to be aware of the risks that spreadsheet applications can pose in business decision-making. This paper should point out the importance of necessary improvements in curriculum of spreadsheet courses since it is evident that the mistakes have been made in training spreadsheet end-user developer for more than 30 years
Application of statistics in sport related research: A bibliometric analysis
No full textSport analytics has been attracting the attention of experts in the field of sport science, medicine, as well as statistics, data analytics, and engineering. As sport statistics is a prominent field of research, especially nowadays when the implementation of technologies in sport and the data can be collected more easily, it would be valuable to conduct a bibliometric analysis of the articles published related to sport analytics and injury prevention. To do so, in this paper, a bibliometric analysis has been performed based on the data available in the SCOPUS database. Articles published in journals on English between 2013-2023 were observed. The analysis encompassed 17309 articles. The results show steady increase in the number of articles published yearly, from 1040 articles in 2013 to 2346 articles published in 2022. So far, in 2023, 619 articles have been published. Most papers are indexed in the subject area of medicine (53.9%) and health professions (21.2%). The third most common subject area is other (7.4%) which encompasses multidisciplinary, mathematics, physics and similar. Interestingly, 1% is classified in the subject area computer science and engineering. Detailed bibliometric analysis will be performed, encompassing analysis per affiliation, by country, as well as by authors. The analysis will be conducted in R statistical package, using the package “bibliometrix”. The added value of the paper is in the presentation of how the research and publication in the field of sport analytics is changing, and providing insights on who the leading authors and institutions in the field are
SHARED MOBILITY IN EUROPE: A CLUSTER ANALYSIS APPROACH
No full textKako se ekonomija deljenja brzo razvija, sveobuhvatan pregled situacije na evropskom prostoru u
oblasti deljenja mobilnosti postaje sve potrebniji. Ovaj rad analizira stanje u oblasti deljenja mobilnosti u
zemljama Evrope i sagledava način na koji se evropske zemlje mogu segmentirati u zavisnosti od stepena učešća
u deljenju mobilnosti. Posmatrano je 12 indikatora deljenja transporta, u 26 zemalja Evropske Unije, za koje su
podaci bili dostupni. Korišćena je klaster analiza i algoritam k-srednjih vrednosti (k‐means). Rezultati pokazuju
da je najveći procenat korisnika deljenja transporta u grupi obrazovanih i mladih ljudi, uzrasta između 16 i 35
godina. Pored toga, korišćenjem klaster analize dobijena su tri segmenta zemalja Evrope. Analiza klastera otkriva
jasne razlike u upotrebi veb-sajtova i aplikacija za deljenje automobila, kao i u obrazovanju i prihodima među
različitim segmentima. Takođe, rezultati ukazuju da geografski položaj zemalja ne utiče na raspodelu zemalja
unutar klastera, jer drugi i treći klaster čine zemlje iz različitih delova Evrope. Dobijeni rezultati mogu biti od
koristi za donošenje odluka i usmeravanje marketinških i transportnih resursa ka određenim ciljnim tržištima,
kao i za potrebe formiranja strategija nastupanja na određenim tržištima.As the sharing economy develops rapidly, a comprehensive overview of the situation on the European
shared mobility scene is becoming increasingly necessary. This paper analyzes the state of shared mobility in
European countries and observes how European countries can be segmented based on the populations’
participation in the economy of shared mobility. We observed 12 indicators of shared mobility in 26 countries
of the European Union, for which the data were available. We used the K-means algorithm of cluster analysis.
The results show that the highest percentage of shared mobility users belongs to the group of educated and
young people aged between 16 and 35. In addition, three segments of European countries were obtained using
cluster analysis. Cluster analysis reveals apparent differences in the use of shared mobility websites and
applications, as well as differences in education income among segments. Additionally, the results indicate that
the geographical position of the country does not affect the placement within the cluster, as the second and the
third cluster contain countries from different parts of Europe. The results of our analyses can be helpful in
decision-making and allocating marketing and transportation resources to specific target markets, as well as for
development of market-entry strategies in specific markets
Uloga ekonomije deljenja u ostvarivanju održivosti i ciljeva održivog razvoja
No full textŠirom sveta, ekologija i zaštita životne sredine predstavljaju teme od velikog značaja. Takođe, svest o učešću ljudske civilizacije u degradaciji prirode, što nameće nove oblike razvoja sa istaknutim ekološkim vrednostima, postaje sve jača. Stoga, raste pažnja akademske zajednice, istraživača i ekonomista usmerena ka konceptu održivosti. Koncept ili paradigma održivosti predstavlja ideju, proces ili strategiju povezanu sa prevazilaženjem postojeće situacije koja se odražava u ekološkim, društvenim i ekonomskim krizama. Prema tome, održivost je direktno povezana sa održivim razvojem i dimenzijama: ekološkom, društvenom i ekonomskom. Stoga je od suštinskog značaja uvođenje ekonomije deljenja u ove teme, imajući na umu da je pitanje održivog razvoja od posebnog značaja u intenzivnom razvoju teorije ekonomije deljenja, i da odnos između ova dva fenomena zahteva dalja istraživanja. Cilj rada je istraživanje veze između ekonomije deljenja i održivosti, kao i uticaja ekonomija deljenja na postizanje ciljeva održivog razvoja
A Step towards the Setting of a Comprehensive Leadership Measurement Model: Gap, Necessity, and Proposal
No full textEmpowering learning process in secondary education using pervasive technologies
No full textIn this paper we present an approach to employing pervasive technologies, such as IoT and mobile technologies, in secondary education. The goal is to develop a comprehensive methodology, IoT infrastructure and a mobile application that would enable secondary students to test their knowledge in interaction with a smart environment. We have developed a series of assignments that students solve using the Android application empowered with augmented reality that interacts with various QR codes, sensors, and actuators placed in a smart classroom. The evaluation of the developed system was done with the students of the Secondary School of Economics in Belgrade, Serbia. Students from the experimental group, after solving assignments using the developed mobile application in interaction with the smart learning environment, have tested their knowledge via an IoT test and filled out a questionnaire, while students in the control group solved the test in a traditional way. The results show that it is possible to increase the level of students' knowledge by integrating IoT and mobile technologies in the learning process. In addition, the results show that students are ready and interested in using pervasive technologies within their formal education
Aggregation Operators for Decision Making Based on q-Rung Orthopair Fuzzy Hypersoft Sets: An Application in Real Estate Project
No full textIn this paper, a decision-making problem with a q-rung orthopair fuzzy hypersoft environment is developed, and two operators of ordered weighted average and induced ordered weighted average are developed. Several fundamental features are also derived. The induced ordered weighted average operator is essential in a q-ROFH environment as the induced ordered aggregation operators are special cases of the existing aggregation operators that already exist in q-ROFH environments. The main function of these operators is to help decision-makers gain a complete understanding of uncertain facts. The proposed aggregation operator is applied to a decision-making problem, with the aim of selecting the most promising real estate project for investment
