RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Navigating the Landscape of Sharing Economy: Servitization-based Business Model Innovation
No full textContemporary business environment alongside the advancement of digital technologies inspires organizations to adopt different business model innovations, embracing concepts like product-service systems (PS systems) and sharing economy. Both approaches are primarily about the creation of added value for those involved in the ecosystem by focusing on providing access to goods and services rather than pure ownership. Consequently, this leads to achieving resource optimization, step-forward sustainable development and advancing overall user experience. While a shift toward models enriched by services, promises enhanced customer value, it also entails uncertainties, organizational challenges and various risks, including managerial, operational or financial. Therefore, this paper examines and compares servitization-based business models grounded on recognized features from the available literature. This should be a starting point for a better understanding of the mutual value of these approaches and the corresponding effects of their application
Comparative Analysis Of Technologies For Mobile Application Development
No full textThe development of mobile applications has undergone significant changes over the past two decades, driven by the accelerated development of newer and more advanced mobile devices and development technologies. Today, there are several different options for mobile application development, and choosing the right approach often presents a challenge for developers. This paper aims to conduct a comparative analysis of various approaches to mobile application development, as well as to compare programming languages and frameworks for their development and it can be used as guide that should provide less experienced mobile app developers with assistance in selecting the most suitable option for development
Pravednost i jednakost u algoritamskom odlučivanju
No full textU poglavlju se istražuje problem algoritamske pravednosti, posebno u kontekstu automatizovanih sistema odlučivanja i algoritama mašinskog učenja koji se sve više koriste u oblastima poput zapošljavanja, pravosuđa i obrazovanja. Kroz analizu najpoznatijih primera nepravednih algoritama pokazano je kako nepravedni podaci i modeli mogu dovesti do diskriminatornih odluka. U poglavlju je, takođe, prikazan obuhvatan pregled literature za rešavanje algoritamske nepravednosti, uključujući početnu pripremu podataka, prilagođavanje algoritama i naknadnu obradu predikcija. Rad prikazuje najbitnije rezultate koje je grupa autora ostvarila u ovoj oblasti. Eksperimentalni rezultati pokazuju da postoji neizbežan kompromis između pravednosti i tačnosti nevezano od pristupa rešavanja, ali se pokazalo da blago smanjenje tačnosti može značajno unaprediti pravednost, posebno na nivou grupe. Ukazuje se da, ipak, postoji potreba za daljim istraživanjem metoda koje kombinuju matematičke i društvene aspekte pravednosti, kao i za razvojem algoritamskih sistema koji će omogućiti transparentnost i odgovornost u donošenju odluka
Segmentation of Ride-Sharing Consumers: The case of BlaBlaCar Users From the Republic of Serbia
No full textShared mobility can be defined as transportation services and systems that allow individuals to access and use vehicles or means of transportation on a shared basis rather than owning them. Forms of shared mobility encompass ride-sharing, carpooling, bike-sharing, car-sharing, and others. The question that tackles practitioners in the field is how users of these services can be segmented. Therefore, this study aims to segment Serbian users of a ride-sharing platform,
BlaBlaCar. The data utilised in the paper was collected through an empirical study conducted from
May to December 2023. Employing the k-means clustering algorithm, the resulting segments provide insights into the differences in behaviour, experience, and satisfaction with the BlaBlaCar platform and service among users. This research serves as a potential catalyst for further
exploration of segmentation analysis in the fields of sharing economy and shared mobility
Sharing economy value perception and employees’ workplace satisfaction in co-working spaces
No full textThe sharing economy paradigm inspires changes in various work-related domains by imposing the values of social cohesion, collaborative lifestyle and sustainability. The embodiment of this value system is seen in the evolving trend of co-working space. In order to investigate the relation between the perception of the presence of these specific values in office spatial features and the capacity of the workspace to satisfy the psychosocial needs of occupants, we conducted research on 81 employees working in different office types. It was found that employees recognize availability, collaboration, ability to create networks and openness, as more represented values and satisfaction with personalisation and territoriality more linked with them Results also show that there is a correlation between perceived values and workspace satisfaction with the focus on the needs for status congruency that becomes more emphasized in traditional shared offices along with the identification needs, which becomes the challenge for modern co-working offices
Towards the Utilization of AI-powered Assistance for Systematic Literature Review
No full textSystematic literature review (SLR) serves as a cornerstone of evidence-based research, yet its execution often proves time-consuming and labor-intensive. The advent of ChatGPT has sparked interest in harnessing artificial intelligence to streamline various tasks. This paper aims to evaluate the efficacy of two GPT-based tools, Elicit and SciSpace, in automating the SLR process. We assess their usability and reliability in two SLR steps: literature search and citation screening. Through testing via conducted SLR, we examine the benefits and limitations of these tools. Our findings suggest that while Elicit and SciSpace offer significant assistance in literature retrieval and study selection, their integration with human expertise is essential to ensure the thoroughness and accuracy of the review process
Značaj primene standarda za sistem menadžmenta životne sredine
Full text linkOd davnina do danas, svet je prošao kroz mnoge transformacije. Društvo i prirodno okruženje su se dramatično promenili u poslednjim decenijama. Vidljive su posledice kao što su porast temperature, manjak resursa i izumiranje pojedinih vrsta, kao rezultat neadekvatnog delovanja čoveka i organizacija prema životnoj sredini. Sve ovo pokazuje da je životna sredina ugrožena. Posledice ponašanja ljudi su postale naglašene i sve više raste svest o tome. O ovome govori i činjenica da se preduzimaju različite aktivnosti za zaštitu životne sredine, kako na globalnom, tako i na regionalnom i nacionalnom nivou. Razne svetske organizacije su preduzele akcije koje vode društvo ka cirkularnoj ekonomiji. Ovakva situacija dovela je do toga da su, poslednjih trideset godina uloženi veliki napori da se investicijama i inovacijama, smanji degradacija, sa jedne strane, a da se, sa druge strane efikasnije koriste obnovljivi izvori i ograniči upotreba neobnovljivih.
Organizacije, u skladu sa tim, razumeju važnost očuvanja i zaštite životne sredine što dovodi do implementacije standarda za sisteme menadžmenta životne sredine. Ovaj rad upravo govori o značaju primene ovih standarda i o tome koje sve pozitivne strane organizacije imaju njihovom implementacijom. Obuhvaćeni su efekti primene zahteva standarda ISO 14001 – Sistemi menadžmenta životne sredine – Zahtevi sa uputstvom za korišćenje, i izlistani su drugi standardi koji se tiču društveno odgovornog poslovanja i očuvanja životne sredine, poput ISO 50001:2018, zatim ECOLOGO standardi, Energy star, Cradle to Cradle i slično. Svrha ovog rada je, da se pregledom literature i analizom različitih studija slučaja, ukaže na efekte primene ovih standarda u radu organizacija. Istraživanja su pokazala da je primena standarda imala pozitivan uticaj kako na poslovanje organizacije, tako i na očuvanje i uključivanje lokalne zajednice u kojima se nalaze ove organizacije
To impute or not? Testing multivariate normality on incomplete dataset: revisiting the BHEP test
No full textIn this paper, we focus on testing multivariate normality using the BHEP test with data that are missing completely at random. Our objective is twofold: first, to gain insight into the asymptotic behavior of the BHEP test statistics under two widely used approaches for handling missing data, namely complete-case analysis and imputation, and second, to compare the power performance of the test statistic under these approaches. Since complete-case approach removes all elements of the sample with at least one missing component, it might lead to the loss of information. On the other hand, we note that performing the test on imputed data as if they were complete, Type I error becomes severely distorted. To address these issues, we propose an appropriate bootstrap algorithm for approximating p-values. Extensive simulation studies demonstrate that both mean and median approaches exhibit greater power compared to testing with complete-case analysis, and open some questions for further research. The proposed methodology is illustrated with real-data examples
Evaluation of the performance measures in manufacturing cell formation
No full textIn this work, the Cell Formation Problem (CFP) within manufacturing systems is evaluated, seeking to optimize production processes. Accordingly, the appropriateness of the existing evaluation measures for use in dynamic manufacturing scenarios is investigated with the view of enhancing their accuracy and efficacy. The obtained findings indicate the need to reevaluate the commonly adopted evaluation measures for CFP, potentially replacing them with data-driven and context-specific approaches. A quantitative methodology is successfully used to defines parameters that quantify the quality of evaluation measures, rendering such evaluation more robust and adaptable to specific contexts. While grouping efficacy is a commonly accepted measure in this research field, it was shown to exhibit drawbacks that do not justify its widespread popularity. In response to the identified research gaps, a refined objective function is proposed for the core CFP problem. This novel function is designed to enhance solution efficiency and accuracy, ultimately contributing to improved manufacturing processes. The aforementioned findings present a significant advancement in the understanding and application of evaluation measures in the CFP domain, offering a foundation for further research and potential enhancements in manufacturing optimization practices.Articles in Press, Accepted Manuscript, Available Online from 22 January 202
Development Of Personal Health Record Based On Blockchain
No full textPatients face challenges such as the inability to track their all-health activities through a single application. The paper provides a detailed overview of the design and development of a decentralized PHR application based on blockchain. The application design encompasses main interactions between patients and key stakeholders in a healthcare ecosystem. Design of the developed PHR application prioritizes simplicity, intuitiveness, and accessibility, fostering seamless interaction for healthcare providers and patients. B2C transactions can be conducted using developed smart contract in Solidity. Developed application enables patients to track their medical reports, analysis, medical treatments and to track their health parameters in real time. This is a unique application that enables storing all medical records and medical data history in one place with possibility to share this data in the request