RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Quality of Courier Services from the Customer Perspective in the Republic of Serbia
No full textThe recent growth of the e-commerce sector—especially during and after the COVID-19 pandemic—has led to the expansion of the Courier, Express and Parcel (CEP) market. To remain competitive, courier companies had to adjust their business models to meet not only high demand but also customer expectations. The aim of this work is to assess the quality of courier services in the Republic of Serbia from the customers’ perspective. The relevant data was obtained via an electronic survey, which was informed by a comprehensive literature review. The online questionnaire was distributed via social networks (Facebook and Viber) in February 2023 and the subsequent statistical analyses revealed that, in the Republic of Serbia, satisfaction with courier delivery services is affected by the use frequency, customer characteristics (employment status, level of concern regarding personal data security) as well as the courier service characteristics (e.g. responsiveness, timeliness, delivery status, payment options)
New Trends in Secure Computer Science and Application and Innovative Software and Data Services for Modern Business
No full textBlockchain Infrastructure for Managing Competences in Higher Education
No full textRecognizing the evolving demands of the labor market, universities are redefining education systems to emphasize practical skills and competences. The aim of this paper is to propose a solution for competence management in higher education that ensures the authenticity and accessibility of acquired credentials which represent competences. The paper outlines a blockchain-based ecosystem for managing competences in higher education, benefiting stakeholders such as educational institutions, employers, and students. Additionally, this paper proposes a system that enhances data integrity and accessibility, facilitating the transparent issuance and verification of academic credentials by leveraging blockchain, NFT, IPFS, and graph technologies. Implemented as a decentralized application, the system allows professors and students to securely assign and view competences. In summary, this paper presents a comprehensive solution for credential management in higher education, leveraging blockchain technology to address challenges in credential verification and ensure the long-term relevance and value of academic credentials in the job market
Development Of A Metaverse Nft Fashion Marketplace
No full textThe goal of this paper is the development of the Metaverse NFT fashion marketplace. To develop such a solution, it is necessary to create an appropriate NFT Marketplace, for which the following technologies can be used: Ethereum Blockchain, Solidity, Pinata, MetaMask, Hardhat and ReactJS. The contribution of the paper is to show the methodological procedure of developing such a marketplace and its integration with the Metaverse. The significance of the paper is to assist those involved in fashion design and new technologies in utilizing it as a model for their new creations
A PROPOSED DATA MODEL FOR THE ENHANCED PROCESS OF ACQUISITION TESTED ON FINGERPRINT READERS
No full textToday, biometrics are increasingly used in everyday life. More and more devices have at least one
sensor through which biometric samples are collected. The influence of the environment when taking biometric
samples can be an important factor in the process of using biometric sensors. Also, the quality of the biometric
sample can be affected by the contamination of the sensor or the biometric modality on which the sensor
works. Evaluation of the quality of the biometric sample is an important part of the acquisition process. A data
model has been developed that tracks performance sensitivity during biometric sample acquisition. In this
paper, we present a data model that we tested on a multisensor biometric system with multiple fingerprint
readers during the acquisition process. During the experiment, fingerprints were taken with different finger
contaminations while controlling the environmental conditions under which the acquisition took plac
Identification of Factors of Industry 5.0 Achievements in Higher Education
No full textIndustry 5.0, as an interaction between humans and machines, can significantly impact increasing
efficiency and effectiveness in organizations. Its application has a wide range of implications in the field of
higher education, given that higher education institutions are key drivers of societal development. In an era of
global challenges and adaptation to market trends, higher education institutions face numerous challenges in
striving to achieve competitive advantage. In this context, the strategic framework of the Balanced Scorecard
was used to measure organizational performance in the domain of exploratory factor analysis (EFA) of Industry
5.0 achievements in higher education in the Republic of Serbia. The research results indicate the adequacy of
sampling according to the Kaiser-Meyer-Olkin (KMO) test, which shows a value greater than 0.5, confirming
the appropriateness of the analysis
Navigating the landscape: Unveiling the reflection of AI in the sharing economy through bibliometric-based approach
No full textRecent scholarly attention has surged in integrating artificial intelligence (AI) across various scientific domains, prompting a closer examination of AI’s pervasive influence on economic paradigms like the sharing economy (SE). This study delves into the multifaceted intersections of AI within the SE, employing a bibliometric-based analytical framework. By establishing a terminological grounding in AI, the study surveys a broad spectrum of AI applications in the SE, culminating in a bibliometric analysis that identifies emerging themes and trends. Analysing literature metadata from the Web of Science database over the past eight years, the focus is on citation topics within the SE. In-depth analyses, facilitated by the Bibliometrix R package, are applied to a curated selection of papers. The
findings reveal key insights, such as how AI-driven text analytics significantly enhance customer satisfaction through user-generated reviews. Additionally, AI plays a crucial role in promoting energy-efficient behaviour in smart accommodations, while algorithmic oversight is increasingly integrated into digital labour platforms to balance automation with human dignity. Furthermore, AI optimizes resource allocation and improves matching algorithms on online labour platforms, thereby boosting platform efficiency. The study suggests future research avenues, advocating for broader exploration of AI’s role in digital economic models and greater governmental involvemen
Exploring unconventional it practices: risks and opportunities for innovation
No full textIn the contemporary digital landscape, understanding the distinctions and overlaps between Workarounds, IT consumerization, and Shadow IT is important for organizations navigating the complexities of technology adoption. These concepts reflect the dynamic relationship between employees and technology, shaping how individuals interact with IT resources to meet their needs and enhance productivity. By comprehensively analysing these phenomena, organizations can harness the potential for innovation while mitigating risks associated with unauthorized technology usage. Moreover, recognizing the significance of these concepts underscores the importance of adaptability and agility in responding to evolving technological trends. Elucidating the phenomena facilitates organizations in optimizing their technological ecosystems to drive efficiency, innovation, and overall performance in the digital era. This paper delves into distinguishing relevant terms, highlighting both their similarities and differences, while also examining their impact on organizational performance metrics such as risk management, innovation, and overall efficiency. Through a comprehensive literature review, it seeks to clarify the nuances among these terms and their implications for organizational performance
Time series analysis of shared mobility services usage
No full textThe sharing economy refers to an economic system where individuals or entities share resources, assets, or services directly with others, facilitated by an online platform. The asset which is “shared” in the sharing economy and which attracts the attention of various stakeholders is mobility. Shared mobility services, encompassing various modes such as ride-sharing, bike-sharing, scooter-sharing, and carpooling, have emerged as pivotal components of urban transportation systems worldwide. As the shared mobility market is expanding in both developed and developing countries, it is of interest to analyse and predict the usage of shared mobility vehicles. As a case study, we will use ARIMA time series modelling to model the shared scooter usage in Bern, Switzerland. Our study provides insights into the temporal dynamics of shared mobility services, offering valuable implications for urban transportation policy, planning, and management
DIGITAL TRANSFORMATION AND KEY PERFORMANCE INDICATORS IN MANUFACTURING: A COMPREHENSIVE LITERATURE REVIEW
No full textDigitalization presents a revolution in the manufacturing sector that refers to the transition from traditional to digital technologies forming an integral part of Industry 4.0. The purpose of the article is to present the relevant literature dealing with Digital Key Performance Indicators and Digital Transformation Key Performance Indicators and their application in the manufacturing industry. The aim of the article is to improve the comprehension of digitalization in production processes and their optimization, where these key performance indicators are of high importance. The intention of the article is to highlight the importance of the application of digitalization in manufacturing companies, identifying key challenges, by presenting the results of the literature review using the bibliographic databases Scopus and Web of Science. The results presented in this article can help manufacturing companies improve the planning of their resources and direct them towards digital transformation, tending to gain a competitive advantage in the market