RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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THE PERCEPTION OF E-LEARNING QUALITY IN HIGHER EDUCATION: SEM-ANN APPROACH
The pandemic resulted in lockdown measures worldwide, which forced humanity to seek online alternatives to almost every human activity, including the education system. This research aims to develop a new integrated model to determine the predictors of the quality of E-learning during the pandemic disruption. This paper provides the development of the traditional approach based on Structural Equation Modelling (SEM) into the prediction method based on the Artificial Neural Network (ANN). This research was conducted on a sample comprising 1,254 students of the University of Belgrade. The results show that Authority initiative had the most important influence and significance in predicting the perception of the Quality of E-learning during the pandemic. At the same time, the Information Security predictor had the most negligible impact. The findings contribute to the raising the academic community and policy-makers awareness to the necessity of dealing with quality in E-education to a greater extent, especially in emergencies such as pandemics. The suggested combination of constructs that predict the Quality of E-learning has never been analysed in previous research by applying SEM-ANN methodology, which represents the additional contribution of this study
The Power of Sharing in Disaster Management: Insights from a Bibliometric Review
For all of history, mankind built their cities in disaster-prone areas - the foothills of volcanoes
with their fertile ground, the deltas of rivers that provided transport and fishing possibilities, but also
earthquakes and floods. With changing weather patterns and climate change, natural disasters will only
be more frequent and severe than they have ever been before. When disaster strikes, all people are
one, no matter the economic or educational background, and no matter the state borders. In these times,
the sharing economy must play a significant role in providing disaster relief and helping survivors. In this
paper, a bibliometric analysis is conducted with the aim of exploring the evolving landscape of the
sharing economy's role in disaster management. The authors of the study conducted a review of the
literature throughout time to pinpoint important themes, trends, and research gaps. The objective was
to furnish a comprehensive synopsis of the existing theoretical and empirical understanding in
researched field. This was accomplished through descriptive qualitative investigation of Web of Science-
WoS database documents
Layoffs in the shared mobility industry: Trend analysis
The sharing economy is a novel business model which allows
individuals to share assets with others via platform for a predefined price
and period. The sharing economy has profoundly impacted the business
environment, transforming traditional industries and creating new opportunities.
Just some of the changes in the business environment due to the sharing
economy are improved asset utilisation and efficiency, focus on access over
ownership., development of new business models, as well as globalisation of
services. Although these changes are mostly positive and the business model
of the sharing economy is promising, this industry is not resilient to layoffs.
This paper conducts a trend analysis of layoffs within the sharing mobility
sector in the period 2020-2023, exploring the dynamics and implications of
workforce reductions in this evolving sector. Secondary data available from the
layoffs.fyi website will be used in the study. The conducted analysis will assess
the magnitude and patterns of job losses and examine the broader impact on
the shared mobility workforce. Research findings could contribute to a better
understanding of the industry's employment landscape
Crowdfunding and Entrepreneurial Drive: A New Paradigm in the Sharing Economy
The popularization of the sharing economy has prompted transformative shifts in all economic activity, particularly in innovative financing options like crowdfunding. This study examines college students' perspectives on entrepreneurship and the role of crowdfunding as a tool for securing funds for their ventures. This research applies the Theory of Planned Behavior to explore the impact of students' attitudes, perceived control and social norms on entrepreneurship. It also examines the impact of formal entrepreneurial and financial education on entrepreneurial intentions and crowdfunding success. Structural Equation Modeling (SEM) was utilized to assess the hypotheses based on data collected from a survey conducted across multiple countries in the Balkans. The outcomes indicated that social norms have minimal impact on entrepreneurial intentions. Nonetheless, all other hypotheses showed significance. The findings also highlight the need to develop entrepreneurial skills and knowledge of financing options, suggesting the inclusion of crowdfunding in education to boost financial literacy and prepare students for modern entrepreneurship
Serbian Gen Z and the Gig Economy: Unveiling Perceptions and Motivational Factors
This study investigates the engagement of Serbian Generation Z individuals in the gig
economy, focusing on perceptions and motivational factors. Through an examination of existing gig
economy platforms in Serbia, as well as a survey conducted among University of Belgrade students, the research explores student participation in the gig economy. Findings reveal that a smaller percentage of surveyed students participate in platform work (only 6.8%) and that females dominate this group. Factors such as financial support for tuition fees are associated with increased participation. Students offering skills via platforms primarily engage in tasks such as online classes and social media management, with average hourly rates of around 16 EUR. The study suggests the need for educational initiatives to raise awareness among young individuals and highlights the importance of further research to generalize findings and understand workforce segmentation within the gig economy
Investigating the relationship between environmental consciousness and sharing economy attitudes among youth in Serbia
This paper explores the relationship between environmental consciousness and attitudes
towards the sharing economy, aiming to shed light on the potential interplay between environmental
awareness and participation in collaborative consumption practices. The research investigates whether individuals with a heightened environmental consciousness exhibit more favorable attitudes towards sharing economy initiatives. By delving into the motivations, values, and perceptions that shape environmentally conscious decisions of individuals, the paper seeks to unravel the underlying factors influencing their engagement with sharing platforms. A conceptual model is proposed to explore the mentioned relationships. To test the validity of the model, we conducted a survey among the Gen Z population in Belgrade, Republic of Serbia. The model was verified using structural equation modelling (SEM). The results point out that environmental consciousness and environmental behavior impact perceptions and attitudes regarding the sharing economy. However, that impact is moderate to low. The research implications extend to policy-makers, businesses, and scholars seeking to understand and promote sustainable practices within the context of the sharing econom
The Synergy of Interpolative Boolean Algebra and Ordinal Sums of Conjunctive and Disjunctive Functions in Stock Price Trend Prediction
Stock price prediction is crucial for accurate investment decision-making and widely regarded as one of the most important tasks in finance. Investors and financial professionals rely on a wide range of input data, such as market information, technical analysis, and fundamental analysis, to make informed decisions. When it comes to financial data, it is important to incorporate the logical dependencies of inputs into the modeling and prediction process. Therefore, logic-based approaches are considered adequate for solving such problems. This paper proposes a novel logic-based approach to stock price trend prediction based on Interpolative Boolean algebra (IBA) and ordinal sums of conjunctive and disjunctive (OSCD) functions. This is the very first paper that aims to explore the synergy of these two approaches in a real-world setting, utilizing their comparative advantages in different phases of modeling. The proposed approach is tested on a sample of 23 companies from the S&P500 over the past three years. The paper also presents the results of the application of the proposed model for the analyzed companies
Digital Platforms in Higher Education in Light of Industry 4.0
The wheels of the Industrial Revolution propel the progression of society, while the societal transformation mirrors the imminent Industrial Revolution acknowledged within the contexts of Industry 4.0. Notably, the rapid progress of technological innovation has had a significant impact on various sectors, including the field of education. Consequently, contemporary universities are tasked with delivering a heightened level of service quality to align with evolving industrial trends, emphasizing human innovation and collaboration within shared digital environments. The introduction of digital platforms and distance learning represent key changes in how education is approached, providing the various tools and resources that support learning, teaching, research and administrative processes. Hence, this paper seeks to define a measuring instrument for quality variables in online higher education through factors such as tangibility, reliability, readiness, assurance of digital platforms, and empathy in their use. Examining the correlation between defined quality variables in higher education through the use of digital platforms will provide a clear insight into the direction and strength of the relationship that exists between quality variables, emphasizing their positive relationship. These findings provide a basis for constructing a framework to enhance the quality of digital platforms in the Industry 4.0 era, contributing to the foundational elements for developing Society 5.0
A Methodological Approach of Development of an NFT Project
This paper explores the development of the NFT (Non-Fungible Token) project, with a focus on methodology for NFT project and development of an NFT collection. Firstly, the paper provides the definition of NFT and its relationship with blockchain technologies. The paper also offers a short analysis of existing NFT projects and domains of their applications. Proposed methodology describes in detail the steps in the development of the NFT project, mostly focusing on practical development of the collection. The technical aspects of the project are being explored, including 3D model making, collection generation, wallet creation, smart contracts and minting using current technologies and tools. Marketing strategy is also briefly analyzed, highlighting the role of creators on platforms for NFT trading. The most important contribution of the paper is the development of a methodological approach for creation of an NFT project