RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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Digital Learning Management Systems In Nonformal Education
No full textThis paper was written as a literature review of the contemporary teaching practice in nonformal education with the future opportunities of using Blockchain technologies. The paper focuses on nonformal second language education in virtual environment using Learning Management System, specifically in Korean language acquisition. This paper contributes to the field of modern education by demonstrating how LMS platforms like Moodle can effectively support language learning. At the end of the paper, the authors conducted a test in Moodle LMS course environment and later provided the participants with a survey. In the
survey, most of the participants were for the implementation of modern technologies into the language learning practice, which could serve as a guideline to other language professors teaching in modern method
The Role Of Digital Twins In Vertical E-Business Applications
No full textThis paper presents a review of digital twins (DT) application in e-business, with a focus on vertical applications in healthcare, agriculture, and smart cities. Digital twins serve as advanced digital replicas that enhance decision-making and operational efficiencies. The main value of this review is identification of different
DT application in e-business, gaps in current research and potential research directions, highlighting the importance of DTs in transforming e-business practices across various domains. In healthcare, they provide realistic simulations for medical training and optimize hospital operations. Agriculture benefits from DTs through enhanced modeling and simulation of complex biological systems, driving the digitization and sustainable practices in the sector. Smart cities utilize DTs for urban planning and infrastructure management, leveraging large-scale data and cloud computing. Despite the promising advancements, gaps exist such as the integration of human factors in healthcare, the comprehensive adoption in agriculture, and the interdisciplinary approach needed in smart cities
Discovery of key factors in hedge funds investment strategies using optimal IBA-based logical polynomials
No full textFor an increasing number of forecasting models based on
computational intelligence, one of the most prioritized requests refers to the
model's transparency, explainability and reproducibility. With the constant
emergence of more complex investment instruments and strategies, challenges
in financial time series forecasting are being amplified. Feature selection and
aggregation are typical examples of such challenges. This paper examines the
interpolative Boolean algebra (IBA) approach for discovery of optimal logical
aggregation (LA) of key factors in Hedge Funds’ (HF) investment strategies.
IBA polynomials that serve as logical aggregation functions, are obtained as a
product of a structure vector (SV) and corresponding atomic elements. To
obtain optimal aggregation function for analyzed time series, structure vectors
are optimized by iterating over all combinations of elements. The proposed
approach is applied to four major groups (factors) of candidate inputs, first
separately and then jointly, on five distinctive HFs’ time series. The evaluation
and robustness check are examined using standard multivariable linear
regression and more complex, extreme gradient boosting algorithms. Lastly,
feature aggregation using optimal IBA logical functions are benchmarked
against original, non-restricted inputs. Test error analysis has demonstrated that
IBA-based feature aggregation reduces errors, for most of the analyzed time
series, when compared to the original feature set
PORTER’S DIGITAL VALUE CHAIN: A STRATEGIC ROADMAP FOR DIGITAL TRANSFORMATION
No full textDigital transformation is rapidly becoming a fundamental aspect for the growth and management of
businesses across various sizes and sectors, offering numerous advantages. However, statistics indicate a
high failure rate among these initiatives. In response to this challenge, this study conducted an extensive
literature review and developed Porter’s Digital Maturity Model based on Porter’s Digital Value Chain. This
model includes seven dimensions and six levels of digital maturity and was validated through interviews with
experts across different industrial sectors. The model is detailed, comprehensive, suitable for various
companies and industrial sectors, and adapts to different development stages across various company
departments and matches the company's strategic goals. This model enables companies to accurately assess
their digital maturity level, understand the digital landscape and contemporary requirements, and successfully
execute digital transformation. It also enriches the available literature on digital transformation and digital
maturity models
Managing Costs of Renewable Energy Companies for Sustainable Business
No full textAnalyzing the costs of renewable energy companies proved to be of high importance for the business sustainability and a long term economic feasibility. The paper gives an insight of relevant cost management methodologies with aspects of the future investment potential within this subfield of energy economics. Having in mind that fossil fuels have still a substantial impact on global warming potential of the energy sector, modern approach to cost analysis of renewable energy deployment is necessary. Several methodologies are emphasized, with special reference to changes in total costs for these companies. Methods that include intangible costs and specific market conditions are used, as it is noticed that these are often empirically neglected. The paper investigates how the control of costs and dynamics of the cost as main categories are significant for overall business sustainability. Results indicate that managing costs of renewable energy companies is a challenging process. However, if there is an appropriate method applied, results show that cost management is one of the most essential tools for a sustainable development of renewable energy companies
Determinants of Young Adult Consumers' Environmentally and Socially Responsible Apparel Consumption
No full textSocial and environmental responsibility of apparel sector has been drawing rising attention of policymakers and researchers in recent years. One possible solution to curb the detrimental effects caused by the clothing industry is to invoke more responsible demand of its heavy users, such as young clothing customers. This study aims to examine a model of the determinants of environmentally and socially responsible clothing consumption of young adult customers in a developing economy. The study has been performed on a convenience sample of 439 respondents in Serbia, by means of structured online survey. Exploratory factor analysis (EFA), followed by two-step structural equation modeling procedure (SEM)-implying an examination of a measurement model, followed by testing of structural relationships-has been performed within data analysis. Results of the study indicate green consumption values as the most influential determinant of responsible apparel consumption, followed by conscious consumption and receptivity to green communication. Findings of the study contribute to the body of knowledge on responsible consumption and provide directions for practitioners and policymakers. Study limitations are noted and future research directions are provided
Non-fundamental trunc-simplex tilings and their optimal hyperball packings and coverings in hyperbolic space I. For families F1-F4
No full textSupergroups of some hyperbolic space groups are classified as a continuation of our former works. Fundamental domains will be integer parts of truncated tetrahedra belonging to families F1 -F4, for a while, by the notation of E. Molna ' r et al. in 2006. Our paper relies basically on this work. As an application, optimal congruent hyperball packings and coverings to the truncation base planes with their very good densities are computed. This covering density is better than the conjecture of L. Fejes To ' th for balls and horoballs in 1964
An extended MARCOS method for MCGDM under 2-tuple linguistic q-rung picture fuzzy environment
No full textThe current study is mainly devoted to explore and extend the measurement and ranking of alternatives according to the compromise solution under the background of 2-tuple linguistic q-rung picture fuzzy sets. The capability of q-rung picture fuzzy sets to accommodate a broad range of information, and the salient features of 2-tuple linguistic term sets to manage qualitative data motivate us to present the notion of 2-tuple linguistic q-rung picture fuzzy set. The linguistic terms are very useful to deal with the situations where the data providing the assessment of attributes are not easily quantified. This paper proposes and utilizes the Dombi operations to develop certain aggregation operators: 2-tuple linguistic q-rung picture fuzzy Dombi weighted averaging operator and 2-tuple linguistic q-rung picture fuzzy Dombi weighted geometric operator. The presented methodology utilizes the aforementioned operators to handle and aggregate data in decision-making problems. Furthermore, an example to select the best option among the collection of considered projects is handled through the proposed method to substantiate the extended approach. Ultimately, the validation of the developed technique is conducted through a comparative analysis
COVID-19 and Behavioral Factors of e-Payment Use: Evidence from Serbia
No full textBanknotes and coins are some of the most frequently traded items in the world. Their current use, however, is unsustainable, and many countries are trying to digitalize their payment systems. The recent pandemic has accelerated this transition. Building on the Theory of Unintended Consequences, the aim of this article is to examine the influence of some pandemic-specific factors (in specific, hand sanitization, conspiracy theory mentality, and financial acumen) on the current and prospective use of e-payment. A particular aim of the study is to analyze these relationships in Serbia (as an example of a cash-centric society). The study is based on primary data gathered via a questionnaire. The questionnaire was designed for the purpose of this study. In total, the study examined N = 474 examinees. The results of this study confirm that the pandemic-induced variables are statistically significant predictors of e-payment use. In particular, hand sanitization, conspiracy mentality (reversely), and financial acumen positively affect current and prospective e-payment use
Digital Transformation of Commercial Banks in Serbia During COVID-19 Pandemic
No full textThe importance of digital transformation for banks has been recently stressed by many researchers. However, banks are perceived as traditional market players that are relied on robust infrastructure and rigid internal procedures. Apart from market competition imposed by innovative market players, the COVID-19 pandemic revealed to be strong external driver for digitalization in financial industry. The objective of this study is to examine how COVID-19 pandemic is influencing digitalization of Serbian banking industry. The research methodology is based on management tool of Canvas Business Model. The results show that communication channels were the most affected and evolved from traditional such as branches to digital communication channels such as websites, social networks, and online applications. Employees and IT infrastructure turn to be the most important resources while COVID-19 had no significant influence on key business activities, customer segmentation, cost structure and revenue stream. Finally, we elaborate research limitations and use research results to formulate potential directions for future research