RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
Not a member yet
2871 research outputs found
Sort by
Development of the visual identity of a higher education institution’s podcast
No full textPodcasti su vremenom postali veoma popularni u oblasti obrazovanja. Pružaju informacije i znanja koja su korisnicima neophodna, u pristupačnom i veoma atraktivnom obliku. Dizajn igra ključnu ulogu u tome da taj pristup učenju učini još zanimljivijim, da privuče što više novih korisnika i stvori prepoznatljiv brend, istakne ga od konkurenata. Stoga, tema ovog rada predstavlja razvoj vizuelnog identiteta podkasta visokoškolske obrazovne ustanove. Cilj ovog rada je da prikaže jedinstven, inovativan i efektan dizajn koji će zainteresovati pre svega studente, a kasnije i širu publiku da steknu nova znanja i već postojeća upotpune. Glavni alat za razvoj vizuelnog identiteta je Figma. Krajnji rezultati rada su vizuelni identitet podkasta, veb sajt i promotivni materijal za društvene mreže, kao i smernice za održavanje doslednosti vizuelnog identiteta tokom vremena.Podcasts have become increasingly popular in the field of education over time. They provide information and knowledge that users need in an accessible and highly engaging format. Design plays a crucial role in making this learning approach even more interesting, attracting new users, and establishing a distinctive brand that sets it apart from competitors. Therefore, the topic of this paper revolves around the development of the visual identity for a higher education institution's podcast. The aim of this paper is to create a unique, innovative, and impactful design that primarily appeals to students and later a broader audience, helping them acquire new knowledge and complement existing expertise. The primary tool for developing the visual identity is Figma. The ultimate outcomes of this work include the podcast's visual identity, a website, promotional materials for social media, and guidelines for maintaining visual identity consistency over time
Digital Banking Services from Customer Perspective
No full textProcess of digital transformation affects and changes industries considerably, with the financial services industry as well. Digitalization and fintech introduce many innovative products and services for the bank's customers. Focus in this paper is on customers' perspectives of digital banking services in Serbia. The aim of the paper was to discover incentives for the digital banking products and services use. Authors have created a research model and set four factors that mostly represent incentives for the use of digital banking products and services. Online empirical survey has been conducted with 522 respondents. Research results show that time saving, flexibility in time and place, and user-friendly application represent the most significant reasons for the digital banking products and services use. Costs connected with the use of digital banking services have lower influence, as incentive, then three factors aforementioned. Generally, consumers' satisfaction with digital banking services in Serbia is on a high level. The results of this study could be used by banks to further develop their digital banking product and services and improve customer experience or could be beneficial for the institutions that intend to enter the digital financial services industry. Future research should be focused on factors that have an important influence on consumers' satisfaction with digital banking services
A Methodological Approach for the Promotion of a New Fashion Brand Based on a Digital Marketing Strategy
No full textThe main aim of this research is the development of a methodological approach for the promotion of a new fashion brand based on a digital marketing strategy. This method should enable easier creation of the recognition of new fashion brands in the digital market, reach the target audience, connect with stakeholders using omnichannel communication, and gain competitive advantages. The proposed methodological approach expects as a result simpler process of introducing a new fashion brand to the digital market. According to the developed methodological approach, a pilot project was conducted. The pilot project included identifying target audience preferences for introducing a new fashion brand to the digital market and the implementation of the Internet marketing plan. Analyzing the effects of online appearances and the application of digital marketing should provide a starting point for the improvement of customer and stakeholder relationship management, fashion brand development, and defining future promotional strategies. The method can be adapted and applied in the introduction and promotion of any fashion brand
When Fairness Meets Consistency in AHP Pairwise Comparisons
No full textWe propose introducing fairness constraints to one of the most famous multi-criteria decision-making methods, the analytic hierarchy process (AHP). We offer a solution that guarantees consistency while respecting legally binding fairness constraints in AHP pairwise comparison matrices. Through a synthetic experiment, we generate the comparison matrices of different sizes and ranges/levels of the initial parameters (i.e., consistency ratio and disparate impact). We optimize disparate impact for various combinations of these initial parameters and observed matrix sizes while respecting an acceptable level of consistency and minimizing deviations of pairwise comparison matrices (or their upper triangles) before and after the optimization. We use a metaheuristic genetic algorithm to set the dually motivating problem and operate a discrete optimization procedure (in connection with Saaty's 9-point scale). The results confirm the initial hypothesis (with 99.5% validity concerning 2800 optimization runs) that achieving fair ranking while respecting consistency in AHP pairwise comparison matrices (when comparing alternatives regarding given criterium) is possible, thus meeting two challenging goals simultaneously. This research contributes to the initiatives directed toward unbiased decision-making, either automated or algorithm-assisted (which is the case covered by this research)
A fair classifier chain for multi-label bank marketing strategy classification
No full textRecently, the usage of machine learning algorithms is subject to discussion from a legal and ethical point of view. Unwanted discrimination regarding gender or race of a prediction model can lead to legal consequences. Therefore, during predictive model learning, one needs to be aware of possible bias and adjust the model to be fair. However, in bank marketing applications, one customer can receive multiple offers instead of just one. Because of their correlation between, a multi-label classification approach is the most suitable one. This paper proposes a fair classifier chain machine learning model for multi-label classification. Our algorithm solves the multi-label classification problem in an efficient manner, and it is suitable for real-life application employment. The proposed approach allows for controlling fairness constraints during the process of machine learning. It is based on the logistic regression model, thus enabling high efficiency and understandability. We apply our model to a real-life model from bank marketing campaign response prediction. The obtained results are promising. More specifically, our model achieves high fairness measures having an increase from 7% to 17%. However, fairness has a price of a decrease in predictive performance, up to 9% of AUC. To the best of our knowledge, this is the first algorithm that introduce fairness constraints in multi-label classification problems
A decision support tool for oil spill response strategy selection: application of LBWA and Z MABAC methods
No full textThe high global demand for oil and its derivatives has increased the risk of oil spills associated with the extraction, processing, and transportation of this product. Oil spill emergency management considers that decision-making is a very complex and multi-criteria problem that must be taken into account, given that the effects of these spills include several aspects, the most important of which are the environmental and economic impacts. Oil spill response management decisions are aimed at minimizing these impacts. To solve such a complex problem, this paper is devoted to propose a new multi-criteria model using LBWA-Z MABAC methods. In the first step, the model uses the LBWA method to calculate the criteria weights coefficients. In the second step, the modified MABAC method with Z-numbers was used to select the best contingency strategy to deal with oil spill risks. The calculations were performed on the El Sharara field, which is the second largest oil producing field in Libya. In the case study, six criteria and nine strategies were used, which were selected by a group of experts. The results showed that the type and volume of the oil spill is the most important criterion for selecting the appropriate strategy, and that the best strategy for managing the oil spill in the case study is drain blocking. In order to check the model, a sensitivity analysis was performed by analyzing the effect of changes in the values of the weighting coefficients on the ranking results, as well as by studying the effect of changing the p, q factors. The results obtained were also compared with the fuzzy method and the Z numbers
Telework Perceptions and Factors: What to Expect After the Covid-19
No full textThis chapter analyses factors and perceptions of telework, a term used for all practices of remote work, distant working, telecommuting and working from home. Our focus is on the influence of ownership, industry and support given by the organisation to the employee. Data for this study was gathered during the year of 2021st. We have analysed data from 166 employees after roughly 15% of responses were eliminated by the control question. More than 50% of participants were mostly teleworking, around 25% mainly were working from the office, and the rest had a relatively equal combination of those two work approaches. We have found the difference between state-owned and privately-owned organisations in the perception of "telework benefits" and between different industries for the perception of "telework problems", and both variables show different perceptions in groups with different educational support. We propose a model of the telework aversion with the factors of leaving home preference, telework anxiousness, and provided education and support by the organisation for the telework. The main limitation of our research comes from the sample size and structure. While all the model's factors are significant, our model's predictive power is very low, which calls for future research. Expanding regional scope and analysis on larger sample sizes can provide comparison and a basis for more advanced models predicting telework aversion
Extension of MEREC-CRADIS methods with double normalization-case study selection of electric cars
No full textClimate changes and the number of people in the world are increasingly affecting the environment. In order to reduce this impact, there are more and more alternatives to cars with internal combustion. Currently, the most used alternative is electric cars. This research aimed to rank electric cars according to their characteristics. It was selected 13 criteria according to which 20 alternatives were ranked. For this purpose, it was used two methods, DNMEREC (Double normalization Method based on the Removal Effects of Criteria) used to determine criterion weights objectively and DNCRADIS (Double normalization Compromise Ranking of Alternatives from Distance to Ideal Solution) method used to rank alternatives. Here, classical methods for multi-criteria decision-making (MCDM) are extended to contribute to a more stable ranking of alternatives. Unlike similar approaches, the same normalization has been used here, but in two ways, which represents an innovative approach in MCDM. The results of this approach have shown that the best-ranked alternative is A6 (Sono Sion), while the worst-ranked alternative is A2 (Smart EQ forfour). These results were confirmed with a comparative analysis of the results obtained using other MCDM methods and sensitivity analysis. The validation of the results and the application of the Spearman correlation coefficient have shown that the ranking of the alternatives is uniform and more stable when double normalization is applied than when classical methods with their normalization are used. In addition, this decision-making provides support to potential buyers for choosing electric cars
UPRAVLJAČKI MODEL ZA IZRAČUNAVANJE CENE KOŠTANJA PROIZVODA ZASNOVAN NA METODI OBRAČUNA TROŠKOVA PO AKTIVNOSTIMA UTVRĐENIM U VREMENU
No full textU ovom radu su prikazane mogućnosti koje
upravljački spredšit modeli pružaju u primeni metoda
obračuna troškova. Ideja je da se malim i srednjim
preduzećima, koja koriste jednostavne knjigovodstvene
programe, pruži alat koji će im u par klikova dati
mogućnosti preciznog izračunavanja cene koštanja
proizvoda i kontrole troškova, koje trenutno po pravilu
imaju samo velike kompanije sa „glomaznim“ ERP
sistemimahttp://www.yuinfo.org/YUinfo2023_finalni.pd
Entrepreneurial Orientation of Family Farms in the Republic of Serbia – Analysis and Detection of Directions for Support
No full textFamily farms in the Republic of Serbia are mostly small agricultural producers with arable land of small and medium size and with a low degree of process mechanization, where family members work mostly, and farm management is assigned to one family member. Such farms are often in a subordinate position, with weak bargaining power compared to large agricultural producers and large enterprises engaged in agricultural production. Nevertheless, the chance of further development of such farms lies in their positive entrepreneurial orientation and readiness for innovation and change. This paper presents research on the entrepreneurial orientation of family farms in the Republic of Serbia. The survey sample consisted of 72 farms from different locations in the Republic of Serbia. Entrepreneurial orientation was observed through the following elements: readiness of farms to join efforts, participation in large supply chains, readiness to standardize products and processes, readiness to export, readiness for changes and delegation of management processes, as well as readiness for farm development by improving knowledge about agriculture, management, and entrepreneurship. The results presented in the paper provide a clear insight to the support creators about the potential for improving the position of small farms in the Republic of Serbia