PLAN RADA SEMINARA ZA MART 2022. GODINE
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Registracija za on-line praćenje predavanja na Seminaru je na linku https://miteam.mi.sanu.ac.rs/asset/xzGqvSp7aWbg8WpYX.
Utorak, 01.03.2022. u 14:15, Online
Lazar Živojinović, Fakultet organizacionih nauka
INSTAGRAM AS A COLLABORATIVE E-LEARNING TOOL IN HIGHER EDUCATION
The aim of this research is to examine the possibility of using the social network Instagram as a support in the process of collaborative e-learning in higher education. We present the methodological approach of designing and conducting collaborative e-learning activities on Instagram. Collaborative e-learning activities are organized in the form of challenges and quizzes, with the aim of encouraging creativity and motivation of students to learn, as well as collaboration through mutual interaction in assessing responses to challenges. The evaluation was organized with undergraduate students at the Faculty of Organizational Sciences who attended the course E-business. The collected data was analyzed using the methods and tools for social network analysis. The results show students' positive attitudes towards learning on social media, and readiness to use Instagram as a tool for collaborative e-learning. In addition, the results show that social network analysis can provide teachers with useful information about the students’ interactions and group dynamics.
Utorak, 08.03.2022. u 14:15, Online
Nebojša Gvozdenović, Dejan Brcanov, The faculty of Economics Subotica
WHICH COMES FIRST, DELIVERY OR SALES?
We deal with a synchronized tactical planning of sales territories and corresponding delivery routes for 3PL /4PL providers. Such a planning is challenging in FMCG markets where Traditional Trade is still strong compared to Key Accounts. In such markets, 3PL /4PL providers have exclusive distribution agreements with several brands. As the rule of thumb, each brend insists on a salesforce that sells only its products. On the other hand, the delivery of products from different brands can be consolidated. The brands are compatible if such consolidation is possible. The lists of the shops of two compatible brands usually overlap to a great extent. The planner of sales territories for a single brand usually has complete freedom to organize territories for his/her salesforce. A single salesperson thus gets a territory that is often split into sub territories, where each sub territory can be handled during a single working day. Goods that are sold during a working day are either delivered during one or two working days. All sub territories of the salesforce related to a particular brand and assigned to a particular day can be identified with the daily list of shops in them. Based on the daily lists of shops from all its brands, 3PL/4PL provider plans its delivery routes. Since the planning of sales for different brands is not synchronized, it results in more visits and consequently in more kilometers and more vehicles engaged. We propose a model for the synchronized planning for compatible brands and present first computational results.
Utorak, 15.03.2022. u 14:15, Online
Mirjana Stojanović, Fakultet organizacionih nauka
A READINESS ASSESSMENT FRAMEWORK FOR THE ADOPTION OF 5G BASED SMART-LIVING SERVICES
The subject of this research is to analyze the users’ attitude towards new, 5G-enabled smart living services before their commercial launch. The goal is to offer a framework for the analysis and evaluation of influential factors in the early adoption of 5G residential services. Additionally, the paper examines how mobile operators can leverage their existing infrastructure and services to boost the acceptance of both 5G as a technology and the provided smart-living services. To ascertain the potential impact that mobile operators can have on the adoption of such services, loyalty programs were taken into account as a separate factor in the acceptance study. The study was conducted in Serbia in the form of a survey. The analysis of the results yielded some notable conclusions such as trust in technology playing the leading role in influencing the behavior intention, while loyalty programs showed that they can influence attitudes towards individual smart living services. The presented results can be used to shape any future implementation of 5G-based services in Serbia, or any other country whose 5G infrastructure and services for the residential customer segment are yet to be established.
Utorak, 22.03.2022. u 14:15, Online
Slobodan Jelić, Josip Juraj Strossmayer University of Osijek
GENERAL VARIABLE NEIGHBORHOOD SEARCH APPROACH TO GROUP STEINER TREE PROBLEM
In this paper, we consider the Group Steiner Tree (GST) problem that can be stated as follows: For a given non-negative edge weighted graph $G = (V, E)$, an integer $k$, and the corresponding family $g_1, \ldots, g_k$ containing non-empty subsets of $V$ called groups, we need to find a minimum cost tree $T = (V_T, E_T)$ where $V_T \subseteq V$ and $E_T\subseteq E$ that spans at least one vertex from each of the groups. Numerous applications of this NP-hard problem initiated researchers to study it from both theoretical and algorithmic aspects. One of the challenges is to provide a good heuristic solution within the reasonable amount of CPU time. We propose the application of metaheuristic framework based on Variable Neighborhood Search (VNS) and related approaches. One of our main objectives is to find a neighborhood structure that ensures efficient implementation. We develop Variable Neighborhood Descend (VND) algorithm that is the main ingredient of several local search approaches. Experimental evaluation involves comparison of our heuristics to exact approaches based on Integer Linear Programming solvers and other metaheuristic approaches such as genetic algorithm. The obtained results show that the proposed method always outperforms genetic algorithm. Exact method is outperformed in the case of instances with large number of groups.
This is joint work with Luka Matijević and Tatjana Davidović.
Utorak, 29.03.2022. u 14:15, Online
Aleksandra Labus, Fakultet organizacionih nauka
SOCIAL RECRUITING: AN APPLICATION OF SOCIAL NETWORK ANALYSIS FOR PRESELECTION OF CANDIDATES
The research aims to study social recruiting for finding suitable candidates on social networks. The main goal is to develop a methodological approach that would enable preselection of candidates using social network analysis. The research focus is on the automated collection of data using the web scraping method. Based on the information collected from the users’ profiles, three clusters of skills and interests are created: technical, empirical and education-based. The identified clusters enable the recruiter to effectively search for suitable candidates. Results show that it is possible to contribute to candidate preselection in the recruiting process by identifying key categories of skills and interests of candidates. The presented method could be applied on different social networks, such as LinkedIn, GitHub, AngelList, etc.
RUKOVODIOCI SEMINARA
MI SANU
Vera Kovačević-Vujčić
Milan Dražić
FON
Zorica Bogdanovic
Marijana Despotovic-Zrakic
IEEE
Bozidar Radenkovic
