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An integrated decision support framework using single-valued neutrosophic-MASWIP-COPRAS for sustainability assessment of bioenergy production technologies
No full textAs a clean and renewable energy, bioenergy is one of the most prospective alternatives to fossil fuels. Therefore, it has been received much attention and occupied a considerable status in the world's energy consumption. Moreover, the sustainable bioenergy production can effectively decrease the risk of energy poverty and contribute to the economic and ecological benefits, particularly in developing countries. However, the selection of bioenergy production technologies (BPTs) has significant challenges and uncertainties due to various factors. Thus, the aim of this study is to evaluate the BPTs and choose the most suitable and sustainable alternative among them. For this purpose, an integrated decision-making framework is proposed under single-valued neutrosophic environment. In the present approach, the method based on the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) weighting integrated procedure (MASWIP) is introduced to compute the relative significances of the considered sustainability indicators. Then, the MASWIP-based complex proportional assessment (COPRAS) is introduced to prioritize the BPTs from single-valued neutrosophic perspective. Further, the present framework is implemented on a case study of BPTs evaluation problem with uncertain, inconsistent and indeterminate information, which approves the effectiveness and practicality of introduced method. To assess its robustness and stability, sensitivity and comparative studies are performed. The advantages of the developed method are emphasized in terms of stability and reliability by comparisons with five existing approaches, and the effectiveness of the present approach is verified. The findings of the study prove that the application of single-valued neutrosophic MASWIP-based COPRAS method in BPT selection is robust
What drives the performance of tax administrations? Evidence from selected european countries
No full textAn effective, efficient, fair, and trusted tax administration is a top priority for every country in the world; however, tax administration faces many issues, such as corruption, tax avoidance, or lack of flexibility. Some countries perform better in this process, and this paper aims to identify the main drivers of tax administration performance. We analyzed 35 European tax administrations by 12 performance dimensions in 2 consecutive years (2018-2019) and created a comprehensive performance measurement indicator using a data-driven neutral-aggregation approach. The findings indicate that (a) digitalization of tax administrations is the most influential driver of the overall tax administration performance, (b) Nordic countries and Switzerland can serve as role models for tax administration performance, an
A prototype of the crowdsensing system for pollution monitoring in a smart city based on data streaming
No full textThis paper proposes a prototype of the crowdsensing system for pollution monitoring in a smart city based on data streaming. The first part of the paper analyses concepts, characteristics, and platforms for data streaming. The Apache Kafka solution for data flow management is described. The paper proposes infrastructure for data streaming from the IoT crowdsensing sys-tems for monitoring pollution in smart cities. Crowdsensing services included in this system enable the monitoring of pollution parameters in smart cities. Collected pollution data in the smart city (traffic vibrations, noise, allergens, and air pollution) can be conducted using the Internet of Things (microcom-puters, microcontrollers, sensors, etc.) and mobile devices, sent to the Apache Kafka cluster using the MQTT protocol, and then data can be streamed via the web application to end users. Active parts in collecting pol-lution data have citizens. All collected data can be processed, analyzed, and streamed using the proposed data streaming infrastructure for smart city crowdsensing systems
IMPROVING HEALTHCARE INSTITUTIONS EFFICIENCY AFTER COVID-19 BY APPLICATION OF KEY PERFORMANCE INDICATORS: A CASE OF SERBIA
Get PDFThe purpose of this paper is to analyze the efficiency of healthcare services in healthcare institutions in the years before and after the pandemic COVID-19 by application of Key Performance Indicators (KPIs). The aim of this paper is to show the possibilities of improving the efficiency of healthcare services in healthcare institutions by applying KPIs. For the comparative analysis, 12 KPIs divided into six groups are defined, monitored, measured and compared, as a tool applied to the analysis of specific data of one of the largest healthcare institutions in the Republic of Serbia, Clinical Hospital Center “Dr Dragiša Mišović - Dedinje” in Belgrade, from six-month reports for the years before and after the pandemic COVID-19, i.e. 2019 and 2022. The results observed from the comparative analysis indicate that in the post-COVID year, at the institution level, 11 applied KPIs decreased in value, and only one KPI had an imperceptible value increase. The results of the conducted analysis can be applied to increase the efficiency of healthcare services in healthcare institutions. Recommendations for improving the efficiency of healthcare services are: Reduction of waiting lists for specialist examinations and operations created during the pandemic COVID-19; Online consultations by application of digital technologies; Coordination of activities, employees and all types of examinations; Alignment of available material and non-material resources and providing timely interventions; Capacity adjustment of the specialist examinations to the number of post-COVID patients; Additional training of employees, especially those who started working in the COVID regime
Bekeri - lični brending ili materijalna korist?
No full text Grupno finansiranje (engl.crowdfunding), kao poseban segment ekonomije deljenja, relativno je mlad fenomen. Pažnju istraživača posebno privlači ispitivanje toga koji faktori motivišu bekere da, putem određene digitalne platforme, stave na raspolaganje novčana
sredstva onima kojima su ta sredstva potrebna kako bi se finansirao određeni projekat. Cilj rada je analiza i testiranje razlika između dve široko definisane grupe motiva: motiv za kreiranjem ličnog brendinga i motiv za ostvarivanjem materijalnih koristi, i to na nivou celog uzorka, kao i na nivou užih kategorija definisanih na nivou različitih socio-ekonomskih grupa ispitanika. Za potrebe ostvarenja tog cilja sprovedeno je anketno ispitivanje. Rezultati sprovedene analize ukazuju da, na nivou celog uzorka i većeg broja užih kategorija, postoji statistički značajna razlika u motivima za učešće u grupnom finansiranju, u smislu da su (potencijalni) bekeri dominantno motivisani ostvarivanjem određenog oblika materijalne koristi u poređenju sa izgradnjom ličnog brendinga
Савремено ропство у ланцима снабдевања
No full textThis paper aims to emphasize that the lack of transparency and process monitoring in global supply chains can contribute to the possibility of the appearance of contemporary forms of labor slavery within them. Under conditions of contemporary slavery, workers are subjected to forced labor, inhumane and inadequate working conditions, restricted freedom of movement, and insufficient compensation for their labor. The purpose of this paper is to highlight that contemporary slavery in supply chains represents a significant social issue related to the violation of fundamental human rights in the global economy, with multidimensional negative consequences. The methodological approach used encompasses the collection, selection, and analysis of available literature that pertains to the research topic. The achieved result and originality of the paper are evident in approaches to addressing or mitigating this problem through the use of blockchain technology, biomarkers, and B Corp certification. In doing so, particular attention is paid to the issue of contemporary slavery in chocolate supply chains
MODELOVANJE STOPE KORIŠĆENJA DELJENOG SMEŠTAJA PRIMENOM EKONOMETRIJSKIH METODA
No full textEkonomija deljenja predstavlja savremeni poslovni model koji omogućava pojedincima da korišćenjem online platformi iznajme određeni proizvod ili uslugu na određeno vreme, pod određenim uslovima i uz odgovarajuću cenu. Jedan od oblika ekonomije deljenja koji privlači pažnju kako javnosti, tako i donosilaca odluka je deljeni smeštaj. Studija slučaja sprovedena u ovom radu ima za cilj da ispita kako ekonomski, socijalni i bihejvioralni faktori utiču na stopu korišćenja deljenog smeštaja u različitim državama koristeći ekonometrijsko modelovanje. Studija je urađena na nivou Evrope na osnovu podataka iz 2019. godine. Rezultati pokazuju da na stopu korišćenja deljenog smeštaja statistički značajno utiče bruto domaći proizvod po glavi stanovnika, kao i učešće u online kupovini. Zaključak koji proističe je da u zemljama u kojima je stanovništvo naviklo da kupuje putem online platformi i ima veća primanja, u većoj meri učestvuje u konceptu deljenog smeštaja.Sharing economy is a contemporary business model that allows individuals to rent a certain product or service for a predefined period of time, under certain conditions and at an appropriate price via online platforms. One of the forms of sharing economy that is attracting the attention of both the public and decision makers is shared accommodation. The case study conducted in this paper examines how economic, social and behavioural factors influence the rate of shared accommodation usage in different countries using econometric modelling. The study was conducted at the European level based on data from 2019. The results show that the rate of use of shared accommodation is significantly influenced by gross domestic product per capita, as well as participation in online shopping. It can be concluded that in countries in which the population is used to buying through online platforms and has higher income is more prone to participating in the shared accommodation concept
Medijska pismenost i stavovi potrošača o medijskim formatima u marketinškoj komunikaciji
No full textFull Fuzzy Fractional Programming Based on the Extension Principle
No full textWe address the full fuzzy linear fractional programming problem with LR fuzzy numbers. Our goal is to revitalize a strict use of extension principle by employing it in all stages of our solution approach, thus deriving results that fully comply to it. Using the a-cuts of the coefficients we present the linear optimization models that empirically derive the a-cuts of the optimal objective fuzzy value, and discuss the optimization models able to derive the exact endpoints of the optimal objective values intervals. For initial maximization (minimization) problems the main issue is related to how to solve two stage min-max (max-min) problems to obtain the left (right) most endpoints. Our goals are as it follows: to obtain exact solutions to small-size problems; to obtain relevant information about solutions to large-scale problems that are in accordance to the extension principle; and to provide a procedure able to measure to which extent the solutions obtained by an approach to full fuzzy linear fractional programming comply to the extension principle. We illustrate the theoretical findings reporting numerical results, and including a relevant comparison to the results from the literature
Using Ethereum Smart Contracts for Payment Transactions
No full textBlockchain as a technology is being more and more common, both in software development industry and in many spheres of business, such as law, finance and many others. The use of blockchain technology provides many advantages in terms of decentralization, information security and concealment. Ethereum, which provides the possibility of using smart contracts, stands out as one of the most frequently used blockchain platforms. The use of smart contracts provides a more efficient alternative to traditional way of the key aspects of business, such as making payments, traditional payment being the one executed in e-payment system, or specifically EMV payment systems. The use of smart contracts in the execution on the Ethereum platform is researched in this paper. The paper showcases overview of blockchain tecnology and an example of a smart contract written in the Solidity programming language, over which the examination was performed and the main aspects were explained. Main vulnerabilities of Solidity programming language are given. Finally, in the conclusion, comparison, or rather the advantages of payment systems based on blockchain over the traditional electronic payment systems are also considered