RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
Not a member yet
2871 research outputs found
Sort by
Reinforcing Small-Scale Producers via Innovative Business Models: a Case of Natural Food and Drinks Products in Serbia
No full textModern e-business ecosystems imply a plethora of relations, processes, roles and technical solutions. This creates a lot of complexity to small businesses and force them to redefine business models. This paper portrays an ecommerce ecosystem that includes all the processes from field to the customers’ homes where web store plays the main role. The idea is to enhance small producer’s business employing digital channels, such as: web site, social networks, messaging apps, Google, email and others. The B2C web portal “Natural tastes (Ukusi prirode in Serbian)” implements aggregator model and enables listing of the products, buying, and promotion of the natural products from different small-scale producers. In addition, the portal provides several common services, such as: product rating, comments, social network sharing, chatbot, wish list, newsletter subscription, etc. The same corpus of products can be ordered via additional digital channels. Accordingly, the portal provides an offering that has uniform quality and price, even though it is offered by different partner providers. Further, the model tries to resolve the biggest issue small businesses have, not only in our region, but worldwide – delivery. After initial analysis, we came to conclusion that key problem they are dealing with is how to deliver the products to customers, considering the fact that they produce natural food and drinks. At the moment, due to not having time and money to do it on their own, small producers mainly uses delivery companies. However, this solution doesn’t take specifics of their products into account: sensitive packaging, temperature, fast delivery, the places were products have to be picked up, prices, etc. The situation with Covid-19 further fueled the need to improve this part of the business and made huge pressure on delivery service companies. We established particular delivery services for the products from web store. In addition, the model is flexible in the way that the producers can sell their products using their own channels, but can choose the products to be delivered via Natural tastes delivery service. Warehousing the products is another issue as well. As the majority of the clients are from big cities, while the production is far away in mountains or fields, storing products and whole process is extremely challenging. In this way the small producers can entirely focus on what they are best in – production, while the parts they are not familiar with by default, can be outsourced to the partner on digital channels. On the other hand the model establishes trust with consumers and provide easy access, cost-effectiveness, and time-saving services. Finally, we try to foster social responsibility and make a strong impact on the healthy food and life. Only fully natural and healthy products could be the part of the ecosystem
Rough sets based Ordinal Priority Approach to evaluate sustainable development goals (SDGs) for sustainable mining
No full textThe Sustainable Development Goals (SDGs) have been adopted by countries and companies, including mining companies around the world. The aim of this study is to investigate the degree of importance of the seventeen sustainable development goals (SDGs) on sustainable mining using a rough sets based decision making approach. This novel approach consists of three consecutive stages, namely a questionnaire (survey), data analyses, and SDGs classification. Firstly, a survey is conducted to receive a response from internationally experts across different countries. Each participant is asked to evaluate the importance of each SDG. Secondly, the analyses are carried out to make a distinction among groups of participants who respond similarly and discover viewpoints from the industry, academia, and non-governmental organizations. Finally, the degree of importance of each SDG for sustainable mining is found using a novel decision making approach including Ordinal Priority Approach (OPA) based on rough sets. The survey of the results indicated that for all the participants of the survey, independently of their background, the most important SDG for sustainable mining was "SDG8: Decent work and economic growth", while the one perceived as the least important was "SDG14: Life below water". The main objective of SDG8 is to promote economic growth through job opportunities and decent work for all. This in turn leads to a more sustainable, long-term economic growth. While all SDGs play an important role, the proposed rough sets based decision making method provided a rational and objective evaluation performance of their perceived priority in the mining sector
A Creative Statistical Model of Geometric Area Index Number for Adequate Estimation of ESG, DESG Goals Achievement, and Other Macroeconomic (Im)balances Dynamics
No full textThis paper can be considered as a brief answer to an old research question. Why do researchers need new statistical instruments based on geometric science? In the introduction, one can find some detailed significances, questions, premises, and hypotheses of the article's research redistributed in the logic of the section, as only a reminder can do it. There are no mandatory access conditions equivalent to "Let no one ignorant of geometry enter here" from the portal of Plato' s Academy during the literature review of index numbers (IN) or the index numbers method (INM). The originality of a geometric area index number (GAIN) and the simple description of a statistical instrument are the main characteristics of the next section, which is dedicated to its methodology and data. Therefore, this original statistical model of a classical index number is placed in a continuous changing of geometric coordinates and surfaces, caused by alternate states of disequilibrium and equilibrium in macroeconomic life or existence. Whenever the statistical index method has been considered a dead or obsolete solution, this false conclusion has been because it was conceived without its innovative history and multidimensional mathematical perspective. The complex structure of the article also required a section dedicated to practical approaches through macroeconomic indices systems. In the context of dynamic imbalances, this aspect limits the selective options of the new concept of a statistical model of a geometric area index to several inscribable but also regular polygons ("n-gons") at the same time. These polygons take on stellar shapes as soon as they capture real dynamics by ensuring a significant degree of coverage of simultaneous evolutions. In the pragmatic section of results and discussions, the new statistical model of the geometric area index is built essentially not only as a new type of statistical-mathematical approach to complex and associated or correlated aggregative variations but also from the idea of practically replacing concrete variants with their functions. The final remarks underline some instrumental specificities concerning both constructive advantages and disadvantages but especially to the limitations and perspectives, which are closely related to some symmetries and asymmetries characteristic of the investigated phenomena
Entropy and discrimination measures based q-rung orthopair fuzzy MULTIMOORA framework for selecting solid waste disposal method
No full textFastest growing population, rapid urbanization, and growth in the disciplines of science and technology cause continually development in the amount and diversity of solid waste. In modern world, evaluation of an appropriate solid waste disposal method (SWDM) can be referred as multi-criteria decision-making (MCDM) problem due to involvement of several conflicting quantitative and qualitative sustainability indicators. The imprecision and ambiguity are usually arisen in SWDM assessment problem, and the q-rung orthopair fuzzy set (q-ROFS) has been recognized as one of the adaptable and valuable ways to tackle the complex uncertain information arisen in realistic problems. In the context of q-ROFSS, entropy is a significant measure for depicting fuzziness and uncertain information of q-ROFS and the discrimination measure is generally used to quantify the distance between two q-ROFSS by evaluating the amount of their discrimination. Thus, the aim of this study is to propose a novel integrated framework based on multi-attribute multi-objective optimization with the ratio analysis (MULTIMOORA) method with q-rung orthopair fuzzy information (q-ROFI). In this approach, an integrated weighting process is presented by combining objective and subjective weights of criteria with q-ROFI. Inspired by the q-rung orthopair fuzzy entropy and discrimination measure, objective weights of criteria are estimated by entropy and discrimination measure-based model. Whereas, the subjective weights are derived based on aggregation operator and the score function under q-ROFS environment. In this respect, novel entropy and discrimination measure are proposed for q-ROFSS. Furthermore, to display the feasibility and usefulness of the introduced approach, a case study related to SWD method selection is presented under q-ROFS perspective. Finally, comparison and sensitivity investigation are presented to confirm the robustness and solidity of the introduced approach
Clinical and echocardiographic predictors of the anterior mitral leaflet repair failure
No full textBackground Anterior mitral leaflet prolapse repair is a highly effective procedure, but despite excellent operative results still has an inferior long-term durability when compared to posterior leaflet repair. Methods We analysed mitral repair durability in 74 consecutive patients operated for anterior leaflet prolapse between 2010 and 2021. Their pre- and postoperative clinical, echocardiographic data and repair durability as well, were compared with 74 randomly assigned posterior leaflet prolapse patients who underwent valve repair during the same period. Results While groups were of similar age, patients with anterior leaflet prolapse had an inferior preoperative status in terms of functional reserve, atrial fibrillation, operative risk, ejection fraction and had more dilated left heart chambers as well. 1, 5, and 10-year freedom from repair failure was 87.1 +/- 4.6%, 79.8 +/- 6.5% and 50.7 +/- 12.5% in the anterior, and 98.5 +/- 1.5% respectively in the posterior leaflet group. Atrial fibrilation (hazard ratio [HR] 5.365; 95%; confidence interval [CI] 1.093-26.324 p = .038) and left ventricle end-systolic diameter (HR 1.160 95%; CI 1.037-1.299 p = .010) independently predicted anterior leaflet repair failure. Receiver Operating Curve analysis established left ventricle end-systolic diameter LT = 42 mm as a cut-off value associated with improved anterior leaflet repair durability. Accordingly, 10-year repair durability in a subset of patients, with preserved left ventricle end-systolic diameter ( LT = 42 mm) was 86.4 +/- 7.8%. Conclusion Better long-term repair durability in patients with anterior mitral leaflet prolapse and preserved sinus rhytm and left-ventricle diameters justifies early reconstructive approach
Application of Hamacher Aggregation Operators in the Selection of the Cite for Pilot Health Project based on Complex T-spherical Fuzzy Information
No full textThe framework of complex T-spherical fuzzy set (CTSFS) deals with unclear and imprecise information with the help of membership degree (MD), abstinence degree (AD), nonmembership degree (NMD), and refusal degree (RD). Due to this characteristic, the CTSFSs can be applied to any phenomenon having the involvement of human opinions. This article aims to familiarize some Hamacher aggregation operators (HAOs) grounded on CTSFSs. To do so, we define some Hamacher operational laws in the environment of CTSFS by using Hamacher t-norm (HTNM) and Hamacher t-conorm (HTCNM). A few numbers of AOs are developed with the help of defined operational laws based on HTNM and HTCNM including the complex T-spherical fuzzy (CTSF), Hamacher weighted averaging (HWA) (CTSFHWA), CTSF Hamacher ordered weighted averaging (CTSFHOWA) operator, CTSF Hamacher hybrid weighted averaging (CTSFHHWA) operator, CTSF Hamacher weighted geometric (CTSFHWG) operator, CTSF Hamacher ordered weighted geometric (CTSFHOWG) operator, and CTSF Hamacher hybrid weighted geometric (CTSFHHWG) operator. Some interesting properties of developed HAOs are investigated and then these HAOs are applied to the multi-attribute decision making (MADM) problem. For the significance of these HAOs, the results obtained from these HAOs are compared with existing aggregation operators (AOs)
Spherical Fuzzy Information Aggregation Based on Aczel-Alsina Operations and Data Analysis for Supply Chain
No full textSpherical fuzzy sets (SFSs) are often made up of membership, nonmembership, and hesitancy grades, and also have the advantage of accurately representing decision makers (DMs) preferences. This article proposes novel spherical fuzzy aggregation operators (AOs) based on Aczel-Alsina (AA) operations, which offer a lot of advantages when tackling real-world situations. We begin by introducing some new SFS operations, such as the Aczel-Alsina product, the Aczel-Alsina sum, the Aczel-Alsina exponent, and the Aczel-Alsina scalar multiplication. We developed many AOs namely, the "spherical fuzzy Aczel-Alsina weighted averaging (SFAAWA) operator," "spherical fuzzy Aczel-Alsina ordered weighted averaging (SFAAOWA) operator," "spherical fuzzy Aczel-Alsina hybrid averaging (SFAAHA) operator," "spherical fuzzy Aczel-Alsina weighted geometric (SFAAWG) operator," "spherical fuzzy Aczel-Alsina ordered weighted geometric (SFAAOWG) operator," and "spherical fuzzy Aczel-Alsina hybrid geometric (SFAAHG) operator." Different attributes of these operators have been defined. The idempotency, boundary, monotonicity, and commutativity of suggested averaging and geometric operators are demonstrated. Then, based on these operators, we propose a novel approach for tackling the "multi-criteria decision-making" (MCDM) problems. We use a agriculture land selection scenario to demonstrate the efficacy of our proposed approach. The outcome confirms the new technique's applicability and viability. Furthermore, sensitivity analysis and a comparison analysis between the existing approaches and the recommended technique have been provided
ISO 9004 maturity model for quality in industry 4.0
No full textIt is believed that Industry 4.0., as an integration of business and technologies, can significantly improve companies' process performances and their innovation. However, most companies are not aware or not capable of assessing their Industry 4.0 maturity level. Since many considerations on Industry 4.0 successfulness include elements of the quality management system, ISO 9004:2018 guidance for achieving sustained success is considered in this paper as a possible basis for assessment of maturity level of quality in Industry 4.0, framed as Quality 4.0. The questionnaire with a sample size of 335 companies is used to explore the topic. Confirmatory factor analysis (CFA) and Structural equation modelling (SEM) were used to verify the ISO 9004:2018 model potential to be used for assessing Quality 4.0 maturity level. Results show that the Context of an organisation positively impacts the Identity of an organisation and Leadership. Therewithal, the Identity of an organisation is recognised to be a positive influencing predictor of Leadership that is proved to be a positive predictor of Process management and Resource management. Furthermore, Resource management is proved to have a positive impact on Performance analysis and evaluation as well on Improvement, learning and innovation construct. The findings indicate the model is usable in the context of Quality 4.0. Such a model could be utilised as a basis for developing a sustainable Quality 4.0 system roadmap
Remarks on Recent Results for Generalized F-Contractions
No full textIn this paper, we give some remarks on the recent papers on generalized F-contractions. Our results unify and generalize the previous results in the existing literature. Moreover, we give an example to support our results. As an application, we give the existence and uniqueness of a solution to a class of differential equations
Computationally semi-numerical technique for solving system of intuitionistic fuzzy differential equations with engineering applications
No full textSome complex problems in science and engineering are modeled using fuzzy differential equations. Many fuzzy differential equations cannot be solved by using exact techniques because of the complexity of the problems mentioned. We utilize analytical techniques to solve a system of fuzzy differential equations because they are simple to use and frequently result in closed-form solutions. The Generalized Modified Adomian Decomposition Method is developed in this article to compute the analytical solution to the linear system of intuitionistic triangular fuzzy initial value problems. The starting values in this case are thought of as intuitionistic triangular fuzzy numbers. Engineering examples, such as the Brine Tanks Problem, are used to demonstrate the proposed approach and show how the series solution converges to the exact solution in closed form or in series. The corresponding graphs at different levels of uncertainty show the example's numerical outcomes. The graphical representations further demonstrate the effectiveness and accuracy of the proposed method in comparison to Taylor's approaches and the classical Decomposition method