TY - JOUR AU - Kosztyán, Zsolt Tibor TI - Exploring network-level indicators for project analysis — A comparison of real and synthetic projects JF - JOURNAL OF COMPUTATIONAL SCIENCE J2 - J COMPUT SCI VL - 93 PY - 2026 SP - 102745 SN - 1877-7503 DO - 10.1016/j.jocs.2025.102745 UR - https://m2.mtmt.hu/api/publication/36461822 ID - 36461822 LA - English DB - MTMT ER - TY - JOUR AU - Kosztyán, Zsolt Tibor TI - Exploring the forecasting and temporal causality patterns of multilayer trade networks reflecting global economic changes JF - STRUCTURAL CHANGE AND ECONOMIC DYNAMICS J2 - STRUCT CHANGE ECON DYNAM VL - 76 PY - 2026 SP - 209 EP - 236 PG - 28 SN - 0954-349X DO - 10.1016/j.strueco.2025.12.003 UR - https://m2.mtmt.hu/api/publication/36510366 ID - 36510366 LA - English DB - MTMT ER - TY - JOUR AU - Saghir, Aamir AU - Katona, Attila Imre AU - Hegedűs, Csaba AU - Kosztyán, Zsolt Tibor TI - Analysis of the efficacy of the risk-based X ̄ control chart in statistical process control JF - RESULTS IN CONTROL AND OPTIMIZATION J2 - RESULT CONT OPTIM VL - 22 PY - 2026 SP - 100661 SN - 2666-7207 DO - 10.1016/j.rico.2026.100661 UR - https://m2.mtmt.hu/api/publication/36897853 ID - 36897853 LA - English DB - MTMT ER - TY - BOOK ED - Lengyel, Péter ED - Kosztyán, Zsolt Tibor ED - Füzesi, Isrtván TI - Absztraktkötet - XXI. OGIK Országos Gazdaságinformatikai Konferencia „Adatvezérelt döntéshozatal és MI az üzleti gyakorlatban” PB - Debreceni Egyetem Gazdaságtudományi Kar C1 - Debrecen PY - 2026 SN - 9789634907718 UR - https://m2.mtmt.hu/api/publication/36916031 ID - 36916031 LA - English DB - MTMT ER - TY - JOUR AU - Hosznyák, András AU - Csizmadia, Tibor AU - Kosztyán, Zsolt Tibor TI - Munkaerőpiaci átmenet és a lemorzsolódás kapcsolata a gazdaságinformatikus képzések esetében JF - GIKOF JOURNAL: A NEUMANN JÁNOS SZÁMÍTÓGÉP-TUDOMÁNYI TÁRSASÁG GAZDASÁGINFORMATIKAI KUTATÁSI ÉS OKTATÁSI FÓRUM SZAKMAI SZERVEZET SZAKFOLYÓIRATA J2 - GIKOF JOURNAL VL - 2025 PY - 2025 SP - 1 EP - 10 PG - 10 SN - 1588-9130 DO - 10.14267/GIKOF.2025.02 UR - https://m2.mtmt.hu/api/publication/35717366 ID - 35717366 AB - A hazai informatikai szektor munkaerőhiányát a hazai informatikai felsőoktatási kibocsátás jelenleg nem képest ellensúlyozni. A munkaerőpiaci szereplők emiatt nagyobb arányban foglalkoztatnak informatikai munkakörben nem informatikai képzési területen végzett hallgatókat, illetve reális lehetőség a még végzettséget nem szerzett hallgatók bevonása a munkavégzésbe. A hazai és nemzetközi kutatások eredményei viszont jól mutatják a képzés melletti munkavégzés negatív hatásait, illetve a hazai hallgatók magas arányú egzisztenciális okokból történő munkavégzését. Tanulmányunkban arra keressük a választ a felsőoktatásba 2014/15 tanévben belépő, korábbi felsőoktatási tanulmányokkal nem rendelkezőgazdaságinformatikus alapképzés hallgatóinak vizsgálatával, hogy a korábbi kvalitatív kutatások eredményeit mennyi támasztják alá a teljes hallgatói sokaság adminisztratív alapú képzési és kora munkaerőpiaci életpálya jellemzői. Valóban minden esetben növeli a lemorzsolódást a képzés alatti munkavégzés vagy azonosíthatók olyan hallgatói csoportok, ahol más okok a vezetnek alemorzsolódáshoz? LA - Hungarian DB - MTMT ER - TY - JOUR AU - Kosztyán, Zsolt Tibor AU - Hausz, Frigyes AU - Csizmadia, Tibor AU - Katona, Attila Imre AU - Szabó, István AU - Fehérvölgyi, Beáta TI - Concentration versus excellence: lessons learned of European R&D &I framework programs JF - SCIENTOMETRICS J2 - SCIENTOMETRICS VL - 2025 PY - 2025 SN - 0138-9130 DO - 10.1007/s11192-024-05220-y UR - https://m2.mtmt.hu/api/publication/35737316 ID - 35737316 AB - Framework programs (FPs) are the main research policy tools of the European Union (EU), attracting substantial attention from policy-makers and scholars. Therefore, an increasing number of studies have investigated the EU’s FPs from various angles; however, very few studies address the effect of the complex nature of the concentration of resources and their implementation. While several studies have examined the concentrations of collaboration structures, much less attention has been given to institutions, especially the concentrations that appear during implementation. Institutions that have been awarded several projects at the same time are forced to share their resources between the running projects, which can make the implementation of the projects riskier and thus jeopardize the project’s outcome. Therefore, the role of project management, which must allocate resources among complex implementation structures, such as multiprojects and programs, across portfolios, is appreciated. The aim of this study was to analyze the progression of the nature of concentration, such as institutional concentration in the four most recent framework programs (FPs), namely, FP5, FP6, FP7, and Horizon 2020 (H2020), and the structural and implementation concentrations in the last two framework programs. The study employed the CORDIS database, which encompasses both institutional and project-related information derived from four distinct framework programs. The findings indicated that the parameters of the collaboration network exhibited minimal changes; however, the concentrations of institutions experienced significant alterations. The concentration of complex project structures increased along with institutional concentration, which in turn led to greater efficiency and productivity and, in this way, excellence. Hence, it can be inferred that the output-increasing effect of the program structure is undermined in the deployment of other implementation structures by the need to share resources among several projects running in parallel. The strategy of using parallel projects involves inherent hazards because of the finite nature of resources, which consists primarily of human talent in the form of researchers. The results currently support policy-makers in three ways: (1) an improved understanding of how implementation structures evolve in EU-funded Framework Programs; (2) strengthened linkages among institutional concentration, productivity and excellence; and (3) insights into the design of the EU FP ecosystem. LA - English DB - MTMT ER - TY - JOUR AU - Sebrek, Szabolcs Szilárd AU - Romme, A. Georges L. AU - Kosztyán, Zsolt Tibor TI - How to create dynamic capabilities. a design science study TS - a design science study JF - TECHNOVATION J2 - TECHNOVATION VL - 143 PY - 2025 PG - 16 SN - 0166-4972 DO - 10.1016/j.technovation.2025.103204 UR - https://m2.mtmt.hu/api/publication/35863915 ID - 35863915 AB - Dynamic capability (DC) theories are widely used by innovation scholars, but there is little empirical work that applies these theories in ways that can be used by practitioners. Moreover, DC studies tend to suffer from tautological issues when measurements of DC overlap with those of firm performance. To fill this void, this paper explores how scholars can help companies in creating a dynamic capability. We adopt a design science approach in which scholars and practitioners team up to address and resolve a focal firm's (micro-DC) challenge in managing a large number of product development projects that run simultaneously but all depend on the same resource pool. To address this challenge, we design and implement a process technology tool. This study thus demonstrates how one can solve a real-life DC challenge by developing a practically relevant solution, based on design science. LA - English DB - MTMT ER - TY - CHAP AU - Sulyok, Márta Judit AU - Fogarassyné Vathy, Ágnes AU - Csizmadia, Tibor AU - Kosztyán, Zsolt Tibor AU - Katona, Attila Imre AU - Darida, Zsuzsa TI - Machine learning and tourism: Uncovering patterns in tourist behavior through machine learning methods T2 - Models and Applications of Tourists’ Travel Behavior PB - Elsevier SN - 9780443265938 PY - 2025 SP - 167 EP - 195 PG - 29 DO - 10.1016/B978-0-443-26593-8.00008-1 UR - https://m2.mtmt.hu/api/publication/36056385 ID - 36056385 LA - English DB - MTMT ER - TY - JOUR AU - Kosztyán, Zsolt Tibor AU - Kovács, Zoltán TI - Preface to the Special Issue on “Mathematical Methods and Operation Research in Logistics, Project Planning, and Scheduling, 2nd Edition” JF - MATHEMATICS J2 - MATHEMATICS-BASEL VL - 13 PY - 2025 IS - 11 SP - 1763 SN - 2227-7390 DO - 10.3390/math13111763 UR - https://m2.mtmt.hu/api/publication/36166319 ID - 36166319 AB - In the last decade, the Fourth Industrial Revolution (Industry 4 [...] LA - English DB - MTMT ER - TY - JOUR AU - Khan, Zahid AU - Saghir, Aamir AU - Katona, Attila Imre AU - Kosztyán, Zsolt Tibor TI - Optimizing P-Chart Performance Using a Percentage-Based Framework: Application to Nonconforming Items in the Manufacturing Sector JF - IEEE ACCESS J2 - IEEE ACCESS VL - 13 PY - 2025 SP - 91334 EP - 91346 PG - 13 SN - 2169-3536 DO - 10.1109/ACCESS.2025.3572624 UR - https://m2.mtmt.hu/api/publication/36166331 ID - 36166331 N1 - This work was supported by the Ministry of Culture and Innovation of Hungary, National Research, Development and Innovation Fund, through the 2021 Thematic Excellence Program Funding Scheme, under Grant TKP2021-NVA-10. AB - The control chart approach in industrial processes often faces significant challenges in accurately assessing the in-control (IC) and out-of-control (OC) performance of a process because of the limitations of conventional performance metrics. Traditional methods, such as the average run length (ARL)-based p-chart, may not effectively capture the complexities of run-length (RL) distributions, particularly in sectors with demanding performance standards. This study addresses these challenges by introducing a percentile-based (PB) p-chart approach, which guarantees specific IC and OC performance with predefined probabilities. The proposed approach overcomes the limitations of conventional methods, treating the ARL-based p-chart as a special case within the broader PB framework. By imposing constraints on the RL distribution, it is possible to guarantee predetermined probabilities for both IC and OC performance. This ensures that the IC run length ( RLIC ) exceeds the desired value, whereas the out-of-control run length ( RLOC ) remains below the desired threshold. The effectiveness of this p-chart scheme is shown through simulations and various numerical examples. The numerical results show that the p-chart based on the proposed scheme outperforms the existing methods and minimizes false alarms. To ease the computation of the optimization used in this design, software support of the proposed approach is provided for public use through a freely accessible R library pbcc. Finally, the implementation procedure of the proposed design is also demonstrated using two real-data examples. The numerical results show that the p-chart based on the proposed scheme outperforms existing methods, with a 150% improvement in the water bottle manufacturing process and a 45% improvement in the cardboard filling and packing process, while also minimizing false alarms. LA - English DB - MTMT ER -