TY - DATA AU - Kurbucz, Marcell Tamás AU - Katona, Attila Imre TI - Distance Calculator for the Different Levels of European NUTS Regions PY - 2024 DO - 10.17632/hvjzvpfgbp UR - https://m2.mtmt.hu/api/publication/34761967 ID - 34761967 N1 - Mendeley Data LA - English DB - MTMT ER - TY - JOUR AU - Kosztyán, Zsolt Tibor AU - Katona, Attila Imre AU - Kurbucz, Marcell Tamás AU - Lantos, Zoltán TI - Generalized network-based dimensionality analysis JF - EXPERT SYSTEMS WITH APPLICATIONS J2 - EXPERT SYST APPL VL - 238 PY - 2024 IS - Part A PG - 22 SN - 0957-4174 DO - 10.1016/j.eswa.2023.121779 UR - https://m2.mtmt.hu/api/publication/34158233 ID - 34158233 N1 - Export Date: 07 March 2024; CODEN: ESAPE LA - English DB - MTMT ER - TY - GEN AU - Sulyok, Márta Judit AU - Fehérvölgyi, Beáta AU - Csizmadia, Tibor AU - Katona, Attila Imre AU - Kosztyán, Zsolt Tibor TI - Mapping geographical features of scientific research - Insights from tourism PY - 2023 UR - https://m2.mtmt.hu/api/publication/34514682 ID - 34514682 N1 - Megjelenés: 2023. szeptember LA - English DB - MTMT ER - TY - JOUR AU - Katona, Attila Imre AU - Saghir, Aamir AU - Hegedűs, Csaba AU - Kosztyán, Zsolt Tibor TI - Design of Risk-Based Univariate Control Charts With Measurement Uncertainty JF - IEEE ACCESS J2 - IEEE ACCESS VL - 11 PY - 2023 SP - 97567 EP - 97573 PG - 7 SN - 2169-3536 DO - 10.1109/ACCESS.2023.3312226 UR - https://m2.mtmt.hu/api/publication/34264335 ID - 34264335 AB - Control charts are widely used tools of statistical process control (SPC). They are effective tools for indicating process shifts, helping avoid an increased number of defective products in the manufacturing environment. However, their effectiveness is strongly dependent on the performance of the measurement system. In the scientific literature, numerous studies have examined the effect of measurement errors in statistical process control, but only a few of them have focused on developing risk-based control charts that consider the cost of decisions during process control; furthermore, they were developed only for the case of multivariate and adaptive control charts such as T-2 and VSSI (Variable sample Size and Sampling Interval) X-bar charts. This paper fills this gap by using the proposed risk-based concept for commonly used control charts such as X-bar, Moving Average (MA), Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) charts. The effectiveness of the developed risk-based control charts is demonstrated by simulations and real-life datasets. LA - English DB - MTMT ER - TY - GEN AU - Sulyok, Márta Judit AU - Fehérvölgyi, Beáta AU - Csizmadia, Tibor AU - Katona, Attila Imre AU - Kosztyán, Zsolt Tibor TI - Does geography matter? Implications for future tourism research in light of COVID-19 PY - 2023 UR - https://m2.mtmt.hu/api/publication/34140239 ID - 34140239 N1 - Megjelenés: 2023. szeptember LA - English DB - MTMT ER - TY - JOUR AU - Fehér, Katalin AU - Katona, Attila Imre TI - How Do Social Media Machines Affect Self-Concept Research?. Systematic Literature Review of the Latest Trends TS - Systematic Literature Review of the Latest Trends JF - KOME: AN INTERNATIONAL JOURNAL OF PURE COMMUNICATION INQUIRY J2 - KOME VL - 11 PY - 2023 IS - 1 SP - 2 EP - 27 PG - 26 SN - 2063-7330 DO - 10.17646/KOME.2023.1.1 UR - https://m2.mtmt.hu/api/publication/34055716 ID - 34055716 AB - Advanced digital technologies broadly penetrate self-activities, such as algorithms, machine learning, or artificial intelligence. This trend is most evident on social media, where contents, attitudes and evaluative judgments meet on technology-driven platforms. Moreover, human networks also started communicating with social bots or conversational interfaces. All these challenges can trigger a redesign of self-concept via technology. Therefore, the paper investigates how social media machines affect self-concept-related academic research. First, pioneers of the field are presented. Second, the self-concept research in digital technology and social media is summarised. Topic networks illustrate critical research fields with the latest trends and future implications. Last but not least, we also investigate how emerging media phenomena affect academic trends in the case of social bots or fake news. The study aims to support the connected research in psychology, business, management, education, political science, medicine and media studies with an understanding of the latest trends. The additional goal is to highlight the potential of market-based research cooperation with academia supporting significant developments and funding. LA - English DB - MTMT ER - TY - JOUR AU - Sulyok, Márta Judit AU - Fehérvölgyi, Beáta AU - Csizmadia, Tibor AU - Katona, Attila Imre AU - Kosztyán, Zsolt Tibor TI - Does geography matter? Implications for future tourism research in light of COVID-19 JF - SCIENTOMETRICS J2 - SCIENTOMETRICS VL - 128 PY - 2023 IS - 3 SP - 1601 EP - 1637 PG - 37 SN - 0138-9130 DO - 10.1007/s11192-022-04615-z UR - https://m2.mtmt.hu/api/publication/33567519 ID - 33567519 N1 - Received: 22 February 2022 / Accepted: 25 November 2022 AB - Due to the 2019 new coronavirus disease (COVID-19) pandemic, tourism is undergoing fundamental changes that are affecting tourism research. This situation calls for in-depth analyses of tourism research. Scholars have already published review studies on COVID-19-related research within the tourism field; however, these studies do not connect findings, such as the research focus, research methodology and target group, to form a research profile, and the geographical patterns of the findings are not identified. study, COVID-19-related tourism studies were collected and analyzed in depth following the Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA) method. In addition, data-driven methods, such as spatial multilayer networks, frequent patterns and content-based analyses, were applied to identify research profiles and their geographic patterns. This study pointed out the role of geographic patterns in tourism research, going beyond the research of the authors. Moreover, topics, focus destinations, applied methodologies and employed data sources have relevant geographic patterns. Four dominant research profiles that show that a shift can be observed in tourism research toward data sources and research methods were identified. Due to COVID-19, the strengthening of the application of quantitative methods and employment of secondary data sources are needed. LA - English DB - MTMT ER - TY - JOUR AU - Csizmadia, Tibor AU - Katona, Attila Imre TI - A global database for conducting systematic reviews and meta-analyses in innovation and quality management JF - SCIENTIFIC DATA J2 - SCI DATA VL - 9 PY - 2022 IS - 1 PG - 11 SN - 2052-4463 DO - 10.1038/s41597-022-01427-x UR - https://m2.mtmt.hu/api/publication/32887429 ID - 32887429 N1 - Megjelenés: 2022. június LA - English DB - MTMT ER - TY - JOUR AU - Kurbucz, Marcell Tamás AU - Katona, Attila Imre TI - eudistance. Distance calculator for the different levels of European NUTS regions TS - Distance calculator for the different levels of European NUTS regions JF - Software Impacts J2 - Software Impacts VL - 13 PY - 2022 PG - 7 SN - 2665-9638 DO - 10.1016/j.simpa.2022.100327 UR - https://m2.mtmt.hu/api/publication/32865102 ID - 32865102 LA - English DB - MTMT ER - TY - JOUR AU - Kosztyán, Zsolt Tibor AU - Kurbucz, Marcell Tamás AU - Katona, Attila Imre TI - Network-based dimensionality reduction of high-dimensional, low-sample-size datasets JF - KNOWLEDGE-BASED SYSTEMS J2 - KNOWL-BASED SYST VL - 251 PY - 2022 PG - 14 SN - 0950-7051 DO - 10.1016/j.knosys.2022.109180 UR - https://m2.mtmt.hu/api/publication/32865101 ID - 32865101 LA - English DB - MTMT ER -