TY - JOUR AU - Semenova, Viktoriia AU - Sebrek, Szabolcs Szilárd AU - Pérez Garrido, Betsabé AU - Katona, Andrea AU - Michalkó, Gábor TI - The interaction of actor-independent and actor-dependent factors in new venture formation. the case of blockchain-enabled entrepreneurial firms TS - the case of blockchain-enabled entrepreneurial firms JF - ACTA OECONOMICA J2 - ACTA OECON VL - 73 PY - 2023 IS - 4 SP - 537 EP - 559 PG - 23 SN - 0001-6373 DO - 10.1556/032.2023.00001 UR - https://m2.mtmt.hu/api/publication/33550545 ID - 33550545 N1 - Doctoral School of Business and Management, Corvinus University of Budapest, Hungary Corvinus Institute for Advanced Studies, Corvinus University of Budapest, Fovám tér 8, Budapest, H-1093, Hungary Department of Computer Science, Corvinus University of Budapest, Hungary Doctoral School of Management Sciences and Business Administration, University Centre for Circular Economy, University of Pannonia, Nagykanizsa, Hungary Marketing Institute, Corvinus University of Budapest, Hungary CSFK Geographical Research Institute, Budapest, Hungary Cited By :2 Export Date: 12 March 2024 Correspondence Address: Sebrek, S.S.; Corvinus Institute for Advanced Studies, Fovám tér 8, Hungary; email: sebrek@uni-corvinus.hu AB - The study seeks to explore how blockchain technology enables the creation of new ideas for ventures and to examine the activities of founders and entrepreneurial teams in shaping those ideas. We adopted several theoretical frameworks – external enablers theory, dynamic capabilities (DCs), and dynamic managerial capabilities (DMCs) – to explain the interaction of the actor-independent and actor-dependent factors in the process of new firm formation. We analysed four Hungarian blockchain start-ups that operate across financial services, cryptocurrency trading, crypto asset management, energy, information technology, and identity industries and create high value-added and cross-industrial offerings for Hungarian and foreign markets. Using qualitative study research results, the study develops the model of external enablers, founders' and firm capabilities and new venture creation. We identify three interconnected external enablers – namely, market volatility associated with the growing popularity of cryptocurrencies and the underlying blockchain technology, the properties of blockchain, and the ideology behind the technology – and discuss the role of entrepreneurs' DMCs and sensing and seizing activities in discovering and shaping these enablers into profitable business ideas. LA - English DB - MTMT ER - TY - CHAP AU - Balogh, Zoltán TI - Challenges of shopping cart content categorization with LSTM neural networks T2 - 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) PB - IEEE CY - Piscataway (NJ) SN - 9781665470957 PY - 2022 SP - 1 EP - 4 PG - 4 DO - 10.1109/ICECCME55909.2022.9988617 UR - https://m2.mtmt.hu/api/publication/33602824 ID - 33602824 LA - English DB - MTMT ER - TY - THES AU - Molnár, Géza TI - Szemantikus web technológiák alkalmazási lehetőségei az „exploratory” OLAP-ban PY - 2022 SP - 125 DO - 10.14267/phd.2022062 UR - https://m2.mtmt.hu/api/publication/33192809 ID - 33192809 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Molnár, Géza TI - Decision-Making Through a Self-Service Business Intelligence Solution JF - JOURNAL OF APPLIED MULTIMEDIA J2 - JAMPAPER VL - 17 PY - 2022 IS - 1 SP - 8 EP - 16 PG - 9 SN - 1789-6967 DO - 10.26648/JAM.2022.1.002 UR - https://m2.mtmt.hu/api/publication/33067140 ID - 33067140 LA - English DB - MTMT ER - TY - JOUR AU - Borbásné Szabó, Ildikó AU - Ternai, Katalin AU - Fodor, Szabina TI - Affordances in blockchain-based financial recommendations concerned with life events and personalities JF - ENTERPRISE INFORMATION SYSTEMS J2 - ENTERP INFORM SYST VL - 16 PY - 2022 IS - 12 PG - 24 SN - 1751-7575 DO - 10.1080/17517575.2022.2081935 UR - https://m2.mtmt.hu/api/publication/32875554 ID - 32875554 AB - Blockchain technology creates the possibility for developing knowledge-intensive goods. Only a few studies in Affordance theory deal with investigating blockchain. This paper aims to discover affordances in blockchain when designing an AI-based financial recommendation system as a decision support system. The design thinking methodology was extended with machine learning and business process modelling to discover financial offerings, digital objects to be tokenised, advantages gained from the tracing affordances and consensus mechanism, and the role of smart contracts for each persona. The implementation of discovered blockchain-based applications requires a multichain framework to meet the requirements of design affordances. LA - English DB - MTMT ER - TY - JOUR AU - Láng, Blanka AU - Dömsödi, Balázs TI - Development of the Improved Exercise Generation Metaheuristic Algorithm EGAL+ for End Users JF - INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING J2 - INT J EMERG TECH LEARN VL - 17 PY - 2022 IS - 11 SP - 210 EP - 224 PG - 15 SN - 1868-8799 DO - 10.3991/ijet.v17i11.28099 UR - https://m2.mtmt.hu/api/publication/32866703 ID - 32866703 LA - English DB - MTMT ER - TY - JOUR AU - Pérez Garrido, Betsabé AU - Sebrek, Szabolcs Szilárd AU - Semenova, Viktoriia AU - Bal, Damla AU - Michalkó, Gábor TI - Addressing the Phenomenon of Overtourism in Budapest from Multiple Angles Using Unconventional Methodologies and Data JF - SUSTAINABILITY J2 - SUSTAINABILITY-BASEL VL - 14 PY - 2022 IS - 4 PG - 19 SN - 2071-1050 DO - 10.3390/su14042268 UR - https://m2.mtmt.hu/api/publication/32680915 ID - 32680915 N1 - Cited By :3 Export Date: 13 July 2023 Correspondence Address: Pérez Garrido, B.; Department of Computer Science, Hungary; email: perez.betsabe@uni-corvinus.hu LA - English DB - MTMT ER - TY - JOUR AU - Brunner, Csaba AU - Kő, Andrea AU - Fodor, Szabina TI - An Autoencoder-Enhanced Stacking Neural Network Model for Increasing the Performance of Intrusion Detection JF - JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH J2 - J ARTIF INTELL SOFT COMPUT RES VL - 12 PY - 2022 IS - 2 SP - 149 EP - 163 PG - 15 SN - 2083-2567 DO - 10.2478/jaiscr-2022-0010 UR - https://m2.mtmt.hu/api/publication/32660726 ID - 32660726 LA - English DB - MTMT ER - TY - JOUR AU - Burka, Dávid AU - Puppe, Clemens AU - Szepesváry, László AU - Tasnádi, Attila TI - Voting. A machine learning approach TS - A machine learning approach JF - EUROPEAN JOURNAL OF OPERATIONAL RESEARCH J2 - EJOR VL - 299 PY - 2022 IS - 3 SP - 1003 EP - 1017 PG - 15 SN - 0377-2217 DO - 10.1016/j.ejor.2021.10.005 UR - https://m2.mtmt.hu/api/publication/32502879 ID - 32502879 LA - English DB - MTMT ER - TY - CHAP AU - Pintér, Éva AU - Luca, Virág Soós AU - Szigeti, Gergő ED - Yuliia, Serpeninova ED - Pál, Zsolt ED - Larysa, Hrytsenko TI - Bank card fraud and misuses from the aspect of Generation Z banking habits T2 - Aspects of Financial Literacy PB - Sumy State University (SUMDU) CY - Sumy SN - 9789666578870 PY - 2021 SP - 43 UR - https://m2.mtmt.hu/api/publication/32636645 ID - 32636645 LA - English DB - MTMT ER -