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U. Jayawickrama, S. Liu, M. Hudson, Empirical evidence of an integrative knowledge competence framework for ERP systems implementation in UK industries. Comput. Ind. 82, 205–223 (2016), DOI: 10.1016/j.compind.2016.07.005 1 10.1016/j.compind.2016.07.005 false true Reference 23210510 /api/reference/23210510 2. M.S., Why does an automotive industry need ERP?, Quora, 2018. [Online]. Available: https://www.quora.com/Why-does-an-automotive-industry-need-ERP. Accessed 29 Jan 2019 2 false true Reference 23210511 /api/reference/23210511 3. U. Jayawickrama, S. Yapa, Factors affecting ERP implementations: Client and consultant perspectives. J. Enterp. Resour. Plan. Stud. 2013 (2013), DOI: 10.5171/2013.227873 3 10.5171/2013.227873 false true Reference 23210512 /api/reference/23210512 4. C. Wickman, J. Orlovska, R. Soderberg, Big data usage can be a solution for user behavior evaluation: An automotive industry example. Procedia CIRP 72, 117–122 (2018), DOI: 10.1016/j.procir.2018.03.102 4 10.1016/j.procir.2018.03.102 false true Reference 23210513 /api/reference/23210513 5. Deloitte LLP, Big data and analytics in the automotive industry: Automotive analytics thought piece Contents, p. 16, 2015 5 false true Reference 23210514 /api/reference/23210514 6. D. Mattews, Data is key to autonomous vehicle technology, SmartDataCollective, 2018. [Online]. Available: https://www.smartdatacollective.com/data-key-autonomous-vehicle-technology-tesla-says-winning/. Accessed: 30 Jan 2019 6 false true Reference 23210515 /api/reference/23210515 7. U. Jayawickrama, S. Liu, M.H. Smith, P. Akhtar, M. Al Bashir, Knowledge retention in ERP implementations: The context of UK SMEs. Prod. Plan. Control 30(10–12), 1032–1047 (2019), DOI: 10.1080/09537287.2019.1582107 7 10.1080/09537287.2019.1582107 false true Reference 23210516 /api/reference/23210516 8. K. Saxena, The future of erp with big data businesses systems and impacting. Int. J. Adv. Electron. Comput. Sci. 3(9), 25–27 (2016) 8 false true Reference 23210517 /api/reference/23210517 9. T.H. Davenport, Putting the enterprise into the enterprise system. Harv. Bus. Rev., 121–132 (1998) 9 false true Reference 23210518 /api/reference/23210518 10. H.M. Al-Sabri, M. Al-Mashari, A. Chikh, A comparative study and evaluation of ERP reference models in the context of ERP IT-driven. Bus. Process. Manag. J. 24(4), 943–964 (2018), DOI: 10.1108/BPMJ-07-2016-0139 10 10.1108/BPMJ-07-2016-0139 false true Reference 23210519 /api/reference/23210519 11. Plex, Must-have ERP features for the automotive industry, Manufacturing .Net, 2014. [Online]. Available: https://www.manufacturing.net/article/2014/01/must-have-erp-features-automotive-industry. Accessed 30 Jan 2019 11 false true Reference 23210520 /api/reference/23210520 12. M. Ali, L. Miller, ERP system implementation in large enterprises – A systematic literature review. J. Enterp. Inf. Manag. 30(4), 666–692 (2017), DOI: 10.1108/JEIM-07-2014-0071 12 10.1108/JEIM-07-2014-0071 false true Reference 23210521 /api/reference/23210521 13. V. Beal, ERP-enterprise resource planning, Webopedia. [Online]. Available: http://www.webopedia.com/TERM/E/ERP.html 13 false true Reference 23210522 /api/reference/23210522 14. A. Lorenc, Customer logistic service in the automotive industry with the use of the SAP ERP system, 2015 4th Int. Conf. Adv. Logist. Transp., pp. 18–23, 2015, DOI: 10.1109/ICAdLT.2015.7136584 14 10.1109/ICAdLT.2015.7136584 false true Reference 23210523 /api/reference/23210523 15. W. Tsai, P. Lee, Y. Shen, H. Lin, A comprehensive study of the relationship between enterprise resource planning selection criteria and enterprise resource planning system success. Inf. Manag. 49(1), 36–46 (2012), DOI: 10.1016/j.im.2011.09.007 15 10.1016/j.im.2011.09.007 false true Reference 23210524 /api/reference/23210524 16. J. Carr, ERP in the auto industry, Ultra Consultants, 2016. [Online]. Available: https://ultraconsultants.com/erp-in-the-auto-industry/. Accessed: 29 Jan 2019 16 false true Reference 23210525 /api/reference/23210525 17. J. Kim, H. Hwangbo, S. Kim, An empirical study on real-time data analytics for connected cars: Sensor-based applications for smart cars. Int. J. Distrib. Sens. Netw. 14(1) (2018), DOI: 10.1177/1550147718755290 17 10.1177/1550147718755290 false true Reference 23210526 /api/reference/23210526 18. A. Rastogi, Impact of big data on the automotive industry, newgen apps, 2018. [Online]. Available: https://www.newgenapps.com/blog/impact-of-big-data-on-the-automotive-industry. Accessed 29 Dec 2018 18 false true Reference 23210527 /api/reference/23210527 19. I.A.T. Hashem, I. Yaqoob, N.B. Anuar, S. Mokhtar, A. Gani, S. Ullah Khan, The rise of ‘big data’ on cloud computing: Review and open research issues. Inf. Syst. 47, 98–115 (2015), DOI: 10.1016/j.is.2014.07.006 19 10.1016/j.is.2014.07.006 false true Reference 23210528 /api/reference/23210528 20. Z. Shi, G. Wang, Integration of big-data ERP and business analytics (BA). J. High Technol. Manag. Res. 29(2), 141–150 (2018), DOI: 10.1016/j.hitech.2018.09.004 20 10.1016/j.hitech.2018.09.004 false true Reference 23210529 /api/reference/23210529 21. Z. Khan, U. Jayawickrama, P. Akhtar, S.Y. Tarba, The Internet of Things, dynamic data and information processing capabilities and operational agility. Technol. Forecast. Soc. Change, 1–32 (2017) 21 false true Reference 23210530 /api/reference/23210530 22. K. O’Shaughnessy, Unique industries served by ERP solutions, Select Hub, 2019. [Online]. Available: https://selecthub.com/enterprise-resource-planning/erp-manufacturing-industries/. Accessed 17 May 2019 22 false true Reference 23210531 /api/reference/23210531 23. Techpedia, Database administration, Techopedia. [Online]. 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Simon, Massive autonomous vehicle sensor data: what does it mean?, datanami, 2017. [Online]. Available: https://www.datanami.com/2017/05/15/massive-autonomous-vehicle-sensor-data-mean/. Accessed 2 Feb 2019 27 false true Reference 23210536 /api/reference/23210536 28. W.-H. Lin, H. Liu, H.K. Lo, Guest editorial : Big data for driver, vehicle, and system control in ITS. IEEE Trans. Intell. Transp. Syst. 17(6), 1663–1665 (2016), DOI: 10.1109/TITS.2016.2564218 28 10.1109/TITS.2016.2564218 false true Reference 23210537 /api/reference/23210537 29. A. Elragal, ERP and Big Data: The Inept Couple. Procedia Technol. 16(February), 242–249 (2015) 29 false true Reference 23210538 /api/reference/23210538 30. B. Marr, Big Data in practise, Bernard Marr & Co., 2019. [Online]. Available: https://www.bernardmarr.com/default.asp?contentID=762 30 false true Reference 23210539 /api/reference/23210539 31. M. Voigt, C. Bennison, M. Hammerschmidt, Gaining traction Big Data in the automotive industry. Bus. Transform. J. 10, 1–2 (2016) 31 false true Reference 23210540 /api/reference/23210540 32. S. Gill, Big Data, the Internet of Things, and how ERP can make good on the promise of real-time actionable intelligence, 2017 32 false true Reference 23210541 /api/reference/23210541 33. J. S. Apte et al., High-resolution air pollution mapping with Google street view cars: Exploiting Big Data, Environ. Sci. Technol., 2017, DOI: 10.1021/acs.est.7b00891 33 10.1021/acs.est.7b00891 false true Reference 23210542 /api/reference/23210542 34. A. Mylonas, V. Meletiadis, L. Mitrou, D. Gritzalis, Smartphone sensor data as digital evidence. Comput. Secur. 38(2012), 51–75 (2013), DOI: 10.1016/j.cose.2013.03.007 34 10.1016/j.cose.2013.03.007 false true Reference 23210543 /api/reference/23210543 35. T. Orosz, & I. Orosz, Company level big data management, in SACI 2014 - 9th IEEE Int. Symp. Appl. Comput. Intell. Informatics, Proc., pp. 299–303, 2014, DOI: 10.1109/SACI.2014.6840081 35 10.1109/SACI.2014.6840081 false true Reference 23210544 /api/reference/23210544 36. Malcom Fox, simplifying-erp-reducing-complexity-and-improving-responsiveness-succeed, Manufacturing.net, 2015. [Online].. Available: https://www.manufacturing.net/article/2015/11/simplifying-erp-reducing-complexity-and-improving-responsiveness-succeed. Accessed 1 Jan 2019 36 false true Reference 23210545 /api/reference/23210545 37. I. Bin Aris, R.K.Z. Sahbusdin, A.F.M. Amin, Impacts of IoT and big data to automotive industry, in 2015 10th Asian Control Conf. Emerg. Control Tech. a Sustain. World, ASCC 2015, (2015), pp. 1–5 37 false true Reference 23210546 /api/reference/23210546 38. D. Levinson and P. Investigator, “The Transportation Future s Project: Planning for Technology Change,” 2016. 38 false true Reference 23210547 /api/reference/23210547 39. U. Jayawickrama, S. Liu, and M. H. Smith, “Knowledge prioritisation for ERP implementation success,” Ind. Manag. Data Syst., 2017, DOI: 10.1108/IMDS-09-2016-0390 39 10.1108/IMDS-09-2016-0390 false true Reference 23210548 /api/reference/23210548 40. S. Accelerometers, U. Deep, Estimating Vehicle Movement Direction from Smartphone Accelerometers Using Deep Neural Networks (Senmsors, 2018) 40 false true BookChapter 32212207 /api/publication/32212207 Bandara Florie et al. Emerging Interactions of ERP Systems, Big Data and Automotive Industry. (2021) Megjelent: Advances in Software Engineering, Education, and e-Learning: Proceedings from FECS'20, FCS'20, SERP'20, and EEE'20 pp. 863-877 false true false PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true SubType 10000389 /api/subtype/10000389 Műtárgyleírás (Könyvrészlet) Műtárgyleírás Description of art work PublicationType 25 /api/publicationtype/25 Könyvrészlet 25 BookChapter 2 true 25 true 227 true 10000389 true Category 1 /api/category/1 Tudományos true 1 true Language 10002 /api/language/10002 Angol Angol English true 2 true PublicationIdentifier 19315062 /api/publicationidentifier/19315062 DOI: 10.1007/978-3-030-70873-3_62 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true 10.1007/978-3-030-70873-3_62 https://doi.org/10.1007/978-3-030-70873-3_62 false true PublicationIdentifier 19315063 /api/publicationidentifier/19315063 Egyéb URL: https://link.springer.com/10.1007/978-3-030-70873-3_62 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://link.springer.com/10.1007/978-3-030-70873-3_62 https://link.springer.com/10.1007/978-3-030-70873-3_62 false true 15 2021 true true true false false true true BookChapter 32301317 /api/publication/32301317 Keviczky L et al. Innovative Methods of Teaching the Basic Control Course. 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Advances in Software Engineering, Education, and e-Learning: Proceedings from FECS'20, FCS'20, SERP'20, and EEE'20. (2021) ISBN:9783030708733; 9783030708726<div class="Book Publication long-list"> <div class="authors"> <div class="autype autype-1"> Szerkesztő: <span class="author-name" >Arabnia Hamid R </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Deligiannidis Leonidas </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Tinetti Fernando G. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Tran Quoc-Nam </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;32212208" target="_blank">Advances in Software Engineering, Education, and e-Learning: Proceedings from FECS'20, FCS'20, SERP'20, and EEE'20</a></div><div class="conference"> Konferencia helye, ideje: <span class="location">Las Vegas (NV), Amerikai Egyesült Államok <span class="conference-date">2020.07.27. - 2020.07.30.</span> </div><div class="publish-data"> <span class="published-at"> Cham</span>: <span class="publishers">Springer Cham</span>, <span class="pages">1,015 p.</span> <span class="year">(2021)</span> </div> <span class="volume"> <span class="volumeTitle"></span> ( <span class="seriesTitle">Transactions on Computational Science and Computational Intelligence; </span> <span class="issn">2569-7072</span> <span class="issn">2569-7080</span> ) <br> </span> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1007/978-3-030-70873-3" target="_blank" href="https://doi.org/10.1007/978-3-030-70873-3"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783030708733" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783030708733"> 9783030708733 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:black" title="9783030708726" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9783030708726"> 9783030708726 </a> </span> </span> <div class="mtid"><span class="long-pub-mtid">Közlemény: 32212208</span> | <span class="status-data status-APPROVED"> Nyilvános </span> | <span class="type-subtype">Könyv ( Konferenciakötet ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Utolsó módosítás: 2024.09.14. 16:00 Tomcsányi Zsuzsanna (MTMT_KP_admin) </div> <div class="chapters"> <b><a target="_blank" href="/api/publication?from=BookChapter&cond=book.mtid;eq;32212208">Fejezetek: 2</a></b> </div> </div></div>