Data-driven operations management: organisational implications of the digital transformation in industrial practice

References

• Agrawal, D., S. Das, and A. El Abbadi. 2011. “Big Data and Cloud Computing: Current State and Future Opportunities.” International Conference on Extending Database Technology, Uppsala, Sweden, 1–4.
   Google Scholar
• Anderl, R., D. Strang, A. Picard, and A. Christ. 2014. “Integriertes Bauteildatenmodell – Informationsträger für cyber-physische Produktionssysteme.” ZWF 109 (1–2): 64–69.10.3139/104.111098
   Google Scholar
• Atmosudiro, A., M. Faller, and A. Verl. 2014. “Durchgängige Datenintegration in die Cloud.” WT 104 (3): 151–155.
   Google Scholar
• Auerbach, T., S. Kamps, D. Veselovac, and F. Klocke. 2013. “Digitales Technologiewissen durch intelligente Fertigungssysteme.” ZWF 108 (7–8): 7–8.
   Google Scholar
• Bauernhansl, T., M. ten Hompel, and B. Vogel-Heuser. 2014. Industry 4.0 in Produktion, Automatisierung und Logistik. Wiesbaden: Springer Vieweg.10.1007/978-3-658-04682-8
   Google Scholar
• Bendre, M. R., and V. R. Thool. 2016. “Analytics, Challenges and Applications in Big Data Environment: A Survey.” Journal of Management Analytics 3 (3): 206–239.10.1080/23270012.2016.1186578
   Web of Science ®Google Scholar
• Blunck, H., and K. Windt. 2013. “Komplexität schafft Spielraum für Selbststeuerung.” WT 103 (2): 109–113.
   Google Scholar
• Brettel, M., N. Friederichsen, M. Keller, and M. Rosenberg. 2014. “How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape.” International Journal of Mechanical, Aerospace, Industrial and Mechatronics Engineering 8 (1): 37–44.
   Google Scholar
• Cattell, R. 2011. “Scalable SQL and NoSQL Data Stores.” ACM SIGMOD Record 39 (4): 12–27.10.1145/1978915
   Web of Science ®Google Scholar
• Chaganti, P., and R. Helms. 2010. Amazon SimpleDB Developer Guide, 252. Birmingham: Packt Publishing.
   Google Scholar
• Chen, Y., H. Chen, A. Gorkhali, Y. Lu, Y. Ma, and L. Li. 2016. “Big Data Analytics and Big Data Science: A Survey.” Journal of Management Analytics 3 (1): 1–42.10.1080/23270012.2016.1141332
   Web of Science ®Google Scholar
• Chen, M., S. Mao, and Y. Liu. 2014. “Big Data: A Survey.” Mobile Networks and Applications 19 (2): 171–209.10.1007/s11036-013-0489-0
   Web of Science ®Google Scholar
• Chodorow, K. 2013. MongoDB: The Definitive Guide. Sebastopol (CA): O’Reily Media.
   Google Scholar
• Denkena, B., H. Boujnah, H. Henning, J. Schmidt, and J. Meyer. 2013. “Anwendungspotentiale gentelligenter Bauteile.” WT 103 (2): 152–156.
   Google Scholar
• Dijcks, J. 2012. Big Data for the Enterprise. Oracle report. Redwood Shores (CA): Oracle Cooperation.
   Google Scholar
• Fleischer, J., G. Lanza, D. Appel, and N. Stricker. 2013. “Life Cycle Performance 4 . 0 Strategische und technische Lösungen für den intelligenten Betrieb von Maschinen und Anlagen.” WT 103 (2): 124–129.
   Google Scholar
• Fornasiero, R., A. Zangiacomi, V. Franchini, J. Bastos, A. Azevedo, and A. Vinelli. 2016. “Implementation of Customisation Strategies in Collaborative Networks Through an Innovative Reference Framework.” Production Planning & Control 27 (14): 1158–1170.
   Web of Science ®Google Scholar
• Franke, J., J. Merhof, C. Fischer, and F. Risch. 2010. “Intelligente Steuerungskonzepte für wandlungsfähige Produktionssysteme.” Industrie Management 26 (2): 61–64.
   Google Scholar
• Frazzon, E. M., J. Hartmann, T. Makuschewitz, and B. Scholz-Reiter. 2013. “Towards Socio-Cyber-Physical Systems in Production Networks.” CIRP Conference on Manufacturing Systems 7: 49–54.
   Google Scholar
• Fritzsche, A. 2009. “The Simulated Traces of Action – B.I. & Reflection Through Technology.” International Review of Information Ethics 10: 3–8.
   Google Scholar
• Fritzsche, A. 2016. “Dancing the Device: A Translational Approach to Technology.” In Spaces for the Future: A Companion to Philosophy of Technology, edited by J. Pitt and A. Shew, 216–223. New York: Routledge.
   Google Scholar
• Geisberger, E., and M. Broy. 2012. Agenda CPS Integrierte Forschungsagenda Cyber-Physical Systems. Munich: Acatech – Deutsche Akademie der Technikwissenschaften.
   Google Scholar
• Grundstein, S., S. Schukraft, M. Görges, and B. Scholz-Reiter. 2013. “Autonome Produktionssteuerung bei zentraler Produktionsplanung.” ZWF 108 (12): 992–994.10.3139/104.111055
   Google Scholar
• Gunasekaran, A., and E. W. Ngai. 2004. “Information Systems in Supply Chain Integration and Management.” European Journal of Operational Research 159: 269–295.10.1016/j.ejor.2003.08.016
   Web of Science ®Google Scholar
• Gupta, R., H. Gupta, and M. Mohania. 2012. “Cloud Computing and Big Data Analytics: What Is New from Databases Perspective?” In Big Data Analytics: First International Conference, New Delhi, India, 42–61.10.1007/978-3-642-35542-4
   Google Scholar
• Herkommer, O., and K. Hieble. 2014. “Ist Industrie 4.0 die nächste Revolution in der Fertigung ?” Industrie Management 30 (1): 42–46.
   Google Scholar
• Hewitt, E. 2010. Cassandra: The Definitive Guide. Sebastopol (CA): O’Reily Media.
   Google Scholar
• Holsti, O. R. 1969. Content Analysis for the Social Science and Humanities. Reading, MA: Addison-Wesley.
   Google Scholar
• Holtewert, P., R. Wutzke, J. Seidelmann, and T. Bauernhansl. 2013. “Virtual Fort Knox Federative, Secure and Cloud-based Platform for Manufacturing.” In CIRP Conference on Manufacturing Systems, vol. 7, 527–532. Setubal: Elsevier B.V.
   Google Scholar
• Höme, S., J. Grützner, T. Hadlich, C. Diedrich, D. Schnäpp, S. Arndt, and E. Schnieder. 2015. “Semantic Industry: Herausforderungen auf dem Weg zur rechnergestützten Informationsverarbeitung der Industrie 4.0.” Automatisierungstechnik AT 63 (2): 74–86.
   Google Scholar
• Jatzkowski, J., and B. Kleinjohann. 2014. “Towards Self-reconfiguration of Real-time Communication within Cyber-physical Systems.” International Conference on System-integrated Intelligence 15: 54–61.
   Google Scholar
• Jungbae Roh, J., and P. Hong. 2015. “Taxonomy of ERP Integrations and Performance Outcomes: An Exploratory Study of Manufacturing Firms.” Production Planning & Control 26 (8): 617–636.
   Web of Science ®Google Scholar
• Kagermann, H., W. Wahlster, and J. Helbig. 2013. Recommendations for Implementing the Strategic Initiative Industrie 4.0. Frankfurt/Main: Platform Industrie 4.0.
   Google Scholar
• Kaur, K., and R. Rani. 2013. “Modeling and Querying Data in NoSQL Databases.” IEEE International Conference on Big Data, Silicon Valley, CA, 1–7.
   Google Scholar
• Klenke, K. 2008. Qualitative Research in the Study of Leadership. Bingley: Emerald Group Publishing.
   Google Scholar
• Klocke, F., D. Veselovac, and G. Keitzel. 2013. “Cloudbasierte Informationssysteme.” WT 103 (2): 90–95.
   Google Scholar
• Koch, V., R. Geissbauer, S. Kuge, and S. Schrauf. 2014. Chancen und Herausforderungen der vierten industriellen Revolution. Munich: Pwc und Strategy&.
   Google Scholar
• Krippendorff, K. 2004. Content Analysis: An Introduction to its Methodology. Thousand Oaks, CA: Sage.
   Google Scholar
• Lanza, G., N. Stricker, and S. Peters. 2013. “Ad-hoc Rescheduling and Innovative Business Models for Shock- robust Production Systems.” In CIRP Conference on Manufacturing Systems, vol. 7, 121–126. Setubal: Elsevier B.V.
   Google Scholar
• Lasi, H., H.-G. Kemper, P. Fettke, T. Feld, and M. Hoffmann. 2014. “Industrie 4.0.” Wirtschaftsinformatik 56(4): 261–264.
   Google Scholar
• Lee, E. A. 2008. “Cyber Physical Systems: Design Challenges.” In IEEE International Symposium on Object and Component-Oriented Real-time Distributed Computing, Orlando, FL, 363–369.
   Google Scholar
• Lee, J., H.-A. Kao, and S. Yang. 2014. “Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment.” Conference on Industrial Product-Service Systems 16: 3–8.
   Google Scholar
• Lee, J., E. Lapira, B. Bagheri, and H. Kao. 2013. “Recent Advances and Trends in Predictive Manufacturing Systems in Big Data Environment.” Manufacturing Letters, Society of Manufacturing Engineers (SME) 1 (1): 38–41.
   Google Scholar
• Letmathe, P., N. Maslan, and P. Zeise. 2013. “Ressourceneffizienz in Produktionsprozessen.” ZWF 108 (6): 449–452.10.3139/104.110951
   Google Scholar
• Loos, P. 1999. “Grunddatenverwaltung und Betriebsdatenerfassung als Basis der Produktionsplanung und – steuerung.” In Produktionscontrolling, 227–252. Munich: Vahlen München.
   Google Scholar
• Madisetti, V., and A. Bahga. 2014. Internet of Things – A Hands-On Approach, 1st ed. VTP.
   Google Scholar
• de Mauro, A., M. Greco, and M. Grimaldi. 2015. “What is Big Data? A Consensual Definition and a Review of Key Research Topics.” AIP Conference Proceedings 1644: 97–104.10.1063/1.4907823
   Google Scholar
• Mayring, P. 2000. “Qualitative Content Analysis.” Forum Qualitative Sozialforschung / Forum: Qualitative Social Research 1 (2): 1–7.
   Google Scholar
• Mayring, P. 2008. Qualitative Inhaltsanalyse. Weinheim Basel: Beltz Verlag.
   Google Scholar
• Mertens, P. 2014. “Industrie 4.0 = CIM 2.0.” Industrie Management 30 (1): 28–30.
   Google Scholar
• Mertens, P., and J. Griese. 2002. Integrierte Informationsverarbeitung 2 – Planungs- und Kontrollsysteme. Wiesbaden: Gabler.
   Google Scholar
• Monostori, L. 2014. “Cyber-physical Production Systems: Roots, Expectations and R&D Challenges.” CIRP Conference on Manufacturing Systems 17: 9–13.
   Google Scholar
• Myers, M. D. 1997. “Qualitative Research in Information Systems.” MIS Quarterly 21 (2): 241–242.10.2307/249422
   Web of Science ®Google Scholar
• Oberniedermaier, G., and T. Sell-Jander. 2002. Sales and Distribution with SAP®. Braunschweig/Wiesbaden: Springer Vieweg.10.1007/978-3-322-86579-3
   Google Scholar
• Oks, S. J., A. Fritzsche, and C. Lehmann. 2016. “The Digitalisation of Industry from a Strategic Perspective” In R&D Management Conference (RADMA), Cambridge, UK.
   Google Scholar
• Oks, S. J., A. Fritzsche, and K. M. Möslein. 2017. “An Application Map for Industrial Cyber-physical Systems.” In Industrial Internet of Things, edited by S. Jeschke, C. Brecher, H. Song, and D. B. Rawat, 21–46. Cham: Springer International Publishing.10.1007/978-3-319-42559-7
   Google Scholar
• Overmeyer, L., S. Kleinert, M. Radosavac, T. Krühn, S. Heißmeyer, and A. Bentlage. 2013. “Kognitive Transportsysteme durch optische Technologien.” WT 103 (2): 139–145.
   Google Scholar
• Plorin, D., D. Jentsch, and R. Riedel. 2013. “Ambient Assisted Production.” WT 103 (2): 135–138.
   Google Scholar
• Pokorny, J. 2013. “NoSQL Databases: A Step to Database Scalability in Web Environment.” International Journal of Web Information Systems 9 (1): 69–82.10.1108/17440081311316398
   Google Scholar
• Porter, M. E., and J. E. Heppelmann. 2014. “Wie smarte Produkte den Wettbewerb verändern.” Havard Business Manager 12: 35–60.
   Google Scholar
• Rehder, E., and A. Schatz. 2014. “Reifegradbasierte Kopplung – koordinierte Selbststeuerung für dezentrale Produktionssysteme.” WT 104 (3): 129–133.
   Google Scholar
• Rehm, S. V., L. Goel, and M. Crespi. 2015. “The Metaverse as Mediator between Technology, Trends, and the Digital Transformation of Society and Business.” Journal For Virtual Worlds Research 8 (2): 1–6.
   Google Scholar
• Reinhart, G., P. Engelhardt, F. Geiger, and T. R. Philipp. 2013. “Cyber-Physische Produktionssysteme.” WT 103 (2): 84–89.
   Google Scholar
• Rekersbrink, H., B. Ludwig, and B. Scholzreiter. 2007. “Entscheidungen selbst- steuernder logistischer Objekte.” Industrie Management 23 (4): 25–30.
   Google Scholar
• Scheifele, S., J. Friedrich, A. Lechler, and A. Verl. 2014. “Flexible, Self-configuring Control System for a Modular Production System.” In 2nd International Conference on System-Integrated Intelligence, 15: 398–405. Elsevier B.V.
   Google Scholar
• Sendler, U. 2009. Das PLM-Kompendium. Berlin Heidelberg: Springer.10.1007/978-3-540-87898-8
   Google Scholar
• Stadtler, H. 2015. “Supply Chain Management: An Overview.” In Supply Chain Management and Advanced Planning, edited by H. Stadtler, C. Kilger, and H. Meyr, 3–28. Springer Berlin Heidelberg.
   Google Scholar
• Sztipanovits, J., S. Ying, D. Corman, J. Davis, P. J. Mosterman, V. Prasad, and L. Stormo. 2013. Strategic R&D Opportunities for 21st Century Cyber-Physical Systems. National Institute of Standards and Technology (NIST).
   Google Scholar
• VDI/VDE. 2015. Industrie 4.0 Statusreport: Referenzarchitekturmodell Industrie 4.0 (RAMI4.0). Düsseldorf: VDI/VDE.
   Google Scholar
• Verl, A., A. Lechler, S. Wesner, A. Kirstädter, J. Schlechtendahl, L. Schubert, and S. Meier. 2013. “An Approach for a Cloud-based Machine Tool Control.” CIRP Conference on Manufacturing Systems 7: 682–687.
   Google Scholar
• Vogel-Heuser, B., G. Kegel, K. Bender, and K. Wucherer. 2009. “Global Information Architecture for Industrial Automation.” ATP 1 (2): 108–115.
   Google Scholar
• Westkämper, E. 2011. “New Paradigms of Advanced Manufacturing Engineering.” 17th International QFD Symposium, ISQFD, Stuttart.
   Google Scholar
• White, T. 2012. Hadoop: the Definitive Guide. Sebatopol (CA): O’Reily Media.
   Google Scholar
• Yoo, Y., R. Boland, K. Lyytinen, and A. Majchrzak. 2012. “Organizing for Innovation in the Digitized World.” Organization Science 23 (5): 1398–1408.10.1287/orsc.1120.0771
   Web of Science ®Google Scholar
• Yoo, Y., O. Henfridsson, and K. Lyytinen. 2010. “Research Commentary–The New Organizing Logic of Digital Innovation: An Agenda for Information Systems Research.” Information systems research 21 (4): 724–735.
   Web of Science ®Google Scholar
• Yoo, Y., K. Lyytinen, V. Thummadi, and A. Weiss. 2010 “Unbounded Innovation with Digitalization: A Case of Digital Camera.” Annual Meeting of the Academy of Management, Montreal.
   Google Scholar