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Zusammenfassung

In den letzten Jahren haben Unternehmen in fast allen Branchen eine Reihe von Initiativen zur Identifizierung neuer digitaler Technologien und zur Nutzung ihrer Vorteile durchgeführt (Technology Foresight). Sowohl die Weiterentwicklung bestehender als auch die Implementierung neuer Technologien führt zu einer digitalen Transformation der gesamten Wertschöpfungskette, die nahezu alle Produkte und Prozesse sowie Organisationsstrukturen und Managementkonzepte betrifft (Kersten et al., 2017). Die möglichen Vorteile der Digitalisierung sind vielfältig und umfassen unter anderem Umsatz- oder Produktivitätssteigerungen, Innovationen in der Wertschöpfung sowie neuartige Formen der Interaktion mit Kunden. Durch die Anwendung von Technologien wie beispielsweise künstlicher Intelligenz, maschinellem Lernen oder der Blockchain-Technologie können ganze Geschäftsmodelle transformiert oder ersetzt werden (Downes und Nunes, 2015).

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Literatur

  • Auramo, J., Aminoff, A. und Punakivi, M., 2002. Research agenda for e-business logistics based on professional opinions. International Journal of Physical Distribution & Logistics Management, 32(7), 513–531.

    Google Scholar 

  • Bjork, S., Offer, A. und Söderberg, G., 2014. Time series citation data: The Nobel Prize in economics. Scientometrics, 98(1), 185–196.

    Google Scholar 

  • Bourlakis, M. und Bourlakis, C., 2006. Integrating logistics and information technology strategies for sustainable competitive advantage. Journal of Enterprise Information Management, 19(4), 389–402.

    Google Scholar 

  • Boyack, K.W. und Klavans, R., 2010. Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately?. Journal of the American Society for Information Science and Technology, 61(12), 2389–2404.

    Google Scholar 

  • Briner, R.B. und Denyer, D., 2012. Systematic Review and Evidence Synthesis as a Practice and Scholarship Tool, Handbook of evidence-based management: Companies, classrooms and research, 112–129.

    Google Scholar 

  • Callon, M., Courtial, J.-P., Turner, W.A. und Bauin, S., 1983. From translations to problematicnetworks: An introduction to co-word analysis. Social Science Information, 22(2), 191– 235.

    Google Scholar 

  • Cobo, M.J., López-Herrera, A.G., Herrera-Viedma, E. und Herrera, F., 2011. Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for Information Science and Technology, 62(7), 1382–1402.

    Google Scholar 

  • Downes, L. und Nunes, P., 2015. Big-Bang Disruption. Harvard Business Review, 91(3), 44–56.

    Google Scholar 

  • Egghe, L. und Rousseau, R., 1990. Introduction to Informetrics: quantitative methods in library, documentation and information science, Elsevier Science Publishers.

    Google Scholar 

  • Fera, M., Fruggiero, F., Lambiase, A., Macchiaroli, R. und Miranda, S., 2017. The role of uncertainty in supply chains under dynamic modeling. International Journal of Industrial Engineering Computations, 8(1), 119–140.

    Google Scholar 

  • Freeman, L.C., 1977. A Set of Measures of Centrality Based on Betweenness. Sociometry, 40(1), 35.

    Google Scholar 

  • Fruchterman, M.J. und Reingold, E.M., 1991. Graph Drawing by Force-directed Placement. Software: Practice and experience, 21(11), 1129–1164.

    Google Scholar 

  • Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S.F., Childe, S.J., Hazen, B. und Akter, S., 2017. Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317.

    Google Scholar 

  • Harris, I., Wang, Y. und Wang, H., 2015. ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88–103.

    Google Scholar 

  • Hazen, B.T., Boone, C.A., Ezell, J.D. und Jones-Farmer, L.A., 2014. Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72–80.

    Google Scholar 

  • Hofmann, E. und Osterwalder, F., 2017. Third-Party Logistics Providers in the Digital Age: Towards a New Competitive Arena?. Logistics, 1(2), 9.

    Google Scholar 

  • Kache, F. und Seuring, S., 2017. Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations & Production Management, 37(1), 10–36.

    Google Scholar 

  • Kersten, W., Schröder, M. und Indorf, M., 2017. Potenziale der Digitalisierung für das Supply Chain Risikomanagement: Eine empirische Analyse, in: Seiter, M., Grünert, L. und Berlin, S. (Hrsg.), Betriebswirtschaftliche Aspekte von Industrie 4.0, Springer Gabler, Wiesbaden, 47–74.

    Google Scholar 

  • Kessler, M.M., 1963. Bibliographic coupling between scientific papers. American documentation, 14(1), 10–25.

    Google Scholar 

  • King, J., 1987. A review of bibliometric and other science indicators and their role in research evaluation. Journal of Information Science, 13(5), 261–276.

    Google Scholar 

  • Le, Q. V. und Mikolov, T., 2014. Distributed Representations of Sentences and Documents. International Conference on Machine Learning, 1188–1196.

    Google Scholar 

  • Leydesdorff, L., 2008. On the normalization and visualization of author co-citation data: Salton’s Cosineversus the Jaccard index. Journal of the American Society for Information Science and Technology, 59(1), 77–85.

    Google Scholar 

  • Lichtenthaler, E., 2004. Technological change and the technology intelligence process: A case study. Journal of Engineering and Technology Management - JET-M, 21(4), 331–348.

    Google Scholar 

  • van der Maaten, L. und Hinton, G., 2008. Visualizing Data using t-SNE. Journal of Machine Learning Research, 9, 2579–2605.

    Google Scholar 

  • Marshakova, I., 1973. System of document connections based on references. Nauchno- Tekhnicheskaya Informatsiya Seriya 2 - Informatsionnye Protsessy i Sistemy, (6), 3–8.

    Google Scholar 

  • De Meo, P., Ferrara, E., Fiumara, G. und Provetti, A., 2011. Generalized Louvain method for community detection in large networks. International Conference on Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on Intelligent Systems Design and Applications, IEEE, 88–93.

    Google Scholar 

  • Merigó, J.M. und Yang, J.B., 2017. Accounting Research: A Bibliometric Analysis. Australian Accounting Review, 27(1), 71–100.

    Google Scholar 

  • Mishra, D., Gunasekaran, A., Papadopoulos, T. und Childe, S.J., 2018. Big Data and supply chain management: a review and bibliometric analysis. Annals of Operations Research, 270(1– 2), 313–336.

    Google Scholar 

  • Müller, J.M., Buliga, O. und Voigt, K.I., 2018. Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2–17.

    Google Scholar 

  • Porter, A.L. und Cunningham, S.W., 2004. Tech Mining: Exploiting New Technologies for Competitive Advantage, 1. Aufl., John Wiley & Sons, Hoboken, NJ, USA.

    Google Scholar 

  • Pritchard, A., 1996. Statistical bibliography or bibliometrics. Journal of documentation, 25(4), 348–349.

    Google Scholar 

  • Reaidy, P.J., Gunasekaran, A. und Spalanzani, A., 2015. Bottom-up approach based on Internet of Things for order fulfillment in a collaborative warehousing environment. International Journal of Production Economics, 159, 29–40.

    Google Scholar 

  • Rip, A. und Courtial, J.P., 1984. Co-word maps of biotechnology: An example of cognitive scientometrics. Scientometrics, 6(6), 381–400.

    Google Scholar 

  • Sandison, A., 1989. Documentation Note: Thinking about citation analysis. Journal of Documentation, 45(1), 59–64.

    Google Scholar 

  • Scott, J., 2000. Social Network Analysis: A Handbook, 2. Aufl., Sage Publications.

    Google Scholar 

  • Slavin, R.E., 1986. Best-Evidence Synthesis: An Alternative to Meta-Analytic and Traditional Reviews. Educational Researcher, 15(9), 5–11.

    Google Scholar 

  • Small, H., 1973. Co-citation in the Scientific Literature: A New Measure of the Relationship Between Two Documents. Journal of the American Society for Information Science, 24(4), 265–269.

    Google Scholar 

  • Smith, L.C., 1981. Citation analysis. Library Trends, 30(1), 83–106.

    Google Scholar 

  • De Solla Price, D., 1965. Networks of scientific papers. Science, 149(3683), 510–515.

    Google Scholar 

  • Srinivasan, R., Lilien, G.L. und Rangaswamy, A., 2002. Technological Opportunism and Radical Technology Adoption: An Application to E-Business. Journal of Marketing, 66(3), 47– 60.

    Google Scholar 

  • Su, H.N. und Lee, P.C., 2010. Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight. Scientometrics, 85(1), 65–79.

    Google Scholar 

  • Wu, D., Liu, S., Zhang, L., Terpenny, J., Gao, R.X., Kurfess, T. und Guzzo, J.A., 2017. A fog computing-based framework for process monitoring and prognosis in cybermanufacturing. Journal of Manufacturing Systems, 43, 25–34.

    Google Scholar 

  • Xu, L. Da, Xu, E.L. und Li, L., 2018. Industry 4.0: state of the art and future trends. International Journal of Production Research, 7543, 1–22.

    Google Scholar 

  • Ziman, J., 1968. Public Knowledge : An Essay Concerning the Social Dimension of Science, CUP Archive.

    Google Scholar 

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Schwarz, J., Ihl, C. (2019). Einfluss digitaler (Startup-)Technologien im Operations Management. In: Schröder, M., Wegner, K. (eds) Logistik im Wandel der Zeit – Von der Produktionssteuerung zu vernetzten Supply Chains. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-25412-4_7

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  • DOI: https://doi.org/10.1007/978-3-658-25412-4_7

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