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Cited by 345Digital Transformation in IndustryImpact of AI and Big Data on Business and SocietyDigital Innovation in Industries

The DOI matches its Crossref record; 137 of the 139 references it cites were found in a registry or an index.

Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field

Schneider, Paul·2018·Review of Managerial Science
DOI 10.1007/s11846-018-0283-2
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Citations

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Show all 139 references

Research works printed but not linked: 12

  1. acatech (2011) Cyber-physical systems: driving force for innovation in mobility, health, energy and production. acatech – National Academy of Science and Engineering, München
  2. Economist The (2015) Does Deutschland do digital? Economist 417(8965):59–61
  3. Fitzgerald M (2015) Gone fishing—for data. MIT Sloan Manag Rev 56(3):7
  4. Fleisch E, Gassmann O, Leitl M (2014) Einfach mehr ausprobieren. Harvard Bus Manag 36(5):59–63
  5. Gawer A, Tucci CL (2017) Academy of management specialized conference: big data and managing in a digital economy. Call for Submissions. https://www.eiseverywhere.com/file_uploads/c9d569ffbcdd5694dfa9df76df1d12b6_AOMBigDataCallforSubmissions.pdf . Accessed 22 Aug 2017
  6. Geisberger E, Broy M (2015) Living in a networked world: Integrated research agenda Cyber-Physical Systems. Utz Verlag, Munich
  7. Kagermann H, Lukas W-D, Wahlster W (2011) Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution. VDI Nachrichten 2011(13):2
  8. Ross JW, Beath CM, Quaadgras A (2013) You may not need big data after all. Harvard Bus Rev 91(12):90–139
  9. Schein EH (1984) Coming to a new awareness of organizational culture. MIT Sloan Manag Rev 25(2):3–16
  10. Spath D, Ganschar O, Gerlach S, Hämmerle M, Krause T, Schhlund S (2013) Produktionsarbeit der Zukunft—Industrie 4.0. Fraunhofer, Stuttgart
  11. Venkatraman N (1994) IT-enabled business transformation: from automation to business scope redefinition. MIT Sloan Manag Rev 35(2):73–87
  12. Winsborough D, Chamorro-Premuzic T (2016) Talent identification in the digital world: new talent signals and the future of HR assessment. People Strateg 39(2):28–31

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Metadata

Authors
Schneider, P.
Affiliations
University of Cologne (DE)
Corresponding author
Schneider, Paul
ORCID
Schneider, Paul
Venue
Review of Managerial Science
Publisher
Springer Science and Business Media LLC
Published
2018-04-20
Volume
12
Issue
3
Pages
803-848
ISSN
  • 1863-6683 (ISSN-L)
  • 1863-6691
DOI
10.1007/s11846-018-0283-2
OpenAlex
W2802944856
Cited by
345
References
139
Citations by year
2026: 8 · 2025: 27 · 2024: 47 · 2023: 55 · 2022: 51 · 2021: 78 · 2020: 46 · 2019: 26 · 2018: 7
FWCI
32.43
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Review of Managerial Science (publishedVersion)
  • Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Digital Innovation in Industries
Keywords
Industry 4.0, management problems, research agenda, planning and implementation, business models, human resources, value creation networks, expert survey, management research

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