Author:
Andrea SzalavetzInstitute of World Economics, Centre for Economic and Regional Studies, Tóth Kálmán u. 4, Budapest, H-1097 Hungary

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Abstract

In a context of rapid technological change, digital manufacturing technologies bear the promise of enabling significant improvement in operational efficiency. However, evidence indicates that investing in smart digital solutions, per se, does not guarantee performance improvement. Smart factory projects may be derailed, failing to realise the expected operational benefits. This study addresses the gap between academic propositions regarding the unequivocally positive impact of digitalisation and the actual evidence.

It draws on data obtained from 18 interviews with technology providers, managers and front-line workers at 12 Hungarian manufacturing companies. We use the concepts of resource complementarity, task–technology misfit, and technology acceptance as a theoretical lens to categorise the seemingly idiosyncratic and context-specific operational problems.

We find that digital technology implementation produces inferior-to-expectations outcomes unless companies invest in and upgrade their complementary intangible resources. Four distinct, albeit strongly interrelated types of complementarities are identified: managerial, organisational, skill-related and technical complementarities. Managerial capabilities to adjust the organisational structure, improve workflows and develop a strategy to address technical problems are found to be paramount to eliminate task-technology misfit and enhance technology acceptance.

  • Adner, R.Puranam, P.Zhu, F. (2019): What Is Different About Digital Strategy? From Quantitative to Qualitative Change. Strategy Science, 4(4): 253261.

    • Search Google Scholar
    • Export Citation
  • Amundson, S. D. (1998): Relationships between Theory‐Driven Empirical Research in Operations Management and Other Disciplines. Journal of Operations Management, 16(4): 341359.

    • Search Google Scholar
    • Export Citation
  • Anvari, F.Edwards, R.Starr, A. (2010): Evaluation of Overall Equipment Effectiveness Based on Market. Journal of Quality in Maintenance Engineering, 16(3): 256270.

    • Search Google Scholar
    • Export Citation
  • Baldwin, R. (2013): Global Supply Chains: Why They Emerged, Why They Matter, and Where They Are Going. CEPPR Discussion Papers, No. 9103.

    • Search Google Scholar
    • Export Citation
  • Barney, J. B. (1986): Strategic Factor Markets: Expectations, Luck, and Business Strategy. Management Science, 32(10): 12311241.

  • Barney, J. (1991): Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1): 99120.

  • Bendoly, E.Cotteleer, M. J. (2008): Understanding Behavioral Sources of Process Variation Following Enterprise System Deployment. Journal of Operations Management, 26(1): 2344.

    • Search Google Scholar
    • Export Citation
  • Björkdahl, J. (2020): Strategies for Digitalization in Manufacturing Firms. California Management Review, 62(4): 1736.

  • Blackburn, S.Bughin, J.Laberge, L. (2020): How to Restart Your Stalled Digital Transformation. Mckinsey Digital.

  • Braglia, M.Castellano, D.Frosolini, M.Gallo, M. (2018): Overall Material Usage Effectiveness (OME): A Structured Indicator to Measure the Effective Material Usage within Manufacturing Processes. Production Planning & Control, 29(2): 143157.

    • Search Google Scholar
    • Export Citation
  • Braglia, M.Castellano, D.Frosolini, M.Gallo, M.Marrazzini, L. (2020): Revised Overall Labour Effectiveness. International Journal of Productivity and Performance Management, 70(6): 13171335.

    • Search Google Scholar
    • Export Citation
  • Brettel, M.Friederichsen, N.Keller, M.Rosenberg, M. (2014): How Virtualization, Decentralization and Network Building Change the Manufacturing Landscape: An Industry 4.0 Perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1): 3744.

    • Search Google Scholar
    • Export Citation
  • Büchi, G.Cugno, M.Castagnoli, R. (2020): Smart Factory Performance and Industry 4.0. Technological Forecasting and Social Change, 150: 119790.

    • Search Google Scholar
    • Export Citation
  • Buer, S. V.Strandhagen, J. O.Chan, F. T. (2018): The Link between Industry 4.0 and Lean Manufacturing: Mapping Current Research and Establishing a Research Agenda. International Journal of Production Research, 56(8): 29242940.

    • Search Google Scholar
    • Export Citation
  • Colledani, M.Tolio, T.Fischer, A.Iung, B.Lanza, G.Schmitt, R.Váncza, J. (2014): Design and Management of Manufacturing Systems for Production Quality. CIRP Annals-Manufacturing Technology, 63(2): 773796.

    • Search Google Scholar
    • Export Citation
  • Correani, A.de Massis, A.Frattini, F.Petruzzelli, A. M.Natalicchio, A. (2020): Implementing a Digital Strategy: Learning from the Experience of Three Digital Transformation Projects. California Management Review, 62(4): 3756.

    • Search Google Scholar
    • Export Citation
  • Davenport, T. H.Westerman, G. (2018): Why So Many High-Profile Digital Transformations Fail. HBR Digital, March, 9.

  • Davis, F. D.Bagozzi, R. P.Warshaw, P. R. (1989): User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8): 9821003.

    • Search Google Scholar
    • Export Citation
  • Demeter, K. (2003): Manufacturing Strategy and Competitiveness. International Journal of Production Economics, 81–82: 205213.

  • Dobrowolska, M.Knop, L. (2020): Fit to Work in the Business Models of the Industry 4.0 Age. Sustainability, 12(12): 118.

  • Dosi, G. (1988): Sources, Procedures, and Microeconomic Effects of Innovation. Journal of Economic Literature, 26(3): 11201171.

  • Dubey, R.Gunasekaran, A.Childe, S. J.Bryde, D. J.Giannakis, M.Foropon, C.Roubaud, D.Hazen, B. T. (2020): Big Data Analytics and Artificial Intelligence Pathway to Operational Performance Under the Effects of Entrepreneurial Orientation and Environmental Dynamism: A Study of Manufacturing Organisations. International Journal of Production Economics, Elsevier, 226.

    • Search Google Scholar
    • Export Citation
  • EIB (2021): Building a Smart and Green Europe in the COVID-19 Era. European Investment Bank Investment Report 2020/2021 .https://doi.org/10.2867/904099.

    • Search Google Scholar
    • Export Citation
  • Eisenhardt, K. M. (1989): Building Theories from Case Study Research. Academy of Management Review, 14(4): 532550.

  • Eisenhardt, K. M.Graebner, M. E. (2007): Theory Building from Cases: Opportunities and Challenges. Academy of Management Journal, 50(1): 2532.

    • Search Google Scholar
    • Export Citation
  • Eisenhardt, K. M.Graebner, M. E.Sonenshein, S. (2016): Grand Challenges and Inductive Methods: Rigor without Rigor Mortis. Academy of Management Journal, 59(4): 11131123.

    • Search Google Scholar
    • Export Citation
  • Eisenhardt, K. M.Martin, J. A. (2000): Dynamic Capabilities: What Are They? Strategic Management Journal, 21(10–11): 11051121.

    • Search Google Scholar
    • Export Citation
  • Frank, A. G.Dalenogare, L. S.Ayala, N. F. (2019): Industry 4.0 Technologies: Implementation Patterns in Manufacturing Companies. International Journal of Production Economics, 210: 1526.

    • Search Google Scholar
    • Export Citation
  • Freeman, C.Soete, L. (1997): The Economics of Industrial Innovation. (3rd ed.) The MIT Press.

  • Gebauer, H.Fleisch, E.Lamprecht, C.Wortmann, F. (2020): Growth Paths for Overcoming the Digitalization Paradox. Business Horizons, 63(3): 313323.

    • Search Google Scholar
    • Export Citation
  • Gerth, A. B.Peppard, J. (2016): The Dynamics of CIO Derailment: How CIOS Come Undone and How to Avoid It. Business Horizons, 59(1): 6170.

    • Search Google Scholar
    • Export Citation
  • Ghobakhloo, M. (2018): The Future of Manufacturing Industry: A Strategic Roadmap toward Industry 4.0. Journal of Manufacturing Technology Management, 29(6): 910936.

    • Search Google Scholar
    • Export Citation
  • Ghobakhloo, M.Fathi, M. (2020): Corporate Survival in Industry 4.0 Era: The Enabling Role of Lean-Digitized Manufacturing. Journal of Manufacturing Technology Management, 31(1): 130.

    • Search Google Scholar
    • Export Citation
  • Gillani, F.Chatha, K. A.Jajja, M. S. S.Farooq, S. (2020): Implementation of Digital Manufacturing Technologies: Antecedents and Consequences. International Journal of Production Economics, No. 229.

    • Search Google Scholar
    • Export Citation
  • Gioia, D. A.Corley, K. G.Hamilton, A. L. (2013): Seeking Qualitative Rigor in Inductive Research: Notes on the GIOIA Methodology. Organizational Research Methods, 16(1): 1531.

    • Search Google Scholar
    • Export Citation
  • Glaser, B. G.Strauss, A. (1967): Discovery of Grounded Theory. Chicago, IL: Aldine Transaction.

  • Goodhue, D. L.Thompson, R. L. (1995): Task-Technology Fit and Individual Performance. MIS Quarterly, 19(2): 213236.

  • Götz, M.Éltető, A.Sass, M.Vlčková, J.Zacharová, A.Ferencikova, S.Kaczkowska-Serafińska, M. (2020): Effects of Industry 4.0 on FDI in the Visegrád Countries. Final report. Vistula University. https://industry40fdi.com/.

    • Search Google Scholar
    • Export Citation
  • Gupta, S. K.Gunasekaran, A.Antony, J.Gupta, S.Bag, S.Roubaud, D. (2019): Systematic Literature Review of Project Failures: Current Trends and Scope for Future Research. Computers & Industrial Engineering, 127: 274285.

    • Search Google Scholar
    • Export Citation
  • Hirsch-Kreinsen, H. (2016): Digitization of Industrial Work: Development Paths and Prospects. Journal for Labour Market Research, 49(1): 114.

    • Search Google Scholar
    • Export Citation
  • Hortoványi, L.Szabó, Zs. R.Nagy, S. Gy.Stukovszky, T. (2020): A digitális transzformáció munkahelyekre gyakorolt hatásai – Felkészültek-e a hazai vállalatok a benne rejlő nagy lehetőségre (vagy a veszélyekre)? (The Impact of Digital Transformation on Workplaces – Are Hungarian Companies Ready for the Inherent Great Opportunity (or Threat)? Külgazdaság, 64(3–4): 7396.

    • Search Google Scholar
    • Export Citation
  • Howard, M. C.Rose, J. C. (2019): Refining and Extending Task-Technology Fit Theory: Creation of Two Task–Technology Fit Scales and Empirical Clarification of the Construct. Information & Management, 56(6): 103134.

    • Search Google Scholar
    • Export Citation
  • Kagermann, H.Helbig, J.Hellinger, A.Wahlster, W. (2013): Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0: Securing the Future of German Manufacturing Industry. Final Report of the Industrie 4.0 Working Group. Frankfurt/Main: Forschungsunion.

    • Search Google Scholar
    • Export Citation
  • Kallinikos, J. (2011): Governing through Technology: Information Artefacts and Social Practice. London: Palgrave Macmillan.

  • Kamble, S. S.Gunasekaran, A.Sharma, R. (2018): Analysis of the Driving and Dependence Power of Barriers to Adopt Industry 4.0 in Indian Manufacturing Industry. Computers in Industry, 101: 107119.

    • Search Google Scholar
    • Export Citation
  • Lee, Y.Kozar, K. A.Larsen, K. R. (2003): The Technology Acceptance Model: Past, Present, and Future. Communications of the Association for Information Systems, 12(1): 752780.

    • Search Google Scholar
    • Export Citation
  • Mikalef, P.Boura, M.Lekakos, G.Krogstie, J. (2019): Big Data Analytics and Firm Performance: Findings from a Mixed-Method Approach. Journal of Business Research, 98: 261276.

    • Search Google Scholar
    • Export Citation
  • Mikalef, P.Krogstie, J.Pappas, I. O.Pavlou, P. (2020): Exploring the Relationship Between Big Data Analytics Capability and Competitive Performance: The Mediating Roles of Dynamic and Operational Capabilities. Information & Management, 57(2): 103169.

    • Search Google Scholar
    • Export Citation
  • Milgrom, P.Roberts, J. (1995): Complementarities and Fit Strategy, Structure, and Organizational Change in Manufacturing. Journal of Accounting and Economics, 19(2–3): 179208.

    • Search Google Scholar
    • Export Citation
  • Monostori, L. (2015): Cyber-Physical Production Systems: Roots from Manufacturing Science and Technology. At-Automatisierungstechnik, 63(10): 766776.

    • Search Google Scholar
    • Export Citation
  • Monostori, L.Kádár, B.Bauernhansl, T.Kondoh, S.Kumara, S.Reinhart, G.Sauer, O.Schuh, G.Sihn, W.Ueda, K. (2016): Cyber-Physical Systems in Manufacturing. CIRP Annals Manufacturing Technology, 65(2): 621641.

    • Search Google Scholar
    • Export Citation
  • Negrão, L. L. L.Godinho Filho, M.Marodin, G. (2017): Lean Practices and Their Effect on Performance: A Literature Review. Production Planning & Control, 28(1): 3356.

    • Search Google Scholar
    • Export Citation
  • Ohno, T. (1988): Toyota Production System: Beyond Large-Scale Production .Boca Raton, FL: CRC Press.

  • Patton, M. Q. (1990): Qualitative Evaluation and Research Methods. Newbury Park, CA: Sage Publications.

  • Raj, A.Dwivedi, G.Sharma, A.de Sousa Jabbour, A. B. L.Rajak, S. (2020): Barriers to the Adoption of Industry 4.0 Technologies in the Manufacturing Sector: An Inter-Country Comparative Perspective. International Journal of Production Economics, 224.

    • Search Google Scholar
    • Export Citation
  • Schilke, O.Hu, S.Helfat, C. E. (2018): Quo Vadis, Dynamic Capabilities? A Content-Analytic Review of the Current State of Knowledge and Recommendations for Future Research. Academy of Management Annals, 12(1): 390439.

    • Search Google Scholar
    • Export Citation
  • Schwab, K. (2016): The Fourth Industrial Revolution .Geneva: World Economic Forum.

  • Simões, A. C.Soares, A. L.Barros, A. C. (2020): Factors Influencing the Intention of Managers to Adopt Collaborative Robots (Cobots) in Manufacturing Organizations. Journal of Engineering and Technology Management, 57: 101574.

    • Search Google Scholar
    • Export Citation
  • Sony, M.Naik, S. (2020): Critical Factors for the Successful Implementation of Industry 4.0: A Review and Future Research Direction. Production Planning & Control, 31(10): 799815.

    • Search Google Scholar
    • Export Citation
  • Sousa, R.Voss, C. A. (2008): Contingency Research in Operations Management Practices. Journal of Operations Management, 26(6): 697713.

    • Search Google Scholar
    • Export Citation
  • Stein, V.Scholz, T. M. (2020): Manufacturing Revolution Boosts People Issues: The Evolutionary Need for ‘Human‐Automation Resource Management' in Smart Factories. European Management Review, 17(2): 391406.

    • Search Google Scholar
    • Export Citation
  • Szalavetz, A. (2017): Industry 4.0. in ’Factory Economies’. In: Galgóczi, B.Drahokoupil, J. (eds): Condemned to Be Left Behind? Can Central Eastern Europe Emerge from its Low-Wage FDI-Based Growth Model? Brussels: ETUI, pp. 123142.

    • Search Google Scholar
    • Export Citation
  • Szalavetz, A. (2019): Digitalisation, Automation and Upgrading in Global Value Chains – Factory Economy Actors versus Lead Companies. Post-Communist Economies, 31(5): 646670.

    • Search Google Scholar
    • Export Citation
  • Szalavetz, A. (2020): Digital Transformation and Local Manufacturing Subsidiaries in Central and Eastern Europe: Changing Prospects for Upgrading? In: Drahokoupil, J. (ed.): The Challenge of Digital Transformation in the Automotive Industry. Jobs, Upgrading, and the Prospects of Development .Brussels: ETUI, pp. 4764.

    • Search Google Scholar
    • Export Citation
  • Szalavetz, A.Somosi, S. (2019): Ipar 4.0-technológiák és a magyarországi fejlődés-felzárkózás hajtóerőinek megváltozása – gazdaságpolitikai tanulságok (Impact of Industry 4.0 Technologies on the Engines of Development and Catch-Up in Hungary – Some Lessons for Economic Policy). Külgazdaság, 63(3–4): 6693.

    • Search Google Scholar
    • Export Citation
  • Szász, L.Demeter, K.Rácz, B. G.Losonci, D. (2020): Industry 4.0: A Review and Analysis of Contingency and Performance Effects. Journal of Manufacturing Technology Management, 32(3): 667694.

    • Search Google Scholar
    • Export Citation
  • Teece, D. J. (2018): Profiting from Innovation in the Digital Economy: Enabling Technologies, Standards, and Licensing Models in the Wireless World. Research Policy, 47(8): 13671387.

    • Search Google Scholar
    • Export Citation
  • Teece, D. J.Linden, G. (2017): Business Models, Value Capture, and the Digital Enterprise. Journal of Organization Design, 6(1): 114.

    • Search Google Scholar
    • Export Citation
  • Teece, D. J.Pisano, G.Shuen, A. (1997): Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7): 509533.

    • Search Google Scholar
    • Export Citation
  • Tortorella, G. L.Giglio, R.Van Dun, D. H. (2019): Industry 4.0 Adoption as a Moderator of the Impact of Lean Production Practices on Operational Performance Improvement. International Journal of Operations & Production Management, 39(6/7/8): 860886.

    • Search Google Scholar
    • Export Citation
  • Váncza, J.Monostori, L.Lutters, D.Kumara, S. R.Tseng, M.Valckenaers, P.Van Brussel, H. (2011): Cooperative and Responsive Manufacturing Enterprises. CIRP Annals, 60(2): 797820.

    • Search Google Scholar
    • Export Citation
  • Venkatesh, V.Morris, M. G.Davis, G. B.Davis, F. D. (2003): User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3): 425478.

    • Search Google Scholar
    • Export Citation
  • Vial, G. (2019): Understanding Digital Transformation: A Review and a Research Agenda. The Journal of Strategic Information Systems, 28(2): 118144.

    • Search Google Scholar
    • Export Citation
  • Warner, K. S.Wäger, M. (2019): Building Dynamic Capabilities for Digital Transformation: An Ongoing Process of Strategic Renewal. Long Range Planning, 52(3): 326349.

    • Search Google Scholar
    • Export Citation
  • Welch, C.Piekkari, R.Plakoyiannaki, E.Paavilainen-Mäntymäki, E. (2011): Theorising from Case Studies: Towards a Pluralist Future for International Business Research. Journal of International Business Studies, 42(5): 740762.

    • Search Google Scholar
    • Export Citation
  • Wen, X.Cao, H.Hon, B.Chen, E.Li, H. (2021): Energy Value Mapping: A Novel Lean Method to Integrate Energy Efficiency into Production Management. Energy, 217.

    • Search Google Scholar
    • Export Citation
  • Wernerfelt, B. (1984): A Resource‐Based View of the Firm. Strategic Management Journal, 5(2): 171180.

  • Womack, J. P.Jones, D. T.Roos, D. (1990): The Machine that Changed the World .New York: Rawson Associates.

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Editor(s)-in-Chief: Prof. Dr. Mihályi, Péter

Editor(s): Ványai, Judit

Editorial Board

  • Ádám Török (Chairman) / University of Pannonia; Budapest University of Technology and Economics
  • Edina Berlinger / Corvinus University of Budapest, Department of Finance
  • Beáta Farkas / Faculty of Economics and Business Administration, University of Szeged
  • Péter Halmai / Budapest University of Technology and Economics; National University of Public Service
  • István Kónya / Institute of Economics Centre for Regional and Economic Studies, University of Pécs
  • János Köllő / Institute of Economics Centre for Regional and Economic Studies
  • István Magas / Corvinus University of Budapest, Department of World Economy; University of Physical Education, Department. of Sports and Decision Sciences
 

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  • Ǻslund, Anders, Institute of International Economics, Washington (USA)
  • Kolodko, Grzegorz, Kozminski University, Warsaw (Poland)
  • Mau, Vladimir, Academy of National Economy (Russia)
  • Messerlin, Patrick A, Groupe d’Economie Mondiale (France)
  • Saul Estrin, London School of Economics (UK)
  • Wagener, Hans-Jürgen, Europa Universität Viadrina (Germany)

Corvinus University of Budapest
Department of Economics
Fővám tér 8 Budapest, H-1093, Hungary

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2021  
Web of Science  
Total Cites
WoS
285
Journal Impact Factor 0,939
Rank by Impact Factor Economics 326/379
Impact Factor
without
Journal Self Cites
0,646
5 Year
Impact Factor
0,740
Journal Citation Indicator 0,34
Rank by Journal Citation Indicator Economics 389/570
Scimago  
Scimago
H-index
15
Scimago
Journal Rank
0,285
Scimago Quartile Score Economics and Econometrics (Q3)
Scopus  
Scopus
Cite Score
1,4
Scopus
CIte Score Rank
Economics and Econometrics 436/696 (Q3)
Scopus
SNIP
0,507

2020  
Total Cites 275
WoS
Journal
Impact Factor
0,875
Rank by Economics 325/377 (Q4)
Impact Factor  
Impact Factor 0,534
without
Journal Self Cites
5 Year 0,500
Impact Factor
Journal  0,38
Citation Indicator  
Rank by Journal  Economics 347/549 (Q3)
Citation Indicator   
Citable 37
Items
Total 37
Articles
Total 0
Reviews
Scimago 13
H-index
Scimago 0,292
Journal Rank
Scimago Economics and Econometrics Q3
Quartile Score  
Scopus 225/166=1,4
Scite Score  
Scopus Economics and Econometrics 392/661 (Q3)
Scite Score Rank  
Scopus 0,668
SNIP  
Days from  289
submission  
to acceptance  
Days from  447
acceptance  
to publication  

2019  
Total Cites
WoS
212
Impact Factor 0,914
Impact Factor
without
Journal Self Cites
0,728
5 Year
Impact Factor
0,650
Immediacy
Index
0,156
Citable
Items
45
Total
Articles
45
Total
Reviews
0
Cited
Half-Life
3,9
Citing
Half-Life
9,5
Eigenfactor
Score
0,00015
Article Influence
Score
0,052
% Articles
in
Citable Items
100,00
Normalized
Eigenfactor
0,01891
Average
IF
Percentile
28,437
Scimago
H-index
12
Scimago
Journal Rank
0,439
Scopus
Scite Score
214/165=1,3
Scopus
Scite Score Rank
Economics and Econometrics 355/637 (Q3)
Scopus
SNIP
0,989

 

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Acta Oeconomica
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