IDEAS home Printed from https://ideas.repec.org/a/spr/jbecon/v87y2017i1d10.1007_s11573-016-0806-8.html
   My bibliography  Save this article

Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants

Author

Listed:
  • Katrin Oettmeier

    (University of St.Gallen)

  • Erik Hofmann

    (University of St.Gallen)

Abstract

Despite experiencing immense growth in the past decade, additive manufacturing (AM) technologies—colloquially known as 3D-printing—are still rarely used in industrial fabrication. Being at the interface between technology, innovation, behavioral science and operations management research, this paper identifies multifaceted factors that determine the decision to adopt AM technologies for the production of industrial parts. A review of the relevant literature revealed eight potential factors. These can be classified into four interdisciplinary categories: technology-related factors, firm-related-factors, market structure-related factors, and supply chain-related factors. Special focus is placed on the impact of supply chain-related issues, because there are indicatives that these aspects have an influence on the decision to adopt AM technologies since AM may offer distinct opportunities for both, the supply- and demand-side of a firm’s operations. No work in the field of manufacturing technology adoption has examined the role of such inter-organizational factors before. The results of an empirical study among 195 firms indicate that demand-side benefits and compatibility are the main determinants of AM technology adoption. This suggests that not only intra- but also inter-organizational factors should be considered when investigating the adoption of technological innovations. Furthermore, it is carved out that the adoption of AM technologies has an interdisciplinary nature.

Suggested Citation

  • Katrin Oettmeier & Erik Hofmann, 2017. "Additive manufacturing technology adoption: an empirical analysis of general and supply chain-related determinants," Journal of Business Economics, Springer, vol. 87(1), pages 97-124, January.
    • Handle: RePEc:spr:jbecon:v:87:y:2017:i:1:d:10.1007_s11573-016-0806-8
    DOI: 10.1007/s11573-016-0806-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11573-016-0806-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11573-016-0806-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ray, George F., 1969. "The diffusion of new processes," Intereconomics – Review of European Economic Policy (1966 - 1988), ZBW - Leibniz Information Centre for Economics, vol. 4(11), pages 356-358.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Yap, Cs & Soh, Cpp & Raman, Ks, 1992. "Information systems success factors in small business," Omega, Elsevier, vol. 20(5-6), pages 597-609.
    6. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    7. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    8. Christopher Sürie & Michael Wagner, 2008. "Supply Chain Analysis," Springer Books, in: Hartmut Stadtler & Christoph Kilger (ed.), Supply Chain Management and Advanced Planning, edition 4, chapter 2, pages 37-63, Springer.
    9. Mellor, Stephen & Hao, Liang & Zhang, David, 2014. "Additive manufacturing: A framework for implementation," International Journal of Production Economics, Elsevier, vol. 149(C), pages 194-201.
    10. Wickham Skinner, 1984. "Operations Technology: Blind Spot in Strategic Management," Interfaces, INFORMS, vol. 14(1), pages 116-125, February.
    11. van Everdingen, Yvonne & Wierenga, Berend, 2002. "Intra-firm Adoption Decisions:: Role of Inter-firm and Intra-firm Variables," European Management Journal, Elsevier, vol. 20(6), pages 649-663, December.
    12. Stephan M. Wagner, 2008. "Cost management practices for supply chain management: an exploratory analysis," International Journal of Services and Operations Management, Inderscience Enterprises Ltd, vol. 4(3), pages 296-320.
    13. Spyros Arvanitis & Heinz Hollenstein, 2001. "The Determinants Of The Adoption Of Advanced Manufacturing Technology," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 10(5), pages 377-414.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    2. Naghshineh, Bardia & Carvalho, Helena, 2022. "The implications of additive manufacturing technology adoption for supply chain resilience: A systematic search and review," International Journal of Production Economics, Elsevier, vol. 247(C).
    3. Inês A. Ferreira & Radu Godina & Helena Carvalho, 2020. "Waste Valorization through Additive Manufacturing in an Industrial Symbiosis Setting," Sustainability, MDPI, vol. 13(1), pages 1-21, December.
    4. Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Alghafes, Rasha & Badghish, Saeed, 2023. "Different strokes for different folks: Comparative analysis of 3D printing in large, medium and small firms," Technovation, Elsevier, vol. 125(C).
    5. Zhengxin Wang & Minghuan Shou & Shuai Wang & Ruinan Dai & Keqian Wang, 2019. "An Empirical Study on the Key Factors of Intelligent Upgrade of Small and Medium-sized Enterprises in China," Sustainability, MDPI, vol. 11(3), pages 1-16, January.
    6. Victor Verboeket & Harold Krikke, 2019. "Additive Manufacturing: A Game Changer in Supply Chain Design," Logistics, MDPI, vol. 3(2), pages 1-27, April.
    7. Germán Arana-Landín & Naiara Uriarte-Gallastegi & Beñat Landeta-Manzano & Iker Laskurain-Iturbe, 2023. "The Contribution of Lean Management—Industry 4.0 Technologies to Improving Energy Efficiency," Energies, MDPI, vol. 16(5), pages 1-19, February.
    8. Stornelli, Aldo & Ozcan, Sercan & Simms, Christopher, 2021. "Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types," Research Policy, Elsevier, vol. 50(6).
    9. Sreenivasan Jayashree & Mohammad Nurul Hassan Reza & Chinnasamy Agamudai Nambi Malarvizhi & Hesti Maheswari & Zohre Hosseini & Azilah Kasim, 2021. "The Impact of Technological Innovation on Industry 4.0 Implementation and Sustainability: An Empirical Study on Malaysian Small and Medium Sized Enterprises," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    10. Nazanin Hosseini Arian & Alireza Pooya & Fariborz Rahimnia & Ali Sibevei, 2021. "Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach," Operations Management Research, Springer, vol. 14(3), pages 467-493, December.
    11. Inês Ribeiro & Florinda Matos & Celeste Jacinto & Hafiz Salman & Gonçalo Cardeal & Helena Carvalho & Radu Godina & Paulo Peças, 2020. "Framework for Life Cycle Sustainability Assessment of Additive Manufacturing," Sustainability, MDPI, vol. 12(3), pages 1-22, January.
    12. Ukobitz, Desirée Valeria & Faullant, Rita, 2022. "The relative impact of isomorphic pressures on the adoption of radical technology: Evidence from 3D printing," Technovation, Elsevier, vol. 113(C).
    13. Iva Vuksanović Herceg & Vukašin Kuč & Veljko M. Mijušković & Tomislav Herceg, 2020. "Challenges and Driving Forces for Industry 4.0 Implementation," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    14. Robert B. Handfield & James Aitken & Neil Turner & Tillmann Boehme & Cecil Bozarth, 2022. "Assessing Adoption Factors for Additive Manufacturing: Insights from Case Studies," Logistics, MDPI, vol. 6(2), pages 1-22, June.
    15. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
    16. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    17. Roland Zs. Szabo & Iva Vuksanović Herceg & Robert Hanák & Lilla Hortovanyi & Anita Romanová & Marian Mocan & Dragan Djuričin, 2020. "Industry 4.0 Implementation in B2B Companies: Cross-Country Empirical Evidence on Digital Transformation in the CEE Region," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    18. Haug, Anders & Wickstrøm, Kent Adsbøll & Stentoft, Jan & Philipsen, Kristian, 2023. "Adoption of additive manufacturing: A survey of the role of knowledge networks and maturity in small and medium-sized Danish production firms," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Brodny, Jarosław & Tutak, Magdalena, 2023. "Assessing the level of digital maturity in the Three Seas Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    20. Leonilde Varela & Adriana Araújo & Paulo Ávila & Hélio Castro & Goran Putnik, 2019. "Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability," Sustainability, MDPI, vol. 11(5), pages 1-19, March.
    21. Diri Kenger, Zülal & Koç, Çağrı & Özceylan, Eren, 2021. "Integrated disassembly line balancing and routing problem with mobile additive manufacturing," International Journal of Production Economics, Elsevier, vol. 235(C).
    22. Calabrese, Armando & Costa, Roberta & Tiburzi, Luigi & Brem, Alexander, 2023. "Merging two revolutions: A human-artificial intelligence method to study how sustainability and Industry 4.0 are intertwined," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    23. Matthias M. Meyer & Andreas H. Glas & Michael Eßig, 2021. "Systematic review of sourcing and 3D printing: make-or-buy decisions in industrial buyer–supplier relationships," Management Review Quarterly, Springer, vol. 71(4), pages 723-752, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giotopoulos, Ioannis & Kontolaimou, Alexandra & Korra, Efthymia & Tsakanikas, Aggelos, 2017. "What drives ICT adoption by SMEs? Evidence from a large-scale survey in Greece," Journal of Business Research, Elsevier, vol. 81(C), pages 60-69.
    2. Schniederjans, Dara G., 2017. "Adoption of 3D-printing technologies in manufacturing: A survey analysis," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 287-298.
    3. Patrick Holzmann & Erich J. Schwarz & David B. Audretsch, 2020. "Understanding the determinants of novel technology adoption among teachers: the case of 3D printing," The Journal of Technology Transfer, Springer, vol. 45(1), pages 259-275, February.
    4. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    5. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    6. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    7. Bierstaker, James & Janvrin, Diane & Lowe, D. Jordan, 2014. "What factors influence auditors' use of computer-assisted audit techniques?," Advances in accounting, Elsevier, vol. 30(1), pages 67-74.
    8. Sabi, Humphrey M. & Uzoka, Faith-Michael E. & Langmia, Kehbuma & Njeh, Felix N., 2016. "Conceptualizing a model for adoption of cloud computing in education," International Journal of Information Management, Elsevier, vol. 36(2), pages 183-191.
    9. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    10. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    11. Humphrey M. Sabi & Faith-Michael E. Uzoka & Kehbuma Langmia & Felix N. Njeh & Clive K. Tsuma, 0. "A cross-country model of contextual factors impacting cloud computing adoption at universities in sub-Saharan Africa," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    12. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    13. van Hoesel, C.P.M. & Goossens, J.H.M. & Kroon, L.G., 2001. "A branch-and-cut approach for solving line planning problems," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    14. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    15. Donglin Han & Huiying (Cynthia) Hou & Hao Wu & Joseph H. K. Lai, 2021. "Modelling Tourists’ Acceptance of Hotel Experience-Enhancement Smart Technologies," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    16. Masud Rana & Gazi Md. Shakhawat Hossain & Maruf Hasan, 2020. "Effectiveness of entrepreneurship skill development training – A case study at RUDSETI in Chitradurga District, Karnataka," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 11(3), pages 30-44, September.
    17. Jaydeep Mukherjee, 2016. "A comprehensive framework for adoption of mobile broadband services in Indian cities," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(1), pages 9-25, January.
    18. Nripendra P. Rana & Yogesh K. Dwivedi & Banita Lal & Michael D. Williams & Marc Clement, 2017. "Citizens’ adoption of an electronic government system: towards a unified view," Information Systems Frontiers, Springer, vol. 19(3), pages 549-568, June.
    19. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    20. Gartner, Johannes & Fink, Matthias & Maresch, Daniela, 2022. "The Role of Fear of Missing Out and Experience in the Formation of SME Decision Makers’ Intentions to Adopt New Manufacturing Technologies," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

    More about this item

    Keywords

    Additive manufacturing; Supply chain; Technology adoption; Adoption decisions;
    All these keywords.

    JEL classification:

    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jbecon:v:87:y:2017:i:1:d:10.1007_s11573-016-0806-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.