IDEAS home Printed from https://ideas.repec.org/a/kap/jtecht/v45y2020i1d10.1007_s10961-018-9693-1.html
   My bibliography  Save this article

Understanding the determinants of novel technology adoption among teachers: the case of 3D printing

Author

Listed:
  • Patrick Holzmann

    (Alpen-Adria University Klagenfurt)

  • Erich J. Schwarz

    (Alpen-Adria University Klagenfurt)

  • David B. Audretsch

    (Indiana University)

Abstract

3D printing consists of novel technologies that raised high expectations about their future impact on economy and society. However, despite major efforts of manufacturers and governments to promote the technology, the adoption rate is still low. Among others, the absence of appropriate technology education is considered a major hurdle for adoption. The main goal of this paper is to investigate the behavioral intention of high school teachers to use these novel technologies in class. We propose applying the unified theory of acceptance and use of technology by integrating anxiety and attitude toward using technology. Data from 103 high school teachers is utilized to empirically validate the conceptual model. The results show that performance expectancy, facilitating conditions, anxiety, and attitude toward using technology significantly affect the adoption of novel technology. Contrary to expectations, effort expectancy and social influence do not affect the behavioral intention. Thus, the study adds to prior knowledge by underlining the need for further investigation of the relevance of anxiety and attitude toward using a novel technology in individual adoption processes.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jtecht:v:45:y:2020:i:1:d:10.1007_s10961-018-9693-1
    DOI: 10.1007/s10961-018-9693-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10961-018-9693-1
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s10961-018-9693-1?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. 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.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Yeh, Ching-Chiang & Chen, Yi-Fan, 2018. "Critical success factors for adoption of 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 209-216.
    4. 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.
    5. José Albors & José Hervas & Antonio Hidalgo, 2006. "Analysing High Technology Diffusion and Public Transference Programs: The Case of the European Game Program," The Journal of Technology Transfer, Springer, vol. 31(6), pages 647-661, November.
    6. 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.
    7. Jiang, Ruth & Kleer, Robin & Piller, Frank T., 2017. "Predicting the future of additive manufacturing: A Delphi study on economic and societal implications of 3D printing for 2030," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 84-97.
    8. Despeisse, M. & Baumers, M. & Brown, P. & Charnley, F. & Ford, S.J. & Garmulewicz, A. & Knowles, S. & Minshall, T.H.W. & Mortara, L. & Reed-Tsochas, F.P. & Rowley, J., 2017. "Unlocking value for a circular economy through 3D printing: A research agenda," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 75-84.
    9. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    10. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    11. 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.
    12. Klauss, Rudi, 2000. "Technology Transfer in Education--Application to Developing Countries," The Journal of Technology Transfer, Springer, vol. 25(3), pages 277-287, October.
    13. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    14. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "A new approach to measuring technology with an application to the shape of the diffusion curves," The Journal of Technology Transfer, Springer, vol. 33(2), pages 187-207, April.
    15. Weller, Christian & Kleer, Robin & Piller, Frank T., 2015. "Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited," International Journal of Production Economics, Elsevier, vol. 164(C), pages 43-56.
    16. Rayna, Thierry & Striukova, Ludmila, 2016. "From rapid prototyping to home fabrication: How 3D printing is changing business model innovation," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 214-224.
    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. José-María Romero-Rodríguez & Santiago Alonso-García & José-Antonio Marín-Marín & Gerardo Gómez-García, 2020. "Considerations on the Implications of the Internet of Things in Spanish Universities: The Usefulness Perceived by Professors," Future Internet, MDPI, vol. 12(8), pages 1-13, July.
    2. Lim Lai Wah & Harwati Hashim, 2021. "Determining Pre-Service Teachers’ Intention of Using Technology for Teaching English as a Second Language (ESL)," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    3. Holzmann, Patrick & Breitenecker, Robert J. & Schwarz, Erich J. & Gregori, Patrick, 2020. "Business model design for novel technologies in nascent industries: An investigation of 3D printing service providers," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    4. Jinkyo Shin & Md Alamgir Mollah & Jaehyeok Choi, 2023. "Sustainability and Organizational Performance in South Korea: The Effect of Digital Leadership on Digital Culture and Employees’ Digital Capabilities," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    5. Tobias Schultheiss & Uschi Backes-Gellner, 2024. "Does updating education curricula accelerate technology adoption in the workplace? Evidence from dual vocational education and training curricula in Switzerland," The Journal of Technology Transfer, Springer, vol. 49(1), pages 191-235, February.
    6. Tommy Tanu Wijaya & Yiming Cao & Robert Weinhandl & Eri Yusron & Zsolt Lavicza, 2022. "Applying the UTAUT Model to Understand Factors Affecting Micro-Lecture Usage by Mathematics Teachers in China," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
    7. James A. Cunningham & Nadja Damij & Dolores Modic & Femi Olan, 2023. "MSME technology adoption, entrepreneurial mindset and value creation: a configurational approach," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1574-1598, October.
    8. Gabrielė Stupurienė & Tatjana Jevsikova & Anita Juškevičienė, 2022. "Solving Ecological Problems through Physical Computing to Ensure Gender Balance in STEM Education," Sustainability, MDPI, vol. 14(9), pages 1-16, April.

    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. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    2. Naghshineh, Bardia & Ribeiro, André & Jacinto, Celeste & Carvalho, Helena, 2021. "Social impacts of additive manufacturing: A stakeholder-driven framework," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    3. 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).
    4. Maresch, Daniela & Gartner, Johannes, 2020. "Make disruptive technological change happen - The case of additive manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    5. Holzmann, Patrick & Breitenecker, Robert J. & Schwarz, Erich J. & Gregori, Patrick, 2020. "Business model design for novel technologies in nascent industries: An investigation of 3D printing service providers," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    6. Rayna, Thierry & Striukova, Ludmila, 2021. "Assessing the effect of 3D printing technologies on entrepreneurship: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    7. Yeh, Ching-Chiang & Chen, Yi-Fan, 2018. "Critical success factors for adoption of 3D printing," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 209-216.
    8. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    9. Kleer, Robin & Piller, Frank T., 2019. "Local manufacturing and structural shifts in competition: Market dynamics of additive manufacturing," International Journal of Production Economics, Elsevier, vol. 216(C), pages 23-34.
    10. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    11. Marco Savastano & Carlo Amendola & Francesco Bellini & Fabrizio D’Ascenzo, 2019. "Contextual Impacts on Industrial Processes Brought by the Digital Transformation of Manufacturing: A Systematic Review," Sustainability, MDPI, vol. 11(3), pages 1-38, February.
    12. Ingrid Gottschalk & Stefan Kirn, 2013. "Cloud Computing As a Tool for Enhancing Ecological Goals?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(5), pages 299-313, October.
    13. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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).

    More about this item

    Keywords

    Technology adoption; Technology acceptance; Novel technology; Behavioral intention; UTAUT; 3D printing;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M13 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - New Firms; Startups
    • I20 - Health, Education, and Welfare - - Education - - - General
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

    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:kap:jtecht:v:45:y:2020:i:1:d:10.1007_s10961-018-9693-1. 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.