Levent ÇALLI, Nihal SÜTÜTEMİZ, Büşra ALMA ÇALLI

THE EFFECTS OF PERCEIVED BARRIERS AND PERCEIVED ENJOYMENT ON USERS’ INTENTION TO USE 3D PRINTER TECHNOLOGY

The main purpose of this study is to investigate the intention of consumers to use desktop 3D printers with taking into account the dimensions of perceived barriers and enjoyment. This study contributes to the early understanding of Turkish consumers’ intention to use desktop 3D printers. According to the results of the research; the effect of the perceived enjoyment on intention to use of 3D Printer was positive and the effect of the perceived barrier on intention to use was negative. When the results are anticipated in terms of 3D Printer ownership; the perceived enjoyment in user group who have 3D Printer was lower than the group who do not have, whereas risk perceptions stems from barriers was higher for this group.

Anahtar Kelimeler:

3D Printer, Perceived Barriers, Perceived Enjoyment, Additive Manufacturing, Third Industrial Revolution

THE EFFECTS OF PERCEIVED BARRIERS AND PERCEIVED ENJOYMENT ON USERS’ INTENTION TO USE 3D PRINTER TECHNOLOGY

Keywords:

3D Printer, Perceived Barriers, Perceived Enjoyment, Additive Manufacturing, Third Industrial Revolution,

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Adams, S. (2017). HALF MILLION 3D PRINTERS SOLD IN 2017. Retrieved from https://3dprintingindustry.com/news/half-million-3d-printers-sold-2017-track-100m-sold-2030-131642/ Alliedmarketresearch.com. (2018). World Personal 3D Printers Market - Opportunities and Forecasts, 2017-2023. Retrieved from https://www.alliedmarketresearch.com/personal-3d-printers-market Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology : A Comparison of Two Theoretical Models Author ( s ): Fred D . Davis , Richard P . Bagozzi and Paul R . Warshaw Published by : INFORMS Stable URL : http://www.jstor.org/stable/2632151 REFERENCES Linked references ar. Management Science, 35(8), 982–1003. Byrne, B. M. (2010). Structural Equation Modeling with AMOS: Basic Concepts. Applications and Programming. Calli, L., Balcikanli, C., Calli, F., Cebeci, H. I., & Seymen, O. F. (2013). Identifying factors that contribute to the satisfaction of students in e-learning. Turkish Online Journal of Distance Education, 14(1), 85–101. Clark, L., Calli, L., & Calli, F. (2014). 3D printing and co-creation of value. 12th International Conference E-Society 2014, (Kharif 2012). Retrieved from http://eprints.port.ac.uk/14538/1/IADIS_Conference_2014_Final.pdf Davis, F. D. (1989). Perceived Usefulness , Perceived Ease of Use , and User Acceptance of. Management Information System Research Center, 13(3), 319–340. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. American Marketing Association, 18(1), 39–50. https://doi.org/http://www.jstor.org Hair, J. F., C. Black, W., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis, 7th Edition. Decision Support Systems (Vol. 38). Pearson, London. Harm-Jan, S., Ulusemre, T., & Xin, F. (2018). Technology Strategy and Developments in Consumer 3D Printers Technology Strategy and Developments in Consumer 3D Printers, (June), 0–15. Im, I., Kim, Y., & Han, H. J. (2008). The effects of perceived risk and technology type on users’ acceptance of technologies. Information and Management, 45(1), 1–9. https://doi.org/10.1016/j.im.2007.03.005 Leering, R. (2017). Economic and Financial Analysis 3D printing: a threat to global trade. https://doi.org/10.1016/B978-0-12-398358-9.00023-9 Lu, J., Yu, C. S., Liu, C., & Yao, J. E. (2003). Technology acceptance model for wireless Internet. Internet Research, 13(3), 206–222. https://doi.org/10.1108/10662240310478222 Malhotra, N. K. (2004). Marketing Research. Prentice Hall, New Jersey. Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1–13. https://doi.org/10.1016/j.ijinfomgt.2013.06.002 Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Research, 14(3), 224–235. https://doi.org/10.1108/10662240410542652 Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovation: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5–14. https://doi.org/10.1108/EUM0000000002542 Schumacker Randall E, & Richard G.Lomax. (2004). A Beginner’s to Structural Equation Modeling, 2nd ed. Rayna, T., & Striukova, L. (2016). From rapid prototyping to home fabrication: How 3D printing is changing business model innovation. Technological Forecasting and Social Change, 102, 214–224. https://doi.org/10.1016/j.techfore.2015.07.023 Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. Methods of Psychological Research Online, 8(2), 23–74. https://doi.org/10.1002/0470010940 Schniederjans, D. G. (2017). Adoption of 3D-printing technologies in manufacturing: A survey analysis. International Journal of Production Economics, 183, 287–298. https://doi.org/10.1016/j.ijpe.2016.11.008 Schniederjans, D. G., & Yalcin, M. G. (2018). Perception of 3D-printing: analysis of manufacturing use and adoption. Rapid Prototyping Journal, 24(3), 510–520. https://doi.org/10.1108/RPJ-04-2017-0056 Sun, H., & Zhang, P. (2006). Causal Relationships between Perceived Enjoyment and Perceived Ease of Use: An Alternative Approach. Journal of the Association for Information Systems, 7(9), 618–645. https://doi.org/10.1016/j.chb.2010.06.020 The Economist. (2012). A third industrial revolution. Retrieved from https://www.economist.com/special-report/2012/04/21/a-third-industrial-revolution Venkatesh, V., Speier, C., & Morris, M. G. (2002). User acceptance enablers in individual decision making about technology: Toward an integrated model. Decision Sciences, 33(2), 297–316. https://doi.org/10.1111/j.15405915.2002.tb01646.x/doi/10.1111/j.15405915.2002.tb01646.x/pdf Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information and Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011 Wallenius, V., & Decade, N. (2014). 3D Printing and Retail. Helsinki Metropolia University of Applied Sciences. Wang, Q., Sun, X., Cobb, S., Lawson, G., & Sharples, S. (2016). 3D printing system: an innovation for small-scale manufacturing in home settings? – early adopters of 3D printing systems in China. International Journal of Production Research, 54(20), 6017–6032. https://doi.org/10.1080/00207543.2016.1154211 Wu, J. H., & Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719–729. https://doi.org/10.1016/j.im.2004.07.001 Yeh, C. C., & Chen, Y. F. (2018). Critical success factors for adoption of 3D printing. Technological Forecasting and Social Change, 132(June 2017), 209–216. https://doi.org/10.1016/j.techfore.2018.02.003