IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v173y2021ics0040162521005990.html
   My bibliography  Save this article

Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers

Author

Listed:
  • Ponzoa, José M.
  • Gómez, Andrés
  • Villaverde, Silvia
  • Díaz, Vicente

Abstract

This research investigates the perception, acceptance, and economic valuation of new generations of consumers concerning disruptive technologies (DT) using the modified Technology Acceptance Model (TAM) as a reference. Specifically, it analyzes a group of university students' responses after experimenting with augmented reality (AR) glasses and 3D printers. The results show an eminent interest in technology on the part of young people and a frequent acceptance of its inclusion in their daily lives, and a clear intention to acquire this type of technology someday. Likewise, social projection and self-realization should be considered by marketing managers for the positioning and support of DT's future sales among young people. Based on the existing literature and the research results, the role of technology in generations' daily lives Y and Z is discussed.

Suggested Citation

  • Ponzoa, José M. & Gómez, Andrés & Villaverde, Silvia & Díaz, Vicente, 2021. "Technologically empowered? perception and acceptance of AR glasses and 3D printers in new generations of consumers," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
  • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005990
    DOI: 10.1016/j.techfore.2021.121166
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162521005990
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2021.121166?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. Bogers, Marcel & Hadar, Ronen & Bilberg, Arne, 2016. "Additive manufacturing for consumer-centric business models: Implications for supply chains in consumer goods manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 225-239.
    2. 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.
    3. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    4. Mark Wardman & Glenn Lyons, 2016. "The digital revolution and worthwhile use of travel time: implications for appraisal and forecasting," Transportation, Springer, vol. 43(3), pages 507-530, May.
    5. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    6. Porter, Constance Elise & Donthu, Naveen, 2006. "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Elsevier, vol. 59(9), pages 999-1007, September.
    7. Patricia Baudier & Chantal Ammi & Matthieu Deboeuf-Rouchon, 2020. "Smart home : highly-educated students' acceptance," Post-Print hal-02292941, HAL.
    8. 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.
    9. Manis, Kerry T. & Choi, Danny, 2019. "The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware," Journal of Business Research, Elsevier, vol. 100(C), pages 503-513.
    10. Gurtner, Sebastian & Soyez, Katja, 2016. "How to catch the generation Y: Identifying consumers of ecological innovations among youngsters," Technological Forecasting and Social Change, Elsevier, vol. 106(C), pages 101-107.
    11. Wissal Ben Arfi & Imed Ben Nasr & Tatiana Khvatova & Younes Ben Zaied, 2021. "Understanding acceptance of eHealthcare by IoT natives and IoT immigrants : An integrated model of UTAUT, perceived risk, and financial cost," Post-Print hal-03188218, HAL.
    12. Rese, Alexandra & Baier, Daniel & Geyer-Schulz, Andreas & Schreiber, Stefanie, 2017. "How augmented reality apps are accepted by consumers: A comparative analysis using scales and opinions," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 306-319.
    13. Baudier, Patricia & Ammi, Chantal & Deboeuf-Rouchon, Matthieu, 2020. "Smart home: Highly-educated students' acceptance," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    14. Ogbeibu, Samuel & Pereira, Vijay & Emelifeonwu, Jude & Gaskin, James, 2021. "Bolstering creativity willingness through digital task interdependence, disruptive and smart HRM technologies," Journal of Business Research, Elsevier, vol. 124(C), pages 422-436.
    15. Ben Arfi, Wissal & Ben Nasr, Imed & Khvatova, Tatiana & Ben Zaied, Younes, 2021. "Understanding acceptance of eHealthcare by IoT natives and IoT immigrants: An integrated model of UTAUT, perceived risk, and financial cost," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    16. Robert G. Fichman & Chris F. Kemerer, 1997. "The Assimilation of Software Process Innovations: An Organizational Learning Perspective," Management Science, INFORMS, vol. 43(10), pages 1345-1363, October.
    17. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    18. Caroline Urbain & Christine Gonzalez & Marine Le Gall-Ely, 2013. "What does the future hold for giving? An approach using the social representations of Generation Y," Post-Print halshs-00772474, HAL.
    19. Al-Qeisi, Kholoud & Dennis, Charles & Alamanos, Eleftherios & Jayawardhena, Chanaka, 2014. "Website design quality and usage behavior: Unified Theory of Acceptance and Use of Technology," Journal of Business Research, Elsevier, vol. 67(11), pages 2282-2290.
    20. Schuelke-Leech, Beth-Anne, 2018. "A model for understanding the orders of magnitude of disruptive technologies," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 261-274.
    21. Stewart, Jeanine S. & Oliver, Elizabeth Goad & Cravens, Karen S. & Oishi, Shigehiro, 2017. "Managing millennials: Embracing generational differences," Business Horizons, Elsevier, vol. 60(1), pages 45-54.
    22. 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).
    23. Verma, Pranay & Sinha, Neena, 2018. "Integrating perceived economic wellbeing to technology acceptance model: The case of mobile based agricultural extension service," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 207-216.
    24. Dacko, Scott G., 2017. "Enabling smart retail settings via mobile augmented reality shopping apps," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 243-256.
    25. Rese, Alexandra & Schreiber, Stefanie & Baier, Daniel, 2014. "Technology acceptance modeling of augmented reality at the point of sale: Can surveys be replaced by an analysis of online reviews?," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 869-876.
    26. Hong, Jihoon & Shin, Jungwoo & Lee, Daeho, 2016. "Strategic management of next-generation connected life: Focusing on smart key and car–home connectivity," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 11-20.
    27. 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.
    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. Erdmann, Anett & Mas, José Manuel & de Obesso, Mercedes, 2023. "Disruptive technologies: How to influence price sensitivity triggering consumers’ behavioural beliefs," Journal of Business Research, Elsevier, vol. 158(C).
    2. Yuen, Kum Fai & Chua, Jessana & Li, Kevin X. & Wang, Xueqin, 2022. "Consumer's adoption of virtual reality technologies for marine conservation: Motivational and technology acceptance perspectives," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    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. Mütterlein, Joschka & Kunz, Reinhard E. & Baier, Daniel, 2019. "Effects of lead-usership on the acceptance of media innovations: A mobile augmented reality case," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 113-124.
    2. 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).
    3. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    4. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. 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).
    6. Stefan Hoffmann & Tom Joerß & Robert Mai & Payam Akbar, 2022. "Augmented reality-delivered product information at the point of sale: when information controllability backfires," Journal of the Academy of Marketing Science, Springer, vol. 50(4), pages 743-776, July.
    7. Tu, Gengyang & Faure, Corinne & Schleich, Joachim & Guetlein, Marie-Charlotte, 2021. "The heat is off! The role of technology attributes and individual attitudes in the diffusion of Smart thermostats – findings from a multi-country survey," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    8. Ivonne Angelica Castiblanco Jimenez & Laura Cristina Cepeda García & Maria Grazia Violante & Federica Marcolin & Enrico Vezzetti, 2020. "Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications," Future Internet, MDPI, vol. 13(1), pages 1-21, December.
    9. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    10. 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).
    11. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    12. Nannan Xi & Juan Chen & Filipe Gama & Marc Riar & Juho Hamari, 2023. "The challenges of entering the metaverse: An experiment on the effect of extended reality on workload," Information Systems Frontiers, Springer, vol. 25(2), pages 659-680, April.
    13. 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).
    14. Baudier, Patricia & Ammi, Chantal & Hikkerova, Lubica, 2022. "Impact of advertising on users’ perceptions regarding the Internet of things," Journal of Business Research, Elsevier, vol. 141(C), pages 355-366.
    15. 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.
    16. Scholz, Joachim & Duffy, Katherine, 2018. "We ARe at home: How augmented reality reshapes mobile marketing and consumer-brand relationships," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 11-23.
    17. Pantano, Eleonora & Rese, Alexandra & Baier, Daniel, 2017. "Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 81-95.
    18. Tzu-Hsin Chu & Cheng-Min Chao & Hsieh-Hsi Liu & Der-Fa Chen, 2022. "Developing an Extended Theory of UTAUT 2 Model to Explore Factors Influencing Taiwanese Consumer Adoption of Intelligent Elevators," SAGE Open, , vol. 12(4), pages 21582440221, December.
    19. Rauschnabel, Philipp A. & Felix, Reto & Hinsch, Chris, 2019. "Augmented reality marketing: How mobile AR-apps can improve brands through inspiration," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 43-53.
    20. Lingming Chen & Md. Salamun Rashidin & Fei Song & Yi Wang & Sara Javed & Jian Wang, 2021. "Determinants of Consumer’s Purchase Intention on Fresh E-Commerce Platform: Perspective of UTAUT Model," SAGE Open, , vol. 11(2), pages 21582440211, June.

    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:eee:tefoso:v:173:y:2021:i:c:s0040162521005990. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.