IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v155y2020ics0040162518308904.html
   My bibliography  Save this article

Users segmentation based on the Technological Readiness Adoption Index in emerging countries: The case of Chile

Author

Listed:
  • Ramírez-Correa, Patricio
  • Grandón, Elizabeth E.
  • Rondán-Cataluña, F. Javier

Abstract

We set two main objectives in this study. First, to validate the Technology Readiness Index 2.0, which originated in the USA and measures technology adoption, in a less technologically mature country, Chile. Second, to explore the perceptions of Chilean users of new technologies to classify and compare them with users from the USA. Data were collected in two Chilean regions through a face-to-face survey with a final sample size of 788 respondents. Latent class analysis was used as a segmentation tool. We obtained five groups of users: pioneers, hesitators, avoiders, explorers, and skeptics. The clusters found in this current study are to some extent similar to those obtained in the pioneering research conducted in the USA, although there are differences in their order of importance. These findings can help companies to adopt innovations to specific market segments. As a result, the rate of success of these innovations would improve.

Suggested Citation

  • Ramírez-Correa, Patricio & Grandón, Elizabeth E. & Rondán-Cataluña, F. Javier, 2020. "Users segmentation based on the Technological Readiness Adoption Index in emerging countries: The case of Chile," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:tefoso:v:155:y:2020:i:c:s0040162518308904
    DOI: 10.1016/j.techfore.2020.120035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518308904
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2020.120035?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. Boschetti, Fabio & Price, Jennifer & Walker, Iain, 2016. "Myths of the future and scenario archetypes," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 76-85.
    2. Wayne S. DeSarbo & Kamel Jedidi & Indrajit Sinha, 2001. "Customer value analysis in a heterogeneous market," Strategic Management Journal, Wiley Blackwell, vol. 22(9), pages 845-857, September.
    3. Miriam Martens & Oliver Roll & Roger Elliott, 2017. "Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-19, December.
    4. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 2017. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 19(4), pages 835-854, August.
    5. Alessandro Rizzo & Maurizio Porfiri, 2016. "Innovation diffusion on time-varying activity driven networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(1), pages 1-8, January.
    6. Hills, Jeremy M. & Μichalena, Evanthie & Chalvatzis, Konstantinos J., 2018. "Innovative technology in the Pacific: Building resilience for vulnerable communities," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 16-26.
    7. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    8. Molin, Eric & Mokhtarian, Patricia & Kroesen, Maarten, 2016. "Multimodal travel groups and attitudes: A latent class cluster analysis of Dutch travelers," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 14-29.
    9. Alessandro Rizzo & Maurizio Porfiri, 2016. "Innovation diffusion on time-varying activity driven networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(1), pages 1-8, January.
    10. Lee, Duk Hee & Park, Sang Yong & Kim, Jong Wook & Lee, Seong Kon, 2013. "Analysis on the feedback effect for the diffusion of innovative technologies focusing on the green car," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 498-509.
    11. 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.
    12. Rahman, Syed Abidur & Taghizadeh, Seyedeh Khadijeh & Ramayah, T. & Alam, Mirza Mohammad Didarul, 2017. "Technology acceptance among micro-entrepreneurs in marginalized social strata: The case of social innovation in Bangladesh," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 236-245.
    13. Frederico Cruz-Jesus & Tiago Oliveira & Fernando Bacao & Zahir Irani, 0. "Assessing the pattern between economic and digital development of countries," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    14. Massiani, Jérôme & Gohs, Andreas, 2015. "The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies," Research in Transportation Economics, Elsevier, vol. 50(C), pages 17-28.
    15. Abbas Keramati & Masoud Afshari-Mofrad & Iman Behmanesh & Reihaneh Gholami, 2016. "The impact of information technology maturity on firm performance considering the moderating role of relational maturity: an empirical research," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 23(1), pages 23-43.
    16. Lee, Sang Yup & Lee, Keeheon, 2018. "Factors that influence an individual's intention to adopt a wearable healthcare device: The case of a wearable fitness tracker," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 154-163.
    17. van Oorschot, Johannes A.W.H. & Hofman, Erwin & Halman, Johannes I.M., 2018. "A bibliometric review of the innovation adoption literature," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 1-21.
    18. Lai, Jung-Yu & Wang, Juite, 2015. "Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 155-167.
    19. Estrella Díaz & David Martín-Consuegra & Hooman Estelami, 2016. "A persuasive-based latent class segmentation analysis of luxury brand websites," Electronic Commerce Research, Springer, vol. 16(3), pages 401-424, September.
    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. Huang, Tseng-Lung & Tsiotsou, Rodoula H. & Liu, Ben S., 2023. "Delineating the role of mood maintenance in augmenting reality (AR) service experiences: An application in tourism," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Basarir-Ozel, Birgul & Nasir, V. Aslihan & Turker, Hande B., 2023. "Determinants of smart home adoption and differences across technology readiness segments," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Durst, Susanne & Davila, Andrés & Foli, Samuel & Kraus, Sascha & Cheng, Cheng-Feng, 2023. "Antecedents of technological readiness in times of crises: A comparison between before and during COVID-19," Technology in Society, Elsevier, vol. 72(C).
    4. Balzarova, Michaela & Dyer, Celia & Falta, Michael, 2022. "Perceptions of blockchain readiness for fairtrade programmes," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    5. Lucendo-Monedero, Ángel Luis & Ruiz-Rodríguez, Francisca & González-Relaño, Reyes, 2023. "The information society and socio-economic sustainability in european regions. Spatio-temporal changes between 2011 and 2020," Technology in Society, Elsevier, vol. 75(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. Anna Brdulak & Grażyna Chaberek & Jacek Jagodziński, 2021. "BASS Model Analysis in “Crossing the Chasm” in E-Cars Innovation Diffusion Scenarios," Energies, MDPI, vol. 14(11), pages 1-16, May.
    2. Brito, Thiago Luis Felipe & Islam, Towhidul & Stettler, Marc & Mouette, Dominique & Meade, Nigel & Moutinho dos Santos, Edmilson, 2019. "Transitions between technological generations of alternative fuel vehicles in Brazil," Energy Policy, Elsevier, vol. 134(C).
    3. Ruan, Zhongyuan & Zhang, Lina & Shu, Xincheng & Xuan, Qi, 2022. "Social contagion with negative feedbacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    4. Mona Kabus & Lars Nolting & Benedict J. Mortimer & Jan C. Koj & Wilhelm Kuckshinrichs & Rik W. De Doncker & Aaron Praktiknjo, 2020. "Environmental Impacts of Charging Concepts for Battery Electric Vehicles: A Comparison of On-Board and Off-Board Charging Systems Based on a Life Cycle Assessment," Energies, MDPI, vol. 13(24), pages 1-31, December.
    5. Reddy, B. Sudhakara, 2018. "Economic dynamics and technology diffusion in indian power sector," Energy Policy, Elsevier, vol. 120(C), pages 425-435.
    6. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    7. Sanghamitra Mukherjee, 2021. "A Framework to Measure Regional Disparities in Battery Electric Vehicle Diffusion in Ireland," Working Papers 202119, School of Economics, University College Dublin.
    8. Zhu, Xiaoyan & Jiao, Can & Yuan, Tao, 2019. "Optimal decisions on product reliability, sales and promotion under nonrenewable warranties," Reliability Engineering and System Safety, Elsevier, vol. 192(C).
    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. Liu, Xueying & Madlener, Reinhard, 2019. "Get Ready for Take-Off: A Two-Stage Model of Aircraft Market Diffusion," FCN Working Papers 15/2019, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    11. Bissera ZANKOVA, 2021. "Smart societies, gender and the 2030 spotlight -are we prepared?," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, Faculty of Public Administration, National University of Political Studies & Public Administration, vol. 5(3), pages 63-76, July.
    12. Reda Cherif & Fuad Hasanov & Aditya Pande, 2021. "Riding the Energy Transition: Oil beyond 2040," Asian Economic Policy Review, Japan Center for Economic Research, vol. 16(1), pages 117-137, January.
    13. Basaure, Arturo & Benseny, Jaume, 2020. "Smart city platform adoption for C-V2X services," ITS Conference, Online Event 2020 224845, International Telecommunications Society (ITS).
    14. Heymann, Fabian & Miranda, Vladimiro & Soares, Filipe Joel & Duenas, Pablo & Perez Arriaga, Ignacio & Prata, Ricardo, 2019. "Orchestrating incentive designs to reduce adverse system-level effects of large-scale EV/PV adoption – The case of Portugal," Applied Energy, Elsevier, vol. 256(C).
    15. Ahlam Al-Muwil & Vishanth Weerakkody & Ramzi El-haddadeh & Yogesh Dwivedi, 2019. "Balancing Digital-By-Default with Inclusion: A Study of the Factors Influencing E-Inclusion in the UK," Information Systems Frontiers, Springer, vol. 21(3), pages 635-659, June.
    16. Carlos A. Arbelaez-Velasquez & Diana Giraldo & Santiago Quintero, 2022. "Analysis of a Teleworking Technology Adoption Case: An Agent-Based Model," Sustainability, MDPI, vol. 14(16), pages 1-14, August.
    17. Massiani, Jérôme & Gohs, Andreas, 2015. "The choice of Bass model coefficients to forecast diffusion for innovative products: An empirical investigation for new automotive technologies," Research in Transportation Economics, Elsevier, vol. 50(C), pages 17-28.
    18. Arias-Gaviria, Jessica & Larsen, Erik R. & Arango-Aramburo, Santiago, 2018. "Understanding the future of Seawater Air Conditioning in the Caribbean: A simulation approach," Utilities Policy, Elsevier, vol. 53(C), pages 73-83.
    19. Takahashi, Carlos Kazunari & Figueiredo, Júlio César Bastos de & Scornavacca, Eusebio, 2024. "Investigating the diffusion of innovation: A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    20. Szeles, Monica Răileanu, 2018. "New insights from a multilevel approach to the regional digital divide in the European Union," Telecommunications Policy, Elsevier, vol. 42(6), pages 452-463.

    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:155:y:2020:i:c:s0040162518308904. 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.