IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v87y2014icp80-88.html
   My bibliography  Save this article

Analyzing the factors that affect the adoption of mobile services in Taiwan

Author

Listed:
  • Shieh, Lon-Fon
  • Chang, Tien-Hsiang
  • Fu, Hsin-Pin
  • Lin, Sheng-Wei
  • Chen, Ying-Yen

Abstract

Most previous research studies on the general factors related to the adoption of mobile services have used multiple regression methods (the technology acceptance mode or structural equation modeling) and some have used MCDM tools. However, these studies still have some shortcomings, so they cannot provide the enough precise information about these factors and their weightings. This information is needed by firms so that they can allocate their limited resources to the most important factors and draw appropriate strategies to improve the content and quality of their mobile services. This study reviewed the literature and constructed a three-layer hierarchical table of the factors that affect consumers' adoption of mobile services. A pair-wise questionnaire was then designed and distributed to managers who are familiar with the mobile services of Chunghwa Telecom, a leading telecommunication company. From the data collected, the weight of each factor was directly calculated, using the fuzzy analytic hierarchy process (FAHP). The paper analyzes the importance of factors and three implications are also discussed. Hopefully, this knowledge will enable firms to better utilize their limited resources, by devising management strategies based on the weights of these factors, and therefore, to meet consumer demand at lower cost and with greater efficiency.

Suggested Citation

  • Shieh, Lon-Fon & Chang, Tien-Hsiang & Fu, Hsin-Pin & Lin, Sheng-Wei & Chen, Ying-Yen, 2014. "Analyzing the factors that affect the adoption of mobile services in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 80-88.
  • Handle: RePEc:eee:tefoso:v:87:y:2014:i:c:p:80-88
    DOI: 10.1016/j.techfore.2013.11.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162513003028
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2013.11.004?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. Thakur, Dhanaraj, 2012. "Market competition and the distributional consequences of mobile phones in Canada," Technological Forecasting and Social Change, Elsevier, vol. 79(2), pages 223-230.
    2. Kwak, So-Yoon & Yoo, Seung-Hoon, 2012. "Ex-ante evaluation of the consumers' preference for the 4th generation mobile communications service," Technological Forecasting and Social Change, Elsevier, vol. 79(7), pages 1312-1318.
    3. Teo, T. S. H. & Pok, Siau Heong, 2003. "Adoption of WAP-enabled mobile phones among Internet users," Omega, Elsevier, vol. 31(6), pages 483-498, December.
    4. Moreno-Jiménez, José María & Polasek, Wolfgang, 2003. "E-Democracy and Knowledge. A Multicriteria Framework for the New Democratic Era," Economics Series 142, Institute for Advanced Studies.
    5. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    6. Teng, Weichen & Lu, Hsi-Peng & Yu, Hueiju, 0. "Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan," Telecommunications Policy, Elsevier, vol. 33(10-11), pages 628-641, November.
    7. Duke, Joshua M. & Aull-Hyde, Rhonda, 2002. "Identifying public preferences for land preservation using the analytic hierarchy process," Ecological Economics, Elsevier, vol. 42(1-2), pages 131-145, August.
    8. Chou, Tzy-Yuan & Chou, Seng-cho T. & Tzeng, Gwo-Hshiung, 2006. "Evaluating IT/IS investments: A fuzzy multi-criteria decision model approach," European Journal of Operational Research, Elsevier, vol. 173(3), pages 1026-1046, 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. Zhang, Yun & Weng, Qingxiong & Zhu, Nan, 2018. "The relationships between electronic banking adoption and its antecedents: A meta-analytic study of the role of national culture," International Journal of Information Management, Elsevier, vol. 40(C), pages 76-87.
    2. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou & Levente Kovács, 2020. "Evaluation and Classification of Mobile Financial Services Sustainability Using Structural Equation Modeling and Multiple Criteria Decision-Making Methods," Sustainability, MDPI, vol. 12(4), pages 1-34, February.
    3. Hossein Sabzian & Mohammad Ali Shafia & Mehdi Ghazanfari & Ali Bonyadi Naeini, 2020. "Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory," Sustainability, MDPI, vol. 12(7), pages 1-36, April.
    4. Wan Rung Lin & Chun-Yueh Lin & Yu-Heng Ding, 2020. "Factors Affecting the Behavioral Intention to Adopt Mobile Payment: An Empirical Study in Taiwan," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    5. Ashutosh Jha & Debashis Saha, 2019. "Examining categorization of Telecom Circles in India using unsupervised k-means clustering on techno-economic indicators," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(4), pages 365-383, December.
    6. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    7. Ehrenhard, Michel & Wijnhoven, Fons & van den Broek, Tijs & Zinck Stagno, Marc, 2017. "Unlocking how start-ups create business value with mobile applications: Development of an App-enabled Business Innovation Cycle," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 26-36.
    8. Thangeda, Rahul & Kumar, Niraj & Majhi, Ritanjali, 2024. "A neural network-based predictive decision model for customer retention in the telecommunication sector," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    9. Gerpott, Torsten J. & Meinert, Phil, 2016. "The impact of mobile Internet usage on mobile voice calling behavior: A two-level analysis of residential mobile communications customers in Germany," Telecommunications Policy, Elsevier, vol. 40(1), pages 62-76.

    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. Revels, Janeaya & Tojib, Dewi & Tsarenko, Yelena, 2010. "Understanding consumer intention to use mobile services," Australasian marketing journal, Elsevier, vol. 18(2), pages 74-80.
    2. Susmita Chatterjee & Bibek Ray Chaudhuri & Debabrata Dutta, 2019. "Determinants of Adoption of New Technology in Telecom Sector: A Structural Equation Modeling Approach," Global Business Review, International Management Institute, vol. 20(1), pages 166-178, February.
    3. Tugrul Daim & Nuri Basoglu & Banu Kargin & Kenny Phan, 2014. "Service Innovation Adoption: the Case of Value-Added Mobile Services," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 5(4), pages 784-802, December.
    4. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    5. Gupta, Ruchita & Jain, Karuna, 2015. "Adoption behavior of rural India for mobile telephony: A multigroup study," Telecommunications Policy, Elsevier, vol. 39(8), pages 691-704.
    6. Orhan Dagli & Glenn P. Jenkins, 2015. "Consumer Preferences for Improvements in Mobile Telecommunication Services," Development Discussion Papers 2015-05, JDI Executive Programs.
    7. Harry Bouwman & Mark de Reuver & Alex Visser, 2010. "Understanding Adoption of Mobile Service Bundles," Chapters, in: Morten Falch & Jan Markendahl (ed.), Promoting New Telecom Infrastructures, chapter 13, Edward Elgar Publishing.
    8. Nabaz T. Khayyat & Almas Heshmati, 2012. "Determinants of Mobile Telecommunication Adoption in the Kurdistan Region of Iraq," TEMEP Discussion Papers 201289, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2012.
    9. Arif, Imtiaz & Aslam, Wajeeha & Hwang, Yujong, 2020. "Barriers in adoption of internet banking: A structural equation modeling - Neural network approach," Technology in Society, Elsevier, vol. 61(C).
    10. Nouman Khurram & Umair Saeed, 2015. "Factors Influencing the Intention of People to Use Islamic Banking: An Evidence from Lahore, Pakistan," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(8), pages 411-418, August.
    11. Talukder, Md. Shamim & Sorwar, Golam & Bao, Yukun & Ahmed, Jashim Uddin & Palash, Md. Abu Saeed, 2020. "Predicting antecedents of wearable healthcare technology acceptance by elderly: A combined SEM-Neural Network approach," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
    12. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    13. Massimo Florio & Francesco Giffoni & Gelsomina Catalano, 2020. "Should governments fund basic science? Evidence from a willingness-to-pay experiment in five universities," Journal of Economic Policy Reform, Taylor and Francis Journals, vol. 23(1), pages 16-33, January.
    14. Kik, M.C. & Claassen, G.D.H. & Meuwissen, M.P.M. & Smit, A.B. & Saatkamp, H.W., 2021. "Actor analysis for sustainable soil management – A case study from the Netherlands," Land Use Policy, Elsevier, vol. 107(C).
    15. Tian , Xiaoguang & Prybutok, Victor & Mirzaei, Fouad & Dinulescu, Catalin C., 2020. "Millennials Acceptance of Insurance Telematics: An Integrative Empirical Study," American Business Review, Pompea College of Business, University of New Haven, vol. 23(1), pages 156-181, May.
    16. Catherine M.H. Keske & Greta Lohman & John B. Loomis, 2013. "Do Respondents Report Willingness-to-Pay on a per Person or per Group Basis? A High Mountain Recreation Example," Tourism Economics, , vol. 19(1), pages 133-145, February.
    17. Hong, Areum & Nam, Changi & Kim, Seongcheol, 2016. "Estimating the potential increase in consumer welfare from the introduction of Super Wi-Fi services in Korea," Telecommunications Policy, Elsevier, vol. 40(10), pages 935-944.
    18. Jeeyeon Jeong & Yaeri Kim & Taewoo Roh, 2021. "Do Consumers Care About Aesthetics and Compatibility? The Intention to Use Wearable Devices in Health Care," SAGE Open, , vol. 11(3), pages 21582440211, August.
    19. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    20. Xin Jiang & Yuyu Liu & Ranhang Zhao, 2019. "A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.

    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:87:y:2014:i:c:p:80-88. 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.