IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v179y2022ics0040162522001391.html
   My bibliography  Save this article

Revisiting the development trajectory of the digital divide: A main path analysis approach

Author

Listed:
  • Liao, Shu-Chun
  • Chou, Tzu-Chuan
  • Huang, Chen-Hao

Abstract

The nature of the digital divide reflects inequalities in digital utilization, which is understood to be a multidimensional phenomenon encompassing accessibility to ICTs, capabilities to use digital technologies, and the benefits from digital artifact usage. However, the growing fabric of the digital divide has changed the original conception of the phenomenon. To trace the dynamic nature of the digital divide, this study adopted key-route main path analysis (MPA) to track the most significant development trajectory from 2855 digital divide-related academic articles and the multiple global MPA to explore the present and future research trends. This study reviewed the major challenges of the digital divide and divided the path into three phases: ICTs connection, ICTs use, and ICTs affordance. In analyzing the main paths of the digital divide, we found three forms, including coverage of communication infrastructure, skills to use ICT devices, and an individual's online behaviors. This study, through key-route MPA, further proposes a practical framework, which provides an inclusive approach to dealing with the digital-related social exclusion.

Suggested Citation

  • Liao, Shu-Chun & Chou, Tzu-Chuan & Huang, Chen-Hao, 2022. "Revisiting the development trajectory of the digital divide: A main path analysis approach," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
  • Handle: RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001391
    DOI: 10.1016/j.techfore.2022.121607
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522001391
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techfore.2022.121607?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. Lu, Louis Y.Y. & Hsieh, Chih-Hung & Liu, John S., 2016. "Development trajectory and research themes of foresight," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 347-356.
    2. Martínez-Domínguez, Marlen & Mora-Rivera, Jorge, 2020. "Internet adoption and usage patterns in rural Mexico," Technology in Society, Elsevier, vol. 60(C).
    3. repec:pri:cpanda:wp17%20-%20dimaggio,%20hargittai,%20neuman,%20robinson is not listed on IDEAS
    4. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2020. "A note on choosing traversal counts in main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 783-785, July.
    5. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    6. Marta Kuc-Czarnecka, 2020. "COVID-19 and digital deprivation in Poland," Oeconomia Copernicana, Institute of Economic Research, vol. 11(3), pages 415-431, September.
    7. Paul DiMaggio & Eszter Hargittai & W. Russell Neuman & John P. Robinson, 2001. "Social Implications of the Internet," Working Papers 159, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    8. Pal, Debajyoti & Vanijja, Vajirasak, 2020. "Perceived usability evaluation of Microsoft Teams as an online learning platform during COVID-19 using system usability scale and technology acceptance model in India," Children and Youth Services Review, Elsevier, vol. 119(C).
    9. John S. Liu & Louis Y.Y. Lu, 2012. "An integrated approach for main path analysis: Development of the Hirsch index as an example," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 528-542, March.
    10. Paul DiMaggio & Eszter Hargittai & W. Russell Neuman & John P. Robinson, 2001. "Social Implications of the Internet," Working Papers 159, Princeton University, School of Public and International Affairs, Center for Arts and Cultural Policy Studies..
    11. Anteneh Ayanso & Danny I. Cho & Kaveepan Lertwachara, 2014. "Information and Communications Technology Development and the Digital Divide: A Global and Regional Assessment," Information Technology for Development, Taylor & Francis Journals, vol. 20(1), pages 60-77, January.
    12. Tsang, Eric W. K., 2014. "Old and New," Management and Organization Review, Cambridge University Press, vol. 10(03), pages 390-390, November.
    13. John S. Liu & Louis Y. Y. Lu & Mei Hsiu-Ching Ho, 2019. "A few notes on main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 379-391, April.
    14. Rico Lee-Ting Cho & John S. Liu & Mei Hsiu-Ching Ho, 2021. "The development of autonomous driving technology: perspectives from patent citation analysis," Transport Reviews, Taylor & Francis Journals, vol. 41(5), pages 685-711, September.
    15. Duncan CAMPBELL, 2001. "Can the digital divide be contained?," International Labour Review, International Labour Organization, vol. 140(2), pages 119-141, June.
    16. Soogwan Doh & Roger R Stough, 2010. "Analysis of the Impact of the Perceived Usefulness of ICT on the Digital Divide Between Disabled and Non-Disabled People in South Korea," International Review of Public Administration, Taylor & Francis Journals, vol. 14(3), pages 53-70, January.
    17. Correa, Teresa & Pavez, Isabel & Contreras, Javier, 2017. "Beyond access: A relational and resource-based model of household Internet adoption in isolated communities," Telecommunications Policy, Elsevier, vol. 41(9), pages 757-768.
    18. Ho, Jonathan C. & Saw, Ewe-Chai & Lu, Louis Y.Y. & Liu, John S., 2014. "Technological barriers and research trends in fuel cell technologies: A citation network analysis," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 66-79.
    19. Xiao, Yu & Lu, Louis Y.Y. & Liu, John S. & Zhou, Zhili, 2014. "Knowledge diffusion path analysis of data quality literature: A main path analysis," Journal of Informetrics, Elsevier, vol. 8(3), pages 594-605.
    20. Nevado-Peña, Domingo & López-Ruiz, Víctor-Raúl & Alfaro-Navarro, José-Luis, 2019. "Improving quality of life perception with ICT use and technological capacity in Europe," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    21. Yan, Jianghui & Tseng, Fang-Mei & Lu, Louis Y.Y., 2018. "Developmental trajectories of new energy vehicle research in economic management: Main path analysis," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 168-181.
    22. Song, Zhouying & Wang, Chen & Bergmann, Luke, 2020. "China’s prefectural digital divide: Spatial analysis and multivariate determinants of ICT diffusion," International Journal of Information Management, Elsevier, vol. 52(C).
    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. Kraus, Sascha & Kumar, Satish & Lim, Weng Marc & Kaur, Jaspreet & Sharma, Anuj & Schiavone, Francesco, 2023. "From moon landing to metaverse: Tracing the evolution of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Ueno, Akiko & Dennis, Charles & Dafoulas, Georgios A., 2023. "Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Chen, Huihui & Li, Peng & Li, Qinghai, 2023. "The impact of science and technology services on agricultural income of rural household: An investigation based on the three northeastern provinces of China," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    4. Pantano, Eleonora & Viassone, Milena & Boardman, Rosy & Dennis, Charles, 2022. "Inclusive or exclusive? Investigating how retail technology can reduce old consumers’ barriers to shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    5. Myeongji Oh & Hyejin Jang & Sunhye Kim & Byungun Yoon, 2023. "Main path analysis for technological development using SAO structure and DEMATEL based on keyword causality," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2079-2104, April.
    6. Qi Jiang & Yihan Li & Hongyun Si, 2022. "Digital Economy Development and the Urban–Rural Income Gap: Intensifying or Reducing," Land, MDPI, vol. 11(11), pages 1-23, November.
    7. Kwok-kin Fung & Shirley Suet-lin Hung & Daniel W. L. Lai & Michelle H. Y. Shum & Hong-wang Fung & Langjie He, 2023. "Access to Information and Communication Technology, Digital Skills, and Perceived Well-Being among Older Adults in Hong Kong," IJERPH, MDPI, vol. 20(13), pages 1-11, June.
    8. Bruno, Giuseppe & Diglio, Antonio & Piccolo, Carmela & Pipicelli, Eduardo, 2023. "A reduced Composite Indicator for Digital Divide measurement at the regional level: An application to the Digital Economy and Society Index (DESI)," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    9. Yu, Dejian & Yan, Zhaoping, 2023. "Main path analysis considering citation structure and content: Case studies in different domains," Journal of Informetrics, Elsevier, vol. 17(1).

    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. Flavia Filippin, 2021. "Do main paths reflect technological trajectories? Applying main path analysis to the semiconductor manufacturing industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6443-6477, August.
    2. Yu, Dejian & Pan, Tianxing, 2021. "Tracing the main path of interdisciplinary research considering citation preference: A case from blockchain domain," Journal of Informetrics, Elsevier, vol. 15(2).
    3. Yu, Dejian & Sheng, Libo, 2021. "Influence difference main path analysis: Evidence from DNA and blockchain domain citation networks," Journal of Informetrics, Elsevier, vol. 15(4).
    4. Chen, Liang & Xu, Shuo & Zhu, Lijun & Zhang, Jing & Xu, Haiyun & Yang, Guancan, 2022. "A semantic main path analysis method to identify multiple developmental trajectories," Journal of Informetrics, Elsevier, vol. 16(2).
    5. Shuo Xu & Liyuan Hao & Xin An & Hongshen Pang & Ting Li, 2020. "Review on emerging research topics with key-route main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 607-624, January.
    6. Ichiro Watanabe & Soichiro Takagi, 2021. "Technological Trajectory Analysis of Patent Citation Networks: Examining the Technological Evolution of Computer Graphic Processing Systems," The Review of Socionetwork Strategies, Springer, vol. 15(1), pages 1-25, June.
    7. Huang, Chen-Hao & Liu, John S. & Ho, Mei Hsiu-Ching & Chou, Tzu-Chuan, 2022. "Towards more convergent main paths: A relevance-based approach," Journal of Informetrics, Elsevier, vol. 16(3).
    8. Bhatt, Priyanka C. & Lai, Kuei-Kuei & Drave, Vinayak A. & Lu, Tzu-Chuen & Kumar, Vimal, 2023. "Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    9. Xiaorui Jiang & Junjun Liu, 2023. "Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(5), pages 546-569, May.
    10. Junmo Kim & Juneseuk Shin, 2018. "Mapping extended technological trajectories: integration of main path, derivative paths, and technology junctures," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1439-1459, September.
    11. Kim, Erin H.J. & Jeong, Yoo Kyung & Kim, YongHwan & Song, Min, 2022. "Exploring scientific trajectories of a large-scale dataset using topic-integrated path extraction," Journal of Informetrics, Elsevier, vol. 16(1).
    12. Dejian Yu & Libo Sheng, 2020. "Knowledge diffusion paths of blockchain domain: the main path analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 471-497, October.
    13. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2020. "The overlooked citations: Investigating the impact of ignoring citations to published patent applications," Journal of Informetrics, Elsevier, vol. 14(1).
    14. Abderahman Rejeb & Alireza Abdollahi & Karim Rejeb & Mohamed M. Mostafa, 2023. "Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2183-2209, June.
    15. Dejing Kong & Jianzhong Yang & Lingfeng Li, 2020. "Early identification of technological convergence in numerical control machine tool: a deep learning approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1983-2009, December.
    16. Abderahman Rejeb & Karim Rejeb & Suhaiza Zailani & Yasanur Kayikci & John G. Keogh, 2023. "Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis," Circular Economy and Sustainability,, Springer.
    17. Alessandri, Enrico, 2023. "Identifying technological trajectories in the mining sector using patent citation networks," Resources Policy, Elsevier, vol. 80(C).
    18. Bruno Miranda Henrique & Vinicius Amorim Sobreiro & Herbert Kimura, 2018. "Building direct citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 817-832, May.
    19. Nevado-Peña, Domingo & López-Ruiz, Víctor-Raúl & Alfaro-Navarro, José-Luis, 2019. "Improving quality of life perception with ICT use and technological capacity in Europe," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    20. Tseng, Fang-Mei & Palma Gil, Eunice Ina N. & Lu, Louis Y.Y., 2021. "Developmental trajectories of blockchain research and its major subfields," Technology in Society, Elsevier, vol. 66(C).

    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:179:y:2022:i:c:s0040162522001391. 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.