IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v65y2021ics0160791x21000336.html
   My bibliography  Save this article

Using diffusion of innovation theory and sentiment analysis to analyze attitudes toward driving adoption by Saudi women

Author

Listed:
  • Al-Razgan, Muna
  • Alrowily, Asma
  • Al-Matham, Rawan N.
  • Alghamdi, Khulood M.
  • Shaabi, Maha
  • Alssum, Lama

Abstract

Although several studies have used sentiment analysis to examine social media content, relatively few have complemented this work with sociological theories. This study employed the diffusion of innovation (DOI) framework to provide a deeper understanding of the recent debate on whether women in Saudi Arabia should be granted the right to drive. The outlook of proponents and opponents was considered by using detailed Arabic Twitter data. The sentiment analysis approach was used. The findings were analyzed on the basis of DOI stages, and the innovation–decision process demonstrated that 60% of Twitter users supported the governments' approval of women's right to drive and 40% either opposed the order or had a neutral opinion. The finding of our analysis suggests that Saudi society corresponds the DOI stages and exhibits the tendency to support the right of women to drive. This study contributes to DOI research, particularly concerning the use of social media for studying opinions on important unsettled social matters.

Suggested Citation

  • Al-Razgan, Muna & Alrowily, Asma & Al-Matham, Rawan N. & Alghamdi, Khulood M. & Shaabi, Maha & Alssum, Lama, 2021. "Using diffusion of innovation theory and sentiment analysis to analyze attitudes toward driving adoption by Saudi women," Technology in Society, Elsevier, vol. 65(C).
    • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x21000336
    DOI: 10.1016/j.techsoc.2021.101558
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X21000336
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2021.101558?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. Lama Altoaimy, 2018. "Driving Change on Twitter: A Corpus-Assisted Discourse Analysis of the Twitter Debates on the Saudi Ban on Women Driving," Social Sciences, MDPI, vol. 7(5), pages 1-14, May.
    2. Samargandi, Nahla & Al Mamun, Md & Sohag, Kazi & Alandejani, Maha, 2019. "Women at work in Saudi Arabia: Impact of ICT diffusion and financial development," Technology in Society, Elsevier, vol. 59(C).
    3. Mohammed N. Al-Kabi & Heider A. Wahsheh & Izzat M. Alsmadi, 2016. "Polarity Classification of Arabic Sentiments," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 11(3), pages 32-49, July.
    4. Afnan MuhammadSalh AlSukhayri & Muhammad Ahtisham Aslam & Kawther Saeedi & Muhamad Sheraz Arshed Malik, 2020. "A Linked Open Data-Oriented Sustainable System for Transparency and Open Access to Government Data: A Case Study of the Public’s Response to Women’s Driving in Saudi Arabia," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    5. Rehab M. Duwairi & Islam Qarqaz, 2016. "A framework for Arabic sentiment analysis using supervised classification," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 8(4), pages 369-381.
    6. Luppicini, Rocci & Saleh, Ramzia H., 2017. "The role of online social networks for divorced Saudi women in the face of social, psychological, economic, and legal challenges," Technology in Society, Elsevier, vol. 51(C), pages 142-152.
    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. Santoveña-Casal, Sonia & Pérez, Ma Dolores Fernández, 2022. "Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame," Technology in Society, Elsevier, vol. 68(C).
    2. Xu, Yong & Yuan, Ling & Khalfaoui, Rabeh & Radulescu, Magdalena & Mallek, Sabrine & Zhao, Xin, 2023. "Making technological innovation greener: Does firm digital transformation work?," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    3. Hanan S. AlEssa & Christopher M. Durugbo, 2022. "Understanding innovative work behaviour of women in service firms," Service Business, Springer;Pan-Pacific Business Association, vol. 16(4), pages 825-862, December.
    4. Singh, Yashdeep & Suri, Pradeep Kumar, 2022. "An empirical analysis of mobile learning app usage experience," Technology in Society, Elsevier, vol. 68(C).
    5. Xing, Yunfei & Wang, Xiwei & Qiu, Chengcheng & Li, Yueqi & He, Wu, 2022. "Research on opinion polarization by big data analytics capabilities in online social networks," Technology in Society, Elsevier, vol. 68(C).
    6. Malik, Aqdas & Berggren, Walter & Al-Busaidi, Adil S., 2022. "Instagram as a research tool for examining tobacco-related content: A methodological review," Technology in Society, Elsevier, vol. 70(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. Bruno Emmanuel Ongo Nkoa & Jacques Simon Song & Marie Laure Onguene Belomo, 2022. "Does ICT diffusion contribute to women's political empowerment in Africa?," African Development Review, African Development Bank, vol. 34(3), pages 339-355, September.
    2. Mirzaei Abbasabadi, Hamed & Soleimani, Mohammad, 2021. "Examining the effects of digital technology expansion on Unemployment: A cross-sectional investigation," Technology in Society, Elsevier, vol. 64(C).
    3. Antonio De Nicola & Maria Luisa Villani, 2021. "Smart City Ontologies and Their Applications: A Systematic Literature Review," Sustainability, MDPI, vol. 13(10), pages 1-40, May.
    4. Shujaat Abbas & Faheem Ur Rehman & Shabeer Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abul Ala Noman, 2022. "Crowding-Out Effect of Natural Resources on Domestic Investment: The Importance of Information Communication and Technology (ICT) and Control of Corruption in the Middle East and Central Asia," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    5. Zhang, Qianxiao & Shah, Syed Ale Raza & Yang, Ling, 2022. "An Appreciated Response of Disaggregated Energies Consumption towards the Sustainable Growth: A debate on G-10 Economies," Energy, Elsevier, vol. 254(PA).
    6. Sohag, Kazi & Badur, Mesut M. & Ameer, Waqar & Vilamová, Šárka, 2024. "Does ICT diffusion validate skill-biased technological change hypothesis? Evidence from the post-Soviet countries," Technology in Society, Elsevier, vol. 76(C).
    7. Christina Sanchita Shah & Supunmali Ahangama, 2023. "A Cross-Country Examination of Internet Penetration and the Economic Participation of Women: The Influence of Social Capital and Gender Equality," IIM Kozhikode Society & Management Review, , vol. 12(2), pages 182-196, July.
    8. Nkoumou Ngoa, Gaston Brice & Song, Jacques Simon, 2021. "Female participation in African labor markets: The role of information and communication technologies," Telecommunications Policy, Elsevier, vol. 45(9).
    9. Zhang, Jiaping & Cheng, Mingwang & Yu, Ning, 2020. "Internet Use and Lower Life Satisfaction: The Mediating Effect of Environmental Quality Perception," Ecological Economics, Elsevier, vol. 176(C).
    10. Abiola John Asaleye & Kariena Strydom, 2023. "Promoting Women’s Empowerment: Linkages Between Financial Development, Employment and Economic Growth in Selected African Economies," SAGE Open, , vol. 13(4), pages 21582440231, October.
    11. Zhang, Jiaping & Yan, Qing & Guo, Wenxin & Gong, Xiaomei & Cheng, Mingwang & Yu, Ning, 2020. "Rainbow over the Internet: How Internet use curtails homophobia in China," Technology in Society, Elsevier, vol. 62(C).
    12. Merve Genç, 2023. "#NotDying4Wallstreet: A Discourse Analysis on Health vs. Economy during COVID-19," Societies, MDPI, vol. 13(2), pages 1-24, January.
    13. Itchoko M.M. Mwa Ndjokou, Prince Piva Asaloko, 2024. "Empirical verification of the link between the digital divide and women's economic participation in Africa," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 21(1), pages 123-164, June.
    14. Catherine E. Sanders & Kennedy A. Mayfield-Smith & Alexa J. Lamm, 2021. "Exploring Twitter Discourse around the Use of Artificial Intelligence to Advance Agricultural Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-14, October.

    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:teinso:v:65:y:2021:i:c:s0160791x21000336. 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: https://www.journals.elsevier.com/technology-in-society .

    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.