IDEAS home Printed from https://ideas.repec.org/a/spr/infosf/v10y2008i4d10.1007_s10796-008-9102-7.html
   My bibliography  Save this article

Perspectives of citizens towards e-government in Thailand and Indonesia: A multigroup analysis

Author

Listed:
  • Dinesh A. Mirchandani

    (University of Missouri–St. Louis)

  • Julius H. Johnson Jr.

    (University of Missouri–St. Louis)

  • Kailash Joshi

    (University of Missouri–St. Louis)

Abstract

Thailand and Indonesia are two developing countries still in the early stages of e-government implementation. An understanding of their citizens’ perspectives can help the governments of these countries better plan their services and also provide useful information to governments of other developing countries. The current study uses a new survey instrument to assess the importance of e-government services and website success factors from the perspective of citizens. Using multigroup analysis to validate the instrument, it identifies that an important difference between the perceptions of citizens of the two countries is that in Thailand, the importance of financial transaction services is negatively related to the importance of citizen identification with the e-government site whereas in Indonesia this relationship is insignificant. Only two expected relationships were found to be equivalent across both datasets, i.e., the importance of financial transactions services is positively related to the importance of website efficiency and the importance of local information services is positively related to the importance of citizen identification with the site. The multigroup analysis showed that citizens in both countries interpreted the survey instrument similarly but had very different expectations for their e-government services.

Suggested Citation

  • Dinesh A. Mirchandani & Julius H. Johnson Jr. & Kailash Joshi, 2008. "Perspectives of citizens towards e-government in Thailand and Indonesia: A multigroup analysis," Information Systems Frontiers, Springer, vol. 10(4), pages 483-497, September.
  • Handle: RePEc:spr:infosf:v:10:y:2008:i:4:d:10.1007_s10796-008-9102-7
    DOI: 10.1007/s10796-008-9102-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10796-008-9102-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10796-008-9102-7?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. 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.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    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. Sven Laumer & Andreas Eckhardt & Natascha Trunk, 2010. "Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants," Information Systems Frontiers, Springer, vol. 12(2), pages 169-183, April.
    2. Chulhwan Chris Bang, 2015. "Information systems frontiers: Keyword analysis and classification," Information Systems Frontiers, Springer, vol. 17(1), pages 217-237, February.
    3. Vinodh Krishnaraju & Saji K Mathew & Vijayan Sugumaran, 2016. "Web personalization for user acceptance of technology: An empirical investigation of E-government services," Information Systems Frontiers, Springer, vol. 18(3), pages 579-595, June.
    4. Nripendra P. Rana & Yogesh K. Dwivedi & Michael D. Williams, 2015. "A meta-analysis of existing research on citizen adoption of e-government," Information Systems Frontiers, Springer, vol. 17(3), pages 547-563, June.
    5. Stephen Jackson & Meng Seng Wong, 0. "A cultural theory analysis of e-government: Insights from a local government council in Malaysia," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    6. Stephen Jackson & Meng Seng Wong, 2017. "A cultural theory analysis of e-government: Insights from a local government council in Malaysia," Information Systems Frontiers, Springer, vol. 19(6), pages 1391-1405, December.
    7. Karkin, Naci & Janssen, Marijn, 2014. "Evaluating websites from a public value perspective: A review of Turkish local government websites," International Journal of Information Management, Elsevier, vol. 34(3), pages 351-363.
    8. Sahar Afshan & Arshian Sharif & Abdelmohsen A. Nassani & Muhammad M. Q. Abro & Rubeena Batool & Khalid Zaman, 2021. "The role of information and communication technology (internet penetration) on Asian stock market efficiency: Evidence from quantile‐on‐quantile cointegration and causality approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2307-2324, April.
    9. Petter Gottschalk, 2010. "Knowledge management technology for organized crime risk assessment," Information Systems Frontiers, Springer, vol. 12(3), pages 267-275, July.

    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. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    2. Bilgihan, Anil & Barreda, Albert & Okumus, Fevzi & Nusair, Khaldoon, 2016. "Consumer perception of knowledge-sharing in travel-related Online Social Networks," Tourism Management, Elsevier, vol. 52(C), pages 287-296.
    3. Nistor, Cristian, 2013. "A conceptual model for the use of social media in companies," MPRA Paper 44224, University Library of Munich, Germany.
    4. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    5. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    6. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.
    7. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    8. Juan F. Tavera Mesías & Juan C. Sánchez Giraldo & Bernardo Ballesteros Díaz, 2011. "Aceptación del E-Commerce en Colombia: un estudio para la ciudad de Medellín," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, December.
    9. Zhiqiang Yuan & Jing Liu & Xi Deng & Tianzi Ding & Tommy Tanu Wijaya, 2023. "Facilitating Conditions as the Biggest Factor Influencing Elementary School Teachers’ Usage Behavior of Dynamic Mathematics Software in China," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    10. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    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. Pando-Garcia, Julián & Periañez-Cañadillas, Iñaki & Charterina, Jon, 2016. "Business simulation games with and without supervision: An analysis based on the TAM model," Journal of Business Research, Elsevier, vol. 69(5), pages 1731-1736.
    13. Deborah Compeau & Barbara Marcolin & Helen Kelley & Chris Higgins, 2012. "Research Commentary ---Generalizability of Information Systems Research Using Student Subjects---A Reflection on Our Practices and Recommendations for Future Research," Information Systems Research, INFORMS, vol. 23(4), pages 1093-1109, December.
    14. Chen Wei, 2021. "The influence of Consumers’ Purchase intention on Smart Wearable Device: A study of Consumers in East China," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 46-72.
    15. Carolin Bock & Sven Siebeneicher & Jens Rockel, 2022. "The “C” in crowdfunding is for co-financing: exploring participative co-financing, a complement of novel and traditional bank financing," Journal of Business Economics, Springer, vol. 92(9), pages 1559-1602, November.
    16. An, Siyang & Cheung, Chi Fai & Willoughby, Kelvin W., 2024. "A gamification approach for enhancing older adults' technology adoption and knowledge transfer: A case study in mobile payments technology," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    17. Gerli, Paolo & Clement, Jessica & Esposito, Giovanni & Mora, Luca & Crutzen, Nathalie, 2022. "The hidden power of emotions: How psychological factors influence skill development in smart technology adoption," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    18. Domina, Tanya & Lee, Seung-Eun & MacGillivray, Maureen, 2012. "Understanding factors affecting consumer intention to shop in a virtual world," Journal of Retailing and Consumer Services, Elsevier, vol. 19(6), pages 613-620.
    19. Yoon, Jeewhan & Vonortas, Nicholas S. & Han, SungWon, 2020. "Do-It-Yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    20. Tan, Xueping & Wang, Xinyu & Zaidi, Syed Haider Ali, 2019. "What drives public willingness to participate in the voluntary personal carbon-trading scheme? A case study of Guangzhou Pilot, China," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.

    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:spr:infosf:v:10:y:2008:i:4:d:10.1007_s10796-008-9102-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.