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Investigation into the adoption of open government data among students: the behavioural intention-based comparative analysis of three countries

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F22%3A39918722" target="_blank" >RIV/00216275:25410/22:39918722 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.emerald.com/insight/content/doi/10.1108/AJIM-08-2021-0249/full/html" target="_blank" >https://www.emerald.com/insight/content/doi/10.1108/AJIM-08-2021-0249/full/html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1108/AJIM-08-2021-0249" target="_blank" >10.1108/AJIM-08-2021-0249</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Investigation into the adoption of open government data among students: the behavioural intention-based comparative analysis of three countries

  • Original language description

    Purpose – Open government data (OGD) are considered as a technology capable of promoting transparency openness, and accountability, which in turn has a positive impact on innovation activities and creates responsive government, collaboration, cooperation, co-creation and participation. The purpose of this paper is to explore the adoption of OGD and open data portals among students, in an attempt to discover how governments can improve their actions in this respect. Design/methodology/approach – This study develops a behavioural intention-based analysis using constructs from the Unified Theory of Acceptance and Use of Technology, which is supplemented with additional constructs that meet the purpose of the study. In total, ten constructs divided into 33 items constituted the input for our study. Input data for the developed model have been collected through a structured questionnaire distributed between bachelor’s and master’s level students in three countries – the Czech Republic, India and Latvia. A structural equation modelling technique was used to analyse the relationships between variables of the model and test the nine hypothesis defined. Findings – Six constructs have been identified to facilitate significant relationships with behavioural intention. The analysis of the results of the three countries allows us to draw more objective conclusions in respect to the aim of the study and to reveal country-specific aspects that need to be addressed in the future. Originality/value – This study adds to the existing literature few theoretical and practical aspects. It highlights the role of open data portals as a central point of OGD infrastructures. It enables governments to understand the relationships among the related constructs, improving their actions and modifying their data infrastructures accordingly.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Aslib Journal of Information Management

  • ISSN

    2050-3806

  • e-ISSN

    1758-3748

  • Volume of the periodical

    74

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    19

  • Pages from-to

    549-567

  • UT code for WoS article

    000739860300001

  • EID of the result in the Scopus database

    2-s2.0-85122293527