Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective

Henry N. Roa; Edison Loza-Aguirre; Pamela Flores

doi:10.1007/978-3-030-39445-5_43

Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective

Henry N. Roa, Edison Loza-Aguirre, Pamela Flores

Facultad de Ingeniería

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

6 Citas (Scopus)

Resumen

By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.

Idioma original	Inglés
Título de la publicación alojada	Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC
Editores	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Editorial	Springer
Páginas	589-599
Número de páginas	11
ISBN (versión impresa)	9783030394448
DOI	https://doi.org/10.1007/978-3-030-39445-5_43
Estado	Publicada - 2020
Evento	Future of Information and Communication Conference, FICC 2020 - San Francisco, Estados Unidos Duración: 5 mar. 2020 → 6 mar. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1129 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	Future of Information and Communication Conference, FICC 2020
País/Territorio	Estados Unidos
Ciudad	San Francisco
Período	5/03/20 → 6/03/20

Nota bibliográfica

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

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10.1007/978-3-030-39445-5_43

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Roa, H. N., Loza-Aguirre, E., & Flores, P. (2020). Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. En K. Arai, S. Kapoor, & R. Bhatia (Eds.), Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC (pp. 589-599). (Advances in Intelligent Systems and Computing; Vol. 1129 AISC). Springer. https://doi.org/10.1007/978-3-030-39445-5_43

Roa, Henry N. ; Loza-Aguirre, Edison ; Flores, Pamela. / Drivers and Barriers for Open Government Data Adoption : An Isomorphic Neo-Institutional Perspective. Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC. editor / Kohei Arai ; Supriya Kapoor ; Rahul Bhatia. Springer, 2020. pp. 589-599 (Advances in Intelligent Systems and Computing).

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title = "Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective",

abstract = "By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.",

keywords = "Adoption, Information systems, Isomorphic pressures, Neo-Institutional theory, Open government data",

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Roa, HN, Loza-Aguirre, E & Flores, P 2020, Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. En K Arai, S Kapoor & R Bhatia (eds.), Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC. Advances in Intelligent Systems and Computing, vol. 1129 AISC, Springer, pp. 589-599, Future of Information and Communication Conference, FICC 2020, San Francisco, Estados Unidos, 5/03/20. https://doi.org/10.1007/978-3-030-39445-5_43

Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. / Roa, Henry N.; Loza-Aguirre, Edison; Flores, Pamela.
Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC. ed. / Kohei Arai; Supriya Kapoor; Rahul Bhatia. Springer, 2020. p. 589-599 (Advances in Intelligent Systems and Computing; Vol. 1129 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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T1 - Drivers and Barriers for Open Government Data Adoption

T2 - Future of Information and Communication Conference, FICC 2020

AU - Roa, Henry N.

AU - Loza-Aguirre, Edison

AU - Flores, Pamela

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2020.

PY - 2020

Y1 - 2020

N2 - By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.

AB - By making government data available to all, Open Government Data (OGD) initiatives promote transparency, accountability and value creation. However, these initiatives face several problems affecting their implementation throughout its adoption process. This study focuses on the forces driving or hindering the adoption of OGD in a developing country at its early stages. In depth, through the analysis of qualitative data, which was collected from seven governmental institutions, we highlight that OGD adoption is mainly hindered by the lack of a comprehensive legal framework. On the other hand, the adoption of OGD is mainly driven by the participation of the governmental practitioners on professional networks and by the transmission of success stories from other countries with similar characteristics to the country studied in this research.

KW - Adoption

KW - Information systems

KW - Isomorphic pressures

KW - Neo-Institutional theory

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Roa HN, Loza-Aguirre E, Flores P. Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. En Arai K, Kapoor S, Bhatia R, editores, Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC. Springer. 2020. p. 589-599. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-39445-5_43

Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective

Resumen

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