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

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

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.

Original language	English
Title of host publication	Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC
Editors	Kohei Arai, Supriya Kapoor, Rahul Bhatia
Publisher	Springer
Pages	589-599
Number of pages	11
ISBN (Print)	9783030394448
DOIs	https://doi.org/10.1007/978-3-030-39445-5_43
State	Published - 2020
Event	Future of Information and Communication Conference, FICC 2020 - San Francisco, United States Duration: 5 Mar 2020 → 6 Mar 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1129 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Future of Information and Communication Conference, FICC 2020
Country/Territory	United States
City	San Francisco
Period	5/03/20 → 6/03/20

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

Funding

Acknowledgment. This research was supported by the Pontificia Universidad Católica del Ecuador through the grant research project O13050. In addition, we acknowledge and thank the Anonymous Reviewers for their valuable recommendations, which contributed to improving the quality of this paper.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Keywords

Adoption
Information systems
Isomorphic pressures
Neo-Institutional theory
Open government data

Access to Document

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

Cite this

Roa, H. N., Loza-Aguirre, E., & Flores, P. (2020). Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. In 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).

@inproceedings{1e8958cea2b74070bf2d6060c6cd712a,

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",

author = "Roa, \{Henry N.\} and Edison Loza-Aguirre and Pamela Flores",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2020.; Future of Information and Communication Conference, FICC 2020 ; Conference date: 05-03-2020 Through 06-03-2020",

year = "2020",

doi = "10.1007/978-3-030-39445-5\_43",

language = "English",

isbn = "9783030394448",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

pages = "589--599",

editor = "Kohei Arai and Supriya Kapoor and Rahul Bhatia",

booktitle = "Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC",

}

Roa, HN, Loza-Aguirre, E & Flores, P 2020, Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. in 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, United States, 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).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

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

KW - Open government data

UR - https://www.scopus.com/pages/publications/85081584135

U2 - 10.1007/978-3-030-39445-5_43

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

M3 - Conference contribution

AN - SCOPUS:85081584135

SN - 9783030394448

T3 - Advances in Intelligent Systems and Computing

SP - 589

EP - 599

BT - Advances in Information and Communication - Proceedings of the 2020 Future of Information and Communication Conference FICC

A2 - Arai, Kohei

A2 - Kapoor, Supriya

A2 - Bhatia, Rahul

PB - Springer

Y2 - 5 March 2020 through 6 March 2020

ER -

Roa HN, Loza-Aguirre E, Flores P. Drivers and Barriers for Open Government Data Adoption: An Isomorphic Neo-Institutional Perspective. In Arai K, Kapoor S, Bhatia R, editors, 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

Abstract

Publication series

Conference

Bibliographical note

Funding

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this