Looking for datasets to open: An exploration of government officials' information behaviors in open data policy implementation

Yang, Tung-Mou; Wu, Yi-Jung

doi:10.1016/j.giq.2021.101574

Cited by 12 publications

(14 citation statements)

References 28 publications

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“…What emerges is a picture of responsibility and accountability: both a perceived duty to research participants and subjects (or those served by government), and the understanding that mistakes would have consequences for both the data owner and the data subject (e.g. Yang and Wu, 2021). This is consistent with the norms in research and government.…”

Section: Real or Perceived Skill And Knowledge Gapsmentioning

confidence: 65%

“…There is some evidence that these ideals are more motivating later in one's career (Elsayed & Saleh, 2018). There is some evidence that the drivers of data sharing exert influence at different stages: early on, when there is little data sharing, leadership, authority, and mandates are more influential; later in data sharing projects, the behavior of peers is more influential (Yang & Wu, 2021). This suggests an initial and short-term role for extrinsic motivation may be desirable.…”

Section: Mitigationsmentioning

confidence: 99%

“…Stieglitz et al (2020) report that perceived career disadvantages and advantages were significant drivers of research data sharing intentions.This cost-benefit calculation is sometimes explicit. For example,Yang et al (2021) quote a participant as saying "If no one is interested in using the datasets we open, it doesn't make sense for us to implement open data…". 28% of respondents in another study identified "wasting time making[data] available" as a concern about data sharing(Aleixandre-Benavent et al, 2020).…”

mentioning

confidence: 99%

See 2 more Smart Citations

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Smit¹,

Larose²,

Falvey³

et al. 2022

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Section: Real or Perceived Skill And Knowledge Gapsmentioning

confidence: 65%

Section: Mitigationsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Smit¹,

Larose²,

Falvey³

et al. 2022

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“…Many studies have identified the benefits of OGD to society; however, little is known about whether OGD provides the same benefits to data provider organizations. For example, in Yang and Wu [ 89 ], the researchers found that the government agencies perceived that the OGD would give an advantage to the agency’s governance performance. With effective governance in place, the government agency would be able to prioritize which datasets can be made public and plan the next steps.…”

Section: Research Model and Hypothesismentioning

confidence: 99%

“…With effective governance in place, the government agency would be able to prioritize which datasets can be made public and plan the next steps. The analysis by Yang and Wu [ 89 ] also revealed that the government agencies were concerned about whether the published datasets would attract the public to use them because unused datasets undermine the government agencies’ commitment to OGD. In order to find the equilibrium, it will therefore be anticipated that data providers perceived OGD post-adoption would provide benefits to the organization in the long term.…”

Section: Research Model and Hypothesismentioning

confidence: 99%

Factors influencing open government data post-adoption in the public sector: The perspective of data providers

Mustapa

Hamid²,

Nasaruddin³

2022

PLoS ONE

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Providing access to non-confidential government data to the public is one of the initiatives adopted by many governments today to embrace government transparency practices. The initiative of publishing non-confidential government data for the public to use and re-use without restrictions is known as Open Government Data (OGD). Nevertheless, after several years after its inception, the direction of OGD implementation remains uncertain. The extant literature on OGD adoption concentrates primarily on identifying factors influencing adoption decisions. Yet, studies on the underlying factors influencing OGD after the adoption phase are scarce. Based on these issues, this study investigated the post-adoption of OGD in the public sector, particularly the data provider agencies. The OGD post-adoption framework is crafted by anchoring the Technology–Organization–Environment (TOE) framework and the innovation adoption process theory. The data was collected from 266 government agencies in the Malaysian public sector. This study employed the partial least square-structural equation modeling as the statistical technique for factor analysis. The results indicate that two factors from the organizational context (top management support, organizational culture) and two from the technological context (complexity, relative advantage) have a significant contribution to the post-adoption of OGD in the public sector. The contribution of this study is threefold: theoretical, conceptual, and practical. This study contributed theoretically by introducing the post-adoption framework of OGD that comprises the acceptance, routinization, and infusion stages. As the majority of OGD adoption studies conclude their analysis at the adoption (decisions) phase, this study gives novel insight to extend the analysis into unexplored territory, specifically the post-adoption phase. Conceptually, this study presents two new factors in the environmental context to be explored in the OGD adoption study, namely, the data demand and incentives. The fact that data providers are not influenced by data requests from the agency’s external environment and incentive offerings is something that needs further investigation. In practicality, the findings of this study are anticipated to assist policymakers in strategizing for long-term OGD implementation from the data provider’s perspective. This effort is crucial to ensure that the OGD initiatives will be incorporated into the public sector’s service thrust and become one of the digital government services provided to the citizen.

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A privacy risk identification framework of open government data: A mixed-method study in China

Li,

Yang,

2024

Government Information Quarterly

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Looking for datasets to open: An exploration of government officials' information behaviors in open data policy implementation

Cited by 12 publications

References 28 publications

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Individual Perspectives on Data Sharing: Human Factors Impacting the Digital Economy

Factors influencing open government data post-adoption in the public sector: The perspective of data providers

A privacy risk identification framework of open government data: A mixed-method study in China

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