Towards a Research Model of Post-adoption of Open Government Data in Malaysia’s Public Sector

Mustapa, Mimi Nurakmal; Nasaruddin, Fariza Hanum; Hamid, Sharifah Bee Binti O.A Abd

doi:10.1109/icim49319.2020.244679

Cited by 7 publications

(7 citation statements)

References 19 publications

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“…The extent of OGD openness was measured using the production and popularity of datasets on the OGD portal. Other methods to propose the OGD adoption models/frameworks include, for instance, (1) combining systematic literature review (SLR) and employing information systems (IS) theory [10,23,50], and (2) combining SLR, IS theory and an evaluation of the most important predictors by experts' reviews [53].…”

Section: Proposed Conceptual Model and Theoretical Modelmentioning

confidence: 99%

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

et al. 2020

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Open government data (OGD) has huge potential to increase transparency, accountability, and participation while improving efficiency in operations, data-driven and evidence-based policymaking, and trust in government institutions. Despite its potential benefits, OGD has not been widely and successfully adopted in public sector organizations, particularly in developing countries. Therefore, the purpose of this study is to explore the theories/frameworks and potential determinants that influence the OGD adoption in public sector organizations. To ascertain the various determinants of OGD adoption in public sector organizations, this study involved a systematic review of already established theories and determinants addressed in the public sector open data domain. The review revealed that the TOE (technology, organization, environment) framework was dominantly employed over theories in the earlier studies to understand organizational adoption to OGD followed by institutional theory. The results, concerning potential determinants, revealed that some of the most frequently addressed determinants are an organization’s digitization/digitalization capacity, compliance pressure, financial resources, legislation, policy, regulations, organizational culture, political leadership commitment, top-management support, and data quality. The findings will enrich researchers to empirically investigate the exposed determinants and improve the understanding of decision-makers to leverage OGD adoption by taking relevant measures.

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Section: Proposed Conceptual Model and Theoretical Modelmentioning

confidence: 99%

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

et al. 2020

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“…The whole concept of openness rotates around data holding by public bodies. Therefore, the quality of data and information is the main concern of decision-makers to adopt OGD because the definition of open data itself is inherently influenced by the quality criteria of data [28]. This factor is not only the main concern in adoption [7] but also in the postadoption phase of openness of government data [28].…”

Section: Data/metadata Qualitymentioning

confidence: 99%

“…Therefore, the quality of data and information is the main concern of decision-makers to adopt OGD because the definition of open data itself is inherently influenced by the quality criteria of data [28]. This factor is not only the main concern in adoption [7] but also in the postadoption phase of openness of government data [28]. Data is also different from the government departments as another respondent highlights that "…the quality of data is also not very consistent.…”

Section: Data/metadata Qualitymentioning

confidence: 99%

An Intention-Adoption Behavioral Model for Open Government Data in Pakistan’s Public Sector Organizations–An Exploratory Study

Khurshid¹,

Zakaria²,

Arfeen³

et al. 2020

Re-Imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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“…The incentives include monetary or non-monetary rewards such as training opportunities, compliments, or recognition from the organization's management to bring about a desired behavioral shift [39,111]. Furthermore, the involvement of government agencies in OGD initiatives was mostly voluntary; therefore, acknowledging their contributions is justified [112]. The incentives factor aims to investigate whether the incentives positively influence the post-adoption of OGD.…”

Section: Incentivesmentioning

confidence: 99%

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

Mustapa

Hamid²,

Nasaruddin³

2022

PLoS ONE

Self Cite

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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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Towards a Research Model of Post-adoption of Open Government Data in Malaysia’s Public Sector

Cited by 7 publications

References 19 publications

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

Modeling of Open Government Data for Public Sector Organizations Using the Potential Theories and Determinants—A Systematic Review

An Intention-Adoption Behavioral Model for Open Government Data in Pakistan’s Public Sector Organizations–An Exploratory Study

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

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