Factors Affecting Performance of Open Government Data Initiatives: A Multi-Method Approach Using Sem and FSQCA

Hossain, Mohammad Alamgir; Rahman, Shams; Quaddus, Mohammed; Hooi, Elsie; Olanrewaju, Abdus-Samad Temitope

doi:10.1080/10919392.2021.2018258

Cited by 15 publications

(14 citation statements)

References 63 publications

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“…The initiation phase was not presented except in Maccani, et al [ 37 ], partly because these studies were conducted in a developed nation with high IT-literate citizens, and thus, OGD initiation and creating awareness among government agencies were less crucial. Four studies highlighted the post-adoption phase of OGD [ 5 , 23 , 37 , 38 ]. Though the term these studies refer to is not specifically mentioned post-adoption, the objective of these studies was to investigate the OGD implementation or performance beyond adoption.…”

Section: Open Government Datamentioning

confidence: 99%

“…This statement holds true in the OGD context, where a study conducted by Khurshid, et al [ 72 ] has indicated that the TOE is the most utilized theory in OGD adoption research at the organizational level. In other studies, Hossain, et al [ 5 ] posits that the TOE framework does not define explicit constructs making it adaptable across several IS/IT innovations thus receiving considerable attention in OGD adoption studies.…”

Section: Theoretical Foundationmentioning

confidence: 99%

“…Weak coordination regarding the strategic advantages of innovation also contribute to resistance within the stakeholders of the organization to consider the adoption of innovation [ 101 ]. Additionally, the management level has the authority to decide which data sets can be published [ 5 ]. A study Wang and Lo [ 11 ] explored the top management factor as the most influential factor in the OGD adoption phase.…”

Section: Research Model and Hypothesismentioning

confidence: 99%

“…A study Wang and Lo [ 11 ] explored the top management factor as the most influential factor in the OGD adoption phase. Similarly, Hossain, et al [ 5 ] examined management leadership as one of the positive factors in OGD initiative performance. It is essential to investigate if this factor continues to provide the same contribution in the post-adoption of OGD.…”

Section: Research Model and Hypothesismentioning

confidence: 99%

“…Handling OGD initiatives need a substantial amount of data processing effort, starting from collecting, cleaning, harmonizing, and formatting before the data can be published [ 5 ]. Hence, it is essential for the government staff in post-adoption of OGD to be IT competent to continuously support OGD.…”

Section: Research Model and Hypothesismentioning

confidence: 99%

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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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Section: Open Government Datamentioning

confidence: 99%

Section: Theoretical Foundationmentioning

confidence: 99%

Section: Research Model and Hypothesismentioning

confidence: 99%

Section: Research Model and Hypothesismentioning

confidence: 99%

Section: Research Model and Hypothesismentioning

confidence: 99%

See 3 more Smart Citations

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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Data-driven innovation development: an empirical analysis of the antecedents using PLS-SEM and fsQCA

et al. 2022

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Data-driven innovation (DDI) is a primary source of competitive advantage for firms and is a contemporary research priority. However, what facilitates the development of DDI has largely been understudied in literature. Through a systematic literature review, this study finds technological, organizational, and environmental variables under the TOE framework, which would drive effective DDI development. We thus develop a research model, which is tested using survey data from 264 Australian firms engaged in DDI development. The data have been analysed using both symmetric (partial least squares based structural equation modelling (PLS-SEM)) and asymmetric (fuzzy-set qualitative comparative analysis (fsQCA)) methods. The mixed method enhances the confidence in our empirical analyses of the antecedent variables of DDI development. PLS-SEM has revealed that technological readiness (i.e., data quality and metadata quality), and organizational absorptive capacity and readiness (i.e., technology-oriented leadership and availability of IT skilled professionals) affect DDI development. Our fsQCA results complement and extend the findings of PSL-SEM analysis. It reveals that quality of data and metadata, technology-oriented leadership, and exploitation capacity individually are necessary—but are not sufficient—conditions for high DDI development. Further, it identifies three different solutions each for small, medium, and large firms by combining the TOE factors. Additionally, this study suggests that the TOE framework is more applicable to small firms, on DDI context. Findings of our study have been related with theoretical and practical implications.

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Public value creation through the use of open government data in Australian public sector: A quantitative study from employees' perspective

Benmohamed,

Shen,

Vlahu-Gjorgievska

2024

Government Information Quarterly

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Factors Affecting Performance of Open Government Data Initiatives: A Multi-Method Approach Using Sem and FSQCA

Cited by 15 publications

References 63 publications

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

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

Data-driven innovation development: an empirical analysis of the antecedents using PLS-SEM and fsQCA

Public value creation through the use of open government data in Australian public sector: A quantitative study from employees' perspective

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