DOI: 10.5061/dryad.z08kprrcs
title: Factors influencing open government data post-adoption in the public sector: The perspective of data providers

description: 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.
description: The data was collected using a survey questionnaire as presented
 in the manuscript. The survey questionnaire was developed on an online
 survey platform. The data was processed in Microsoft Excel before
 converting to Comma Separated Values (CSV). 
description: This data is suitable to load into any Partial Least
 Square-Structure Equation Modeling (PLS-SEM) analysis software. The author
 used SmartPLS software for Partial Least Square-Structure Equation
 Modeling (PLS-SEM) analysis. The software can be obtained from https://www.smartpls.com/. <strong>Mustapa2019_PostAdoption-of-OGD-in-Malaysian-public-sector_PLS-SEM.csv</strong> This file contains data to run in any PLS-SEM software. <strong>Metadata_Mustapa2019.pdf</strong> This file contains metadata that describes every variable in the <strong>Mustapa2019_PostAdoption-of-OGD-in-Malaysian-public-sector_PLS-SEM.csv </strong>file.