Open government data (OGD) has gained much attention worldwide; however, there is still an increasing demand for exploring research from the perspective of its adoption and diffusion. Policymakers expect that OGD will be used on a large scale by the public, which will result in a range of benefits, such as: faith and trust in governments, innovation and development, and participatory governance. However, not much is known about which factors influence the citizens’ intention to use OGD. Therefore, this research aims at empirically investigating the factors that influence citizens’ intention to use OGD in a developing country using information systems theory. Improved knowledge and understanding of the influencing factors can assist policymakers in determining which policy initiatives they can take to increase the intention to widely use OGD. Upon conducting a survey and performing analysis, findings reveal that perceived usefulness, social approval, and enjoyment positively influences intention, whereas voluntariness of use negatively influences OGD use. Further, perceived usefulness is significantly affected by perceived ease of use, and OGD use is significantly affected by OGD use intention. However, surprisingly, the intention to use OGD is not significantly affected by perceived ease of use. The policymakers suggest increasing the intention to use OGD by considering significant factors.

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.

Purpose: The purpose of this paper is to empirically demonstrate how knowledge management, particularly knowledge integration (KI), acts as a mediator in enterprise systems (ES) post-implementation stage and how transactional and transformational leadership styles are impacted toward ES success.Design/methodology/approach: Drawing on the insights of 508 valid respondents from various business backgrounds that used ES in Malaysia, structural equation modeling was employed and the path modeling approach was used to investigate the underlying relationships between variables. The mediating effects were tested using the bootstrapping procedures presented by Preacher and Hayes.Findings: The results support the mediating effects of KI mechanisms and both leadership styles toward ES success. The analysis revealed the importance of KI in an organization, especially by the leaders who manage the complexity of the ES in the post-implementation stage.Research limitations/implications: The study can be extended by analyzing other leadership styles in-detail.Practical implications: This paper is useful for practitioners as it acts as a guide to conduct management practice for business managers.Originality/value: The results demonstrate the importance of leaders’ adoption of KI mechanisms in various business domains. This study approach can be used to investigate which sub-items of the leadership styles are more likely to promote KI mechanisms.

The use of Social Media in Knowledge Integration for Improving Disaster Emergency Management Task Performance: Review of Flood Disasters

Activities related to Enterprise Systems (ES) are knowledge-intensive tasks, and the management of ES-related knowledge has received much attention in the Knowledge Management (KM) field. A systematic literature review of empirical studies of KM processes in the ES lifecycle identifies the KM processes most widely explored and the ES-related knowledge most often addressed. From 350 relevant book chapters, journal articles, and conference papers, 49 papers discuss KM processes in the ES lifecycle. The KM process that appears most often in studies of KM in the ES context is knowledge transfer/sharing. The type of ES-related knowledge most often studied in the literature is knowledge of the client organization.