Exploring continuance usage intention toward open government data technologies: an integrated approach

Factors influencing the adoption of e-government by female university students

The primary purpose of electronic government (e-government) is to promote transparency, facilitate access to government services, and strengthen the accountability of public institutions in the digital transformation age. However, few studies have explored the factors that affect women's adoption of e-government, especially in emerging economies. Consequently, this study aims to identify the factors that influence the adoption of e-government services by young women in Medellín, Colombia. To achieve this objective, a questionnaire was administered to a sample of 223 women, focusing on the factors proposed in the Technology Acceptance Model (TAM). The results were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings confirmed the validity of both the measurement and structural models, providing evidence for their predictive power. In addition, seven out of the eight hypotheses were confirmed, particularly highlighting the positive influence of ease of use on perceived usefulness, as well as the positive relationship between intention to use and actual use of the system. The results underscore the importance of reaching a more equitable and empowering participation of women in the digital government sphere. Moreover, they provide valuable insights for formulating policies and strategies that promote the effective adoption of e-government services by the demographic group under study.

Application of Open Government Data to Sustainable City Indicators: A Megacity Case Study

The access to open government data has been a relevant topic for societies around the world, especially over the last ten years. This paper aims to analyze the indicators of the São Paulo City Observatory (ObservaSampa), confronting them with the ISO 3712x series (sustainable, smart, and resilient cities) standards, to assess if the former meet both open data principles and the ISO prescriptions. Bibliometric analysis, comparative analysis, cluster analysis, and principal component analysis (PCA) were the methods used in this research. From the comparative analysis, 18 indicators were identified as conforming and 41 as partially conforming. Thus, 20% of the ObservaSampa indicators adhere to the ISO standards. The PCA applied to the conforming indicators shows component 1 is related to socioeconomic dimensions, while component 2 refers to social policy, with both appraisals confirmed by cluster analysis. Measuring and presenting city data in compliance with indicator standards is relevant because they open the possibility of comparing different cities. However, there is still a lack of consensus on a common set of indicators to be accommodated within the current ISO standards system.

Factors Influencing Citizens’ Intention to Use Open Government Data—A Case Study of Pakistan

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.