Effects of Predictors of Citizens' Attitudes and Intention to Use Open Government Data and Government 2.0
Introduction
Therefore, academic and professional scenarios have faced new research questions and new challenges due to the combination of e-government with the continuous advance of technology (Wirtz & Daiser, 2018). Similarly, the emergence of further information and communication technologies has led to innovations in the democratic process based on the transparency of government actions, citizens' political participation, and collaboration between governments and citizens (Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b). These three aspects constitute the principles of open government (Chun, Shulman, Sandoval, & Hovy, 2010; Lee & Kwak, 2012), gaining attention from the public and the scientific community (Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b) and popularity in the political landscape (Meijer, Curtin, & Hillebrandt, 2012).
Open government is ‘the extent to which external actors can monitor and influence government processes through access to government information and decision-making arenas’ (Grimmelikhuijsen & Feeney, 2016, p. 4). It is a concept that relates access to government information to the public's view and access to decision-making areas to the public's voice (Meijer et al., 2012). Open government is an innovation arising from the electronic government concept but with a higher focus on information (Abu-Shanab, 2015). In this context, innovative resources contribute to the e-government system. For instance, online communities and social networks, which are part of a new Web 2.0, inserted in the public area, became known as government 2.0. This innovative approach enables governments to assess their duty in society and their relationship with citizens (Anttiroiko, 2010).
Thus, ‘open Government and Government 2.0 seem to be, respectively, the new ends and new means of e-government’ (Nam, 2012, p. 347). In this sense, open government as a political attitude or process manifests itself through open government data (Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b). In this research, we follow the concept of Janssen, Charalabidis and Zuiderwijk (2012, p. 258), which open data ‘as non-privacy-restricted and non-confidential data which is produced with public money and is made available without any restrictions on its usage or distribution’. Open data trigger more participation and engagement with government and represents a materialized example of open government's central values (Susha, Zuiderwijk, Janssen, & Grönlund, 2015).
Given the configuration of attitudes and intentions as antecedents of actual behavior (Ajzen & Fishbein, 2005), this study proposes a more holistic and integrative theoretical model to discuss, in Brazil, the effects of predictors of citizens' attitudes towards open government and the Government 2.0, furthermore, whether these attitudes influence their intention to use open government data. In particular, eight predictors – ease of use, usefulness, extrinsic and intrinsic motivation, internet competence, political satisfaction, trust in government and intensity of internet use.
Several studies have already shown some factors that may impact ‘citizens’ attitudes towards e-government and open government and their intention to use open government data. Factors such as perceived ease of use (Sipior, Ward, & Connolly, 2011; Wang & Lo, 2013); motivation (Hutter, Füller, & Koch, 2011; Purwanto, Zuiderwijk, & Janssen, 2018) and trust in government (Horsburgh, Goldfinch, & Gauld, 2011; Nam, 2012).
However, open government research is still in its embryonic state (Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b) since the use of open data is still recent, requiring a more significant political and social maturity (Cunha et al., 2015). As there are recommendations to understand this issue in other countries (Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b), it is appropriate to conduct this research, particularly in Brazil, one of the founding countries of the Open Government Partnership (OGP). This initiative was launched in September 2011 by eight countries (Brazil, Indonesia, Mexico, Norway, the Philippines, South Africa, the United Kingdom, and the United States) committed to making their governments more open and accountable to their citizens (OGP – Open Government Partnership, 2018). The current Brazilian political context, in part due to the crisis caused by the denunciation of corrupt acts from 2015 (Gohn, 2016) and the expected reduction of corruption as one of the benefits of open government (Meijer et al., 2012), corroborates the relevance of this research.
Moreover, as for citizens' attitudes, there is a need for more empirical research (Nam, 2012; Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b). There are gaps in whether citizens who are dissatisfied with the current political situation are willing to contribute to open government initiatives (Wijnhoven, Ehrenhard, & Kuhn, 2015). Finally, most national studies on e-government use qualitative methods, with themes related to history, evolution and characteristics, accountability, internet purchases and open government data (Barbosa, 2017), with no quantitative approaches such as the proposal of this research.
The main research contribution is to show the effects of primary predictors already considered in the international literature in the attitudes and intention to use open government in a more holistic and integrative theoretical model, in Brazil, one of the founding countries of the Open Government Partnership (OGP) initiative. The countries that founded this initiative – Brazil, Indonesia, Mexico, Norway, the Philippines, South Africa, the United Kingdom, and the United States – have different social, political, economic and cultural contexts. Therefore, the predictors' effects are not necessarily the same among these countries due to their idiosyncrasies. Also, Brazil is one of the leading economies worldwide, the largest economy in Latin American. Therefore, it is necessary to understand this public administration phenomenon, especially nowadays, considering the pandemic Covid-19. According to World Health Organization (2021), Brazil occupies the second position for confirmed cases (11,603,535) and deaths (282,17). The data are from the open data from the states.
Section snippets
Government 2.0, open government and open data
For Bertot, Jaeger, and Grimes (2010) and Bertot, Jaeger, and Hansen (2012), the term web 2.0 refers to social media, including blogs, Facebook, Twitter, YouTube, a set of online tools which favor social interaction. For Sivarajah, Irani, and Weerakkody (2015), governments use these second-generation web-based technologies to formulate open policies, communication campaigns, and public service.
The impacts of web 2.0 on the public sector occur in several ways. News and information to citizens
Methodological procedures
The present study is a quantitative, descriptive, and cross-sectional approach. The target audience and the sample consist of Brazilian citizens. Thus, it is a non-probabilistic sample, due to accessibility, composed of people willing to answer the questionnaire available in the Google Forms tool. The link was sent to researchers' contacts and groups through WhatsApp, Facebook, and E-mail. The researchers asked the respondents to share the link with other citizens in the message, generating the
The validity of the measurement model
Concerning convergent validity (Table 1), the first criteria considered the analysis of external loadings. As a result, the loads were above 0,70 for most variables, except for ATEG3 = 0,612. Cronbach's Alpha was above 0,70 for most latent variables, except for ‘trust in government’, 0,672. Despite this result, as shown in Table 2, for all constructs, the composite reliability (CR) is at least 0,70, and the extracted average variance (AVE) is at least 0,50, meeting the criteria of Hair et al.
Additional analysis
Since this study is about attitudes and intentions of Brazilian citizens towards open and electronic government, we also provided a multigroup comparison analysis between pre-defined data groups – gender, age, marital status, education, income, and region.
Gender refers to male and female respondents. In Brazil, women comprise 52%, and men 48% of the population (Pnad, 2019). The age group refers to millennials (up to 29 years old), including two younger generation cohorts – millennials and
Discussion of results
Findings show the effects of six predictors of citizens' attitudes towards open government and government 2.0. In essence, these predictors are ease of use, usefulness, intrinsic motivation, political satisfaction, government trust, and intensity of internet use.
On the one hand, it is worth mentioning that the ease of use impacts the perception of the usefulness of open government data and corroborates the study by Wirtz, Weyerer and Rösch, 2017a, Wirtz, Weyerer and Rösch, 2017b, in Germany, by
Final considerations
In the theoretical part, firstly, the study contributes to showing the effects of six predictors of citizens' attitudes towards open government and government 2.0 in a country that is a signatory to the Open Government Partnership (Open Government Partnership - OGP). Emerging countries, such as Brazil, face the challenge of improving the internet access infrastructure and attract their citizens to get involved in open data. Doing so, this study contributes to showing research in other
Supplementary data
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
We acknowledge the funding from 14o Academic Excellence Award from Fucape Business School.
Ariel Antônio Conceição de Souza Bachelor of Science in Accounting from the State University of Bahia (UNEB) and a Master's in Controllership and Public Accounting from Fucape Business School.
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Ariel Antônio Conceição de Souza Bachelor of Science in Accounting from the State University of Bahia (UNEB) and a Master's in Controllership and Public Accounting from Fucape Business School.
Marcia Juliana d'Angelo Associate Professor of Strategy & Organization at Fucape Business School. Ph.D. and Master in Business Administration (with distinction) from Universidade Presbiteriana Mackenzie. She also holds a Master of Business Administration (MBA) degree from Warwick Business School, England. Coordinator and researcher of the Center for Studies in Sustainability of Organizations (CESO) at Fucape Business School. Member of the Scientific Editorial Board of the Brazilian Business Review (BBR). A reviewer of national and international journals.
Raimundo Nonato Lima Filho PhD in Controllership and Accounting from the University of São Paulo (USP) and PhD in Administration from the Federal University of Bahia (UFBA), he has a Post-Doctorate degree from the Federal University of Paraíba (UFPB). He is a Professor at the University of Pernambuco (UPE) and the Educational Authority of the São Francisco Valley (AEVSF).