Effects of Predictors of Citizens' Attitudes and Intention to Use Open Government Data and Government 2.0

https://doi.org/10.1016/j.giq.2021.101663Get rights and content

Highlights

  • In Brazil, public value creation from open and 2.0 governments might be under threat!

  • Brazilian citizens are not empowered enough to social control through open data

  • Public managers and politicians need to address deficits to stimulate the citizens

  • Also, address politicians' job performance improvement and less restrictive law

  • Education, income and region influence ease of use and usefulness of open data

Abstract

This research proposes a holistic and integrative theoretical model to discuss the effects of eight predictors of citizens' attitudes towards open government and Government 2.0, and whether these attitudes influence their intention to use open government data in Brazil, one of the founding countries of the Open Government Partnership (OGP). 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. This study also indicates that education, income, and region influence the ease of use and usefulness of open data. These findings also mean that public managers and political parties still have “homework’ to do to stimulate citizens' behavior towards open government and government 2.0. These initiatives encompass the government portals quality and data transparency improvement through less restrictive laws. Also, improve politicians' job performance.

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

Supplementary material

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.

References (96)

  • H. Jafarkarimi et al.

    Behavioral intention in social networking sites ethical dilemmas: An extended model based on theory of planned behavior

    Computers in Human Behavior

    (2016)
  • E. Kim et al.

    Predicting selfie-posting behavior on social networking sites: An extension of theory of planned behavior

    Computers in Human Behavior

    (2016)
  • G. Lee et al.

    An open government maturity model for social media-based public engagement

    Government Information Quarterly

    (2012)
  • L. Ma et al.

    National e-government performance and citizen satisfaction: A multilevel analysis across European countries

    International Review of Administrative Sciences

    (2017)
  • S. Ozkan et al.

    E-government adoption model based on theory of planned behavior: Empirical validation

    Government Information Quarterly

    (2011)
  • R.M. Ryan et al.

    Intrinsic and extrinsic motivations: Classic definitions and new directions

    Contemporary Educational Psychology

    (2000)
  • U. Sivarajah et al.

    Evaluating the use and impact of web 2.0 technologies in local government

    Government Information Quarterly

    (2015)
  • F. Wijnhoven et al.

    Open government objectives and participation motivations

    Government Information Quarterly

    (2015)
  • A. Zuiderwijk et al.

    Acceptance and use predictors of open data technologies: Drawing upon the unified theory of acceptance and use of technology

    Government Information Quarterly

    (2015)
  • I. Ajzen et al.

    Understanding attitudes and predicting social behavior

    (1980)
  • I. Ajzen et al.

    The influence of attitudes on behaviour

    The handbook of attitudes

    (2005)
  • L. Alcaide Muñoz et al.

    Transparency in governments: A meta-analytic review of incentives for digital versus hard-copy public financial disclosures

    The American Review of Public Administration

    (2017)
  • A. Anttiroiko

    Innovation in democratic E-governance: Benefitting from web 2.0 applications in the public sector

    International Journal of Electronic Government Research

    (2010)
  • G. Ariely

    Public administration and citizen satisfaction with democracy: Cross-national evidence

    International Review of Administrative Sciences

    (2013)
  • A.R. Barbosa

    Perfil da produção científica brasileira sobre governo eletrônico

    Revista Eletrônica Gestão e Serviços

    (2017)
  • D.W. Barclay et al.

    The partial least squares approach to causal modeling: Personal computer adoption and use as illustration

    Technology Studies

    (1995)
  • Brasil

    Decree no 9.716, 26 February 2019. Repeals provisions that regulate Law no. 12,527, of November 18, 2011 – Information Access Law

    (2019)
  • Brasil

    Law no. 12,527, of November 18, 2011 – Information Access Law. Regulates access to information

    (2011)
  • F. Chiang et al.

    Students’ attitudes toward using innovative information technology for learning based on theory of planned behavior

    International Journal of Advanced Corporate Learning (iJAC)

    (2009)
  • W.W. Chin

    The partial least squares approach to structural equation modeling

  • W.W. Chin

    Issues and opinions on SEM

    Management Information Systems Quarterly

    (1998)
  • S. Chun et al.

    Government 2.0: Making connections between citizens, data and government

    Information Polity

    (2010)
  • J. Cohen

    Statistical power analysis for the behavioral sciences

    (1988)
  • M. Conner et al.

    The theory of planned behavior and healthy eating

    Health Psychol.

    (2002)
  • M.A.V.C.D. Cunha et al.

    Dados abertos nos municípios, estados e governo federal brasileiros

  • F.D. Davis

    A technology acceptance model for empirically testing new end-user information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology)

    (1986)
  • I. Davis et al.

    Participatory development in South Africa: A development management perspective

    (2004)
  • E.L. Deci et al.

    Intrinsic motivation and self-determination in human behavior

    (1985)
  • A. Duţu et al.

    Community participation for an open public administration: Empirical measurements and conceptual framework design

    Cogent Business & Management

    (2017)
  • FGV. Fundação Getulio Vargas

    Programa de Transparência Pública

  • M. Fishbein et al.

    Belief, attitude, intention and behavior: An introduction to theory and research

    (1975)
  • C. Fornell et al.

    Evaluating structural equation models with unobservable variables and measurement error

    J Mark Res.

    (1981)
  • S. Ganapati et al.

    The use of ICT for open government in US municipalities: Perceptions of chief administrative officers

    Public Performance & Management Review

    (2014)
  • M. Gascó

    Special issue on open government: An introduction

    Social Science Computer Review

    (2015)
  • M.D.G.M. Gohn

    Manifestações de protesto nas ruas no Brasil a partir de Junho de 2013: novíssimos sujeitos em cena

    Revista Diálogo Educacional

    (2016)
  • S.G. Grimmelikhuijsen et al.

    Developing and testing an integrative framework for open government adoption in local governments

    Public Administration Review

    (2016)
  • J.F. Hair et al.

    PLS-SEM: Indeed a silver bullet

    Journal of Marketing Theory and Practice

    (2011)
  • J.F. Hair et al.

    An assessment of the use of partial least squares structural equation modeling in marketing research

    Journal of the Academy of Marketing Science

    (2012)
  • Cited by (29)

    View all citing articles on Scopus

    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).

    View full text