Motivation, Opportunity and Risk-Taking Propensity Influence on LCIs ' Policy Formulation Ability and Engagement Behaviour: Extension of the MOA Model

Authors

  • Robinah Nabafu Department of Applied Computing and Information Technology, Faculty of Computing and Informatics, Makerere University Business School, Uganda
  • Alain Vilard Ndi Isoh Information and Communication Technology University, Cameroon http://orcid.org/0000-0002-9891-0760
  • Geoffrey Mayoka Kituyi Department of Computer Science and Engineering, Faculty of Computing and Informatics, Makerere University Business School, Uganda http://orcid.org/0000-0002-7528-2175
  • Musa Bukoma Moya Department of Applied Computing and Information Technology, Faculty of Science Education, Makerere University Business School, Uganda
  • Oneurine Ngwa Information and Communication Technology University, Cameroon
  • Victor Mbarika Information and Communication Technology University, Cameroon

Keywords:

Citizen engagement, MOA model, local council ones (LCIs), e-participation and policy formulation.

Abstract

Local Council Ones (LC1s) in Uganda are considered key in giving realistic and representative views for policy formulation following their continuous interaction with community members yet their engagement levels are still low. Low engagement in policy formulation could be attributed to limited research done in their context to know what could influence their engagement. This paper examined the role of motivation, opportunity, and risk-taking propensity in improving their ability and engagement behaviour. This study postulated that; motivation, opportunity and risk-taking propensity influence ability and engagement and the relationship between risk-taking propensity and engagement are moderated by gender. A quantitative research method was used to collect data from 185 LCIs in four cities and four districts in Uganda using a survey questionnaire. Validity and reliability of the study instrument was tested using SPSS while structural equation model for testing the formulated hypothesis was designed using SEM. Results reveal that; motivation, opportunity and risk-taking propensity influence ability. Ability, risk-taking propensity and motivation influence engagement while ability partially mediates the relationship between motivation, risk-taking propensity and engagement but fully mediates the relationship between opportunity and engagement. Gender does not moderate the relationship between risk-taking propensity and engagement. This study extended the Motivation, Opportunity, and Ability (MOA) model by adding risk-taking propensity which has a partial influence on engagement. The practical implication is that these findings can be used to improve LC1s ' engagement in policy formulation. Policy formulators should therefore put much emphasis on increasing LCIs ' motivation and risk-taking propensity by considering their views and formulating inclusive and representative policies.

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Published

2023-01-17

Issue

Vol. 17 No. 2 (2022)

Section

Articles