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

By Anneke Zuiderwijk, Marijn Janssen, Yogesh Kumar Dwivedi. Government Information Quarterly, 2015

369 citations recorded by the source corpus.

Abstract Policy-makers expect that open data will be accepted and used more and more, resulting in a range of benefits including transparency, participation and innovation. The ability to use open data partly depends on the availability of open data technologies. However, the actual use of open data technologies has shown mixed results, and there is a paucity of research on the predictors affecting the acceptance and use of open data technologies. A better understanding of these predictors can help policy-makers to determine which policy instruments they can use to increase the acceptance and use of open data technologies. A modified model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) is used to empirically determine predictors influencing the acceptance and use of open data technologies. The results show that the predictors performance expectancy, effort expectancy, social influence, facilitating conditions and voluntariness of use together account for 45% of the variability in people's behavioral intention to use open data technologies. Except for facilitating conditions, all these predictors significantly influence behavioral intention. Our analysis of the predictors that influence the acceptance and use of open data technologies can be used to stimulate the use of open data technologies. The findings suggest that policy-makers should increase the acceptance and use of open data technologies by showing the benefits of open data use, by creating awareness of users that they already use open data, by developing social strategies to encourage people to stimulate each other to use open data, by integrating open data use in daily activities, and by decreasing the effort necessary to use open data technologies.

Subfields: Information Systems and Management, Political Science and International Relations, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a179ff0fdc37785321c1d547e5d849e1fd3bc192

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In Information Systems and Management

  1. Nripendra P. Rana
  2. Yogesh Kumar Dwivedi
  3. Ali Abdallah Alalwan
  4. Michael D. Williams
  5. Marc Clement
  6. Anand Jeyaraj
  7. Kuttimani Tamilmani
  8. Samuel Fosso Wamba

In Political Science and International Relations

  1. Yogesh Kumar Dwivedi
  2. Nripendra P. Rana
  3. Michael D. Williams
  4. Marc Clement
  5. Ali Abdallah Alalwan
  6. Kuttimani Tamilmani
  7. Pushp P. Patil

In Sociology and Political Science

  1. Nripendra P. Rana
  2. Yogesh Kumar Dwivedi
  3. Ali Abdallah Alalwan
  4. Michael D. Williams
  5. Marc Clement
  6. Anand Jeyaraj
  7. Kuttimani Tamilmani
  8. Samuel Fosso Wamba

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