Home Research Profile Publications Awards Contact

Dr. Maxat Kassen's photo

Dr. Maxat Kassen's research publications


1. Kassen, M. (2022). Open Data Governance and Its Actors. Palgrave Macmillan: London.

2. Kassen, M. (2019). Open Data Politics. Springer: Switzerland.

3. Kassen, M. (2016). E-government in Kazakhstan. Routledge: London.

4. Kassen, M. (2015). Understanding Systems of e-Government. Rowman & Littlefield: New York.

Journal Articles (Impact Factor):

  1. Kassen, M. (2024). Blockchain and public service delivery: a lifetime cross-referenced model for e-government. Enterprise Information Systems, 18(4), pp. 498-531. Impact factor: 4.1 (Web of Science). CiteScore: 10.4 (Scopus Q1).

  2. Kassen, M. (2024). Prospects of blockchain governance: understanding key public values, principles, challenges and opportunities. Policy & Internet, 16(1), pp. 33-64. Impact factor: 4.9 (Web of Science). CiteScore: 6.0 (Scopus Q1).

  3. Kassen, M. (2023). Covid-19 pandemic and digital public awareness platforms: strategies, solutions, and tools of communication and e-government data management. Preservation, Digital Technology & Culture, 52(2), pp. 69-82. CiteScore: 1.3 (Scopus Q2).

  4. Kassen, M. (2023). Blockchain and digital governance: Decentralization of decision making policy. Review of Policy Research. Impact factor: 2.1 (Web of Science). CiteScore: 4.0 (Scopus Q1).

  5. Kassen, M. (2023). Curbing the COVID-19 digital infodemic: strategies and tools. Journal of Public Health Policy. Impact factor: 3.8 (Web of Science). CiteScore: 4.9 (Scopus Q1).

  6. Kassen, M. (2022). Blockchain and e-government innovation: Automation of public information processes. Information Systems, 103/101862. Impact factor: 3.18 (Web of Science). CiteScore: 7.9 (Scopus Q1).

  7. Kassen, M. (2021). Understanding decentralized civic engagement: Focus on peer-to-peer and blockchain-driven perspectives on e-participation. Technology in Society, 66/101650. Impact factor: 6.879 (Web of Science). CiteScore: 11.2 (Scopus Q1).

  8. Kassen, M. (2021). Understanding motivations of citizens to reuse open data: open government data as a philanthropic movement. Innovation: Organization & Management, 23(1), pp.44-70. Impact factor: 2.453 (Web of Science). CiteScore: 5.4 (Scopus Q2).

  9. Kassen, M. (2020). E-participation actors: understanding roles, connections, partnerships. Knowledge Management Research & Practice, 18(1), pp. 16-37. Impact factor: 3.054 (Web of Science). CiteScore: 6.3 (Scopus Q1).

  10. Kassen, M. (2020). Open data and its peers: understanding promising harbingers from Nordic Europe. Aslib Journal of Information Management. 72(5), pp. 765-785. Impact factor: 1.935 (Web of Science). CiteScore: 3.9 (Scopus Q2).

  11. Kassen, M. (2020). Politicization of e-voting rejection: reflections from Kazakhstan. Transforming Government: People, Process and Policy, 14(2), pp.305-330. CiteScore: 5.0 (Scopus Q2).

  12. Kassen, M. (2019). Open data and e-government–related or competing ecosystems: a paradox of open government and promise of civic engagement in Estonia. Information Technology for Development, 25(3), pp. 552-578. Impact factor: 4.261 (Web of Science). CiteScore: 8.5 (Scopus Q1).

  13. Kassen, M. (2019). Building digital state: Understanding two decades of evolution in Kazakh e-government project. Online Information Review, 43(2), pp.301-323. Impact factor: 2.901 (Web of Science). CiteScore: 5.4 (Scopus Q1).

  14. Kassen, M. (2019). Promoting public cooperation in government: key drivers, regulation, and barriers of the e-collaboration movement in Kazakhstan. International Review of Administrative Sciences, 85 (4), pp. 743-762. Impact factor: 3.564 (Web of Science). CiteScore: 5.4 (Scopus Q1).

  15. Kassen, M. (2019). What does it mean to be a political scientist in a transitional society? Reflections from Kazakhstan. Political Studies Review, 17(2), 175-195. Impact Factor: 3.248 (Web of Science). CiteScore: 5.2 (Scopus Q1).

  16. Kassen, M. (2018). Adopting and managing open data: Stakeholder perspectives, challenges and policy recommendations. Aslib Journal of Information Management, 70(5), pp.518-537. Impact factor: 1.935 (Web of Science). CiteScore: 3.9 (Scopus Q2).

  17. Kassen, M. (2018). Open data and its intermediaries: a cross-country perspective on participatory movement among independent developers. Knowledge Management Research & Practice, 16(3), pp.327-342. Impact factor: 3.054 (Web of Science). CiteScore: 6.3 (Scopus Q1).

  18. Kassen, M. (2018). Open data and its institutional ecosystems: A comparative cross-jurisdictional analysis of open data platforms. Canadian Public Administration, 61(1), pp.109–129. Impact factor: 1.0 (Web of Science). CiteScore: 1.4 (Scopus Q3).

  19. Kassen, M. (2018). Understanding foreign policy strategies of Kazakhstan: a case study of the landlocked and transcontinental country. Cambridge Review of International Affairs, 31(3-4), pp.314-343. Impact factor: 2.492 (Web of Science). CiteScore: 4.5 (Scopus Q1).

  20. Kassen, M. (2017). Understanding transparency of government from a Nordic perspective: open government and open data movement as a multidimensional collaborative phenomenon in Sweden. Journal of Global Information Technology Management, 20(4), pp.236-275. Impact factor: 3.444 (Web of Science). CiteScore: 4.0 (Scopus Q2).

  21. Kassen, M. (2017). Open data in Kazakhstan: incentives, implementation and challenges. Information Technology & People, 30(2), pp.301-323. Impact factor: 3.879 (Web of Science). CiteScore: 7.6 (Scopus Q1).

  22. Kassen, M. (2017). E-government politics as a networking phenomenon: Applying a multidimensional approach. International Journal of Electronic Government Research. 13(2). pp.18-46. CiteScore: 2.2 (Scopus Q3).

  23. Kassen, M. (2014). Globalization of e-government: open government as a global agenda; benefits, limitations and ways forward. Information Development, 30(1), pp.51-58. Impact factor: 2.079 (Web of Science). CiteScore: 5.2 (Scopus Q1).

  24. Kassen, M. (2013). A promising phenomenon of open data: A case study of the Chicago open data project. Government Information Quarterly, 30(4), pp.508–513. Impact factor: 8.49 (Web of Science). CiteScore: 17.3 (Scopus Q1).