<abstract xmlns="http://www.w3.org/1999/xhtml">

In our study, we referred to a large and growing body of literature on voter turnout and voting habits. A careful examination of the voting issue in the context of housing prompted us to assume that a simple division into two groups of voting habits, namely voting and non-voting, may not be sufficient to explore complex relations during the voting process in condominiums. Thus the study addresses the question of whether we can identify more than two homogenous clusters of condominium co-owners, taking into consideration their voting habits.
The analysis presented in this paper comprises two stages. First, data relating to condominium co-owner characteristics are forwarded and cluster analysis is used to form subsets of voters. Second, the impact of selected methods of voting on the propensity to vote is assessed using the identified clusters. The applied research strategy led us to distinguish four groups of condominium co-owners: engaged, non-voters, promising and dormant voters.
The article contributes to a better understanding of the process of making decisions in condominiums with a focus on voting habits. In particular, we indicated that studies on voting habits provide a solid foundation for more-context dependent studies on the voting process and suggest other areas to study voting habits.
</abstract>

In our study, we referred to a large and growing body of literature on voter turnout and voting habits. A careful examination of the voting issue in the context of housing prompted us to assume that a simple division into two groups of voting habits, namely voting and non-voting, may not be sufficient to explore complex relations during the voting process in condominiums. Thus the study addresses the question of whether we can identify more than two homogenous clusters of condominium co-owners, taking into consideration their voting habits.
The analysis presented in this paper comprises two stages. First, data relating to condominium co-owner characteristics are forwarded and cluster analysis is used to form subsets of voters. Second, the impact of selected methods of voting on the propensity to vote is assessed using the identified clusters. The applied research strategy led us to distinguish four groups of condominium co-owners: engaged, non-voters, promising and dormant voters.
The article contributes to a better understanding of the process of making decisions in condominiums with a focus on voting habits. In particular, we indicated that studies on voting habits provide a solid foundation for more-context dependent studies on the voting process and suggest other areas to study voting habits.

Condominium Co-Owners and their Typology Based on their Engagement in the Process of Decision-Making

Department of Real Estate and Investment Economics

Real Estate Management and Valuation

This work is licensed under the Creative Commons Attribution 4.0 International License.

In our study, we referred to a large and growing body of literature on voter turnout and voting habits. A careful examination of the voting issue in the...

Condominium Co-Owners and their Typology Based on their Engagement in the Process of Decision-Making

Online veröffentlicht: 18. Juni 2022

Seitenbereich: 21 - 33

DOI: https://doi.org/10.2478/remav-2022-0011

Schlüsselwörter
housing, condominium, voting habits, decision making, e-voting, cluster analysis

© 2022 Joanna Węgrzyn et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Condominium Co-Owners and their Typology Based on their Engagement in the Process of Decision-Making

Online veröffentlicht: 18. Juni 2022

Seitenbereich: 21 - 33

DOI: https://doi.org/10.2478/remav-2022-0011

Schlüsselwörterhousing, condominium, voting habits, decision making, e-voting, cluster analysis

© 2022 Joanna Węgrzyn et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
housing, condominium, voting habits, decision making, e-voting, cluster analysis