Deepening Knowledge on Volunteers Using a Marketing Perspective: Segmenting Turkish Volunteers According to Their Motivations

Author:

Demir Filiz Otay1,Kireçci Ayşe Nil1,Yavuz Görkem Şenay1

Affiliation:

1. Maltepe University, Istanbul, Turkey

Abstract

A steady increase in the marketing-based managerial point of view by the third sector manifests itself when exploring the question of what motivates volunteers to make unpaid contributions to a nonprofit organization (NPO). An in-depth investigation into volunteer motivations can be approached by looking at the quantitative marketing method of market segmentation. In this context, the purpose of the present study is to conduct a segmentation analysis of volunteers in Istanbul based on their motivations to volunteer and to enrich these segments with concomitant variables. Findings from the segmentation analysis identified five distinct segments of volunteers: self-improver, career-driven, benevolent soul, social networker, and faithful spirit. For theorists, this study presents an application of segmenting and a profile of volunteers based on the motivations to volunteer, whereas on the management side, the study provides knowledge constructed on empirical findings that shall serve to contribute to the recruitment and retention efforts of NPOs.

Publisher

SAGE Publications

Subject

Social Sciences (miscellaneous)

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Designing Effective Volunteering Appeals: Results of Choice-Based Conjoint and Latent Class Segmentation Analyses;Nonprofit and Voluntary Sector Quarterly;2024-02-06

2. Do occupations matter in motivations to volunteer?;International Review on Public and Nonprofit Marketing;2023-12-19

3. Motivational intricacies behind volunteerism;Journal of Marketing Theory and Practice;2023-09-18

4. Motivation types of volunteers, their personality traits and subjective well-being;Psihologija;2023

5. An International Classification of Volunteers Using Artificial Intelligence Methods;Artificial Intelligence and Economics: the Key to the Future;2022-10-19

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