2014
DOI: 10.1007/s11162-014-9339-6
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Effective Segmentation of University Alumni: Mining Contribution Data with Finite-Mixture Models

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Cited by 8 publications
(7 citation statements)
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“…Under the scope of relationship marketing, initiatives have been developed to enhance relationships to meet the expectations of alumni, but when HEIs face scarce resources and tight budgets, which is the case of the majority of Portuguese HEIs, effective clustering strategies are needed to achieve successful measures (Durango-Cohen & Balasubramanian, 2015;Le Blanc & Rucks, 2009). Clustering thus allows optimisation of resources and greater effectiveness of activities such as solicitation and communication campaigns.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Under the scope of relationship marketing, initiatives have been developed to enhance relationships to meet the expectations of alumni, but when HEIs face scarce resources and tight budgets, which is the case of the majority of Portuguese HEIs, effective clustering strategies are needed to achieve successful measures (Durango-Cohen & Balasubramanian, 2015;Le Blanc & Rucks, 2009). Clustering thus allows optimisation of resources and greater effectiveness of activities such as solicitation and communication campaigns.…”
Section: Introductionmentioning
confidence: 99%
“…Clustering thus allows optimisation of resources and greater effectiveness of activities such as solicitation and communication campaigns. Moreover, leads to a better understanding of alumni characteristics, and once they have been gathered into similar groups, those campaigns can be tailored accordingly (Durango-Cohen & Balasubramanian, 2015;Le Blanc & Rucks, 2009;Rattanamethawong, Sinthupinyo, & Chandrachai, 2018). Furthermore, complementing these advantages with the knowledge of what predicts prospective alumni intending to collaborate in the HEIs' activities, an important contribute to better define strategies is achieved (Clotfelter, 2001).…”
Section: Introductionmentioning
confidence: 99%
“…Other studies investigated socio-economic variables, such as income and education, past giving, sector of employment, type of financial aid received, as well as demographic indicators (Gunsalus 2005 ; Newman and Petrosko 2011 ; Wunnava and Lauze 2001 ), such as age, ethnicity, income, gender, residence, and marital status (Clotfelter 2003 ; Drezner 2018 ; Holmes 2009 ; Hueston 1992 ; Okunade and Berl 1997 ; Weerts and Ronca, 2008 ). Other researchers focused their attention on behavioural factors, such as volunteering for the college, membership in alumni chapters, and reunion attendance (Durango-Cohen and Balasubramanian 2015 ). Furthermore, characteristics related to institutions and universities have been investigated, such as size, type of institution, or endowment value.…”
Section: Background and Hypothesis Developmentmentioning
confidence: 99%
“…As a result, universities depend ever more on private donors, who have become an important part of the financial mix and the well-being of HEIs (Tsao and Coll, 2005;Weerts and Ronca 2009;Iskhakova et al 2020). Even though alumni contributions have always represented a significant source of university funding (Baruch and Sang 2012;Durango-Cohen and Balasubramanian 2015;Stephenson and Bell 2014), encouraging such a practice can make a positive impact on the stability and longevity of an HE institution.…”
Section: Introductionmentioning
confidence: 99%
“…Figure 1 shows that, if the ultimate goal is promoting the development of alumni economy, the relevant government departments, alumni workers and alumni associations in colleges need to play a key role and cooperate closely. Government departments should focus on creating brand activities related to alumni economy, such as alumni centralized returning to investment and centralized project inspection [3]. Government departments should also publicize and promote the activities.…”
Section: Goal Decomposition and Variable Analysis In The Alumni Economentioning
confidence: 99%