Marketing expense and financial performance in arts and cultural organizations

Lee, Hyunjung; Ha, Kyoungnam Catherine; Kim, Young Seon

doi:10.1002/nvsm.1588

Cited by 7 publications

(3 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We used corresponding t -statistics to estimate the effect sizes when studies (e.g., Marudas et al, 2014) only report a level of statistical significance, but not standard errors. 1 For those studies that reported parameter estimates that were not statistically significant (e.g., Lee et al, 2018), we recorded effect sizes as zero (see Note 1). We used z -statistics to calculate effect sizes when studies estimated models using maximum likelihood (e.g., Krawczyk et al, 2017).…”

Section: Methodsmentioning

confidence: 99%

Do Donors Penalize Nonprofits With Higher Non-Program Costs? A Meta-Analysis of Donor Overhead Aversion

Hung

Hager

2022

Nonprofit and Voluntary Sector Quarterly

View full text Add to dashboard Cite

Disparate research on overhead aversion and nonprofit starvation can benefit from a conceptual model that explains their relationships. Following resurrection of such a model, we focus on one important piece: the relationship between overhead spending and nonprofit donations. Studies on this topic have produced inconclusive results. Our meta-analysis clarifies the relationship by synthesizing a sample of 30 original studies with 244 effect sizes. We uncover a negative association suggesting that donors penalize nonprofits with higher overhead costs. Moreover, our meta-regression models reveal that experimental designs detect higher donor aversion than studies that use other research designs and that amateur donors have more intense overhead aversion than professional donors. However, studies that measure administrative costs do not report more negative effects than studies that measure both administrative and fundraising costs. The overall contribution of the meta-analysis solidifies the conceptual link between reported capacity costs and funders’ giving decisions, a key arc in the nonprofit starvation cycle.

show abstract

Section: Methodsmentioning

confidence: 99%

Do Donors Penalize Nonprofits With Higher Non-Program Costs? A Meta-Analysis of Donor Overhead Aversion

Hung

Hager

2022

Nonprofit and Voluntary Sector Quarterly

View full text Add to dashboard Cite

show abstract

“…Fundraisers require social marketing, while social marketers require fundraising. Both can now benefit from the DSC's brand-new edition of Marketing Strategy for Effective Fundraising, which includes insights, research, and best practices [18]. Fundraisers at all levels of an organization must understand and apply good Social Marketing concepts in order to develop and implement plans that are both long-term and short-term in nature.…”

Section: B Fundraisingmentioning

confidence: 99%

Twitter Sentiment Analysis and Expert Ratings of Initial Coin Offering Fundraising: Evidence from Australia and Singapore Markets

Chursook¹,

Dawod²,

Chanaim³

et al. 2022

TEM Journal

View full text Add to dashboard Cite

Sentiment analysis of Twitter data is quite valuable for determining the market opinion. Twitter sentiment analysis is more challenging than generic sentiment analysis owing to slang and misspellings. The techniques utilized for evaluating the sentiment of tweets that have the greatest importance for the success of an Initial Coin Offering (ICO) are machine learning approaches. In this study, we examined market sentiment and used Expert Ratings to predict the success of ICOs in the Australian and Singapore markets. Based on 68,281 tweets from 57 ICOs across four industries: business services, cryptocurrency, entertainment, and platform. Several classification methods were investigated, including Support Vector Machines (SVMs), Logistic Regression (LR), Random Forest (RF), and Naïve Bayes (NB). The outcomes indicated that sentiment analysis of tweets and expert ratings may be used to forecast the success of an initial coin offering. The results indicate that the suggested model is capable of accurately assessing the tweets of the ICO Successful with a maximum accuracy of about 94.7 % when implementing the Support Vector Machines (SVMs) classifier.

show abstract

“…On the one hand, globalization has driven “multi‐lateral agents,” such as the World Bank and many charitable foundations, to increase their presence and influence all over the world (Mitchell, 2014). On the other hand, many less prominent NPOs are struggling to maintain financial sustainability while investing donations on marketing to enhance organizational performance (Lee, Ha, & Kim, 2018). Hence, most NPOs focus a great deal of effort on creating economic sustainability to gain the financial means needed to address social problems.…”

Section: Introductionmentioning

confidence: 99%

The role of organizational culture, capabilities, and adoption of e‐marketing on nonprofits' organizational performance

Lee

2020

Journal of Philanthropy and Marketing

View full text Add to dashboard Cite

Nonprofit organizations are facing increasing challenges to survival and mission accomplishment in a market economy. Thus, many nonprofit organizations are actively exploring how to enhance organizational performance through Internet and communication technologies in the digital era. The relationship between e‐marketing adoption and organizational performance of for‐profit companies has been studied intensively. However, this relationship has not been examined in the nonprofit context. The objectives of this study are to investigate factors promoting the adoption of e‐marketing and the latter's effect on the performance of nonprofits. This paper surveyed 54 nonprofits and used partial least squares structural equation modeling (PLS‐SEM) to test the research hypotheses grounded in resource dependence theory and e‐marketing orientation. Results indicated that top management's attitudinal emphasis on e‐marketing does not lead to e‐marketing adoption. Differs from for‐profit companies, nonprofits' e‐marketing adoption is mainly related to planning and implementation capabilities. Moreover, although planning strongly influences e‐marketing adoption, implementation capabilities play a crucial role in a performance‐driven adoption. Hence, if e‐marketing is adopted without sufficient manpower and skills, organizational performance will not be enhanced even with adequate e‐marketing budget.

show abstract

Marketing expense and financial performance in arts and cultural organizations

Cited by 7 publications

References 56 publications

Do Donors Penalize Nonprofits With Higher Non-Program Costs? A Meta-Analysis of Donor Overhead Aversion

Do Donors Penalize Nonprofits With Higher Non-Program Costs? A Meta-Analysis of Donor Overhead Aversion

Twitter Sentiment Analysis and Expert Ratings of Initial Coin Offering Fundraising: Evidence from Australia and Singapore Markets

The role of organizational culture, capabilities, and adoption of e‐marketing on nonprofits' organizational performance

Contact Info

Product

Resources

About