Predicting Mission Alignment and Preventing Mission Drift: How Revenue Sources Matter?

2017 ◽  
Author(s):  
Ji Ma ◽  
Yizhi Jing ◽  
Jun Han
Keyword(s):  
Mission Drift ◽  
Revenue Sources ◽  
Mission Alignment

scholarly journals Predicting Mission Alignment and Preventing Mission Drift: Do Revenue Sources Matter?

2021 ◽  
Author(s):  
Ji Ma ◽  
Elise Jing ◽  
Jun Han
Keyword(s):  
Nonprofit Organizations ◽  
Data Science ◽  
Mission Statement ◽  
Weighted Average ◽  
Cosine Similarity ◽  
Mission Drift ◽  
Revenue Sources ◽  
Mission Alignment ◽  
The Impact ◽  
Average Cosine

Activities of nonprofit organizations do not always align with their missions, a managerial problem termed as “mission drift.” Mission drift is difficult to operationalize and quantify; thus, as a critical issue, only a few conceptual pieces or empirical case studies have explored this topic. This paper develops innovative measures to operationalize “mission alignment” using data science methodology, and examines the impact of revenue sources on mission alignment. By using the cosine similarity of text between a mission statement and program description, four measures of mission alignment are devised: the sum cosine similarity, average cosine similarity, weighted sum cosine similarity, and weighted average cosine similarity. Text analysis indicates that a majority of the programs evidence educational purposes, and for-profit business plays an important role in foundations’ projects and funding. The regression analysis shows that personal donation and service revenue can increase mission alignment,while organizational donation and membership dues decrease mission alignment.

scholarly journals Predicting Mission Alignment and Preventing Mission Drift: Do Revenue Sources Matter?

2018 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Ji Ma ◽  
Elise Jing ◽  
Jun Han
Keyword(s):  
Nonprofit Organizations ◽  
Data Science ◽  
Mission Statement ◽  
Weighted Average ◽  
Cosine Similarity ◽  
Mission Drift ◽  
Revenue Sources ◽  
Mission Alignment ◽  
The Impact ◽  
Average Cosine

Activities of nonprofit organizations do not always align with their missions, a managerial problem termed as “mission drift.” Mission drift is difficult to operationalize and quantify; thus, as a critical issue, only a few conceptual pieces or empirical case studies have explored this topic. This paper develops innovative measures to operationalize “mission alignment” using data science methodology, and examines the impact of revenue sources on mission alignment. By using the cosine similarity of text between a mission statement and program description, four measures of mission alignment are devised: the sum cosine similarity, average cosine similarity, weighted sum cosine similarity, and weighted average cosine similarity. Text analysis indicates that a majority of the programs evidence educational purposes, and for-profit business plays an important role in foundations’ projects and funding. The regression analysis shows that personal donation and service revenue can increase mission alignment,while organizational donation and membership dues decrease mission alignment.

Philanthropy and Private Foundations: Expanding Revenue Sources

2014 ◽  
Vol 2014 (168) ◽  
pp. 77-89
Author(s):  
Carlee Drummer ◽  
Roxann Marshburn
Keyword(s):  
Private Foundations ◽  
Revenue Sources

Are You Hooked on Paid Music Streaming?

2018 ◽  
Vol 14 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Charlie C. Chen ◽  
Steven Leon ◽  
Makoto Nakayama
Keyword(s):  
Data Analysis ◽  
Music Industry ◽  
Clear Understanding ◽  
On Demand ◽  
Behavioral Dynamics ◽  
Revenue Sources ◽  
Streaming Services ◽  
Facilitating Conditions ◽  
Communication Control ◽  
Music Streaming

The proliferation of free on-demand music streaming services (e.g., Spotify) is offsetting the traditional revenue sources (e.g., purchases of downloads or CDs) of the music industry. In order to increase revenue and sustain business, the music industry is directing its efforts toward increasing paid subscriptions by converting free listeners into paying subscribers. However, most companies are struggling with these attempts because they lack a clear understanding of the psychological and social purchase motivations of consumers. This study compares and contrasts the two different phases of Millennial generation consumer behaviors: the alluring phase and the hooking phase. A survey was conducted with 73 paying users and 163 non-paying users of on-demand music streaming services. The authors' data analysis shows two separate behavioral dynamics seen between these groups of users. While social influence and attitude are primary drivers for the non-paying users in the alluring phase, facilitating conditions and communication control capacity play critical roles for the paying users in the hooking phase. These results imply that the music industry should apply different approaches to prospective and current customers of music streaming services.

scholarly journals Anchors Aweigh: The Sources, Variety, and Challenges of Mission Drift

2019 ◽  
Vol 44 (4) ◽  
pp. 819-845 ◽  
Author(s):  
Matthew G. Grimes ◽  
Trenton Alma Williams ◽  
Eric Yanfei Zhao
Keyword(s):  
Mission Drift
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