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

2021 ◽  
Author(s):  
Ji Ma ◽  
Elise Jing ◽  
Jun Han

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.

2018 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Ji Ma ◽  
Elise Jing ◽  
Jun Han

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.


2020 ◽  
Author(s):  
Helena S. Wisniewski

With companies now recognizing how artificial intelligence (AI), digitalization, the internet of things (IoT), and data science affect value creation and the maintenance of a competitive advantage, their demand for talented individuals with both management skills and a strong understanding of technology will grow dramatically. There is a need to prepare and train our current and future decision makers and leaders to have an understanding of AI and data science, the significant impact these technologies are having on business, how to develop AI strategies, and the impact all of this will have on their employees’ roles. This paper discusses how business schools can fulfill this need by incorporating AI into their business curricula, not only as stand-alone courses but also integrated into traditional business sequences, and establishing interdisciplinary efforts and collaborative industry partnerships. This article describes how the College of Business and Public Policy (CBPP) at the University of Alaska Anchorage is implementing multiple approaches to meet these needs and prepare future leaders and decision makers. These approaches include a detailed description of CBPP’s first AI course and related student successes, the integration of AI into additional business courses such as entrepreneurship and GSCM, and the creation of an AI and Data Science Lab in partnership with the College of Engineering and an investment firm.


2021 ◽  
Vol 11 (7) ◽  
pp. 3110
Author(s):  
Karina Gibert ◽  
Xavier Angerri

In this paper, the results of the project INSESS-COVID19 are presented, as part of a special call owing to help in the COVID19 crisis in Catalonia. The technological infrastructure and methodology developed in this project allows the quick screening of a territory for a quick a reliable diagnosis in front of an unexpected situation by providing relevant decisional information to support informed decision-making and strategy and policy design. One of the challenges of the project was to extract valuable information from direct participatory processes where specific target profiles of citizens are consulted and to distribute the participation along the whole territory. Having a lot of variables with a moderate number of citizens involved (in this case about 1000) implies the risk of violating statistical secrecy when multivariate relationships are analyzed, thus putting in risk the anonymity of the participants as well as their safety when vulnerable populations are involved, as is the case of INSESS-COVID19. In this paper, the entire data-driven methodology developed in the project is presented and the dealing of the small subgroups of population for statistical secrecy preserving described. The methodology is reusable with any other underlying questionnaire as the data science and reporting parts are totally automatized.


2015 ◽  
Vol 56 (69) ◽  
pp. 383-393 ◽  
Author(s):  
E. Rachel Bernstein ◽  
Cathleen A. Geiger ◽  
Tracy L. Deliberty ◽  
Mary D. Lemcke-Stampone

AbstractThis work evaluates two distinct calculations of central tendency for sea-ice thickness and quantifies the impact such calculations have on ice volume for the Southern Ocean. The first calculation, area-weighted average thickness, is computed from polygonal ice features and then upscaled to regions. The second calculation, integrated thickness, is a measure of the central value of thickness categories tracked across different scales and subsequently summed to chosen regions. Both methods yield the same result from one scale to the next, but subsequent scales develop diverging solutions when distributions are strongly non-Gaussian. Data for this evaluation are sea-ice stage-of-development records from US National Ice Center ice charts from 1995 to 1998, as proxy records of ice thickness. Results show regionally integrated thickness exceeds area-weighted average thickness by as much as 60% in summer with as few as five bins in thickness distribution. Year-round, the difference between the two calculations yields volume differences consistently >10%. The largest discrepancies arise due to bimodal distributions which are common in ice charts based on current subjective-analysis protocols. We recommend that integrated distribution be used for regional-scale sea-ice thickness and volume estimates from ice charts and encourage similar testing of other large-scale thickness data archives.


2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Thomas Jeavons

There are serious gaps in our knowledge and understanding of how public policy at the federal, state, and local levels affects the work of a wide array of nonprofit organizations. On October 4th and 5th, 2010, the Association for Research on Nonprofit Organizations and Voluntary Organizations (ARNOVA), with the support and encouragement of the Bill and Melinda Gates, Kresge and C.S. Mott foundations, convened a group of thirty nonprofit scholars and leaders to explore what we know about the impact of public policy on the nonprofit sector. The conference focused on how public policy helps or harms the ability of nonprofit organizations, particularly but not exclusively public charities, to fulfill their missions.


Radiocarbon ◽  
2012 ◽  
Vol 54 (3-4) ◽  
pp. 449-474 ◽  
Author(s):  
Sturt W Manning ◽  
Bernd Kromer

The debate over the dating of the Santorini (Thera) volcanic eruption has seen sustained efforts to criticize or challenge the radiocarbon dating of this time horizon. We consider some of the relevant areas of possible movement in the14C dating—and, in particular, any plausible mechanisms to support as late (most recent) a date as possible. First, we report and analyze data investigating the scale of apparent possible14C offsets (growing season related) in the Aegean-Anatolia-east Mediterranean region (excluding the southern Levant and especially pre-modern, pre-dam Egypt, which is a distinct case), and find no evidence for more than very small possible offsets from several cases. This topic is thus not an explanation for current differences in dating in the Aegean and at best provides only a few years of latitude. Second, we consider some aspects of the accuracy and precision of14C dating with respect to the Santorini case. While the existing data appear robust, we nonetheless speculate that examination of the frequency distribution of the14C data on short-lived samples from the volcanic destruction level at Akrotiri on Santorini (Thera) may indicate that the average value of the overall data sets is not necessarily the most appropriate14C age to use for dating this time horizon. We note the recent paper of Soter (2011), which suggests that in such a volcanic context some (small) age increment may be possible from diffuse CO2emissions (the effect is hypothetical at this stage and hasnotbeen observed in the field), and that "if short-lived samples from the same stratigraphic horizon yield a wide range of14C ages, the lower values may be the least altered by old CO2." In this context, it might be argued that a substantive “low” grouping of14C ages observable within the overall14C data sets on short-lived samples from the Thera volcanic destruction level centered about 3326–3328 BP is perhaps more representative of the contemporary atmospheric14C age (without any volcanic CO2contamination). This is a subjective argument (since, in statistical terms, the existing studies using the weighted average remain valid) that looks to support as late a date as reasonable from the14C data. The impact of employing this revised14C age is discussed. In general, a late 17th century BC date range is found (to remain) to be most likelyeven ifsuch a late-dating strategy is followed—a late 17th century BC date range is thus a robust finding from the14C evidence even allowing for various possible variation factors. However, the possibility of a mid-16th century BC date (within ∼1593–1530 cal BC) is increased when compared against previous analyses if the Santorini data are considered in isolation.


1997 ◽  
Vol 11 (5) ◽  
pp. 304-313
Author(s):  
W. O. George ◽  
A. N. Hill

In this paper, the origins and characteristics of the 102 current UK universities are briefly traced and the outcomes of recent assessments of research quality are summarized for all universities and for the 69 subject units within which assessment was made. The quality of research in a subject unit, group of subject units or complete institution is measured by a weighted average score based on a peer rating of submitted subject units from each university and the numerical values obtained are described within the limitations of the methodology developed. The authors consider the scores in terms of the characteristics of each university and the broad subject areas, science, engineering, social sciences and humanities. They then discuss the industrial link with research in terms of recent government policy inputs, university research outcomes and the impact of market forces on universities from diminishing patterns of some income streams.


2017 ◽  
Vol 8 (3) ◽  
pp. 211-235 ◽  
Author(s):  
Erynn Beaton ◽  
Hyunseok Hwang

AbstractThe number of nonprofit organizations is rapidly increasing, which has led nonprofit practitioners to complain of funding scarcity, nonprofit scholars to closely study nonprofit competition, and policymakers to consider increasing nonprofit barriers to entry. Underlying each of these perspectives is an assumption of limited financial resources. We empirically examine this assumption using county-level panel data on nonprofit human services organizations from the National Center for Charitable Statistics. Contrary to the limited resources assumption, our fixed-effects models show that increasing nonprofit density, at its current levels, has the effect of increasing sector financial resources in each county. We suggest that these findings prompt a tradeoff for policymakers. A sector with free market entry results in a nonprofit sector with more, smaller nonprofits, but such a sector may have the capacity to serve more people because it has more total sector financial resources. Conversely, a sector with higher barriers to entry would translate to a sector with fewer, larger nonprofits with less overall capacity due to fewer sector financial resources.


Sign in / Sign up

Export Citation Format

Share Document