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Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.
Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.
Michael P. Johnson
A multi-site case study applies value-focused thinking methods in a community engaged research framework within three organizations. All three organizations are community development corporations (CDCs), a type of community based organization (CBO) who direct assets and efforts toward housing stock and neighborhood improvement. Objectives hierarchies were developed for the three sites. A set of common aspects of these structures suggest ways to operationalize the generic mission of CDCs. Other aspects which vary across sites can be related to specific characteristics of the organizations and the communities in which they operate. The process of applying value-focused thinking is also compared across …
Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.
Electronic Supplement: Value Focused Thinking For Community-Based Organizations: Objectives And Acceptance In Local Development, Jeffrey Keisler, David A. Turcotte, Rachel B. Drew, Michael P. Johnson Jr.
Michael P. Johnson
This is an electronic supplement to the manuscript "Value Focused Thinking for Community-Based Organizations: Objectives and Acceptance in Local Development", published by the EURO Journal on Decision Processes.
Community Impacts Of Decision Modeling For Foreclosed Redevelopment, Michael P. Johnson Jr., Alvine Sangang, Buki Usidame
Community Impacts Of Decision Modeling For Foreclosed Redevelopment, Michael P. Johnson Jr., Alvine Sangang, Buki Usidame
Michael P. Johnson
Community development corporations purchase distressed housing to rehabilitate for renter or owner-occupancy. These mission-driven organizations, skilled in the business of housing development, often lack analytic expertise to determine which acquisitions to pursue that would maximize social impact. This paper presents results, using actual purchase data from a Boston-area CDC, to assess the potential social benefits associated with using a decision model as compared to conventional practices.
Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman
Data And Analytics For Neighborhood Development: Smart Shrinkage Decision Modeling In Baltimore, Maryland, Michael P. Johnson Jr., Justin Hollander, Eliza D. Whiteman
Michael P. Johnson
Many older cities in the United States confront the problem of long-term declines in population and economic activity in certain neighborhoods have resulted in blighted conditions that make conventional revitalization initiatives based on increased residential and commercial development unlikely to succeed. Planning scholars have developed a theory of smart shrinkage in which emphasis is placed on non-residential land uses that can maintain and improve quality of life while positioning some land for future growth-oriented activities (Hollander and Németh 2011). Smart shrinkage research and practice involves application of methods from information technology and decision science to identify vacant and abandoned parcels …
Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr.
Strategy Design For Community Response To Distress And Decline Using Data Analytics, Michael P. Johnson Jr.
Michael P. Johnson
The foreclosure crisis in the U.S. has resulted in immense economic and social losses for individuals and neighborhoods. Some neighborhoods face long-term declines in population and economic activity that have been compounded by the foreclosure crisis. How can government and non-profit organizations design responses to neighborhood distress that reflect distinctive community characteristics and are consistent with long-term policy and planning goals? In this talk, I discuss alternative decision modeling strategies that support neighborhood health. Where foreclosure responses are likely to ensure that neighborhoods remain vital places for residential housing, productive strategies may include property acquisition and redevelopment. Other neighborhoods, however, …
Data, Analytics And Community-Based Organizations: #11;Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.
Data, Analytics And Community-Based Organizations: #11;Transforming Data To Decisions For Community Development, Michael P. Johnson Jr.
Michael P. Johnson
Big data and analytics for community-focused nonprofits can improve analytic capabilities and increase impact. However, Community-based organization needs do not match well with conventional notions of data and analytics. Decentralized model for data-driven research may be preferred, but centralized model is dominant. CBOs can articulate data needs, but are often not yet able to access relevant data easily and use data effectively. Finally, certain values maximize impact of big data and analytics
Stochastic Models For Strategic Resource Allocation In Nonprofit Foreclosed Housing Acquisitions, Armagan Bayram, Senay Solak, Michael P. Johnson Jr.
Stochastic Models For Strategic Resource Allocation In Nonprofit Foreclosed Housing Acquisitions, Armagan Bayram, Senay Solak, Michael P. Johnson Jr.
Michael P. Johnson
Increased rates of mortgage foreclosures in the U.S. have had devastating social and economic impacts during and after the 2008 financial crisis. As part of the response to this problem, non-profit organizations such as community development corporations (CDCs) have been trying to mitigate the negative impacts of mortgage foreclosures by acquiring and redeveloping foreclosed properties. We consider the strategic resource allocation decisions for these organizations which involve budget allocations to different neighborhoods under cost and return uncertainty. Based on interactions with a CDC, we develop stochastic integer programming based frame- works for this decision problem, and assess the practical value …