Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 11 of 11

Full-Text Articles in Entire DC Network

Success Measures For Local Economic Development: Project Final Report, Michael P. Johnson Jr., Sandeep Jani Nov 2016

Success Measures For Local Economic Development: Project Final Report, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

No abstract provided.


Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin Nov 2016

Pro Bono Analytics: A Program By Informs To Match Members Willing To Volunteer Their Analytical Skills With Nonprofit Organizations Working In Underserved Areas Or With Underserved Populations [Poster], Rina Schneur, Victoria Chen, Jim Cochran, Terry Cryan, Arnold Greenland, David Hunt, Michael P. Johnson Jr., Paul Rubin

Michael P. Johnson

•INFORMS members (and non-members) volunteer to work with charitable organizations
•Charitable organizations (non-profits) request analytics help
•Pro Bono Analytics committee assists non-profits with formulation & scoping 
•Volunteers provide service free (except expenses)
•Win-Win:
- Clients get helpful analytics
- Volunteers get experience and do something charitable


Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr. Nov 2016

Pro Bono Analytics – Addressing Business Problems Faced By Nonprofit Organizations, David Hunt, Michael P. Johnson Jr.

Michael P. Johnson

Pro Bono Analytics is an INFORMS program that matches volunteers with nonprofit organizations working in underserved areas and for underserved populations. The nonprofits tend to be small and without the resources to utilize traditional operations research and advanced analytical methods. This talk will focus on how to communicate the value of OR/analytics to nonprofits, and perhaps more importantly, what we have learned about applying OR/analytical methods to problems that truly matter to our nonprofit clients.


Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani Nov 2016

Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

Main Street organizations develop local development initiatives that support economic and social goals. We describe an application of value-focused thinking and community-based operations research to identify economic development performance metrics and decision alternatives for local development interventions. Using interviews with stakeholders in three Boston communities, we show how values structures vary across communities and stakeholder groups and how attributes can be quantified using a variety of data sources. We conclude by presenting a composite values structure to support improved operations management and strategy design for all Boston Main Street districts.


An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau Nov 2016

An Agenda For Diversity And Inclusion-Related Research Within Or/Ms/Analytics, Michael P. Johnson Jr., George Chichirau

Michael P. Johnson

Diversity and inclusion have been widely studied and debated, most often within the social sciences. What contributions can operations research, management science and analytics make to this domain of inquiry? This talk will critically examine assumptions and practices within the decision sciences that may support as well impede diversity- and inclusion-related research, and propose a research agenda that can challenge yet enrich our profession.


Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr. Nov 2016

Estimating Strategic Impacts Of Foreclosed Housing Redevelopment Using Spatial Analysis, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations engaged in foreclosure response wish to quantify the relative value of housing units for redevelopment. We measure the 'strategic value' of property acquisition candidates based on proximity to site-specific neighborhood amenities and disamenities, given the relative importance of that proximity to CDC organizational and community objectives. We show that strategic values can differ in systematic ways depending on the types of amenities and disamenities identified as relevant for acquisition decisions, the relative importance assigned to those amenities and disamenities, and the utility maximization objectives of the organization.


Decision Modeling For Housing And Community Development: #11;A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. Nov 2016

Decision Modeling For Housing And Community Development: #11;A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. While CDC employees have significant experience in diverse application areas, they often face limitations in acquiring, analyzing and sharing data, and using these data to solve decision problems whose solutions can generate novel strategies to address localized needs. Recent research, inspired by local responses to
the housing foreclosure crisis, and developed in cooperation with Boston‐area CDCs, has resulted in a collection of analytic methods and applications that can assist CDCs and similar organizations …


Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani Sep 2016

Measuring Success: Community Analytics For Local Economic Development, Michael P. Johnson Jr., Sandeep Jani

Michael P. Johnson

Main Street organizations are community-based nonprofits across the USA dedicated to local economic development through physical improvements, technical assistance to businesses, marketing and placebuilding. In this paper we identify metrics associated with success in local economic development and generate decision opportunities for improved program design and implementation. Our community partners, Main Street organizations in the city of Boston, want to ensure that data they collect about their service areas can help them measure progress towards achieving their individual goals as well as identify programs and initiatives that make best use of their resources and expertise. Using a mixed methods, inductive …


Community-Based Operations Research: Data Analytics And Decision Modeling For Community Development And Social Change, Michael P. Johnson Jr. Mar 2016

Community-Based Operations Research: Data Analytics And Decision Modeling For Community Development And Social Change, Michael P. Johnson Jr.

Michael P. Johnson

‘Community-based operations research’ is an extension of multiple traditions in OR/MS to produce research for local change. CBOR attempts to incorporate critical thinking, evidence-based policy design and prescriptive decision modeling. This presentation introduces a theory of CBOR and reviews current applications to support a collection of new scholarship. These applications include foreclosure response, vacant land management and local economic development. We conclude with suggestions to expand the field of CBOR.


How Can Value Elicitation In Adult Basic Education Support Learners’ Success In Goal-Setting Policy?, Alma H. Biba, Michael P. Johnson Jr. Feb 2016

How Can Value Elicitation In Adult Basic Education Support Learners’ Success In Goal-Setting Policy?, Alma H. Biba, Michael P. Johnson Jr.

Michael P. Johnson

For the last two decades, federal legislation and Massachusetts’ state ABE policies have linked adult learners’ educational outcomes to accountability requirements. Using a multi-method approach ABE learners’ goal setting was presented as a decision problem in order to reveal and disentangle the conflicting preferences fueled by outcome-based accountability requirements. Elicitation of values using value-focused thinking (VFT) methodology revealed that learner’s self-defined goals are consistently distinct from program-defined goals, that teachers recognize this disjunction, and that efforts to reconcile the two could yield significant improvements in ABE program outcomes.


Course Syllabus: Ppol-G 742 Community-Based Operations Research, Michael P. Johnson Jr. Dec 2015

Course Syllabus: Ppol-G 742 Community-Based Operations Research, Michael P. Johnson Jr.

Michael P. Johnson

This elective course in the Public Policy PhD program provides an introduction to a wide range of decision models, methods and applications that help practitioners and researchers better understand how to represent common services and systems, and how to design practical solutions that can help people and organizations do their jobs better. Examples of public sector applications we will address include: emergency and post-disaster planning, human services, energy and natural resources and housing and community development. This course emphasizes special challenges in community-based public-sector decision-making. Communities of interest may be defined by geography, population, or a particular type of service …