Analysis of Housing Partnerships using the Balanced Scorecard framework

Housing Partnerships (HPs) are collaborative arrangements that assist communities in the delivery of affordable housing by combining the strengths of the public and private sectors. They emerged in several states, counties, and cities in the eighties as innovative solutions to the challenges in affordable housing resulting from changing dynamics of delivery and production. ^ My study examines HPs with particular emphasis upon the identification of those factors associated with the successful performance of their mission of affordable housing. I will use the Balanced Scorecard (BSC) framework in this study. The identification of performance factors facilitates a better understanding of how HPs can be successful in achieving their mission. The identification of performance factors is significant in the context of the current economic environment because HPs can be viewed as innovative institutional mechanisms in the provision of affordable housing. ^ The present study uses a mixed methods research approach, drawing on data from the IRS Form 990 tax returns, a survey of the chief executives of HPs, and other secondary sources. The data analysis is framed according to the four perspectives of BSC: the financial, customer, internal business, and learning and growth. Financially, revenue diversification affects the financial health of HPs and overall performance. Although HPs depend on private and government funding, they also depend on service fees to carry out their mission. From a customer perspective, the HPs mainly serve low and moderate income households, although some serve specific groups such as seniors, homeless, veterans, and victims of domestic violence. From an internal business perspective, HPs’ programs are oriented toward affordable housing needs, undertaking not only traditional activities such as construction, loan provision, etc., but also advocacy and educational programs. From an employee and learning growth perspective, the HPs are small in staff size, but undertake a range of activities with the help of volunteers. Every part of the HP is developed to maximize resources, knowledge, and skills in order to assist communities in the delivery of affordable housing and related needs. Overall, housing partnerships have played a key role in affordable housing despite the housing market downturn since 2006. Their expenses on affordable housing activities increased despite the decrease in their revenues.^

Measuring effectiveness in international financial crime prevention: Can we agree on a performance metric?

The attempts at carrying out terrorist attacks have become more prevalent. As a result, an increasing number of countries have become particularly vigilant against the means by which terrorists raise funds to finance their draconian acts against human life and property. Among the many counter-terrorism agencies in operation, governments have set up financial intelligence units (FIUs) within their borders for the purpose of tracking down terrorists’ funds. By investigating reported suspicious transactions, FIUs attempt to weed out financial criminals who use these illegal funds to finance terrorist activity. The prominent role played by FIUs means that their performance is always under the spotlight. By interviewing experts and conducting surveys of those associated with the fight against financial crime, this study investigated perceptions of FIU performance on a comparative basis between American and non-American FIUs. The target group of experts included financial institution personnel, civilian agents, law enforcement personnel, academicians, and consultants. Questions for the interview and surveys were based on the Kaplan and Norton’s Balanced Scorecard (BSC) methodology. One of the objectives of this study was to help determine the suitability of the BSC to this arena. While FIUs in this study have concentrated on performance by measuring outputs such as the number of suspicious transaction reports investigated, this study calls for a focus on outcomes involving all the parties responsible for financial criminal investigations. It is only through such an integrated approach that these various entities will be able to improve performance in solving financial crime. Experts in financial intelligence strongly believed that the quality and timeliness of intelligence was more important than keeping track of the number of suspicious transaction reports. Finally, this study concluded that the BSC could be appropriately applied to the arena of financial crime prevention even though the emphasis is markedly different from that in the private sector. While priority in the private sector is given to financial outcomes, in this arena employee growth and internal processes were perceived as most important in achieving a satisfactory outcome.

A diagnostic framework for demand amplification problems in supply chains

This dissertation delivers a framework to diagnose the Bull-Whip Effect (BWE) in supply chains and then identify methods to minimize it. Such a framework is needed because in spite of the significant amount of literature discussing the bull-whip effect, many companies continue to experience the wide variations in demand that are indicative of the bull-whip effect. While the theory and knowledge of the bull-whip effect is well established, there still is the lack of an engineering framework and method to systematically identify the problem, diagnose its causes, and identify remedies. ^ The present work seeks to fill this gap by providing a holistic, systems perspective to bull-whip identification and diagnosis. The framework employs the SCOR reference model to examine the supply chain processes with a baseline measure of demand amplification. Then, research of the supply chain structural and behavioral features is conducted by means of the system dynamics modeling method. ^ The contribution of the diagnostic framework, is called Demand Amplification Protocol (DAMP), relies not only on the improvement of existent methods but also contributes with original developments introduced to accomplish successful diagnosis. DAMP contributes a comprehensive methodology that captures the dynamic complexities of supply chain processes. The method also contributes a BWE measurement method that is suitable for actual supply chains because of its low data requirements, and introduces a BWE scorecard for relating established causes to a central BWE metric. In addition, the dissertation makes a methodological contribution to the analysis of system dynamic models with a technique for statistical screening called SS-Opt, which determines the inputs with the greatest impact on the bull-whip effect by means of perturbation analysis and subsequent multivariate optimization. The dissertation describes the implementation of the DAMP framework in an actual case study that exposes the approach, analysis, results and conclusions. The case study suggests a balanced solution between costs and demand amplification can better serve both firms and supply chain interests. Insights pinpoint to supplier network redesign, postponement in manufacturing operations and collaborative forecasting agreements with main distributors.^