An Intelligent Distributed System for Strategic Decision Making

The decision-making process in strategic planning is often too complex to be handled by conventional methods. Strategic planning problems (building new plans, new product planning, etc.) belong to the class of problems called ill-structured by H. Simon. They involve a decomposition of the main problem into a set of subproblems, a reasoning process at the subproblem level, and then a coordinated and aggregated process to build a global solution. Because partial solutions are generated without having a complete view of the global objective, this type of decision-making process very often generates incoherent and contradictory hypotheses and actions. Therefore, the main problem is to find a way to achieve coherence and coordination among decisions made locally by different agents, at different levels.Recent advances in Artificial Intelligence, particularly in the field of multi-agent theory, offer great promises in modeling strategic planning processes. In this article we present a general framework called 'A Coherent Plan of Coordinated Actions (CPCA)' for building intelligent distributed strategic decision making systems which integrates advances in both distributed decision making and Distributed Artificial Intelligence. We then describe a multi-blackboard system, ARISTOTE, which is aimed at helping corporate managers address the feasibility and coherence of a plan of actions.     

Hidden risks of hedge accounting in financial institutions: A study of Franklin Savings Association

The hedge accounting standards for financial institutions stipulated in SFAS No. 80 impose ambiguous guidelines whose enforcement can produce detrimental effects on the financial condition of institutions. Combining these standards with the interpretive authority of regulatory agencies can subject institutions to regulatory risk-the risk of an adverse regulatory ruling resulting from disparate interpretations of the accounting standards. The accounting regulations specified in SFAS No. 80 permit financial institutions to defer derivative-contract losses over the life of the underlying asset or liability. If the hedge designation is misused, however, the capital position of the institution may potentially be misstated prior to maturity of the derivative contracts. Further, when a hedging program goes awry, the current hedge accounting standards may actually encourage the shift to what is actually a speculation program by permitting a larger asset base on which to “earn back” a portion of the hedging losses. Thus, institutional programs initially designed to mitigate interest-rate risk can instead become risk-increasing, separate profit centers. Events leading to the RTC conservatorship of Franklin Savings Association are used to illustrate the opportunities and regulatory threats inherent in hedge accounting. Subsequent analysis indicates that similar ordeals could be avoided by a clarification of hedge accounting standards, the consistent application of standards by regulators, or by increasing capital requirements for those institutions that use derivatives as separate profit centers as opposed to hedging risk exposures.     

Malnutrition,child morbidity and the family decision process

A microeconomic model of the process by which infants and preschoolers are subject to malnourishment, diarrhea and other illnesses in developing countries is given. The model is econometrically based of a cross-section time-series for 1200 children from Candelaria, Colombia. Four primary issues are addressed: economic constraints and intra-family resource allocation decisions impacting on a child's nutritional and health status; the interrelationship between malnutrition, diarrhea, and other diseases; specific policy interventions (maternal-child health education, food supplementation and the encouragement of breast feeding) impacting on health and nutritional status; and the need to distinguish between the effect of different policy variables on a child's height and weight during infancy and preschool age. The observations were taken over a 7 year period during the Promotora maternal-child health program in Colombia.     

A GPS data-based analysis of built environment influences on bicyclist route preferences

This study examines the effects of built environment features, including factors of land use and road network, on bicyclists' route preferences using the data from the city of Seattle. The bicycle routes are identified using a GPS dataset collected from a smartphone application named “CycleTracks.” The route choice set is generated using the labeling route approach, and the cost functions of route alternatives are based on principal component analyses. Then, two mixed logit models, focusing on random parameters and alternative-specific coefficients, respectively, are estimated to examine bicyclists' route choice. The major findings of this study are as follows: (1) the bicycle route choice involves the joint consideration of convenience, safety, and leisure; (2) most bicyclists prefer to cycle on shorter, flat, and well-planned bicycle facilities with slow road traffic; (3) some bicyclists prefer routes surrounded by mixed land use; (4) some bicyclists favor routes which are planted with street trees or installed with street lights; and (5) some bicyclists prefer routes along with city features. This analysis provides valuable insights into how well-planned land use and road network can facilitate efficient, safe, and enjoyable bicycling.     

Exploring a Measurement of Analytics Capabilities

Changes in the volume and velocity of data have led many organizations to consider assessing and improving analytics capabilities. The purpose of this research is to describe a methodology developed to assess organizations’ analytics capabilities and explore the empirical value of data collected using this methodology. The measurement for analytics capabilities was developed by IBM during 2009–11 marketing efforts. To assess the data’s empirical value, we investigate whether measurements of analytics capabilities are internally consistent, associated with decisions to invest in analytics software and hardware, and able to explain firm profitability. In analyzing consistency, we find a natural sequence in the development of analytics capabilities. Exploring decisions to invest in analytics, we discover that firms with higher levels of capabilities are more likely to invest, as are firms that are larger and located in more profitable industries. However, we find no relationship between analytics capabilities and firm profitability.     

Patent Breadth, Patent Life, and the Pace of Technological Progress

In active investment climates where firms sequentially improve each other's products, a patent can terminate either because it expires or because a non-infringing innovation displaces its product in the market. We define the length of time until one of these happens as the effective patent life, and show how it depends on patent breadth. We distinguish lagging breadth, which protects against imitation, from leading breadth, which protects against new improved products. We compare two types of patent policy with leading breadth: (1) patents are finite but very broad, so that the effective life of a patent coincides with its statutory life, and (2) patents are long but narrow, so that the effective life of a patent ends when a better product replaces it. The former policy improves the diffusion of new products, but the latter has lower R&D costs.     

Detecting jumps from Lévy jump diffusion processes

Recent asset-pricing models incorporate jump risk through Lévy processes in addition to diffusive risk. This paper studies how to detect stochastic arrivals of small and big Lévy jumps with new nonparametric tests. The tests allow for robust analysis of their separate characteristics and facilitate better estimation of return dynamics. Empirical evidence of both small and big jumps based on these tests suggests that models for individual equities and overall market indices require incorporating Lévy-type jumps. The evidence of small jumps also helps explain why jumps in the market index are uncorrelated with jumps in its component equities.