Accountability and Control as Catalysts for Strategic Exploration and Exploitation: Field Study Results

This paper reports the collective finding from 102 field studies that look at the relationship between two organization design variables: span of control and span of accountability. Clustering the data yields propositions suggesting that the relationship between these variables may be an important determinant of strategic exploitation and exploration activities. Data from the field studies suggest that, in accordance with the controllability principle, accountability and control are tightly aligned for exploitation activities. However, this result was found in only a small number of tasks and functions. In the majority of situations, spans of accountability were wider than spans of control. This "Entrepreneurial Gap" is posited to be a result of management's desire for innovation and exploration-and used as a catalyst for changing strategy, creating high levels of customer satisfaction, or motivating people to navigate complex matrix organizations.Ambidextrous Organization, Strategic Exploration and Exploitation, Entrepreneurial Gap, Accountability, Span of Control

Adaptive Reuse of Religious Buildings and Schools in the US: Determinants of Project Outcomes

This study addresses factors that affect the outcomes of adaptive reuse of empty religious buildings and schools in the United States. Literature-driven observable factors expected to have an impact on project outcomes include both supply side and demand side factors (building characteristics, neighborhood demographics, micro-location characteristics, macro-economic factors, etc.) are used as explanatory variables. This study uses the multinomial logit model with the outcome of adaptive reuse projects (e.g., apartments, condominiums, retail, office and cultural uses) as the dependent variable. This study has found that many supply side and demand side factors are associated with certain outcomes. It is expected that the results of this study can offer valuable basic information about associations between factors and development outcomes for adaptive reuse.Adaptive reuse; Multinomial logit model; Religious buildings and schools

The Effect of School Quality on Residential Sales Price

This study seeks to find the extent to which various measures of public school quality are capitalized into house prices after the No Child Left Behind Act (2001). Individual residential sales in Cuyahoga County, Ohio for 2000 and 2005 are analyzed as to the effect of school quality using regression analysis with a spatial error model. Results show that while all school quality measures tested have some explanatory power, school district ratings and performance index, which are comprehensive measures of school quality, are the most appropriate measures and are readily capitalized into housing prices.

Religious Value Halos: The Effect of a Jewish Orthodox Campus on Residential Property Values

Ten years ago, there was a controversial expansion of an Orthodox Jewish religious campus in the suburb of a large Midwestern US city. This research takes a before and after approach to addressing the effects of this project on residential property values, especially within walking distance of the campus. Separate regression analyses have been run for 1997 and 2006, and the findings indicate that the campus has increased property values and prompted additional building permits. The findings show that the completion of the Jewish Orthodox campus increases residential property values between 17 percent and 20 percent within a quarter mile in the city where the facility is located.

Determining Off-Site Damages to Non-Residential Property from Leaking Underground Storage Tanks Using Contingent Valuation Analysis

This research evaluates the effect of leaking underground storage tanks (LUSTs) from gas stations on nearby commercial property when the existing data is incomplete or imperfect. While methodologies such as hedonic regression may be preferred for evaluating the effects of LUSTs on property values, the rigorous data requirements of these methodologies often cannot be met. Contingent valuation analysis is one method that enables estimation of losses when the data available is incomplete. A contingent valuation analysis of real estate professionals in South Carolina and Ohio provides estimates of commercial property losses, which ranges from 0-40%, depending on environmental conditions and proximity to the source. This research has developed a methodology for estimating real estate property value losses when data requirements cannot be fulfilled based on the best available data.Environmental contamination; Commercial property; Underground storage tanks; Contingent valuation analysis

The Effect of Residential Investment on Nearby Property Values: Evidence from Cleveland, Ohio

This study analyzes the effect of both new and rehabilitation residential investment on nearby property values in Cleveland, Ohio. The methodology used is hedonic price regression with spatial lagged variables that are generated applying geographic information systems. There are four major findings. First, the effect of investment on property values is geographically limited. Second, new investment has a greater impact on nearby property values than rehabilitation. Third, there is evidence that new construction and rehabilitation have a significantly positive impact in low-income areas, as well as predominantly non-minority neighborhoods. Finally and most importantly, the research suggests that small-scale investment has no impact on nearby property values. Thus, investment policy, which promotes and encourages investments that are not sufficiently large, may not be able to improve tax bases and enhance neighborhoods. We also found that results could be misleading if spatial lagged variables are inappropriately measured.

A Meta-Analysis of the Effect of Environmental Contamination and Positive Amenities on Residential Real Estate Values

This paper addresses the effects of environmental contamination and positive amenities on proximate residential real estate property values in the United States. Contamination sources include leaking underground storage tanks, superfund sites, landfills, water and air pollution, power lines, pipeline ruptures, nuclear power plants, animal feedlots and several other urban nuisance uses. The study summarizes a literature review of 75 peer-reviewed journal articles and selected case studies, and generates a data set of about 290 observations that contain information about each study’s loss (the dependent variable), with the independent variables being distance from the source, type of contamination, urban or rural environment, geographic region, market conditions and several other variables. Ordinary least squares is used to determine the effect of the contamination variables on reduction in property value. Broad contamination types, amenities, selected economic regions, distance from the source, information, research method and several other variables are statistically significant.

Determining Market Perceptions on Contamination of Residential Property Buyers using Contingent Valuation Surveys

This study reports on the results of several residential contingent valuation (CV) studies conducted throughout the US. Over the past several years CV has often been used to illustrate potential residential buyer bid prices for contaminated real property. The data set for this study contains 1,115 telephone interviews and examines the consistency of the results for residential property affected by a Leaking Underground Storage Tank (LUST) in different markets in eight states, controlling for income, age, education, local market type, and other demographic factors. Negative discounts associated with a LUST for marginal bidders in the top half of the market were quite consistent across states, varying from ?25% to ?33%, with an average of ?31%,. Using ANOVA indicates that bidding patterns from six of the seven states were statistically similar. Male bidders, those over 40 years of age and those with no high school degree were more likely to bid, while those with higher incomes and those bidding on certain, rather than suspected contamination, were less likely to bid. Local market type did not appear to affect bid outcomes. Using the marginal bidder approach, the CV results benchmark reasonably closely to, but still higher than, revealed preference outcomes for residential LUST sites in Ohio.

Microwave characterization and modeling of GaAs/AlGaAs heterojunction bipolar transistors

The characterization and modeling of a microwave GaAs/AlGaAs heterojunction Bipolar Transistor (HBT) are discussed. The de-embedded scattering parameters are used to derive a small signal lumped element equivalent circuit model using EEsof's Touchstone software package. Each element in the equivalent circuit model is shown to have its origin within the device. The model shows good agreement between the measured and modeled scattering parameters over a wide range of bias currents. Further, the MAG (maximum available power gain) and the h sub 21 (current gain) calculated from the measured data and those predicted by the model are also in good agreement. Consequently, the model should also be capable of predicting the f sub max and the f sub T of other HBTs

The Effect of Underground Storage Tanks on Residential Property Values in Cuyahoga County, Ohio

This study considers the effect of underground storage tanks on residential sales price. These effects are tested with a hedonic pricing model for all 1992 residential sales in Cuyahoga County, Ohio. Three types of tanks were tested: non-leaking tanks registered with the state of Ohio, leaking tanks that are currently not registered, and registered leakers. Results show that close proximity (same block or within 300 feet) to registered, non-leaking tanks and to unregistered leakers did not significantly affect sales price. However, proximity to a leaking, registered tank demonstrated a reduction in price of over 17%.