Tasks and Organizations: A Signal Detection Model of Organizational Decision Making

This paper presents a mathematical model to study the joint impact of organizational design and of the task environment on the decision performance of hierarchical organizations with limited internal communication. The problem context is a special class of distributed situation assessment problems, where possible patterns of binary variables are to be classified on the basis of partial and noise-corrupted information. Structural properties of tasks and organizations are described using a graph formalism, and optimal decision strategies at all decision makers are determined. Organizational expertise is characterized in the form of a Team Relative Operating Characteristic (TROC) curve, thereby replacing the organization by an equivalent single decision maker. Implementing the model, issues of task decomposition and the process of matching organizations with tasks are discussed.     

The Monetary Multiplier

After modelling the circulation of money as a Markov chain, a special multiplier is set up, explained and investigated. It describes, in mathematical terms, the enlivening course of new money, or the propagation of a monetary injection into a given economy, which David Hume inspected in his famous essay. Some explanation is given to why he considered it, justly, as a transitory phenomenon.     

Efficient learning via simulation: A marginalized resample-move approach

In state–space models, parameter learning is practically difficult and is still an open issue. This paper proposes an efficient simulation-based parameter learning method. First, the approach breaks up the interdependence of the hidden states and the static parameters by marginalizing out the states using a particle filter. Second, it applies a Bayesian resample-move approach to this marginalized system. The methodology is generic and needs little design effort. Different from batch estimation methods, it provides posterior quantities necessary for full sequential inference and recursive model monitoring. The algorithm is implemented both on simulated data in a linear Gaussian model for illustration and comparison and on real data in a Lévy jump stochastic volatility model and a structural credit risk model.     

Transformational Leadership: Managing the Twenty‐First Century Sales Force

In today's more diverse sales organizations, sales managers face important interpersonal challenges to achieving high‐quality relationships, which result in better performance within their sales force. In this article, it is argued that cultural distance can negatively influence sales manager and sales subordinate relationships. The quality of these relationships ultimately influences the level of effort that sales subordinates exert toward achieving organizational sales goals. However, despite the potential obstacle of cultural distance, sales managers can utilize transformational leadership as a means to mitigate its adverse effects on one‐to‐one relationships with members of the sales force.     

Comparing the patronage selection criteria of the elderly: chronological age versus dependency

This study investigates the impact of the degree of retailer international involvement (DRII), which we define as the number of geographic regions in which a retailer operates, on retailer performance. The data cover 16 international retailers over the period 1996–2012. The findings of the study show that DRII is negatively related to retailer performance. We also find that the cultural distance between the home and host country moderates the relationship between DRII and retailer performance.     

Estimating the structural credit risk model when equity prices are contaminated by trading noises

The transformed-data maximum likelihood estimation (MLE) method for structural credit risk models developed by Duan [Duan, J.-C., 1994. Maximum likelihood estimation using price data of the derivative contract. Mathematical Finance 4, 155–167] is extended to account for the fact that observed equity prices may have been contaminated by trading noises. With the presence of trading noises, the likelihood function based on the observed equity prices can only be evaluated via some nonlinear filtering scheme. We devise a particle filtering algorithm that is practical for conducting the MLE estimation of the structural credit risk model of Merton [Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance 29, 449–470]. We implement the method on the Dow Jones 30 firms and on 100 randomly selected firms, and find that ignoring trading noises can lead to significantly over-estimating the firm’s asset volatility. The estimated magnitude of trading noise is in line with the direction that a firm’s liquidity will predict based on three common liquidity proxies. A simulation study is then conducted to ascertain the performance of the estimation method.     

On platforms,incomplete contracts,and open source software

We analyze investment incentives for a firm A owning a software platform and an application and a firm B deciding whether to develop a new application for the platform. While B's entry helps the success of the platform, B fears ex post expropriation by A and is hence reluctant to enter and invest. We show that different platform governance structures prevalent in the Information and Communication Technology industry (integrated, proprietary, standardized, open source platform) serve to balance investment incentives for the platform and for the applications.     

Do Retail Foreign Direct Investment Restrictions Affect Retail Channel Structure?

The purpose of this study is to contribute to the existing retail channel structure research by investigating the impact of retail foreign direct investment (FDI) restrictions on retail channel structure as well as the moderating impact of a country's level of economic development on this relationship. Using a panel data set of 79 countries over the period 1999–2012, we show that retail FDI restrictions can influence retail channel structure development and that the relationship between retail FDI restrictions and retail channel structure is moderated by a country's level of economic development.