Stock Market Reaction to Quality,Safety, and Sustainability Awards in Logistics

Although quality, safety, and sustainability are important concerns in logistics, managers are sometimes reluctant to invest in these areas because it is not always clear how such investments will benefit firm performance. Empirical literature provides little guidance in the context of logistics as previous studies report mixed findings across a diverse set of industries, which may not be directly applicable to logistics. To address this gap, we conducted an event study to estimate the stock market reaction to quality, safety, and sustainability award announcements in logistics. Based on 244 award announcements during the period 2004–13, we found that stock market participants react positively to announcements of these awards. The market reaction appears to be stronger for sustainability awards than for quality and safety awards. Our results also suggest that the market reacts more favorably to quality and sustainability award announcements for firms with better past financial performance and for smaller firms.     

An inductive reasoning approach for building system safety risk models of aviation accidents

An inductive reasoning approach is employed to develop a prototype hybrid decision support tool whose main objective is to build probabilistic causal models representing the safety risk involved in aviation accidents. In this context, 15 aircraft accidents representative of five major accident types are selected to build an initial seed for the case‐base of the prototype tool. Consequently, within each individual accident model, main clusters of causal factors are identified for inclusion in the initial seed, thereby improving, both quantitatively and qualitatively, the case‐base of the prototype tool. A new methodology developed specifically for indexing aviation accidents into databases is used for indexing the initial seed into the case‐base of the tool. The resulting product is a highly customized conversational decision support tool that provides solution possibilities in the form of probabilistic causal models of accident scenarios retrieved and ranked according to their similarity to the current accident that the intended user investigates.     

Religiosity versus rationality: Depositor behavior in Islamic and conventional banks

This study investigates the behavioral aspects of Islamic bank depositors in a dual banking system. By categorizing depositors into groups based on the amount of their deposited funds, we estimate the responses of these groups to interest rate changes. We take the findings of conventional banks as a comparative baseline and investigate the extent to which the changes in different Islamic depositor groups differ from conventional depositor groups. The findings show that depositors in both Islamic and conventional banks respond to interest rate changes. The analysis indicates that Islamic bank depositors are more responsive when their deposit sizes are larger. When Islamic bank depositors’ opportunity costs rise due to a rise in the interest rate, they do not hesitate to withdraw deposits. The relation between interest rate changes and deposits is more robust in Islamic banks than in conventional banks.     

A credit scoring approach for the commercial banking sector

For managing credit risk, commercial banks use various scoring methodologies to evaluate the financial performance of client firms. This paper upgrades the quantitative analysis used in the financial performance modules of state-of-the-art credit scoring methodologies. This innovation should help lending officers in branch levels filter out the poor risk applicants. The Data Envelopment Analysis-based methodology was applied to current data for 82 industrial/manufacturing firms comprising the credit portfolio of one of Turkey's largest commercial banks. Using financial ratios, the DEA synthesizes a firm's overall performance into a single financial efficiency score—the “credibility score”. Results were validated by various supporting (regression and discriminant) analyses and, most importantly, by expert judgments based on data or on current knowledge of the firms.     

The efficient paths to infinity in closed leontief models

For a simple Leontief technology, the results of finite-horizon turnpike theorems are extended to the case of infinite horizon. Further qualitative information is obtained about the set of efficient programs. Uniqueness is discussed, and shown by an example to be not true in general.