Design Improvements for Message Propagation in Malleable Social Networks

This study presents the formal problem definition and computational analysis of the network design improvements for idea and message propagation in both enterprise and consumer social networks (ESN and CSN, respectively). Message propagation in social networks is impacted by how messages are seeded in the network, and by propagation characteristics of the network topology itself. It has been recognized that the propagation properties of these networks can be actively influenced by network design interventions, such as the deliberate creation of new connections. We address the problem of finding cost‐effective message seeding, and identifying potential new network connections that allow improved propagation in social networks with cascade propagation. We use the hop‐constrained minimum spanning tree (HMST) model to find the seeds and possible new connections that result in networks with improved propagation properties. Moreover, we present new heuristic algorithms that substantially improve the solution quality for the HMST problem. Computational results posit that the design improvements proposed by the HMST approach can greatly improve cascade propagation performance of the networks at low cost.     

On batch queueing systems: A combinatorial approach

We consider batch queueing systems M/M^H/1$M/M^H/1$ and M^H/M/1$M^H/M/1$ with catastrophes. The transient probability functions of these queueing systems are obtained by a Lattice Path Combinatorics approach that utilizes randomization and dual processes. Steady state distributions are also determined. Generalization to systems having batches of different sizes are discussed.     

Spillover Impacts of a Reproductive Health Program on Elderly Women in Rural Bangladesh

This paper extends the program evaluation literature by investigating intra-household externalities generated by a reproductive health program, administered as a quasi-control experiment in rural Bangladesh. Although the program targeted only mothers and children in randomly selected treatment areas, using a reduced form demand approach and data from Matlab Health and Socio-economic Survey of 1996, we found a significantly positive spillover impact of this reproductive health program on the health of the never-targeted elderly women.

Policy Simulation of the Indian Silk Industry through an Econometric Model

This study aimed at understanding and quantifying the relationship between the important variables of the various subsectors of the Indian silk industry through an econometric simulation model, and using the model for forecasting as well as policy simulations. Forecasts of the endogenous variables of the system (demand, supply, and prices of mulberry cocoons, raw silk, and silk fabric) for the period 1991–92 to 2000–01 indicates that the growth in the industry will slow down in the future. Policy simulations were undertaken to assess the changes in the import price of raw silk, export price of fabrics, and regulation of the quantity of imports of raw silk on the silk industry. While imports and exports were closely linked, their impact on the silk industry was not very high. It was also revealed that the income of the consumers and mulberry acreage have significant influence on the industry.     

Managing Risks in Multiple Online Auctions: An Options Approach*

The scenario of established business sellers utilizing online auction markets to reach consumers and sell new products is becoming increasingly common. We propose a class of risk management tools, loosely based on the concept of financial options that can be employed by such sellers. While conceptually similar to options in financial markets, we empirically demonstrate that option instruments within auction markets cannot be developed employing similar methodologies, because the fundamental tenets of extant option pricing models do not hold within online auction markets. We provide a framework to analyze the value proposition of options to potential sellers, option‐holder behavior implications on auction processes, and seller strategies to write and price options that maximize potential revenues. We then develop an approach that enables a seller to assess the demand for options under different option price and volume scenarios. We compare option prices derived from our approach with those derived from the Black‐Scholes model ( Black & Scholes, 1973 ) and discuss the implications of the price differences. Experiments based on actual auction data suggest that options can provide significant benefits under a variety of option‐holder behavioral patterns.     

The relationship between training outsourcing and employee commitment to organization

In many countries, the human resource practice of training outsourcing has emerged as one of the fastest growing segments of the broader business process outsourcing industry. In spite of the growing popularity in professional practice, training outsourcing continues to be subjected to critical review and ongoing debate with most attention focused on the decision to ‘outsource’ or ‘not to outsource’. However, there exists a shortage of research on training outsourcing as a human resource development (HRD) practice and the potential relationships with desired organizational outcomes including employee commitment. This exploratory international study extends previous research that has examined the relationship between training and organizational commitment by focusing exclusively on outsourced training. Data were collected from information technology firms in two countries: India and the United States. Results showed positive relationships between specific measures of employee perceptions of quality, usefulness and supervisor support for outsourced training with organizational commitment. Recommendations are made for future research as well as for professional practice to guide HRD practitioners involved in the rapidly growing global practice of training outsourcing.     

E‐Procurement Infusion and Operational Process Impacts in MRO Procurement: Complementary or Substitutive Effects?

The procurement of maintenance, repair, and operating (MRO) goods has remained a relatively understudied topic in the literature. Though vital cost efficiencies can be extracted from procurement processes through investments in e‐procurement systems, there is little empirical work that addresses how such systems should be deployed within organizations. In this study, we focus on the role of e‐procurement systems in MRO procurement and study two critical aspects of infusion. The first dimension captures the depth of e‐procurement use within the procurement function, while the second dimension depicts the breadth of use. We argue that these two dimensions of e‐procurement use, and their interaction, will be related to the performance of the MRO procurement process. Using survey data from 193 service organizations and structural equation modeling techniques, we show that the two infusion dimensions are significantly associated with improved process performance. Additionally, we show a substantial substitutive effect between the two use dimensions on performance. Our work has significant implications for managers who seek to gain efficiencies by the deployment of Internet‐based technologies within operational processes. Our conceptualization of e‐procurement infusion along two dimensions provides a more fine‐grained analysis of performance benefits accruing from the infusion of information technologies within organizations.     

Production lot sizing with process deterioration and machine breakdown under inspection schedule

The paper develops integrated production, inventory and maintenance models for a deteriorating production system in which the production facility may not only shift from an ‘in-control’ state to an ‘out-of-control’ state but also may break down at any random point in time during a production run. In case of machine breakdown, production of the interrupted lot is aborted and a new production lot is started when the on-hand inventory is depleted after corrective repair. The process is inspected during each production run to examine the state of the production process. If it is found in the ‘in-control’ state then either (a) no action is taken except at the time of last inspection where preventive maintenance is done (inspection policy-I) or (b) preventive maintenance is performed (inspection policy-II). If, however, the process is found to be in the ‘out-of-control’ state at any inspection then restoration is done. The proposed models are formulated under general shift, breakdown and repair time distributions. As it is, in general, difficult to find the optimal production policy under inspection policy-I, a suboptimal production policy is derived. Numerical examples are taken to determine numerically the optimal/suboptimal production policies of the proposed models, to examine the sensitivity of important model parameters and to compare the performance of inspection and no inspection policies.     

On the bias and mean-square error of order-restricted maximum likelihood estimators

The inverse Gaussian family (IG) (μ,λ) is a versatile family for modelling nonnegative right-skewed data. In this paper, we propose robust methods for testing homogeneity of the scale-like parameters λ_i from k independent IG populations subject to order restrictions. Robustness of the procedures is examined for a variety of IG-symmetric alternatives including lognormal and the recently introduced contaminated inverse Gaussian populations. Our study shows that these inference procedures for the inverse Gaussian scale-like parameters and their properties exhibit striking similarities to those of the scale parameters of the normal distribution.