A comparative study of three leadership approaches in India

We examined the validity of three leadership approaches in an organization in India. We used a multi-theory and multi-method design to competitively test transformational leadership theory, the nurturant–task leadership model, and a local organization-specific leadership model. Transformation leadership theory is one of the most widely studied and accepted theories in Western countries and is viewed as a universalistic leadership approach. The nurturant–task leadership model was developed in India and viewed as a culture-specific leadership approach. We also developed a local leadership model, called RDO, a pseudonym for the organization, and viewed it as an organization-specific leadership approach, using a qualitative analysis of interview data. The overall results of our qualitative–quantitative work provide strong support for the RDO leadership model, some support for a nurturant–task leadership model, and minimal support for transformational leadership theory. These results suggest that research designs that include a multi-theory, multi-methods approach in a single culture have the potential to increase our understanding of leadership processes.     

A Service Provider's Elicitation of Its Customers’ Demand Distributions by a Price Mechanism

In a service environment a service provider needs to determine the amount and kinds of capacity to meet customers’ needs over many periods. To make good decisions, she needs to know the probability distribution of her customers’ demand in each period. We study a situation in which customers’ demand for a given service is random in each period, but inelastic, or modeled well by this assumption, and cannot be delayed to the next period. This article presents a mechanism that allows a service provider to learn the distribution of a customer's demand by offering him a set of contracts through which he can partially prepay for future service for a reduced cost for units of service based on anticipated needs. We describe the form of a set of contracts that will cause the customer to reveal his demand distribution as he minimizes his expected costs. To justify the effort of organizing and offering contracts, we present an application that demonstrates the cost savings to the service provider with better capacity planning using the truthfully elicited distribution.     

AN INTERNATIONAL COMPARISON OF LIFETIME INEQUALITY: HOW CONTINENTAL EUROPE RESEMBLES NORTH AMERICA

We compare earnings inequality and mobility across the United States, Canada, France, Germany and the United Kingdom during the late 1990s. A flexible model of earnings dynamics that isolates positional mobility within a stable earnings distribution is estimated. Earnings trajectories are then simulated, and lifetime annuity value distributions are constructed. Earnings mobility and employment risk are found to be positively correlated with base‐year inequality. Taken together they produce more equalization in countries with high cross‐section inequality such that the countries in our sample have more similar lifetime inequality levels than cross‐section measures suggest.     

Inventory Policy with Parametric Demand: Operational Statistics,Linear Correction,and Regression

In this paper, we consider data‐driven approaches to the problem of inventory control. We first consider the approach of operational statistics and review related results which enable us to maximize a priori expected profit uniformly over all parameter values, when the demand distribution is known up to the location and scale parameters. For the case of the unknown shape parameter, we first suggest a heuristic approach based on operational statistics to obtain improved ordering policies and illustrate the same for the case of a Pareto demand distribution. In more general cases where the heuristic is not applicable, we suggest linear correction and support vector regression approaches to better estimate ordering policies, and illustrate these using a Gamma demand distribution. In certain cases, our proposed approaches are found to yield significant improvements.     

The effects of state-dependent human behavior on the design of a serial line

Most research on line design assumes that human operators perform independently from the status of the line. Recent empirical evidence is contradictory. Humans are likely to change their working speed if they might otherwise cause idle time (Schultz et al., Manage Sci 44(12):1595–1607, 1998). This peculiarity of worker behavior is observed in a variety of settings but little is still known about optimal line design that accounts for this more realistic modeling of worker behavior. Therefore, we analyze work allocation in a serial line with limited buffer capacity and adaptive human behavior. An extensive simulation study reveals that optimal work allocation in state-dependent models is different from classical state-independent models. A bowl-shaped work allocation might be suboptimal and design guidelines are more complicated. Depending on the extent of human reactions, a bowl-shaped, balanced, or reversed-bowl work allocation can be preferable.     

A hospital protocol to resolve complaints against staff physicians

Complaints of discrimination or harassment in the workplace have become almost commonplace in recent years, increasing in both frequency and variety. In the hospital setting, this trend is manifested in allegations against members of the medical staff by hospital employees as well as by patients or their families. Whether real or fancied, such allegations are reflective of a potentially disruptive undercurrent of organizational tensions. Left unresolved, they can erode the essential partnership between staff physicians and other members of the health care delivery team. Unsatisfactory patient experiences may also damage the reputation of the institution and thereby undermine its viability. With either group of complainants, allegations of malfeasance that are not resolved at the source in a timely manner are far more likely to result in expensive, time-consuming, and potentially damaging litigation.     

Cost-effective rehabilitation: Part 1--Basic principles

Patients may be referred for rehabilitation services with a variety of diagnoses, including stroke, spinal cord injury, brain injury, multiple trauma, orthopedic disorders, arthritis, multiple medical problems, and chronic pain. The goals and endpoints for treatment of these conditions are often unclear. The principles that are described in this article provide a structure for creating efficient and effective rehabilitation treatment plans. These principles can also focus the utilization and peer review processes and can assist in determining medical necessity of rehabilitation services. Part one of this two-part article discusses general principles of cost-effective rehabilitation. Part two, in the December 1995 issue, will focus on individual patient management issues.     

Keeping the "care" in managed care: the importance of the therapeutic relationship and psychosocial factors in the managed care setting

There is much truth in the adage that "the more things change, the more they stay the same." Nowhere does this seem more apparent than in health care where, amidst monumental reconfiguration, basic foundations of physician-patient relationships and attention to the impact of psychosocial factors on health and health care delivery remain as critical influences. While the importance of the therapeutic relationship and the influence of psychosocial factors in medical care has been clear in traditional systems of delivery, these factors may be even more critical in managed care systems. These emphases must be incorporated by design, however, and not left to default.     

You have the job you wanted--now what?

We've had calls from physicians who finally have the medical management job they always wanted and then a month later they wondered why they wanted it. I asked seven physician executives to come together as a group and talk to me about this issue. I also asked them what skills they needed most when they first got the job and, as time passed, which skills continued to be most useful. I have not used their names because they were open enough to talk about some very sensitive issues.     

Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.