Studying improved performance in golf

The topic of improved performances by athletes in both team and individual sports has shown that each sport has its own unique set of characteristics and these have to be analysed accordingly. This paper presents an extensive analysis of the nature and extent of improvement in golf by analysing the performances of the top players in the Masters tournament throughout the entire history of the event. The results indicate that golfers are obtaining lower scores over time and that the variation of the scores has declined. Further, the distributions of scores are symmetric and display a monotonic reduction of peakedness (kurtosis). These findings are indicative of rapid and improved performance and increased competition.     

The impact of information and computer based training on negotiators' performance

This paper presents the results of an experiment on negotiation, designed to measure the impact of (1) computerized training and (2) information on negotiators' performanceThe paper is structured as follows. First, we review the literature on negotiation training. Second, we develop a conceptual framework to link various forms of Negotiation Support Systems to joint and individual negotiation performance. Third, we present the negotiation paradigm — a bilateral monopoly — and the computerized training system we used. Regarding training, our results show an asymmetric impact on individual performance levels and, unexpectedly, a negative impact on negotiators' joint performance. In contrast, more information improves both individual and joint performance. Finally, we discuss these results, and outline further research questions.     

Strategic philanthropy and its challenges in India: A multiple case study of grantmaking organizations

Grantmaking organizations in the United States play an increasingly important role in philanthropic giving toward international development issues. Champions of strategic philanthropy have encouraged grantmakers to set clear goals, use evidence‐based strategies, and monitor programs. This exploratory study delves into grantmaking in one of the largest emerging economies; India. Although India is a major recipient of private philanthropy, it continues to perform below average on various socio‐economic indicators. The impact of grantmaking has been unclear. We conducted in‐depth interviews with managers and leaders (n = 9) engaged in decision‐making within U.S. based grantmaking organizations, including nonprofit intermediaries and philanthropic foundations. We examine how the concept of strategic philanthropy is operationalized by participant organizations. Although the participants acknowledge the importance of starting out with a well‐defined strategy, they also face several challenges. We identify some of these challenges, outline how they are being addressed, and discuss implications.     

A family of efficient estimators of the finite population mean in simple random sampling

In this paper an estimator of the finite population mean using auxiliary information in sample surveys has been proposed. The bias and mean squared error are obtained under large sample approximation. It has been shown that the proposed estimator performs better than some recently published estimators.     

A Superstructure of Process Capability Indices for Circular Specification Region

Circular specification regions can be seen in processes like hitting a target (in ballistics), drilling a hole (in manufacturing industries) and so on. However, only a few process capability indices are available in the literature to address the problem. Most of these indices, in turn, make some assumptions like equality of variance and independence of the two axes of the circular tolerance region. Since, in most of the cases, these assumptions are not practically viable, in the present article, we have proposed a few of the process capability indices which do not need the above assumptions to be valid. Also, we propose a superstructure which unifies all the proposed indices. Some properties of these indices have been studied including the threshold value and the relationship of the proportion of non-conformance with the member indices of the superstructure. These strengthen the practical utility of the superstructure. Distributional properties like expectations and variances of the member indices of the superstructure are also studied to have a better insight about the indices. A real life example has been discussed to carry out a comparative study of the performance of the existing as well as the newly developed indices.     

Use of the Bootstrap and Cross-Validation in Ridge Regression

Several existing methods for the choice of the ridge parameter are reviewed, and a bootstrap method is proposed. The bootstrap provides independent measures of prediction errors based on multiple predictions along with an estimate of the standard error of prediction. The bootstrap and selected competitors are compared through Monte Carlo simulations for various degrees of design matrix collinearity and varying levels of signal-to-noise ratio. The procedure is also illustrated by application to two published data sets. In one case, the bootstrap choice of the ridge parameter leads to a smaller mean squared error of prediction than the ridge trace method. In the second case, an optimal choice of no perturbation is confirmed. Benefits of the bootstrap choice include its less subjective nature, ease of implementation, and robustness.     

Book Reviews

Aggregate forecasts using McFadden's conditional logit model of discrete choice harbor the unrealistic implicit assumption of a random-utility distribution that is homogeneous across both alternatives and individuals. This article relaxes that assumption. A choice model is developed that describes the random-utility component as a probability-mixture model. Some numerical results illustrate that the derived model is not constrained by the independence-of-irrelevant-alternatives property. An experimental test of visual perceptions demonstrates the potential superiority of the model.     

Media Effects on Group Collaboration: An Empirical Examination in an Ethical Decision‐Making Context

Even though it is widely acknowledged that collaboration underlies much of the decision‐making efforts in contemporary organizations, and that organizational groups are increasingly making decisions that have ethical implications, few studies have examined group ethical decision‐making processes and outcomes. In addition, while there is increasing evidence that groups often collaborate/communicate using different mediating technologies, few studies have examined the effect of the characteristics of the media in group ethical decision‐making contexts. Finally, there is a clear paucity of studies that have investigated group decision making pertaining to information technology (IT)‐related ethical dilemmas, an area of rising importance for information systems (IS) and decision science researchers. This article seeks to address the gaps described above through an experimental study where groups collaborating either in a face‐to‐face context or in a computer‐mediated context (using NetMeeting or Wiki) were required to make a decision with respect to a scenario with an IT‐related ethical dilemma. Results indicate that media characteristics (e.g., anonymity, immediacy of feedback, parallelism) do not have an effect on whether groups make ethical (or unethical) decisions. However, several media characteristics were found to play a significant role on downstream variables, such as the quality of a follow‐up task (i.e., creation of a decision justification document), and overall process satisfaction of the group members.     

Multiperson Bargaining and Strategic Complexity

We investigate the effect of introducing costs of complexity in the n‐person unanimity bargaining game. As is well‐known, in this game every individually rational allocation is sustainable as a Nash equilibrium (also as a subgame perfect equilibrium if players are sufficiently patient and if n & 2). Moreover, delays in agreement are also possible in such equilibria. By limiting ourselves to a plausible notion of complexity that captures length of memory, we find that the introduction of complexity costs (lexicographically with the standard payoffs) does not reduce the range of possible allocations but does limit the amount of delay that can occur in any agreement. In particular, we show that in any n‐player game, for any allocation z, an agreement on z at any period t can be sustained as a Nash equilibrium of the game with complexity costs if and only if t≤n. We use the limit on delay result to establish that, in equilibrium, the strategies implement stationary behavior. Finally, we also show that ‘noisy Nash equilibrium’ with complexity costs sustains only the unique stationary subgame perfect equilibrium allocation.