QUANTITATIVE TECHNIQUES IN MARKETING: AN ASSESSMENT OF TEACHING AND USAGE PATTERNS

This paper presents the perspectives of quantitative techniques in academics and practice. Based on the findings of an empirical study, the academicians and practitioners emphasize different techniques and prefer different journals for keeping abreast. This reveals the areas for curriculum improvement to orient the program toward the practitioners.     

The role of advanced start and dominance rules in simulated annealing for parallel processor scheduling problems

Simulated annealing (SA) has been widely used to solve hard combinatorial optimization problems during the last decade. The application of SA requires the initialization of certain parameters and an initial solution to start the search with. An emphasis in the application of SA has been on the determination of the best initial values of the parameters, however, the starting solution has traditionally been randomly generated. In this paper, we study the effects of the quality of the starting solution and the use of dominance rules on the performance of SA. We show that the better the initial solution used by the SA, the better the final solution produced by it, i.e. the level of improvement achieved by the SA is dependent on the quality of the initial solution. This is demonstrated using various parallel processor scheduling problems. We have also found that dominance rules (applied in conjunction with SA) may in some cases lead to further improved solutions, but their inclusion in an SA scheme must be determined during the preliminary experimentation, in parallel to the determination of the best SA-parameter values. These findings have a long-term impact, as they suggest that the performance of SA schemes that are currently available in the literature can be further improved by starting from a good solution, if available, or by implementing SA in a sequential manner, i.e. several times, by starting from the best solution found in the previous run.     

Perturbation analysis for the minimum sum of absolute errors regression

In this paper we study the effect of independent and simultaneous changes in the values of the response variable for all the observations on the minimum sum of absolute errors (or for brevity absolute errors) regression. We develop an algorithm to determine the maximum amount by which the values of the response variable can change without changing the absolute errors regression hyperplane. We illustrate the results with an example.     

Coefficients of determinations for variable selection in the msae regression

Our objective is to modify a robust coefficient of determination for the minimum sum of absolute errors MSAE regression proposed by McKean and Sievers (1987) so that it satisfies all the desirable properties. We also propose an adjusted coefficient of determination that is appropriate for comparing several models with different number of variables. Further, it has the property that if it decreases with the addition of predictor variables to the model, then the contribution of these variables is statistically non-significant. We illustrate the results with an example.     

Cultural Values of Indian Managers: An Exploration through Unstructured Interviews

The present research addressed and explored the cultural values that Indian managers may apply in their business activities. Criticisms of research in this area include the use of Western theories and methods that may ignore cultural factors. The present study sought to overcome this concern by using unstructured interviews to collect qualitative data. This approach allowed for exploration of value diversity and contextual influences, which both tend to characterize Indian organizational behavior. Results suggested evidence of cultural values such as yogic spirituality, non-attachment, interconnectedness with others, nonviolence, tolerance, and a sense of duty. Some respondents however espoused values in direct opposition to the traditional culture. The managers in this sample also largely espoused the use of participative management and employee empowerment. Results are discussed with regard to current literature. This revised version was published online in July 2006 with corrections to the Cover Date.     

Computation of probability and non-centrality parameter of a non-central f-distribution

The small sample properties of the score function approximation to the maximum likelihood estimator for the three-parameter lognormal distribution using an alternative parameterization are considered. The new set of parameters is a continuous function of the usual parameters. However, unlike with the usual parameterization, the score function technique for this parameterization is extremely insensitive to starting values. Further, it is shown that whenever the sample third moment is less than zero, a local maximum to the likelihood function exists at a boundary point. For the usual parameterization, this point is unattainable. However, the alternative parameter space can be expanded to include these boundary points. This procedure results in good estimates of the expected value, variance, extreme percentiles and other parameters of the distribution even in samples where, with the typical parameterization, the estimation procedure fails to converge.     

Organizational Philosophies of Japanese companies in the U.S.A.

The paper presents data about the Organizational Philosophies of fifty-nine Japanese owned companies in the United States. Harmony emerged as the single most popular element in these Organizational Philosophies. Data about specific concepts of Organizational Philosophy (kaizen, correct attitudes) were also obtained. Mechanisms to encourage the adoption and use of Organizational Philosophy were investigated. The evidence suggests that Organizational Philosophy continues to be an important aspect of Japanese companies in the U.S.A., and that American managers of these companies are accepting these Philosophies.An earlier version of this paper was presented at the 1991 International Academy of Management and Marketing Annual Conference held in Detroit, MI.     

Efficient Algorithms for a Scheduling Problem and its Applications to Illicit Drug Market Crackdowns

We give polynomial time algorithms for a job scheduling problem. By duality we transform a special case of the drug market crackdown schedulingproblem to the above job scheduling problem and thus derive polynomial timealgorithms to the second problem. Finally, using the algorithm for the specialcase, we develop a quasipolynomial time approximation algorithm for thegeneral case of the drug market crackdown scheduling problem with monomialcost functions.