Harassment at the Workplace: A Practical Review of the Laws in the United Kingdom and the United States of America

Harassment is a major deterrent for productivity, loyalty, and commitment to one’s job and organization. Unfortunately, many employees tend to experience various forms of harassment in the workplace. The focus in this article is to understand the extent to which the law protects a person from harassment, first based on the explication and application laws in the United Kingdom. The article then provides comparative discussion of laws and practices against workplace harassment in the United States. A major objective of this article is to help employers and managers become more expert in preventing and correcting harassment.     

Multinational enterprises' Entry Mode Strategies and Uncertainty: A Review and Extension

The issue of uncertainty has been one of the most important topics in the research on multinational enterprises' foreign market entry modes. This paper provides a conceptual review of the literature on the role of uncertainty in entry‐mode strategies. It is found that transaction cost theory has focused primarily on entry modes as a way of minimizing behavioural uncertainty, while research using the more recent real options approach has distinguished between endogenous and exogenous types of uncertainty and provided evidence that managing uncertainty through appropriate entry modes may lead to competitive advantage. By synthesizing the relevant literature, this paper provides some new perspectives and avenues for future research on uncertainty and entry‐mode choices by considering the impact of firm learning, prior experience and host market attractiveness.     

Stress and Leadership Tendencies of Respondents from Iran: Exploring Similarities and Differences Based on Age and Gender

The leadership tendencies of people are likely to be influenced by their cultural contexts. For example, it is expected that people from high-context cultures are likely to be more focused on relationships. To explore the behavioral tendencies of working adults in the cities of Tehran and Kerman, this pilot study focused on comparing the leadership and stress perceptions of 228 Iranian respondents based on their age and gender. These respondents have a significantly higher score on relationship orientation. On the other side, the younger respondents from Iran had a significantly higher score on the stress overload perception. Practical suggestions for expatriates and implications for future studies are presented.     

Leadership and Stress Orientations of Germans: An Examination Based on Gender, Age, and Government Work Experience

Today??s working adults often display different leadership orientations, as well as moderate to severe levels of stress depending on the situation and various demographic traits. In order to explore the stress, task orientation and relationship orientation variables of German people, this study examined the differences of 232 respondents in Germany based on their gender, age, and public sector work experience. The results showed that respondents had dissimilar scores on their leadership orientations. Younger respondents had significantly lower task and relationship orientation scores. Furthermore, females reported having a significantly higher level of stress perception. These findings are useful for expatriate managers and professionals who work with German-born workers. Besides, relevant literature on the German culture, suggestions and implications for future studies are presented.     

An Optimal Multivariate Stratified Sampling Design Using Dynamic Programming

Numerous optimization problems arise in survey designs. The problem of obtaining an optimal (or near optimal) sampling design can be formulated and solved as a mathematical programming problem. In multivariate stratified sample surveys usually it is not possible to use the individual optimum allocations for sample sizes to various strata for one reason or another. In such situations some criterion is needed to work out an allocation which is optimum for all characteristics in some sense. Such an allocation may be called an optimum compromise allocation. This paper examines the problem of determining an optimum compromise allocation in multivariate stratified random sampling, when the population means of several characteristics are to be estimated. Formulating the problem of allocation as an all integer nonlinear programming problem, the paper develops a solution procedure using a dynamic programming technique. The compromise allocation discussed is optimal in the sense that it minimizes a weighted sum of the sampling variances of the estimates of the population means of various characteristics under study. A numerical example illustrates the solution procedure and shows how it compares with Cochran's average allocation and proportional allocation.     

Estimation of Population Means in Multivariate Stratified Random Sampling

In multivariate surveys where p (> 1) characteristics are defined on each unit of the population, the problem of allocation becomes complicated. In the present article, we propose a method to work out the compromise allocation in a multivariate stratified surveys. The problem is formulated as a Multiobjective Integer Nonlinear Programming Problem. Using the value function technique, the problem is converted into a single objective problem. A formula for continuous sample sizes is obtained using Lagrange Multipliers Technique (LMT) that can provide a near optimum solution in some cases. It may give an initial point for any integer nonlinear programing technique.     

Lead time adjustment through scrap management

In a discrete parts manufacturing environment, it is necessary to compensate for the decreasing planned batch size resulting from production of scrap (defectives) in the production line, by increasing the planned production volume. This calls for a revision in the initially computed manufacturing lead time (MLT). A survey of the literature reveals that although issues related to product quantity regeneration have been studied in detail, little has been done to assess the impact on manufacturing lead times. This paper discusses the impact of scrap on manufacturing lead time in a shop with an intermittent-flow, bath-oriented, discrete-parts manufacturing environment, producing make-to-stock items.     

On the Problem of Compromise Allocation in Multi-Response Stratified Sample Surveys

In stratified sample surveys, the problem of determining the optimum allocation is well known due to articles published in 1923 by Tschuprow and in 1934 by Neyman. The articles suggest the optimum sample sizes to be selected from each stratum for which sampling variance of the estimator is minimum for fixed total cost of the survey or the cost is minimum for a fixed precision of the estimator. If in a sample survey more than one characteristic is to be measured on each selected unit of the sample, that is, the survey is a multi-response survey, then the problem of determining the optimum sample sizes to various strata becomes more complex because of the non-availability of a single optimality criterion that suits all the characteristics. Many authors discussed compromise criterion that provides a compromise allocation, which is optimum for all characteristics, at least in some sense. Almost all of these authors worked out the compromise allocation by minimizing some function of the sampling variances of the estimators under a single cost constraint. A serious objection to this approach is that the variances are not unit free so that minimizing any function of variances may not be an appropriate objective to obtain a compromise allocation. This fact suggests the use of coefficient of variations instead of variances. In the present article, the problem of compromise allocation is formulated as a multi-objective non-linear programming problem. By linearizing the non-linear objective functions at their individual optima, the problem is approximated to an integer linear programming problem. Goal programming technique is then used to obtain a solution to the approximated problem.