The Impact of in-Service Training and Motivation on Job Performance of Technical & Vocational Education Teachers: Role of Person-Job Fit

In-service education and training (INSET), motivation and person-job fit of workers are considered vital for the performance of employees. The focused purpose of the study is to examine the associations between in-service training and motivation impact on job performance of Technical Vocational Education and Training (TVET) teachers, while examining the moderating role of person-job fit. Using convenience sampling technique, data is collected from TVET teachers in South Asia. The finding of this study revealed a significant impact for in-service training and motivation on job performance. This research study is useful for the HR managers and practitioners to utilize their employee’s true potential to get the desired results.

     

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.     

Overload Stress Perceptions of Public Sector Employees in Pakistan: a Study of Gender,Age, and Education in South Asia

Public Organization Review - Stress impacts all employees in the private and public sectors. This study was conducted with public sector organizations to measure the stress perception of employees...     

The Impact of Organizational Change on Employee Turnover Intention: Does Stress Play a Mediating Role?

This study examined the relationship between change interventions and employee turnover intention to see if change interventions lead to increased employee turnover intention. Moreover, the mediating role of employee stress was tested. Data were collected from 162 respondents working at various administrative positions in a large public organization. The results indicate that employee turnover intention is positively correlated to human process, techno structural, human resources, and strategic interventions. Limitations and direction for future research are provided.     

Defamation by Slander and Libel in the Workplace and Recommendations to Avoid Legal Liability

Public Organization Review - Defamation, or defamation of character, is heard often in the media when one person has supposedly made a false statement that harmed another’s reputation in some...     

Stress,Task, and Relationship Orientations of Dutch: Do Age,Gender, Education,and Government Work Experience Make a Difference?

Working people are often socialized differently based on their age, gender, education, and work experience in the public versus the private sector. To explore the stress, task, and relationship orientations of people in the culture of the Netherlands, this study focused on the differences of 208 Dutch respondents based on the demographic variables. It appears that they have dissimilar scores on the relationship and task orientations. Age, government work experience and education do appear to be a significant factor in their leadership orientation. Also, males seem to be less task-oriented and less relationship-oriented than their female counterparts. Overall, the Dutch respondents reported a moderate level of stress with no gender differences.     

Optimum multivariate stratified double sampling design: Chebyshev's Goal Programming approach

In stratified sampling when strata weights are unknown a double sampling technique may be used to estimate them. A large simple random sample from the unstratified population is drawn and units falling in each stratum are recorded. A stratified random sample is then selected and simple random subsamples are obtained out of the previously selected units of the strata. This procedure is called double sampling for stratification. If the problem of non-response is there, then subsamples are divided into classes of respondents and non-respondents. A second subsample is then obtained out of the non-respondents and an attempt is made to obtain the information by increasing efforts, persuasion and call backs. In this paper, the problem of obtaining a compromise allocation in multivariate stratified random sampling is discussed when strata weights are unknown and non-response is present. The problem turns out to be a multiobjective non-linear integer programming problem. An approximation of the problem to an integer linear programming problem by linearizing the non-linear objective functions at their individual optima is worked out. Chebyshev's goal programming technique is then used to solve the approximated problem. A numerical example is also presented to exhibit the practical application of the developed procedure.     

Optimum Multivariate Stratified Sampling Designs with Travel Cost: A Multiobjective Integer Nonlinear Programming Approach

The problem of optimum allocation in stratified sampling and its solution is well known in sampling literature for univariate populations (see Cochran, 1977 Cochran , W. G. ( 1977 ). Sampling Techniques. , 3rd ed. New York : Wiley . [Google Scholar]; Sukhatme et al., 1984 Sukhatme , P. V. , Sukhatme , B. V. , Sukhatme , S. , Ashok , C. ( 1984 ). Sampling Theory of Surveys With Applications. , 3rd ed. Ames , and New Delhi : Iowa State University Press and Indian Society of Agricultural Statistics . [Google Scholar]). In multivariate populations where more than one characteristics are to be studied on every selected unit of the population the problem of finding an optimum allocation becomes more complex due to conflicting behaviour of characteristics. Various authors such as Dalenius (1953 Dalenius , T. ( 1953 ). The multivariate sampling problem . Skandinavisk Actuarietidskrift 36 : 92 – 102 . [Google Scholar], 1957 Dalenius , T. ( 1957 ). Sampling in Sweden. 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M. ( 2005 ). Mixed allocation in stratified sampling . Aligarh Journal of Statistics 25 : 87 – 97 . [Google Scholar]), Díaz-García and Ulloa (2006 Díaz-García , J. A. , Ulloa , C. L. ( 2006 ). Optimum allocation in multivariate stratified sampling: Multi-objective programming. Comunicación Técnica No. I-06-07/28-03-206 (PE/CIMAT), Guanajuato, México . [Google Scholar], 2008 Díaz-García , J. A. , Ulloa , C. L. ( 2008 ). Multi-objective optimization for optimum allocation in multivariate stratified sampling . Survey Methodology 34 : 215 – 222 .[Web of Science ®] , [Google Scholar]), Ahsan et al. (2009 Ansari , A. H. , Najmussehar, Ahsan , M. J. ( 2009 ). On multiple response stratified random sampling design . International Journal of Statistical Sciences , Kolkata, India, 1(1):1–11 . [Google Scholar]) etc. used different compromise criteria to work out a compromise allocation that is optimum for all characteristics in some sense.

Almost all the previous authors used some function of the sampling variances of the estimators of various characteristics to be measured as an objective that is to be minimized for a fixed cost given as a linear function of sample allocations. Because the variances are not unit free it is more logical to consider the minimization of some function of squared coefficient of variations as an objective. Previously this concept was used by Kozok (2006 Kozok , M. ( 2006 ). On sample allocation in multivariate surveys . Communication in Statistics—Simulation and Computation 35 : 901 – 910 .[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]).

Furthermore, investigators have to approach the sampled units in order to get the observations. This involves some travel cost. Usually this cost is neglected while constructing a cost function. This travel cost may be significant in some surveys. For example if the strata consist of some geographically difficult-to-approach areas.

The authors problem of optimum allocation in multivariate stratified sampling is discussed with an objective to minimize simultaneously the coefficients of variation of the estimators of various characteristics under a cost constraint that includes the measurement as well as travel cost. The formulated problem of obtaining an optimum compromise allocation turns out to be a multiobjective all-integer nonlinear programming problem. Three different approaches are considered: the value function approach, ∈ –constraint method, and Distance–based method, to obtain compromise allocations. The cost function considered also includes the travel cost within stratum to reach the selected units. Additional restrictions are placed on the sample sizes to avoid oversampling and ensure the availability of the estimates of the strata variances. Numerical examples are also presented to illustrate the computational details of the proposed methods.     

DOES CORRUPTION ATTENUATE THE EFFECT OF RED TAPE ON EXPORTS?

I use firm ‐level data to examine whether corruption attenuates the adverse effects of red tape on exports. I find that, conditional on there being customs‐related red tape, a firm is better off if it can use bribes to lower the delay that it faces. However, I also find that corruption has a negative overall effect on a firm's decision to export. That is, corruption prevents some firms from entering the export market. These results suggest that to gauge the overall effect of corruption, we must compare its red‐tape attenuating effect with its adverse effect on a firm's decision to export. (JEL F10, F14, K42)