Purpose The purpose of this paper is to develop an employee job performance (EJP) scale questionnaire that encompasses the job time, job quality and job quantity dimensions of employee performance. Design/methodology/approach In this study, the questionnaire questions were first validated using exploratory factor analysis (EFA) and then confirmatory factor analysis (CFA) along the three performance dimensions. The research samples were auto-parts assembly line workers. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by the composite reliability (CR) and the average variance extracted (AVE). Findings The questionnaire questions identified three factors of EJP, namely, job time, job quality and job quantity, with 13 items. The factor analysis results confirmed the validity of the questionnaire as a reliable employee performance evaluation tool, as evidenced by a CR of 0.894 and AVE of 0.739, in addition to χ2=63.340, df=54, p=0.180, goodness of fit index=0.976, adjusted goodness of fit index=0.960, RMSEA=0.021 and root mean square residue=0.014. Research limitations/implications The EJP scale questionnaire was examined using only EFA and CFA. These scales are expected to help academics, researchers and practitioners test theories. Because of the features of the sample, the final results should be considered carefully. Practical implications Importantly, the factor analysis results suggest that the proposed EJP scale questionnaire can be applied to various industries and settings either as is or with minimal modifications. Originality/value The EJP questionnaire is novel and can serve as an excellent EJP tool to measure employees’ behavioral output. The questionnaire can provide empirical data on employee performance output based on the employee’s perspective.

Purpose The purpose of this paper is to investigate the direct and indirect influences of workplace environment factors on the motivation to transfer the acquired training (MT) and the transfer of training. The workplace environment factors under study encompass the organizational support, supervisor support, peer support, technological support and the opportunity to use the acquired training. Design/methodology/approach In the study, the empirical data were garnered from a sample of 220 business school students, using a 52-question questionnaire. A research framework was first proposed and the structural equation modeling subsequently utilized to test the research framework and determine the direct influence of the workplace environment factors on the transfer of training and also their indirect influence on TT through the MT variable. Findings The structural equation modeling model is congruent with the empirical data, with the χ2 statistic of 24.414, the degree of freedom of 21, the p-value of 0.273, the goodness of fit index of 0.977 and the root mean square error of approximation of 0.027. The findings revealed that the workplace environment factors directly influenced the training transfer behavior of the participants and indirectly through the MT of the individuals. Most importantly, the proposed model could achieve the coefficient of prediction (R2) as high as 82 percent. Originality/value Workplace environment is important to motivation to transfer and transfer of training. To enhance the training transfer effectiveness, businesses should take into account the contributions associated with each environment factor in the design and implementation of training programs.

Influences of attainment value and positive thinking were assessed as moderators of employee engagement and innovative work behaviour. A cross-sectional design was utilised with questionnaires submitted to 348 human resource officers to test the proposed relationships. SPSS 21 and PROCESS macro 3.1 were used for statistical analysis. Results revealed that positive thinking effectively moderated attainment value and employee engagement with regard to innovative work behaviour with statistical significance. Results can be utilised by managers and human resource departments to promote and support innovative work behaviour. Moreover, employees should be encouraged and motivated to perceive attainment value through positive thinking. Findings contribute to the literature on employee engagement and innovative work behaviour by highlighting that attainment value and positive thinking act as moderators that promote employee engagement and innovative work behaviour.

Purpose The purpose of this paper is to develop a performance management (PM) scale questionnaire that encompasses the pre-requisite, performance planning, performance evaluation, performance review, and performance application dimensions of PM. Design/methodology/approach In the study, the 33 questionnaire questions were first validated using exploratory factor analysis (EFA) and then by confirmatory factor analysis (CFA) along the three performance dimensions. The research sample consists of 330 entrepreneurs. The factor analysis results confirm the validity of the questionnaire as a reliable entrepreneur PM evaluation tool, as evidenced by the composite reliability of 0.845 and the average variance extracted of 0.532. Findings All constructs revealed the acceptable internal consistency reliability. A good model fit was found for the measurement model using several fit index like χ2=449.983, degree of freedom=415, p-value (p)=0.114, goodness of fit index=0.927, adjusted goodness of fit index=0.901, root mean square error of approximation=0.016, and root of mean square residuals=0.032. Research limitations/implications The PM model was examined using EFA and CFA only. A sample with only SMEs entrepreneurs and large sample size and sample area can be used in future research. Practical implications This research paper is an endeavor to explore only the reliability and validity of the PM model. Thus all the five dimension, namely “pre-requisite” “performance planning,” “performance evaluation,” “performance review,” and “performance application” proved out of be reliable and validated when it will be tested in case of SMEs’ high-growth sectors and high-impact sectors. Originality/value The main contribution of this research is that all factors have a good fit and acceptable reliability value; each factor can be measured individually depending on the nature of the research.

Performance management (PM) plays a vital role in the successful operation of an organization. It is essential for organizations to understand the correlations between factors, problems and solutions to enhance the efficiency of PM. Mixed method research is applied, including explanatory sequential design (Quan ! Qual). By analysing findings and interviews from a cluster of small and medium enterprise (SME) high-growth sectors and high-impact sectors based on descriptive and inferential statistics, the PM finding is that these two SMEs are not different. Moreover, the factors that influence PM are recruitment, retention and retirement. Regarding PM problems, the key factors are a lack of employee participation, unclear goals, unfair evaluations, ineffectual communication and ineffective application of evaluations to improve PM. Therefore, related private and government organizations should enhance their knowledge and understanding of problemsolving procedures by attending trainings or discussing these topics with experts to raise their awareness of PM and to learn how to resolve related issues, particularly factors that directly influence PM, to ensure progress in their performance.