The role of human sigma in improving the performance of sports organizations

The objective of this study was to investigate the role of human sigma in improving the performance of sports organizations.

Based on Morgan sampling table, 560 individuals (380 athletes and 180 executives) were selected by cluster sampling. Questionnaires were used to collect the data. Confirmatory factor analysis was run to fit the model. To test the research hypotheses, the Kolmogorov-Smirnov test was first employed to identify the normal distribution of the data. Spearman correlation test and Kruskal-Wallis test were also run to determine the relationship between the variables. SPSS 24 software was used to analyze the collected data.

Factor analysis of customer participation, employee participation and performance questionnaires showed four, three, and four factors, respectively. Reliability coefficients of the questionnaire variables ranged from .91 to .96. The data were analyzed using an appropriate correlation coefficient and structural equation analysis. The results showed that there is a significant relationship between human sigma, performance, employee participation, and customer participation.

Sport organizations need to use the human sigma method to improve the process of managing employees and customers within the organization in order to achieve financial success, faster growth of the sports organization, human participation and cost concentration.