Investigating the Role of Enablers to Achieve Organizational Agility using Multiple Regression

The current study is aimed at investigating the role of agile enablers to achieve agility in Pegah Tehran Dairy Co. using multiple regression. In this study, a regression model was employed to achieve the ideal agility level, as well as analyze the effect of indicators and provide an optimal path to achieve agility. To this end, 96 questionnaires were distributed among the managers of Pegah Tehran Dairy Co., and the research tests were carried out by means of SPSS and Smart PLS software. The validity tests used in this research were average variance extracted (AVE) and the Lawshe test, respectively, with coefficients more than 0.5 and 0.8 for research variables. In fact, the resulting coefficients indicate the sufficient validity of the investigated questionnaire. Moreover, Cronbach’s alpha test was utilized to measure its reliability, with a coefficient of more than 0.7 for all dimensions of the questionnaire, exhibiting its reliability. The results revealed that the variables of automation and employees had the most effect, and the technology variable had the least one. Besides, to achieve an acceptable level of each of the dimensions of agility attributes, the key variable(s) extracted from the analysis of this research should be identified, and the desired results would be achieved by making changes to them. In this case, maximum efficiency can be achieved, and the agility level can be improved with minimum time and cost.