International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 11 Issue II Feb 2023- Available at www.ijraset.com The comparison of RII with the corresponding importance level is measured from the transformation matrix as proposed by Chen et al. (2010). According to author, derived importance levels from RII are as follows: Table -2: Importance Level from RII High (H) 0.8 < RII < 1.0 High-Medium (H-M) 0.6 < RII < 0.8 Medium (M) < RII < 1.0 0.4 < RII < 0.6 Medium-Low (M-L) 0.2 < RII < 0.4 VII. RESULTS AND DISCUSSION The analysis and results of the study revealed that 59% of respondents opinion was that, the employees’ family atmosphere affects the productivity in SSIs.77% of respondents opinion was that financial position of employee doesn’t have effect on productivity. 85% of respondents opinion was that the employee with higher educational qualification than the required qualification does not affect the productivity.74% of the employees response is that there is no relation between productivity and the number of employees dependents.74% of the respondents said that, if the employees is with good mental health ,then productivity improves. Table 3 shows the RII summary. Table 3: Relative Importance index (RII) summary Sl No. Criteria RII Importance level 1 Mental health 0.80 High 2 Family atmosphere 0.68 High Medium 3 Numbers of dependents 0.41 Medium 4 Financial position 0.38 Medium low 5 Higher educational qualification 0.32 Medium low Relative Importance Index (RII) 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0.8 0.68 0.41 0.38 0.32 RII Mental health Family atmosphere Numbers of dependents Financial position Higher educational qualification Figure 2: Graphical representation of RII From the above statistics it’s revealed that employee’s mental health and family atmosphere and has greater impact on productivity and criteria like employee’s financial position, higher education and number of dependents have less impact on productivity. Figure 2 shows the RIIs of the different factors considered for the study. REFERENCES [1] [2] Abolhassani, A., Jaridi, M., 2016. Productivity Enhancement in North American Automotive Industry: strategies and Techniques to Reduce Hours-perVehicle. Int. J.Prod. Perform. Manag. 65 (8). Almström, P., Kinnander, A., 2011. The Productivity Potential Assessment method: assessing and benchmarking the improvement potential in manufacturing systems at shop floor level. Int. J. Prod. Perform. Manag. 60 (7), 758–770. ©IJRASET: All Rights are Reserved | SJ Impact Factor 7.538 | ISRA Journal Impact Factor 7.894 | 1494