Factors effecting eProcurement performance in Indian scenario Dr

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Factors effecting eProcurement performance in Indian scenario Dr Factors effecting eProcurement performance in Indian scenario Dr. Kalyan Kr. Bhattacharjee Indian Institute of Technology Delhi

On-line Questionnaire based Survey was conducted to measure the usefulness and acceptance of the application Survey : Google Form Email : 800 users Total Responses received : 310 Usable responses : 293 Analysis : SPSS (version 20)

Descriptive Summary of respondents User_Group Specialization Tot Turnover Govt PUC Private Munic Univ Manuf Service IT Educ Legal   < 50 lakhs 17 4 1 5 28 3 40 50-100 Lakhs 19 22 7 2 47 1-5 crore 24 39 32 25 8 68 5-10 Crore 10 6 30 13 26 46 > 10 Crore 9 54 48 23 92 Total 89 27 162 117 121 35 15 293

Overall Cronbach's Alpha (reliability) : .885 Basic statistical position of all variables under the study  Attributes N Mean Std. Div Skewness Kurtosis Cron Alpha Cost_Saving 293 1.74 .820 1.413 2.800 .883 Competitiveness 292 1.90 .914 1.196 1.595 .882 Transparency 287 1.87 .941 1.190 1.239 .881 No Data Tampering 288 2.05 .934 .724 -.017 .880 High Success Rate 290 2.32 .962 .767 .399 TimeSaving 1.92 1.051 1.139 .451 .878 Reduces_Cycle_Time 2.20 .723 .254 Location_independent 1.57 .752 1.776 4.562 Reduces_Bidding_Errors 2.10 .940 .870 .434 No Unauthorized View 2.03 .802 .761 .702 .879 Remote_Bid_Opening .789 .957 1.459 Capturing_bidders_potential 284 2.00 .804 .938 1.328 Bid_submission_convenience 1.96 .856 1.510 3.325 Bids Preparation Utility 285 1.89 1.016 1.724 Amendment_of_Bids 1.82 .700 .814 1.597 Overall Cronbach's Alpha (reliability) : .885

Graphical presentation of Users responses

Rotated Component Matrixa Component 1 2 3 4   Component 1 2 3 4 Competitiveness .729 Transparency .685 High Success Rate .653 F_Efficiency Cost_Saving .644 Reduces_Cycle_Time .596 Tech_Eval_viewability .763 Fin_eval_viewability .761 F_Transparency Capturing_bidders_potential .499 No Data Tampering .765 No Unauthorized View .732 Remote_Bid_Opening .601 F_Agility Location_independent .530 Bids Preparation Utility .486 Help Desk Support .883 Email_Support .875 F_Flexibility Digital_certificate_registration .633 Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 6 iterations.

Graphical presentation of the inter-relationship between the factors and other variables. Transparency Factor Agility Factor Flexibility Factor Efficiency Factor Competitiveness Transparency Bidders Potential Remote Bid Opening Cycle Time Financial Viewability Technical Viewability Data Security Unauthorized View Location Independence Utility for Bids Preparation Digital Certificate Registration E-mail Support Help Desk Support .470 .344 .291 .455 .364 .149 .075 .202 .382 .422 .130 .112 .089 .510 .391 .356 -.185 -.108

Reduction of Purchase Cycle time (from 2013 to 2016) year Processing Time   2006 244.59 2007 261.51 2008 267.96 2009 296.94 2010 308.01 2011 307.60 2012 327.83 2013 256.29 2014 213.76 2015 197.45 2016 123.96

Growth of RTI applications in different Public Authorities of Govt Growth of RTI applications in different Public Authorities of Govt. of India (Source: CIC Annual Report 2015-16, Table 2.4)

Processing of RTI Applications at IIT Delhi

Conclusions Four factors have influencing e-procurement practice in Indian context has been identified. Brings high level of satisfaction in terms of cost saving, flexibility and agility. Overall purchase-cycle time has reduced. IIT Delhi’s initiative to go for E-procurement helped the institute to march towards transparency and efficiency. There has been a decline in RTI applications at IIT Delhi for the last three years.

For IIT Delhi, it is a case of successful migration Dr. Kalyan Bhattacharjee Indian Institute of Technology Delhi kalyan@admin.iitd.ac.in Mobile No. 09810152691