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

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

3. 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
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

4. 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) :

5. Graphical presentation of Users responses

6. 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
_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.

7. 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
Support
Help Desk Support
.470
.344
.291
.455
.364
.149
.075
.202
.382
.422
.130
.112
.089
.510
.391
.356
-.185
-.108

8. 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

9. 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 , Table 2.4)

10. Processing of RTI Applications at IIT Delhi

11. 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.

12. For IIT Delhi, it is a case of successful migration
Dr. Kalyan Bhattacharjee Indian Institute of Technology Delhi Mobile No