Renu Vashisth

Banarsidas Chandiwala Institute of Professional Studies

Assistant Professor-IT

Sector-11, Dwarka

New Delhi, 110033

India

http://www.bcips.ac.in/index.php?option=com_content&view=article&id=83&Itemid=145

SCHOLARLY PAPERS

4

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SSRN CITATIONS

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Scholarly Papers (4)

1.

Factors Influencing Knowledge Management in Indian B-Schools: An Empirical Evidence

The IUP Journal of Knowledge Management, Vol. XI, No. 2, April 2013, pp. 19-45
Posted: 06 May 2013
Renu Vashisth and Anil Mehta
Banarsidas Chandiwala Institute of Professional Studies and University of Rajasthan

Abstract:

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2.

Achieving Competitive Advantage Through Knowledge Management and Innovation: Empirical Evidences from the Indian IT Sector

The IUP Journal of Knowledge Management, Vol. IX, No. 2, pp. 7-26, April 2011
Posted: 06 Jan 2012
Neeru Mundra, Karishma Gulati and Renu Vashisth
Banarsidas Chandiwala Institute of Professional Studies, affiliation not provided to SSRN and Banarsidas Chandiwala Institute of Professional Studies

Abstract:

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knowledge management (KM), innovation plot, competitive advantage, k-commerce (Knowledge Commerce), competitive differentiator

3.

Barriers and Facilitators to Knowledge Management: Evidence from Selected Indian Universities

The IUP Journal of Knowledge Management, Vol. VIII, No. 4, pp. 7-24, October 2010
Posted: 05 Jan 2011
Abhijeet Chandra, Renu Vashisth and Ravinder Kumar
Vinod Gupta School of Management, IIT Kharagpur, Banarsidas Chandiwala Institute of Professional Studies and Jamia Millia Islamia, Central University

Abstract:

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Knowledge Management (KM), Barriers, Facilitators, Technology, R&D

4.

Do ANNs Successfully Predict Stock Returns? Testing its Application in Indian Stock Market

The IUP Journal of Computational Mathematics, Vol. III, No. 3, pp. 51-63, September 2010
Posted: 29 Sep 2010
Abhijeet Chandra and Renu Vashisth
Vinod Gupta School of Management, IIT Kharagpur and Banarsidas Chandiwala Institute of Professional Studies

Abstract:

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Artificial Neural Network (ANN), Return forecasting, Multilayer perceptron models