Course Name: Knowledge Management

Course abstract

This course addresses contemporary issues in managing knowledge, intellectual capital and other intangible assets by discussing the fundamental concepts of knowledge and its creation, acquisition, representation, dissemination, use and re-use, the role and use of knowledge in organizations and institutions, KM systems and its application in knowledge generation and transfer, and in the representation, organization, and exchange of knowledge, knowledge codification and system development, its testing, KM tools and portals, and finally ethical, managerial and legal issues in knowledge management.


Course Instructor

Media Object

Prof. K B L Srivastava

#N/AProf. Kailash B L Srivastava is Professor, Department of Humanities and Social Sciences and Joint Professor in Vinod Gupta School Management, and specializes in the area of Human Resource Management and Development and Organizational Behaviour at Indian Institute of Technology, Kharagpur. He holds a first class Master’s degree in Psychology from Gorakhpur University and Ph.D. from Indian Institute of Technology, Kanpur, and has around 25 years of teaching, research, and training experience. He has taught earlier at BITS Pilani, and T A Pai Management Institute, Manipal, and also served as visiting faculty in XLRI, Jamshedpur (2002), and Asian Institute of Technology, Bangkok (2005), and UNU Tokyo (2013). He has published over 45 papers in national and international journals and contributed 25 chapters in edited books. He has attended many national and international conferences, including IIRA in Berlin, ICP 2008 at Berlin, and Personality at work in Lunenburg, Germany ICP 2012 at Cape Town, SA and Yokohama in 2016. He has carried out a number of sponsored research and consultancy projects. He has supervised 14 Ph.D. theses in the area of Human Resource Development, Knowledge management, HR Issues in Mergers / Acquisitions, Emotional Intelligence, and Learning Organization. He is also a member of the editorial board of many national and international journals. He has conducted many management development programmes in areas of behavioural/ soft skills and human resource management and development, KM and innovation in learning organization, performance management, and research methodology. He is a board member of the Academy of International business (India chapter), and President of the National Academy of Psychology, India for 2016-17. His current consulting and research expertise are in the area of Strategic Human Resource Management, OD and change management, Organizational Culture, Leadership, Emotional Intelligence, and Knowledge Management, Psychology of well-being, and corporate affairs.
More info

Teaching Assistant(s)

Karishma Trivedi

P.hD

KALYANI NAYAK

P.hD

 Course Duration : Jul-Sep 2019

  View Course

 Enrollment : 15-May-2019 to 05-Aug-2019

 Exam registration : 01-Jun-2019 to 26-Aug-2019

 Exam Date : 29-Sep-2019

Enrolled

1724

Registered

351

Certificate Eligible

95

Certified Category Count

Gold

0

Silver

0

Elite

30

Successfully completed

65

Participation

218

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment score
Knowledge Management - Toppers list

RITU SINHA 71%

M S RAMAIAH INSTITUTE OF TECHNOLOGY

SAMRIDHI SAREEN 70%

VIT UNIVERSITY-VELLORE

PRANAV HEGDE 69%

M S RAMAIAH INSTITUTE OF TECHNOLOGY

KALIPADA ADHIKARY 67%

NLC INDIA LIMITED,NEYVELI

VRISHANK SRIVASTAVA 66%

VIT UNIVERSITY-VELLORE

NOORA 66%

SRI RAMACHANDRA INSTITUTE OF HIGHER EDUCATION AND RESEARCH (DU)

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 351

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.