April'21


The IUP Journal of Knowledge Management

ISSN: 0972-9216

A 'peer reviewed' journal indexed on Cabell's Directory, and also distributed by EBSCO and Proquest Database

It is a quarterly journal that focuses on Product knowledge, Services knowledge, Process knowledge, Customer knowledge and Knowledge assets; Developing appropriate culture for knowledge management; Integrating learning and knowledge infrastructure; Linking knowledge management to performance; IT tools for developing knowledge management; Policy initiatives and Strategy for better knowledge management.

Privileged access to Online edition for Subscribers.

Focus Areas
  • Product Knowledge
  • Services Knowledge
  • Process Knowledge
  • Customer Knowledge
  • Knowledge Assets
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Article   Price (₹) Buy
The Role of AI/ML in Enhancing Knowledge Management Systems
50
A Practitioner's Note on Technology Intermediated Student Engagement: A Use-Case from the Trenches
50
E-Readiness Dimensions for a Consolidated Strategic E-Governance Implementation: The MDA Perspective
50
       
Contents : (April'21)

The Role of AI/ML in Enhancing Knowledge Management Systems
Sekhar Vadari and P H Anantha Desik

Artificial Intelligence (AI)/Machine Learning (ML) can play a significant, meaningful, and considerable role in enriching and strengthening the Knowledge Management (KM) systems. A good number of studies have been done to explore the connection between AI/ML and KM systems. But these studies focused more on definitive techniques and the impact of a few AI/ML algorithms, neglecting the role of others and how it may impinge on the KM system in order to reach a set of organizational goals, which diminishes the KM adoption in some organizations. This study depicts the relationship between AI/ML and KM systems from a point of view that offers choices to apply AI/ML for organization-wide KM systems to mitigate implementation issues and improve the degree of overall KM systems acceptance in the organizations. The key conclusion of the study is that KM systems can be enhanced considerably with AI/ML; KM processes like knowledge acquisition and knowledge creation can leverage different types of AI/ML algorithms providing a competitive edge for the organizations. The study also finds that most of the previous studies concur on the positive correlation between AI/ML and KM, and discusses the pivotal role AI/ML plays in the overall improvement of the KM systems.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

A Practitioner's Note on Technology Intermediated Student Engagement: A Use-Case from the Trenches
Praveen Bhasa Malla

Covid-19 has disrupted the entire education ecosystem, globally. Newer learning contexts are being drawn, newer pedagogical methods are being designed, new learning outcomes are being sought and newer habits are getting formed. With classrooms migrating to virtual platforms, 'student stickiness' has emerged as a big challenge. Innovative pedagogical models are to be used to create enriching student engagement that in turn can ensure student stickiness. This paper is a practitioner's view from the trenches. It discusses the shortcomings of the Indian pedagogical framework and through a use-case explains how contemporary technology can be deployed to make the teaching-learning engagement fun and enriching. While the use-case is localized to the Indian context, its applicability is universal.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

E-Readiness Dimensions for a Consolidated Strategic E-Governance Implementation: The MDA Perspective
Paschal U Chinedu, Wilson Nwankwo and Etebong B Isong

E-Governance is an evolving paradigm intended to modernize the public sector by engendering transparency, accountability and good governance. Notably, some countries, including South Korea, USA, Singapore and Canada, have recorded appreciable milestones. In developing countries, the experience is quite different. This paper dwells on the e-readiness of e-governance as an economic and human development engine for effective governance in the 21st century and beyond. This paper articulates some crucial organizational strategies and e-readiness dimensions that would provide vital knowledge and direction towards consolidating e-governance implementation in Nigeria across the Ministries, Departments and Agencies (MDAs). A survey approach was adopted to evaluate the MDAs and their e-governance strategies as in the first quarter of 2020 vis-a-vis the National e-Governance Master Plan (NeGMP). A gap analysis was conducted on the level of the MDAs' preparedness in implementing the NeGMP. The e-readiness evaluation results showed some gray areas that need strategic and tactical attention. With these findings, the decision makers in the e-governance project can direct efforts to areas where external support is anticipated. The study further elucidated the various measurable pillars, criteria, performance indices and apt theoretical submission to guide the implementation of e-governance plan across the MDAs.


© 2020 IUP. All Rights Reserved.

Article Price : Rs.50

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