Apr'22


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
Defining and Practicing Organizational Agility
50
Key Implications of Product Design and Innovation on User Experience
50
Leveraging on Artificial Intelligence to Accelerate Sustainable Bioeconomy
50
Measuring Growth, Development and Progress
50
Similarity Search Algorithms in Knowledge Management Systems: A Review
50
       
Contents : (Apr'22)

Defining and Practicing Organizational Agility
Tulsee Giri Goswami and Mansi

This study intends to decode the concept of agility and its different dimensions: organizational agility, workforce agility, leadership agility, and strategic agility. For this purpose, it uses a conceptual approach, and the data for the study has been collected from different databases such as Emerald Insights, SAGE Publications, Wiley Online Library, Inder Science Publishers, etc. The study describes the various characteristics and practices followed by agile organizations. It concludes with a process that defines: how organizations can create an agile environment. The managerial implications for the firms and institutions are a thorough understanding of how agility affects the organization and what steps it should follow in this regard.


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Article Price : Rs.50

Key Implications of Product Design and Innovation on User Experience
Fauzia Jamal and Vibha Kapoor

In a highly competitive and uncertain business environment, product developers face a few pertinent and intricate questions: Which products to develop? How do we approach design to optimize user experience? What role does innovation play in optimizing the user experience? A plethora of design perspectives, from participatory design to lead user approach, have been proposed by scholars. This paper reviews design and innovation approaches and perspectives and how they uniquely affect or influence the user experience. The fundamental relationships articulated concerning the impact of user experience on product development form a conceptual framework for product design and development approach. For practitioners, the paper suggests how user experience-driven design can improve product development through its more grounded and comprehensive approach, along with the elevated appreciation of design challenges and a heightened sense of possibilities for product development. The paper further intends to explore and identify how design and innovations influence user experience in the fashion industry.


© 2022 IUP. All Rights Reserved.

Article Price : Rs.50

Leveraging on Artificial Intelligence to Accelerate Sustainable Bioeconomy
Wilson Nwankwo, Chukwuemeka Pascal Nwankwo and Adigwe Wilfred

Sustainable Development (SD) has remained a major discourse in the political and academic circles for over a decade. According to the United Nations, SD is defined by 17 measurable goals which could be used to evaluate a nation’s achievements. Lately, the concept of bioeconomy has emerged as a strategic direction for economic prosperity among the comity of nations amid the devastating effects of the Covid-19 pandemic. It is argued that bioeconomy has the ultimate potential of actualizing the SD goals. Consequent upon such prospects, this paper seeks to establish a nexus between the pervasive knowledge-driven technologies of Artificial Intelligence (AI) and the development and sustenance of a vibrant bioeconomy. It adopts a systematic review with a prime focus on how AI integrates and drives biotechnological processes towards sustainable production particularly in the area of food security. This paper further identifies the lapses in the integration and adoption processes and makes a case for interdisciplinary collaboration among professional societies who are the major players in the academia and the industry, as well as the government’s contribution towards the review and implementation of appropriate public-private partnership programs to drive AI-driven biotech projects at the grassroots.


© 2022 IUP. All Rights Reserved.

Article Price : Rs.50

Measuring Growth, Development and Progress
Magdolna Csath

We live in a rapidly changing, uncertain environment. The political and economic strength of countries and regions is changing based on their capabilities to become more resilient, future-oriented and knowledge-based. In this environment, basic economic indicators like growth measured by Gross Domestic Product (GDP) or Gross Fixed Capital Formation (GFCF) do not measure future readiness, resilience to change, or development in general, as they are based on past decisions. This paper argues that in order to be able to successfully adapt to the changing environment, economic and social achievements have to be measured not by growth indicators, but by development ones, which highlight real progress and convergence. Among them, intangible asset and intangible investment indicators are especially crucial, as they measure the real health of the economy and society. The key competitive factor on which progress will be based is human capital with good health, knowledge and skills. The paper proves that countries with excellent growth results lag behind in terms of development achievements, measured by the mentioned intangibles. This discrepancy may lead to a dangerous development trap situation. The paper uses statistical data of different countries to prove its suggestions.


© 2022 IUP. All Rights Reserved.

Article Price : Rs.50

Similarity Search Algorithms in Knowledge Management Systems: A Review
Sumiran Naman, Sekhar Vadari and P H Anantha Desik

The similarity search algorithm plays a major role in text-based Knowledge Management (KM) systems for information retrieval, search, and acquisition. The KM systems in business application domains are mainly required to use the existing history of the application knowledge for information retrieval and for the search to be faster and results to be accurate. Typically, KM systems generate information from internal sources, and therefore require greater accuracy and faster response times. There are already many models available in the Natural Language Processing (NLP) and Deep Learning (DL) arena which support similarity search. The DL models, though are very accurate, require a lot of memory and a lot of data, and are yet slower compared to the NLP methods. This paper primarily discusses a few text-based search and similarity methods, proposes three methods which are different in nature but faster and accurate when applied to KM system of business applications. A comparison of these techniques in terms of accuracy and speed on given datasets with examples is presented.


© 2022 IUP. All Rights Reserved.

Article Price : Rs.50