Apr'22
Welcome to the IUP Journal of Knowledge Management
Focus
New and innovative designs and features of any good or service attract the attention of customers to acquire and use them. By producing such new and innovative products, the firms can maintain their competitive advantage. The usage experience and perception of customers would be valuable inputs to the organizations to assess the value and significance of the product design and innovation. Fauzia Jamal and Vibha Kapoor, in their paper, �Key Implications of Product Design and Innovation on User Experience�, have reviewed various approaches of design and innovation. They have identified and evaluated the effects of design and innovation on user experience in the fashion industry.
According to McCormick and Kautto (2013), bioeconomy is an economy where the basic blocks for materials, chemicals, and energy are derived from renewable biological resources. It is treated as an alternative to promote sustainable development by building a bridge between renewable resources and biotechnology, and also between their uses. In the paper, �Leveraging on Artificial Intelligence to Accelerate Sustainable Bioeconomy�, Wilson Nwankwo, Chukwuemeka Pascal Nwankwo and Adigwe Wilfred have examined the integration and drive of Artificial Intelligence (AI) in the promotion of biotechnological processes, including biotechnological interventions directed towards sustainable production, in the context of food security in Nigeria. By enunciating several applications of AI, the authors have highlighted the significance of AI for bioeconomy policy and strategy. They have also reported the importance of various contributing factors like political will, continued advocacy, and collaboration among different specialists, agencies, ministries, departments, and public and private partnerships to harness AI and Bioeconomy.
There are several kinds of indicators like quality of life in different ways, human capital, productivity and employment, economic welfare and social security that can be used to measure the progress of a country. In the paper, �Measuring Growth, Development and Progress�, Magdolna Csath has stressed the dominance of development indicators over the growth indicators in measuring the economic and social achievements of a country. With the help of statistical data of different European and Asian countries and literature support, the author has chosen a few important approaches to measure the performance of those countries, and later identified the most appropriate indicators for measurement. While presenting the future scope of research, the author has expressed the intention to develop a mathematical model based on the refined set of chosen development indicators in order to describe the status of those countries.
With the advancement of Internet capabilities, enormous data created by a huge number of sources has been flowing dynamically on a continuous basis. To identify and retrieve information and document, several similarity search methods are being developed. Sumiran Naman, Sekhar Vadari and P H Anantha Desik, in their paper, �Similarity Search Algorithms in Knowledge Management Systems: A Review�, have reviewed and compared three different techniques�Cosine Similarity, Symmetric Semantic Similarity, and Smooth inverse Frequency (SiF). They have applied those techniques on a knowledge management dataset of a real-time business application to test the accuracy and speed of each technique. Based on their analysis, the authors have reported that the Cosine and SiF techniques exhibited very high performance when compared to the semantic similarity technique.
Consulting Editor
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| Article | Price (₹) | ||
| Defining and Practicing Organizational Agility |
100
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| Key Implications of Product Design and Innovation on User Experience |
100
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| Leveraging on Artificial Intelligence to Accelerate Sustainable Bioeconomy |
100
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| Measuring Growth, Development and Progress |
100
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| Similarity Search Algorithms in Knowledge Management Systems: A Review |
100
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Defining and Practicing Organizational Agility
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.
Key Implications of Product Design and Innovation on User Experience
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.
Leveraging on Artificial Intelligence to Accelerate Sustainable Bioeconomy
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.
Measuring Growth, Development and Progress
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.
Similarity Search Algorithms in Knowledge Management Systems: A Review
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.