Knowledge Management and its importance for IoT

 What is Knowledge management?

Knowledge management refers to a series of structured and disciplined steps that a company should take to get the most benefit out of the knowledge it has on hand. In this sense, "knowledge" refers to both the people's experience and understanding as well as the information artifacts, such as records and studies, that are accessible both within the organization and in the outside world. In certain situations, effective knowledge management necessitates a combination of organizational, social, and managerial interventions, as well as the implementation of appropriate technology. (Marwick, 2001)


Knowledge Accessibility:
 
There's the issue of knowledge access. Accessibility is divided into two groups by Nonaka and Takeuchi: tacit and explicit. Yet, according to several texts, there are three levels of accessibility: tacit, implicit, and explicit. Storage media can be mapped to accessibility. As knowledge becomes more available and formalized, its value rises. (Anand and Singh, 2011)

Tacit - Information that cannot be shared is referred to as tacit knowledge. "We know more than we can say," said Michael Polanyi, the chemist-turned-philosopher who coined the word. Polanyi used the example of being able to remember a person's face but only have a hazy understanding of how it is accomplished. This is an example of pattern recognition in action. The entire, or gestalt, is what we know, and breaking it down into its constituent elements in order to express them fails to capture its meaning. Other cases in which we are able to work well but unable to explain precisely what we know or how we put it into effect include reading a customer's response or entering text at a high rate of speed using a word processor. The knowing is in the doing in such situations, a point to which we will return shortly. (Anand and Singh, 2011)

 

Implicit - Information that cannot be articulated is referred to as implicit knowledge. Its presence is inferred or implied by observed behavior or results. This is the kind of information that a job analyst, knowledge engineer, or other individual skilled in recognizing knowledge that can be communicated but hasn't can sometimes coax out of a competent performer. When examining the role of processing applications by underwriters at a business, for example, it became apparent that the range of outcomes for the underwriters' work took three basic forms: They have three options: (1) accept the application, (2) refuse it, or (3) reject it (3). They could make a counteroffer. And, at the start of the study, none of the underwriters mentioned these as limitations on their work. It was relatively easy to define the parameters used to assess the answer to a given application once these outcomes were known. Implicit knowledge became explicit knowledge as a result of this process. (Anand and Singh, 2011)

 

Explicit - Explicit knowledge is the knowledge that has been conveyed and captured in the form of text, tables, diagrams, product descriptions, and so on, as the term implies. "The Knowledge-Creating company," a Harvard Business Review post. Explicit information, according to Ikujiro Nonaka, is "formal and systematic," citing product specifications, scientific formulas, and computer programs as examples. The formula for finding the region of a rectangle is an example of explicit information that we are all familiar with. Recorded best practices, the formalized criteria on which a claim is adjudicated, and the official guidelines for success set out in written job goals are all examples of clear information. (Anand and Singh, 2011)

 

Knowledge management systems in the IoT context

The Internet of Things (IoT) is a collection of disruptive technologies that affect people's and businesses' everyday lives. In reality, modern businesses are rapidly developing and introducing disruptive ICTs in a variety of business processes in order to boost productivity and innovation by using new knowledge flow and data/information collection methods. As a result, advanced ICTs will significantly aid information management. KMS is primarily based on ITCs, as both knowledge management and information system literature points out, since innovative ITCs (such as the internet, intranets, extranets, data warehouses, data mining techniques, and software agents) can be used to systematize knowledge. KMS stands for knowledge management systems, which are information systems used to manage organizational knowledge and enhance the development, storage, transfer, and implementation of knowledge.  A KMS may thus be considered a knowledge management enabler from a knowledge-based perspective, since it enables individuals' knowledge to be captured and disseminated within the organization. (Santoro et al., 2018)

By Saquib Hussain


Key Words - Knowledge Management, Value of Knowledge Management, IoT, Internet of things


Bibliography - 

Anand, A. and Singh, M. D. (2011) ‘Understanding Knowledge Management: a literature review’, International Journal of Engineering Science and Technology, 3(2), p. 14.

Marwick, A. D. (2001) ‘Knowledge management technology’, IBM Systems Journal, 40(4), pp. 814–830. doi: 10.1147/sj.404.0814.

Santoro, G. et al. (2018) ‘The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity’, Technological Forecasting and Social Change, 136, pp. 347–354. doi: 10.1016/j.techfore.2017.02.034.