Abstract
Knowledge management (KM) creates value and competitive advantage via innovation. Library and information science (LIS) developed KM using social epistemology and varied scientific methods. LIS continued to study KM to guarantee its understanding and usage in the organization. KM attitudes and actions must also be agreed upon. This chapter discusses the LIS viewpoint on KM and delivers the fundamental point, which implies that LIS may advance knowledge management. Thus, readers should ask questions about LIS and all of the preceding advances, especially KM. The perception of data, information, and knowledge especially has changed significantly. LIS perspective should be dynamic, and librarianship has individuality and dignity with knowledge managing tradition. LIS and Librarianship roles, especially KM, may help drive these new advancements. Instead of only watching or ignoring improvements, active engagement and additional research are expected to raise LIS roles on KM.
TopBackground
Knowledge management (KM) entails leveraging the collective knowledge possessed by all personnel to attain the specific objectives of a firm or organization effectively. The aim of KM is not to oversee the entirety of knowledge but rather to focus on the knowledge that is fundamental and significant for the company (Milton & Lambe, 2019). The primary objective is to ensure employees get the requisite knowledge at the appropriate time and location. The adage frequently posited is that possessing the proper knowledge, situated in the appropriate location, and occurring at the appropriate moment is paramount.
Key Terms in this Chapter
Academic Discipline: This refers to a specialized field of knowledge that is both taught and studied within the context of higher education institutions, such as colleges and universities.
Information-Seeking Behavior: This refers to the actions taken by individuals who have identified a need for information and then rely on official or informal sources or services to fulfill that need. The outcome of this process may either lead to the successful acquisition of relevant information or fail to do so.
Knowledge Production: This encompasses a range of interconnected activities conducted within the context of a higher education institution, research center, or company, with the primary objective of generating new knowledge.
Information Society: This refers to a societal structure in which the use of electronic information technology predominantly enables the processes of producing, distributing, and consuming products and services.
Dewey Decimal Classification: This is a widely used method for organizing general information, which undergoes regular revisions in order to remain up-to-date with the expanding body of knowledge. The method was established by Melvil Dewey in the year 1873 and afterward made available to the public in 1876.
Tree Classification: This is used to predict the response, specifically in knowledge and information management, which is situated inside the parent node, along with determining the percentage of variables that possess a positive value.
Library and Information Science: This is a multidisciplinary academic discipline that focuses on documenting narratives, collective memory, historical records, and knowledge.
Paradigm Classification: This is structured as a two-dimensional method, like a spreadsheet. The concept being referred to is a component of faceted categorization. The concept of paradigm classification pertains to a specific subset of faceted classification, whereby an object may be categorized based on two distinct dimensions.
Librarianship: This encompasses the activities of acquiring, classifying, conserving, and distributing information to those with a demonstrated need for it.
Hierarchical Classification: This is a systematic approach to categorizing entities based on a hierarchical structure, whereby several levels and orders are used for grouping purposes.
Information Retrieval: This refers to the systematic procedure of seeking and acquiring relevant information from a given dataset.
Faceted Classifications: These organize knowledge; they combine generic or subject-specific semantic categories to form the whole classification item. Numerous library categorization systems combine a predefined, enumerative taxonomy of ideas with subordinate aspects that define the subject.