A computer prototype to support knowledge audits in organizations

Abstract

A knowledge audit is a process whose purpose is to diagnose the situation in which knowledge is kept within an organization, that is, it allows to know what knowledge exists, who has it, where it is, how it moves and how it is managed. The aim of this paper is to present the implementation of an ontology as a support to knowledge audit process through a computer prototype. A case study in an organization is developed, in which the knowledge audit process is supported by the prototype. Among the advantages it offers: facilitates obtaining knowledge inventory, classifying and valuing knowledge assets and flows, identifying knowledge gaps, knowledge management analysis and reusing the audit's results.

An integrated learning framework of corporate training system: a grounded theory approach

“…Accordingly, the second mechanism is oriented towards the spread of a TQ philosophy at a socio-economic level. Quality philosophy involves, in an integrated manner, new models of leadership and conflict management and the valorization of needs beyond subsistence and security: launching a virtuous process of human capital development in the logic of quality means designing a learning system that goes beyond firms’ as mechanical systems and overcomes the “internal–external environment” dichotomy (Perez-Soltero et al ., 2019). From a continuous improvement perspective – the cornerstone of the TQ philosophy – this allows policymakers to trace virtuous and iterative circles that, starting from the development of new competences and capabilities, end with the generation of new policies with a direct impact on socio-economic well-being.…”

“…This is a transfer modality oriented towards learning by doing (Anzai and Simon, 1979;Grandinetti and Di Bernardo, 2012); education, on the other hand, relates to the strong transformation of human capital and aims at developing transversal capabilities, necessary to govern uncertainty and generate new knowledge through the creativity of the human resources involved, in a logic of learning by interacting (Surdu et al, 2021). As mentioned, however, these logics are not dichotomous: knowledge-based capitalism, characterized by processes of increasing hybridization between sectors and technological trajectories, requires economies of flexibility, creativity and knowledge integration (Grant, 1996;Salunke et al, 2019) where discontinuity, serendipity, lateral and analogical thinking become central nodes for generating new knowledge both at the process/product/service level and at the strategic/organizational/social level (Perez-Soltero et al, 2019). Therefore, it is necessary to develop a new shade of learning that includes vertical competencies but also (and above all) horizontal capabilities for drawing on and hybridizing distant disciplines and understanding languages and cognitive frames of heterogeneous extraction.…”

“…As mentioned, however, these logics are not dichotomous: knowledge-based capitalism, characterized by processes of increasing hybridization between sectors and technological trajectories, requires economies of flexibility, creativity and knowledge integration (Grant, 1996; Salunke et al ., 2019) where discontinuity, serendipity, lateral and analogical thinking become central nodes for generating new knowledge both at the process/product/service level and at the strategic/organizational/social level (Perez-Soltero et al ., 2019). Therefore, it is necessary to develop a new shade of learning that includes vertical competencies but also (and above all) horizontal capabilities for drawing on and hybridizing distant disciplines and understanding languages and cognitive frames of heterogeneous extraction.…”

A knowledge audit model for requirement elicitation: A case study to assess knowledge in requirement elicitation

“…The subjective approach used in existing KA models asks the respondents to rate on the knowledge of the knowledge sources based on criteria such as importance, complexity, credibility, and response time on a scale from 1 to 5 (Choy et al, ). The same method is again exploited to assess the detail level, update level, and the frequency of knowledge usage (Perez‐Soltero, Barcelo‐Valenzuela, Sanchez‐Schmitz, & Rodriguez‐Elias, ). However, this method can be prone to error because of its subjective nature.…”

A Knowledge Flow Model to Capture Unstructured Product Development Processes

“…Perez‐Soltero et al . () demonstrate PROTO‐KA, a computer tool that proposes an ontology to represent data obtained from a knowledge audit. Ontology elements include: agents (persons, systems and documents), agent‐flow, knowledge, processes and process value.…”