Visualisation of the organisation knowledge structure evolution

Abstract

Purpose -The paper aims to provide a methodology by which organisational knowledge can be extracted and visualised dynamically over time, providing a glimpse into the knowledge evolution processes that occur within organisations.Design/methodology/approach -Recursive analysis of email interactions is offered as a case to account for the knowledge structure evolution related to the different programs of international non-governmental organization (INGO). Several methods are used: analysis of the network expansion to see whether the process is random or uniform is performed, visualisation of the network configuration changes throughout studied time period; and the statistical examination of network formation.Findings -The results of the presented study indicate that content structure of electronic knowledge networks exhibits hierarchical and centralised tendencies. The social network analysis results suggest that INGO exhibits non-hierarchical and decentralized structure of the individuals contributing to the discussion lists.Research limitations/implications -By providing the means to carry out network evolution analysis of content structure dynamics and social interactions, the presented work provides a means for probabilistically modelling patterns of organisational knowledge evolution.Practical implications -The approach allows the exploration of the dynamics of tacit to explicit knowledge, from individual to the group and from informal groups to the whole organisation.Originality/value -By displaying the large collection of the key phrases that reflected the evolution of the organisational knowledge structure over the time, organisational emails are placed in meaningful context explaining the language of the organisation and context of knowledge structure evolution.

Design process robustness: a bipartite network analysis reveals the central importance of people

“…Organisational networks have been studied in the fields of social science and management (Granovetter 1973; Krackhardt & Hanson 1993; Wasserman & Faust 1994; Burt 2009; Štorga, Mostashari & Stanković 2013) to show how the informal network, as opposed to formal organisational hierarchy, determines roles, work, coordination, and to show how people can use structural holes to act as social brokers . Consequently, organisational networks have been adopted to redesign the organisational structure to enhance communication, plan the arrangement of new offices to better support interpersonal communication, analyse stakeholders’ influence, and so forth (Allen 1977; Eppinger & Browning 2012).…”

Determining the Life Cycle Phase of a Technology Based on Patent Data

“…The second quantitative analysis applies the growth analysis [26] on a patent map generated by using citation data. While citation data has been used to determine the life cycle stage of a technology, it was generally based on examining the number of forward and backward citations and how they change over time [11].…”

A Conceptual Knowledge Visualisation Framework for Transfer of Knowledge: An Organisational Context

“…The role of organisational learning includes the development of cross-boundary knowledge and requires new approaches to knowledge generation and transmission as employees are required to apply knowledge in-and outside of work structures [18,19].…”

“…Process of transferring knowledge from one part of the organisation to another by organising, creating, capturing or distributing knowledge and ensuring its availability for future users [16,18,20,44] Visual integrity The knowledge visualisation should not distort the underlying knowledge or create a false impression or interpretation of that knowledge [30][31][32]38]…”