The Electronic Journal of Knowledge Management publishes original articles on topics relevant to studying, implementing, measuring and managing knowledge management and intellectual capital.

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Journal Article

Knowledge use and Sharing into a Medical Community of Practice; the Role of Virtual Agents (Knowbots)  pp64-81

Virginia Maracine, Luca Iandoli, Emil Scarlat, Adriana Sarah Nica

© Jan 2012 Volume 10 Issue 1, ECKM 2011, Editor: Franz Lehner, pp1 - 109

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Abstract

Knowledge‑oriented organizations are bricks for the knowledge‑based society construction. Building knowledge‑based society and economy suppose challenging transition processes from the classical structure of an organization to new organizational forms that help to fill the gap between actual society and the future knowledge‑based society and economy. This transition generates new issues in knowledge creation and sharing processes, related to the particularities of the new organizational forms. Therefore, in the last few years, our researches are oriented to developing and testing a number of forms of organization designed to facilitate an efficient and effective transition toward the knowledge‑based society, like communities of practice, (virtual) networks of professionals or knowledge ecosystems (KE). Under this general frame, this paper presents the results of our research aiming to capture the necessary changes that a medical organization specialized in rehabilitation (the National Institute of Rehabilitation and Physical Medicine from Bucharest, Romania ‑ INRMFB) has to undertake for converting its classical structure into a new knowledge‑oriented one, possible and easily to being integrated into a Virtual Network for Home Health Rehabilitation of the impaired people – the meta goal of our research in recent years. Specifically, within its five sections, the paper outlines: 1. An introduction in the macro and micro‑level empirical setting in which the study is carried out; 2. The methodological approach based on Social Network Analysis (SNA). Although quit often used in the medical field, as we will see in the second section of the paper, the SNA methods and models aren’t used yet in the particular area of health rehabilitation; 3. The objectives of the empirical study that can be summarized as follows: Mapping of the knowledge flows & needs in the target community of practice. The aim of this step is to produce an accurate picture of the knowledge flows that the target community identified at the INRMFB actually enacts in the accomplishment of its organizational objectives. Analysis & Diagnosis: Identification of critical aspects and areas of improvements (e.g. knowledge needs, knowledge bottlenecks, structural determinants of inefficiency or of poor performance). Design: definition of the functional specifications for redesigning the agents, network and of the functionalities of Knowbots. 4. The survey we have designed for data collection. According with the particularities of the macro and micro‑level in which our study is carried out, we have designed a survey that will help us both for diagnosing the knowledge‑sharing‑structure of INRMFB, and for finding adequate solutions for potential critical aspects identified in this medical facility.; 5. A set of conclusions and recommendations for the new knowledge‑oriented organizational structure to be created within the INRMFB. Alongside with performing SNA in the health rehabilitation field, an important output of our study is to find answer to the following questions: Cans the classical organizational structure of the INRMFB be transformed into a knowledge‑based one, by reengineering the knowledge flows and agent’s roles? If and where within the actual structure a virtual knowledge agent (knowbot) can and should be integrated? Our paper is a consequent continuation of our work in the KE area, contributing to the completion of an integrate vision over the role of the KM techniques, human and virtual agents in the emerging of knowledge‑based society. It presents a work still in progress, the final results of our study going to be presented within the ECKM2011 conference.

 

Keywords: community of practice, healthcare knowledge ecosystems, social network analysis, knowledge agent, Knowbot, collective learning, knowledge-based organization.

 

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Journal Article

New Insights for Relational Capital  pp13-28

Kaisa Still, Jukka Huhtamäki, Martha G. Russell

© Jun 2015 Volume 13 Issue 1, Editor: Meliha Handzic and John Dumay, pp1 - 100

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Abstract

Abstract: In this paper, we concentrate on relational capital, manifestation of the old adage ⠀it is not what you know but who you know⠀. We propose that in this networked world, the importance of relationships between multiple stakeholders created by key personnel and financing becomes fundamental, and hence understanding and measuring those becomes fundamental, too. Accordingly, we highlight that there is a need to go beyond social, individual or personal relationships and organizational context, as well as beyond the limitations of the dyadic (one actor to one actor) view on relationships. Hence, we are introducing the ecosystem as the context for measuring relational capital. This paper builds on a construct of ecosystemic relational capital, cr eated for understanding and measuring the importance of relationships in the context of ecosystems. It looks at the totality of relationships both at organizational level and at individual level, measuring the structures and characteristics related to ind ividuals, organizations as well as the ecosystem as a whole (Still et al. 2014a). We acknowledge that the initial framework emphasizes the ⠜networking capabilities⠀ element of relational capital, with less attention to the element of ⠜customer loy alty and reputation⠀, which is the motivation for building on the construct. The processes of ecosystemic relational capital are already seen to be built on the possibilities afforded by the volumes of digital data, mostly from social media, providing d etails on the relationships between various actors related to various regions, sectors, technologies and products. However, we propose enhancing the holistic integration for better understanding and measuring of relational capital with the application of methods of social network analysis (SNA), network visualizations and social media analytics. In this paper, we present concrete examples of the enhanced framework. At the same time, we acknowledge that there are many other avenues for obtaining novel in sights for relational capital with these analytics

 

Keywords: innovation ecosystems, relational capital, social capital, visual ecosystem analytics, social network analysis, social media analytics, innovation indicators

 

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Journal Article

Value Creation Through Collective Intelligence: Managing Intellectual Capital  pp68-79

Silvia Iacuzzi, Maurizio Massaro, Andrea Garlatti

© Jan 2020 Volume 18 Issue 1, Editor: Ettore Bolisani, pp1 - 90

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Abstract

The contribution of intellectual capital to value creation beyond individual companies into wider society, as described in the fourth stage of intellectual capital research, is of particular relevance for the public sector where organizations have a stewardship responsibility. They should engage stakeholders into value co‑creation by developing organizational and ecosystem collective intelligence through traditional as well as innovative tools such as online technologies. Yet, the relationship between intellectual capital and value creation often remains a relatively unexplored process within public administration. This paper focuses on the case study of a regional agency in Friuli Venezia Giulia, Italy, which is not only responsible for assistance, regulation and service delivery, but also for engaging its stakeholders and the public at large to disseminate knowledge to promote values and appropriate behaviour in the policy areas it is responsible for. The research looks at the role played by intellectual capital in the agency’s value creation strategies and how the agency’s structure and processes influence the development and management of intellectual capital in an effort to create value for its ecosystem. The research not only validates the existence of ecosystem frameworks in public administration and the key role played by intellectual capital in their design, creation and implementation, but it also highlights the need in the public sector for a defined role for intellectual capital, stakeholder engagement and collective intelligence in governance models. In particular, findings underline the need for new intellectual capital management systems based on a collective intelligence approach within multi‑stakeholder co‑creation frameworks in a public service ecosystem logic, reflecting the public sector’s evolving role and the new tools developed with the advent of new technologies.

 

Keywords: ecosystems, public sector, public value, stakeholders, value co-creation, social media

 

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