A Model to Evaluate the Relational Capital of Organizations (SNARE RCO)

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

2012

Knowledge management systems help organizations to track organizational knowledge such as human, structural or relational capital. The relational capital of organizations tends to include intangible factors and, consequently, it is not always possible to determine this value from traditional business oriented accounting systems. The problem addressed in this research is: how to analyze this capital to achieve a network evaluation metric. Thus, answer the question: "What is the value of your network?". This research has been developed in the SNARE ("Social Network Analysis and Reengineering Environment") project that involves engineering artifacts to extract, analyze and monitor the value of social networks. The SNARE-RCO (short for "Relational Capital of Organizations") model allows us to define and evaluate the relational capital of organizations. it combines techniques derived from social network analysis with aspects of organizational assessment, including also human and structural capital. This paper reviews SNARE-RCO's main elements, which are applied to compute the relational capital value of three social networks, namely:(1) Telecommunications operator; (2) School; and (3) Collaborative social platform.

Section: A Snare-rcomentioning

confidence: 99%

“…The Relational Capital Value (Network RCV) of an organization is computed according the following formula [12]. …”

Section: A Snare-rcomentioning

confidence: 99%

What is the Value of Your Network?

Barão

2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

2012

Section: Snare-rcomentioning

confidence: 99%

“…This demand is fulfilled by its social entities. In this sense, the value of a relation reflects the link between a thing (a good or service) and the social entities that are connected within a given context (Barão & Silva, 2011).…”

Section: Introductionmentioning

confidence: 99%

How to Value and Monitor the Relational Capital of Knowledge-Intensive Organizations

Barão¹,

Advances in Business Information Systems and Analytics

2014

Self Cite

Knowledge management systems are a way to help tracking and keeping organizational knowledge. Typically, organizations value is greater than their tangible assets value. Human, structural, and relational capital is essential knowledge but difficult to evaluate because it tends to be tacit and spread in different organizational elements. The relational capital, as tacit knowledge, is not possible to capture its value as from accounting systems. There is a lack of models to evaluate the relational capital of organizations in a network perspective and this research question is: What is the value of this social network? SNARE (Social Network Analysis and Reengineering Environment) is a framework with engineering artifacts that can answer this question. With the aim of evaluating the relational capital of organizations, the authors develop three SNARE components: (1) SNARE-Language – a descriptive UML-based method that provides a representation of an abstract social network structure able to be extended and applied to organizations; (2) SNARE-RCO – a model to determine the relational capital of organizations; and (3) SNARE-Explorer – based on SNARE-Language, is a tool for social networks visualization able to simulate or use real social network scenarios. It also uses SNARE-RCO model to compute the value of the organizational relational capital. The chapter presents an approach for the measurement of the value of organizations' networks.

“…The system learns from the community so as to teach them in the best way. As we have seen, the value of the knowledge produced in social networks is recognized as a key issue in any organization (Dalkir, 2011;Barão & Rodrigues da Silva, 2011). Moreover, this is extremely relevant in the context of e-learning communities where collaboration and quality of resources is of ultimate importance.…”

Section: Introductionmentioning

confidence: 99%

Valuing Learning Objects Shared in an Online Community

Guzmán

Motz

Advances in Business Information Systems and Analytics

2014

Self Cite

In this chapter, the authors analyze and discuss how the activity inside a social network impacts on the value of a Learning Object (LO) used in a collaborative e-learning platform. Recent works propose metrics for measuring LO reusability based on a variety of approaches. In this work, they combine and extend these approaches in order to design a valuation strategy which helps to identify the usage of LOs inside a social network. Their proposal is to identify the factors that are relevant for the valuation of a LO and determine which of them can be computed automatically from its context of usage, the level of success of its authors and its metadata. The authors’ analysis was performed on a particular social network called LOP (LO Poll) system, which strongly motivates the creation and collaborative valuation of LOs. They present preliminary conclusions obtained from an experiment performed in order to analyze the feasibility of the proposal.