000‑Editorial.pdf
pp1‑2
Delio I. Castaneda, Carlos Pardo, Paul Toulson
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Abstract
Abstract: Knowledge sharing research is growing in Latin America. Most instruments used to measure employees knowledge sharing activities have been developed in the Anglo‑American language (English). Currently there is no instrument available to measur
e the knowledge‑sharing construct in Spanish. The purpose of this paper is to present the results of the research process adopted to design, construct and validate such an instrument in the Spanish language. The validation process was conducted with 228 k
nowledge workers in Colombia. The instrument has two components. The first part (32 items) evaluates the different ways in which knowledge is shared in an organization. The second part (24 items) evaluates the different tools used in an organization t
o share knowledge. The validation process is structured in three steps: the construction of the items following a review of the literature; psychometric validation, and the statistical verification of the instruments sub‑scales. Four categories of types
of knowledge and four categories of knowledge sharing techniques are identified. The results of this research contribute to the understanding of a broader perspective of the measurement of knowledge sharing behavior and enable the measurement of this cons
truct in Spanish. Many of the current instruments are very short and do not consider categories of knowledge sharing, neither tools people use to share knowledge. It is expected that the instrument will become a referent to the measurement of knowledge sh
aring in Spanish speaking countries. It is recommended the translation into English and the validation process of the instrument with an English speaking sample.
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Kaisa Still, Jukka Huhtamäki, Martha G. Russell
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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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Elena Tkachenko, Elena Rogova, Sergey Bodrunov
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Abstract
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