Dynamizing intellectual capital through enablers and learning flows

Dynamizing intellectual capital through enablers and learning flows Purpose – The main aim of this research is to relate intellectual capital (IC) and organizational performance through intermediate variables, enablers and learning flows. To this end, the paper defines a new theoretical model of relations and presents an empirical study to contrast the model. Design/methodology/approach – The proposed theoretical model is contrasted by means of a quantitative study of Spanish firms from the biotechnology sector. The statistical analysis applies a method based on variance using partial least squares. Findings – The theoretical model proposes a total of 15 relations, 13 of which are statistically significant, which demonstrates the close relationship between IC and performance using enablers and learning flows as intermediate variables. Originality/value – From the theoretical model proposed and its subsequent empirical contrast, the research shows the close relations that exist between areas of knowledge that traditionally appear separately in the literature. The proposed model thus allows us to explain and predict the dynamization of the components of IC due to enablers and learning flows, and the effect of these elements on organizational performance. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Industrial Management & Data Systems Emerald Publishing

Dynamizing intellectual capital through enablers and learning flows

Loading next page...
 
/lp/emerald-publishing/dynamizing-intellectual-capital-through-enablers-and-learning-flows-BHn5d2eYQR
Publisher
Emerald Publishing
Copyright
Copyright © 2014 Emerald Group Publishing Limited. All rights reserved.
ISSN
0263-5577
D.O.I.
10.1108/IMDS-04-2013-0190
Publisher site
See Article on Publisher Site

Abstract

Purpose – The main aim of this research is to relate intellectual capital (IC) and organizational performance through intermediate variables, enablers and learning flows. To this end, the paper defines a new theoretical model of relations and presents an empirical study to contrast the model. Design/methodology/approach – The proposed theoretical model is contrasted by means of a quantitative study of Spanish firms from the biotechnology sector. The statistical analysis applies a method based on variance using partial least squares. Findings – The theoretical model proposes a total of 15 relations, 13 of which are statistically significant, which demonstrates the close relationship between IC and performance using enablers and learning flows as intermediate variables. Originality/value – From the theoretical model proposed and its subsequent empirical contrast, the research shows the close relations that exist between areas of knowledge that traditionally appear separately in the literature. The proposed model thus allows us to explain and predict the dynamization of the components of IC due to enablers and learning flows, and the effect of these elements on organizational performance.

Journal

Industrial Management & Data SystemsEmerald Publishing

Published: Jan 28, 2014

Keywords: Performance; Intellectual capital; Feedback; Enablers; Feedforward

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off