Access the full text.
Sign up today, get DeepDyve free for 14 days.
N. Bontis, William Keow, S. Richardson (2000)
Intellectual capital and business performance in Malaysian industriesJournal of Intellectual Capital, 1
B. Marr, Jay Chatzkel (2004)
Intellectual capital at the crossroads: managing, measuring, and reporting of ICJournal of Intellectual Capital, 5
(2001)
Accounting gets radical
N. Bontis (2003)
Intellectual Capital Disclosure in Canadian CorporationsJournal of Human Resource Costing & Accounting, 7
J. Roos, L. Edvinsson, G. Roos (1997)
Intellectual Capital: Navigating in the New Business Landscape
T.W. Powell
The knowledge matrix: a proposed taxonomy for enterprise knowledge
Frederik Wiersema (1997)
Customer Intimacy: Pick Your Partners, Shape Your Culture, Win Together
(2001)
PLS-graph user's guide
M. Maccoby (1999)
The Human Side: Building Cross-Functional Capability: What It Really TakesResearch-technology Management, 42
(2003)
Managing your human capital: the ultimate determinant of organizational performance? " , white paper
S. Hunt (1999)
The strategic imperative and sustainable competitive advantage: Public policy implications of resource-advantage theoryJournal of the Academy of Marketing Science, 27
Andrew Mayo (2001)
The human value of the enterprise: valuing people as assets: monitoring, measuring, managing
A. Diamantopoulos, H. Winklhofer (2001)
Index Construction with Formative Indicators: An Alternative to Scale DevelopmentJournal of Marketing Research, 38
Wynne Chin (2009)
Issues and Opinion on Structural Equation Modeling by
D. Morgan (1988)
Focus groups for qualitative research.Hospital guest relations report, 2 3
P. Drucker (1999)
Knowledge-Worker Productivity: The Biggest ChallengeCalifornia Management Review, 41
N. Bontis (2004)
National Intellectual Capital IndexJournal of Intellectual Capital, 5
P. Dishman, T. Pearson (2003)
Assessing intelligence as learning within an industrial marketing group: a pilot studyIndustrial Marketing Management, 32
J. Antony, Ricardo Bañuelas (2002)
Key ingredients for the effective implementation of Six Sigma programMeasuring Business Excellence, 6
Jin Chen, Zhaohui Zhu, H. Xie (2004)
Measuring intellectual capital: a new model and empirical studyJournal of Intellectual Capital, 5
D. Gefen, D. Straub, Marie-Claude Boudreau (2000)
Structural Equation Modeling and Regression: Guidelines for Research PracticeCommun. Assoc. Inf. Syst., 4
M. Zack (1999)
Developing a Knowledge StrategyCalifornia Management Review, 41
(1995)
The partial least squares (PLS) approach to causal modelling: personal computer adoption and use as an illustration
K. Wiig (1997)
Integrating intellectual capital and knowledge managementLong Range Planning, 30
A. Ditillo (1998)
Intellectual Capital ‐ Navigating in the New Business LandscapeBusiness Process Management Journal, 4
M. Maccoby
Building cross‐functional capability: what it really takes
J.F. Rockart
Chief executives define their own information needs
V. Allee (2000)
RECONFIGURING THE VALUE NETWORKJournal of Business Strategy, 21
Angela Andal-Ancion, P. Cartwright, George Yip (2003)
The Digital Transformation of Traditional BusinessesMIT Sloan Management Review, 44
J. Rockart (1982)
The changing role of the information systems executive : a critical success factors perspective
John Heinrichs, Jeen-Su Lim (2003)
Integrating web-based data mining tools with business models for knowledge managementDecis. Support Syst., 35
Wynne Chin, A. Gopal (1995)
Adoption intention in GSS: relative importance of beliefsData Base, 26
J. Rockart (1979)
Chief executives define their own data needs.Harvard business review, 57 2
E. Pedhazur (1982)
Multiple Regression in Behavioral Research: Explanation and Prediction
P. Harper (1991)
The case againstNature, 353
(2003)
Human capital management: the CFO's perspective 2003
Kieran Mathieson, E. Peacock, Wynne Chin (2001)
Extending the technology acceptance model: the influence of perceived user resourcesData Base, 32
A. Serenko, N. Bontis (2004)
Meta-review of knowledge management and intellectual capital literature: citation impact and research productivity rankingsKnowledge and Process Management, 11
M. Koenig (1996)
Intellectual Capital and Knowledge ManagementIFLA Journal, 22
(2006)
An exploratory study to identify operational knowledge assets from intangible value drivers in the high tech sector
M. Degroote (2002)
MANAGING AN ORGANIZATIONAL LEARNING SYSTEM BY ALIGNING STOCKS AND FLOWS
K.E. Sveiby
Methods for measuring intangible assets
G. Erickson, Helen Rothberg (2000)
INTELLECUTAL CAPITAL AND COMPETITIVENESS: GUIDELINES FOR POLICYCompetitiveness Review: An International Business Journal Incorporating Journal of Global Competitiveness, 10
James Walz (2005)
The Wealth of Knowledge: Intellectual Capital and the Twenty‐First Century Organization
N. Bontis (1998)
Intellectual capital: an exploratory study that develops measures and modelsManagement Decision, 36
P. Sullivan (1998)
Profiting from Intellectual Capital: Extracting Value from Innovation
D. Gefen, D. Straub, Marie-Claude Boudreau (2000)
Structural Equation Modeling Techniques and Regression: Guidelines for Research Practice
Julie Johnson, R. Griffeth, Mitch Griffin (2000)
Factors discriminating functional and dysfunctional salesforce turnoverJournal of Business & Industrial Marketing, 15
N. Bontis (2000)
Managing organizational knowledge by diagnosing intellectual capital : framing and advancing the state of the field
N. Bontis, J. Fitz‐enz (2002)
Intellectual capital ROI: a causal map of human capital antecedents and consequentsJournal of Intellectual Capital, 3
Wynne Chin (1998)
The partial least squares approach for structural equation modeling.
Washington Technology
Top 100 Federal Prime Contractors 2005
(2005)
Top 100 Federal Prime Contractors 2005 " , available at: www. washingtontechnology.com/top-100
(2004)
Prioritization of sources of intangible assets for use in enterprise balance scorecard valuation models of information technology (IT) firms
J. Hodgson (2003)
The Human Value of the Enterprise: Valuing People as Assets – Monitoring, Measuring, ManagingLeadership & Organization Development Journal, 24
Kyung-Kwon Hong, Young-Gul Kim (2002)
The critical success factors for ERP implementation: an organizational fit perspectiveInf. Manag., 40
T.A. Stewart
The case against KM
N. Bontis (2002)
National Intellectual Capital Index : A United Nations Initiative for the Arab Region
N. Bontis (2001)
Assessing knowledge assets: a review of the models used to measure intellectual capitalInternational Journal of Management Reviews, 3
Purpose – The paper seeks to develop a business model that shows the impact of operational knowledge assets on intellectual capital (IC) components and business performance and use the model to show how knowledge assets can be prioritized in driving resource allocation decisions. Design/methodology/approach – Quantitative data were collected from 84 high‐tech federal contractors in the Washington DC metro area. Respondents in the target population were middle‐level and operations managers of business sectors holding positions as presidents, vice‐presidents, directors, engineering managers, operations managers, and analysts. Partial least squares (PLS) analysis was performed to develop a structural model between operational knowledge assets and IC components that maximizes explained variance for business performance. Operational assets were specified as formative constructs and IC and business performance were specified as reflective constructs. Findings – A parsimonious conceptually sound model with significant measured variables and path coefficients was developed that explains almost 40 percent of the variance in business performance. The model shows both the interrelationships between the IC components that drive performance and the operational assets as levers for each IC component, respectively. Research limitations/implications – The scope of the study was focused on the high‐tech federal contractors in the USA. However, the model can be applied and tested in different industry sectors. This would provide evidence of the different operational knowledge assets used as levers in different industry sectors. Practical implications – Senior executives and chief financial officers in particular are constantly challenged with making the optimum investment decisions given their budget constraints. The model offers a tool for developing and evaluating different resource allocation decisions based on an organization's strategic intent. In addition, the model can be useful in evaluating merger and acquisition decisions. In evaluating target companies the model can be used to identify the core capabilities or competency areas that the target company is leveraging and assess the impact or integration potential for the acquiring company. Originality/value – This is the first study in the field of IC that has adopted the use of formative indicators in specifying operational knowledge asset constructs. Previous research has focused on developing models with the use of proxy measures as reflective indicators. Therefore the emphasis so far has been on scale development. The use of formative items in this study fills both the business need and theory gap to understand better the causal relationships that exist between work and knowledge assets.
The Learning Organization – Emerald Publishing
Published: Jun 5, 2007
Keywords: Knowledge management; Intellectual capital; Business performance; Resource allocation; Mathematical modelling
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.