Research on the knowledge management model of knowledge-intensive based services

2009 ◽  
Author(s):  
Wen Dai ◽  
Yingchun Song
Keyword(s):  
Knowledge Management ◽  
Management Model ◽  
Knowledge Intensive

Big data investments in knowledge and non-knowledge intensive firms: what the market tells us

2017 ◽  
Vol 21 (3) ◽  
pp. 623-639 ◽  
Author(s):  
Tingting Zhang ◽  
William Yu Chung Wang ◽  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Knowledge Management ◽  
Stock Market ◽  
Value Chain ◽  
Stock Prices ◽  
Economic Value ◽  
Information Value ◽  
Publicly Traded ◽  
Content Type ◽  
Knowledge Intensive

Purpose This paper aims to investigate the value of big data investments by examining the market reaction to company announcements of big data investments and tests the effect for firms that are either knowledge intensive or not. Design/methodology/approach This study is based on an event study using data from two stock markets in China. Findings The stock market sees an overall index increase in stock prices when announcements of big data investments are revealed by grouping all the listed firms included in the sample. Increased stock prices are also the case for non-knowledge intensive firms. However, the stock market does not seem to react to big data investment announcements by testing the knowledge intensive firms along. Research limitations/implications This study contributes to the literature on assessing the economic value of big data investments from the perspective of big data information value chain by taking an unexpected change in stock price as the measure of the financial performance of the investment and by comparing market reactions between knowledge intensive firms and non-knowledge intensive firms. Findings of this study can be used to refine practitioners’ understanding of the economic value of big data investments to different firms and provide guidance to their future investments in knowledge management to maximize the benefits along the big data information value chain. However, findings of study should be interpreted carefully when applying them to companies that are not publicly traded on the stock market or listed on other financial markets. Originality/value Based on the concept of big data information value chain, this study advances research on the economic value of big data investments. Taking the perspective of stock market investors, this study investigates how the stock market reacts to big data investments by comparing the reactions to knowledge-intensive firms and non-knowledge-intensive firms. The results may be particularly interesting to those publicly traded companies that have not previously invested in knowledge management systems. The findings imply that stock investors tend to believe that big data investment could possibly increase the future returns for non-knowledge-intensive firms.

Ontology-Based Interorganizational Knowledge Management in Sustainable Construction Project

2011 ◽  
Vol 243-249 ◽  
pp. 6339-6343
Author(s):  
Guang Bin Wang ◽  
Gui You He ◽  
Li Bian
Keyword(s):  
Knowledge Management ◽  
Construction Industry ◽  
Negative Impact ◽  
Sustainable Construction ◽  
Construction Process ◽  
Application Process ◽  
Process Ontology ◽  
Knowledge Intensive ◽  
Traditional Construction ◽  
Industry Needs

Due to the great negative impact, the construction industry needs to undergo a paradigm shift from traditional construction to sustainable construction. To reach the goal of sustainable development, the construction industry needs to intensify its efforts to move to a knowledge intensive mode. Based on the analysis of e-Cognos and the concept of ontology, this paper proposes that e-Cognos ontology can be applied in the development of sustainable construction process ontology, which is a key part of knowledge management system (KMS). Following this, the application process of ontology-based KMS is analyzed using IDEF0 modeling method. Finally, this paper analyzes interorganizational collaboration model in sustainable project.

scholarly journals Strategic management model with lens of knowledge management and competitive intelligence

2017 ◽  
Vol 47 (1) ◽  
pp. 55-93 ◽  
Author(s):  
Muhammad Shujahat ◽  
Saddam Hussain ◽  
Sammar Javed ◽  
Muhammad Imran Malik ◽  
Ramayah Thurasamy ◽  
...  
Keyword(s):  
Knowledge Management ◽  
Strategic Management ◽  
Competitive Advantage ◽  
Information Resources ◽  
Competitive Intelligence ◽  
Management Model ◽  
Management Process ◽  
Content Type ◽  
Use Of Knowledge ◽  
Strategic Management Process

Purpose The purpose of this study is primarily to discuss the synergic and separate use of knowledge and intelligence, via knowledge management and competitive intelligence, in each stage of strategic management process. Next, this paper aims to discuss the implications of each stage of strategic management process for knowledge management and competitive intelligence and vice versa. Design/methodology/approach A systematic literature review was performed within time frame of 2000-2016. Extracted information from reviewed studies was synthesized and integrated in strategic management model of Fred David. Findings A strategic management model with lens of knowledge management and competitive intelligence is proposed. Each stage of knowledge management process has implications for knowledge management and competitive intelligence and vice versa. In addition, synergic and separate use of knowledge and intelligence results in effective decision-making, leading to competitive advantage. Research limitations/implications Learning curve of knowledge management and competitive intelligence and being limited to the use of Fred David model are among the many key limitations. Practical implications Experts of knowledge management, competitive intelligence and strategic management can use this study to gain competitive advantage based on knowledge and information resources. Organizations should have knowledge management function and competitive intelligence to support the strategy formulation, implementation and evaluation. Social implications Readers can take a view for how they can manage their knowledge and information resources from a strategic perspective. Originality/value This study proposes a strategic management model with lens of knowledge management and competitive intelligence. The model discusses ways for synergic and separate use of knowledge and intelligence in each stage of strategic management, leading to competitive advantage. In addition, it discusses the holistic and integrated implications of knowledge management and competitive intelligence for each stage of strategic management process and vice versa.

scholarly journals Design, measurement and analysis of a Knowledge Management model in the context of a Mexican University

Innovar ◽  
2016 ◽  
Vol 26 (59) ◽  
pp. 21-34 ◽  
Author(s):  
Gibrán Rivera González ◽  
Igor Antonio Rivera González
Keyword(s):  
Higher Education ◽  
Knowledge Management ◽  
Human Resources ◽  
Knowledge Creation ◽  
Information Technologies ◽  
Model Fit ◽  
Management Model ◽  
Leadership Culture ◽  
Measurement And Analysis ◽  
Question Survey

The paper aims to design and apply a Knowledge Management (KM) model within the context of a Higher Education (HE) institution in Mexico. The model is composed of six enablers: leadership, culture, structure, human resources, information technologies and measurement, which facilitate the processes of knowledge creation, storage, transfer and application. A 53-question survey applied to thirty-six (36) people allowed to evaluate the degree of development and implementation of knowledge enablers and processes. Objectivity, reliability and overall model fit were assessed.

scholarly journals Strategies for knowledge management in law firms in Botswana

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
M.C. Fombad ◽  
J.A. Boon ◽  
T.J.D. Bothma
Keyword(s):  
Knowledge Management ◽  
Developed Countries ◽  
Law Firms ◽  
Legal Environment ◽  
Traditional Methods ◽  
Competitive Edge ◽  
Cost Efficient ◽  
Knowledge Intensive

This article formulates a route map on how law firms in Botswana may utilise knowledge management to enhance their competitive edge amidst the changing legal environment. It draws from the multiple definitions and perspectives of knowledge management, several frameworks and models together with the empirical findings to recommend a strategy for knowledge management in law firms in Botswana. It underscores the fact that knowledge management is becoming an imperative for the survival of law firms as knowledge intensive organisations. Law firms in Botswana can no longer afford to rely on the traditional methods of managing knowledge because there is a need for the 'best minds' and the best knowledge in their area of practice. It is recommended that lawyers should be proactive, adaptive, innovative, effective and competitive in the provision of outstanding, cost-efficient and effective services to clients. Most previous studies in this area have been carried out in developed countries with large law firms.

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