Knowledge Management and Growth Strategies: Evidence from Chinese Knowledge-Intensive New Ventures

2010 ◽  
pp. 212-232
Author(s):  
Huan Zou ◽  
Pervez Ghauri
Keyword(s):  
Knowledge Management ◽  
New Ventures ◽  
Growth Strategies ◽  
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.

How Conflicting Imprints at Founding Affect New Ventures’ Growth Strategies

2021 ◽  
Vol 2021 (1) ◽  
pp. 14248
Author(s):  
Anna Krzeminska ◽  
Charmine E. J. Hartel
Keyword(s):  
New Ventures ◽  
Growth Strategies

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.

scholarly journals Operationalization of knowledge management in knowledge-intensive Pakistani banks: a qualitative case study

2017 ◽  
Vol 1 (1) ◽  
pp. 36-45
Author(s):  
Salman Bashir Memon ◽  
◽  
Wajid Hussain Rizvi ◽  
Syed Sumaiya ◽  
◽  
...  
Keyword(s):  
Knowledge Management ◽  
Qualitative Case Study ◽  
Knowledge Intensive

Should knowledge management in organizations be rebranded?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maayan Nakash ◽  
Dan Bouhnik
Keyword(s):  
Knowledge Management ◽  
Organizational Context ◽  
Theory Approach ◽  
Content Type ◽  
Study Approach ◽  
Qualitative Research Methodology ◽  
Knowledge Intensive ◽  
Strategic Perspective ◽  
First Time

Purpose This study aims to examine the relevance of the term “knowledge management” (KM) in the organizational context, and deliberates whether there is a need for rebranding of this field. It also enriches the understanding regarding the appropriateness of the term “KM,” which was chosen to represent the discipline. Design/methodology/approach This study adopted a qualitative research methodology, and a case study approach was followed by conducting 19 semi-structured in-depth interviews with international KM experts working in a global consulting firm. The data were analyzed using a thematic analysis method based on the grounded theory approach. Findings The findings provide empirical evidence that attempts are being made to move away from the label “KM” in certain knowledge-intensive organizations. This study sheds light on the challenges associated with this term, which leads some to believe that the name of the discipline needs to change. Originality/value The present pioneering research contributes to empirical knowledge through investigation of an unexplored scientific field. To the best of the authors’ knowledge, for the first time, its uniqueness can be established by the fact that the opinions of KM professionals are being heard regarding the “KM” label, as well as the need for a rebranding of this discipline in the organizational context. From a practical and strategic perspective, this study suggests that the research community and practitioners pay attention to attempts to shift away from the existing title identified in organizational practice.

Knowledge Management Processes in Enterprise Systems

2013 ◽  
pp. 160-181
Author(s):  
Razatulshima Ghazali ◽  
Nor Hidayati Zakaria
Keyword(s):  
Knowledge Management ◽  
Knowledge Transfer ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Enterprise Systems ◽  
Journal Articles ◽  
Management Processes ◽  
Knowledge Intensive ◽  
Conference Papers

Activities related to Enterprise Systems (ES) are knowledge-intensive tasks, and the management of ES-related knowledge has received much attention in the Knowledge Management (KM) field. A systematic literature review of empirical studies of KM processes in the ES lifecycle identifies the KM processes most widely explored and the ES-related knowledge most often addressed. From 350 relevant book chapters, journal articles, and conference papers, 49 papers discuss KM processes in the ES lifecycle. The KM process that appears most often in studies of KM in the ES context is knowledge transfer/sharing. The type of ES-related knowledge most often studied in the literature is knowledge of the client organization.

Ontology-Based Competency Management

2005 ◽  
pp. 302-324 ◽  
Author(s):  
Miguel-Angel Sicilia
Keyword(s):  
Knowledge Management ◽  
Human Resource ◽  
Knowledge Creation ◽  
Learning Activities ◽  
Complex Process ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive ◽  
Organizational Needs ◽  
Dynamic Cycle ◽  
Competency Management

Learning activities can be considered the final outcome of a complex process inside knowledge intensive organizations. This complex process encompasses a dynamic cycle, a loop in which business or organizational needs trigger the necessity of acquiring or enhancing human resource competencies that are essential to the fulfillment of the organizational objectives. This continuous evolution of organizational knowledge requires the management of records of available and required competencies, and the automation of such competency handling thus becomes a key issue for the effective functioning of knowledge management activities. This chapter describes the use of ontologies as the enabling semantic infrastructure of competency management, describing the main aspects and scenarios of the knowledge creation cycle from the perspective of its connection with competency definitions.

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