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.

Predictors of it Support for Knowledge Management in the Professions: An Empirical Study of Law Firms in Norway

2000 ◽  
Vol 15 (1) ◽  
pp. 69-78 ◽  
Author(s):  
Petter Gottschalk
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Field Study ◽  
Business Processes ◽  
Advanced Technology ◽  
Law Firms ◽  
Second Phase ◽  
Structured Interviews ◽  
Initial Field ◽  
Knowledge Intensive

Knowledge management is an increasingly important source of competitive advantage for organizations. Knowledge embedded in an organization's business processes and an employee's skills provide a firm with unique capabilities for delivering a product or service to customers. Law firms represent an industry which seems very well suited for knowledge management investigation. Law firms are knowledge intensive and the use of advanced technology may transform these organizations in the future. To examine knowledge management in Norwegian law firms, a study which involved two phases of data collection and analysis was designed. The first phase was a field study of the largest law firm in Norway. The semi-structured interviews conducted in the initial field study documented a strong belief in the potential benefits from knowledge management. The second phase was a survey of Norwegian law firms. Firm culture, firm knowledge and use of information technology were identified as potential predictors of information technology support for knowledge management in law firms in Norway. The extent to which law firms in Norway use information technology to support knowledge management is significantly influenced by the extent firms generally use information technology.

Information Technology Support for Interorganizational Knowledge Transfer

2004 ◽  
pp. 262-274 ◽  
Author(s):  
V.K. Khandelwal ◽  
Petter Gottschalk
Keyword(s):  
Knowledge Management ◽  
Management Practice ◽  
Critical Role ◽  
Advanced Technology ◽  
Law Firms ◽  
Technology Support ◽  
Knowledge Management Practice ◽  
Interorganizational Trust ◽  
Knowledge Based ◽  
Knowledge Intensive

This chapter explores some important and contemporary issues concerning the knowledge-based view of the firm. Law firms represent an industry that seems very well suited to knowledge management investigation. Law firms are knowledge intensive, and the use of advanced technology may well transform these organizations in the future. This chapter reports empirical results from Norwegian and Australian law firms on their use of IT to support their knowledge management practice. IT plays a critical role in inter firm knowledge management efforts. This interorganizational study documents that the extent of knowledge cooperation had a significant impact on the use of IT to support interorganizational knowledge management. The extent of interorganizational trust did not have any significant impact.

Audit Market Concentration, Audit Fees, and Audit Quality: Evidence from China

2015 ◽  
Vol 35 (2) ◽  
pp. 121-145 ◽  
Author(s):  
Ting-Chiao Huang ◽  
Hsihui Chang ◽  
Jeng-Ren Chiou
Keyword(s):  
Indirect Effect ◽  
Audit Quality ◽  
Earnings Quality ◽  
Audit Fees ◽  
Developed Countries ◽  
Market Concentration ◽  
Legal Environment ◽  
Positive Relation ◽  
Audit Market ◽  
Lower Likelihood

SUMMARY We investigate the effects of audit market concentration on audit fees and audit quality in China, where competition is intense and the legal environment is relatively weak compared with developed countries. Analyzing 12,334 firm-year observations for the period 2001 to 2011, we find a significant positive relation between concentration and audit fees. Path analysis shows that concentration improves client earnings quality and reduces the need for auditors to issue modified audit opinions through increased audit fees. Additional analysis indicates that the increased audit fees and client earnings quality resulting from increased concentration are associated with a lower likelihood of executives and auditors being sanctioned by regulators for audit failures. Together, our results suggest that concentration improves audit quality indirectly through increased audit fees and this positive indirect effect offsets the negative direct effect of concentration on audit quality. By separating the direct and the indirect effect of concentration on audit quality, our study would explain why previous studies that do not have a separation document mixed evidence. Our findings inform regulators that actions taken to eliminate the indirect effect of concentration, for example restricting the upper bound of audit fees, could produce unintended outcomes such as decreased audit quality.

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 Barriers to Knowledge Management in the Health Sector of Pakistan

2018 ◽  
Vol 10 (11) ◽  
pp. 4155 ◽  
Author(s):  
Jawad Karamat ◽  
Tong Shurong ◽  
Naveed Ahmad ◽  
Abdul Waheed ◽  
Shahbaz Khan
Keyword(s):  
Knowledge Management ◽  
Health Care Professionals ◽  
Matrix Multiplication ◽  
Health Sector ◽  
Developed Countries ◽  
Healthcare Industry ◽  
Sustainable Competitive Advantage ◽  
Interpretive Structural Modeling ◽  
Knowledge Assets ◽  
Effective Implementation

Knowledge management (KM) is the source for creating a sustainable competitive advantage, and it helps the organizations to retain, develop, organize and utilize their knowledge. Due to globalization, the organizations must maintain their knowledge assets to survive. Many organizations have realized the potential of KM and are applying it. Since the healthcare industry is growing significantly, it is continuously generating a wealth of knowledge. This knowledge can be recorded, communicated and used by many health care professionals with the help of KM. There is a wealth of research on KM in healthcare of developed countries, but very few studies regarding KM implementation can be found in developing countries i.e., Pakistan. Pakistan is now looking towards the implementation of KM; it is in its initial stages. The implementation of KM in the healthcare of Pakistan is affected by different barriers. In this study, the barriers will be identified and analyzed. An interrelationship between the barriers will be determined, and how the different barriers support each other (driving power), and how they influence each other (dependence power). The results of interpretive structural modeling (ISM) and MICMAC (Matrice d’Impacts croises-multipication appliqué an classment i.e., cross-impact matrix multiplication applied to classification) approach show that lack of support from top management, insufficient strategic planning and lack of support from organizational structure are the main barriers to KM adoption in the healthcare of Pakistan. This study provides a solution in determining the main barriers that need to be solved first, and to ensure effective implementation of KM in the healthcare of Pakistan.

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
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