Firm performance effects in relations to the implementation and use of knowledge management systems

Feng, David Dagan; Chen, Edward T.

doi:10.1504/ijil.2007.011692

Cited by 19 publications

(7 citation statements)

References 28 publications

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“…A compilation of HC, level of an economy's innovativeness, development of general infrastructure (in particular IT infrastructure) as well as the general values of the basic macroeconomic indexes in an economy, remain constant for all enterprises operating within it. However, each of the entities -manufacturing firms and service firms, utilising its own operational strategy, properly selected teams of employees and individual management, IT and knowledge management systems (Feng and Chen, 2007), creates its particularly constructed organisation, clearly distinguished from others operating in the same market. Owing to the above, utterly distinct enterprises are able to operate within the same scope of external conditions, often in the same markets and industries.…”

Section: Discussionmentioning

confidence: 99%

e‐Gaps in the economy: a case of Poland

Pastuszak

2008

Industrial Management &Amp; Data Systems

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Purpose -The paper aims to present the results of the author's research on the development of the new economy in Poland. It focuses on identifying two types of so-called "e-gaps", and shows the connection between e-technology and e-organisational gap. Design/methodology/approach -The factors determined the e-gaps have been identified based on the author's past research, and on the review of reports and statistics coming from different sources (net readiness indexes, public institutions, etc.). Findings -Despite the unfavourable macroeconomic, exogenous conditions which determine the high level of the e-technological gap in the Polish economy, Polish enterprises display a relatively lower level of the e-organisational gap. One of the methods of limiting the scope of the e-technological gap in economy seems to lie in initiating macroeconomic activities aimed at reducing the setback of particular enterprises and -consequently -facilitating the increase of economic competitiveness, taken as a whole.Research limitations/implications -The findings are based on the net readiness research made in Poland, and to see the international sight of e-gaps, the international net readiness research are needed. Practical implications -This paper makes possible to prepare a diagnosis of now-a-days net readiness development in Poland and indicates the most needed areas of activity of polish government and polish CEO's. Originality/value -The research may be used by other countries not as well developed in the e-business area as international leaders in order to know and to decrease the level of their e-gaps.

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Section: Discussionmentioning

confidence: 99%

e‐Gaps in the economy: a case of Poland

Pastuszak

2008

Industrial Management &Amp; Data Systems

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“…Loshin,2003, believes the basic technologies of BI which includes business rule modelling, data warehousing, data profiling and online analytical processing also data mining, fully utilized and integrated massive data to help the organization gain competitive advantages. Meanwhile, Knowledge Management (KM) is a set of practices of creation, development and application of knowledge to enhance and increase the organization's performance, cited by Wiig, 1999; Buckman, 2004;Feng and Chen, 2007;Lee and Change, 2007;Smoliar, 2007;Wu et al, 2007;Paiva and Goncalo, 2008;Ramachandran et al, 2008. KM improves the knowledge and information usage in organization, similarly to BI, yet different in many aspects.…”

Section: Links Between Data Mining Bi and Knowledge Managementmentioning

confidence: 99%

Business Intelligence Using Data Mining for Organizational Sustainability: A Case Study of Digi Telecommunication Sdn Bhd

Bidin¹,

Yunus²

2018

IJARBSS

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In today business, meeting consumer satisfaction and needs is an unquestionable requirement. The organizations need to incorporate the vast volumes of data accessible and to utilize this information to bolster the nature of their decision making, in order to remain competitive advantage (sustainability) and to expand the profit. This paper displays a log information explanatory process in telecommunication industry, for business intelligence intrigued by breaking down client and behavioural data to enhance their comprehension of client dependability and client's satisfaction. The data mining procedure to accomplish key client management goals is introduced. This paper gives a demonstrated information explanatory strategy used to recognize variety kinds of attributes in telecommunication industry, specifically in Digi Telecommunication Sdn. Bhd, Malaysia.

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“…KM, on the other hand, is a set of practices of the creation, development, and application of knowledge to enhance performance of the organization (Wiig, 1999;Buckman, 2004;Feng and Chen, 2007;Lee and Change, 2007;Smoliar, 2007;Wu et al, 2007;Paiva and Goncalo, 2008;Ramachandran et al, 2008). Similar to BI, KM improves the use of information and knowledge available to the organization (Sun and Chen, 2008).…”

Section: Imds 1085 622mentioning

confidence: 99%

A knowledge management approach to data mining process for business intelligence

Wang

2008

Industrial Management &Amp; Data Systems

110

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Purpose-Data mining (DM) has been considered to be a tool of business intelligence (BI) for knowledge discovery. Recent discussions in this field state that DM does not contribute to business in a large-scale. The purpose of this paper is to discuss the importance of business insiders in the process of knowledge development to make DM more relevant to business. Design/methodology/approach-This paper proposes a blog-based model of knowledge sharing system to support the DM process for effective BI. Findings-Through an illustrative case study, the paper has demonstrated the usefulness of the model of knowledge sharing system for DM in the dynamic transformation of explicit and tacit knowledge for BI. DM can be an effective BI tool only when business insiders are involved and organizational knowledge sharing is implemented. Practical implications-The structure of blog-based knowledge sharing systems for DM process can be practically applied to enterprises for BI. Originality/value-The paper suggests that any significant DM process in the BI context must involve data miner centered DM cycle and business insider centered knowledge development cycle.

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Firm performance effects in relations to the implementation and use of knowledge management systems

Cited by 19 publications

References 28 publications

e‐Gaps in the economy: a case of Poland

e‐Gaps in the economy: a case of Poland

Business Intelligence Using Data Mining for Organizational Sustainability: A Case Study of Digi Telecommunication Sdn Bhd

A knowledge management approach to data mining process for business intelligence

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