Knowledge Acquisition in Vague Objective Information Systems

2006 ◽  
pp. 344-354 ◽  
Author(s):  
Lin Feng ◽  
Guoyin Wang ◽  
Yong Liu ◽  
Zhenguo Zhu
Keyword(s):  
Information Systems ◽  
Knowledge Acquisition ◽  
Objective Information ◽  
Vague Objective

Competitive Advantage

2015 ◽  
pp. 195-210
Keyword(s):  
Information Systems ◽  
Small Business ◽  
Competitive Advantage ◽  
Knowledge Acquisition ◽  
Customer Orientation ◽  
The Novel ◽  
Improve Performance ◽  
Internal Resources ◽  
External Knowledge ◽  
Management Knowledge

If a small business is going to survive it must be competitive. Internally, efficient operations will contribute to lower costs. A positive environment will allow employees to gain and apply the necessary skills. Management knowledge of information systems will provide leadership. Externally, the establishment of knowledge acquisition networks will facilitate the novel use of information systems. This chapter discusses how a strategy which integrates all of the small business resources, especially those related to information systems, will improve performance. An overall customer orientation applying internal resources and accessing external knowledge will contribute to competitive advantage.

scholarly journals Laboratory automation: a challenge for the 1990s

1994 ◽  
Vol 16 (4) ◽  
pp. 125-129
Author(s):  
Claude Mordini
Keyword(s):  
Information Systems ◽  
Knowledge Acquisition ◽  
Cost Ratio ◽  
Laboratory Automation ◽  
Time To Market ◽  
Crucial Question ◽  
The Future ◽  
Efficiency Cost

There is tremendous pressure on industry and laboratories to develop increasingly complex procucts: for example catalysts, chiral chemicals, drugs and ceramics; conform to regulations; cope with increasingly severe competition; and meet steadily increasing costs. It is difficult, in this situation, to remain productive and competitive. It is vital to be equipped with, and be able to use appropriately, all the suitable methodologies and technologies. Working methods and personnel have to be appropriate. The future depends on three interdependent domains: automation in the broadest sense of the word, instrumentation and information systems. The easy work has already been done. Between 1984 and 1990, it was a question of going from nothing to something; now, it is necessary to increase and optimize.Therefore, the crucial question is now: ‘how can we go quicker in experimentation and acquire more knowledge, while spending less money?’ One solution is to use all the aspects of automation (robotics, instrumentation, data). Successful laboratory automation depends.on: shortened time to market; improved efficiency/cost ratio; motivation/competence/ expertise; communication; and knowledge acquisition. This paper examines some of the major technological areas of application.

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