Sentence examples for knowledge-based enterprises from inspiring English sources

During the past 20 years, North Carolina has transitioned from an economy driven by tobacco and textiles to one based on knowledge-based enterprises like software, IT, financial services, and film and TV production.

Mr. Mori says his aim is to replace Tokyo's chaotic, low-rise industrial-era neighborhoods with a more modern and convenient urban environment suited to knowledge-based enterprises like finance and software.

The economy is driven by knowledge-based enterprises and is home to one of the oldest and largest science parks in the U.S. the Research Triangle Park (RTP which houses more than 150 companies, including Fortune 100 multinational operations and start-ups.

The concepts aimed at are characterized by modularity and intelligence, thus, enabling flexibility and re-configurability focusing on future knowledge-based and agile manufacturing enterprises.

The critical success factors for enterprises operating in knowledge-based economies include the ability to effectively accumulate knowledge, the ability to utilize knowledge, and the drive to create intellectual property (IP).

The first project from 2012, called "Adjustment of enterprises' management systems to knowledge-based economy", and the second one from 2014, called "Determinants of implementing modern methods and technics of management in Polish enterprises".

In today's competitive global marketplace and knowledge-based economy, user requirement becomes an important input information for enterprises to develop new product and a critical factor to drive product collaborative design evolution.

One of the world's most conspicuously successful centres of enterprise lies in that bit of California known as Silicon Valley: computing is today's knowledge-based industry par excellence (see survey) The new jobs in tomorrow's industries, in manufacturing and services alike, will call for more than button-pressing automatons.

In that regard, observe that multinational enterprises (MNEs) are generally good at adapting to different market conditions around the globe to explore their knowledge-based assets and to create new knowledge-based assets through innovation.

Moreover, large enterprise information systems are not able to manage the daily ad hoc communication inherent to the knowledge-based process itself.

MT came to be viewed as a large-scale engineering enterprise that would not have broad impacts until it could be adequately integrated with semantics and knowledge-based inference.