Enterprise Collaborative application (1)-knowledge management

First, let's take a look at Baidu Library, an Internet product. Before this product came out, there were already a lot of websites for downloading large amounts of data such as wanggu, changxiang, Sina AIQ, and forums, there are also online libraries and browsing products similar to douding net. However, Baidu Library is still developing rapidly. It is no exaggeration to say that with the development of Baidu Library, a large number of websites or forums that rely solely on data download and sharing will disappear.

It can also be said that Baidu Library observes the concept of Baidu box computing, and does not consider that end users have a strict database, rigorous knowledge classification and knowledge management, end users must be problem-driven and demand-driven. They often need a one-click search to get the desired content. If you have a rough look at the content, you can download it immediately. In order to meet this simple and authentic data demand, the perfect integration of search engine + online browsing is enough from the front-end. To meet the needs of large data concurrency and unlimited scaling, the basic features of the cloud storage architecture are required.

The Library itself also embodies the basic features of web. The Library is only a platform that requires Mass Creation and uploading of materials. Through the credit and wealth mechanisms, the library improves the enthusiasm for uploading and creating materials, and downloads the document itself, evaluation and other collection of the required web2.0 interaction information, forming an Asynchronous interaction mechanism around the document itself. Therefore, a complete functional Product Platform + an effective incentive mechanism can achieve a good application product.

Looking back at the traditional enterprise's internal knowledge sharing platform, which is basically based on traditional forums or document management systems. This platform is very professional and systematic, but its application is often not very good. Because the product cannot meet users' basic and simple data demands, nor stimulate the enthusiasm of Group Creation, such databases or asset libraries lack the vitality of web2.0, in other words, the complexity of use is eventually discarded. This does not completely deny the knowledge classification, knowledge structure, process and standard system, but is a special product suitable for a small number of people.

In product R & D, product segments do not expect to generate a new product simply by shielding or canceling functions on a complex product with complete functions, instead, we will consider how to extract the core value of old products and rerefine a new product. Just as when I only need a mobile phone with a call and text message function, you recommended me a smart phone and told me that if the game, video, and photo were used, if you don't need office functions, it is a simple mobile phone. Just like blogs and microblogs, blogs can also publish articles in 140 words, but the two products have completely different requirements for end users.

The nature of search-driven systems is question-driven and demand-driven. If you don't want it, you don't have to worry about it. If you want it, you can quickly find it. This is quite different from the scientific knowledge management we often say, but it represents the real needs of end users. The best way for enterprises to manage unstructured knowledge is to use search-driven enterprise Q & A + Enterprise Library, and to use effective incentives to form a passion for group participation and creation, save the product's vitality.

When I look at the enterprise Weibo application, I can say that it is in a relatively embarrassing position. Using it well will not bring too much value. I used to think about sharing experiences through Weibo, however, this cannot be implemented. The negative effects of poor use are quite large. After all, company managers do not like to see employees nagging at it. It is not a simple task to create value for fragmented things. However, we can see that the idea of Weibo can be used for reference, but it requires a main line, similar to the topic mentioned in Weibo. This topic can be a problem, a knowledge point, A document or project can be used, so such expansion will often produce practical value and meaning.