9. Push technologies. The technology of push-pull is deceptively simple, this technology facilitates relevant information to be sent to the clients automatically without the clients having to make an effort to retrieve information. Push technology, eliminates the need for browsing by pushing Internet content to the desktop, was introduced when PointCast Inc. transformed a PC's screen saver into a news feed. Since then, scores of vendors have attempted to establish niches in the potentially lucrative push market.

10. Agents. Intelligent Software Agents are programs that act on behalf of their human users in order to perform laborious information gathering tasks, such as locating and accessing information from various on-line information sources, resolving inconsistencies in the retrieved information, filtering away irrelevant or unwanted information, integrating information from heterogeneous information sources and adapting over time to their human users' information needs and the shape of the information delivery or presentation. Agents are an autonomous, (preferably) intelligent, collaborative, adaptive computational entity. Here, intelligence is the ability to infer and execute needed actions, and seek and incorporate relevant information, given certain goals.

11. Help-desk applications. Help-desk applications allows organizations to effectively manage internal and external client support, they provide a single, shared database for logging helpdesk issues, notifying support personnel and tracking problem resolution. This is typically achieved using, Call tracking, Problem Resolution, Knowledge Base, Call History, Action Log, Progress Notes, Asset Management, Custom fields, Job Templates, Drill-down management reports, emails support, Auto-email notification and escalation.

12. Customer relationship management. Customer relationship management (CRM) is a strategy for delivering superior customer service in order to effectively acquire, develop, and retain a company's most important assets-its customers. In particular, it demands acquiring an understanding of the kinds of things that are important to each and every individual customer and developing programs that consistently satisfy those needs during every customer interaction. It is important to note that ‘customers' are no longer just traditional end users or consumers, but potentially they can be partners or resellers or any group thatrequires information or services from an organization.

13. Data warehousing. Data warehouse is a central store of data common to the organization. It is a central repository of information drawn from disparate and physically distributed operational source systems of an enterprise, as well as external data. Business managers and specialists use it as a data source for decision support applications. Creating an enterprise data warehouse is an investment. Enterprise data warehouse are usually not designed for direct business user access but rather as a source for dependent data marts. Implementing an enterprise data warehouse requires greater attention to high-levelbusiness requirements as well as to the metadata.

14. Data mining. Data mining can be defined as the process of selecting, exploring, and modelling large amounts of data to uncover previously unknown patterns. In the insurance industry, data mining can help firms gain business advantage. For example, by applying data mining techniques, companies can fully exploit data about customers' buying patterns and behaviour and gain a greater understanding of customer motivations to help reduce fraud, anticipate resource demand, increase acquisition, and curb customer attrition.

15. Business process re-engineering. Business process re-engineering (BPR) is "the analysis and design of workflows and process within and between organizations" according to Davenport and Short (1990). Whereas, Teng, Grover, Jeong, and Kettinger (1995) define BPR as the critical analysis and radical redesign of existing business processes to achieve breakthrough improvements in performance measures.

16. Knowledge creation applications. Knowledge creation applications include-Brainstorming Applications, concepts mapping, mind mapping, decision support applications. From the earlier list of technology types and the knowledge management models (The knowledge development life cycle in particular), a mapping of technology type to knowledge management philosophical action may be created (Tyndale, 2002, pp. 4-6).