Creating Collaborative Partnerships

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Presentation transcript:

Creating Collaborative Partnerships Learning Outcomes Explain Web 2.0 and identify its four characteristics Explain how Business 2.0 is helping communities network and collaborate Describe the three Business 2.0 tools for collaborating Explain the three challenges associated with Business 2.0 Describe Web 3.0 and the next generation of online business A detailed review of the learning outcomes can be found at the end of the chapter in the textbook

Concepts Web 2.0 User-contributed content Reputation system Advantages Characteristics User-contributed content Reputation system Collaboration Tacit knowledge Explicit knowledge Crowdsourcing Collective intelligence Knowledge management Biz 2.0 Social Tagging Tools for Collaboration Mobile business

Business 2.0 Tags Specific keywords or phrases incorporated into website content for means of classification or taxonomy Social tagging Folksonomy Website bookmark Social bookmarking Social tagging - Describes the collaborative activity of marking shared online content with keywords or tags as a way to organize it for future navigation, filtering, or search. Folksonomy - Similar to taxonomy except that crowdsourcing determines the tags or keyword-based classification system. Website bookmark - A locally stored URL or the address of a file or Internet page saved as a shortcut. Social bookmarking - Allows users to share, organize, search, and manage bookmarks. Ask your students to research the Internet to determine how tagging can impact an organization

Business 2.0 Tools Blogs Wikis Mashups Social bookmarking Microblogging RSS Wikis Mashups Social bookmarking

The Challenges Of Business 2.0 Ebusiness challenges include: Protecting consumers Leveraging existing systems Increasing liability Providing security Adhering to taxation rules Which type of ebusiness security would you recommend a business implement? Why? Ebusiness Security Encryption - scrambles information into an alternative form that requires a key or password to decrypt. Encryption is achieved by scrambling letters, replacing letters, replacing letters with numbers, and other ways. Secure socket layer (SSL) - (1) creates a secure and private connection between a client and server computer, (2) encrypts the information, and (3) sends the information over the Internet. SSL is identified by a website address that includes an “s” at the end—https. Secure electronic transaction (SET) - a transmission security method that ensures transactions are secure and legitimate. Similar to SSL, SET encrypts information before sending it over the Internet. However, SET also enables customer authentication for credit card transaction. SETs are endorsed by major ecommerce players including MasterCard, American Express, Visa, Netscape, and Microsoft. 15-5

WEB 3.0 Web 3.0 – Based on “intelligent” Web applications using natural language processing, machine-based learning and reasoning, and intelligence applications Semantic Web – A component of Web 2.0 that describes things in a way that computers can understand Transforming the Web into a Database The first step toward a Web 3.0 is the emergence of the data-driven Web as structured data records are published to the Web in formats that are reusable and able to be queried remotely. Because of the recent growth of standardized query language for searching across distributed databases on the Web, the data-driven Web enables a new level of data integration and application interoperability, making data as openly accessible and linkable as Web pages. The data-driven Web is the first step on the path toward the full semantic Web. In the data-driven Web phase, the focus is on making structured data available using databases. The full semantic Web stage will widen the scope such that both structured data and even what is traditionally thought of as unstructured or semistructured content (such as Web pages, documents, email, etc.) will be widely available in common formats. An Evolutionary Path to Artificial Intelligence Web 3.0 has also been used to describe an evolutionary path for the Web that leads to artificial intelligence that can reason about the Web in a quasi-human fashion. Some skeptics regard this as an unobtainable vision. However, companies such as IBM and Google are implementing new technologies that are yielding surprising information, such as predicting hit songs by mining information on college music Web sites. There is also debate over whether the driving force behind Web 3.0 will be intelligent systems, or whether intelligence will emerge in a more organic fashion, from systems of intelligent people, such as via collaborative filtering services like del.icio.us, Flickr, and Digg that extract meaning and order from the existing Web and how people interact with it. The Realization of the Semantic Web and SOA Related to the artificial intelligence direction, Web 3.0 could be the realization of a possible convergence of the semantic Web and service-oriented architecture (SOA). Companies have longed to integrate existing systems in order to implement information technology support for business processes that cover the entire business value chain. The main drivers for SOA adoption are that it links computational resources and promotes their reuse. Enterprise architects believe that SOA can help businesses respond more quickly and cost-effectively to changing market conditions. This style of architecture can simplify interconnection to—and usage of—existing IT (legacy) assets. Evolution Toward 3D Another possible path for Web 3.0 is toward the three-dimensional vision championed by the Web3D Consortium. This would involve the Web transforming into a series of 3D spaces, taking the concept realized by Second Life further. This could open up new ways to connect and collaborate using 3D shared spaces. 15-6

Egovernment: The Government Moves Online Review the website http://firstgov.gov/ - the official U.S. gateway to all government information This website is a catalyst for a growing electronic government Ask your students to review the following websites to further understand the progress being made in egovernment C2G – eGov.com B2G – lockheedmartin.com G2B – export.gov G2C – medicare.gov G2G – disasterhelp.gov 15-7