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Despite the many potential bene ts, e-collaboration and c-commerce are moving ahead fairly slowly. Reasons cited in various studies include technical reasons involving integration, standards, and networks; security and privacy concerns over who has access to and control of information stored in a partner s database; internal resistance to information sharing and to new approaches; and lack of internal skills to conduct collaborative commerce (Schram, 2001). A big stumbling block to the adoption of c-commerce is the lack of de ned and universally agreed-on standards. New approaches such as the use of XML and its variants and the use of Web Services could lessen signi cantly the problem of standards. (See Bradley, 2002, and cpfr.com for discussion of the CPFR collaboration, planning, forecasting, and replenishing initiative.) Sometimes collaboration is an organizational culture shock people simply resist sharing. One reason is the lack of trust, especially in ad-hoc relationships. According to Gibson-Paul (2003) companies such as Boeing and Salding are grappling with the trust factor. Some techniques she suggested include starting small (e.g., synchronizing one type of sales data), picking up projects that are likely to provide a quick return on investment for both sides, meeting face-toface at the beginning of a collaboration; and showing the bene ts to all parties. Despite initial lack of trust, if potential collaborators judge the bene ts of collaboration to be suf cient, and about equal among collaborators, they will be more eager to join in. Finally, global collaboration involves all of these potential barriers, and more. For further discussion, see Davison and de Vreede (2001) and Carmel (1999).

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It took about four months before the knowledge base was ready for the rst group of users The knowledge management system uses complex algorithms to process natural language queries and provide customer service agents with lists of most likely answers to.

<html:form /> displayed. The default value is Action.ERROR_KEY. (Optional) property Specifies which error messages should be displayed, based on each property contained in the ActionErrors collection. The default value indicates that all error messages should be displayed. (Optional) To use the <html:errors /> tag, you simply need to insert the tag as shown in the following code snippet:

GROUP BY queries divide the data source into several segmented data sets and then generate a summary row for each group. For GROUP BY queries, the GROUP BY columns can and should

There are three tabs on the Database Engine Con guration page: Account Provisioning, Data Directories, and Filestream. Account Provisioning con gures SQL Server to only accept users based on their Windows account or mixed mode, which also allows SQL Server-de ned users. If mixed mode is selected, then the SA

squared 2 between the corresponding M-PSK symbols and the Hamming distance dH between the corresponding information bit sequences. From the discussion above, in the absence of fading (i.e., the AWGN channel), each branch between pair-states in the transition diagram has a gain G of the form G= 1 dH 2 I D 2nc (13.54)

Minimum hardware requirements from the Fedora Project are pretty good guidelines for most Linux systems: n Processor The latest version of Fedora Core recommends that you at least have a Pentium-class processor. For a text-only installation, a 200 MHz Pentium is the minimum, while a 400 MHz Pentium II is the minimum for a GUI installation.

As shown in Figure 4-12, the next data-entry form combines data from several tables to provide general information about visits. This form contains information about customers, pets, and visits; its primary purpose is to allow a user to enter this type of information into the database. Visit Number is the key field for this form.

name --------AdventureWorks2008_Data AdventureWorks2008_Log size max_size ------- --------25080 -1 256 268435456

systematic error that contributes to the overall uncertainty in the data. As a result, when we make repeated measurements of a sample activity under seemingly identical situations, we will nd occasionally one measurement that differs from the others by a large amount. If included in the average, this abnormal observation may cause signi cant error. When are we justi ed in rejecting such data One criterion for rejecting such data is to reject suspected values that deviate from the mean by more than 2s or 3s. The probabilities of occurrence of such deviations are 4.5 and 0.27%, respectively. What about the question of whether a detector or counting system is working properly For example, the data in Table 18.2 do not exactly match a Poisson or normal distribution. Was the counting system malfunctioning One parameter that we can calculate that will help us answer such questions is x2 (chi squared). Formally, x