1. How can organizations develop confidence in the security of their networked systems when they have the capability to open their systems to almost any network?
2. If a corporate policy is needed for deciding when the development, operation, and maintenance of an application should be distributed, who in the organization should take part in establishing such policy and why?
3. If a driving force behind distributed computing is the desire to give more people more control over their own work, how might an organization expect to benefit from such autonomy?
4. Self-managed teams often appear in a matrix organizational structure where employees have one boss for administrative (functional) matters and another boss for job-related (task) matters. What are the advantages and disadvantages that you might experience working in such a matrix environment?
5. Given that the freedom to select any software and hardware accelerated the growth of distributed computing, what are the risks that a coherent migration plan might limit this freedom and thus decelerate end user computing growth.
6. How can a client-server based architecture cause a firm to change or rethink its activities associated with a business process?
7. What is it that makes IT architecture a crucial component of business planning in an e-commerce environment?
8. Weill, et al, make a convincing case for appropriate infrastructure planning in larger organizations. What can be said about the need for such planning in smaller organizations
9. Considering the hierarchical, network, relational, and object data models, which one would be the better choice to support the distribution of data across a network and why?
10. Why might it be that the use of DBMS has only reduced to some extent (but not solved) the problems of inconsistent and redundant data in organizations?
11. Why is it that whenever data crosses organizational boundaries, its definition and format need to be standardized?
12. Given that Data warehouses do not usually contain the latest (i.e. real-time) data, what does this imply about their capability to support decision-making?
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