| questions | answers |
| 1. RFID tags are computer chips that facilitate inventory tracking by signaling their presence to scanners as they are moved throughout the accounting department | F |
| 2. Accounting functions such as general ledger were usually the last functions in an organization to be computerized | F |
| 3. Island of automation systems can lead to inefficiency and higher organizational costs | T |
| 4. Integrated systems were developed to solve the problems associated with islands of automation | T |
| 5. Amazon.com, the book seller, would be an example of a B2G model for ecommerce | F |
| 6. In B2B ecommerce, sales are made between companies | T |
| 7. If a manufacturer uses the Internet to sell to GM this would be an example of B2G ecommerce | F |
| 8. Disintermediation is the elimination of middle layers in the supply chain | T |
| 9. One of the benefits of ecommerce is that it allows companies to collect data about price elasticity directly from their customers | T |
| 10. Web pages and documents are programmed in HTTP | F |
| 11. The most common nonmerchant ecommerce companies are clearing houses and auctions | T |
| 12. Price elasticity measures the amount that demand rises or falls with changes in price | T |
| 13. Applications that provide a standardized way for programs to access one another remotely, without the use of proprietary software called Web services | T |
| 14. Because web services have a standardized service description, it is much easier to develop interorganizational information systems | T |
| 15. A datamining system uses statistical analysis to enable banking personnel to assess new loan applications | F |
| 16. Datamining systems use heuristic techniques to process data to find hidden patterns and relationships among the data | F |
| 17. Data about the data such as what the source was, its format, and constraints on it is called metadata | T |
| 18. If a part number is changed, but the data warehouse does not reflect this change the data is said to be inconsistent | T |
| 19. Cluster analysis is the most common kind of supervised data~mining | F |
| 20. Regressions analysis is the most common kind of unsupervised data~mining technique | F |
| Data Warehouse is an integrated, subject~orientated, time~variant, nonvolatile collection of data used in support of management decision~making processes | T |
| 21. The data warehouse consolidates data from multiple and diverse sources with diverse formats | T |
| 22. The data warehouse can contain data organized and summarized by topic, such as sales, marketing, finance, distribution, and transportation | T |
| 23. Data in the warehouse contain a time dimension so that they may be used as a historical record of the business | T |
| 24. Once data enter the data warehouse, they are never removed | T |
| 25. In MOLAP, data cube is created with predefined dimensions | T |
| OLAP is the use of a set of graphical tools that gives users with multidim views of their data and allows them to analyze the data using simple windowing techniques | F |
| 26. Data mining is a data warehouse that is limited in scope and size, whose data are obtained by selecting and summarizing data from the enterprise data warehouse | T |
