Enterprise Information Systems
Review Questions
Course Introduction
Enterprise Information Systems explores the design, implementation, and management of large-scale information systems that support the operations, management, and decision-making functions within organizations. The course covers core concepts such as enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM), and business intelligence. Students will analyze how integrated systems enhance information sharing, facilitate business process improvement, and provide organizations with competitive advantages. Additionally, the course examines current trends in enterprise systems, challenges in system integration, and issues related to data security, privacy, and governance.
Recommended Textbook
Decision Support and Business Intelligence Systems 9th Edition by Efraim Turban
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Chapter 1: Decision Support Systems and Business Intelligence
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Q1) Decision support systems are computer-based support systems for management decision makers who deal with ________ problems.
Answer: semistructured
Q2) Managers,especially those at high managerial levels,are primarily hands-on problem solvers.
A)True
B)False
Answer: False
Q3) Dashboards and information portals are data visualization tools.
A)True
B)False
Answer: True
Q4) Business intelligence's major objective is to enable ________ access to data,enable manipulation of these data,and to provide business managers and analysts the ability to conduct appropriate analysis.
Answer: interactive
Q5) The process of business intelligence is based on the ________ of data to information,then to decisions,and finally to actions.
Answer: transformation
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Chapter 2: Decision Making, Systems, Modeling, and Support
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Q1) ________ may also involve simply bounding the search for an optimum by considering fewer criteria or alternatives or by eliminating large portions of the problem from evaluation.
Answer: Suboptimization
Q2) Different decision styles require different types of support.A major factor that determines the type of required support is whether the decision maker is ________.
A) autocratic
B) consultative
C) an individual or a group
D) democratic
Answer: C
Q3) Problem ________ is the conceptualization of a problem in an attempt to place it in a definable category,possibly leading to a standard solution approach.
Answer: classification
Q4) Most Web-based DSS are focused on improving decision efficiency.
A)True
B)False
Answer: False
Page 4
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Chapter 3: Decision Support Systems Concepts,
Methodologies, and Technologies:
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Q1) A DSS can be custom-made by assembling the system from a variety of tools including databases,Web servers and clients,and analytical engines,often from several vendors.
A)True
B)False
Answer: True
Q2) Most data mining applications include intelligent systems,such as artificial neural networks (ANN)and rule induction methods for expert systems (ES),to search for potentially profi ________ in data.
A) samples
B) patterns
C) sections
D) trends
Answer: B
Q3) ________ is a robust DSS modeling language.
A) Ruby on Rails
B) Planners Lab
C) Sybase
D) OLAP
Answer: B
Page 5
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Chapter 4: Modeling and Analysis
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Q1) Which of the following is a key element in most DSS and a necessity in a model-based DSS?
A) Database
B) Analytical model
C) Modeling
D) Business intelligence
Q2) What is an influence diagram? Name a benefit of influence diagrams.
Q3) Monte Carlo simulation is a type of ________ simulation.
A) deterministic
B) probabilistic
C) exact
D) analytical
Q4) There is a trend toward developing and using Web tools and software to access and run software to perform modeling,optimization,and simulation,even though this has complicated the application of many models to real-world problems.
A)True
B)False
Q5) ________ is a measure of how difficult a problem is in terms of its formulation for optimization,its required optimization effort,or its stochastic nature.
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Chapter 5: Data Mining for Business Intelligence
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Q1) List five of the data mining mistakes often made in practice.
Q2) List and briefly describe three of the major types of patterns that data mining attempts to identify.
Q3) Data mining is a way for companies to develop business intelligence from their data to gain a better understanding of their customers and operations and to solve complex organizational problems.
A)True
B)False
Q4) Technically speaking,data mining is a process that uses statistical,mathematical,and artificial intelligence techniques to extract and identify useful information and subsequent knowledge from large sets of data.
A)True
B)False
Q5) Data mining requires a separate,dedicated database.
A)True
B)False
Q6) Explain the simple split methodology for classification.Explain the advantages of the k-fold cross-validation methodology over the simple split methodology.
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Chapter 6: Artificial Neural Networks for Data Mining
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Q1) Typically,the input-output transformation process at the individual neuron level is performed in a linear fashion.
A)True
B)False
Q2) The artificial neurons receive the information from external input stimuli,perform a ________ on the inputs,and then pass on external outputs.
Q3) A general Hopfield network is a single large layer of neurons with total interconnectivity.
A)True
B)False
Q4) ANN can also be used as simple biological models to test ________ about biological neuronal information processing.
A) hypotheses
B) assumptions
C) theory
D) proposition
Q5) List the procedures of the learning algorithm.
Q6) The ________ is the training procedure used by an artificial neural network.
Q7) A(n)________ network represents a brain metaphor of information processing.
Page 8
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Chapter 7: Text and Web Mining
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Q1) Web pages consisting of unstructured textual data coded in HTML or XML,hyperlink information,and logs of visitors' interactions provide rich data for effective and efficient knowledge discovery:
A)True
B)False
Q2) A ________ is one or more Web pages that provide a collection of links to authoritative pages,reference sites,or a resource list on a specific topic.
A) hub
B) hyperlink-induced topic search
C) spoke
D) community
Q3) What are three of the challenges for effective and efficient knowledge discovery posed by the Web?
Q4) ________ is a technique used to detect favorable and unfavorable opinions toward specific products and services using textual data sources,such as customer feedback in Web postings and the detection of unfavorable rumors.
Q5) A(n)________ is one or more Web pages that provide a collection of links to authoritative pages.
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Chapter 8: Data Warehousing
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Q1) An ________ is a large-scale data warehouse that is utilized across the enterprise for decision support.
Q2) ________ is the process of loading and provides data via the data warehouse as they become available.
Q3) Data warehouses contain vast amounts of internal data but are limited because they do not contain external data.
A)True
B)False
Q4) Which of the following is an evolving tool space that promises real-time data integration from a variety of sources,such as relational databases,Web services,and multidimensional databases?
A) Information integration
B) Data management integration
C) SQL data integration
D) Enterprise information integration (EII)
Q5) ________ is a subset that is created directly from the data warehouse.It has the advantages of using a consistent data model and providing quality data.
Q6) List four characteristics of a data warehouse.
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Chapter 9: Business Performance Management
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Q1) What are the characteristics of well-designed dashboards and scorecards?
Q2) ________ refers to both the logical and physical design of a system.
Q3) Lean manufacturing focuses on the elimination of waste or non-value-added activities,whereas Six Sigma focuses on reducing the variation or improving the consistency of a process.
A)True
B)False
Q4) Describe the common tasks in strategic planning process.
Q5) The term business performance management (BPM)refers to the business processes,methodologies,metrics,and technologies used by enterprises to measure,monitor,and manage business performance.
A)True
B)False
Q6) Logically speaking,a BPM system consists of three basic parts,or layers.Which of the following is not one of those parts or layers?
A) BPM applications
B) Dashboards and scorecards
C) Information hub
D) Source systems
11
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Chapter 10: Collaborative Computer-Supported Technologies
and
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Q1) In order for collective intelligence (CI)to happen,four features are needed.Which of the following is not one of those features?
A) acting locally
B) openness
C) peering
D) sharing
Q2) The success of a GSS depends mostly on its ________.
Q3) ________ is the use of electronic communication that allows two or more people at different locations to have a simultaneous conference.
Q4) Describe the major steps in a standard GSS.
Q5) A major characteristic of GDSSs is that they contain built-in mechanisms that discourage development of negative group behaviors,such as destructive conflict miscommunication and groupthink.
A)True
B)False
Q6) The Windows Meeting Space client is included in the Windows operating system.
A)True
B)False
12
Q7) Describe the steps in the process model for implementing a CPFR project.
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Chapter 11: Knowledge Management
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Q1) A learning organization is one that performs these four main activities well: systematic problem solving,creative experimentation,learning from the best practices of others,and transferring knowledge quickly and efficiently throughout the organization. A)True
B)False
Q2) ________ are information technologies that together make knowledge management available throughout an organization.
Q3) The ability of an organization to learn,develop memory,and share knowledge is dependent on its ________,which is a pattern of shared basic assumptions.
Q4) The practice approach to knowledge management assumes that a great deal of organizational knowledge is ________ in nature.
Q5) Describe the knowledge management system cycle steps.
Q6) Define tacit knowledge.
Q7) Knowledge evolves over time with ________,which puts connections among new situations and events in context.
Q8) Identify ways in which Artificial Intelligence helps knowledge management.
Q9) Define explicit knowledge.
13
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Chapter 12: Artificial Intelligence and Expert Systems
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Q1) Describe abilities that are signs of intelligence.
Q2) One does not have to rethink completely what to do every time a similar problem is encountered,when using ________.
A) symbolic database
B) knowledge base
C) algorithms
D) rules of thumb
Q3) Which of the following is used by a nonexpert to obtain expert knowledge and advice?
A) Query environment
B) Development environment
C) consultation environment
D) Blackboard
Q4) Describe fuzzy logic.Contrast fuzzy logic with Boolean logic.
Q5) The solution of genetic algorithms is represented as a ________ for a specific problem.
A) cell
B) gene
C) DNA
D) chromosome
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Chapter 13: Advanced Intelligent Systems
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Q1) Which of the following is not a relevant observation on how learning relates to intelligent systems?
A) Automated learning systems are anchored in a formal bedrock; thus, their implications are well understood.
B) Automated learning systems demonstrate intriguing learning behaviors.
C) Although AI sometimes matches human-level learning capabilities, it is not able to learn as well as humans or in the same way that humans do.
D) A common thread running through most AI approaches to learning is the manipulation of symbols rather than numeric information.
Q2) Crossover means choosing a random position in the string and exchanging the segments ________ of this point with another string.
A) to the right
B) to the left
C) to both left and right
D) to either left or right
Q3) Fuzzy sets use a spectrum of possible values called ________.
Q4) Describe the genetic operators of Genetic Algorithm in reproduction.
Q5) What are genetic algorithms?
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Chapter 14: Management Support Systems: Emerging
Trends and Impacts
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Q1) Web 2.0 is not only changing what is on the Web,but also how it works.
A)True
B)False
Q2) Computer technology has already changed our world,and much more change is anticipated.What are some of the major areas of social impact?
Q3) Describe three representative characteristics of the Web 2.0 environment.
Q4) The success of today's highly volatile perishables supply chains depends on the level and the timeliness of ________.
A) product visibility
B) product data
C) supply chain management
D) RFID
Q5) Social network analysis (SNA)software is used to identify,represent,analyze,visualize,or simulate network nodes and edges from various types of input data.
A)True
B)False
Page 16
Q6) ________ computing offers the possibility of using software,hardware,platform,and infrastructure,all on a service-subscription basis.
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