Comprehensive Study Guide for Management Information Systems and Business Intelligence
Core Information System Concepts and Definitions
- Profiling: The use of computers to combine data from multiple sources and create digital dossiers of detailed information on individuals.
- Privacy: The claim of individuals to be left alone, free from surveillance or interference from other individuals or organizations.
- Cookies: Small text files deposited on a computer hard drive when a user visits websites.
- Bugs: Software programs that keep a record of users’ online clickstreams.
- Database: A collection of data organized to serve many applications efficiently by centralizing the data and controlling redundant data.
- DBMS (Database Management System): Software that enables an organization to centralize data, manage them efficiently, and provide access to the stored data by application programs.
- Blockchain: Distributed database technology that enables firms and organizations to create and verify transactions on a network.
- Big Data: Data sets with volumes so huge that they are beyond the ability of typical DBMS to capture, store, and analyze.
- Firewall: Prevents unauthorized users from accessing private networks.
- Identity Theft: The theft of key pieces of personal information in order to obtain merchandise and services in the name of the victim or to obtain false credentials.
- Token: A physical device, similar to an identification card, that is designed to prove the identity of a single user.
- Phishing: Setting up fake websites or sending email messages that look like those of legitimate businesses to ask users for confidential personal data.
- Disintermediation: The removal of organizations or business process layers responsible for intermediary steps in a value chain.
- Electronic Data Interchange (EDI): The direct computer-to-computer exchange between two organizations of standard business transactions.
- FinTech: Start-up innovative financial technology firms and services.
- Wisdom of Crowds: The belief that large numbers of people can make better decisions about a wide range of topics or products than a single person or even a small committee of experts.
- Intelligent Agent: Software program that uses a built-in or learned knowledge base to carry out specific, repetitive, and predictable tasks for an individual user, business process, or software application.
- Robotics: The use of machines that can substitute for human movements as well as computer systems for their control, sensory feedback, and information processing.
- Virtual Reality (VR) Systems: Interactive graphics software and hardware that create computer-generated simulations that provide sensations that emulate real-world activities.
- Augmented Reality (AR): A technology for enhancing visualization. It provides a live direct or indirect view of a physical real-world environment whose elements are augmented by virtual computer-generated imagery.
- Informational Role: Managers act as the nerve centers of their organizations, receiving the most concrete, up-to-date information and redistributing it to those who need to be aware of it.
- Business Intelligence (BI): Applications and technologies to help users make better business decisions.
- Predictive Analytics: The use of data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events, such as the probability a customer will respond to an offer or purchase a specific product.
- Geographic Information System (GIS): System with software that can analyze and display data using digitized maps to enhance planning and decision-making.
Ethical and Social Issues in Information Systems (Chapter )
Core Concepts of Ethical Responsibility:
- Responsibility: This means that you accept the potential costs and obligations for the decisions you make.
- Accountability: A feature of social institutions that means mechanisms are in place to determine responsibility for an action.
- Liability: Related to legal systems, it extends the concept of responsibility to the area of law.
- Due Process: A societal practice of having laws that are known and understood, along with the ability to appeal to higher authorities to ensure that the laws are applied correctly.
Review Questions and Answers:
- What term describes accepting potential costs and obligations for decisions? Answer: Responsibility.
- What feature of social institutions determines responsibility for actions? Answer: Accountability.
- What practice involves known laws and the ability to appeal? Answer: Due process.
- If an employee justifies taking office supplies because it is a "tiny loss," but you argue that the loss would be massive if everyone did it, which principle are you invoking? Answer: Kant's Categorical Imperative.
- How would the Utilitarian Principle evaluate a man stealing to feed a starving family? Answer: His action is acceptable because the higher social value is the survival of the family.
- What is the definition of Immanuel Kant's Categorical Imperative? Answer: If an action is not right for everyone to take, it is not right for anyone to take.
- Which principle involves taking the action that produces the least harm? Answer: Risk Aversion Principle.
- What is the use of computers to assemble data from different sources for electronic dossiers? Answer: Profiling.
- What new data analysis technology finds hidden connections between data in disparate sources? Answer: NORA (Non-Obvious Relationship Awareness).
- What does the FTC FIP principle of Notice/Awareness state? Answer: Web sites must disclose their information practices before collecting data.
- Where are cookies created during website visits stored? Answer: On the user's computer.
- In which model of informed consent can personal information be collected until the consumer specifically requests otherwise? Answer: Opt-out.
- Which law protects the creators of intellectual property from having their work copied by others? Answer: Copyright law.
Foundations of Business Intelligence: Databases and Information Management (Chapter )
Traditional File Environment Issues: Traditional file management generates several problems, including data redundancy, data inconsistency, program-data dependence, inflexibility, poor security, and a lack of data sharing and availability.
Database Management Systems (DBMS): Software that permits centralization of data and data management so businesses have a single consistent source for data needs. The most critical feature is its ability to separate the logical and physical views of data.
Data Mining: A key tool of business intelligence that helps users analyze large amounts of data to find hidden relationships. It produces information such as:
- Associations: Occurrences linked to a single event.
- Sequences: Events linked over time.
- Classification: Patterns describing the group to which an item belongs.
Review Questions and Answers:
- Which of the following is NOT typically a problem in a traditional file environment? Answer: Data sharing (Note: Traditional environments struggle with data sharing).
- What is a characteristic or quality describing a database entity? Answer: Attribute.
- What creates confusion that hampers the integration of data from different sources? Answer: Data redundancy.
- What occurs when the same data is duplicated in multiple database files? Answer: Redundancy.
- What is it called when the same attribute in related data files has different values? Answer: Data inconsistency.
- A field identified as holding the unique identifier of a table's records is a: Answer: Primary key.
- What specialized language do programmers use to add and change data in a database? Answer: Data manipulation language.
- What does Big Data NOT refer to? Answer: Datasets with fewer than records.
- What technology would you use to analyze social media data for an online retailer? Answer: Hadoop.
- What is a data warehouse composed of? Answer: Historic and current internal data.
- Which is NOT a technology used to manage big data (according to specific context)? Answer: Cloud computing (Note: While used, others like Hadoop and in-memory computing are more specific tools listed).
- What tool enables users to obtain rapid online answers to ad-hoc questions? Answer: OLAP (Online Analytical Processing).
- What tool allows users to find hidden relationships in data? Answer: Data mining.
- Which tools analyze large unstructured data sets like emails or memos? Answer: Text mining.
Securing Information Systems (Chapter )
Key Security Concepts:
- Security: Policies, procedures, and technical measures used to prevent unauthorized access, alteration, theft, or physical damage to information systems.
- Controls: Methods, policies, and organizational procedures ensuring asset safety, accounting accuracy, and operational adherence to standards.
Review Questions and Answers:
- What prevents unauthorized access or theft? Answer: Security.
- What refers to methods used to ensure the safety of assets and reliability of records? Answer: Controls.
- Which of these does NOT pose a security threat to wireless networks? Answer: SQL injection attacks (Note: These target databases, while SSIDs and radio frequencies are specific to wireless).
- What is an independent computer program that copies itself over a network? Answer: Worm.
- What is it called when a salesperson clicks on a competitor's ads to drive up costs? Answer: Click fraud.
- The "Mitglieder" program downloaded in via ICQ is an example of what? Answer: Trojan horse.
- What is the term for redirecting a Web link to a different address? Answer: Spoofing.
- What type of malware is a keylogger? Answer: Spyware.
- How do hackers create a botnet? Answer: By causing other people’s computers to become "zombie" PCs following a master computer.
- What is an attack using numerous computers to inundate a network from many launch points? Answer: DDoS (Distributed Denial of Service).
- What are bogus wireless access points called? Answer: Evil twins.
- What are application controls? Answer: They can be classified as input controls, processing controls, and output controls.
- What analysis rates the likelihood of a security incident and its cost? Answer: Risk assessment.
E-Commerce: Digital Markets, Digital Goods (Chapter )
Unique Qualities of E-Commerce:
- Marketspace: A marketplace extended beyond traditional boundaries, removed from temporal and geographic locations.
- Richness: The integration of video, audio, and text marketing messages into a single consumer experience.
- Information Density: The total amount and quality of information available to all market participants.
- Information Asymmetry: Exists when one party in a transaction has more information than the other.
- Dynamic Pricing: Varying a product's price according to the supply situation of the seller.
- Disintermediation: Beneficial to consumers because it leads to lower costs.
Review Questions and Answers:
- What is a marketplace removed from temporal/geographic locations? Answer: Marketspace.
- What dimension integrates video, audio, and text? Answer: Richness.
- What quality results from lowered costs of information storage and improved data quality? Answer: Information density.
- What is the effort required to locate a suitable product? Answer: Search costs.
- What is information density? Answer: The total amount and quantity of information available to all market participants.
- Selling the same goods to different groups at different prices is: Answer: Price discrimination.
- What occurs when one party has more transaction information than the other? Answer: Information asymmetry.
- What is varying price based on supply? Answer: Dynamic (or flexible) pricing.
- Compared to digital markets, traditional markets have: Answer: Higher transaction costs.
- Primary benefit of disintermediation for consumers? Answer: Lower costs.
- What type of e-commerce is eBay? Answer: C2C (Consumer-to-Consumer).
- Which model creates a digital environment for people with like interests? Answer: Community provider.
- What do market creators do? Answer: Provide a digital environment where buyers and sellers can establish prices for products.
Managing Knowledge and Artificial Intelligence (Chapter )
Knowledge Management Systems (KMS):
- Enterprise-wide KMS: General purpose, firm-wide efforts to collect, store, and distribute digital content.
- Knowledge Work Systems (KWS): Specialized systems for engineers and scientists to create new knowledge.
- Intelligent Techniques: Tools like data mining, neural networks, and intelligent agents.
Key Technologies:
- 3D Printing: Also called additive manufacturing; it creates solid objects layer by layer.
- Learning Management System (LMS): Tools for management, delivery, tracking, and assessment of employee learning.
- Taxonomy: A scheme for classifying information so it can be easily accessed.
- Neural Networks: Find patterns and relationships in very large amounts of data.
Review Questions and Answers:
- Relationship between collaboration and knowledge management? Answer: Knowledge is useful only when shared with others.
- The flow of events or transactions captured by a system is: Answer: Data.
- Changing organizational behavior by responding to new experience is: Answer: Organizational learning.
- What are the three major types of KMS? Answer: Enterprise-wide KMS, knowledge work systems, and intelligent techniques.
- Systems for engineers and scientists are called: Answer: KWS.
- Which is NOT a component of an enterprise content management system? Answer: KWS (as it is a separate type of system).
- System used to archive digital video and sound clips? Answer: Digital asset management system.
- What is a MOOC? Answer: A type of online course.
- Tools for management and tracking of employee learning? Answer: Learning Management System (LMS).
- A scheme for classifying information? Answer: Taxonomy.
- Which is NOT true about printing? Answer: It is only usable to make prototypes (Note: It is used for production as well).
- Technology that enhances perception by combining live views with computer images? Answer: AR (Augmented Reality).
- Apple’s Siri is an example of: Answer: Intelligent agents.
Enhancing Decision Making (Chapter )
Types of Decisions:
- Structured: Follow a definite, repeatable procedure (e.g., operational day-to-day tasks).
- Unstructured: No well-understood or agreed-on procedure (e.g., deciding to introduce a new product line).
- Semistructured: Have elements of both.
Mintzberg’s Managerial Clasiffications:
- Interpersonal Roles: Figurehead, Leader, Liaison.
- Informational Roles: Nerve center, Monitor, Disseminator, Spokesperson.
- Decisional Roles: Entrepreneur, Disturbance Handler, Resource Allocator, Negotiator.
Review Questions and Answers:
- Decisions with no agreed-on procedure are: Answer: Unstructured.
- If you follow a definite procedure, the decision is: Answer: Structured.
- Which phase of decision making involves recognizing a problem? Answer: Intelligence.
- The role of "liaison" is: Answer: Interpersonal.
- The role of "entrepreneur" is: Answer: Decisional.
- Decisions for managing day-to-day activities involve: Answer: Operational intelligence.
- Which system displays data using digitized maps? Answer: GIS.
- What is a pivot table? Answer: A spreadsheet tool that displays two or more dimensions of data in a convenient format.
- Leading methodology for executives to understand important information? Answer: Balanced scorecard method.
- Management-defined measures used for internal evaluation? Answer: KPIs (Key Performance Indicators).
- Management methodology using strategy to generate targets and measure progress? Answer: BPM (Business Performance Management).
- Deciding whether to introduce a new product line is: Answer: Unstructured.
- Mintzberg’s three categories of roles are: Answer: Interpersonal, informational, and decisional.
Summary of Ethical Guidelines and Moral Dimensions
The Six Candidate Ethical Principles:
- The Golden Rule: Do unto others as you would have them do unto you.
- Immanuel Kant's Categorical Imperative: If an action is not right for everyone to take, it is not right for anyone.
- Descartes' Rule of Change: If an action cannot be taken repeatedly, it is not right to take at all.
- The Utilitarian Principle: Take the action that achieves the higher or greater value.
- The Risk Aversion Principle: Take the action that produces the least harm or the least potential cost.
- The Ethical "No Free Lunch" Rule: Assume that virtually all tangible and intangible objects are owned by someone else unless there is a specific declaration otherwise.
The Five Moral Dimensions of the Information Age:
- Information Rights and Obligations: What rights do individuals and organizations possess regarding information about themselves?
- Property Rights and Obligations: How will intellectual property rights be protected in a digital society?
- Accountability and Control: Who will be held liable for harm to information and property rights?
- System Quality: What standards of data/system quality should be demanded to protect rights and safety?
- Quality of Life: What values and cultural practices should be preserved in a knowledge-based society?
Applied Case Studies in MIS
Case 1: FashionToday (Privacy Breach):
- Scenario: Yara, a shopper at FashionToday, receives a text for a size-specific line (FTXL) and later an ad for weight-loss supplements from an affiliate (Herbs4Life).
- Evaluation: FashionToday violated Yara’s privacy by sharing her profile with third parties without specific subscription/consent, breaching the ethical bond between company and customer.
Case 2: Columbiana (E-Commerce Growth):
- Scenario: The government of an island nation wants to increase tourism and agricultural exports.
- Evaluation: An e-commerce presence allows millions of web users to see vacation offerings and easily find hotel rates/book reservations, significantly increasing visibility and market reach.
Case 3: U.S. Pharma Corp (Knowledge Portal Design):
- Scenario: A global pharmaceutical firm needs to share research with internal sites and external bodies (FDA, WHO).
- Solution Elements: The home page must be user-friendly, precise, and attractive. Key design tenets include simplicity, readability, easy navigation, consistency, and appropriate use of color and design.
Case 4: Subaru (Data-Driven Decisions):
- Scenario: Dealerships track car mileage for service reminders and other purposes.
- Corporate Level Decisions: Management can determine the mileage performance of cars (valuable to customers), track the condition of manufactured products, and gather feedback.
- Local Level Decisions: Dealerships can schedule service appointments and remind customers of safety/pollution tests to ensure vehicle maintenance.