Management Information Systems - Comprehensive University Lecture Comprehensive Notes from Weekly Lectures and Comprehensive Transcript Sections
Management Information Systems: Foundation and Organizational Role
Lecturer: Öğr. Gör. Berk Ayvaz, Istanbul Ticaret University, Department of Industrial Engineering.
The Information Age Development:
Ancient Age: Marked by the invention of writing.
Middle Ages: Marked by the Migration of Tribes.
New Age: Marked by the Conquest of Istanbul.
Near Age: Marked by the French Revolution.
Information and Technology Age: Characterized by an increased need for information and information becoming the largest resource.
Alvin Toffler Concept: The famous German author Alvin Toffler states, "Information has become the commodity of the past." Here, "commodity" (Emtea) refers to goods that earn money.
Modern Value: Today, the information carried by a product often holds more value than the material substance of the product itself. Labor, money, culture, and economy are all embedded within information.
The Role of MIS in Modern Business
Investment Trends: Businesses invest millions in information systems, software, and communication tools.
In 1980, Management Information Systems (MIS/YBS) investments constituted of all total investments.
By 2010, this ratio increased to approximately .
Organizational Inputs:
Labor.
Capital.
Raw Materials.
Management Information Systems (MIS).
Proactive Approach: In a globalizing world, businesses must sense changing customer demands in advance (Proactive rather than Reactive).
Competitive Advantages: To survive and increase satisfaction, businesses must:
Respond quickly to customer requests via Customer Relationship Management (CRM).
Operate with minimum inventory using Just-in-Time (JIT) and Lean Production.
Maintain high levels of productivity.
Current State Analysis Statistics (2010):
Over million people follow newspapers online as physical readership declines.
million people watch online videos daily; million create blogs.
Facebook visited by million monthly users in the USA and over million worldwide.
The internet significantly reduces transaction costs and allows consumers to access quality/price data instantly.
Innovations in Management Information Systems
Technology Innovations:
Cloud Computing Platform: Emerged as a major innovation used in businesses.
Software as a Service (SaaS): Growing rapidly as a delivery model.
Mobile Digital Platform: Competing with PCs for business dominance.
Management Innovations:
Increased use of Business Intelligence (BI) applications.
Managers using online collaboration and social networking software for coordination.
Increase in virtual meetings.
Business Innovations:
Growing use of Web 2.0 applications.
Recreation of business value.
Popularity of "Home Office" applications.
Globalization and the "Flat World"
Historical Context: Pythagoras (MÖ 500s) and Galileo Galilei argued for a round world. Ferdinand Magellan proved it.
The Flat World Concept: Thomas Friedman (2005) wrote that the world is "flat" due to globalization. Businesses are no longer local; they are global structures where competition exists in open systems without borders.
Impact on MIS:
Transaction costs have dropped globally due to the internet.
Firms can reach cheap raw material suppliers anywhere.
Example: Ebay earned half of its profit from international activities in 2011.
The Digital Business
Business Processes: Interrelated tasks and behaviors performed under a specific order and coordination to achieve organizational goals (e.g., creating an order, hiring, marketing).
Digital Business Definition: An organization where nearly all significant business relationships with customers, suppliers, and employees are digitally supported. All assets are managed through digital tools.
Digital vs. Classical Business:
Digital: Faster environment tracking, more flexible, global opportunities, 24/7 working hours via MIS, location-independent.
Strategic Business Goals for using IS:
High Productivity.
New Products, Services, and Business Models.
Supplier and Customer Intimacy.
Improved Decision Making.
Competitive Advantage.
Survival.
Detailed Strategic Goals
High Productivity: MIS increases output levels while decreasing input levels.
Formula:
Case Study (WalMart): Used "Retail Link" to digitally integrate suppliers. When a customer buys a product, stock data is instantly sent to the supplier for immediate replenishment. Sales in 2010 reached billion dollars.
New Products/Models: Defining how a company produces, sells, and delivers a product. Example: The shift from cassettes/CDs to online MP3 sales.
Customer/Supplier Intimacy: Analyzing shopping data to offer personalized ads and suggestions. Monitoring social media likes/shares to create specific products.
Improved Decision Making: Managers often decide based on guesses or "zan" (assumptions). IS provides filtered, analyzed, and summarized information, reducing risk.
Case Study (Boeing): Used MIS for aircraft model production decisions.
Survival:
Case Study (Citibank): Introduced ATMs in 1977. Competitors had to adopt ATMs just to stay in the game.
Butterfly Effect: In a global world, a small change elsewhere can cause a "hurricane" for a local business (e.g., FED chairman sneezing causing an economic crisis in the East).
Data, Information, Knowledge, and Wisdom
Data: Raw facts representing events in businesses or their physical environments, before being processed into a form humans can understand.
Information: Data that has been shaped into a form that is meaningful and useful to human beings.
Knowledge: Information combined with experience and context (The Information Pyramid).
Wisdom (Hikmet): Experiential knowledge formed after solving a problem. Metaphor: "Knowledge is knowing what honey is; Wisdom is eating the honey and being able to describe it after."
System Components:
Input: Collecting raw data.
Process: Converting raw data into a meaningful form.
Output: Transferring processed info to people or activities.
Feedback: Output returned to members of the organization to help evaluate or correct the input stage.
Dimensions of Information Systems
Organization: Key elements include people, structure, processes, politics, and culture. Authority is arranged hierarchically:
Strategic Level: Senior Managers (Long-term decisions).
Management Level: Middle Managers (Tactical decisions).
Operational Level: Operational Managers/Workers (Day-to-day activities).
Knowledge Level: Knowledge and data workers.
Management: Tasked with making sense of situations, making decisions, and creating action plans.
Technology (IT):
Hardware: Physical equipment (PCs, storage, mobile, telecomm).
Software: Pre-programmed instructions (Windows, SAP, ERP, Office).
Data Management Technology: Software managing data on physical storage media.
Networking and Telecommunications: Physical devices and software linking hardware (Internet, Intranets, Extranets).
World Wide Web: A service provided by the internet using universal standards for storing and retrieving information in page format.
Complementary Assets and the Value Chain
Economic View: IS is part of a series of value-adding activities for acquiring, transforming, and distributing information to improve performance.
Complementary Assets: Required investments to derive value from a primary investment. Example: A car needs roads and gas stations to be valuable. A sycamore tree stays small in a pot; it needs wide, fertile soil.
Types of Complementary Assets:
Organizational: Supportive culture, efficient business processes, decentralized authority.
Managerial: Strong senior management support for IT, incentives for innovation, teamwork environments.
Social: Internet/telecomm infrastructure, standards (government/private), laws/regulations.
Contemporary Approaches to Information Systems
Technical Approach: Emphasizes mathematically based models. Fields: Computer Science, Management Science, Operations Research (optimization of transport, stock, etc.).
Behavioral Approach: Focuses on psychological, sociological, and economic impacts. How groups affect system development and how systems change cost structures.
Socio-Technical View: Optimal organizational performance is achieved by jointly optimizing both the social and technical systems used in production.
Types of Information Systems by Level
Transaction Processing Systems (TPS): Perform and record daily routine transactions necessary to conduct business (e.g., sales, receipts, payroll). They answer routine questions like "What is the stock level?"
Failure in TPS can cause massive losses (e.g., luggage sent to the wrong country at airports).
Management Information Systems (MIS): Provide middle managers with reports on the organization’s current performance. Summarize data from TPS. Usually not flexible and focus on routine questions.
Decision Support Systems (DSS): Support non-routine decision making. Use external information (energy prices, inflation) and internal data. Perform "What-if" analysis (e.g., "What if we double sales in December?").
Business Intelligence (BI): Current term for software tools and databases used to access and analyze data to help managers make better decisions. Includes data mining and predictive analysis.
Executive Support Systems (ESS/ÜYDS): Address non-routine decisions requiring judgment, evaluation, and insight. Present data as a "Digital Dashboard" with graphs and charts representing key performance indicators.
Expert Systems: Imitate human experts' reasoning to solve complex problems. Components: Knowledge Base, Inference Mechanism, and User Interface.
Enterprise Applications
Enterprise Systems (ERP): Integrate business processes in manufacturing, finance, accounting, sales, marketing, and HR into a single software system. Uses a central database.
Evolution: MRP (1960s) -> MRP II (1970s) -> ERP (1980s) -> Extended ERP (1990s) -> ERP II (2000s).
Supply Chain Management (SCM): Manage relationships with suppliers to optimize planning, sourcing, manufacturing, and delivery. Aims to get the right product to the right place at the lowest cost.
Customer Relationship Management (CRM): Coordinate all business processes that deal with customers in sales, marketing, and service to optimize revenue, customer satisfaction, and retention.
Knowledge Management Systems (BYS): Enable organizations to better manage processes for capturing and applying knowledge and expertise.
Intranets and Extranets:
Intranet: Internal website accessible only by employees.
Extranet: Internal website accessible by authorized vendors and suppliers.
E-Business, E-Commerce, and E-Government
E-Business: Use of digital technology and the internet to execute major business processes.
E-Commerce: Part of e-business dealing with buying and selling goods and services over the internet.
E-Government: Application of the internet and networking technologies to digitally enable government and public sector agencies' relationships with citizens, businesses, and other arms of government.
Wikis: Websites that allow users to easily add and edit text and graphics without knowledge of programming (e.g., Wikipedia).
The Information Systems Department and Roles
Programmers: Highly trained technical specialists who write software instructions.
System Analysts: Liaison between the IS group and the rest of the organization; translate business problems into information requirements.
Information Systems Managers: Leaders of programmers, analysts, and project managers.
Chief Information Officer (CIO): Senior manager overseeing the use of IT in the firm.
Chief Security Officer (CSO): Responsible for IS security and enforcing the firm's information security policy.
Chief Privacy Officer (CPO): Responsible for ensuring the company complies with existing data privacy laws.
Chief Knowledge Officer (CKO): Responsible for the firm's knowledge management program.
Ethical and Social Issues in Information Systems
Recent Ethical Failures:
Lehman Brothers (2008): Used IS and accounting deceptively to hide bad investments.
Siemens (2009): Paid over billion in fines for bribing officials; payments were hidden from accounting reports.
Pfizer, Eli Lilly, AstraZeneca (2009): Fined billions for manipulating clinical trial results and false claims.
Five Moral Dimensions of the Information Age:
Information Rights and Obligations.
Property Rights and Obligations (Intellectual Property).
Accountability and Control.
System Quality.
Quality of Life.
NORA (Non-Obvious Relationship Awareness): Data analysis technology that can take information from disparate sources (employment, phone records, customer lists) and find obscure hidden connections to identify criminals.
Key Ethical Concepts:
Responsibility: Accepting potential costs/duties of decisions.
Accountability: Mechanisms to determine who took action.
Liability: Legal feature of political systems to recover damages.
Due Process: Right to ensure laws are applied correctly.
Ethical Principles:
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.
Utilitarian Principle: Take the action that achieves the higher or greater value.
Risk Aversion Principle: Take the action that produces the least harm or cost.
Internet Privacy Issues:
Cookies: Small text files placed on a hard drive when a user visits a site to track return visits.
Spyware: Software that installs itself secretly to report user activity.
Web Beacons: Tiny, invisible graphic objects embedded in emails/web pages to monitor behavior (e.g., Google and Yahoo use these extensively).
P3P (Platform for Privacy Preferences): Standard for communicating a website's privacy policy to users and comparing it with user preferences.
Intellectual Property Rights:
Trade Secrets: Intellectual work product used for business, not in the public domain.
Copyright: Protection for years after the author's death (or years for legal entities from publication).
Patents: Grant an exclusive monopoly on the ideas behind an invention for years.
IT Infrastructure
Definition: Shared technology resources that provide the platform for the firm's specific information system applications.
Evolution Eras:
Mainframe/Minicomputer (1959-present): IBM 1401 and 7090. IBM 360 in 1965 introduced time-sharing and virtual memory.
Personal Computer (1981-present): Started with the IBM PC. Microsoft Windows became the standard.
Client/Server (1983-present): Clients (PCs) connected to powerful Servers. Two-tier vs. Multi-tier architectures.
Enterprise Computing (1992-present): Linking disparate networks using standards like TCP/IP.
Cloud and Mobile Computing (2000-present): Network-based access to a pool of computing resources.
Infrastructure Drivers:
Moore's Law: Computing power doubles every months; costs halve.
Law of Mass Digital Storage: Amount of digital information is roughly doubling every year.
Metcalfe's Law: Value of a network grows exponentially with the number of members.
Operating System Market Share (2010/2011 context): Microsoft held , Unix/Linux held .
TCP/IP (Transmission Control Protocol/Internet Protocol): The standard for linking different hardware and software platforms.
Database Management and Business Intelligence
Data Hierarchy: Bit -> Byte (8 bits) -> Field (group of bytes) -> Record (group of fields) -> File (group of records) -> Database (group of files).
Relational DBMS: Represents data as two-dimensional tables (relations). Examples: MySQL (open source), Oracle, MS SQL Server, MS Access (for small scale, up to records or MB).
Primary Key: Unique identifier for a record (e.g., Supplier No).
Foreign Key: Field in one table that is the primary key in another, used for linking.
Normalization: Process of streamlining complex groups of data to minimize redundancy and many-to-many relationships.
Data Warehouse: Database that stores current and historical data of potential interest to managers throughout the company.
Data Mart: Subset of a data warehouse in which a summarized or highly focused portion of the organization's data is placed in a separate database for a specific population of users.
Online Analytical Processing (OLAP): Supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions (Product, Region, Time).
Data Mining: Finds hidden patterns and relationships in large databases to predict future behavior.
Types of info found: Associations, Sequences, Classifications, Clusters (e.g., grouping customers for campaigns).
Text and Web Mining: Analyzing unstructured data (emails, surveys) and patterns from the World Wide Web.
Networking and Telecommunications
Computer Network Components: Client, Server, Network Interface Card (NIC), Connection medium (Coaxial, Fiber, or Wireless), Operating System (NOS), Hub, Switch, and Router.
Switches vs. Hubs: Hubs send data to all devices; Switches can filter and direct data to a specific destination.
Packet Switching: Slicing digital messages into parcels called packets, sending them along different communication paths, and reassembling them at the destination.
Network Types:
LAN (Local Area Network): Up to meters.
CAN (Campus Area Network): Up to meters.
MAN (Metropolitan Area Network): A city or metro area.
WAN (Wide Area Network): Regional, transcontinental, or global scale.
IP Addressing: Each computer on the internet is assigned a unique IP address (currently 32-bit for IPv4). IPv6 is being developed with 128-bit addressing to provide over unique addresses.
VoIP (Voice over IP): Delivers voice information in digital form using packet switching, avoiding local/long-distance phone charges.
RFID (Radio Frequency Identification): Uses tiny tags with embedded microchips to transmit data about an item to a reader. Tags can be Active (battery powered, long range) or Passive (powered by reader's radio frequency, cheap, short range).
Information Systems Security
Security: Policies, procedures, and technical measures used to prevent unauthorized access, alteration, theft, or physical damage to IS.
Malware Types:
Virus: Software program that attaches itself to other software or data files.
Worm: Independent software program that copies itself across a network without human intervention (e.g., Conficker, Storm, MyDoom).
Trojan Horse: Software that appears benign but does something unexpected (allows a "back door" for hackers).
SQL Injection: Exploits vulnerabilities in poorly coded web applications to introduce malicious code into a company's systems.
Specific Attacks:
DoS (Denial of Service): Flooding a server with thousands of false requests to crash the network.
Phishing: Setting up fake websites or sending emails that look legitimate to ask for confidential data.
Pharming: Redirecting users to a bogus web page, even when the individual types the correct address into the browser.
Evil Twins: Wireless networks that pretend to offer trustworthy Wi-Fi (in airports/hotels) to steal passwords.
Case Study (Mariposa Botnet): In 2010, infected million computers worldwide, including half of the Fortune 1000 companies and major banks, to steal credit card info.
Case Study (AP Twitter Hack): A fake tweet about a White House explosion caused the S&P 500 to drop briefly, costing investors billion dollars.
Advanced CRM and Net Promoter Score (NPS)
Net Promoter Score (NPS): A method to measure customer loyalty based on the answer to "Would you recommend us to a friend?"
Categories:
Promoters (9-10): Mutually loyal and enthusiastic fans.
Passives (7-8): Satisfied but unenthusiastic; open to competitors.
Detractors (1-6): Unhappy customers who can damage the brand via negative word-of-mouth.
Formula:
Scores range from to . Any score above is positive; above is considered excellent.
Operational vs. Analytical CRM:
Operational: Customer-facing applications like sales force automation and call center support.
Analytical: Analyzes customer data generated by operational CRM to provide information for improving business performance.
Churn Rate: Measures the number of customers who stop using or purchasing products/services from a company. Fundamental indicator of growth/decline.