Public Enterprise Management Ch17. MIS — ERP·SCM·CRM·Big Data·AI
1. MIS Overview
MIS (Management Information System): A system that collects, processes, stores, and distributes data to support management decision-making.
Stages of Information System Evolution
| Generation | System | Focus |
|---|---|---|
| 1st Generation | TPS (Transaction Processing System) | Routine transaction automation |
| 2nd Generation | MIS (Management Information System) | Management reports |
| 3rd Generation | DSS (Decision Support System) | Semi-structured decision-making |
| 4th Generation | EIS (Executive Information System) | Executive strategic support |
| 5th Generation | AI/Knowledge-Based System | Expert systems, AI |
Systems by Decision-Making Type
| Type | Characteristics | System |
|---|---|---|
| Structured | Repetitive, clear rules | TPS, MIS |
| Semi-structured | Some rules exist | DSS |
| Unstructured | Creative, uncertain | EIS, AI |
2. Integrated Enterprise Systems
ERP (Enterprise Resource Planning)
A system that integrally manages all corporate resources (production, purchasing, accounting, human resources, logistics) in real-time.
Characteristics: Single database / Real-time information sharing / Modular structure
ERP Module Examples: Financial accounting / Management accounting / Human resources / Production planning / Purchasing / Sales / Logistics
ERP Adoption Effects: Elimination of work duplication, data consistency, improved decision-making speed. ERP Adoption Risks: Adoption costs, user resistance, customization limitations.
SCM (Supply Chain Management)
Integrally optimizes the entire supply chain from raw material suppliers → manufacturers → distributors → final customers.
SCM Goals: Minimize total supply chain costs + Maximize customer service levels.
VMI (Vendor-Managed Inventory): Suppliers directly manage customer inventory → Mitigates the bullwhip effect.
CRM (Customer Relationship Management)
Integrates and analyzes customer information to provide customized services and improve customer loyalty.
CRM Types
- Operational CRM: Sales, marketing, and service automation
- Analytical CRM: Customer data analysis and segmentation
- Collaborative CRM: Cross-channel integrated communication
KMS (Knowledge Management System)
A system that collects, stores, shares, and utilizes tacit and explicit knowledge within an organization.
Nonaka’s SECI Model: Tacit knowledge ↔ Explicit knowledge conversion
- Socialization (S) → Externalization (E) → Combination (C) → Internalization (I)
3. Big Data and Analytics
Big Data 3V (Gartner)
| V | Description |
|---|---|
| Volume | Large-scale data in TB/PB units |
| Velocity | Real-time or high-speed processing |
| Variety | Structured, semi-structured, and unstructured data |
Additional Vs: Veracity, Value
Types of Data Analytics
| Type | Description | Value |
|---|---|---|
| Descriptive Analytics | Summary of past data | Low |
| Diagnostic Analytics | Identifying causes | Medium |
| Predictive Analytics | Forecasting the future | High |
| Prescriptive Analytics | Suggesting optimal actions | Highest |
4. Cloud Computing
Provides computing resources (servers, storage, software) as a service over the internet.
| Service Model | Description | Examples |
|---|---|---|
| IaaS | Infrastructure provision | AWS EC2, Azure |
| PaaS | Platform provision | Google App Engine |
| SaaS | Software provision | Office 365, Salesforce |
Deployment Models: Public / Private / Hybrid
5. Digital Transformation Technologies
AI (Artificial Intelligence)
- Machine Learning: Learning patterns from data
- Deep Learning: Unstructured data processing based on neural networks
- NLP: Natural Language Processing (chatbots, translation)
RPA (Robotic Process Automation)
Software robots automatically process repetitive, rule-based tasks. Advantages: Rapid adoption, labor cost reduction, error reduction.
IoT (Internet of Things)
Connecting sensors and networks to physical objects → Data collection and control. Smart Factory: Production optimization using IoT + AI + Big Data.
Blockchain
Distributed ledger technology — Transaction records are distributed and stored across multiple nodes, preventing tampering. Applications: Smart contracts, supply chain tracking, digital assets.
Core Summary (Frequently Tested Keywords)
| Keyword | Related Theory |
|---|---|
| TPS→MIS→DSS→EIS | 4 stages of information system evolution |
| ERP | Integrated enterprise resource management |
| SECI | 4 stages of knowledge conversion (Nonaka) |
| Big Data 3V | Volume, Velocity, Variety |
| IaaS/PaaS/SaaS | Cloud service models |
| RPA | Repetitive task software automation |
| Bullwhip Effect | SCM demand distortion phenomenon |
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