Learning Objectives
By the end of this chapter, you will be able to:
- Briefly describe the evolution of information systems in business.
- Define and provide an example of a Transaction Processing System (TPS).
- Define and provide an example of a Management Information System (MIS).
- Define and provide an example of a Decision Support System (DSS).
- Describe Executive Support Systems (ESS) and other specialized systems.
- Explain how the different systems are related.
The Evolution of Information Systems
Information systems have evolved significantly over the past several decades. Early systems were focused on automating basic, repetitive tasks. As technology became more powerful and less expensive, systems evolved to provide managers with better information for decision-making, and eventually to become strategic tools for gaining a competitive advantage.
| Period | Main focus | Typical systems |
|---|---|---|
| 1950s–1960s | Data processing; automating clerical work | Payroll, accounting (TPS) |
| 1970s | Management reporting | MIS reports |
| 1980s | Decision support and personal computing | DSS, spreadsheets, ESS |
| 1990s | Integration and strategic advantage | ERP, e-commerce, CRM |
| 2000s–present | Digital business, data, and AI | Cloud, mobile apps, business intelligence, AI |
Types of Information Systems
Organizations use different types of information systems to serve different levels and functions. A common way to classify them is based on the organizational level they support.
1. Transaction Processing Systems (TPS)
- Purpose: To capture and process the data from the day-to-day, routine business transactions.
- Users: Frontline staff (e.g., cashiers, bank tellers).
- Characteristics: High volume of transactions, focus on speed and accuracy.
- Example: A Point-of-Sale (POS) system in a retail store that records each sale and updates inventory.
- Other examples: ATM transactions, airline and bus ticket booking, payroll processing, college fee collection.
2. Management Information Systems (MIS)
- Purpose: To provide managers with summarized reports from the data captured by the TPS. MIS are used for monitoring and controlling the business.
- Users: Mid-level managers.
- Characteristics: Provides routine summary reports (e.g., weekly sales reports), focuses on past and present data.
- Example: A report that summarizes the total weekly sales for each department in a store. This helps the store manager identify which departments are performing well.
- Types of reports: scheduled (monthly sales report), exception (list of branches below target), and on-demand (a report requested when needed).
3. Decision Support Systems (DSS)
- Purpose: To support non-routine, complex decision-making. A DSS provides an interactive environment where managers can analyze data and model different scenarios.
- Users: Managers and business analysts.
- Characteristics: Interactive, allows for “what-if” analysis, uses both internal and external data.
- Example: A system that allows a manager to see how a change in product price might affect sales and profitability.
Worked “what-if” example: a shop sells 1,000 units a month at Rs 500, with a cost of Rs 350 per unit, earning Rs 150,000 profit. A DSS model asks: what if the price drops to Rs 450 and sales rise 30%? New profit = 1,300 × (450 − 350) = Rs 130,000 — lower, so the price cut is not worthwhile unless sales rise by more than about 50% (1,500 × 100 = Rs 150,000 just to break even).
4. Executive Support Systems (ESS)
- Purpose: To help senior executives with strategic, unstructured decisions about the long-term direction of the organization.
- Users: CEOs, directors, and board members.
- Characteristics: Graphical dashboards, summaries of internal and external data (market trends, competitors, economy), with the ability to drill down into details.
- Example: A dashboard showing a bank’s deposits, loans, and profits by province, compared with industry averages.
Other specialized systems
- Office Automation Systems (OAS): email, word processing, scheduling, and video meetings for office work.
- Knowledge Management Systems (KMS): capture and share the organization’s expertise, such as an internal wiki or FAQ database.
- Expert Systems: give advice in a narrow field using rules from human experts, such as a loan-eligibility or medical-diagnosis advisor.
Comparison
| Feature | TPS | MIS | DSS | ESS |
|---|---|---|---|---|
| Users | Operational staff | Middle managers | Managers and analysts | Top executives |
| Decisions | Structured, routine | Structured | Semi-structured | Unstructured, strategic |
| Input | Transactions | TPS data | TPS/MIS data plus models | Summaries plus external data |
| Output | Receipts, records | Summary and exception reports | What-if analyses | Dashboards, trends |
| Example | POS billing | Weekly sales report | Pricing simulation | CEO dashboard |
flowchart LR
TPS[TPS: daily transactions] --> MIS[MIS: summary reports]
TPS --> DSS[DSS: what-if analysis]
MIS --> ESS[ESS: executive dashboards]
DSS --> ESS
The TPS is the foundation: if transaction data is wrong, every report and decision built on it will also be wrong.
Nepal Example
In a Nepali commercial bank: tellers use the core banking TPS to record deposits and withdrawals; branch managers receive MIS reports on daily deposits and overdue loans; the credit department uses a DSS to test how interest-rate changes affect loan demand and risk; and the CEO watches an ESS dashboard of performance across all branches compared with Nepal Rastra Bank requirements.
Summary
Information systems have evolved from simple transaction processors to sophisticated decision-making tools. The main types of systems reflect this evolution. Transaction Processing Systems (TPS) handle the daily operational data. Management Information Systems (MIS) summarize this data into scheduled, exception, and on-demand reports for managers. Decision Support Systems (DSS) provide interactive tools for analyzing data and modeling complex, non-routine decisions. Executive Support Systems (ESS) give top management a strategic, dashboard view. Office automation, knowledge management, and expert systems support other needs.
Key Takeaways
- Information systems have evolved from automating tasks to supporting decisions and strategy.
- TPS are the operational backbone, capturing daily transaction data.
- MIS provide summary reports for middle managers.
- DSS are interactive systems that help with complex, non-routine decisions.
- ESS support top executives with dashboards and external data.
Discussion Questions
- What is the relationship between a TPS and an MIS? How do they depend on each other?
- Provide an example of a “what-if” analysis that a manager might perform with a DSS.
- As a student, what information systems do you interact with at your university?
Exam-Style Questions
Short answer
- What is a TPS? Give two examples.
- Differentiate between MIS and DSS.
- What is an exception report?
Long answer
- Describe the evolution of information systems.
- Explain TPS, MIS, DSS, and ESS with examples, and show how they are related.
