Comprehensive Overview of Computer Based Information Systems and Enterprise Technologies

Fundamental Concepts of Information Systems

  • Computer Based Information Systems (CBIS)

    • Definition: A collection of elements (including hardware, software, data, people, and procedures) that work together to collect, process, store, and distribute information.
    • Functionality: This system typically includes main subsystems that effectively support the activities and decision-making processes of an organization.
    • Key Subsystems:
      • Transaction Processing Systems (TPS)
      • Management Information Systems (MIS)
      • Decision Support Systems (DSS)
      • Executive Support Systems (ESS)

  • Decision Support Systems (DSS)

    • Definition: An interactive information technology system designed to analyze data, synthesize information, and provide evaluation models.
    • Objective: To assist managers and organizations in making informed and accurate decisions more easily.

  • Transaction Processing Systems (TPS)

    • Definition: The most basic type of information system within a business.
    • Core Tasks:
      • Collection and Recording: Capturing all data from daily operational tasks such as inventory moving in and out, order payments, and ticket bookings.
      • Processing and Storage: Handling transactions automatically and quickly while ensuring absolute accuracy when updating the database.
      • Providing Foundational Data: Serving as a vital input source for higher-level information systems such as Management Information Systems (MIS) and Decision Support Systems (DSS).

Enterprise Resources and Integration

  • Enterprise Resources Planning (ERP)

    • Definition: A system that integrates various modules such as Finance, Production, Logistics, and Human Resources into a single application.
    • Functionality: It allows all departments within a business to work together on a unified system.
    • Contrast with Traditional Methods: Instead of employees working on separate, independent software (e.g., separate accounting software, HR/payroll software, or CRM software), ERP integrates all parts of a business into a comprehensive information system.

  • Electronic Data Interchange (EDI)

    • Definition: The automated exchange of business documents between organizations.
    • Operational Context: Daily business workflows require the exchange of documents like invoices, purchase orders, and shipping forms.
    • Efficiency Gains: Traditionally, paper documents or emails with attachments were shared and manually processed to enter data into systems. EDI technology automates these workflows so digital systems can share and process documents across organizational boundaries without human involvement.
    • B2B Networks: Organizations can connect their IT systems with others in their B2B network to save time and eliminate errors caused by manual processing.

  • Enterprise Risk Management (ERM)

    • Definition: A comprehensive system or strategic framework that helps an organization identify, assess, respond to, and monitor risks.
    • Risk Types: Financial, operational, and strategic risks that could affect overall goals.
    • Focus: It concentrates on identifying and managing risks at a macro level for the entire organization.

Logistics and Supply Chain Management

  • Supply Chain Management (SCM)

    • Definition: A software system or process that helps businesses coordinate all activities related to the following:
      • Planning and procurement of raw materials.
      • Production and quality control.
      • Logistics and warehouse management.
      • Transportation and product distribution to consumers.

  • Warehouse Management System (WMS)

    • Definition: A software solution designed to control, track, and optimize all operational activities inside a warehouse.

  • Transportation Management System (TMS)

    • Definition: A core module that helps digitize, optimize, and control the entire goods transportation process.
    • Key Features: Route planning, order coordination, and real-time tracking.

Identification and Data Technologies

  • Internet of Things (IoT)

    • Definition: A network connecting devices, objects, or sensors through the Internet.
    • Functionality: These systems allow machines to collect, process, and exchange data automatically without direct human intervention.
    • Example: Using a phone to turn on the air conditioner, turn off a fan, or turn on house lights.

  • Radio Frequency Identification (RFID)

    • Definition: A wireless communication technology that uses radio waves to automatically identify, track, and manage objects.
    • Requirement: It does not require direct contact or a line of sight.
    • Example: RFID chips used by Uniqlo.

  • Automatic Identification and Data Capture (AIDC)

    • Definition: A set of technologies allowing systems to automatically identify objects, collect data, and enter it directly into a computer without manual human entry.
    • Popular Technologies: Barcodes, QR codes, and Radio Frequency Identification (RFID).

  • Electronic Product Code (EPC)

    • Definition: A unique identifier (similar to a barcode) commonly used in RFID and IoT technology to identify individual products or assets globally.
    • Implementation: Usually stored in the chip of an RFID tag, providing detailed product information to optimize tracking and supply chain management.

  • eXtensible Markup Language (XML)

    • Definition: A markup language recommended by the World Wide Web Consortium to define document encoding syntax.
    • Purpose: Facilitates easy reading, storage, and transmission of data by both humans and machines.

Database and Sales Systems

  • Database Management System (DBMS)

    • Definition: Specialized software acting as an intermediary that allows users to define, create, store, access, and manage data systematically and safely.
    • Common Examples: MySQL, PostgreSQL, Oracle SQL, and Microsoft SQL Server.

  • Customer Relationship Management (CRM)

    • Definition: A system helping businesses centrally store customer data, manage interactions, and automate sales, marketing, and customer care processes.
    • Goals: To increase revenue and build long-term relationships.

  • Partner Relationship Management (PRM)

    • Definition: Systems and processes that help businesses manage, support, and optimize their network of business partners such as distributors, agents, or branches.

  • Point of Sale (POS)

    • Definition: A comprehensive combination of hardware and software used to perform commercial transactions (often translated in Vietnam as "Điểm bán hàng" or checkout counter).
    • Core Tasks:
      • Transaction Processing: Supports diverse payment methods including cards, QR code scanning, and electronic wallets.
      • Inventory Management: Automatically updates stock quantities every time a transaction occurs.
      • Business Reporting: Compiles revenue statistics, stores information, and manages customer data.

Cloud Computing Service Models

  • Software as a Service (SaaS)

    • Definition: A cloud computing model where a provider hosts applications on their servers.
    • Access: Users access software remotely via the internet using a web browser after paying a subscription fee.

  • Platform as a Service (PaaS)

    • Definition: A model providing a complete platform or environment for developers to build, deploy, run, and manage applications.
    • Benefit: Developers do not need to worry about setting up or maintaining the underlying infrastructure.

  • Infrastructure as a Service (IaaS)

    • Definition: A cloud computing model providing basic hardware resources over the internet.
    • Resources Include: Virtual servers, memory, storage, and networking.

  • Desktop as a Service (DaaS)

    • Definition: A service where providers host virtual desktops in the cloud.
    • Access: Allows users to access their work environment remotely via the Internet.

Theoretical Models for Technology Adoption

  • Technology Acceptance Model (TAM)

    • Developer: Fred Davis in 1986.
    • Purpose: One of the most popular theoretical models to predict and explain why users accept or reject a new information system or technology.
    • Core Factors:
      • Perceived Usefulness (PU): The degree to which an individual believes that using a specific system will enhance their job performance.
      • Perceived Ease of Use (PEOU): The degree to which an individual believes that using the system does not require excessive effort or complexity.

  • Technology - Organization - Environment (TOE) Framework

    • Developers: Tornatzky and Fleischer in 1990.
    • Purpose: To explain the factors influencing how a business adopts and applies new technologies through three aspects:
      • Technology: Evaluates the characteristics of the new technology (innovation) and existing technologies inside or outside the organization. It assesses benefits and ease of use.
      • Organization: Evaluates internal characteristics like business size, organizational structure, resources (financial, human), and leadership readiness.
      • Environment: Analyzes external context including competitive pressure, government legal environment, infrastructure, and partner support.

  • Unified Theory of Acceptance and Use of Technology (UTAUT)

    • Developer: Venkatesh and colleagues in 2003.
    • Purpose: A foundational theory used to explain the determinants of a user's behavioral intention toward using a new information system.
    • Core Deciding Factors:
      • Performance Expectancy
      • Effort Expectancy
      • Social Influence
      • Facilitating Conditions", "title": "Comprehensive Overview of Computer Based Information Systems and Enterprise Technologies"}