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Published byTobias Nigel Williams Modified over 6 years ago
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Information Systems Supports Business processes
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Organizational Levels and Functions
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Four Major Types of IS
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Four Major Types of IS Transaction Processing System (TPS)
Management Information Systems (MIS) Decision-Support Systems (DSS) Executive Support Systems(ESS or EIS)
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Typical Applications of TPS
TKF Aplikasi Komputer II
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Transaction Processing System (TPS)
Collects & stores data about transactions and sometimes control decisions made as part of a transactions Process types: batch processing, real-time processing, time-sharing, transaction processing
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Transaction Processing System (TPS)
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Management Information Systems (MIS)
Focuses on the management of information systems to provide efficiency and effectiveness of strategic decision making Example
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Decision-Support Systems (DSS)
Computer program application that analyzes business data and presents it so that users can make business decisions more easily
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Decision-Support Systems (DSS)
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Executive-Support Systems (ESS)
Internal Data TPS/MIS data Financial data Office systems Modeling/ analysis External Data Dow Jones Internet news Standard & Poor’s
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Interaction among Systems
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Interaction among Systems
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Summary Different types of IS by organizational levels include:
Transaction Processing Systems (TPS) Management Information Systems (MIS), and Decision Support Systems (DSS) Executive Support Systems (ESS), also known as Executive Information Systems (EIS)
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Functional Information Systems
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Systems from a Functional Perspective
Sales and Marketing Systems Manufacturing and Production Systems Finance and Accounting Systems Human Resources Systems
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Sales and Marketing Systems
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Manufacturing and Production Systems
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Finance and Accounting Systems
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Human Resources Systems
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Summary IS to support business functions
Within a function, different IS for different organizational levels
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Cross Functional Information Systems
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Business Processes A Cross-functional Business Process: Order Fulfillment Process
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Functional Systems
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Common Enterprise Applications
Enterprise System (ERP) Supply chain management systems (SCM) Customer relationship management systems (CRM)
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Enterprise System (ERP)
A category of business-management software A suite of integrated applications Can use to collect, store, manage and interpret data from many business activities
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Enterprise Systems (ERP)
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Supply Chain Management Systems
Management of the flow of goods and services Movement and storage of raw materials, work-in-process inventory, and finished goods from point of origin to point of consumption Include design, planning, execution, control, and monitoring of supply chain activities
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Supply Chain Management Systems
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Customer Relationship Management Systems
Manage a company’s interaction with current and future customers To analyze data about customers' history with a company, in order to better improve business relationships with customers, specifically focusing on retaining customers, in order to drive sales growth
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Customer Relationship Management Systems
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Summary Business process integration through cross-functional information systems Cross function information systems include: Enterprise System Supply chain management systems Customer relationship management systems Knowledge management systems
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Knowledge Management Systems
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Knowledge Management Systems
Collects relevant knowledge and make it available wherever and whenever it is needed Support business processes and management decisions Also link the firm to external sources of knowledge Support processes for acquiring, storing, distributing, and applying knowledge
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Knowledge Management Value Chain
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Types of KMS
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Knowledge Work Systems
Knowledge Workers: Create knowledge and information for organization Keep the organization current in knowledge Serve as internal consultants regarding the areas of their knowledge Act as change agents, evaluating, initiating, and promoting change projects
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Knowledge Work Systems
Hardware Platform: Knowledge Work Station
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Knowledge Work Systems
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Intelligent Techniques
Expert Systems Fuzzy Logic Systems Neural Networks Genetic Algorithms Hybrid AI Systems Intelligent Agents
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Summary KMS capture knowledge for future use Three key type of KMS
Enterprise-wide KMS Knowledge work systems Intelligent Techniques
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