sistemas de informação empresarial...
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Sistemas de Informação Empresarial
(SIE) Enterprise Informa/on Systems
Marielba Silva de Zacarias
[email protected] hAp://w3.ualg.pt/~mzacaria
Campus Gambelas, Edf. FCT‐I, gab. 2.69
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Management InformaPon Systems
• Main goal: – Draw aAenPon and address organizaPonal and management concerns of InformaPon System
• Expected results: – Enabling students to regard technology as means rather than ends
– Enabling the student to disPnguish between informaPon, SI, and TI
– Providing the student a more comprehensive view of the IS disciplina
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Teaching/EvaluaPon Strategy • This course integrates exposiPon of theorePcal contents and pracPcal exercises
• TheorePcal contents are provided in several formats; live presentaPons (me talking), text, images and videos.
• PracPcal exercises include: – Answering quesPons related to theorePcal contents, but situated in real organizaPons
– Case study analysis • Students will be evaluated with – Test/exams – Exercise/Case Study Results
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Course Contents • Role of IS in businesses today • IS, OrganizaPons and Strategy • Ethical and Social issues of IS • Emergent technologies: business intelligence • Enterprise and e‐commerce applicaPons
• Security issues • SupporPng knowledge management • Enhancing decision‐making
• Business Value of IS • Change Management in IS
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Basic bibliography
• Management InformaPon Systems, Laudon & Laudon, PrenPce‐Hall, 10 ediPon
• You can buy the book at FNAC library stores • PracPcal sessions in book’s companion web site: – h=p://wps.prenhall.com/bp_laudon_mis_10/62/15945/4081978.cw/index.html
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0: InformaPon, Systems
• The concept of informaPon – Signals, signal systems – CommunicaPon Process – CommunicaPon Levels – Data, InformaPon and Knowledge
• Systems – Fundamental Concepts – Systems thinking in the informaPcs discipline – Sod Systems vs Hard Systems – Socio‐Technical Systems
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InformaPon
• Data≈ symbols • Signs: meaningful symbols
• Sign system: organized collecPon of signs
• InformaPon concept embedded within the sign concept
• InformaPon≈ data meaningful within a specific context
• Knowledge ≈ more complex and lasPng structures, seen in acPon
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Data: Pedro, 25 Word ≈ Sign, languages ≈
sign systems Add meaning given by a
context: Student Name, age or
temperature) and you get information
Something like: if temperature > X, turn
off car Is understood as
knowledge
Concepts: Examples:
The communicaPon process
• CommunicaPon components: – ParPcipants
• Sender ‐ intenPon • Receiver(s) ‐ interpretaPon
– Message with signs
– CommunicaPon means
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Senders Receivers Message
Levels of Signs
• PragmaPcs: context and culture
• SemanPcs: meanings of signals and messages • SyntacPcs: logics and gramma/cs of signal systems
• Empirics: physical characteris/cs of the communica/on means
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Systems
• The Systems Approach – Everything is a system – General features of systems
• General Systems Theory 1. Gestalt Psychology (1930), phenomena not explained by
decomposiPon 2. General Systems Theory, Bertalanffy(1951) 3. General Systems Research Society 4. Greater impact on management and social sciences
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Systems
• Fundamental Ideas
– System: Purposeful whole organized by inter‐related components, with emergent properPes
– Holism: The whole is greater than the sum of parts
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General features of Systems
• SubjecPve NoPon: they are a concept • They are organized • They have a purpose • The parPcular inter‐relaPonships among their
components produce emergent properPes • They have boundaries: the enPPes surrounding them
are part of their environment • They communicate with their environment through
inputs and outputs • Entails processes/transformaPons
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General features of systems
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Composed by sub-sistems (hierarchies) State-based behavior Several types of systems defined by bipolar
dimensions Controlo Performance Feedback
+ Negative - Positive
General features of Systems
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Control
Control
Process
Process Sub-system
System
agent
agent agent
agent agente
agente
TGS Influence in the InformaPcs Field
• The System NoPon • From TGS to: – Engenharia de Sistemas
– Systems Analysis – OperaPonal Research
• OrganizaPon ≈ System
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Information Techonologies IS Analysis IS Modeling, Simulation
Systems: Sod vs Hard
• Hard Systems have clear boundaries, and clearly defined problems and performance measures
• Systems Engineering, Systems Analysis and OperaPonal Research address hard systems
• Sod Systems have fuzzy boundaries, subjecPve purposes and difficult to define performance measures
• Whereas Human AcPvity Systems (HAS) are sod systems, technological systems are hard.
• InformaPon Systems have features of hard and sod systems. InformaPon Systems are Socio‐Technical
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