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Summary Information Management - Information Systems Today: Managing in the digital world (Valacich & Scheider)

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Elaborate summary of the book Information Systems Today: Managing in the digital world. Can be used for the Information Management course of the first year (fourth module, is called Module 4 HOLI) of the International Business Administration program at the University of Twente. Contains chapters 1, 2, 4 (168-199), 7 (278-308), 5 (212-241), 10 (420, 459), 6 (254-287) and 3 (120-158). Can also be used at other universities with the same book.

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Summarized whole book?
No
Which chapters are summarized?
Hoodfstuk 1, 2, 4 (168-199), 7 (278-308), 5 (212-241), 10 (420, 459), 6 (254-287) en 3 (120-158)
Uploaded on
June 22, 2021
File latest updated on
June 22, 2021
Number of pages
50
Written in
2019/2020
Type
Summary

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Information Management summary
Information Systems Today: Managing in the digital world, Valacich, J. and
Schneider, C.

,Index
- Chapter 1
- Chapter 2
- Chapter 4 p. 168-199
- Chapter 7 p. 278-308
- Chapter 5 p. 212-241
- Chapter 10 p. 420-459
- Chapter 6 p. 254-287
- Chapter 3 p. 120-158

,CHAPTER 1

Computers = electronic devices that can only process binary (1 and 0) codes (bit)
American Standard Code for Information Interchange (ASCII) = combinations of binary codes
for 128 English characters
Byte = 7 bits for characters and one bit for checks
Hertz = one beat per second

Internet laws
1. Moore’s law
2. Kryder’s law
3. Nielsen’s law
4. Datacenters
5. Hyperscale

Moore’s law = number of transistors on a chip and related computer power doubles every
two years
Kryder’s law = hard disk capacity doubles every year
Nielsen’s law = user’s internet bandwidth grown by 50% every year from 1983-2018
Data centers = key nodes on the internet and have to invest in energy efficiency
Hyperscale = for example, Facebook has over 2 km2 datacenter floor

Lithography = technique by which you can make certain material in a shape

Changes in organizations and society
1. Mobile
2. Social media
3. Internet of Things
4. Cloud computing
5. Big data

Apps = software programs designed to perform a particular, well-defined function
BYOD = bring your own device
Consumerization of IT = many technological innovations are first introduced in the customer
marketplace before being used by organizations, and businesses have to constantly evaluate
how a wide variety of new technologies might influence their ways of doing business

Network effect = the notion that the value of network increases with the number of other
users

Internet of Things (IoT) = a network of a broad range of physical objects that can
automatically share data over the Internet
Sensors = devices that can detect, record, and report changes in the physical environment
Smart home technologies/home automation = technologies enabling the remote monitoring
and controlling of lighting, heating, or home appliances
Industrial Internet of Things (IIoT) = the use of IoT technologies in manufacturing

, Big data = extremely large and complex datasets
1. High volume
2. High variety
3. High velocity
4. Data-driven organization

Variety = structured and unstructured data, many sources
Velocity = rapid processing vs. traditional research
Data-driven organization = continuously planning

Computer literacy/information literacy = knowing how to use a computer
Computer fluency = the ability to independently learn new technologies as they emerge and
assess their impact on one’s work and life

Information system (IS) = combination of people and information technology that create,
collect, process, store, and distribute useful data

Information technology (IT)
1. Hardware
2. Software
3. Telecommunication networks

Hardware = physical computer equipment as well as components
Software = a program or set of programs that tell the computer to perform certain tasks
Telecommunication networks = a group of two or more computer systems linked together
with communications equipment

Data  information  knowledge

Data/unformatted data = raw symbols, such as characters and numbers
- No meaning in and of themselves
- Of little value until processed

Data quality
1. Completeness
2. Accuracy
3. Timeliness
4. Validity
5. Consistency

Making data useful
1. Formatting
2. Organizing
3. Processing

Information = representation of reality, and can help to answer questions about who, what,
where and when

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