MIS exam 1

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Last updated 4:40 AM on 9/29/26
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130 Terms

1
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What is IS

  • collect, store, analyze, and output data and information


2
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data vs information vs knowledge

  • data: raw facts, numbers, stats

  • information: data given context

  • knowledge: application of information

  • knowledge > information > data in context

  • knowledge < information < data in volume


3
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the six major roles of IS: operations management

  • functions to deliver goods/services: inventory/supply chain, accounting, payroll

  • compliance: US and other countries it is a part of keeping the business running

  • enterprise resource planning: big part of managing operations


4
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the six major roles of IS: customer interactions

  • CRM systems, often bundled into ERP systems, build and maintain relationships

  • includes web-based front offices and online self-service

  • support tickets are a big part of this

  • also includes interactions inside a company


5
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the six major roles of IS: making decisions

  • data driven decision making: many companies are terrible at this, let what’s actually going on in the business drive high-level decisions


6
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business intelligence

  • process managers should use to make decisions, drawn from the company’s own information systems or external factors

    • combines data gathering, data storage, knowledge management, and analysis

    • involves data visualization and data analysis


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the six major roles of IS: collaborating on teams

  • social networks: used in a business context (facebook marketplace) or also be used to engage customers (Wendy’s X)

  • workplace communication software: designed specifically for professional communication; allows for real time integration of multiple information channels


8
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collaborating on teams: software development

  • allows for software development/storage/testing/deployment from multiple locations

  • Github is by far the biggest platform for this


9
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collaborating on teams: file sharing

  • originally used by pirates in the 00’s for sharing music and such illegally with P2P sharing

  • companies now have professional platforms to allow their employees to share files with each other


10
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the six major roles of IS: competitive advantage

  • valuable: has to deliver real value

  • rare: has to be something your competitors don’t have

  • inimitable: can’t easily be copied just by studying your business model and reverse engineering

  • non-substitutable: can’t get around using your product


11
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the four components of IS

  • people: leaders, managers, and staff IT team

  • technology: hardware, software, networks

  • data: digital data can be integrated and shared across systems

  • processes: set of activities to achieve tasks, business process management


12
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the four components of IS: people

  • by far the hardest part of dealing with an IS

  • people > processes > data > technology

  • don’t underestimate the importance of people and processes in an IS, new software is not a silver bullet


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information value: timeliness

  • is the data real time, or is there a delay?

  • if delayed, is the information still valuable?


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information value: accuracy

  • is the data showing what’s actually going on, or is it distorted


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information value: completeness

  • is the data complete or fragmented

  • if fragmented, is it complete enough to be usable


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information value: context

  • has the data been given the proper context, or could someone get a wrong idea about what’s really going on


17
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Porter’s 5 competitive forces: threat of new entrants


  • many IS companies often do not have a big threat of new entrants compared to other industries

  • scale, network effects and switching costs often prevent people from switching software/products

  • network effects: product value increases because more people use it

  • switching costs: costs that customers incur when they change suppliers

  • amount of capital needed to even enter the market is substantial in some instances


18
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Porter’s 5 competitive forces: power of buyers

  • depending on the segment of the IS field, buyers may have a little or a lot of power based on their ability to substitute

  • because of the concentration of firms, buyers often have few options

  • switching costs are higher than average for the IS industry

  • IS products are often marketed to the masses, so there are many buyers

  • backwards integration is usually not a problem


19
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Porter’s 5 competitive forces: power of suppliers

  • IS products tend to have fewer suppliers the higher up you go, the power of their suppliers tends to be very strong at multiple levels

  • nothing has been found to replace silicon semiconductors and market segments are seeing further concentration

  • chinese firms have been trying to break out of this chain


20
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Porter’s 5 competitive forces: threat of substitution

  • IS products tend to have a smaller # of companies in the market and are highly sophisticated, there are not many substitutes due to concentration and sophistication

  • high switching costs and very high network effects lower the threat


21
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Porter’s 5 competitive forces: competitive rivalry

  • IS companies sometimes use each other’s services

  • oftentimes companies will use the services of more than one company

  • market shares in many categories have been stable for years

  • sometimes there is a degree of cooperation between IS companies


22
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external factors that affect 5 forces: disruptive innovations

  • radical and unexpected

  • transform industry and change 5 forces

  • creative destruction: fail to respond to disruptive innovation that capitalizes on new technologies

  • ex: Gen AI


23
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external factors that affect 5 forces: govt. policies

  • affect how industries operate and evolve

  • ogranizations lobby for govt. action

  • judges and courts affect industry structure

  • govt. can also make unexpected policy changes


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external factors that affect 5 forces: complementary products and services

  • industries are interrelated → innovation can require many players in many roles

  • visionaires lead to new beneficial directions

  • companies embedded in ecosystem

    • core companies: google, apple, microsoft

    • complementary products/services: app store, google play

    • partner: microsoft partnering with LinkedIn

    • govt: establish regulations and standards

  • companies nowadays try to build platforms/ecosystems so they can see you a host of complementary goods

  • these goods can also come from unrelated manufacturers


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external factors that affect 5 forces: environmental events

  • major effects without warning (ex: BP oil spill)

  • energy costs and emissions (ex: china banned bitcoin mining due to energy cost)

  • leaders must consider industry and forces

    • includes accounting for events that may be only a remote possibility


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value chain

  • primary activities = direct materials + direct labor

    • what are actually needed to make a product (ex: dell buys computer parts, assembles a computer, markets it, and ships it out)

  • secondary activities = overhead

    • things you have to do to enable primary activities but aren’t “strictly necessary” for a product (ex: HR and management)


27
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extended value chain

  • you have to consider other companies as a part of your value chain

  • why? disruption due to policy, new tech, or vertical integration opportunities

    • policy can cause your suppliers/buyers to disappear overnight

    • new tech can allow your buyers to substitute your good/service

    • everyone’s favorite: need to know who supplies you so you can buy them or whose space you want to move into (vertical integration)


28
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IT benchmarking

  • IT spending varies by industry and region

  • managers can use benchmarks to assess extended value chain

  • EVC (extended value chain) model necessary for comparison


29
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benchmarking - run, grow, and transform

  • organization just starting → little to none of your budget will be for running

  • organization is mature and in decline → more will go towards running

  • 74% of IT spending to run organization

  • 16% to grow business

  • 9% to transform business model


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competitive strategies in business: low cost strategy

  • competing on price by being the lowest-cost producer in the industry

  • you get to offer the lowest prices in order to reach the most people

  • many companies start in a low-cost strategy, before transitioning to a different strategy once they have enough market share/recognition

  • competition will likely be high, as you will compete with many


31
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competitive strategies in business: product differentiation strategy

  • offering unique products/services that stand out from competitors

  • cost is still considered, but the ultimate focus is on maximum marginal profit

  • brand recognition matters way more

  • downside: it’s impossible to reach everybody, because you will turn off some people by how you differentiate yourself


32
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competitive strategies in business: focused niche strategy

  • targeting a specific, narrow market segment with tailored offerings

  • ideally will serve a market that isn’t being served by anyone else, big focus on who is being served

  • ex: GoPro


33
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competitive strategies in business: hybrid strategy

  • exactly what it sounds like; just combining the best of multiple types of strategies

  • ex: amazon offers competitive prices while providing a vast selection of products


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role of IS in strategy

  • enhance operational efficiency

    • automate: eliminate low-value tasks → task is repetitive and rule-based; maek the customer experience as fast as possible

    • streamline: enable more/faster high-valued work → reduce complexity of the customer experience in order to drive customer satisfaction; enable employees to make more high-level decisions that matter


35
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ethics

  • system of moral principles that human beings use to judge right and wrong and to develop rules of conduct


36
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virtue ethics

  • that which makes us a better person is the right thing to do

  • influenced natural law


37
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deontology

  • we should follow the rules/our duties to determine what’s right

  • what we do is more important than the outcomes or meaning behind it


38
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utilitarianism

  • actions are ethical or unethical based on their consequences or outcomes

  • the needs of the many outweight the needs of the few

  • do the most good for the most people


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care-based ethics

  • we should do what cares for others the most


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rights-based ethics

  • we should do what preserves fundamental human rights the most


41
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natural law and rights

  • certain moral values are universally apparent, inherent in, and applicable to all people and can be discovered using reason

  • ex: ten commandments, US declaration of independence


42
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divine command theory

  • that which God commands must be right


43
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moral relativism

  • morality is relative to the time and place in which someone lives


44
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ethical nihilism

  • there is no objective source of morality


45
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ethics and law

  • laws are oftened grounded in ethical principles

  • political pressure

  • legailty vs ethics

    • lying might be legal but, is it ethical

    • actions are “legal” if they do not violate the laws or codes of the local govt., state, or fed

    • actions are “ethical” or “moral” if they meet an individual's personal code of conduct, which may be based on a particular social, religous, or other group norms


46
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amplification of consequences/effect

  • web-based technologies can turn minor mistakes into significant issues due to their viral nature

    • ex: a single tweet can reach millions within minutes, amplifying both positive and negative impacts


47
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disinhibition effect

  • sometimes your brain doesn’t work the same way online


48
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psychological distance

  • when we aren’t at risk of getting punched in the face, we get braver!

  • our minds we have more “distance” with people online


49
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intellectual property (IP)

  • intangible assets such as music, written works, software, art, designs, movies, creative ideas, discoveries, inventions, and other expressions of the human mind

  • fair use (education) is a big exception


50
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copyright, patent, trademark

  • copyright: protects authored works for 70 years + author’s life

  • patent: protects inventions for 20 years

  • trademark: protects marketing materials, potentially indefinitely


51
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digital right management (DRM)

  • technologies that software developers, publishers, media companies, and other IP holders use to control access to their digital content

    • applied to movie through cryptographic keys

    • applied to games through software embedded inside


52
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copy left

  • preserving one’s copyright or software while using that to ensure free software

  • license allows anyone to take, modify, sell, or otherwise use code

  • code is made publicly available on the internet

  • idea is to try and make software transparent/ethical for all


53
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piracy

  • the practice of downloading and / or distributing digital content on the interent


54
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abandonware

  • software that is no longer distributed or supported by the copyright user


55
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privacy

  • fundamental aspect of human rights and personal freedom

  • involves the right to control personal information and how it is used


56
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importance of privacy

  • protects individuals from misues of their personal data

  • ensurse personal autonomy and freedom from surveillance


57
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impact of tech on privacy

  • IT has transformed how personal data is collected, stored, and shared

  • digital age has introduced new challenges and ethical considerations for maintaining privacy


58
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cookies

  • little files that are stored by your browser that save login details, preferences, and allow companies to track behavior


59
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third party cookies

  • those on the website that are not created by the website itself


60
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google analytics

  • full service analytics platform which tracks users across multiple websites


61
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facebook pixel

  • piece of javascript code that sits on many websites and tracks your movements for analytics


62
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laws/rights to privacy

  • right to anonymity

  • protection from unwarranted searches or seizures

  • right to view and correct personal information

  • right to control use of personal information by third parties

  • right to be left alone

  • protection against intrusion


63
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convenience and discounts

  • people often share personal data for convenience or discounts

  • ex: allowing cookies for personalized promotions


64
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proxy servers

  • act as an intermediary

  • pass requests from you and the server back and forth without revealing your IP address or even your country

  • VPN (virtual private networks): work similarly, but they also encrypt the traffic between you and the proxy server


65
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pro/con of anonymity online

  • pro: protects individuals in online support groups; allows sharing of sensitive information without fear of disclosure

  • con: shields terrorists, criminals, spammers, and vengeful posters; online identity can be obscured using fake names, nicknames, free email, and public computers; erasing digital tracks is challenging


66
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surveillance technology

  • orgs use tech to monitor email, texting, web surfing, etc.

  • pro: addressing concerns like “cyberslacking”; concern from liability; need to protect security and confidentiality

  • con: potential drop in productivity; increased stress and lower productivity among monitored employees


67
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information security

  • the protection of an organization’s information assets against misues, disclosure, unauthorized access, or destruction

  • can arise both inside and outside organizations

  • can be natural events or human-made, accidental or deliberate

  • insider threat: someone inside a company who compromises the information security of the company they work for, typically from inside the network

  • much of the time, it’s phishing attack from outside the company


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hacking

  • accessing information systems in an unauthorized way, often for nefarious purposes


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parasitic computing

  • accessing/using the computing power of someone else’s machine without permission


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malware

  • malicious software designed to attack computer systems

  • ex: viruses, worms, trojans, keyloggers


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botnets

  • networks of compromised computers controlled by criminal gangs

  • used to capture sensitive information like user IDs, passwords, and credit cards


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distributed denial of service attacks (DDoS)

  • zombie computers (usually in a botnet) flood a site wtih quick bogus page requests

  • causes the sit to slow down or crash

  • impact: financial losses due to downtime, lost business, and damaged reputation


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phishing attacks (social engineering)

  • mechanism: botnets often mask the source of phishing emails

  • recipients are lured to fake websites/login pages to enter personal information


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ransomware

  • malware that encrypts files and demands a ransom for decryption codes

  • payment: often demanded in bitcoins due to their untraceable nature

  • impact on healthcare: disrupts access to patient records and critical data


75
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information leaks

  • cybercriminals, lost devices, misplaced backup media, and unshredded documents

  • legal implications: govt. impose fines on companies that lose customer data

  • market impact: oversupply of leaked data drives prices in underground markets


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multifactor authentication

  • prevents a criminal from accessing your account/network if they only stole a password


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patching

  • being able to quickly deploy security fixes prevents them from exploitation


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backups

  • if your system is compromised, being able to wipe it clean and use a back up to restore it is crucial to a quick recovery


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principle of least privledge

  • every user should only have as much system access as they need at any one time


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awareness

  • training employees on looking for threats like phishing or ransomware prevents them from becoming a network access point


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incident response

  • need a cybersecurity team who actively surveys network logs and responds immediately upon detecting an attack


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why do we need a formal process of system development

  • minimize failure

  • avoid creating an intuition-based system

  • avoid late, over budget projects

  • deliver values as promised

  • provide accountability


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system development life cycle: planning

  • assessing business needs

    • ROI, BEP

    • risk management

    • competitive advantage

  • ideally most of your bad projects should fail here


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system development life cycle: analysis

  • understand business processes/requirements → process diagram/flowchart

  • requirement definition (RDD): includes all of the outputs of this step, including the diagram

  • want to understand what the process is currently at a more detailed level so you can figure out how the system changes things or fits in

  • that is what drives your requirements in the document

  • second most common place for your project to fail


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functional requirement

  • a process the system shoud perform as a part of supporting a user task

  • information the system should provide as the user performs a task

  • ex: system shall allow users to select the category of their order


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non-functional requirement

  • characteristics that the system should have that do not directly contribute to the business process

  • usability (screen attractiveness), accessibility (accessible for people with disablity), performance (response time), interface (user navigation), security (authentication), compliance, integration, language


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system development life cycle: design

  • where we specify techincal details to satisfy RDD/PDD like architectural design

  • “divide and conquer” is one of the primary strategies used in system/software development in general

  • model how users will be using the system

  • need to model how the data is used/created/stored including database design

  • SDD (solution design document) is first created here


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system development life cycle: development

  • version control: usually using Git or Gifthub; keeps track of changes made across different software versions

  • project and issue tracking: usually integrated with version control; intended to keep track of all bugs and work to be done

  • code review: designed to make sure the code being put out by one person is reviewed by someone else to ensure maintainability


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system development life cycle: testing

  • test small subsytems first, the once those are correct, test their integration at the larger system level

  • need to test the new system with any outside systems it integrates with

  • ensure performance is acceptable

  • have your business user test your system and sign off saying they approve (UAT = user acceptance test)


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system development life cycle: implementation

  • your software has been tested and found worthy

    • parallel: launch new when old is still running

    • phased: launches modules in phases instead of all at once

    • pilot: launch to a small subset of users or locations first

    • direct: stops old system and launches new on the go-live date

  • parallel is usually the best, although phased can make sense with larger systems

  • direct can make sense but is more situational (better for smaller systems)


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system development life cycle: maintenance

  • bug fixes - includes functionality and security

    • can be due to preexisting issues

    • can be due to new issues caused by other systems/software changing

  • end of life plan should be considered

  • keeping personnel who can maintan the systems is usually the largest challenge

  • also the issue of adding new features later, which is sometimes considered a new project depending on the scope

  • vibe coding: AI coding with no human experience will produce a maintenance crisis


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What goes into buying?

  • RFI → RFP → evaluation → contract

  • RFP: your requirements from the RDD, timeline expectations, budget parameters, vendor qualification criteria

  • total cost of ownership: license/subscription fees, implementation cost, training, integrations, ongoing maintenance

  • key contract terms to watch: SLAs, data ownership, exit clauses, price escalation caps


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buying: planning phase

  • define project scope, objectives, and feasibility


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buying: analysis phase

  • gather detailed requirements and analyze stakeholder needs


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buying: design phase

  • determine the technical architecture of the solution needed to fulfill analyzed business needs


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buying: development phase

  • actual coding and building of the system


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buying: testing phase

  • test the system to identify and fix defects


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buying: implementation phase

  • deploy the system to the production environment


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waterfall

  • strengths

    • requirements are defined long before programming begins. inspired by engineering/construction methodologies

    • requirements changes are limited as the project progresses

  • weaknesses

    • must wait a long time before there is evidence of the new system

    • take a long time from start to finish

    • requirements may be overlooked at the beginning and you can’t go back to previous phases

    • assumes build is the right decision


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iterating vs incrementing

  • incrementing: get a portion done then adding it on to the big project

  • iterating: repeating a process, refining through a set of steps to improve something