SlideShare ist ein Scribd-Unternehmen logo
1 von 1
For this week's business law research assignment, you will
conduct research pertaining to internet fraud and internet fraud
statistics. Using sites of your choice, research information on
"Internet Fraud" and "Internet Fraud Statistics". You may wish
to consult sources such as the National Fraud Information
Center (
http://www.fraud.org
) and the Internet Crime Complaint Center (
http://ic3.gov/media/annualreports.aspx
). Use Microsoft Word to create 1-2 page essay that responds to
the following:
Why do you think Internet fraud has resulted in many new
business laws and regulations? Do you feel that there are
differences between face-to-face business law and Internet
business law? Why or why not?
Compare the reports you have selected. Pick the most current
set of statistics available and compare them to the statistics
from five years earlier. How do they compare? Discuss why you
feel there is such a difference. How have the Internet scams
changed over the years? Do you see a trend in any area of
Internet fraud? What would you suggest to assist with these
problems? How might business laws, which are already in place,
play a role in controlling fraud on the Internet?

Weitere ähnliche Inhalte

Ähnlich wie For this weeks business law research assignment, you will conduct r.docx

RUnning head ONLINE1ONLINE11Online Shopping Hypo.docx
RUnning head ONLINE1ONLINE11Online Shopping Hypo.docxRUnning head ONLINE1ONLINE11Online Shopping Hypo.docx
RUnning head ONLINE1ONLINE11Online Shopping Hypo.docxcharisellington63520
 
What You Need to Know About Big Data
What You Need to Know About Big DataWhat You Need to Know About Big Data
What You Need to Know About Big DataTier10
 
What makes consumers buy from internet
What makes consumers buy from internetWhat makes consumers buy from internet
What makes consumers buy from internetGiang Coffee
 
Detecting phishing websites using associative classification (2)
Detecting phishing websites using associative classification (2)Detecting phishing websites using associative classification (2)
Detecting phishing websites using associative classification (2)Alexander Decker
 
Research proposal sample|cheapassignmenthelp.com
Research proposal sample|cheapassignmenthelp.comResearch proposal sample|cheapassignmenthelp.com
Research proposal sample|cheapassignmenthelp.comNicole Valerio
 
Modern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceModern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceCambridge Semantics
 
Create a 15 to-20 slide PowerPoint or Presi presentation based on th
Create a 15 to-20 slide PowerPoint or Presi presentation based on thCreate a 15 to-20 slide PowerPoint or Presi presentation based on th
Create a 15 to-20 slide PowerPoint or Presi presentation based on thkedsliemichal
 
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...KKess
 
Health Care Essay Scholarship
Health Care Essay ScholarshipHealth Care Essay Scholarship
Health Care Essay ScholarshipSharon Miller
 
How To Write An Essay Comparing 2 Poems
How To Write An Essay Comparing 2 PoemsHow To Write An Essay Comparing 2 Poems
How To Write An Essay Comparing 2 PoemsAngel Morris
 

Ähnlich wie For this weeks business law research assignment, you will conduct r.docx (11)

RUnning head ONLINE1ONLINE11Online Shopping Hypo.docx
RUnning head ONLINE1ONLINE11Online Shopping Hypo.docxRUnning head ONLINE1ONLINE11Online Shopping Hypo.docx
RUnning head ONLINE1ONLINE11Online Shopping Hypo.docx
 
What You Need to Know About Big Data
What You Need to Know About Big DataWhat You Need to Know About Big Data
What You Need to Know About Big Data
 
What makes consumers buy from internet
What makes consumers buy from internetWhat makes consumers buy from internet
What makes consumers buy from internet
 
Detecting phishing websites using associative classification (2)
Detecting phishing websites using associative classification (2)Detecting phishing websites using associative classification (2)
Detecting phishing websites using associative classification (2)
 
Research proposal sample|cheapassignmenthelp.com
Research proposal sample|cheapassignmenthelp.comResearch proposal sample|cheapassignmenthelp.com
Research proposal sample|cheapassignmenthelp.com
 
Modern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in InsuranceModern Data Discovery and Integration in Insurance
Modern Data Discovery and Integration in Insurance
 
Create a 15 to-20 slide PowerPoint or Presi presentation based on th
Create a 15 to-20 slide PowerPoint or Presi presentation based on thCreate a 15 to-20 slide PowerPoint or Presi presentation based on th
Create a 15 to-20 slide PowerPoint or Presi presentation based on th
 
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...
2010 Shopping on the Job: ISACA's Online Holiday Shopping and Workplace Inten...
 
Week5 paper-susbauer
Week5 paper-susbauerWeek5 paper-susbauer
Week5 paper-susbauer
 
Health Care Essay Scholarship
Health Care Essay ScholarshipHealth Care Essay Scholarship
Health Care Essay Scholarship
 
How To Write An Essay Comparing 2 Poems
How To Write An Essay Comparing 2 PoemsHow To Write An Essay Comparing 2 Poems
How To Write An Essay Comparing 2 Poems
 

Mehr von mecklenburgstrelitzh

Discussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxDiscussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxmecklenburgstrelitzh
 
Discussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxDiscussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxDiscussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxmecklenburgstrelitzh
 
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxDiscussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxmecklenburgstrelitzh
 
Discussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1  Pick 2 different department team members and descri.docxDiscussion - 1  Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxDiscussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxmecklenburgstrelitzh
 
Discussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxDiscussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxmecklenburgstrelitzh
 
Discussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxDiscussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxmecklenburgstrelitzh
 
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxDiscussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxmecklenburgstrelitzh
 
Discussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxDiscussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxmecklenburgstrelitzh
 
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxDiscussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxmecklenburgstrelitzh
 
Discussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxDiscussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxmecklenburgstrelitzh
 
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook  or see the ppt) For ea.docxDiscussion (Chapter 10 in the textbook  or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docxmecklenburgstrelitzh
 
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docx
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docxDiscussion (Chapter 1) Compare and contrast predictive analytics wi.docx
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docxmecklenburgstrelitzh
 
Discussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxDiscussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxmecklenburgstrelitzh
 
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxDiscussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxmecklenburgstrelitzh
 
discussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxdiscussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxmecklenburgstrelitzh
 
Discussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxDiscussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxmecklenburgstrelitzh
 
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxDiscussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxmecklenburgstrelitzh
 
Discussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxDiscussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxmecklenburgstrelitzh
 

Mehr von mecklenburgstrelitzh (20)

Discussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docxDiscussion - Week 3Elements of the Craft of WritingThe narra.docx
Discussion - Week 3Elements of the Craft of WritingThe narra.docx
 
Discussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docxDiscussion - Microbial ClassificationGive names of bacteria in.docx
Discussion - Microbial ClassificationGive names of bacteria in.docx
 
Discussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docxDiscussion (Chapter 7) What are the common challenges with which se.docx
Discussion (Chapter 7) What are the common challenges with which se.docx
 
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docxDiscussion - Big Data Visualization toolsSeveral Big Data Visu.docx
Discussion - Big Data Visualization toolsSeveral Big Data Visu.docx
 
Discussion - 1 Pick 2 different department team members and descri.docx
Discussion - 1  Pick 2 different department team members and descri.docxDiscussion - 1  Pick 2 different department team members and descri.docx
Discussion - 1 Pick 2 different department team members and descri.docx
 
Discussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docxDiscussion (Chapter 7) What are the common challenges with which .docx
Discussion (Chapter 7) What are the common challenges with which .docx
 
Discussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docxDiscussion (Chapter 7) What are the common challenges with whic.docx
Discussion (Chapter 7) What are the common challenges with whic.docx
 
Discussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docxDiscussion (Chapter 6) List and briefly describe the nine-step .docx
Discussion (Chapter 6) List and briefly describe the nine-step .docx
 
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docxDiscussion (Chapter 5) What is the relationship between Naïve Bayes.docx
Discussion (Chapter 5) What is the relationship between Naïve Bayes.docx
 
Discussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docxDiscussion (Chapter 4) What are the privacy issues with data mini.docx
Discussion (Chapter 4) What are the privacy issues with data mini.docx
 
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docxDiscussion (Chapter 3) Why are the originalraw data not readily us.docx
Discussion (Chapter 3) Why are the originalraw data not readily us.docx
 
Discussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docxDiscussion (Chapter 5) What is the relationship between Naïve B.docx
Discussion (Chapter 5) What is the relationship between Naïve B.docx
 
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook  or see the ppt) For ea.docxDiscussion (Chapter 10 in the textbook  or see the ppt) For ea.docx
Discussion (Chapter 10 in the textbook or see the ppt) For ea.docx
 
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docx
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docxDiscussion (Chapter 1) Compare and contrast predictive analytics wi.docx
Discussion (Chapter 1) Compare and contrast predictive analytics wi.docx
 
Discussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docxDiscussion (400 words discussion + 150 words student response)Co.docx
Discussion (400 words discussion + 150 words student response)Co.docx
 
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docxDiscussion (150-200 words) Why do you think so much emphasis is pla.docx
Discussion (150-200 words) Why do you think so much emphasis is pla.docx
 
discussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docxdiscussion (11)explain the concept of information stores as th.docx
discussion (11)explain the concept of information stores as th.docx
 
Discussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docxDiscussion #5 How progressive was the Progressive EraThe Progres.docx
Discussion #5 How progressive was the Progressive EraThe Progres.docx
 
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docxDiscussion #4, Continued Work on VygotskyA. Why is it important .docx
Discussion #4, Continued Work on VygotskyA. Why is it important .docx
 
Discussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docxDiscussion #4 What are the most common metrics that make for an.docx
Discussion #4 What are the most common metrics that make for an.docx
 

Kürzlich hochgeladen

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphThiyagu K
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application ) Sakshi Ghasle
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3JemimahLaneBuaron
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...EduSkills OECD
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...RKavithamani
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpinRaunakKeshri1
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationnomboosow
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxRoyAbrique
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdfSoniaTolstoy
 

Kürzlich hochgeladen (20)

Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Z Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot GraphZ Score,T Score, Percential Rank and Box Plot Graph
Z Score,T Score, Percential Rank and Box Plot Graph
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
Hybridoma Technology ( Production , Purification , and Application )
Hybridoma Technology  ( Production , Purification , and Application  ) Hybridoma Technology  ( Production , Purification , and Application  )
Hybridoma Technology ( Production , Purification , and Application )
 
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3Q4-W6-Restating Informational Text Grade 3
Q4-W6-Restating Informational Text Grade 3
 
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
Presentation by Andreas Schleicher Tackling the School Absenteeism Crisis 30 ...
 
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
Privatization and Disinvestment - Meaning, Objectives, Advantages and Disadva...
 
Student login on Anyboli platform.helpin
Student login on Anyboli platform.helpinStudent login on Anyboli platform.helpin
Student login on Anyboli platform.helpin
 
Interactive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communicationInteractive Powerpoint_How to Master effective communication
Interactive Powerpoint_How to Master effective communication
 
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptxContemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
Contemporary philippine arts from the regions_PPT_Module_12 [Autosaved] (1).pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdfBASLIQ CURRENT LOOKBOOK  LOOKBOOK(1) (1).pdf
BASLIQ CURRENT LOOKBOOK LOOKBOOK(1) (1).pdf
 

For this weeks business law research assignment, you will conduct r.docx

  • 1. For this week's business law research assignment, you will conduct research pertaining to internet fraud and internet fraud statistics. Using sites of your choice, research information on "Internet Fraud" and "Internet Fraud Statistics". You may wish to consult sources such as the National Fraud Information Center ( http://www.fraud.org ) and the Internet Crime Complaint Center ( http://ic3.gov/media/annualreports.aspx ). Use Microsoft Word to create 1-2 page essay that responds to the following: Why do you think Internet fraud has resulted in many new business laws and regulations? Do you feel that there are differences between face-to-face business law and Internet business law? Why or why not? Compare the reports you have selected. Pick the most current set of statistics available and compare them to the statistics from five years earlier. How do they compare? Discuss why you feel there is such a difference. How have the Internet scams changed over the years? Do you see a trend in any area of Internet fraud? What would you suggest to assist with these problems? How might business laws, which are already in place, play a role in controlling fraud on the Internet?