<?xml version="1.0" encoding="UTF-8"?>
<collection xmlns="http://www.loc.gov/MARC21/slim">
 <record>
  <leader>02847nam a22005051i 4500</leader>
  <controlfield tag="001">000709767</controlfield>
  <controlfield tag="003">CaToSAGE</controlfield>
  <controlfield tag="005">20240202172917.0</controlfield>
  <controlfield tag="005">20180103162434.3</controlfield>
  <controlfield tag="006">m|||||o||d||||||||</controlfield>
  <controlfield tag="007">cr |||||||||||</controlfield>
  <controlfield tag="008">180103s2018    enk    fob    001 0deng|d</controlfield>
  <datafield tag="STA" ind1=" " ind2=" ">
   <subfield code="a">NEZPRACOVANÝ IMPORT</subfield>
  </datafield>
  <datafield tag="020" ind1=" " ind2=" ">
   <subfield code="a">9781526431776 (ebook) :</subfield>
   <subfield code="c">No price</subfield>
  </datafield>
  <datafield tag="035" ind1=" " ind2=" ">
   <subfield code="a">(OCoLC)1023533861</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
   <subfield code="a">CaToSAGE</subfield>
   <subfield code="b">eng</subfield>
   <subfield code="c">CaToSAGE</subfield>
   <subfield code="e">rda</subfield>
   <subfield code="e">pn</subfield>
   <subfield code="d">UtOrBLW</subfield>
  </datafield>
  <datafield tag="050" ind1=" " ind2="4">
   <subfield code="a">HF5387</subfield>
   <subfield code="b">.R63 2018</subfield>
  </datafield>
  <datafield tag="082" ind1="0" ind2="4">
   <subfield code="a">174.4</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
   <subfield code="a">Robson, Karen,</subfield>
   <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
   <subfield code="a">People of Walmart :</subfield>
   <subfield code="b">targeting the world's largest retailer and its customers /</subfield>
   <subfield code="c">Karen Robson, Leyland Pitt.</subfield>
  </datafield>
  <datafield tag="264" ind1=" " ind2="1">
   <subfield code="a">London :</subfield>
   <subfield code="b">SAGE Publications: SAGE Business Cases Originals,</subfield>
   <subfield code="c">2018.</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
   <subfield code="a">1 online resource.</subfield>
  </datafield>
  <datafield tag="336" ind1=" " ind2=" ">
   <subfield code="a">text</subfield>
   <subfield code="b">txt</subfield>
   <subfield code="2">rdacontent</subfield>
  </datafield>
  <datafield tag="337" ind1=" " ind2=" ">
   <subfield code="a">computer</subfield>
   <subfield code="b">c</subfield>
   <subfield code="2">rdamedia</subfield>
  </datafield>
  <datafield tag="338" ind1=" " ind2=" ">
   <subfield code="a">online resource</subfield>
   <subfield code="b">cr</subfield>
   <subfield code="2">rdacarrier</subfield>
  </datafield>
  <datafield tag="490" ind1="1" ind2=" ">
   <subfield code="a">SAGE Knowledge. Cases</subfield>
  </datafield>
  <datafield tag="504" ind1=" " ind2=" ">
   <subfield code="a">Includes bibliographical references and index.</subfield>
  </datafield>
  <datafield tag="520" ind1="8" ind2=" ">
   <subfield code="a">This case explores the controversial viral website, peopleofwalmart.com, launched by Adam Kipple, Andrew Kipple, and Luke Wherry that mocks Walmart's shoppers and creates an online community for people who share similar senses of humor: The case illustrates how electronic word-of-mouth can take a controversial idea and skyrocket it into a viral website, however, not everybody appreciated the comedy or believed that exploiting people for cheap laughs was acceptable, particularly in those cases where people had been photographed without permission. In spite of this, the three founders created a successful, money-making platform. Issues regarding the future of the website, including: whether there is room for growth; whether it is ethical to make fun of overweight and badly dressed people; and, beyond that, whether it is ethical to make money out of making fun of people will be dealt with in this case. In addition, the case prompts students to think about the impact that the controversial website has on Walmart itself and encourages students to consider issues related to social media, ethics, and cyberbullying.</subfield>
  </datafield>
  <datafield tag="588" ind1=" " ind2=" ">
   <subfield code="a">Description based on XML content.</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2="7">
   <subfield code="a">elektronické knihy</subfield>
   <subfield code="7">fd186907</subfield>
   <subfield code="2">czenas</subfield>
  </datafield>
  <datafield tag="655" ind1=" " ind2="9">
   <subfield code="a">electronic books</subfield>
   <subfield code="2">eczenas</subfield>
  </datafield>
  <datafield tag="600" ind1="1" ind2="0">
   <subfield code="a">Kipple, Adam.</subfield>
  </datafield>
  <datafield tag="600" ind1="1" ind2="0">
   <subfield code="a">Kipple, Andrew.</subfield>
  </datafield>
  <datafield tag="600" ind1="1" ind2="0">
   <subfield code="a">Wherry, Luke.</subfield>
  </datafield>
  <datafield tag="610" ind1="2" ind2="0">
   <subfield code="a">Wal-Mart (Firm)</subfield>
   <subfield code="v">Case studies.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Business ethics</subfield>
   <subfield code="v">Case studies.</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2="0">
   <subfield code="a">Cyberbullying</subfield>
   <subfield code="v">Case studies.</subfield>
  </datafield>
  <datafield tag="700" ind1="1" ind2=" ">
   <subfield code="a">Pitt, Leyland F.,</subfield>
   <subfield code="e">author.</subfield>
  </datafield>
  <datafield tag="830" ind1=" " ind2="0">
   <subfield code="a">SAGE Knowledge.</subfield>
   <subfield code="p">Cases.</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2="0">
   <subfield code="3">SAGE Knowledge</subfield>
   <subfield code="u">https://sk.sagepub.com/cases/people-of-walmart-targeting-the-worlds-largest-retailer-and-customers</subfield>
   <subfield code="y">Plný text</subfield>
  </datafield>
  <datafield tag="BAS" ind1=" " ind2=" ">
   <subfield code="a">SBC</subfield>
  </datafield>
  <datafield tag="BAS" ind1=" " ind2=" ">
   <subfield code="a">EB</subfield>
  </datafield>
  <datafield tag="993" ind1=" " ind2=" ">
   <subfield code="x">NEPOSILAT</subfield>
   <subfield code="y">EB</subfield>
  </datafield>
 </record>
</collection>
