rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Betabrand
    sub title: growth through crowdsourcing
  name:
    name part: Agnihotri, Arpita
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Bhattacharya, Saurabh
    role:
      role term: author.
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: enk
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: This case explains how Betabrand Inc (Betabrand), an online retail store providing clothing and accessories for men and women, manufactured the most popular clothing identified using crowdvoting of the designs, that is, the designs that best connected with fans. Chris Lindland, the founder and CEO of Betabrand, leveraged crowdvoting data to engage key audiences and make products that consumers wanted by also engaging them in designing the clothing rather than only voting on popular designs. Those ideas receiving the maximum votes were created through 3D printing as a prototype and displayed on the website. Betabrand encouraged customers to prepurchase based on the prototyped sample, and Betabrand undertook manufacturing if consumers ordered sufficient quantity for a particular prototype. By 2020 Betabrand wanted to improve the crowdvoting process further. How can Lindland improve the crowdvoting process? How can he leverage consumer design knowledge more effectively? The case encourages students to explore growth strategies that a firm can take. It also helps students examine the diversification strategy of a firm.
  target audience: specialized
  note: Arpita Agnihotri, Saurabh Bhattacharya.
  subject:
    topic: Crowdsourcing
    genre: Case studies
  subject:
    topic: Electronic commerce
    genre: Case studies
  subject:
    topic: Selling
    topic: Clothing
    genre: Case studies
  subject:
    topic: Externalisation ouverte
    genre: Études de cas
  subject:
    topic: Commerce électronique
    genre: Études de cas
  classification: HM746 .0A36 2024
  classification: 302.3
  related item:
    title info:
      title: SAGE Business cases
  identifier: 9781071922095
  identifier: 1071922092
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 231221
    record change date: 20240923171907.5
    record identifier: in00005498447
    language of cataloging:
      language term: eng