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: Lemonade
    sub title: artificial intelligence-based value innovation in home and renters insurance industry
  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: bibliography
  genre: Electronic books.
  genre: Case studies.
  origin info:
    place:
      place term: enk
    date issued: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: The case discusses how Lemonade Inc., an insurtech startup, captured value for Millennials by lowering insurance premium requirements by almost 50% compared with that charged by large insurance companies, also processing claims within a few minutes. Lemonade especially utilized artificial intelligence and behavioral economics such that their business practice has zero paperwork and instantly approves insurance policies and claim reimbursements. However, by 2020 Lemonade had less than 0.1% of the home and renters insurance market in the United States, which was led by large insurance companies such as State Farm and Allstate. Lemonade's database also had a relatively small number of customers, which adversely influenced the preciseness of data required for behavioral analytics. If companies such as State Farm, with much larger databases, digitize their insurance products, Lemonade's challenges will become further aggravated. What can Lemonade CEO Daniel Schreiber use as competitive advantage against large traditional insurance companies? What should he do to improve the working of Lemonade's data analytics?
  target audience: specialized
  note: Arpita Agnihotri, Saurabh Bhattacharya.
  note: Includes bibliographical references and index.
  subject:
    geographic code: n-us---
  subject:
    topic: Homeowners insurance
    geographic: United States
    genre: Case studies
  subject:
    topic: Renters insurance
    geographic: United States
    genre: Case studies
  subject:
    topic: Assurance-propriétaire occupant
    geographic: États-Unis
    genre: Études de cas
  subject:
    topic: Homeowners insurance
  subject:
    topic: Renters insurance
  subject:
    geographic: United States
  classification: HG9986.37.L46 .A36 2022
  classification: 368.0960973
  related item:
    title info:
      title: SAGE Business
      part name: Cases
  identifier: 9781529772036
  identifier: 1529772036
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 211005
    record change date: 20240923171814.8
    record identifier: in00005497380
    language of cataloging:
      language term: eng