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Customized Decision Support for Older Adults in eCommerce Environments

Customized Decision Support for Older Adults in eCommerce Environments
电子商务环境中老年人的定制决策支持
批准号:
238808-2013
负责人:
Hassanein, Khaled
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2013
资助国家:
加拿大
项目状态:
已结题
起止时间:
2013-01-01 至 2014-12-31

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中文摘要
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英文摘要
Older adults are the fastest growing computer and Internet user group in both personal and workplace contexts in most developed countries. The natural physical and cognitive changes associated with the aging process result in many difficulties for this user group with online interfaces as well as in being able to make high quality decisions in eCommerce contexts. This situation ultimately deprives them from reaping the full utility of the Internet and causes them to be less satisfied with their overall online experiences. It also translates into a lost opportunity for online vendors due to the growing size and affluence of this consumer group.
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Enhancing Evidence-based Managerial Decisions through Customized Decision Support: A Neuro-Information Systems' Approach
  • 批准号:
    RGPIN-2022-05417
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2022
  • 负责人:
    Hassanein, Khaled
  • 依托单位:
Customized Decision Support for Older Adults in eCommerce Environments
  • 批准号:
    238808-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2021
  • 负责人:
    Hassanein, Khaled
  • 依托单位:
Customized Decision Support for Older Adults in eCommerce Environments
  • 批准号:
    238808-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2020
  • 负责人:
    Hassanein, Khaled
  • 依托单位:
Customized Decision Support for Older Adults in eCommerce Environments
  • 批准号:
    238808-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.82万
  • 财政年份:
    2019
  • 负责人:
    Hassanein, Khaled
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis