当前位置: X-MOL 学术Journal of Global Scholars of Marketing Science › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Design and development of a digital platform for seasonal jobs: Improving the hiring process
Journal of Global Scholars of Marketing Science Pub Date : 2021-02-10 , DOI: 10.1080/21639159.2020.1808851
Nuno Martins 1 , Sérgio Dominique-Ferreira 2 , Cátia Lopes 3
Affiliation  

ABSTRACT

The seasonality of employment in tourism consists of challenges of hiring. The primary goal of this study was to develop a digital recruitment platform for the tourism industry. A two-step multidimensional approach was applied to the challenge. The first step was based on benchmarking and interviews with key stakeholders. The second step was based on visual identity factors, prototyping, and usability tests. Authors found that it was possible to develop a simple and intuitive digital platform that positively adjusted the dynamic hiring process for seasonal jobs. Improvements to the platform should include new metrics, such as evaluation of candidates who used this platform previously, based on different elements, such as emotional intelligence. In this way, profile matching could be optimized, and the platform tool would become more robust and useful. This study’s medium- and high-fidelity models of a digital platform to be utilized in human resources tasks are the new additions to toolkits that may streamline HR functions.



中文翻译:

季节性工作数字平台的设计和开发:改进招聘流程

摘要

旅游业就业的季节性包括招聘方面的挑战。本研究的主要目标是为旅游业开发一个数字招聘平台。对挑战采用了两步多维方法。第一步是基于基准测试和与主要利益相关者的访谈。第二步是基于视觉识别因素、原型设计和可用性测试。作者发现,可以开发一个简单直观的数字平台,积极调整季节性工作的动态招聘流程。对平台的改进应包括新的指标,例如基于不同元素(如情商)评估以前使用该平台的候选人。这样,可以优化配置文件匹配,并且平台工具将变得更加强大和有用。本研究中用于人力资源任务的数字平台的中高保真模型是可简化人力资源职能的工具包的新增功能。

更新日期:2021-02-10
down
wechat
bug