Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process | |
Dai, Nanru1; Deng, Ren1; Tang, Siyi1; Zhang, Shanshan1; Li, Xijie2 | |
2021-06-25 | |
会议名称 | 13th International Conference on Computer Modeling and Simulation, ICCMS 2021 |
会议录名称 | ICCMS 2021 - Proceedings of the 13th International Conference on Computer Modeling and Simulation |
页码 | 140-147 |
会议日期 | 2021-06-25 |
会议地点 | Virtual, Online, Australia |
出版者 | Association for Computing Machinery |
产权排序 | 2 |
摘要 | Summer jobs have become an increasingly popular topic among high school students these days. They provide invaluable enrichment opportunities to make money and gain experience and skills. However, due to the outbreak of coronavirus, it is more challenging for high school students to identify the most appropriate summer jobs for them. We first identify related variables and collect data useful to our model. We consider 22 different summer jobs and consider variables including income, company size, risks, comfort, and skills to be gained. For the overall model, we adopt an Analytic Hierarchy Process to evaluate the weights or relative importance of each variable for each individual. Combining the weights we calculate from both models, we then obtain the overall weighting used for each individual. However, considering students usually want to have an array of open options to choose from, we utilize K-Means clustering rather than simply returning the one single "best"job. Then, the best cluster of job options is output to our user. In regards to the fictional characters, we develop 10 different characters that we believe are highly representative of the US high school student population. Application of our developed model onto these fictional characters indicates that our model is fairly effective in identifying the most appropriate summer jobs for students. © 2021 ACM. |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1145/3474963.3474983 |
收录类别 | EI |
ISBN号 | 9781450389792 |
语种 | 英语 |
EI入藏号 | 20214411086123 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/95188 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.BASIS International School, China; 2.Xi'An Institute of Optics and Precision Mechanics of CAS, China |
推荐引用方式 GB/T 7714 | Dai, Nanru,Deng, Ren,Tang, Siyi,et al. Comprehensive Evaluation Method of Job Satisfaction Based on Improved Analytic Hierarchy Process[C]:Association for Computing Machinery,2021:140-147. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
iccms21-20.pdf(1242KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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