当前位置 :
Imaginethatyou'relookingatyourcompany-issuedsmartphoneandyounoticeane-mailfromLinkedin:"Thesecompaniesarelookingforcandidateslikeyou!"Youaren'tnecessarilysearchingforajob,butyou'realwaysopentoopportunitie
1人问答
问题描述:

Imagine that you're looking at your company-issued smartphone and you notice an e-mail fromLinkedin:"These companies are looking for candidates like you!"You aren't necessarily searchingfor a job,but you're always open to opportunities,so out of curiosity,you click on the link.A fewminutes later your boss appears at your desk."We've noticed that you're spending more time onLinkedin lately,so I want to talk with you about your career and whether you're happy here,"shesays.Uh-oh.

It's an awkward scene.Attrition(损耗) has always been expensive for companies,but in manyindustries the cost of losing good workers is rising,owing to tight labor markets.Thus companies areintensifying(增强) their efforts to predict which workers are at high risk of leaving so that managerscan try to stop them.Tactics(策略) range from electronic monitor to sophisticated(复杂的) analysesof employees'social media lives.

Some of this work may be a reason to let employees to quit.In general,people leave theirjobs because they don't like their boss,don't see opportunities for promotion or growth,or are offereda higher pay; these reasons have held steady for years.

New research conducted by CEB,a Washington-based technology company,looks not just atwhy workers quit but also at when."We've learned that what really affects people is their sense ofhow they're doing compared with other people in their peer group,or with where they thought theywould be at a certain point in life,"says Brian Kropp,who heads CEB's HR practice."We've learnedto focus on moments that allow people to make these comparisons."

Technology also provides clues about which star employees might be eyeing the exit.Companiescan tell whether employees usmg work computers or phones are spending time on (or even justopening e-mails from) career websites,and research shows that more firms are paying attention tothese things.Large companies have also begun tracking bad

段光明回答:
  32.C.推理判断题.根据第一段We've noticed that you're spending more time onLinkedin lately,so I want to talk with you about your career and whether you're happy here,"shesays.Uh-oh可知Linkedln是一个专业的社会网络;故选C.   33.D.段落大意题.根据第二段Thus companies areintensifying(增强) their efforts to predict which workers are at high risk of leaving so that managerscan try to stop them可知第二段的主要思想是已采取措施寻找可能离职的潜在工人;故选D.   34.B.细节理解题.根据第三段We've learned that what really affects people is their sense ofhow they're doing compared with other people in their peer group,or with where they thought theywould be at a certain point in life可知工人总是做比较是工人放弃他们的工作,最可能的原因;故选B.   35.A.推理判断题.根据最后一段Large companies have also begun tracking badge swipes(浏览痕迹)employees'use ofan ID to enter and exit the building or the parking garage-to identify patterns that suggest a workermay be interviewing for a job可知作者的写作目的是对这种现象进行评论;故选A.
最新更新
PC端 | 移动端 | mip端
字典翻译(zidianfy.com)汇总了汉语字典,新华字典,成语字典,组词,词语,在线查字典,中文字典,英汉字典,在线字典,康熙字典等等,是学生查询学习资料的好帮手,是老师教学的好助手。
声明:本网站尊重并保护知识产权,根据《信息网络传播权保护条例》,如果我们转载的作品侵犯了您的权利,请在一个月内通知我们,我们会及时删除。
电话:  邮箱:
Copyright©2009-2021 字典翻译 zidianfy.com 版权所有 闽ICP备2022014709号-7
lyric 頭條新聞