{"title":"企业应对危机的薪酬调整","authors":"Chen Chen Yong, Clement FU XING LOW","doi":"10.47836/ijeamsi.16.1.010","DOIUrl":null,"url":null,"abstract":"This study aims to investigate firms’ behavior on salary adjustment in response to the Covid-19 crisis and presents findings on median basic salary change in the Malaysian labor market by occupational groups during quarters 3 and 4, 2020. The result finds a lower prevailing salary offer for the newly employed. For high-skilled occupations, employees above the age of 40 have seen the median salary class dropping one class below, while the young cohort below age 40 climbs up one salary class. The study has employed different machine learning techniques to build classification models for the prediction of the binary outcomes, namely “salary freeze or cut”, or “salary increase”. The findings discovered that the important factors that increase the likelihood of a “salary\nfreeze or cut” for the newly employed had been consistently attributed to the occupational group by MASCO and the number of available job vacancies. Besides that, the job opportunity and salary potential for mid-skilled jobs are found to be shrinking despite the younger age cohort of workers receiving a higher median salary in Q4 as compared to Q3;\nthis, however, comes with a reduction in job vacancies.","PeriodicalId":40031,"journal":{"name":"International Journal of Economics and Management","volume":"71 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Firms’ Salary Adjustment in Response to Crises\",\"authors\":\"Chen Chen Yong, Clement FU XING LOW\",\"doi\":\"10.47836/ijeamsi.16.1.010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to investigate firms’ behavior on salary adjustment in response to the Covid-19 crisis and presents findings on median basic salary change in the Malaysian labor market by occupational groups during quarters 3 and 4, 2020. The result finds a lower prevailing salary offer for the newly employed. For high-skilled occupations, employees above the age of 40 have seen the median salary class dropping one class below, while the young cohort below age 40 climbs up one salary class. The study has employed different machine learning techniques to build classification models for the prediction of the binary outcomes, namely “salary freeze or cut”, or “salary increase”. The findings discovered that the important factors that increase the likelihood of a “salary\\nfreeze or cut” for the newly employed had been consistently attributed to the occupational group by MASCO and the number of available job vacancies. Besides that, the job opportunity and salary potential for mid-skilled jobs are found to be shrinking despite the younger age cohort of workers receiving a higher median salary in Q4 as compared to Q3;\\nthis, however, comes with a reduction in job vacancies.\",\"PeriodicalId\":40031,\"journal\":{\"name\":\"International Journal of Economics and Management\",\"volume\":\"71 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Economics and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47836/ijeamsi.16.1.010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Economics and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47836/ijeamsi.16.1.010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study aims to investigate firms’ behavior on salary adjustment in response to the Covid-19 crisis and presents findings on median basic salary change in the Malaysian labor market by occupational groups during quarters 3 and 4, 2020. The result finds a lower prevailing salary offer for the newly employed. For high-skilled occupations, employees above the age of 40 have seen the median salary class dropping one class below, while the young cohort below age 40 climbs up one salary class. The study has employed different machine learning techniques to build classification models for the prediction of the binary outcomes, namely “salary freeze or cut”, or “salary increase”. The findings discovered that the important factors that increase the likelihood of a “salary
freeze or cut” for the newly employed had been consistently attributed to the occupational group by MASCO and the number of available job vacancies. Besides that, the job opportunity and salary potential for mid-skilled jobs are found to be shrinking despite the younger age cohort of workers receiving a higher median salary in Q4 as compared to Q3;
this, however, comes with a reduction in job vacancies.
期刊介绍:
The journal focuses on economics and management issues. The main subjects for economics cover national macroeconomic issues, international economic issues, interactions of national and regional economies, microeconomics and macroeconomics policies. The journal also considers thought-leading substantive research in the finance discipline. The main subjects for management include management decisions, Small Medium Enterprises (SME) practices, corporate social policies, digital marketing strategies and strategic management. The journal emphasises empirical studies with practical applications; examinations of theoretical and methodological developments. The journal is committed to publishing the high quality articles from economics and management perspectives. It is a triannual journal published in April, August and December and all articles submitted are in English. IJEM follows a double-blind peer-review process, whereby authors do not know reviewers and vice versa. Peer review is fundamental to the scientific publication process and the dissemination of sound science.