{"title":"工业企业员工数量变化对利润的预测","authors":"E. Pankratov","doi":"10.24203/AJBM.V9I2.6551","DOIUrl":null,"url":null,"abstract":"ABSTRACT --This paper presents a model for choosing of quantity of employees of an industrial enterprise, which necessary to obtain the required profit. This model allows predicting the possibility of reducing the losses of the enterprise associated with working in the enterprise of an excessive number of employees (wages, payment for the treatment of sick employees, training new employees, ...). An analytical technique is proposed for solving the differential equation used in the model.","PeriodicalId":37487,"journal":{"name":"South Asian Journal of Business and Management Cases","volume":"73 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"On Prognosis of Profit with Changing of Quantity of Employees of In-dustrial Enterprises\",\"authors\":\"E. Pankratov\",\"doi\":\"10.24203/AJBM.V9I2.6551\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT --This paper presents a model for choosing of quantity of employees of an industrial enterprise, which necessary to obtain the required profit. This model allows predicting the possibility of reducing the losses of the enterprise associated with working in the enterprise of an excessive number of employees (wages, payment for the treatment of sick employees, training new employees, ...). An analytical technique is proposed for solving the differential equation used in the model.\",\"PeriodicalId\":37487,\"journal\":{\"name\":\"South Asian Journal of Business and Management Cases\",\"volume\":\"73 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"South Asian Journal of Business and Management Cases\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24203/AJBM.V9I2.6551\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"South Asian Journal of Business and Management Cases","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24203/AJBM.V9I2.6551","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
On Prognosis of Profit with Changing of Quantity of Employees of In-dustrial Enterprises
ABSTRACT --This paper presents a model for choosing of quantity of employees of an industrial enterprise, which necessary to obtain the required profit. This model allows predicting the possibility of reducing the losses of the enterprise associated with working in the enterprise of an excessive number of employees (wages, payment for the treatment of sick employees, training new employees, ...). An analytical technique is proposed for solving the differential equation used in the model.
期刊介绍:
South Asian Journal of Business and Management Cases (SAJBMC) is a peer-reviewed, tri-annual journal of Birla Institute of Management Technology, Greater Noida (India). The journal aims to provide a space for high-quality original research or analytical cases, evidence-based case studies, comparative studies on industry sectors, products, and practical applications of management concepts. The journal likes to publish problem-solving, decisional and applied types of cases. Such cases must have linkage with theory, at least one dilemma (also known as case issue) and a protagonist around whom the case issue will revolve. Publication of pure research, applied research and field studies with empirical data do not fall under the domain of SAJBMC. Fictitious cases are not welcome.