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Optimization of size and timing of base salary increases
Abstract Salary administration research mostly examines the compensation guides in a subjective manner and lacks quantitative approaches. Recent failure instances of salary administration demonstrate the exiguity and/or inapplicability of scientific research in this area. This research considers the core aspects of theoretical salary administration while complying with the recent competitive working environment. In this article, a mathematical optimization approach that recognizes the significance of performance and potential to future promotions of employees is proposed to find the optimal salary increase amounts and to set an advantageous schedule for salary increases. The two objectives are combined with a weight, and a sensitivity analysis shows the impact of the weight on both objectives to provide managerial guidance. The resulting raise amounts satisfy both internal alignment and external competitiveness conditions and represent employee performance and potential for promotion. The proposed mixed integer programming problem can be solved with commercial solvers quickly, even for rather large instances. The short computational time directly addresses the challenge raised by the current trend that more enterprises hire a large number of exempt employees. Additionally, two cases are presented with detailed data collection to illustrate the applications and limitations of the proposed model.
Engineering EconomistENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍:
The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment.
The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.