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Development of Human Resources Management System to Meet the Forecasted Demand

Student: Andrey Ivanov

Supervisor: Tatiana Yakushkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Bachelor)

Final Grade: 10

Year of Graduation: 2017

On-demand business models have become widely spread and popular during last several years. Such kind of business model usually satisfy consumer needs immediately as their product or service is asked. Many of these services use hybrid organizational structure, which is a mix of ordinary workers with fixed schedule and part-time independent workers who do their job when they want to, getting money for successful orders. On the one hand, dynamical number of people is an opportunity to cut costs on large personnel, but on the other hand, it creates the problem of uncertainty and low predictability of supply volumes, which business can offer to its clients. The goal of this paper is to solve the problem of unexpectancy and uncertainty of supply volumes in such on-demand businesses. When working time of part-time workers is uncertain, the task of estimating and forecasting volumes of supply becomes actual, as well as defining business processes for managing the supply to make it meet the demand. In order to solve this problem, the author suggests to develop an estimation and managing approach for supply, as well as to automate it via specialized human resource managing system, which includes working time tracking system and supply volume analyzing and forecasting tools. The suggested approach has been integrated in a real on-demand business and has succeeded in solving the main task of supply management and meeting of necessary demand. Detailed case of the suggested approach integration can be useful for current companies on the market in order to get new knowledge about supply management, as well as for new businesses, which can use the case as a guide on the topic of how to establish one of the most crucial business processes of their business model from scratch and succeed in supply management.

Full text (added May 20, 2017)

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