Abstract

1. Introduction

2. Evaluation Method of Human Resource Management Efficiency of Chain Retail Enterprises Based on Distributed Database

3. Experiment

4. Conclusion

Data Availability

Conflicts of Interest

Acknowledgments

References

Abstract

     The calculation of human resource management efficiency evaluation method is large, which affects the technical efficiency and scale efficiency of evaluation results. Based on distributed database, an evaluation method of human resource management efficiency of chain retail enterprises is proposed. Genetic algorithm is applied to the design of distributed database to realize the best data allocation scheme. The distributed database is used to store the human resource information of chain retail enterprises to ensure the data consistency and information availability. Select the input and output elements that can best reflect the human resource management status of chain retail enterprises in the distributed database, design the management efficiency evaluation index system, and construct the DEA evaluation model. After testing, the technical efficiency and scale efficiency of the design method in this paper are higher than the evaluation methods of human resource management efficiency of chain retail enterprises based on principal component analysis and fuzzy comprehensive evaluation, which is conducive to management decision-making.

Introduction

     Human resources were limited in the twenty-first century. Simultaneously, as a new capital, it has garnered increasing attention from society. Human resources may infuse organizations with life and help them compete more effectively. It is a term that refers to the efficient and rational deployment of this finite resource via materialization in order to optimize resource usage and economic advantages. Within an organization, good management enables the subjective initiative to flourish, operational costs to be reduced, and core competitiveness to be enhanced [1]. Level and efficiency have a direct impact on short-term progress and are critical in achieving long-term strategic goals. As a result, all sectors of society should manage their internal human resources scientifically and prudently in order to optimize revenues and foster long-term company growth [2]. However, as a result of the effect of factors such as inadequate professional quality and corporate culture on the managers of the majority of Chinese firms, the human resource management situation is often overlooked. For a long period of time, human resource management has been inefficient, and the realization of human resource value is not assured, which is very detrimental to long-term growth [3]. As a consequence, there is a pressing need to study management effectiveness.

     A chain operation is a modern business idea that comprises of several stores selling similar goods and services. The transportation and service sectors are the most affected. Despite the fact that it has not developed in China for a long time, this new business model has changed the way traditional single-store operations are performed, accelerated product circulation, and simplified people’s lives. It has steadily evolved into the primary organizational structure for China’s commercial operations, demonstrating a high level of vitality and growth potential. At the moment, chain operation is prevalent in all retail formats for store sales in China and has evolved into the primary growth method employed by retail firms. The share of merchants engaging in chain operations is likewise expanding in the retail business. By and large, China’s chain retailing business began late. Its management idea, technology application, human resource management level, and capital application are significantly inferior to those of worldwide chain organizations.

Conclusion

     In terms of investment, the evaluation indicators are selected from two aspects: human resource scale and human resource structure. In terms of output, indicators are selected from three aspects: profitability, business growth ability, and development innovation ability to form an innovative evaluation index system. The construction of the index system has laid a solid foundation for the follow-up research of this paper. This study is a new perspective on the efficiency of chain retail enterprises and provides a theoretical reference for the allocation. However, this paper has not been perfectly presented in the process of text description or empirical analysis, which needs to be improved by the latecomers. In order to fully understand the efficiency, it is necessary to establish an index system covering enterprise strategy, performance management, salary management, organizational structure, and so on, so as to minimize the subjectivity of index selection. There is a time difference between the input and output of any resource, and there is still no answer to the determination of the lag period of the output of human resource allocation. This paper does not consider the lag problem in the research, which is another deficiency of this paper. Future research should pay attention to the determination of lag length to make the research closer to reality.

A blockchain is a decentralised linked data structure that is characterised by its inherent resistance to data modification, but it is deficient in search queries primarily due to its inferior data formatting. A distributed database is also a decentralised data structure which features quick query processing and well-designed data formatting but suffers from data reliability. In this work, we showcase ChainSQL, an open-source system developed by integrating the blockchain with the database, i.e. we present a blockchain database application platform that has the decentralised, distributed and audibility features of the blockchain and quick query processing and well-designed data structure of the distributed databases. ChainSQL features a tamper-resistant and consistent multi-active database, a reliable and cost effective data-level disaster recovery backup and an auditable transaction log mechanism. The system is presented as an operational multi-active database along with the data-level disaster recovery backup and audibility features. A comprehensive experimental evaluation is performed to demonstrate the effectiveness of the system.

Introduction

Digital or crypto currencies such as, Bitcoin [1], Ethereum [2], Ripple [3] and others, have recently witnessed a tremendous interest from the user as well as the developer community [4, 5, 6]. The crypto currencies are essentially smart contracts between users which are executed using a data structure referred to as ‘blockchain’. Thus, a blockchain stores transactions whilst satisfying the following two constraints: (i) anyone should be able to write to the blockchain, and (ii) there should not be any centralised control. A blockchain is a database and an application software on top of it [7] that dictates the data definition and data update mechanism for the blockchain. A blockchain not only allows to add new data to the database but it also ensures that all the users on the network have exactly the same data. Thus, a blockchain is a distributed and decentralised linked data structure for data storage and retrieval which also ensures that the data is resistant to any modification. One of the limitations of blockchain is its inherent deficiency in search query processing [8] primarily due to the linked data storage and the absence of a well-defined data indexing structure for various queries. Bitcoin, for instance, is the most notable blockchain network; however, it has two limitations: (i) it takes a considerable amount of time, possibly up to ten minutes, for a transaction to be issued and verified and the final confirmation may take up to an hour, and (ii) a new block can only be generated by miners which requires extensive computational efforts. Databases, in addition to having a defined data structure are optimised for fast query processing, but are not resistant to data modifications [9]. More specifically, distributed databases have the following limitations: (a) database can be tampered either by a malicious user or by the database administrator, (b) the backup-based disaster recovery scheme of the database cannot be normally activated in the event of a system failure and causes data loss, and (c) the multiple copies of the database are not always entirely consistent and the data synchronisation operations are required to resolve data conflicts. Therefore, a blockchain-based database system is desirable that has the features of the blockchain and the distributed databases combined together such that the inherent resistance of the blockchain to data modification and the query speed of the distributed databases are simultaneously achieved.