CN111489136A - Enterprise salary management system - Google Patents

Enterprise salary management system Download PDF

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CN111489136A
CN111489136A CN202010300382.5A CN202010300382A CN111489136A CN 111489136 A CN111489136 A CN 111489136A CN 202010300382 A CN202010300382 A CN 202010300382A CN 111489136 A CN111489136 A CN 111489136A
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于洁
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Abstract

The application provides an enterprise salary management system; relates to human resource automatic management and block chain technology; the enterprise salary management system comprises: the factor acquisition module is used for acquiring influence factors associated with salary of the staff; the salary determination module is used for generating a transaction comprising total salary matched with the staff, and the total salary is obtained by calling an intelligent contract operated by a plurality of nodes in the block chain network to execute a total salary model; and the salary determination module is also used for submitting the transaction to a node in the block chain network so as to verify the transaction and storing the total salary of the employee to a database of the block chain network after the verification is passed. Through the application, staff compensation can be managed reliably and accurately.

Description

Enterprise salary management system
Technical Field
The present application relates to human resource automation management and block chaining technologies, and in particular, to an enterprise compensation management system.
Background
The core of modern enterprise management is human, while incentives are the core of human management. The consideration incentive is actually put in the most important position to research how to effectively mobilize the enthusiasm of the staff and improve the working efficiency.
In the scheme of enterprise management and performance assessment provided by the prior art, no effective solution is available for ensuring the accuracy and reliability of performance assessment, so that the growth degree of an enterprise is taken as a core, and the maximum satisfaction degree and the most effective incentive of employees are achieved.
Disclosure of Invention
The embodiment of the present application provides an enterprise compensation management system, including:
a factor collection module to collect impact factors associated with compensation of employees, the impact factors including: at least one of opportunity factor, level factor, working duration factor, post category factor, quality factor, performance factor and region factor;
the salary determination module is used for generating a transaction for determining salary of the employee based on the collected influence factors, wherein the transaction comprises total salary matched with the employee, and the total salary is obtained by calling an intelligent contract executed total salary model operated by a plurality of nodes in a block chain network;
wherein the plurality of nodes are run by different managers of an enterprise;
the total compensation model is as follows: gtotal=γγ1γ2Gb(t)+G1;GtotalIs total compensation, Gb(t) is the basic salary of the post when the working length of the employee is t, G1Is a bonus, gamma is a chance factor, gamma1Is a scale factor, gamma2Is a regional factor;
wherein the content of the first and second substances,
Figure BDA0002453769170000021
GTis the target payroll, G0Is initial wage, T is the wage adjusting period of the staff, k is a performance assessment factor determined by the quality factor and the performance factor of the staff;
the compensation determining module is further configured to submit the transaction to a node in the blockchain network, so as to verify the transaction, and store the total compensation of the employee to a database of the blockchain network after the verification is passed.
In the above solution, the compensation determining module is further configured to construct a transaction proposal carrying the impact factor, and send the transaction proposal to a plurality of endorsement nodes in the block chain network, so that the endorsement nodes invoke the intelligent contract to perform the following processing based on the impact factor:
determining a performance assessment factor k of the employee based on the quality factor and the performance factor of the employee;
wherein the content of the first and second substances,
Figure BDA0002453769170000022
X1is a prime factor, X2Is a performance factor, 0 is not more than β1≤1,0≤β2≤1,β12=1;
Initial wage G based on the employee0And the target payroll G corresponding to the payroll adjustment periodTAnd the performance assessment factor k determines the basic salary G of the post when the working length of the employee is tb(t);
Wherein G is0=(1-k0)G0A+k0G0B,GT=(1-kT)GTA+kTGTB;G0A、G0B、GTAAnd GTBIs a constant number, G0∈[G0A,G0B],GT∈[GTA,GTB];
Wherein the content of the first and second substances,
Figure BDA0002453769170000023
X10x is a quality factor of 0-X in the trial period of the employee10≤100,X20The performance factor of the trial period of the employee is X or more than 020≤100;
Figure BDA0002453769170000024
X1TX is a target quality factor of the employee, wherein X is more than or equal to 01T≤100,X2TIs the target performance factor of the employee, X is more than or equal to 02T≤100;
Determining the bonus G of the employee based on the employee's post category factor1
Based on the determined basic position wage G when the working length of the employee is tb(t) the prize G1Executing the total compensation model to obtain the total compensation of the staff;
the salary determination module is further configured to receive proposal responses returned by the endorsement nodes after signing the endorsement for the total salary, and generate the transaction based on the proposal responses.
In the above scheme, when the post classification factor of the employee is sales class, the prize money G of the employee1Comprises the following steps:
Figure BDA0002453769170000031
α is proportional, is a constant coefficient, N is the number of customers,
Figure BDA0002453769170000032
for actual sale, C*For the expected sales cost, σiFor actual discount, σ*To be tolerable discount, G1iFor additional awards, XiSales to the ith customer;
when the employee's post category factor is of the non-sales class, the employee's prize G1Comprises the following steps:
Figure BDA0002453769170000033
χ is the prize adjustment coefficient and H is the prize base.
In the above scheme, the salary determination module is further configured to submit the transaction to a sequencing service node in the blockchain network, so that the sequencing service node packages the transaction into blocks and broadcasts the blocks to a billing node, so that the billing node verifies the transaction in the blocks, and stores the total salaries of the employees to an account book database and a state database of the blockchain network after the verification is passed.
In the above solution, the enterprise compensation management system further includes:
the salary query module is used for generating a transaction for querying the total salary of the employee and submitting the transaction to the nodes in the block chain network so as to return the total salary of the employee after the transaction verification is passed;
and the salary output module is used for outputting the returned total salaries of the employees.
The application of the embodiment of the application has the following beneficial technical effects:
1) acquiring influence factors associated with salary of the staff through a factor acquisition module, calling intelligent contracts operated by a plurality of nodes in a block chain network through a salary determination module based on the acquired influence factors, and executing a total salary model to obtain total salary matched with the staff; the total compensation model is constructed based on the performance assessment factor determined by the quality factor and the performance factor, the target salary of the employee and the initial salary, so that the total compensation of the employee obtained based on the total compensation model is more in line with the expectation of the user on compensation, and the effective excitation of the employee can be realized;
2) submitting a transaction containing employee total compensation to a node in the blockchain network through a compensation determining module so as to store the employee total compensation to a database of the blockchain network after the transaction is verified; therefore, the uplink processing of the determined staff salary is realized, and the anti-tampering of the staff salary information is effectively realized;
3) a plurality of nodes in the blockchain are operated by different managers of the enterprise; therefore, on the basis of managing the employee salary based on the block chain, the multi-party collaborative management of different managers in an enterprise on the employee salary is realized, and the determined total salary of the employee is higher in adaptation degree with the employee.
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FIG. 1 is a schematic diagram of an application scenario of an enterprise compensation management system according to an embodiment of the present application;
fig. 2 is a functional architecture diagram of a blockchain network 200 according to an embodiment of the present disclosure;
FIG. 3 is a schematic diagram of an application scenario of an enterprise compensation management system according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a "pyramid" excitation mechanism provided in an embodiment of the present application;
FIG. 5 is a schematic diagram of a change curve of a basic station wage of an employee over time according to an embodiment of the present application;
FIG. 6 is a schematic diagram illustrating a procedure for evaluating payroll intervals according to an embodiment of the present disclosure;
FIG. 7 is a payroll list and trend chart for an employee as provided by an embodiment of the present application;
FIG. 8 is a graphical illustration of a prize growth curve for an employee as provided by an embodiment of the present application;
fig. 9 is a hardware structure schematic of an electronic device provided in an embodiment of the present application.
Detailed Description
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
Before further detailed description of the embodiments of the present application, terms and expressions referred to in the embodiments of the present application will be described, and the terms and expressions referred to in the embodiments of the present application will be used for the following explanation.
1) A transaction Proposal (promusal) is a request for executing a smart contract invocation (hereinafter simply referred to as executing a transaction) included in a transaction, including an identification of a channel that receives the transaction, an identification of a smart contract that needs to be invoked in the channel, and parameter information that needs to be passed to the invoked smart contract.
2) Transactions (transactions), equivalent to the computer term "Transaction," include operations that need to be committed to a blockchain network for execution and do not refer solely to transactions in the context of commerce, which embodiments of the present application follow in view of the convention colloquially used in blockchain technology.
For example, a deployment (deployment) transaction is used to install a specified smart contract to a node in a blockchain network and is ready to be invoked; the Invoke (Invoke) transaction is used to append records of the transaction in the blockchain by invoking the smart contract and to perform operations on the state database of the blockchain, including update operations (including adding, deleting, and modifying key-value pairs in the state database) and query operations (i.e., querying key-value pairs in the state database).
3) A Block chain (Blockchain) is a storage structure for encrypted, chained transactions formed from blocks (blocks).
4) A Blockchain Network (Blockchain Network) incorporates new blocks into a set of nodes of a Blockchain in a consensus manner.
5) Ledger (L edge), which is a collective term for blockchains (also called ledger data) that record transactions in the form of files in a file system, and state databases that are synchronized with blockchains that record transactions in blockchains in the form of different types of Key (Key) Value (Value) pairs for supporting fast queries of transactions in blockchains.
6) Intelligent Contracts (Smart Contracts), also known as chain codes (chaincodes) or application codes, are programs deployed in nodes of a blockchain network, and the nodes execute the intelligent Contracts called in received transactions to perform operations of updating or querying key-value data of a state database.
7) Consensus (Consensus), a process in a blockchain network, is used to agree on transactions in a block among a plurality of nodes involved, the agreed block is to be appended to the end of the blockchain, and the mechanisms for achieving Consensus include Proof of workload (PoW, Proof of Work), Proof of rights and interests (PoS, Proof of equity (DPoS), Proof of granted of shares (DPoS), Proof of Elapsed Time (PoET, Proof of Elapsed Time), and so on.
Based on the above explanations of terms and terms involved in the embodiments of the present application, the enterprise compensation management system provided by the embodiments of the present application will be described next. Fig. 1 is a schematic diagram of an optional application scenario of an enterprise compensation management system according to an embodiment of the present application, and referring to fig. 1, the application scenario includes a block chain network 200 (exemplarily shown to include a node 210-1 to a node 210-3), a block chain management platform 300, an enterprise compensation management system 400 (exemplarily shown to be a terminal 500-1 and a graphical interface 510-1 thereof belonging to the enterprise compensation management system 400), and a plurality of business departments belonging to an enterprise (exemplarily shown to be a terminal 500-2 and a terminal 500-3 belonging to different business departments).
The type of the blockchain network 200 is flexible and various, and may be any one of a public chain, a private chain, or a federation chain, for example, in the embodiment of the present application, the federation chain is taken as an example for illustration. After obtaining the authorization of the blockchain management platform 300, the electronic device under the jurisdiction of the service entity can access the blockchain network 200, and thus becomes a client node in the blockchain network 200. The client node may be implemented by default or selectively (e.g., depending on the specific traffic needs of the traffic body) for the functions of the consensus node 210 of the blockchain network 200, such as a ranking function, a consensus service, and an accounting function, etc., that provide support for the traffic body to initiate transactions (e.g., for uplink storage of data or for querying of data on the chain) as a mere observer of the blockchain network 200. Therefore, the data and the service processing logic of the service subject can be migrated into the block chain network 200 to the maximum extent, and the credibility and traceability of the data and service processing process are realized through the block chain network 200.
In the application scenario shown in fig. 1, after the enterprise compensation management system 400 obtains authorization from the block chain management platform 300, the electronic device (server/terminal) managed by the enterprise compensation management system 400 accesses the block chain network 400.
Through the communication connections established with the terminals (e.g., 500-2 and 500-3) of the various business departments in the enterprise, the enterprise compensation management system 400 collects impact factors associated with compensation of employees; the impact factor is used for determining the total compensation of the impact staff, and comprises the following steps: at least one of opportunity factor, level factor, working duration factor, post category factor, quality factor, performance factor and region factor;
the opportunity factor is determined by factors such as background and competition situation, and in actual implementation, the opportunity factor can be a constant set after the factors such as background and competition situation are combined; the level factor refers to the level corresponding to the position where the employee is located; the working duration factor refers to the working duration of the employee from the time of entry to the present; the post category factor refers to a category corresponding to the post where the employee is located, such as a sales category; the quality factor refers to the quality of the staff and can be obtained by the comprehensive ability index, the working attitude index and the team cooperation spirit index of the staff; the performance factor refers to the performance index of the enterprise; the area factor refers to the employee's work location.
After acquiring the influence factor associated with the salary of the employee, the enterprise salary management system 400 invokes an intelligent contract run by a plurality of nodes in the block chain network to execute a total salary model, so as to obtain the total salary adapted to the employee, further generate a transaction containing the total salary for determining the salary of the employee, and submit the transaction to the nodes in the block chain network to verify the transaction, and store the total salary of the employee to the database in the block chain network after the verification is passed.
In practical application, nodes in the blockchain network can be operated by different managers of an enterprise, and then in a verification stage of a transaction, verification of the transaction can be cooperatively realized by multiple managers, for example, verification of the transaction is realized in a mode of voting by each manager, so that multi-party cooperative management of different managers in the enterprise on employee salaries is realized, and further the determined total salary of the employees is higher in adaptation degree with the employees.
An exemplary functional architecture of a block chain network provided in the embodiment of the present application is described below, referring to fig. 2, fig. 2 is a schematic functional architecture diagram of a block chain network 200 provided in the embodiment of the present application, which includes an application layer 1, a consensus layer 2, a network layer 3, a data layer 4, and a resource layer 5, and the following description is separately given below.
The resource layer 5 encapsulates the computing, storage, and communication resources that implement each node 210 in the blockchain network 200.
The data layer 4 encapsulates various data structures that implement the ledger, including blockchains implemented as files in a file system, key-value type state databases, and presence certificates (e.g., hash trees of transactions in blocks).
The network layer 3 encapsulates the functions of a Point-to-Point (P2P) network protocol, a data propagation mechanism and a data verification mechanism, an access authentication mechanism and service body identity management.
Wherein the P2P network protocol implements communication between nodes 210 in the blockchain network 200, the data propagation mechanism ensures propagation of transactions in the blockchain network 200, and the data verification mechanism implements reliability of data transmission between nodes 210 based on cryptography methods (e.g., digital certificates, digital signatures, public/private key pairs); the access authentication mechanism is used for authenticating the identity of the service subject added into the block chain network 200 according to an actual service scene, and endowing the service subject with the authority of accessing the block chain network 200 when the authentication is passed; the business entity identity management is used to store the identity of the business entity that is allowed to access blockchain network 200, as well as the permissions (e.g., the types of transactions that can be initiated).
Consensus layer 2 encapsulates the functions of a mechanism for node 210 in blockchain network 200 to agree on a block (i.e., a consensus mechanism), transaction management, and ledger management. The consensus mechanism comprises consensus algorithms such as POS, POW and DPOS, and the pluggable consensus algorithm is supported.
The transaction management is configured to verify a digital signature carried in the transaction received by the node 210, verify identity information of the service entity, and determine whether the service entity has the right to perform the transaction (read related information from the identity management of the service entity) according to the identity information; for the service agents authorized to access the blockchain network 200, the service agents all have digital certificates issued by the certificate authority, and the service agents sign the submitted transactions by using private keys in the digital certificates of the service agents, so that the legal identities of the service agents are declared.
The ledger administration is used to maintain blockchains and state databases. For the block with the consensus, adding the block to the tail of the block chain; executing the transaction in the acquired consensus block, updating the key-value pairs in the state database when the transaction comprises an update operation, querying the key-value pairs in the state database when the transaction comprises a query operation and returning a query result to the client node of the business entity. Supporting query operations for multiple dimensions of a state database, comprising: querying the chunk based on the chunk sequence number (e.g., hash value of the transaction); inquiring the block according to the block hash value; inquiring a block according to the transaction serial number; inquiring the transaction according to the transaction serial number; inquiring account data of a business main body according to an account (serial number) of the business main body; and inquiring the block chain in the channel according to the channel name.
The application layer 1 encapsulates various services that can be implemented by the blockchain network, including tracing, crediting, and verifying transactions.
In some embodiments, the nodes in the blockchain network 200 may be divided into different types according to the implemented functions, as an example of the division of the blockchain network 200 into different types shown in fig. 1, referring to fig. 3, fig. 3 is a schematic view of another optional application scenario of the enterprise compensation management system provided in this embodiment, and the enterprise compensation management system provided in this embodiment will be described based on fig. 3.
After registering at the authentication center 310, the enterprise compensation management system obtains a digital certificate for declaring the identity information of the member, so that the nodes in the blockchain network 200 can verify the reliability of the message, and the like.
The enterprise salary management system accesses the blockchain network 200 to become a client node 410 in the blockchain network 200, in fig. 3, except the client node (client node 410), the nodes in the blockchain network 200 have functions of verifying transactions and accounting by default, wherein the nodes having functions of verifying transactions and accounting only are called accounting nodes (Committer), and also comprise some special types of accounting nodes, namely an endorsement node (Endorser), a sequencing node (order) and a main node (L reader Peer).
As an example of setting up a channel in the blockchain network 200, nodes in the blockchain network 200 may join channels of different organizations, such as organization 1 and organization 2 that develop different services, and nodes belonging to members of the organization 1/2 in the blockchain network 200 may correspondingly join channels of the organization 1/2, and nodes within each channel receive transactions related to services of the belonging organization and record the transactions into an account book, which is isolated for nodes outside the channel.
In some embodiments, the enterprise compensation management system 410 collects impact factors associated with compensation of employees from multiple business department terminals, such as opportunity factors, level factors, duration of work factors, post category factors, quality factors, performance factors, and regional factors; then, based on the collected influence factors, a transaction proposal is constructed and sent to a plurality of endorsement nodes in the block chain network, wherein the transaction proposal comprises the following steps: the signature of the caller, the identification of the channel on which the transaction was received, the identification of the smart contract that needs to be invoked in the channel, and the aforementioned impact factors that need to be passed to the invoked smart contract.
After receiving the transaction proposal sent by the enterprise salary management system 410, the endorsement node performs some verifications, such as whether the format of the transaction proposal is correct, whether the transaction is submitted, whether the transaction signature is valid, and the like, and after the verification is passed, calls an intelligent contract, simulates and executes business logic in the intelligent contract to execute a total salary model to obtain total salary of the employee, and then performs signature endorsement on the obtained total salary and returns a proposal response to the enterprise salary management system 410.
The enterprise salary management system 410 collects enough proposal responses, and when it is determined that the endorsement policy is satisfied, may invoke the SDK to package the transaction proposal, proposal response, and endorsement signature to generate a transaction for determining the salary of the employee, and submit the transaction to the sort node in the blockchain network 200.
After receiving the transaction, the sequencing node in the blockchain network 200 determines whether the channel required to receive the transaction is the channel of the organization 1 or the channel of the organization 2 according to the identifier of the channel in the transaction, constructs a block corresponding to the channel of the organization 1 and a block corresponding to the channel of the organization 2 according to the sequence of receiving the transaction corresponding to each channel, and correspondingly sends the blocks to the master node in the channel of the organization 1/the organization 2, so that the master node broadcasts the generated blocks to the accounting node in the blockchain network 200.
The main node is a node for representing the communication between other accounting nodes in the channel and the sequencing node, and is used for acquiring the latest block from the sequencing node and synchronizing the latest block in the channel; the master node may be forced or generated by dynamic election.
The accounting node in the blockchain network 200 verifies the transactions in the blocks, such as verifying the validity of the transactions and verifying the endorsement policy, and adds the blocks to the tails of the respective maintained blockchains after the verification is passed, and updates the ledger database and the status database by using the transaction results (total compensation of employees) of the transactions in the blocks.
Here, verification of a block is explained. In some embodiments, a voting method may be used to ensure data consistency between nodes in the blockchain network, for example, the consensus algorithm used is a Redundant Byzantine Fault Tolerance (RBFT). In the embodiment of the present application, since the plurality of nodes in the blockchain network 200 are respectively operated by different managers of the enterprise, in the verification stage of the blocks, each manager confirms (votes) the received blocks to achieve consensus on the transaction, and then performs accounting.
In some embodiments, after storing the total salary of the employee in the database of the blockchain network, the enterprise salary management system 410 may further query the total salary of the employee, specifically, the enterprise salary management system 410 constructs a transaction proposal for querying the total salary of the employee, and the transaction proposal includes an intelligent contract call related to the query operation; the nodes of the blockchain network 200 execute intelligent contract invocation included in the transaction proposal to query the ledger, and carry the queried total salary of the employee as a transaction result in a proposal response to return to the enterprise salary management system 410, and correspondingly, the enterprise salary management system 410 outputs the queried total salary of the employee.
The following is a description of the total compensation model in the above embodiment of the present application.
The total compensation model provided by the embodiment of the application is constructed based on the performance assessment factor of the staff, the target salary of the staff and the initial salary, the total compensation model takes the growth degree of an enterprise as a core, the total compensation of the staff obtained based on the total compensation model is more in line with the expectation of the user on compensation, and the effective incentive of the staff can be realized.
Employees in a business, if willing to grow with the business, address at least two issues: first, businesses and employees have consistent value acceptance; second, the employee balances the payments made by the employee to the business with the payments made by the employee. The enterprise and the staff are often contradictory in terms of staff reward and staff contribution, a reasonable reward incentive mechanism is needed for solving the contradiction, and the total compensation model provided by the application enables a compensation system of the enterprise to have the following characteristics:
1) the whole has external competitiveness;
2) the quality and contribution of the employee are accurately measured;
3) fairness is displayed inside the enterprise;
4) the operability is realized;
5) the salary promotion of the staff is progressive;
6) show support for the development of companies.
In some embodiments, the total compensation model provided by the present application may correspond to a "pyramid" incentive mechanism, fig. 4 is a schematic diagram of the "pyramid" incentive mechanism provided by the present application, and referring to fig. 4, the total compensation model is composed of wages, bonus incentives, assessment incentives, crisis incentives, and enterprise cultural incentives. Through fig. 4, it can be seen that the bottom surface of the pyramid is payroll + bonus, which indicates that payroll and bonus are the root and base of the enterprise payroll incentive, which is the most direct tool for activating the enthusiasm of the employee, and is the fuel for rapidly converting the employee into the motive force for work.
In some embodiments, the total compensation of the employee includes two parts, namely, a post basic payroll part and a bonus part, and the corresponding total compensation model provided by the embodiment of the present application is:
Gtotal=γγ1γ2Gb(t)+G1; (1)
wherein G istotalIs total compensation, Gb(t) is the basic payroll of the post when the working length of the employee is t, G1Is a bonus, gamma is a chance factor, gamma1Is a scale factor, gamma2Is a regional factor.
The post basic payroll portion and the prize portion of the total compensation model will be described separately.
The basic payroll part of the post in the total compensation model will be explained first. The basic wages of the posts of the staff basically show an e-function trend along with time, fig. 5 is a curve diagram of the basic wages of the posts of the staff, which is provided by the embodiment of the application, along with fig. 5, the abscissa t is the working time (i.e. the working time) of the staff, and the ordinate G is the basic wages of the posts of the staff.
The basic principle of setting the basic payroll of the post is to grade the post and grade the payroll. Therefore, the method is beneficial to attracting and encouraging excellent backbone staff, and can also avoid the situation that the basic wages of the staff posts do not change along with the change of post responsibilities. Even though the same post, the rank is different, the post payroll is different. For example, the enterprise divides the staff positions into management, research and development, marketing, IT, auxiliary and production according to their properties and importance, and further divides each category, for example, further divides marketing into categories to obtain sales, products, market finance, bidding business, customer service and marketing engineering; the table 1 is a job-level wage comparison table, and referring to the table 1, the ideas of rating by post, rating by level, personnel matching, easy post and easy salary are fully embodied.
Figure BDA0002453769170000121
Figure BDA0002453769170000131
TABLE 1
Employee's post basic wage Gb(t) is the initial payroll G0And target payroll GTOne payroll in between. For a certain employee, the trend of the basic wages of the post is generally as follows: entering the company with a promissory wage of a certain trial period, and after the trial period, determining a corrected wage for the company, namely an initial wage G0At the corrected time, the company will set a target payroll G for himTThis payroll is the direction in which the company will adjust payroll for him in the future. The payroll adjustment period may be set according to actual needs, and in practical applications, the adjustment time may be T-10 years, GTWill be adjusted appropriately as the employee changes.
Wherein the initial payroll G0And target payroll GTAre determined within a given interval, the interval may be different for each department, i.e. G0∈[G0A,G0B],GT∈[GTA,GTB]。
Here, for a station payroll interval (i.e., G)0A、G0B、GTA、GTBAnd) determination will be described. Fig. 6 is a schematic view of an evaluation process of a payroll interval according to an embodiment of the present application, and referring to fig. 6, a station value evaluation system generally includes four links, namely, station analysis, station evaluation, market compensation survey, and station payroll interval determination. The purpose of the initial post evaluation of the enterprise is to objectively and fairly evaluate all posts of the enterprise through different latitudes and a series of scientific programs, so that a relative value interval of each post is obtained. Firstly, determining post settings according to an organization structure and a development target of a company, clearly describing the mutual relation among all posts, analyzing the posts and writing a post specification; secondly, evaluating the post value to obtain complete information about post work and sorting and analyzing the information; on the basis of the classification of the stations, from differentSelecting representative posts from different levels of the job department as standard posts, making a post value evaluation index system, selecting post value evaluation indexes for each job department, giving corresponding weights to the post value evaluation indexes, and grading each index; thirdly, market salary investigation, which is a measure for solving salary design external fairness, and enterprises in the same industry, the same region and the same specification are selected for investigation; finally, the payroll interval corresponding to each position is determined.
Determining G based on the above0A、G0B、GTAAnd GTBThen, the initial wage G is next paired0And target payroll GTThe determination of (2) is explained. G0And GTThe method is mainly determined according to the moral quality and the business capability of the staff, and is shown as the following formula:
G0=(1-k0)G0A+k0G0B; (2)
GT=(1-kT)GTA+kTGTB; (3)
wherein k is0Performance assessment factor, k, for employee trial periodTA target performance assessment factor for the employee; k is a radical of0And kTThe value needs to be determined by means of performance assessment, and the performance assessment factor k of an employee can be determined by the following formula:
Figure BDA0002453769170000141
wherein, X1Is a prime factor, X2Is a performance factor, 0 is not more than β1≤1,0≤β2≤1,β12=1。
Here, the prime factor X1The comprehensive capacity index C1, the working attitude index C2 and the team cooperation spirit index C3 are weighted; performance factor X2The performance evaluation method of the 'balance scorecard' is mainly adopted to determine the performance index of the company from four aspects, namely: customer angle, internal operations angle, learning and development angle, and financial angle. As a means for evaluating the business performance of enterprisesThe effective tool, the balance scorecard, adopts the method of measuring the future performance driving factor of the enterprise, and has the function of strategic management.
The same can be obtained according to the formula (4):
Figure BDA0002453769170000142
wherein, X10Is a trial period prime factor, and X is more than or equal to 010≤100;X20Is a performance factor of trial period, and X is more than or equal to 020≤100;β1And β2Is a weight of two factors, and 0 is less than or equal to β1≤1,0≤β2≤1,β12=1。
The same can be obtained according to the formula (4):
Figure BDA0002453769170000143
wherein, is a target prime factor, and X is more than or equal to 01T≤100X1T;X2TIs a target performance factor, and X is more than or equal to 02T≤100;β1And β2Is a weight of two factors, and 0 is less than or equal to β1≤1,0≤β2≤1,β12=1。
Here, the performance assessment factor k may be explained by the following table 2:
total score in this year (%) Comprehensive evaluation
96<k≤100 Is outstanding in
91<k≤95 Is excellent in
81<k≤90 Good effect
60<k≤80 Need to be improved
k≤60 Has not reached the requirement
TABLE 2
The performance appraisal is indispensable in an enterprise, can provide an objective and fair basis for evaluating and appraising employees, and also makes reasonable reference for exciting the employees.
At the determination of initial payroll G0And target payroll GTThen, the intermediate G is aligned0And GTStation basic wage G betweenbThe determination of (t) will be explained.
As can be seen from FIG. 5, the employee's station basic wage Gb(t) -the working time t (experience) curve of the employee is in the form of an e-function, namely:
Gbt(t)=α-λe-kt; (7)
where k is a performance assessment factor, which may be interpreted as a compensation factor, α and λ are undetermined coefficients.
Considering the conversion wage G0And target payroll GTThe definition of (3) can be derived:
Gbt(t)=α-λe-kt=GT-(GT-G0)e-kt; (8)
here, when t is 0, Gbt(t)=G0When t is ∞, Gbt(t)=GT
For example. Fig. 7 is a payroll list and a trend chart of employees provided by an embodiment of the present application, and referring to fig. 7, an employee B, C enters a company at the same time, initial payrolls are all 5000 yuan, target payrolls are all 8000 yuan, and assuming that T is 10 years, e is 1.2, the performance assessment level of B is stable at 0.5, and the performance assessment level of C is maintained at 0.6, then a payroll list and a trend chart of B, C two employees can refer to fig. 7.
t tends to infinity is an ideal state, the general target payroll only predicts the payroll situation after 5 or 10 years, and the time infinite payroll situation cannot be predicted, so the actual target payroll GTFor the payroll when T ═ T (T ≠ 0), we find:
Figure BDA0002453769170000161
based on the initial wage G of the employee, the method can be seen0And the target payroll G corresponding to the payroll adjustment periodTAnd the performance assessment factor k determines the basic salary G of the post when the working length of the employee is tb(t)。
The bonus portion of the total compensation model is described next.
The basic point of performance enhancement design herein is close to business strategy. Firstly, the benchmark of the performance assessment reflects the target pursued by the enterprise, and secondly, the compensation system established on the basis of the performance assessment is also consistent with the enterprise strategy.
To reflect the pursuit of growth companies, for the promotion of sales personnel, we adopted increasing proportions of business sales to encourage employees to achieve higher sales performance. While the prizes for other departments are also weighted according to the average prize for sale and the profit of the business.
In the embodiment of the application, different position category factors correspond to different bonus determination modes, when the position category factor of the employee is in a sales class, because the increased sales volume is used as the base of the bonus improvement ratio to more stimulate the sales enthusiasm and the potential of the salesperson, the bonus of the salesperson can be determined by the following formula:
G1=αX; (10)
wherein α is an extraction proportion, generally takes a value of 1%, and can vary according to the self condition of the enterprise and the sales interval, X is the increment of the effective sales and the last year comparison, and is a constant coefficient set according to actual needs, and X is the effective sales.
For example, the sales of the salesman A in 2018 and 2020 increases by 50 ten thousand yuan, 100 ten thousand yuan and 200 ten thousand yuan respectively, and the proportion is 1%, and a prize growth curve diagram 8 of the salesman A can be obtained according to the formula (10).
In order to make equation (10) more reasonable and operable, the following modifications are also required:
1, impact of sales cost on effective sales.
In the daily sales process, sales personnel should save seriously to save expenses for companies, some necessary hospitalizing expenses can be determined by self, more than a certain expense such as 1000 yuan should be approved by a supervisor of a department manager, and the general manager is required to approve in special occasions. In one example, a company uses sales fees as specified below:
(1) the sales amount is 3% of the sales amount of the product under 100 ten thousand yuan;
(2) the sales amount is 2% of the sales amount of 100 plus 500 ten thousand yuan;
(3) the sales amount is more than 500 ten thousand yuan which is 1 percent of the sales amount.
According to the above specification, the current marketing cost is awarded and punished as follows:
when the actual cost exceeds the limit (i.e., the expected sales cost), the corrected sales amount for the ith customer is:
Figure BDA0002453769170000171
wherein i is 1,2, …, N is the number of clients,
Figure BDA0002453769170000172
for actual sale, C*For the expected sales cost.
Additional award G to the sales person when the actual sales cost is below the limit (i.e., the expected sales cost)1i(assuming m% for cost savings (e.g., 20%), the value of m can be set according to actual needs) is:
Figure BDA0002453769170000173
2, Effect of discounts on available sales
In terms of price, it can be implemented according to the existing company regulations, and the right of the seller to give the client a discount is n% (e.g. 30%), and more than n% should be covered by the governing department. The discount of the customer is converted into the sales amount of the salesperson, the discount benchmark is n%, and when the discount exceeds n%, the corrected sales amount is as follows:
Figure BDA0002453769170000174
wherein σiFor actual discount, σ*Is a tolerable discount.
In conclusion, when the employee's position category factor is sales category, the employee's prize G1Comprises the following steps:
Figure BDA0002453769170000175
based on the above equation (13), the actual sales cost is determined by determining the extraction ratio α, the constant coefficient, the number of customers N, and the actual sales cost
Figure BDA0002453769170000176
Expected sales cost C*Actual discount σiTolerable discount sigma*Bonus prize G1iAnd the sales amount for each customer, the employee's prize may be obtained.
Wherein G is the time when the actual sales cost exceeds the expected sales cost for a certain client i 1i0; when the actual sales cost is lower than the expected sales cost,
Figure BDA0002453769170000181
the employee's prize G when the employee's post category factor is non-sales1Comprises the following steps:
Figure BDA0002453769170000182
wherein χ is a bonus adjusting coefficient, and H is a bonus base.
Here, the prize base H can be determined by the following formula:
Figure BDA0002453769170000183
wherein 0 is not more than η1≤1,0≤η2≤1,η1+η 21, namely one percentage, N is the number of companies, EVA is the economic added value, also called economic profit, which is the net amount of the operating net profit minus the capital investment cost after enterprise tax in a certain period; g1sAverage prizes for sale at the same level; these coefficients are determined by the management layer of the company according to the business situation.
By taking the EVA as a reference core, the incentive for the staff is confirmed by calculating the EVA, in other words, a part of the EVA appreciation is returned to the staff, managers and even general staff of the enterprise pay attention to the development capability of the enterprise like stockholders of the enterprise, the prosperity and the disgust of the enterprise are really considered as own prosperity and the proprietor of the staff is strengthened to be fully consciously and intensely served for the survival and development of the enterprise.
As an example, the employee's prize scaling factor χ is as follows:
in the first year: the bonus adjustment coefficient is 0.70;
in the second year: the bonus adjustment coefficient is 0.80;
in the third year: the bonus adjustment coefficient is 0.90;
in the fourth year and beyond: the prize adjustment coefficient is 1.00.
Thus, the description of the employee's total compensation model has been completed.
In the total compensation model of the embodiment of the application, the post basic payrollThere is a basic assumption in the model that an employee goes from business to retirement and the curve of the basic salary follows the e-function law. The point-taking calculation on the payroll curve is based on the result X of the performance assessment1And X2The calculation of the prize is divided into two parts to be considered: bonuses for sales and other department employees; wherein the sales person's prize is calculated substantially in sales increments and the other department's employees prize is X1And X2The results of (a) are calculated on the basis. However, money does not represent all, correct rights and mental incentives, making employees fully motivated, and is also an important factor to consider in the incentive scheme.
Next, an electronic device running the enterprise compensation management system provided in the embodiment of the present application is described, where the electronic device may be a server, a server cluster, or a terminal in actual implementation, referring to fig. 9, where fig. 9 is a schematic hardware structure of the electronic device provided in the embodiment of the present application, and the electronic device includes: at least one processor 410, memory 450, at least one network interface 420, and a user interface 430. The various components in the electronic device are coupled together by a bus system 440. It is understood that the bus system 440 is used to enable communications among the components. The bus system 440 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 440 in FIG. 9.
The Processor 410 may be an integrated circuit chip having Signal processing capabilities, such as a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like, wherein the general purpose Processor may be a microprocessor or any conventional Processor, or the like.
The user interface 430 includes one or more output devices 431, including one or more speakers and/or one or more visual displays, that enable the presentation of media content. The user interface 430 also includes one or more input devices 432, including user interface components that facilitate user input, such as a keyboard, mouse, microphone, touch screen display, camera, other input buttons and controls.
The memory 450 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid state memory, hard disk drives, optical disk drives, and the like. Memory 450 optionally includes one or more storage devices physically located remote from processor 410.
The memory 450 includes either volatile memory or nonvolatile memory, and may include both volatile and nonvolatile memory. The nonvolatile memory may be a Read Only Memory (ROM), and the volatile memory may be a Random Access Memory (RAM). The memory 450 described in embodiments herein is intended to comprise any suitable type of memory.
In some embodiments, memory 450 is capable of storing data, examples of which include programs, modules, and data structures, or a subset or superset thereof, to support various operations, as exemplified below.
An operating system 451, including system programs for handling various basic system services and performing hardware-related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and handling hardware-based tasks;
a network communication module 452 for communicating to other computing devices via one or more (wired or wireless) network interfaces 420, exemplary network interfaces 420 including: bluetooth, wireless compatibility authentication (WiFi), and Universal Serial Bus (USB), etc.;
a presentation module 453 for enabling presentation of information (e.g., user interfaces for operating peripherals and displaying content and information) via one or more output devices 431 (e.g., display screens, speakers, etc.) associated with user interface 430;
an input processing module 454 for detecting one or more user inputs or interactions from one of the one or more input devices 432 and translating the detected inputs or interactions.
In some embodiments, the enterprise compensation management system provided by the embodiment of the present application may be implemented in software, and fig. 9 illustrates an enterprise compensation management system 455 stored in a memory 450, which may be software in the form of programs and plug-ins, and includes the following software modules: a factor collecting module 4551 and a compensation determining module 4552, which are logical and thus may be arbitrarily combined or further split according to the functions implemented. The functions of the respective modules will be explained below.
In other embodiments, the enterprise salary management system provided by the embodiments of the present Application may be implemented in hardware, for example, the enterprise salary management system provided by the embodiments of the present Application may be a processor in the form of a hardware decoding processor, for example, the processor in the form of a hardware decoding processor may be implemented by one or more Application Specific Integrated Circuits (ASICs), DS ps, Programmable logic devices (P L D, Programmable L) Complex Programmable logic devices (CP L D, Complex Programmable L) Field Programmable Gate arrays (FPG a), or other electronic components.
Continuing with the exemplary architecture in which the enterprise compensation management system provided by the embodiments of the present application is implemented as software modules, in some embodiments, as shown in fig. 9, the software modules stored in the enterprise compensation management system 455 of the memory 450 may include:
a factor collecting module 4551 configured to collect impact factors associated with compensation of employees, the impact factors including at least one of: opportunity factors, level factors, working duration factors, post category factors, quality factors, performance factors and region factors;
a salary determination module 4552, configured to generate, based on the collected impact factors, a transaction for determining salary of the employee, where the transaction includes total salary adapted to the employee, and the total salary is obtained by invoking an intelligent contract executed by multiple nodes in a block chain network to execute a total salary model;
wherein the plurality of nodes are operated by different managers of the enterprise, respectively;
the total compensation model is as follows: gtotal=γγ1γ2Gb(t)+G1;GtotalIs total compensation, Gb(t) is the basic salary of the post when the working length of the employee is t, G1Is a bonus, gamma is a chance factor, gamma1Is a scale factor, gamma2Is a regional factor;
wherein the content of the first and second substances,
Figure BDA0002453769170000211
GTis the target payroll, G0Is initial wage, T is the wage adjusting period of the staff, k is a performance assessment factor determined by the quality factor and the performance factor of the staff;
the compensation determining module is further configured to submit the transaction to a node in the blockchain network, so as to verify the transaction, and store the total compensation of the employee to a database of the blockchain network after the verification is passed.
In some embodiments, the compensation determining module 4552 is further configured to construct a transaction proposal carrying the impact factor, and send the transaction proposal to a plurality of endorsement nodes in the blockchain network, so that the endorsement nodes invoke the intelligent contract to perform the following processing based on the impact factor:
determining a performance assessment factor k of the employee based on the quality factor and the performance factor of the employee;
wherein the content of the first and second substances,
Figure BDA0002453769170000212
X1is a prime factor, X2Is a performance factor, 0 is not more than β1≤1,0≤β2≤1,β12=1;
Initial wage G based on the employee0And the target payroll G corresponding to the payroll adjustment periodTAnd the performance assessment factor k determines the basic salary G of the post when the working length of the employee is tb(t);
Wherein G is0=(1-k0)G0A+k0G0B,GT=(1-kT)GTA+kTGTB;G0A、G0B、GTAAnd GTBIs a constant number, G0∈[G0A,G0B],GT∈[GTA,GTB];
Wherein the content of the first and second substances,
Figure BDA0002453769170000221
X10x is a quality factor of 0-X in the trial period of the employee10≤100,X20The performance factor of the trial period of the employee is X or more than 020≤100;
Figure BDA0002453769170000222
X1TX is a target quality factor of the employee, wherein X is more than or equal to 01T≤100,X2TIs the target performance factor of the employee, X is more than or equal to 02T≤100;
Determining the bonus G of the employee based on the employee's post category factor1
Based on the determined basic position wage G when the working length of the employee is tb(t) the prize G1Executing the total compensation model to obtain the total compensation of the staff;
the salary determination module is further configured to receive proposal responses returned by the endorsement nodes after signing the endorsement for the total salary, and generate the transaction based on the proposal responses.
In some embodiments, the employee's prize G when the employee's station category factor is sales class1Comprises the following steps:
Figure BDA0002453769170000223
α is proportional, is a constant coefficient, N is the number of customers,
Figure BDA0002453769170000224
for actual sale, C*For the expected sales cost, σiFor actual discount, σ*To be tolerable discount, G1iFor additional awards, XiSales to the ith customer;
when the employee's post category factor is of the non-sales class, the employee's prize G1Comprises the following steps:
Figure BDA0002453769170000225
χ is the prize adjustment coefficient and H is the prize base.
In some embodiments, the salary determination module is further configured to submit the transaction to a sequencing service node in the blockchain network, so that the sequencing service node packages the transaction into blocks and broadcasts the blocks to a billing node, so that the billing node verifies the transaction in the blocks, and stores the total salary of the employee to an account database and a status database of the blockchain network after the verification is passed.
In some embodiments, the enterprise compensation management system further comprises:
a salary query module 4553, configured to generate a transaction proposal for querying a total salary of the employee, and submit the transaction proposal to a node in the block chain network, so as to return the total salary of the employee after the transaction proposal is verified;
a compensation output module 4554, configured to output the total compensation of the employee.
The above description is only an example of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, and improvement made within the spirit and scope of the present application are included in the protection scope of the present application.

Claims (5)

1. An enterprise compensation management system, comprising:
a factor collection module to collect impact factors associated with compensation of employees, the impact factors including at least one of: opportunity factors, level factors, working duration factors, post category factors, quality factors, performance factors and region factors;
the salary determination module is used for generating a transaction for determining salary of the employee based on the collected influence factors, wherein the transaction comprises total salary matched with the employee, and the total salary is obtained by calling an intelligent contract executed total salary model operated by a plurality of nodes in a block chain network;
wherein the plurality of nodes are operated by different managers of the enterprise, respectively;
the total compensation model is as follows: gtotal=γγ1γ2Gb(t)+G1;GtotalIs total compensation, Gb(t) is the basic salary of the post when the working length of the employee is t, G1Is a bonus, gamma is a chance factor, gamma1Is a scale factor, gamma2Is a regional factor;
wherein the content of the first and second substances,
Figure FDA0002453769160000011
GTis the target payroll, G0Is initial wage, T is the wage adjusting period of the staff, k is a performance assessment factor determined by the quality factor and the performance factor of the staff;
the compensation determining module is further configured to submit the transaction to a node in the blockchain network, so as to verify the transaction, and store the total compensation of the employee to a database of the blockchain network after the verification is passed.
2. The enterprise compensation management system of claim 1,
the salary determination module is further configured to construct a transaction proposal carrying the influence factor, and send the transaction proposal to a plurality of endorsement nodes in the block chain network, so that the endorsement nodes invoke the intelligent contract to perform the following processing based on the influence factor:
determining a performance assessment factor k of the employee based on the quality factor and the performance factor of the employee;
wherein the content of the first and second substances,
Figure FDA0002453769160000012
X1is a prime factor, X2Is a performance factor, 0 is not more than β1≤1,0≤β2≤1,β12=1;
Initial wage G based on the employee0And the target payroll G corresponding to the payroll adjustment periodTAnd the performance assessment factor k determines the basic salary G of the post when the working length of the employee is tb(t);
Wherein G is0=(1-k0)G0A+k0G0B,GT=(1-kT)GTA+kTGTB;G0A、G0B、GTAAnd GTBIs a constant number, G0∈[G0A,G0B],GT∈[GTA,GTB];
Wherein the content of the first and second substances,
Figure FDA0002453769160000021
X10x is a quality factor of 0-X in the trial period of the employee10≤100,X20The performance factor of the trial period of the employee is X or more than 020≤100;
Figure FDA0002453769160000022
X1TX is a target quality factor of the employee, wherein X is more than or equal to 01T≤100,X2TIs the target performance factor of the employee, X is more than or equal to 02T≤100;
Determining the bonus G of the employee based on the employee's post category factor1
Based on the determined basic position wage G when the working length of the employee is tb(t) the prize G1Executing the total compensation model to obtainTotal compensation to the employee;
the salary determination module is further configured to receive proposal responses returned by the endorsement nodes after signing the endorsement for the total salary, and generate the transaction based on the proposal responses.
3. The enterprise compensation management system of claim 2,
when the employee's post category factor is sales class, the employee's bonus G1Comprises the following steps:
Figure FDA0002453769160000023
α is proportional, is a constant coefficient, N is the number of customers,
Figure FDA0002453769160000024
for actual sale, C*For the expected sales cost, σiFor actual discount, σ*To be tolerable discount, G1iFor additional awards, XiSales to the ith customer;
when the employee's post category factor is of the non-sales class, the employee's prize G1Comprises the following steps:
Figure FDA0002453769160000025
χ is the prize adjustment coefficient and H is the prize base.
4. The enterprise compensation management system of claim 1,
the salary determination module is further configured to submit the transaction to a sequencing service node in the blockchain network, so that the sequencing service node packages the transaction into blocks and broadcasts the blocks to a billing node, so that the billing node verifies the transaction in the blocks, and stores the total salaries of the employees to an account book database and a state database of the blockchain network after the verification is passed.
5. The enterprise compensation management system of claim 1, further comprising:
the salary query module is used for generating a transaction proposal for querying the total salary of the employee and submitting the transaction proposal to a node in the block chain network so as to return the total salary of the employee after the transaction proposal passes verification;
and the salary output module is used for outputting the total salaries of the employees.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112507972A (en) * 2020-12-28 2021-03-16 贵州东冠科技有限公司 Performance assessment system based on block chain
CN113516448A (en) * 2021-06-22 2021-10-19 汪靖源 Efficient performance compensation management method
TWI829177B (en) * 2022-05-25 2024-01-11 第一商業銀行股份有限公司 Employee performance appraisal method and system based on blockchain

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002133049A (en) * 2000-10-27 2002-05-10 Yours Brain:Kk System for calculating salary amount
CN107451722A (en) * 2017-07-06 2017-12-08 广东电网有限责任公司信息中心 A kind of emolument provides monitor and analysis system
CN109685450A (en) * 2018-12-01 2019-04-26 河南中欧企业咨询有限公司 A kind of employee's wage and salary administration system based on block chain
CN110728500A (en) * 2019-12-19 2020-01-24 国网电子商务有限公司 Enterprise employee full life cycle management method and system based on block chain

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002133049A (en) * 2000-10-27 2002-05-10 Yours Brain:Kk System for calculating salary amount
CN107451722A (en) * 2017-07-06 2017-12-08 广东电网有限责任公司信息中心 A kind of emolument provides monitor and analysis system
CN109685450A (en) * 2018-12-01 2019-04-26 河南中欧企业咨询有限公司 A kind of employee's wage and salary administration system based on block chain
CN110728500A (en) * 2019-12-19 2020-01-24 国网电子商务有限公司 Enterprise employee full life cycle management method and system based on block chain

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112507972A (en) * 2020-12-28 2021-03-16 贵州东冠科技有限公司 Performance assessment system based on block chain
CN112507972B (en) * 2020-12-28 2024-04-26 贵州东冠科技有限公司 Performance assessment system based on blockchain
CN113516448A (en) * 2021-06-22 2021-10-19 汪靖源 Efficient performance compensation management method
TWI829177B (en) * 2022-05-25 2024-01-11 第一商業銀行股份有限公司 Employee performance appraisal method and system based on blockchain

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