Research on E-Commerce Human Resource Innovation Management

in the Era of Big Data

Xiaoyi Yuan and Yu Chen

Chongqing College of Architecture and Technology, Chongqing, China

Keywords: Big Data Technology, E-Commerce Human Resource Management, Innovation.

Abstract: Through the use of big data mining technology, big data analysis technology, cloud computing technology

and Web technology, combined with the problems of e-commerce human resources management to build e-

commerce human resources innovation management system. The system has the function modules of updating

traditional concepts, improving human management and deepening data management. It not only

comprehensively optimizes the human resource management system, but also reflects the performance of big

data related technologies incisively and vividly. In addition, it also solves the problems existing in the

traditional e-commerce human resource management, realizes the intelligent management of e-commerce

human resource, and provides a strong support for the further development of e-commerce human resource

management.

1 INTRODUCTION

In the era of big data, e-commerce related industries

are expanding on a large scale, showing the following

phenomena: The total number of employees of

enterprises keeps increasing, while the number of

human resource management departments does not

increase, which is easy to form the contradiction

between the increase of workload and the control cost

of human resources; At present, most of the

employees in the enterprise belong to the post-90s

age group. There is a huge gap between the career

outlook and values of the post-90s employees and the

concept of the previous employees, and the high

turnover of employees, which increases the workload

of human resource management and also brings

challenges to human resource management. At

present, enterprises generally require college degree

or above, and the comprehensive quality of

employees should also be listed in the recruitment

requirements. For example, employees should not

only know the relevant knowledge of the company's

business, but also have the professional technology of

the post. The author thinks that by using big data

technology to construct the electronic commerce

application data platform, to solve the traditional

electronic commerce above problems existing in

human resource management, staff in a timely

manner to change ideas, into the new management

mode, and then predict the employee situation and

make decisions in time, in addition, both reach the

purpose of saving resources, and realize the effective

implementation of management.

2 OVERVIEW OF E-COMMERCE

HUMAN RESOURCE

MANAGEMENT

2.1 Contents of E-Commerce Human

Resource Management

Human resources refers to doing work by

communicating with people. It requires managers to

have the ability of coordination, integration,

judgment and imagination. Human resource

management refers to the management of internal and

external human resources of an enterprise through

recruitment, screening, training and other forms, so as

to meet the current and future development needs and

maximize the function of human resource

management while ensuring the completion of the

target. It can be divided into six parts, human resource

planning, recruitment and allocation, training and

development, performance management,

906

Yuan, X. and Chen, Y.

Research on E-Commerce Human Resource Innovation Management in the Era of Big Data.

DOI: 10.5220/0011357700003440

In Proceedings of the International Conference on Big Data Economy and Digital Management (BDEDM 2022), pages 906-911

ISBN: 978-989-758-593-7

compensation and welfare management and labor

relations management. However, there are some

problems in traditional manpower management, such

as old concept, old model and poor forecast.

2.2 Problems in E-Commerce Human

Resource Management

2.2.1 Outdated Concepts and High Costs

According to the survey, 22 percent of e-commerce

executives have some knowledge of big data and e-

commerce, 20 percent say they have heard of it, and

the rest are in a state of never heard of it. It can be

seen that the concept of human resource management

in e-commerce is still at the beginning, and the

emergence of new technologies is not understood.

Electronic commerce cost of human resource

management involves the acquisition, development

and utilization of human resources, departure and

safeguard the basic rights and interests of investment,

because with the development of the enterprise,

number of employees are on the increase, causing the

rise in the cost of human resource management, such

as the human resources department in obtaining a

large number of personnel information, to produce

recruitment costs, investigation cost. In a word, in the

era of big data, the concept of human resource

management has not been updated with the changing

times, and the cost is high.

2.2.2 Obsolete Mode and Difficult

Management

Electronic commerce human resource management

model obsolete, resulting in the implementation of

management work more difficult. For example, the

technical system of an e-commerce website is an

internal software system. In terms of human resource

management, the website has internal training and

recruitment, but there is no efficient information

management system. The outdated human resource

management mode makes it difficult for the human

resources department to evaluate the quality and

performance of employees and manage them

effectively from a comprehensive perspective.

(

Wang, 2016

)

2.2.3 Lack of Prediction and

Recruitment Difficulties

According to the survey, although an e-commerce

website has a set of its own platforms, such as

recruitment and training, the platform can only carry

out general statistical analysis, and there are still

deficiencies in intelligent recommendatory,

forecasting the trend of enterprise talent, predicting

the development curve of employees in the

enterprise, and the turnover tendency of potential

employees. This makes it difficult for enterprises to

forecast comprehensively and recruit people. (

Wang,

2017

)

To sum up, e-commerce human resource

management has the above three problems, which

need to be solved by big data technology, so as to

exert the functions of e-commerce human resource

management to the utmost.

3 BIG DATA TECHNOLOGY

According to the latest authoritative statistics, by

2021, the global big data market has reached 80

billion US dollars, with an average annual growth rate

of 15.37%. In the last two years, the development

trend of China's big data industry has been on the rise,

and with the strong support of national policies and

continuous capital investment, the scale of big data

will continue to grow in the next few years, but its

growth trend will gradually slow down.

Big data refers to massive amounts of data.

Specifically, big data refers to the use of conventional

tools to capture, manage and process data sets,

requiring efficient modes to process data sets. There

are many kinds of big data technologies, which are

mainly divided into five parts: data acquisition and

preprocessing, data storage, data cleaning, data

analysis and query, and data visualization. (3) The

framework diagram of basic big data processing

technology is shown in Figure 1.

The significance of big data lies in data mining

valuable data information and predictions. First, data

mines valuable data information. Big data is not only

the storage and processing of massive data, but also

the data mining. For many enterprises, using big data

technology to mine the potential value in data is the

key to the core competitiveness of enterprises.

Second, prediction. Data itself is a summary and

summary of past and present data, which does not

provide directional guidance. However, a new

thinking model that can predict the future

development of an enterprise can be established by

understanding the way of thinking in the past. [4]

Research on E-Commerce Human Resource Innovation Management in the Era of Big Data

907

Figure 1: Basic technical framework of big data processing.

This paper focuses on data mining and analysis in

big data technology. The function of data mining

technology is to mine the development and potential

problems of employees in the enterprise. Data

analysis technology is to analyze the data, managers

make corresponding decisions. Big data technology

will be very thorough analysis of employee data

information, so as to realize the recruitment of

intelligent recommendation talents, online self-

service learning system, and then e-commerce human

resource management can achieve efficient allocation

of human resources, human cost control, intelligent

recruitment management and other goals.

4 DESIGN AND

IMPLEMENTATION

4.1 Overall Architecture Design

The specific management processes involved in e-

commerce human resource management include

recruitment management, training management,

performance management, compensation and welfare

management, guidance management and promotion

management. The author will take recruitment

management, training management and guidance

management as examples to build an e-commerce

application big data platform, as shown in Figure 2.

The platform is built by using Web technology, big

data technology and cloud computing. Users through

the site and use the network to the platform, through

the transition before the old ideas, set up new concept,

with the time development by deepening data

management, improve human resources management

to achieve effective decisions, in the process need to

be applied to the big data base technology to realize

data management and decision-making, using cloud

computing technology to realize the custom design of

platform function module, through the use of barrage

technology to achieve specific functions. The

platform consists of e-commerce application of big

data processes and human resource management

involved in the content. The setting of the platform is

not only conducive to the efficient management of

employees by the human resources department, but

also conducive to the overall development of the

enterprise planning.

BDEDM 2022 - The International Conference on Big Data Economy and Digital Management

908

Figure 2: E-commerce application big data platform.

4.2 Detailed Functional Design

This part focuses on the introduction of methods and

technologies applied to recruitment management,

training management and guidance management in e-

commerce application big data platform. The specific

functional modules are shown in Figure 3.

Figure 3: Platform functional modules.

4.2.1 Recruitment Management

Hiring is more three-dimensional. The big data tool

Flume is used to collect the data of candidates in the

network, and Sqoop and HDFS are used to transmit

and store the data. Mapreduce and Spark are used to

calculate and clean the data. Hive tools are used to

analyze and query the analyzed data, and then use

specific formulas to calculate the job expectation and

the quality of candidates. Finally got the job

expectations and post match Numbers, again through

the matching degree of the intelligent screening, you

just need to make an appointment with the matching

degree is high talent, it saves in the recruitment

resume filtering, online first try, so as to improve the

recruitment efficiency, reduce the cost of hiring,

further enhance the efficiency and effectiveness of

the decision.

4.2.2 Training Management

Training management involves new technology

training, e-commerce knowledge training, enterprise

culture training and so on. After entering the training

management module of the platform, users can learn

various trainings in the module. After learning,

employees have a certain understanding of e-

commerce business, new technology big data,

enterprise culture and so on.

The specific training in the module is divided into

zero basic knowledge introduction course, learning

and subdivision course, easy learning of question

bank and knowledge application course content. In

the first three parts of the course, the information to

be used is uploaded to the platform through network

technology, and the platform identifies the difficulty

of the content and divides the types according to the

subsequent procedures. This function not only

provides learning materials for employees, but also

deepens their understanding of corporate culture.

After learning the first three parts of the course, the

user enters the fourth part of the course, knowledge

application. This part is divided into three parts,

which are application case base, case explanation and

technical discussion. The information involved in this

part is also obtained through uploading, and the

technical discussion part uses the bullet screen

technology. The feature of this part is that even if

there is no application case and case explanation

study, the study of the technical discussion part will

Research on E-Commerce Human Resource Innovation Management in the Era of Big Data

909

also make users receive a lot of goods, such as special

knowledge point explanation. Through this part of

learning, users will have a more thorough

understanding of their knowledge in new technology

and e-commerce, and gradually understand the

unknown areas in the process of learning knowledge,

so that users can not only realize learning, but also

timely reflection.

During the training, you need to create a shared

database, upload resources to the platform using the

cloud computing technology, and form a collection of

different types of storage devices using functions

such as the distributed file system to implement cloud

storage. Including enterprise internal information

sharing and external information sharing.

Information sharing is responsible for cataloging,

publishing, storing and retrieving data. For example,

enterprise internal information sharing, the first

display is the data catalog, the specific content

includes department planning, technology sharing,

department training. After the information is

published, it is stored and users can query the content

they want to know through retrieval. Through

network data sharing, employees can have a better

understanding of the internal development of the

enterprise, and their own positioning is also very

clear, and the goal of common progress of employees.

(

Zong, 2012

)

After training, employees will enhance their

understanding of new technology and e-commerce,

and improve their knowledge application ability.

4.2.3 Guidance and Management

Guided management is the e-commerce human

resource managers after forecasting the employees,

and then combined with all aspects of the employees

to carry out targeted guidance, so as to achieve

accurate prediction, efficient decision-making goals,

and then to achieve efficient management. This part

is divided into two parts, one is the prediction part,

the other is the targeted guidance part.

Predictions. The forecast is divided into four

parts. First, database data analysis. Database data

analysis is to preprocess the original data. Flume is

used to collect original data, Sqoop is used to transmit

data, and the data is stored in HDFS. Mapreduce and

Spark are used to calculate and clean data, and the

analyzed data is performed by Hive. Second, state

data analysis. Status data analysis is to re-analyze the

analyzed data, but this analysis needs specific

algorithms to realize the analysis of the future

development direction, such as the entry rate,

turnover rate, internal turnover rate. Third, operation

trend forecast. Operation trend prediction is to

monitor the data information existing in the operation

process. Fourth, predictive warnings. After

monitoring and analysis, the data of abnormal state

predicted by trend will be sent to the platform

manager, who will inform relevant personnel or deal

with it directly. This part enables the enterprise to

predict the development trend, development trend

and potential turnover tendency of employees, so as

to prepare for the targeted guidance in the next step.

Targeted guidance. Targeted guidance is designed

according to the age, position, demand, performance,

salary, welfare and other aspects of employees. This

part makes use of the basic technology of big data,

that is, by using Flume tool to collect employee data

information, and then through Sqoop transmission

and HDFS storage, the data is calculated and cleaned.

In this process, you need to use the Mapreduce tool,

which uses Map to preprocess data, screen out the

data to be used, and group the data. Then, use the

Reduce tool to calculate the data using custom

calculation methods and summarize the data. After

collecting the data, use Hive to analyze the cleaned

data, and use Echarts to display the data results.

Managers give targeted guidance to employees

according to the results of previous prediction and

present data display. For example, different ways are

adopted to motivate employees of different ages to

work efficiently according to their different work

requirements.

4.3 Technical Support

4.3.1 Big Data Technology

The big data technologies used in this document are

basic technologies, such as Flume, Sqoop, HDFS,

Mapreduce, Spark, Hive, and Echarts. These basic

technologies are used in each part of the process of

collecting, storing, calculating and cleaning raw data,

analyzing and querying, and applying results. And

these technologies all have the characteristics of

simple operation, fast operation, large scale, high

security, and the tools used in the data visualization

link display diversification. Through the use of this

technology, the data management is intelligent, and

the data obtained is the expected data, in addition, the

data results displayed have diversity, both can be

represented by dynamic graph, and can be displayed

in other static ways.

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4.3.2 The Cloud

Cloud computing is the product of deep integration of

traditional computer and network technologies, such

as distributed computing, parallel computing,

network storage, virtualization. The advantages of

cloud computing are large scale, virtualization,

scalability, strong computing and storage capabilities,

and high security. The use of this technology will

greatly reduce costs and improve efficiency. Cloud

computing services include IaaS, PaaS, SaaS. IaaS is

infrastructure service, PaaS is platform as a service,

and SaaS is software as a service. In this paper, SaaS

is used. SaaS is to enter the application platform

through the browser, but the platform needs to be

designed under the software based on the Web. The

advantage of SaaS is that the manager can customize

the design of software modules in the application

platform.

4.3.3 Barrage Technology

Bullet screen technology is realized by

superimposing three View interfaces, which are video

interface, bullet screen viewing interface and bullet

screen operation interface. Query methods such as

Toggle, animate. Toggle is a function used to design

the effects of bullets and animate to create custom

animations.

5 CONCLUSIONS

E-commerce human resource management

application platform is designed for the problems

existing in traditional e-commerce human resource

management. The design of the platform not only

solves the corresponding problems, but also realizes

the intelligent and efficient management of staff and

recruitment. It not only meets the needs of employee

development, but also encourages employees to

constantly improve themselves and work efficiently.

It has become the development direction of e-

commerce human resource management to acquire

and analyze data with the help of advanced

technology platforms, and the research data in this

direction will be more refined and visualized. In

addition, the analysis tools used will be more

simplified and diversified.

REFERENCES

How to understand big data. Baidu encyclopedia. See

https://zhuanlan.zhihu.com/p/369700766.

Read the big data stack. Baidu encyclopedia. See

https://my.oschina.net/alicoder/blog/3217055.

Wang Jiaren. (2016) Innovation of modern Enterprise

HUMAN resource Management based on "Internet +"

and big data Era. Heilongjiang Science.

Wang Yuanyuan. (2017) Research on Human resource

Management of Internet Enterprises in the Era of Big

Data -- A case study of JCTS Company. Minzu

University of China.

Zong Shiqiang. (2012) Networked Data Sharing Based on

Virtual View. Command Information System and

Technology.

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