Application Analysis of Big Data in Innovation Management

in Enterprises

Jinhan Guo

1,*

, Yuan Ma

and Yuyuan Yang

1,*,#

School of Economic, Belarus State University, Minsk, Belarus

School of Management, Universiti Sains Malaysia, 11800 Gelugor, Penang, Malaysia

is the co-first author with the same contribution value

Keywords: Business Management, Innovation Management, Enterprise Development, Big Data.

Abstract: Under the background of big data, the rapid integration of domestic and foreign markets has provided new

opportunities for enterprises, but also brought some problems. Under such circumstances, enterprises are

facing the elimination of the market, and they need to improve their competitiveness, do a good job in the

structural adjustment and management innovation of the enterprise, improve the management ability of the

enterprise, solve the problems in the development of the enterprise, and realize the sustainable development

of the enterprise. Meet future challenges. According to the concept and relationship between big data and

innovation management, through the mode and strategy of innovation management, this paper analyzes the

development trend of innovation management in the era of big data, and solves the problem of innovation

management of enterprises.

1 INTRODUCTION

1.1 The Concept of Big Data

Big data, or huge amount of data, refers to the

amount of data involved that is too large to be

captured, managed, processed, and organized within

a reasonable period of time through mainstream

software tools to help companies make more positive

business decisions (Deng, 2020). The definition

given by the Mc Kinsey Global Institute is: a

large-scale data collection that greatly exceeds the

capabilities of traditional database software tools in

terms of acquisition, storage, management, and

analysis (Ding, 2020). Data type and low value

density are four characteristics.

1.2 The Concept of Innovation

Management

Innovation management refers to the innovation of

the enterprise structure and system, and the use of

new technologies, equipment, and methods to carry

out management functions such as decision-making,

planning, organization, incentives, and control, and

provide new ideas for enterprises (Huang, 2020).

Innovation management is a social organization that

adapts to external and internal development for the

purpose of scientific and technological progress.

Innovation management is based on

management concepts (Huang, 2015). The

management concept reflects the management mode

and way of thinking of the enterprise, and is the soul

of the enterprise (Gu, 2008). Managers must carry

out systematic thinking training, master and

improve management methods and theories. Only

managers with good innovative thinking can

innovate better, take innovative management as a

kind of fun, and generate new social and economic

benefits (Li, 2017).

Figure 1: Innovation of Enterprise Management System.

Guo, J., Ma, Y. and Yang, Y.

Application Analysis of Big Data in Innovation Management in Enterprises.

DOI: 10.5220/0012033100003620

In Proceedings of the 4th International Conference on Economic Management and Model Engineering (ICEMME 2022), pages 361-365

ISBN: 978-989-758-636-1

 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

361

1.3 The Relationship Between Big Data

and Enterprise Innovation

Management

The characteristics of big data are large amount,

diversity, high speed and value. For enterprises, in

order to strengthen market competitiveness, they

should find an effective way to mine customer data

and extract effective information (Li, 2020). Only by

continuously introducing data flow to make it

continuously adjust and optimize its own

management model can enterprises take a long-term

position in the market and always retain the market

position of the enterprise (Liu, 2015). In the context

of the era of big data, enterprises can usher in many

development opportunities, but they also need to

constantly overcome various new challenges.

2 DEVELOPMENT TREND OF

INNOVATION MANAGEMENT

2.1 Enterprise Value is Becoming More

and More Diversified

Corporate interests and corporate values are closely

related [9, 2018, Liu]. At present, some enterprises

have realized that only by pursuing diversified

enterprise value can they obtain more benefits (Liu,

2010). For an enterprise, its value diversification

includes many aspects, such as economic value,

social responsibility, etc., some are directly related to

the interests of the enterprise, and some are

indirectly related.

2.2 Organizational Structure Change

There are many theories related to business

management, but many enterprises in the

development have realized that if they cannot apply

theoretical knowledge to specific practical

production, just blindly "talking on paper" will

hinder the development of enterprises (Lei, 2009). In

some enterprises, their organizational structure is

unreasonable, which is not conducive to the practice

of business management theory (Lin, 2020).

Therefore, it is necessary to analyze the

organizational structure based on the actual situation

of the enterprise, and make timely changes to the

unreasonable parts (Liang, 2020). For example,

clarify the management level of the enterprise,

simplify the production and auditing process, and

establish a flat matrix-type organizational structure.

2.3 The Internationalization Trend of

Enterprises

For modern enterprises, internationalization is a

major trend. The global economy has made many

companies go abroad to do business with foreigners

(Ou, 2001). For Chinese companies, it is not only

necessary to compete with their domestic

counterparts, but also with their foreign counterparts.

Only by establishing a corporate brand

internationally can we stand out in the fierce

international competition (Rui, 1998).

2.4 Developing Knowledge

Management

For enterprises, knowledge management is very

important. It not only requires enterprise managers

to use the knowledge they have learned to manage

enterprises, but also requires enterprises to build

corporate culture based on their own actual

conditions, and promote enterprise development

through corporate culture (Tao, 2010). Corporate

culture has three main functions: first, it is

conducive to improving the sense of responsibility

of enterprise managers and employees; second, it

can improve the cohesion among enterprise

employees and cultivate team spirit; third, it is

conducive to showing a good corporate image to the

outside world (Wang, 2020).

3 THE MAIN MODE OF BIG

DATA INNOVATION

MANAGEMENT

3.1 The Trend of Management

Innovation with Supply Chain as

the Core

Extend and integrate with supply chain as the core.

Improve the system of each department, strive to get

rid of the scope of local interests between

departments, and improve the company's overall

business level (Wu, 2017). The operation and

management innovation mode is mainly divided

into: the full use of high-tech information

technology under the centralized and decentralized

management mode. By reducing supply chain

supply, the supply chain operation is simpler and

more efficient, thereby reducing the number of

suppliers and making the operation relatively

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flexible (Yang, 2020). Innovate the business

management model from the perspective of users,

and pay attention to summarizing and analyzing the

opinions and suggestions of customers.

Figure 2: Enterprise Management System

3.2 Management Innovation Trends

Centered on Business Process

Management

Business process management pays attention to

"sequence obedience" and centrally manages

enterprise business. Starting from the nature of the

daily work content of the enterprise, the business

time nodes are clearly arranged, and the business

operators and managers have a good grasp of the

time nodes and approve them one by one in

chronological order, thereby diluting the division of

labor in each part (Yang, 2018). The appraisal

performance is calculated based on the completion

of the process. The business process is approved by

multiple links, which not only plays the role of

supervision, but also reduces the business pressure

of middle-level leaders to a certain extent. In

addition, employees in the process need to cooperate

with each other and follow the "sequence

obedience" rule in the process. The process needs to

be approved by the leaders level by level, which

requires the business process approvers to be

familiar enough with the business content, so that

the process approval and connection will be

smoother.

3.3 Trends of Strategic Management

Innovation Centered on Business

Operations

Business operations require enterprises to have a

high level of enterprise management. In addition,

business operators should focus on the present, look

to the future, and take a long-term perspective.

Prepare in advance for building a corporate

management strategy framework. Organically

integrate funds, talents, technology, etc., and

creatively carry out business layout and strategic

planning (Yu, 2018). Strive to become the creator of

new standards in the industry, and enhance its

international influence and competitiveness.

4 INNOVATION MANAGEMENT

STRATEGY UNDER BIG DATA

4.1 Transform Decision-Making Bodies

and Strengthen Corporate

Cohesion

In the traditional management model of enterprises,

managers and senior personnel are the main

decision-making bodies, and front-line employees

do not participate in decision-making. In the era of

big data, the main role of front-line employees in

decision-making has become increasingly prominent

(Yuan, 2019). In today's Internet age, the speed of

information dissemination has also accelerated, and

enterprises should pay more attention to the opinions

of the public when making decisions. Of course, the

grassroots employees are more familiar with the

situation on the front line, and the decision-making

is more directional. This decision-making model is

very beneficial to the improvement of employees'

enthusiasm, and can also better strengthen the

Application Analysis of Big Data in Innovation Management in Enterprises

363

cohesion of the enterprise, so that all employees can

work together for the development of the enterprise.

4.2 Change the Way of

Decision-Making and Improve the

Accuracy of Decision-Making

In the era of big data, the decision-making bodies of

enterprises have become different, and all data have

become the decision-making bodies, replacing

sample data, and integrating and analyzing all data is

conducive to better looking for related objects.

Future control is very beneficial, and it can also

make decision-making better (Zhai, 2010).

Enterprise managers have clarified the importance

of big data, changed the traditional subjectivity, and

used data as the main basis for decision-making.

This method can make decision-making more

accurate and more beneficial to the future

development of the enterprise.

4.3 Do a Good Job in Data Forecasting

and Grasp Major Development

Opportunities

Under normal circumstances, to understand the

actual situation of the market, companies will adopt

the method of market research, but this method has

significant lag problems. Big data itself is mainly

based on prediction. It can fully understand market

trends, conduct integrated analysis on consumer

behavior, deeply understand consumer preferences,

and provide them with corresponding products

based on specific preferences (Zhang, 2015).

Combining the needs of consumers to innovate and

optimize products, the competitiveness of products

can be effectively improved, and enterprises can also

strengthen their core competitiveness. In addition,

you should pay more attention to the marketing

activities and prices of competitors, understand the

trend of the entire market, and then formulate more

accurate marketing strategies to seize more market

shares.

4.4 Reducing Operating Costs with the

Help of Big Data

Many companies use big data to reduce costs and

improve operational efficiency. Enterprises should

explore and analyze the obtained data to better

understand the problems of enterprise management,

so that managers have a clear understanding of the

status of each department, which is conducive to the

scientific allocation of resources and the

improvement of utilization. In addition, the

scientific nature of enterprise decision-making

management has been improved, and operating costs

have been effectively reduced, which is very

beneficial to the development of the enterprise.

4.5 Innovation of Information Access

Ways

In the era of big data, enterprises can also have more

contact with data enterprise platforms, and can make

full use of these data platforms to collect public

opinions and better understand the public's

tendencies, thereby extracting the implied

commercial value. Enterprises can also actively

cooperate with third-party data collection agencies,

make full use of their data collection channels, and

better obtain the data information they actually need.

Both parties can achieve a win-win situation with

mutual cooperation.

4.6 Investment in Innovation

Management Talents

It is very important to improve the comprehensive

ability and collection ability of data analysts, so as

to ensure more benefits for the enterprise.

Enterprises provide a good working environment

and attract professionals through incentive systems.

Enterprises should also increase the scale of data

systems according to their own data volume, and

update and analyze data information at any time to

ensure the accuracy and timeliness of information

acquisition. Due to the fierce market competition

and prone to malicious competition, enterprise data

information requires strict security measures, and

professional management is required to ensure the

security of enterprise data.

5 LINKS BETWEEN OTHER

STUDIES AND THIS STUDY

Density measures the closeness of each node in the

network, which is the gap between the actual

distribution graph and the complete graph. Generally

speaking, high-density networks have high

information communication efficiency and better

work performance; while low-density networks

often have problems such as poor information and

low work efficiency. Since the co-authorship

network is a non-directional network, its density

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formula is as follows:

Important papers on innovation management in

my country are mainly published in five journals:

Science and Science and Technology Management,

Scientific Research, Chinese Soft Science, and

Research and Development Management. Using

"innovation" and "big data" as titles or keywords,

searching for papers published between 2001 and

2021 shows the following distribution.

6 CONCLUSION

The era of big data has brought opportunities and

challenges to the traditional enterprise management

model, and data will become the basis for the

development of all walks of life. Faced with such

social status quo, enterprises should make full use of

the advantages of big data to continuously enhance

their management capabilities. Enterprise managers

should use modern information technology

scientifically, realize the transition of enterprises

from "traditional" to "technological", realize

innovation in enterprise management, promote

scientific development of enterprises in the context

of the era of big data, and enable enterprises to

obtain better results in the fierce competition. Many

advantages to ensure the core competitiveness of

enterprises.

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