Construction of Activity Evaluation Model of Independent Innovation

and Entrepreneurship Driven by Big Data

Yun Liu

Dalian Jiaotong University, Dalian City, Liaoning Province, 116028, China

Keywords: Big Data Technology, Independent Innovation and Entrepreneurship, Activity Assessment, Model Analysis.

Abstract: Under the background of big data, China's economic development has been greatly affected. Especially in the

process of independent innovation and entrepreneurship, big data driven has changed the current situation of

independent innovation and entrepreneurship in China to a certain extent. In practical research, we need to

build an activity evaluation model of independent innovation and entrepreneurship according to the specific

impact of big data driving on enterprises' independent innovation and entrepreneurship. We conduct in-depth

research on the specific performance of the activity of independent innovation and entrepreneurship. At the

same time, we need to put forward the practice strategy of independent innovation and entrepreneurship driven

by big data to promote the high-level development of independent innovation and entrepreneurship in China.

1 INTRODUCTION

Under the background of the continuous development

of China's social economy, we must pay attention to

the positive role of independent innovation and

entrepreneurship in improving the level of social and

economic development. Independent innovation and

entrepreneurship is the main mode of economic

activity that occupies an important position in the

current social and economic development. Driven by

big data, independent innovation and

entrepreneurship has become China's basic national

policy. It plays a vital strategic role in the process of

national economic development. In the process of the

continuous development of independent innovation

and entrepreneurship in China, the scientific

evaluation of the activity of independent innovation

and entrepreneurship can grasp the development

status of independent innovation and

entrepreneurship in China. In the actual evaluation,

the activity level of independent innovation and

entrepreneurship is mainly discussed from the

perspective of effectiveness and vitality. At present,

when evaluating the activity of independent

innovation and entrepreneurship, in order to

comprehensively analyze the evaluation of the

activity of independent innovation and

entrepreneurship, it is necessary to build an

evaluation model of the activity of independent

innovation and entrepreneurship based on big data

drive, which is helpful to improve the evaluation

effect of the activity.

2 THE IMPACT OF BIG DATA

DRIVE ON INDEPENDENT

INNOVATION AND

ENTREPRENEURSHIP

2.1 Change the Way You Think about

Innovation and Entrepreneurship

In the process of continuous development of big data

technology, in order to give full play to the business

advantages of enterprises, it is necessary to

strengthen independent innovation and

entrepreneurship. For different information to build a

complete database collection, comprehensive

analysis of data and information at the same time, the

intrinsic relationship between different data mining,

to ensure that enterprises grasp the personalized

needs of the market in the entrepreneurial process,

using a large number of structured and unstructured

data to promote the long-term development of the

enterprise, the enterprise products market. Big data

technology provides more opportunities for

enterprises to create independent innovation and

550

Liu, Y.

Construction of Activity Evaluation Model of Independent Innovation and Entrepreneurship Driven by Big Data.

DOI: 10.5220/0011190800003440

In Proceedings of the International Conference on Big Data Economy and Digital Management (BDEDM 2022), pages 550-555

ISBN: 978-989-758-593-7

entrepreneurship. In particular, the application of big

data technology can create employment

opportunities, such as big data hardware

manufacturing, software development and other

talent demand is increasing. In addition, in the

process of data collection and analysis and data

mining, there is a need for professional personnel to

operate. There are more and more industries related

to big data, and the job market of big data is more and

more broad, which greatly increases the employment

opportunities. In addition, the sharing and

universality of big data assets do not require

independent innovation and entrepreneurship

personnel to be professional engineers or data

analysts. They only need to use the data platform for

operation to obtain relevant data, so as to determine

the direction of innovation and entrepreneurship.

2.2 Changing the Model of Innovation

and Entrepreneurship

Driven by big data, it can promote the transformation

of China's independent innovation professional

model. At present, under the influence of big data

technology, the main changes of China's independent

innovation and entrepreneurship model are shown in

the following aspects: First, an accurate grasp of big

data technology can explore a new innovation and

entrepreneurship model. Especially for some small

enterprises, in order to achieve long-term and stable

development, it is necessary to determine the

direction of innovation and entrepreneurship, and

formulate the development strategy of scientific

research in the development process. In the

formulation of strategy, according to the specific

conditions of the enterprise, the market environment,

legal environment, industrial development trend,

competitive advantages and other information, to

ensure the scientific and rational formulation of

strategy. At the same time, the data integration

management mechanism should be built according to

the enterprise's own conditions, and the data

application platform suitable for the development of

the enterprise should be established. Only in this way

can big data technology be used to fully mine various

information resources in the process of enterprise

innovation and entrepreneurship and improve the

level of independent innovation and entrepreneurship

of enterprises. Second, the openness and sharing

characteristics of big data can promote the innovative

development of innovation and entrepreneurship

model. The integration and openness of big data

technology can promote the coordinated development

of enterprises and large enterprises, and make

enterprises become joint members in the chain.

Although the strength of small enterprises is limited

to some extent, they can find out the survival and

development direction of enterprises through data

sharing. Dynamic selection according to the

development advantages of the core business in the

whole market can give full play to their own

advantages, and also help to strengthen the core

business of small and medium-sized enterprises and

establish their comprehensive competitive position.

Third, big data technology can promote the

innovation and development of marketing model, and

play an important role in promoting the sustainable

and personalized development of enterprises. In the

application process of big data technology, it can

provide better technical support for product sales. It

is mainly to master the specific needs of different

consumer groups and design targeted and precise

promotional activities. Using fragmented market

information to extract key content can pinpoint the

internal needs of consumers and ensure that the

development of enterprises meets the needs of

consumers (Gu, 2019, Zhu, 2019, Zhao, 2019, et al.).

2.3 Promote Scientific and

Technological Innovation and

Development

In the process of independent innovation and

entrepreneurship, improving the knowledge of

enterprise innovation ability is the key measure to

enhance the comprehensive competitiveness of

enterprises. Besides innovating business models, the

development and application of big data technology

can promote technological innovation of enterprises

to a great extent. Big data itself is a technology type

that integrates all aspects of data processing, storage,

reading, aggregation and modeling. It is highly

innovative and widely applied in the process of

scientific and technological innovation and

development. The effective application of big data

technology in the process of independent innovation

and entrepreneurship of enterprises can promote the

scientific and technological innovation of enterprises

and promote the integrated development of product

research and development, process improvement and

production commercialization. At present, big data

has become the main driving force of scientific and

technological innovation. Using big data to fully

mine the application value of data information can

optimize and improve various behaviors such as

management process, evaluation and decision-

making in the development process of enterprises,

which plays an important role in promoting the

Construction of Activity Evaluation Model of Independent Innovation and Entrepreneurship Driven by Big Data

551

scientific and technological innovation ability of

enterprises. At the same time, it can escort the

implementation of enterprises in the process of

scientific and technological innovation. In addition,

the processing, marking and aggregation of

unstructured data are helpful for enterprises to have a

deeper understanding and grasp of the specific

research status and patent coverage in some fields. In

addition, targeted research and development work

can be used to quickly find the specific development

direction of enterprises, which can reduce the time

and energy of enterprises in the process of research

and innovation, and it has important practical

significance to improve the efficiency of scientific

and technological innovation. In addition, in the

process of Internet connection, big data technology

can promote the expansion of the coverage of the

Internet, and the use of cloud technology can enhance

the intelligent level of the system, and realize

intelligent production and service work.

Technological innovation with artificial intelligence

as the core is of vital help to promote enterprises'

independent innovation and entrepreneurship as well

as economic transformation and upgrading.

3 CONSTRUCTION OF THE

EVALUATION MODEL FOR

THE ACTIVITY OF

INDEPENDENT INNOVATION

AND ENTREPRENEURSHIP

3.1 Extract the Characteristics of the

Activity of Independent Innovation

and Entrepreneurship

When building the evaluation model of the activity of

independent innovation and entrepreneurship based

on big data, it is necessary to establish the matter

element model according to the characteristics of the

activity of independent innovation and

entrepreneurship, and then make a scientific

evaluation of the activity factor index of independent

innovation and entrepreneurship. The effective

calculation is used to obtain the hierarchical

correlation matrix of independent innovation

entrepreneurship activity, and the characteristic

information related to independent innovation

entrepreneurship activity is extracted.

In the context of big data driven, it is assumed that

the characteristic components of the activity of

independent innovation and entrepreneurship mainly

include M, and M is divided into (x1, x2..., xn).

Among them, the activity is divided into n grades.

With big data driven as the research background, this

paper discusses the constitutive characteristic factors

and the matter-element model of the corresponding

value of the activity of independent innovation and

entrepreneurship. The specific formula is:

























ojmojmmojm

ojojoj

ojmmojm

ojoj

baxN

vxN

2222

1111

222

111



In this formula, N

represents the j-rank of the

activity of independent innovation and

entrepreneurship driven by big data; Represents the

m-th characteristic factor of the activity and x

is the

value range of the j-th order. According to this

formula, the characteristic factors of entrepreneurial

activity of independent innovation can be calculated

in a reasonable range, so as to obtain the matter-

element model. The specific expression formula is:

























pmojm

ppoj

mmpm

baxN

vxN

222

111



Where, N

represents all levels of characteristics

of the activity of independent innovation and

entrepreneurship driven by big data; V

=<a

represents the specific value range of the

characteristic factor x

of the activity of independent

innovation and entrepreneurship. After completing

the feature extraction of independent innovation and

entrepreneurship activity, the extracted values should

be used in the characteristic value calculation formula

to construct the matter-element matrix. The specific

formula is as follows:













mmpm

vxN



222

111

N represents the characteristics of the activity of

independent innovation and entrepreneurship to be

extracted; v

represents the m-th feature x

in the

unextracted characteristics of independent innovation

entrepreneurship activity. This formula can be used

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

552

to accurately calculate the relationship between

different characteristics of entrepreneurial activity

such as independent innovation and different levels

of activity. The specific calculation formula is:

[

]

nmvKK

×= )(

Where K

（v

） represents the specific correlation

degree at the j level of the k-th feature extraction

factor x

in the unextracted independent innovation

entrepreneurship activity. According to the

calculation formula of correlation degree matrix, the

next calculation can be carried out. Formula is:

)()(max

kiokj

vKnmvK =×

≤≤

In the formula,

（v

）

represents the extraction

factor of the k feature of the activity of independent

innovation and entrepreneurship in the background of

big data, and

is grade

. The

（v

）

value can

be obtained through calculation, which can

effectively extract the specific characteristic

information of the activity of independent innovation

and entrepreneurship. Then, the risk index in the

process of independent innovation and

entrepreneurship can be reduced by calculating the

weight of the evaluation index of the activity of

independent innovation and entrepreneurship (zhu

2018, Wang 2018).

3.2 Determine the Index Weight of the

Activity of Independent Innovation

and Entrepreneurship

After the feature extraction of independent

innovation entrepreneurship activity is completed,

the weight of activity evaluation index should be

calculated scientifically according to the specific

requirements of independent innovation

entrepreneurship activity. In the actual calculation,

the weight value is mainly used to express the

importance of different indicators. The rationality of

the weight coefficient of the evaluation index of the

activity degree of independent innovation and

entrepreneurship will have a direct impact on the

reliability of the evaluation result of the activity

degree. The following two methods are used to

calculate the weight of the activity index of

independent innovation and entrepreneurship :(1)

subjective weighting method. This method is

relatively influenced by the work experience of the

personnel who set the weight. There are certain

differences in the experience, knowledge level and

comprehensive quality of different staff members,

which will lead to great differences in the setting of

the weight coefficient. Thus affecting the gap

between the assessment results and the actual results.

(2) Objective weighting method. This method mainly

uses specific data to measure and calculate the weight

coefficient. It can ensure the rationality and

objectivity of the evaluation index weight coefficient

to the maximum extent, and is relatively less affected

by the subjective factors in the calculation process,

which can further ensure the consistency between the

evaluation results and the actual results. In order to

ensure the objectivity and rationality of setting the

weight coefficient of the evaluation index of the

activity of independent innovation and

entrepreneurship, the objective weighting method is

mainly used to accurately calculate the weight of the

evaluation index of the activity of independent

innovation and entrepreneurship in the research

process (Bai 2020).

In the specific calculation, the entropy weight

method in the objective weight method can be used to

calculate, which can prevent the weight of the activity

evaluation index from being affected by the

subjective factors of the setters, improve the

objectivity and accuracy of the weight coefficient

setting, and ensure that the final evaluation results are

consistent with the actual results. When the entropy

weight method is used to calculate the weight of the

evaluation index of the activity of independent

innovation and entrepreneurship, it mainly includes

the following steps :(1) to build the initial matrix of

the evaluation of the activity of independent

innovation and entrepreneurship. In the actual

construction, it is assumed that there are m objects

and n indicators for evaluating the activity of

independent innovation and entrepreneurship. x

used to represent the specific index value of the i-th

independent innovation entrepreneurship activity

evaluation object under index J. The initial evaluation

matrix of independent innovation and

entrepreneurship activity was obtained. The specific

formula is:

nmwiW

×= ）（

To complete the initial matrix standardization

processing by using the linear proportional

transformation method, the standardized matrix of

independent innovation entrepreneurship activity

evaluation can be further obtained. The formula is:

nmyiY

×= )（

To normalize the formula, the following formula

can be obtained:

Construction of Activity Evaluation Model of Independent Innovation and Entrepreneurship Driven by Big Data

553

njmi

,,2,1;,,2,1,

 ==



The formula used in the calculation of the j-th

active value of independent innovation and

entrepreneurship is:

njpipke

ijj

≤≤−=



1,ln

In formula , the value of k is

generally greater than 0, while the entropy value of

the j-th independent innovation entrepreneurship

activity evaluation index is greater than 0. When

calculating the difference coefficient of the j-th

independent innovation entrepreneurship activity

evaluation index, the adopted formula is

njeg

≤≤−= 1,1

Finally, it is necessary to complete the evaluation

index weight of independent innovation and

entrepreneurship activity. The j-th weight calculation

formula is:

nj1,

≤≤=



After the establishment of the initial matrix of

independent innovation and entrepreneurship activity

evaluation by using the entropy weight method, the

weight of the index should be calculated accurately

according to the specific difference coefficient of the

independent innovation and entrepreneurship activity

evaluation index. Then, the activity evaluation model

should be constructed to accurately evaluate the

activity of independent innovation and

entrepreneurship.

3.3 Build an Evaluation Model for the

Activity of Independent Innovation

and Entrepreneurship

Under the influence of big data technology, with

independent innovation of entrepreneurial activity

evaluation index weight calculation results as the

foundation, after completing weighted standard

matrix to calculate the work, according to the

independent innovation entrepreneurship activity

evaluation model of goal to construct the ideal model

is established, and the need to accurately for the

evaluation model of grey correlation coefficient is

calculated. After completing the construction of grey

correlation coefficient matrix, the distance matrix

between the positive ideal solution and the negative

ideal solution of the independent innovation

entrepreneurship activity evaluation model should be

calculated and constructed on this basis. Finally, the

relative closeness ranking of independent innovation

entrepreneurship activity evaluation model is

completed. In this way, we can evaluate the activity

of independent innovation and entrepreneurship. It

should be noted that in the process of ranking

different evaluation models of independent

innovation and entrepreneurship activity, the ranking

should be based on the principle of closeness from

large to small. Only in this way can an effective

evaluation model be used to accurately evaluate the

specific indicators of the activity of independent

innovation and entrepreneurship in the context of big

data.

3.4 Experimental Analysis

In the process of evaluating the activity of

independent innovation and entrepreneurship, it is

necessary to determine the evaluation indexes. When

selecting the evaluation indexes, the data evaluation

model mainly carries out the evaluation of the activity

of independent innovation and entrepreneurship from

different aspects such as the activity, opportunity

ability, leadership ability and the ability to bear the

risks of innovation and entrepreneurship. The specific

evaluation indicators are shown in Table 1.

Table 1 Evaluation index of the activity of independent

innovation and entrepreneurship in the context of big data

Level

indicators

The secondary indicators

Innovation and

entrepreneurship

activity

The innovation ability

Innovation and

entrepreneurship

opportunities

Technical ability, knowledge

reserve, cooperation ability

Leadership in

innovation and

entrepreneurship

Decision-making

Innovation and

entrepreneurship

risk tolerance

Charisma, courage, and the

ability to face failure

In the process of carrying out the experimental

analysis, the following two aspects are mainly

started: First, the experimental results of the activity

index of independent innovation and

−=

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554

entrepreneurship under low risk. In the context of low

risk, when the evaluation index of the activity of

independent innovation and entrepreneurship is

selected, the big data-driven evaluation model

construction method is mainly used to carry out

scientific evaluation of the activity index. Can be

determined under the background of low risk, under

the background of big data driven model building

methods, in addition to being able to improve the

independent innovation of entrepreneurial activity

evaluation index weight calculation efficiency, also

has certain advantage in building assessment model,

index have a positive significance to improve the

active degree, at the same time can guarantee the

stability of the numerical value. Second, the

experimental analysis of the evaluation index of the

activity of independent innovation and

entrepreneurship under high risk. After the evaluation

index of the activity of independent innovation and

entrepreneurship is selected under high risk, the

evaluation model construction method under the

background of big data is used to carry out the

experimental work. By effectively evaluating the

activity index of independent innovation and

entrepreneurship, it is found that the evaluation

model construction method under the background of

big data can simplify the extraction steps of the

activity feature and play a certain role in improving

the reliability of the activity evaluation results

(Zhang, 2020, Hao, 2020).

4 CONCLUSION

In a word, in the process of evaluating the activity of

independent innovation and entrepreneurship in the

context of big data, it is necessary to carry out

research from the specific impact of big data

technology on the economic activities of independent

innovation and entrepreneurship in China. We should

fully grasp the practical impact of big data technology

development on independent innovation and

entrepreneurship. At the same time, the activity

evaluation model should be constructed according to

the specific needs of the activity evaluation of

independent innovation and entrepreneurship. In the

process of model construction, the characteristic

information of the activity of independent innovation

and entrepreneurship should be extracted, and the

weight of indicators such as the activity of

independent innovation and entrepreneurship should

be scientifically determined according to the

evaluation requirements of the activity. It is necessary

to ensure the effectiveness of the independent

innovation entrepreneurship activity evaluation

model. After completing the activity evaluation, it is

also necessary to make use of effective experimental

analysis to comprehensively master the application

effect of the activity evaluation model of independent

innovation and entrepreneurship in the context of big

data (Song 2020). Under the influence of big data

technology, it is necessary to enhance the data

awareness of enterprise leaders and strengthen the

importance of leaders to big data technology and

cloud computing technology. In addition, Chinese

universities should strengthen the construction and

optimization of big data professional talent training

system, and consolidate the foundation of Big data

talent training in China. Only in this way can big data

technology be fully used to promote the stable

development of independent innovation and

entrepreneurship activities of Chinese enterprises,

improve the level of independent innovation and

entrepreneurship of Chinese enterprises, and lay a

solid foundation for promoting the transformation

and upgrading of Chinese economy.

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