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
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
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
ojojoj
ojmmojm
ojoj
ojoj
oj
baxN
baxN
baxN
vxN
vxN
vxN
R
,
,
,
2222
1111
222
111
In this formula, N
oj
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
m
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:
=
=
pm
m
pmojm
ppoj
ppoj
mmpm
p
p
p
baxN
baxN
baxN
vxN
vxN
vxN
R
,
,
,
2
2
22
1
1
11
222
111
Where, N
p
represents all levels of characteristics
of the activity of independent innovation and
entrepreneurship driven by big data; V
pm
=<a
pm
,b
pm
>
represents the specific value range of the
characteristic factor x
m
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
p
p
vxN
vxN
vxN
R
222
111
N represents the characteristics of the activity of
independent innovation and entrepreneurship to be
extracted; v
m
represents the m-th feature x
m
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
kj
×= )(
Where K
j
v
k
represents the specific correlation
degree at the j level of the k-th feature extraction
factor x
k
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
1
kiokj
nj
vKnmvK =×
In the formula,
K
io
v
k
represents the extraction
factor of the k feature of the activity of independent
innovation and entrepreneurship in the background of
big data, and
x
k
is grade
io
. The
K
io
v
k
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
ij
is
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
j
×=
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
j
×= )
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
y
y
p
m
i
ij
ij
ij
,,2,1;,,2,1,
1
==
=
The formula used in the calculation of the j-th
active value of independent innovation and
entrepreneurship is:
njpipke
j
m
i
ijj
=
=
1,ln
1
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
jj
= 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,
1
=
=
n
j
j
j
j
g
g
w
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
n
k
ln
1
=
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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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