Research on Influencing Factors of Chinese Medicine Health Tourism
Choice Intention of Tourists Based on ETPB Theory
Biao Zhang
1
,
Chunyan Xu
1
, and Jiancheng Liu
2,
*
1
School of Economics and Management, Jiangxi University of Chinese Medicine, Nanchang, China
2
College of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, China
Keywords: TPB Theory, Chinese Medicine Health Tourism, Visitors Will.
Abstract: This paper analyzes the influencing factors and the relationship between tourists' behavior choice of Chinese
medicine recreation tourism. Based on the authoritative theory in the field of behavior research --- Planned
Behavior Theory, this paper builds a behavioral choice model of Chinese medicine recreation tourism by
adding individual attributes and scenic spot attributes. The structural equation model test of 551 valid sample
data shows that professional background, convenience, natural resources and accommodation ticket cost have
the most obvious influence on tourists' behavior choice. The influence of personal pressure is greater than that
of social pressure. Meanwhile, family income, self-interested attitude and educational background also have
certain influence on tourists' behavior choice.
1 INTRODUCTION
With the rapid development of economy, tourism is
shifting from popular tourism to personalized and
healthy tourism. In this context, as a kind of tourism
activity with the purpose of health preservation and
meeting the high demand of modern people in pursuit
of a healthy body and mind, health tourism emerged
at the historic moment. Due to the professional
knowledge of tourism and medical health, people's
choice of health tourism is often inconsistent with
traditional views. The traditional view is that as long
as the destination has a good reputation, good scenery
and a large number of tourists, the tourists will come,
but the actual situation is not the case for health
tourism. In order to understand the reasons, based on
the existing behavioral choice questionnaire, the
author found out the factors influencing tourists'
choice of Chinese medicine health tourism by
modifying the questionnaire, and put forward
targeted solutions.
*
Jiancheng Liu 20220285 Terahertz wave data detection of
ordered structure field generator
2 OVERVIEW OF CHINESE
MEDICINE HEALTH TOURISM
2.1 Connotation
Before the term "health tourism" was put forward in
China, there were similar concepts in foreign
countries, such as "health tourism", "health tourism"
and "medical tourism". Foreign scholars believe that
health tourism mainly includes two types of health
tourism and medical tourism (MARION, 2011),
which is a kind of tourism mode for disease
prevention and treatment. In China, "health tourism"
refers to the sum of all kinds of tourism activities that
make people achieve a natural and harmonious state
in body, mind and spirit through various ways, such
as nourishing skin and body, nourishing diet, self-
cultivation and caring for the environment. As Ren
Xuanyu pointed out, recreation tourism is a tourism
mode to relax body and mind, pursue happiness and
improve tourists' happiness (
Ren, 2016). Li Peng
believes that health tourism is a kind of tourism mode
that meets the needs of one's body, spirit, health and
relaxation, and finally achieves a benign interaction
with society and environment (
Li, 2020). The author
Zhang, B., Xu, C. and Liu, J.
Research on Influencing Factors of Chinese Medicine Health Tourism Choice Intention of Tourists Based on ETPB Theory.
DOI: 10.5220/0012042200003620
In Proceedings of the 4th International Conference on Economic Management and Model Engineering (ICEMME 2022), pages 699-706
ISBN: 978-989-758-636-1
Copyright
c
2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
699
believes that Chinese medicine health tourism is a
kind of tourism in which tourists enjoy natural
climate resources and use Chinese medicine therapy,
Chinese medicine recipes and other Chinese
medicine health preservation methods in combination
with time and their own conditions to achieve
physical and mental cultivation and promote health.
2.2 Development History
There is no special discussion on health tourism in
Chinese medicine. From the concept of fuzziness, it
belongs to the categories of "outing", "climbing" and
"traveling". It has been recorded in the literature
thousands of years ago. Nssi is not timely, an excuse
for xianglanyun. Think out of the tour orchid, can
cultivate one's morality for pleasure; According to the
medical monograph Huangdi Neijing, "Spring brings
forth weather... Spring outing and slow steps...
Cultivate Yang Dao." Spring outing can raise Yang.
Until today, the level of people's demand for health
has been increasing, and the state has formulated and
introduced relevant policies, which has led to the
development of health tourism. The CPC Central
Committee and The State Council issued the outline
of "Healthy China 2030" on October 25, 2016,
integrating into all aspects of the construction of a
healthy China, which will bring huge space for the
development of health tourism. Despite the fact that
the value of Chinese medicine health tourism has
been recognized by more and more tourists, the
number of tourists who truly practice Chinese
medicine health tourism is still small and their
willingness to travel is not high. The author believes
that the reason lies in the lack of awareness of health
tourism. Specifically, it is closely related to natural
resources, human resources, infrastructure and basic
costs. In order to verify the above conjecture, this
paper introduces scenic area attribute variables such
as natural resources, human resources, infrastructure
and basic costs on the basis of TPB theory, thus
forming the theory of expansion planning behavior,
and carrying out in-depth discussion on related
issues.
3 THEORETICAL BASIS AND
RESEARCH HYPOTHESIS
3.1 Theory
After the emergence of rational planning behavior
(TRA), researchers found that individual choice is not
a completely voluntary behavior, and individual
ability and conditions also affect behavioral choice,
namely individual behavioral control (Gao, 2020).
Therefore, the Theory of Planned Behavior (TPB)
appears in the field of view of researchers. TPB
theory mainly includes attitude, subjective norms and
perceived behavior control, which can effectively
affect individual behavior. As an influential basic
theory in the study of individual behavior, TPB theory
is widely used to explain the generation of various
behaviors (Qiu, 2016). At present, in the aspect of
behavior research, many scholars have confirmed the
prediction of individual will and behavior by this
theory. However, when reviewing the literature, it is
found that the application of this theory is rarely seen
in the study of tourism intention, let alone in the
aspect of health tourism.
As a theory in the field of behavioral research, this
theory provides a new perspective for in-depth
research on the influencing factors of Chinese
medicine health tourism intention. However, it is
worth noting that are three aspects of TPB theory:
attitude, subjective norm and perceptual behavioral
control. If we only discuss from these three aspects,
it will be more subjective and less objective.
However, the intention of health tourism involves the
relationship between objective influence variables,
subjective psychological variables and actual
behavior. Therefore, in order to accurately and
objectively express the relationship between the
influencing factors and the choice of Chinese
medicine recreation tourism, the theory of Extended
planning Behavior (ETPB) was formed by adding the
objective influencing variables of scenic spot
attributes, and the research hypothesis was made on
this basis.
3.2 Research Hypothesis
3.2.1 Attitude and Behavior
In TPB theory, attitude refers to the subject's positive
or negative views on a specific behavior, which
reflects the subject's preference for the
implementation of the behavior (Zhang, 2014) and
has an important influence on the generation of
behavioral intention. Individuals' attitude towards
health tourism is beneficial to themselves. When
individuals choose health tourism, they will have a
positive attitude and form their willingness to choose
health tourism, which will then be transformed into
practical behaviors. The author believes that tourists
mainly have self-interested attitude towards health
tourism, that is, the acquisition of self-benefit.
ICEMME 2022 - The International Conference on Economic Management and Model Engineering
700
Therefore, the following hypotheses are proposed in
this paper:
H1: Self-interested attitude has significant
influence on behavioral choice of tourist destination
3.2.2 Subjective Norms and Behavior
Subjective norms include social pressure and
personal pressure. This paper mainly focuses on
social pressure. Social pressure refers to the pressure
or influence of important individuals or organizations
around them on their behaviors. For the willingness
to travel for health care, it refers to the degree of
support, opposition or recommendation from family
members, relatives, friends and other people in their
life circle for their willingness to travel for health care
(Huang, 2011). Personal stress is self-imposed
pressure or influence that leads to a false
understanding of one's own behavior. In terms of the
willingness of health tourism, most of the groups that
conduct health tourism are intellectuals, public
institutions and successful people. These tourists tend
to form the psychological comparison between
advanced and decent when they choose Chinese
medicine health tourism, forming personal pressure.
H2A: Social pressure has a significant impact on
the willingness of to travel for health and
recuperation.
H2B: Personal pressure has a significant impact
on the willingness to travel for Chinese medicine
3.2.3 Control and Behavioral
Perceptual control refers to the difficulty of
performing a particular behavior perceived by the
subject through the experience and opportunities he
has mastered and the obstacles in the implementation
of the expected behavior before performing it (Li,
2018). The more resources and opportunities you
think you have and the fewer obstacles you expect,
such resources include knowledge, information, etc.
The main influencing factor of behavioral intention is
whether an individual can control sufficient
resources, and the convenience degree of perceived
behavioral control can well reflect the will of tourists.
The degree of convenience refers to the behavior
subject's perception of the convenience of external
factors. In the aspect of Chinese medicine health
tourism, the degree of convenience mainly refers to
the information of transportation costs, routes and
trips.
H3: The degree of convenience has a significant
impact on the intention of health tourism
3.2.4 Attractions and Behavior
Under the scenic area attribute, natural resources are
the first aspect. Natural resources are also called
natural resources. In this study, they mainly refer to
the natural resources that are beneficial to tourists in
their original state, such as forests, lakes, hot springs,
land, climate and biology. Tourists have different
cognition of the importance of natural resources, so
they will perform different behaviors and have
different intentions for certain behaviors and
activities. Based on common sense, the more types of
natural resources, the more unique scenery and the
stronger selectivity, that is, the importance of
resources is positively correlated with the
willingness. For example, the more abundant natural
resources, the stronger the willingness. In other
words, the more important the resources are, the more
willing the tourists are, and the more opportunities
they have to take action (Zhu, 2020). However, health
tourism involves a wide range of areas and belongs to
a new tourism model. The more tourists pay attention
to natural resources, the more willing they are to
choose.
H4: Natural resources have a significant impact
on the intention of health tourism
Under the attribute of scenic spot, cultural
resources are its second aspect. Human resources are
the sum total of material and spirit created by human
society. This paper mainly refers to the existence of
cultural landscapes, such as modern hotels, shopping
malls, transportation and historical sites. Tourists'
cognition of the importance of cultural resources is
different, and they will perform different behaviors
for certain behaviors and activities, and their
willingness will be different. Based on common
sense, scenic spots are rich in architecture, profound
in culture and perfect in service, and the more
selective they are. That is, resource importance has a
positive relationship with willingness. For example,
it is pointed out in the analysis and research of
Ukrainian tourism resources that the richer historical
and cultural resources are, the more willing tourists
are. In other words, the more important cultural
resources are, the more willing tourists are and the
more chances they have to take action. However,
there is an influence relationship between natural
resources and human resources on tourists'
willingness. The author believes that cultural
resources will have an impact on tourists' behavior,
but the impact is weaker than that of natural
resources.
H5: Human resources have a significant impact
on the intention of health tourism
Research on Influencing Factors of Chinese Medicine Health Tourism Choice Intention of Tourists Based on ETPB Theory
701
Under the property of scenic spot, basic cost is its
fourth aspect. Tourists have different cognition of the
importance of accommodation, food and ticket fees,
and will carry out different behaviors and will also be
different for certain behaviors and activities. In
reality, the lower the ticket cost, the stronger the
tourists' willingness to pay. For example, it is pointed
out that the tourist's willingness to pay is stronger in
the ticket promotion activities of scenic spots (Kong,
2010). That is, the more important the cost of
accommodation, food and entrance fee is, the more
willing the tourists are to go. The author believes that
accommodation, food, ticket costs reasonable, honest
management, tourists will be stronger.
H6: The basic cost has a significant impact on the
intention of health tourism
Under the attribute of scenic spot, infrastructure is
its fifth aspect. Tourists have different cognition of
the importance of infrastructure, and will perform
different behaviors for certain behaviors and
activities, as well as different degrees of willingness.
In reality, the better the infrastructure, the more
willing tourists are to spend. The more important the
infrastructure, the more willing the tourists are. But
in reality, infrastructure has little impact on tourists'
willingness. Chinese medicine health tourism is
different from simple tourism, involving many
aspects, staying longer than mass tourism, more
demanding basic requirements. Therefore, the author
believes that the more important the infrastructure,
the more willing the tourists are.
H7: Infrastructure has a significant impact on the
intention of health tourism
Based on the above assumptions, this paper
constructed the ETPB theory model of tourists'
intention to travel for Chinese Medicine. See Fig1 for
details.
Figure 1: Theoretical model of extended planning behavior.
4 RESEARCH DESIGN
4.1 Research Methods
Based on the theoretical analysis of literature, this
study uses empirical analysis method to explore the
influence of individual attributes, scenic attributes,
attitudes, subjective norms, perceptual control and
other factors on tourists' intentions. At the same time,
questionnaires and random sampling were used to
select some groups as research samples. According to
the determination method of sample size in sampling
survey, 500 valid sample data were planned for this
study, and 551 valid sample data were actually
obtained. For the collected data, the invalid samples
were firstly eliminated through sample screening, and
then the score distribution, variable correlation,
demographic distribution and other information of
the data results were preliminarily obtained through
descriptive statistics and other analysis methods of
valid data. At the same time, reliability test and
confirmatory factor analysis were combined to verify
the quality of data and model. In addition, the
structural equation analysis model of the
comprehensive influence relationship between
variables was established, and the significance test of
regression coefficient in the structural model P <0.05
was taken as the critical criterion of significant
influence.
4.2 Measurement Variables
In order to make the results more objective and
accurate, and before the questionnaire need index
definition for the variables in the model, the model of
information such as gender, age group and other
objective factors is commonly used in the
questionnaire survey data collection methods, the
continuous variables such as age, family income in a
reasonable manner after the grouping variable into a
grade, Educational background is divided into
primary school to graduate school, and professional
ICEMME 2022 - The International Conference on Economic Management and Model Engineering
702
background is divided into Chinese medicine,
tourism and other majors, so as to explore the
influence of professional correlation on group
willingness. Due to the theoretical model
constructing, involves subjective factors such as
attitude, direct measurement when there is a big
subjectivity and randomness, easy to generate
random errors, so each measure using multiple
subject, subjective variables analysis by foreign show
subject to extract the latent variable factor, realize the
data acquisition of subjective variables, All questions
are coded using the Five-point scoring method of
Likert Scale
,
where 1-5 means "completely disagree"
to "completely agree" (Kai, 2006).
5 DESCRIPTIVE STATISTICS
AND CORRELATIOS
ANALYSIS
5.1 Statistics Survey
After screening, a total of 551 valid sample data were
obtained in this questionnaire survey, among which
the group between 18 and 27 years old accounted for
more than 50%, followed by the group between 28
and 45 years old accounted for 31.8%. The female
group is slightly higher than the male group; College
education and above accounted for 72.8%;
Household income is more evenly distributed; majors
accounted for 22.9%, tourism for 39.2%, and other
majors accounted for 37.9%.
5.2 Reliability Analysis
Reliability, also called reliability, refers to the degree
of stability of questionnaire survey results. In theory,
a good questionnaire should be reliable only when
repeated measurements are made to the same group.
However, it is impossible to use such multiple
measurements in actual tests, so it needs to be
evaluated internally from the questionnaire survey
results. In general, kronbach α coefficient value is
used as an internal index to evaluate the reliability of
questionnaire results. When α>0.9, the reliability of
questionnaire results is very good; when α< α<0.9,
the reliability of questionnaire results is good; when
it is lower than 0.7, the reliability parameters need to
be revised and re-tested (Ma, 2000).
According to the above principles, spSS24.0
statistical analysis software was used to calculate the
overall reliability of the scale and the reliability of
each dimension. Among them, the overall reliability
of likert scale reached 0.942. In the total statistical
results of items, the correlation between the revised
items and the total score was higher than 0.4, and the
cronbach α value after deletion was not higher than
the overall reliability. All topics can be reserved for
further analysis.
The reliability test results show that the reliability
values of all dimensions in the questionnaire are
above 0.8, and the questionnaire survey results are
relatively stable with high reliability.
Table1: Reliability of each dimension.
Dimension Number Reliability
Selfish attitude(1) 3 0.844
Social pressure(2) 3 0.885
Personal pressure(3) 3 0.887
Convenience(4) 3 0.883
Natural resources(5) 3 0.881
Human resources(6) 3 0.876
Basic fee(7) 3 0.882
Infrastructure(8) 3 0.895
Intention(9) 3 0.880
5.3 Validity Analysis
Based on the reliability and descriptive statistical
analysis results, confirmatory factor analysis was
conducted for likert scale variables in the
questionnaire. The test results showed that
RMSEA=0.014<0.08; CFI=0.997> 0.9; TLI =
0.996 > 0.9, SRMR=0.020<0.08;
2/DF=318.341/288=1.105<3, all fitting parameters
meet the requirements of the analysis standard, and
the model has good structural validity. Table 2 shows
the calculation results of load values, combined
reliability CR, mean variance extraction AVE and
other parameters in likert scale. Among them, the
standardized load value of each topic is above 0.7,
and CR value is higher than 0.8, AVE higher than 0.6.
All latent variables in the model have good
aggregation validity. See Table2 for details.
Research on Influencing Factors of Chinese Medicine Health Tourism Choice Intention of Tourists Based on ETPB Theory
703
Table 2: Test of subject load values and variable aggregation validity.
Dim Load value Standardized loa
d
SE t
p
CR AVE
1
1.000 0.830
0.846 0.647 0.798 0.781 0.041 19.356 <0.001
0.875 0.801 0.045 19.320 <0.001
2
1.000 0.829
0.885 0.720 1.003 0.861 0.044 22.886 <0.001
0.961 0.856 0.042 23.105 <0.001
3
1.000 0.824
0.889 0.727 1.110 0.859 0.047 23.412 <0.001
1.240 0.875 0.053 23.450 <0.001
4
1.000 0.826
0.884 0.718 0.988 0.865 0.043 22.993 <0.001
1.025 0.851 0.045 22.590 <0.001
5
1.000 0.848
0.882 0.714 0.987 0.869 0.040 24.551 <0.001
0.940 0.817 0.042 22.463 <0.001
6
1.000 0.783
0.877 0.704 1.152 0.874 0.054 21.288 <0.001
1.171 0.858 0.056 20.769 <0.001
7
1.000 0.825
0.882 0.714 1.073 0.872 0.046 23.307 <0.001
1.019 0.837 0.046 22.176 <0.001
8
1.000 0.833
0.896 0.742
0.988 0.876 0.041 24.016 <0.001
1.061 0.874 0.044 23.895 <0.001
9
1.000 0.844
0.880 0.710 0.897 0.827 0.039 23.015 <0.001
1.001 0.857 0.042 23.603 <0.001
In addition, the correlation coefficient matrix of
each dimension is sorted out according to the
calculation results of latent variable correlation, and
the square root of AVE is taken as the value of the
diagonal dimension to compare the relationship
between latent variable correlation and AVE square
value. It can be seen from the data in the table that the
correlation coefficients of all dimensions are lower
than the corresponding value of diagonal positions,
indicating that the correlation between dimensions is
weaker than the aggregation of variable dimensions
themselves, so all latent variables in the model have
good discriminative validity. See Table 3 for details.
Table 3: Validity test of variable differentiation.
1 2 3 4 5 6 7 8 9
1 0.804
2 0.494 0.849
3 0.543 0.479 0.853
4 0.415 0.448 0.595 0.847
5 0.598 0.634 0.599 0.531 0.845
6 0.350 0.327 0.341 0.381 0.482 0.839
7 0.505 0.513 0.533 0.535 0.638 0.478 0.845
8 0.401 0.342 0.425 0.353 0.436 0.292 0.415 0.861
9 0.570 0.558 0.611 0.602 0.687 0.486 0.633 0.492 0.843
ICEMME 2022 - The International Conference on Economic Management and Model Engineering
704
6 STRUCTURAL MODEL
ANALYSIS AND HYPOTHESIS
TESTING
First of all, to groups of individual properties,
attitude, subjective norm, perceived control, the
scenic spot attribute factors as prediction variables,
groups' willingness to travel as outcome variables,
structural equation regression model is established,
on the inspection results to choose the international
comparison recognized five indicators to
discriminant model adaptation degree, selection and
adaptation standard (DAWN, 2010).
Secondly, the path test analysis, regression
coefficient and results show. The four indicators of
attitude, subjective norms, perceived behavioral
control medium egoistic attitude, social pressure,
personal pressure and convenience degree have a
significant positive regression effect on tourism
intention. The group with higher variable score has a
stronger intention to participate in health tourism. In
addition, the attributes of natural resources, human
resources, basic cost and infrastructure also have a
positive impact on the tourist intention. The higher
the evaluation of natural resources, human resources,
basic cost and infrastructure, the higher the tourist
intention. See Table2 for details.
Figure 2: Path coefficient test.
7 RESEARCH CONCLUSIONS
AND RECOMMENDATIONS
7.1 Conclusion
The empirical results show that natural resources are
unique and diverse, reasonable basic fees and high
family income have the second most influence on
tourists' behavior choice. Personal pressure,
educational background and social pressure also have
a positive impact on tourists' behavior choice.
7.2 Suggestion
According to the above research conclusions, in order
to effectively improve tourists' willingness to travel
for Chinese medicine and health care, suggestions are
as follows:
7.2.1 Strengthen Propaganda
Health tourism experience tour is launched for this
group, and will be translated into practical actions, so
as to improve the group's awareness of health
tourism, take the health benefits of health tourism into
heart, and guide them to relatives and friends.
7.2.2 Analyze Requirement
Different groups have different needs for health
tourism projects. Personalized and scientific health
care contents are customized for individual needs,
and health care knowledge is taught with the help of
Internet and other technologies.
7.2.3 Protect Resource
Natural resources is a Chinese medicine, to raise the
premise condition of tourism development, tourism
will be in Chinese medicine, to raise the kinds of
natural resources, unique in the first place, in the
development of Chinese medicine, a travel should be
practical and protect the scenic spots of natural
resources, human resources at the same time also will
have a positive impact to tourists, therefore, the
protection and development complement each other,
improve the infrastructure, To improve the
willingness of tourists and realize the healthy and
orderly development of health tourism.
7.2.4 Perfect Law
Chinese medicine health tourism is different from
mass tourism in that tourists' consumption will
Research on Influencing Factors of Chinese Medicine Health Tourism Choice Intention of Tourists Based on ETPB Theory
705
increase when they stay for a long time. Moreover, a
large part of the fees for tickets, accommodation, food
and other aspects of scenic spots must be spent.
Therefore, in order to improve the willingness of
tourists to make behavioral choices, a unified price
system must be implemented to protect the basic
rights and interests of tourists.
In addition, the influence of social pressure and
personal pressure should be considered. Around a
friend's recommendation and inner comparing to
tourists behavior has also had a certain effect, but the
factors as part of the subjective initiative, the author
thinks that only through education and inner
adjustment to solve, it also became the deficiency of
the study, in the following study, the author will
continue to explore better able to solve the problem
of countermeasures.
REFERENCES
DAWN I. Structural equations modeling: fit indices,
sample size, advanced topics[J]. Journal of consumer
psychology, 2010, 20(1):90-98.
HongLiang Qiu. Ethical norms and tourists' behavior
intention of civilized Tourism: An extended Model
based on TPB [J]. Zhejiang Social Sciences, 2016(3):
96-103+159.]
Huaqiang Li, Chen Wu, ChunMei Fan. Research on
influencing factors of residents' green travel based on
intelligent Transportation technology: Grounded
Analysis based on TPB and TAM Integrated Model [J].
Modern Urban Research,2018(12):2-8.]
LingMin Kong. Research on the influencing factors of
ticket payment intention of tourist attractions [J].
Economist,2010(3):194+198.
LiBin Kai. Statistical Analysis and Fuzzy comprehensive
Evaluation of Likert scale [J]. Shandong Science,
2006(2):18-23+28.
MARION J. Wellness tourism: Annals of tourism research,
2011, 38(2):737-739.
Ming Gao, Wei He. Model construction and empirical
research on the promotion of national cultural soft
power by civilized tourism: A case study of Chinese
tourists in Angkor, Cambodia [J]. Tourism forum, 2020,
13(04):33-46.]
Peng Li, YongMing Zhao, HuiYue Ye. Tourism forum,
2020, 13(1):69-81.]
ShuXin Zhu, ShuangYu He, FeiFei Hu, et al. Research on
forest health tourism intention and its influencing
factors -- a case study of guangzhou city [J]. Journal of
central south university of forestry and technology
(social science edition),2020,14(3):113-120.
WeiCai Huang. Guangdong Social Sciences, 2011(2): 214-
223.]
WenJun Ma, Bo Pan. Reliability and validity of
questionnaire and how to analyze it with SAS software
[J]. Chinese Journal of Health Statistics, 2000(6):45-46.
XuanYu Ren. Tourism Tribune,2016,31(11):1-4. (in
Chinese)
Yi Zhang, DaMing You. An empirical study on the
influencing factors of employees' willingness to
innovate in science and technology enterprises: a TPB
perspective [J]. Nankai management review, 2014,
17(4):110-119.
ICEMME 2022 - The International Conference on Economic Management and Model Engineering
706