Innovation as a Factor of Sustainable Development during a

Pandemic: Scientific Analytics and Management Perspectives

Anastasia A. Sozinova

and Aliia M. Baziyeva

Vyatka State University, Kirov, Russian Federation

Batken State University, Kyzyl-Kiya, Kyrgyzstan

Keywords: Sustainable development, innovation, COVID-2019 pandemic, post-pandemic, scientific analytics,

management perspectives.

Abstract:

Sustainable development goals are considered by all countries. However, each country has its own specifics

in innovative development. In addition, the current stage of the world economy development is characterized

by competition for leadership in world markets, where innovation is the main tool. In this connection, studying

the dependence of the country's innovative development and the level of sustainability is relevant. The purpose

of this research is to test the hypothesis and scientific analytics of introducing innovations as a factor in the

sustainable development of the economy and to identify the prospects for managing this factor in order to

maintain sustainability. The methodological apparatus of the research is based on the methods of economic

statistics (econometrics), namely the method of variation, methods of correlation and regression analyzes,

analysis of variance. The scientific value and novelty is the assessment of prospects for managing innovative

development in the context of the sustainable development methodology

1 INTRODUCTION

The global economy managed to recover from the

financial and economic crisis of 2008, but then a new

crisis caused by the COVID-2019 pandemic came. In

this regard, the problem of sustainable development of

the economy at the present time and its prospects are

highly urgent. Therefore, there is a need to determine

the factors influencing sustainable development.

Features and factors of sustainable development of

the modern economy are studied by such scientists as

Andronova et al. (Andronova,

2019), Goyal and Sergi

(Goyal,2015), Haabazoka (Haabazoka, 2019),

Inshakov et al. (Inshakov, 2019), Karanina et al.

(Karanina, 2019), Morozova et al. (Morozova, 2019),

Petrenko et al. (Petrenko, 2018), Popkova et al.

(Popkova, 2014), Popkova et al. (Popkova, 2017),

Popkova et al. (Popkova, 2016), Pozdnyakova et al.

(Pozdnyakova, 2017), Ragulina et al. (Ragulina,

2019a), Ragulina et al. (Ragulina, 2019b), Sergi

(Sergi, 2018), Sergi et al. (Sergi, 2019a), Sergi et al.

(Sergi, 2019b), Sozinova et al. (Sozinova, 2021a),

Sozinova et al. (Sozinova, 2021b), Tripathi et al.

https://orcid.org/0000-0001-5876-2823

https://orcid.org/0000-0001-9387-5890

(Tripathi, 2020), Zavyalova et al. (Zavyalova, 2018),

Zhang et al. (Zhang, 2018).

Prospects for improving the practice of making

management decisions in conditions of economic

crises are considered by Bogoviz et al. (Bogoviz,

2018), Fufacheva et al. (Fufacheva, 2017), Kataeva et

al. (Kataeva, 2017), Popkova et al. (Popkova, 2021a),

Popkova et al. (Popkova, 2021b), Soboleva et al.

(Soboleva, 2017) and others. The issues of introducing

innovations are analyzed by Loginov and Karanina

(Loginov, 2019), Palkina et al. (Palkina, 2020a),

Palkina et al. (Palkina, 2020b), Palkina and Kislitsina

(Palkina, 2018), Snigireva et al. (Snigireva, 2017).

The article proposes a hypothesis that the

introduction of innovations is an effective factor of

sustainable development. The aim of the study is to

test the hypothesis and scientific analytics of

introducing innovations as a factor of sustainable

economic development, and to identify the prospects

for managing this factor in order to maintain

sustainability.

The scientific value and novelty is an assessment

of prospects for managing innovative development in

Sozinova, A. and Baziyeva, A.

Innovation as a Factor of Sustainable Development during a Pandemic: Scientiﬁc Analytics and Management Perspectives.

DOI: 10.5220/0010701700003169

In Proceedings of the International Scientiﬁc-Practical Conference "Ensuring the Stability and Security of Socio-Economic Systems: Overcoming the Threats of the Crisis Space" (SES 2021),

pages 323-329

ISBN: 978-989-758-546-3

323

the context of sustainable development methodology,

and the results of a statistical analysis of depending

manifestations of sustainable development on

innovative development in countries

2 MATERIALS AND METHODS

The research has studied the example of the leaders

(countries from the top 20) of the World Bank global

ranking for 2020 according to the value of the index

of doing business for 2020.

The methodological apparatus of the research is

based on the methods of economic statistics

(econometrics), namely:

 the method of analysis of variation, which

calculates the arithmetic mean over the sample (x

mean

standard (root-mean-square) deviation (s) and

coefficient of variation (V = s/x

mean

*100%) and

determines the spread of data (degree of homogeneity)

of the sample;

 the method of correlation analysis, with the

help of which the correlation coefficient (r) and the

coefficient of determination (R

) are calculated and

the interdependence of the variables included in the

time series is revealed;

 the method of regression analysis, with the

help of which a multiple linear regression model of the

form y=a+b

+…+b

is compiled. The

values of the coefficients b in this model show how the

dependent variable (y) changes when each

independent variable changes by 1;

 an analysis of variance, which evaluates the

statistical significance of the results of regression

analysis by Fisher's F-test (F

obs

must be greater than

tabl

) and Student's t-test (t

obs

must be greater than t

tabl

Calculations are performed using automation tools

based on standard functions ("AVERAGE",

"STANDARDDEVAL") of the "Data Analysis"

function of the Microsoft Excel computer program.

Statistical materials of the Sustainable development

index Global Innovation index (2020), World

Economic Forum (The global competitiveness report

2019) are the information and empirical base of the

study.

Using the method of regression analysis, firstly,

the authors have determined the dependence of the

manifestations of sustainable development,

highlighted in the content analysis of the literary

sources The Global Innovation Index (GII) (2020) by

constructing regression curves. Secondly, a

multifactorial model of the regression dependence of

sustainable development in the country on the selected

potential factors has been built (Table 1).

Table 1: Statistics for correlation and regression analyzes in the top 20 countries.

Position in the ranking

doing business 2020

Country

The Global

Innovation

Index,

points 1–

100

Manifestations of sustainable development

Global

Competitiv

eness Index

4.0, points

–

100

Economic

growth rate,

GDP per

capita

2020,

PPP$

GDP per capita

2019, PPP$

Sustainable

Developme

nt Index,

points 1–

100

y1 y2 y3

for reference, for

calculation x2

The developed

countries

(top 10)

New Zealand 26 76,7 -10,94 35 744,00 40 135,40 43,6

Singapore 8 84,8 -10,23 90 080,20 100 344,70 7,9

Denmark 6 81,2 -9,75 47 040,40 52 120,50 35,5

The Republic of Korea 10 79,6 -5,54 39 059,70 41 350,60 27,4

USA 3 83,7 -9,2 56 844,30 62 605,60 18,1

Great Britain 4 81,2 -10,55 40 881,30 45 704,60 39,1

Developing

countries

(top 20)

Malaysia 33 74,6 -6,98 28 705,90 30 859,90 46,6

UAE 34 75 -12,63 60 618,60 69 381,70 11

Thailand 44 68,1 -8,72 17 778,80 19 476,50 73,7

Russia 47 66,7 -11,58 25 878,70 29 266,90 68,5

China 14 73,9 -5,98 17 027,50 18 109,80 51,7

Turkey 51 62,1 -11,73 24 675,50 27 956,10 67,5

Aver-

age

- 23,33 75,63 -9,49 40 361,24 44 776,03 40,88

Source: compiled by the authors based on materials (Globalinnovationindex.org, 2020; Weforum.org, 2019; Wipo.int, 2019;

Sustainabledevelopmentindex.org).

SES 2021 - INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE "ENSURING THE STABILITY AND SECURITY OF

SOCIO - ECONOMIC SYSTEMS: OVERCOMING THE THREATS OF THE CRISIS SPACE"

324

Source: compiled by the authors.

Figure 1: Correlation analysis of depending manifestations of sustainable development on innovative development.

Source: compiled by the authors.

Figure 2: Correlation analysis of the dependence of the Global Competitiveness Index 4.0 and Sustainable Development

Index.

3 RESULTS AND DISCUSSION

Based on the data in Table 1, the following results of

correlation analysis were obtained (Fig. 1). At the

same time, the indicators of the Global Innovation

Index and Global Competitiveness Index 4.0 are

measured in points, but they are reciprocal. Since, in

accordance with their methodology, The Global

Innovation Index varies from 1 to 100, the closer to 1,

the better the innovative development of the country,

and in accordance with the methodology for

calculating the Global Competitiveness Index 4.0, the

closer the country's indicator is to 100, the better.

Similarly, the indicators of Economic growth rate,

GDP per capita are reciprocal in relation to The

Global Innovation Index.

As can be seen from Fig. 1, the top 10 and top 20

countries are influenced by innovative development

on the level of the country’s competitiveness (78.68%

and 79.45%, respectively) and the average impact on

the overall sustainable development index (45.88%

and 44.04% respectively). Innovative development

has a rather weak effect on the country’s GDP, which

is proved by the analysis of studied years (2020 and

2019).

In addition, the high level of correlation between

the indicators of the Global Competitiveness Index

4.0 and the Sustainable Development Index (Fig. 2),

which indicates the need for regression analysis with

the Sustainable Development Index, should be noted.

As it can be seen, the correlation analysis partially

confirmed the scientific hypothesis about depending

Innovation as a Factor of Sustainable Development during a Pandemic: Scientiﬁc Analytics and Management Perspectives

325

manifestations of sustainable development identified

in the content analysis on the innovative development

of the country. Three of the four manifestations of

sustainable development depend on innovative

development: Global Competitiveness Index 4.0,

Economic growth rate (only in developing countries)

and Sustainable Development Index. GDP per capita

showed a weak connection with innovative

development, and therefore we exclude it from

further regression analysis.

Firstly, let us consider the regression statistics of

the correlation of the dependent variable y

(Global

Competitiveness Index 4.0) on the factor x (indicators

of the Global Innovation Index). By the method of

analysis, it is determined (by the coefficient of

determination) that the dependence is better described

by the linear function y

(x)=a

*x. The regression

statistics of this equation are given in Table 2.

Table 2: Regression statistics.

Regression statistics

Multiple R 0,928544784

R-square 0,862195415

Normalized R-square 0,848414957

Standard erro

6,998923948

Observations 12

Source Developed and compiled by the authors.

The calculated multiple R = 0.9285 suggests that

the 92.85% change in the Global Competitiveness

Index 4.0 is due to the change in the Global

Innovation Index. The normalized coefficient of

determination (0.8484) characterizes the closeness of

the constructed regression to the original data. In our

case, the R-square and the normalized R-square do

not differ significantly (0.8622 and 0.8484,

respectively), which positively characterizes the

constructed model. The results of analysis of variance

are shown in Table 3.

According to Table 3, the observed value of the F-

Fisher criterion: F

obs

= 2.4. Tabular value F

tabl

2.156. Since F

obs

> F

tabl

(2.4> 2.156), the equation is

considered statistically significant. The calculated

coefficients of the regression equation are given in

Table 4.

Analysis of Table 4 allows to conclude that a

model y

=201,528-2,356 * x is obtained. The

calculated p-value does not exceed 0.05, therefore,

the model is statistically significant at the α = 0.05

level. To assess the statistical significance of the

regression coefficient, let us analyze the observed

value of the Student's t-test: 3.912 (for the coefficient

). For a given level of significance (α = 0.05) and n-

2 = 12-2 = 10 degrees of freedom, the tabular value

of the t-criterion: t

tabl

= 2.228. Since t

obs

of each

regression coefficient is greater than t

tabl

, then we

recognize the statistical significance of the regression

coefficients.

Thus, the regression analysis has shown that the

growth of innovative development by 1 point

contributes to the growth of the Global

Competitiveness Index 4.0 2.35 points (the indicators

are reversed).

Secondly, let us consider the regression statistics

of the correlation of the dependent variable y

(Economic growth rate) on the factor x (Global

Innovation Index indicators) in developing countries.

The analysis is carried out in a similar way, we

present only the results of the study.

Table 3: Analysis of variance.

df SS MS F Value F

Regression 1 3064,817 3064,817 62,56653 2,4

Remainder 10 489,8494 48,98494

Total 11 3554,667

Source Developed and compiled by the authors.

Table 4: Calculated coefficients.

Coefficients Standard error t-statistics P-value Low 95% High 95%

201,5286045 22,61855 8,909882 4,53E-06 151,1313375 251,9259

-2,356041488 0,29786 -7,9099 1,3E-05 -3,01971451 -1,69237

Source Developed and compiled by the authors.

SES 2021 - INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE "ENSURING THE STABILITY AND SECURITY OF

SOCIO - ECONOMIC SYSTEMS: OVERCOMING THE THREATS OF THE CRISIS SPACE"

326

The resulting model is: y

=5,11-3,34 * x. The

regression analysis has shown that the growth of

innovative development by 1 point contributes to the

growth of the Economic growth rate in developing

countries by 3.34 points (the indicators are reversed).

Thirdly, let us consider the regression statistics of

the correlation of the dependent variable y

(Sustainable Development Index) on the factor x

(Global Innovation Index indicators). The analysis is

carried out in a similar way, we present only the

results of the study.

The resulting model is: y

=0,79+0,55 * x.

Regression analysis has shown that the growth of

innovative development by 1 point contributes to the

growth of the Sustainable Development Index by 0.55

points.

Based on the presented results of correlation and

regression analyzes, the authors present the prospects

for managing innovative development, the results of

which are shown in Table 5.

Table 5 proves the hypothesis that innovative

development stimulates sustainable development.

Statistical calculations have proved that there are two

forms of manifestations of sustainable development,

which are influenced by the innovative development

of countries (countries from the top 20) of the World

Bank's global ranking for 2020 according to the value

of “doing business” index - Global Competitiveness

Index 4.0 and Sustainable Development Index.

Developing countries are characterized by an impact

on the third form of manifestation of sustainable

development - Economic growth rate. The direct

results of the innovative development of countries are

an increase in the country's rating in terms of key

indicators characterizing sustainable development.

A debatable issue in the context of this research is

the impact of innovative development on such

manifestations of sustainable development as

Economic growth rate in the top 10 countries of the

World Bank global ranking for 2020 by the value of

“doing business” index and GDP per capita, which

will be further studied.

Table 5: Prospects for managing innovative development for sustainability.

Indicators

Manifestations of sustainable developmentя

Global

Competitiveness

Index 4.0, y

Economic growth rate, y

GDP per capita, y

Sustainable

Development Index,

Independent

variable

Global Innovation Index, x

The relationship

between

variables

reverse reverse reverse direct

Assessment of

depending

manifestations

of sustainable

development on

cluster

developmen

high (correlation is

78,68% and 79,45%)

high correlation among

developing countries (correlation

68.97), weak connection among

developed countries (correlation

19.12%)

medium and weak

connection

(correlation

33.15% and -

1.04%)

average (correlation

45.88% and 44.04%)

Regression

dependence

=201,528-2,356 * x

Developing countries only:

=5,11-3,34 * x

Weak closeness of

the constructed

regression to the

original data

=0,79+0,55 * x

Consequences

of the rise / fall

of the

independent

variable

If the independent

variable changes by

1%, the dependent

variable improves /

worsens its

performance by 2.36.

In developing countries if the

independent variable changes by

1%, the dependent variable

improves / worsens its

performance by 3.34.

If the independent

variable changes by

1%, the dependent

variable improves /

worsens its

performance by 0.55.

Conclusion on

the prospects for

management

The country's

innovative

development is an

important element

that stimulates global

competitiveness

The innovative development of

developing countries is an

important element in stimulating

global competitiveness. It is not

possible to assess the prospects

for innovative development of

developed countries due to the

weak relationship between

indicators

It is not possible

to assess the

prospects due to

the weak

relationship

between the

indicators

Innovative

development is an

essential element for

stimulating

sustainable

development

Source: compiled by the authors.

Innovation as a Factor of Sustainable Development during a Pandemic: Scientiﬁc Analytics and Management Perspectives

327

4 CONCLUSIONS

The research is theoretically significant as its results

and authors' conclusions contribute to the

development of the concept of sustainability. The

scientific value and novelty is an assessment of the

prospects for managing innovative development in

the context of sustainable development methodology,

as well as the results of a statistical analysis of

depending manifestations of sustainable development

on innovative development in countries.

REFERENCES

Andronova, I. V., Chernova, V. Y., Starostin, V. S.,

Degtereva, E. A., 2019. Study of sector-specific

innovation efforts: the case from Russian economy. In

Entrep. Sustain. Issues. 7(1). pp. 540–552.

Bogoviz, A.V., Sozinova, A. A., Ostrovskaya, V.V., 2018.

Approaches to Managing Economic Growth of Socio-

economic Systems. Management of Changes in Socio-

Economic Systems. In Studies in Systems, Decision and

Control. 135.

Fufacheva, L. A., Lepeshkin, S. M., Fokina, O. V.,

Sozinova, A. A., Shchinova, R. A., 2017. Improvement

of the Mechanism of Provision of Food Security of

Russia Within Management of Risk System of

Entrepreneurship. Overcoming Uncertainty of

Institutional Environment as a Tool of Global Crisis

Management. Contributions to Economics.

Global Competitiveness Report 2019: How to end a lost

decade of productivity growth, www.weforum.org.

Goyal, S., Sergi, B. S., 2015. Social entrepreneurship and

sustainability – understanding the context and key

characteristics. In J. Secur. Sustain. Issues. 4(3). pp.

269–278.

Haabazoka, L., 2019. Project finance for africa’s

construction sector: can stabilization funds work? The

Future of the Global Financial System: Downfall or

Harmony. ISC 2018. In Lecture Notes in Networks and

Systems. 57.

Inshakov, O.V., Bogachkova, L.Y., Popkova, E.G., 2019.

The transformation of the global energy markets and

the problem of ensuring the sustainability of their

development. In Lecture Notes in Networks and

Systems. 44. pp. 135–148.

Karanina, E., Alekseev, S., Loginov, D., 2019. Sustainable

development and economic security of the region. In

IOP Conference Series: Earth and Environmental

Science. 403(1). p. 012152.

Kataeva, N. N., Marakulina, I. V., Sanovich, M. A.,

Sozinova, A. A., Vasilyuk, N., 2017. Transformation of

Approach to Market Segmentation Within Crisis

Management of Global Entrepreneurship. Overcoming

Uncertainty of Institutional Environment as a Tool of

Global Crisis Management. Contributions to

Economics.

Loginov, D., Karanina, E., 2019. Investment as a factor of

economic security of the region. In E3S Web of

Conferences. 110. p. 02021.

Morozova, I. A., Popkova, E. G., Litvinova, T. N., 2019.

Sustainable development of global entrepreneurship:

infrastructure and perspectives. In Int. Entrep. Manag.

J. 15(2). pp.589–597.

Palkina, M. V., Matveeva, N. S., Palkin, A. Y., Psareva, N.

Y., Cherkasova, M. A., 2020. Managing the State

Support for Investment Activities for a Modern

Region’s Development Activization. In Lecture Notes

in Networks and Systems. 73. pp. 695–708

Palkina, M., Kislitsina, V., 2018. Factors improving

investment attractiveness of Russia’s depressed

regions. In Administratie si Management Public.

2018(30). pp. 141–154.

Palkina, M., Matveeva, N., Psareva, N., 2020. The

innovative activity in depressed regions of the Russian

Federation. In E3S Web of Conferences, 210, p. 16021.

Petrenko, E., Pritvorova, T., Dzhazykbaeva, B., 2018.

Sustainable development processes: service sector in

post-industrial economy. In J. Secur. Sustain. Issues.

7(4). pp. 781–791.

Popkova, E. G., Poluyufta, L., Beshanova, Y., Popova,

L.V., Kolesnikova, E., 2017. Innovations as a basis for

marketing strategies of Russian oil companies in the

conditions of oil prices reduction. Contributions to

Economics (9783319606958). pp. 449–455.

Popkova, E. G., Saveleva, N. K., Sozinova, A. A., 2021. A

New Quality of Economic Growth in “Smart”

Economy: Advantages for Developing Countries.

"Smart Technologies" for Society, State and Economy.

ISC 2020. In Lecture Notes in Networks and Systems.

155.

Popkova, E. G., Savelyeva, N. K., Sozinova, A. A., 2021.

Smart Technologies in Entrepreneurship: Launching a

New Business Cycle or a Countercyclical Instrument

for Regulating the Economic Situation. "Smart

Technologies" for Society, State and Economy. ISC

2020. In Lecture Notes in Networks and Systems. 155.

Popkova, E. G., Shakhovskaya, L. S., Abramov, S. A.,

Natsubidze, A. S., 2016. Ecological clusters as a tool of

improving the environmental safety in developing

countries. In Environ. Dev. Sustain. 18(4). pp. 1049–

1057.

Popkova, E.G., Dubova, Y. I., Yakovleva, E. A., Azarova,

N. A., Titova, E.V., 2014. Role of ecological marketing

in formation and development of ecological cluster. In

Asian Soc. Sci. 10(23). pp. 1–8.

Pozdnyakova, U. A., Popkova, E. G., Kuzlaeva, I. M.,

Lisova, O. M., Saveleva, N. A., 2017. Strategic

management of clustering policy during provision of

sustainable development. Contributions to Economics

(9783319454610). pp. 413–421.

Ragulina, Y. V., Alekseev, A. N., Strizhkina, I. V.,

Tumanov, A. I., 2019a. Methodology of criterial

evaluation of consequences of the industrial revolution

of the 21st century. In Studies in Systems, Decision and

Control. 169. pp. 235–244.

SES 2021 - INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE "ENSURING THE STABILITY AND SECURITY OF

SOCIO - ECONOMIC SYSTEMS: OVERCOMING THE THREATS OF THE CRISIS SPACE"

328

Ragulina, Y. V., Semenova, E. I., Avkopashvili, P. T.,

Dmitrieva, E. A., Cherepukhin, T. Y., 2019b.

Toppriority directions of implementing new internet

technologies on the territories of rapid economic

development. In Advances in Intelligent Systems and

Computing. 726. pp. 182– 188.

Sergi, B. S., Popkova, E. G., Sozinova, A. A., Fetisova,

O.V., 2019b."Modeling Russian Industrial, Tech, and

Financial Cooperation with the Asia-Pacific Region".

Tech, Smart Cities, and Regional Development in

Contemporary Russia. pp. 195-223.

Sergi, B. S., 2018. Exploring the Future of Russia’s

Economy and Markets: Towards Sustainable Economic

Development.

Sergi, B. S., Popkova, E. G., Borzenko, K.V.,

Przhedetskaya, N.V., 2019a. Public-private

partnerships as a mechanism of financing sustainable

development. Financing Sustainable Development:

Key Challenges and Prospects. pp. 313–339.

Snigireva, G. D., Kazakova, M. A., Mironova, O. A.,

Palkina, M. V., Bespyatyh, V. I., 2017. A Conceptual

approach to the assessment of regional innovation

environment factors based on the index method. In

Espacios. 38(54). p. 30.

Soboleva, O., Sozinova, A., Spengler, A., Fokina, O.,

Savelyeva, N., 2017. Mechanisms of Regulation of

Economic Processes in a Region. Overcoming

Uncertainty of Institutional Environment as a Tool of

Global Crisis Management. Contributions to

Economics.

Sozinova, A. A., Kosyakova, I. V., Kuznetsova, I. G.,

Stolyarov, N. O., 2021b. Corporate Social

Responsibility in the Context of the 2020 Economic

Crisis and Its Contribution to Sustainable Development.

Modern Global Economic System: Evolutional

Development vs. Revolutionary Leap. ISC 2019. In

Lecture Notes in Networks and Systems. 198.

Sozinova, A. A., Sofiina, E.V., Safargaliyev, M. F.,

Varlamov, A.V., 2021a. Pandemic as a New Factor in

Sustainable Economic Development in 2020: Scientific

Analytics and Management Prospects. Modern Global

Economic System: Evolutional Development vs.

Revolutionary Leap. ISC 2019. In Lecture Notes in

Networks and Systems. 198.

Sustainable development index,

www.sustainabledevelopmentindex.org.

The Global Innovation Index (GII) 2019, /www.wipo.int.

The Global Innovation Index (GII) 2020,

www.globalinnovationindex.org.

Tripathi, D., Priyadarshi, P., Kumar, P., Kumar, S., 2020.

Micro-foundations for sustainable development:

leadership and employee performance. In Int. J. Organ.

Anal. 28(1). pp. 92–108.

Zavyalova, E. B., Studenikin, N. V., Starikova, E. A., 2018.

Business participation in implementation of socially

oriented sustainable development goals in countries of

central Asia and the caucasus region. In Central Asia

Caucasus. 19(2). pp. 56–63.

Zhang, D., Wang, C., Zheng, D., Yu, X., 2018. Process of

innovation knowledge increase in supply chain network

from the perspective of sustainable development. In

Ind. Manag. Data Syst. 118(4). pp. 873–888.

Innovation as a Factor of Sustainable Development during a Pandemic: Scientiﬁc Analytics and Management Perspectives

329