Index

Citation

(2022), "Index", Limón, M.L.S. and García, M.L.S. (Ed.) Research in Administrative Sciences Under COVID-19, Emerald Publishing Limited, Leeds, pp. 193-201. https://doi.org/10.1108/978-1-80262-297-320221012

Publisher

:

Emerald Publishing Limited

Copyright © 2022 Emerald Publishing Limited

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INDEX

Academic stress

COVID-19

, 99–100

home confinement

, 100

method

, 103

results

, 103–111

theoretical framework

, 101–103

Academic workload

, 100

Accessibility

, 144

Adverse effects of pandemic

, 178

Affiliation, sense of

, 141

Agree scale

, 107

Agricultural subsistence businesses

, 34

Alibaba

, 142

Alliances with civil society

, 39–40

Amazon

, 138, 142

Amazon Handmade

, 41

Analysis of variance (ANOVA)

, 105, 107–108, 127–128

Apple

, 138

Apps

, 120

Artesano Estamos Contigo

, 40

Artisanal subsistence businesses

, 34

Asociación de Internet. mx

, 138, 142

seal of trust by

, 145

study of e-commerce

, 143

study on habits of internet users in Mexico

, 144

Aspirational groups

, 141

Attention

, 169

Bajo palabra

, 40

Banco de España

, 8

Bartering practices reactivation

, 38

Bartlett’s test of sphericity

, 92

Big data

, 24

Bloggers

, 141

Bolsa del Mercado de Valores (BMV)

, 50, 57

characteristics of public limited companies listed on

, 58

Brainstorming session

, 164

Broadband latency

, 18

Burnout

, 91–92, 122

correlation analysis

, 95–96

factor analysis

, 92–95

impact on university workers’ intention to quit in times of COVID-19

, 90–92

method

, 92

regression analysis

, 96

results

, 92

theoretical framework

, 90

Burnout syndrome

, 91, 102

Business

, 19, 34, 156

age and entrepreneurial orientation of

, 35

competitiveness

, 6, 180–181

doing business ranking

, 23

doing business using electronic media

, 138

environment in

, 34

strategy

, 179

worldwide

, 32

Business Insider Intelligence

, 142

Capital portfolios

, 60

Cardiovascular diseases

, 101

Centre for Complexity Sciences (C3)

, 76–79

Chronic stress (See Burnout syndrome)

CIGA

, 81–83

Civic needs

, 68

Civil protection entity

, 159

Civil society, alliances with

, 39–40

Classical theory of consumer behaviour

, 139

Client/supplier relationships

, 73

Clients, CSR and

, 185–186

Cloud

, 24

Collaborative software

, 120

Combination

, 69

Community, CSR and

, 186–187

Companies

capabilities and resources

, 178

development opportunities available to

, 181

long-term goal for

, 179–180

relative interest in unemployment rates

, 185

socially responsible

, 179

true ethical commitment

, 179

Competitive advantage

, 69–70

Competitive pressures

, 121

Competitivity

at macro level

, 8–14

at meso level

, 14–18

at meta level

, 18–26

at micro level

, 23–26

Computer Hassles

, 122

Consumer

, 139

behavior

, 140

ethical behaviour

, 183

society

, 139

Consumerism

, 139

Consumption habits

, 139–141

Contingency

, 34–35, 156

Coronavirus

, 184–185

Coronavirus epidemic 2019 (COVID-19)

, 1, 32, 49–50, 68, 90, 99–100, 156

burnout impact on university workers’ intention to quit in times of

, 90–92

contingency practices for obtaining income

, 37–38

e-commerce in times of

, 2

economic crisis caused by

, 36

effects of

, 50

foreign trade shares vis-á-vis COVID-19

, 52–54

health contingency

, 33

health crisis

, 34–35, 178

infection prevention strategies

, 100

influence on CSR

, 179–180

method

, 57–60

niches of opportunity

, 54–57

non-tariff regulatory and restrictive measures on export of goods

, 51

results

, 60–61

role of universities vis-á-vis

, 73–74

strategies for dealing with new COVID-19 pandemic in Mexico

, 79–81

subsistence businesses in COVID-19 contingency

, 33–36

systemic competitiveness of Latin American MSMEs under

, 8–26

theoretical framework

, 50

CORONAVIRUS/UNAM app

, 74, 84–85

‘Coronavirus’

, 74

Corporate social responsibility (CSR)

, 1, 178

and clients

, 185–186

and community

, 186–187

corporate behaviour in COVID-19 era

, 183

COVID-19 influence on

, 179–180

and employees

, 185

environmental practices during pandemic

, 183–185

and innovation

, 180–181

narrative literature review protocol

, 181–182

results

, 183

theoretical framework

, 179

Correlation analysis

, 95–96

Creativity

, 157–158

Cronbach’s alpha test

, 110–111, 126, 146–147

‘Dark side of technology use’

, 122

Data collection

, 103

Data entry screen method

, 169

Data Smog

, 121–122

Decision-makers

, 141

Depersonalisation

, 91

Design thinking

, 157–159, 166–168, 170–173

application of

, 161–165

development

, 161–165

method

, 157–161

results

, 165–169

theoretical framework

, 157

Desk-based research

, 7

Development Bank of Latin America (CAF)

, 8

Diabetes

, 101

Digital ecosystem

, 24

Digital technology

, 138

Director of knowledge management (DKM)

, 72

Directorate General for Academic Staff Affairs (DGAPA)

, 75, 79–81

Dogmatic thinking

, 158

E-commerce

, 138–139, 141–145

consumption habits

, 139–141

method

, 145–146

phases of

, 143

results

, 146–151

theoretical framework

, 139

ECLAC (Comisión Económica para América Latina y el Caribe)

, 57

Economic activity

, 50

Economic Commission for Latin America and Caribbean (ECLAC)

, 6, 8

Economic crisis

, 36

Economic model

, 90

Economic Policy

, 8–10

Economic problems

, 32

Economic reactivation programmes

, 157

Economically Active Population (EAP)

, 146

Education(al)

mobile technology in

, 120

model

, 119, 124

systems

, 100

technostress in educational environments

, 118

Electronic media

, 138

Emerging government support programmes

, 40–42

Emerging markets

, 90

demands through innovation and proactivity

, 38

Emotional exhaustion

, 91

Empathise

, 163

Empathy map

, 164

Employees, CSR and

, 185

Employer’s code

, 165

Employer’s Register (RP)

, 165

Enterprises

, 6

competitiveness

, 7

medium-sized enterprises

, 14

micro-sized enterprises

, 23

sector-specific enterprises

, 14

Entrepreneurial skills of small-scale producers

, 33

Entrepreneurs

, 41

Entrepreneurship

, 24, 33

Environmental Geography Research Centre (CIGA)

, 75

Environmental performance

, 184

ESG

, 184

European Union (EU), n16

Exhaustion (See Burnout syndrome)

Experience of technostress

, 121

Explanatory model

, 119

Exploratory factor analysis (EFA)

, 110

Export quota

, 52

External factors

, 140

Externalisation

, 69

Extraordinary call 2020

, 79–81

Facebook

, 39, 138

Factor analysis

, 92–95

Factor loading analysis

, 92–94

Financial sector

, 50

Fiscal Policy

, 13–14

measures adopted by LAC countries

, 15

5-point Likert scale

, 125, 130

questionnaire ranging

, 92

Fixed broadband speed

, 18

Flexibility practices

, 102–103

Food Support Program

, 40

Foreign Trade Law

, 52

Foreign trade shares vis-á-vis COVID-19

, 52–54

Fourth Digital Transformation (FDT)

, 24

Fourth Industrial Revolution

, 24–26

Free trade agreements (FTAs)

, 51

FTA between European Union and Mexico (EU-Mexico FTA)

, 51

General Data Protection Regulation (GDPR)

, 144

Generation X

, 143

Global Indicator of Economic Activity (IGAE)

, 52

Globalisation

, 50, 141

Goodness-of-fit test

, 111

Google

, 138

Google forms format

, 103

Gradual loss

, 91

Great Depression

, 1

Greenhouse gas emissions (GHG emissions)

, 184

Gross domestic product (GDP)

, 8, 32, 50, 178

Health

, 90, 121

crisis

, 34, 100

emergency

, 68

pandemic

, 184

Health contingency

, 100

Higher education

, 118

students in

, 120

technostress in higher education students

, 119

Historical narrative method

, 8

Home confinement

, 100

Human beings

, 158

Human interaction

, 157

Human resources (HR)

, 102

Humanity

, 157

life for

, 89

Hygiene

, 90

Ideate

, 164

Immaterial labour

, 70

and knowledge creation

, 69–70

Impetus

, 157

Import quota

, 52

In-depth content analysis

, 182

Income

COVID-19 contingency practices for obtaining

, 37–38

lack of

, 33

Industry 4. 0

, 24–26

Industry’s Digital Transformation

, 24

Infectious diseases

, 68

Influencers

, 141

Information

, 68, 70, 83, 161

fatigue

, 121

resources

, 76

systems variables

, 119

Information and communication technologies (ICTs)

, 118

Information Fatigue Syndrome

, 122

Information technology (IT)

, 123

Infrastructure for business development

, 17

Innovation

, 35, 36

business practices

, 38

CSR and

, 180–181

researchers

, 157

Instagram

, 39

Institute for the Promotion of Handicrafts of Tabasco (See Instituto para el Fomento de las Artesannsa de Tabasco (IFAT))

Institute of Applied Sciences and Technology (ICAT)

, 75

Institutional framework

, 19

Institutions

, 156

Instituto para el Fomento de las Artesannsa de Tabasco (IFAT)

, 40

Intangible assets

, 68

Intangible goods

, 68–69

Intellectual Property Rights

, 73

Intention to quit

, 92

burnout impact on university workers’ intention to quit in times of COVID-19

, 90–92

descriptive statistics and reliability of

, 95

factor loadings for

, 94

linear regression model for

, 96

representative for

, 96

Inter-American Development Bank (IDB)

, 8, 39, 68

Internal factors

, 140

Internalisation

, 69

International Labour Organisation (ILO)

, 8

Internet access

, 144

Internet of Things (IoT)

, 24

Interview

, 163

Job burnout variable

, 94–95

Kaiser–Meyer–Olkin test (KMO test)

, 92, 110

Knowledge acquisition

, 73

Knowledge dissemination

, 73

Knowledge innovation

, 73

Knowledge integration

, 73

Knowledge management

CORONAVIRUS/UNAM app

, 76–79

Extraordinary call 2020

, 79–81

immaterial labour and knowledge creation

, 69–70

infrastructure

, 72

infrastructure

, 72–73

knowledge protection

, 84–85

KVC

, 83–84

method

, 74–75

processes

, 73, 84

results

, 75

role of universities vis-á-vis COVID-19

, 73–74

theoretical framework

, 69

UNAM geographic information platform on COVID-19

, 81–83

at UNAM in response to COVID-19

, 68

UNAM University Commission for Care of Coronavirus Emergency

, 75–76

value chain model for

, 70–72

Knowledge protection

, 73

Knowledge storage capacity

, 72–73

Knowledge value chain model (KVC model)

, 68–69, 83–84

Knowledge workers

, 72, 80, 84

Labour

, 69

reforms

, 89–90

Latin America (LA)

, 5

Latin America and Caribbean (LAC)

, 8–9

Latin American Integration Association (ALADI)

, 51

Latin American MSME

, 6, 8

systemic competitiveness of Latin American MSMEs

, 8–26

Latin American universities

, 74

Legal protection of cyber consumer

, 144

Life for humanity

, 89

Likert scale

, 145

Linear regression model for intention to quit

, 96

Livelihood business contingency approach

alliances with civil society

, 39–40

COVID-19 contingency practices for obtaining income

, 37–38

emerging government support programmes

, 40–42

innovative and proactive business practices

, 38

low-price strategies

, 39

method

, 36–37

results

, 37

social media sales and promotions

, 38–39

subsistence businesses in COVID-19 contingency

, 33–36

theoretical framework

, 33

Logistics

, 144

Low-price strategies

, 39

Machine-to-machine communication (M2M communication)

, 24

Macro level, competitivity at

, 8–14

Macro level competitiveness of MSMEs

, 6–7

Market participation

, 23, 34

Marketing

, 140

Markets subsistence businesses

, 33

Maximum likelihood estimation

, 111

Mayo Clinic

, 102

Mental health

, 100–101

Meso level

competitiveness of MSMEs

, 6–7

competitivity at

, 14–18

Meta level

competitiveness of MSMEs

, 6–7

competitivity at

, 18–26

Methodological strategy

, 157

Mexican e-commerce

, 138

Mexican government authorities

, 156

Mexican Institute of Social Security (IMSS)

, 156

Mexican market index

, 60

top seven Mexican exporting companies and

, 59

Mexican Stock Exchange (BMV)

, 50

Micro competitiveness

, 24

Micro level

competitiveness of MSMEs

, 6–7

competitivity at

, 23–26

Micro-, small-, and medium-sized enterprises (MSMEs)

, 5–6, 32–33

advantages and disadvantages of

, 25

in LA

, 1416

policy

, 19

public policy scores for

, 20–21

Microeconomic analysis of behavior

, 139

Millennial generation

, 143

Ministry of Agriculture and Rural Development

, 54

Ministry of Economy

, 54

Ministry of Health

, 32

Mobile broadband

latency

, 18

speed

, 18

Mobile communications

, 24

tools

, 120

Mobile technology

in education

, 120

mobile technology-based learning

, 122

Moderating variables

, 126

Monetary Policy

, 10–13

Mosaic (first commercial web browser)

, 142

Multi-case study

, 74

Multiple case study

, 69

Multitasking Madness

, 122

Multivariate linear regression analysis

, 92

Narrative literature review protocol

, 181–182

National Association of Universities and Higher Education Institutions (ANUIES)

, 74

National Consumer Price Index (NCPI)

, 53

National Institute of Statistics and Geography (INEGI)

, 53

National Laboratory for Ecological Analysis and Synthesis (LANASE)

, 75

National Survey of Occupation and Employment (ENOE)

, 146

Negative psychological experiences

, 119–120

Niches of opportunity

, 54–57

Non-tariff regulatory

, 51

Non-traditional media

, 141

‘Normality’

, 118

Oaxaca Secretariat of Arts and Cultures (SECULTA)

, 41

Occupational Health Psychology

, 121

On-site model

, 131

Online 36-item questionnaire

, 103

Online class sessions

, 100

Online education

, 124

Online sales

, 143

Online shopping

, 143

Opportunity, niches of

, 54–57

Organisation for Economic Co-operation and Development (OECD)

, 5, 8, 142

Organisations

, 72

p-value

, 95

Pan American Health Organization

, 100

Pandemic

, 101, 179

adverse effects of

, 178

CSR environmental practices during

, 183–185

Payment Card Industry Data Security Standard (PCI DSS)

, 145

‘Perceived Security’

, 144

Portfolio selection methodology

, 50

Post facto case study

, 74

Post hoc analysis

, 131

Post-purchase

, 140

Pre-purchase

, 140

Principal component analysis

, 95

Proactive business practices

, 38

Proactivity

, 35, 36

attention to emerging market demands through

, 38

Problem solvers

, 157

Production Structure in Latin American Countries

, 14

Prototypes

, 164

Psychological impact

, 100

Public mental health

, 100

Public policy scores for MSME

, 20

Puebla’s civil protection

, 160

PUIS programme

, 75–79

Purchase

, 140

Purchasing process

, 140

Qualitative methodology

, 74

Quality of life

, 6

Quantitative approach

, 145

Quantitative methodological design

, 92

Quick Response code

, 159

Quotas

, 52

Reactivation of bartering practices

, 38

Reference groups

, 141

Regression analysis

, 96

Research and Technological Innovation Projects Support Programme (PAPIIT)

, 79–81, 85

Research hypothesis

, 50

Responsible behavior

, 183

Rural communities

, 33

Safety

, 90

‘Sample Size Calculator’

, 146

SARS-CoV-2 COVID-19 contingency

, 159

Scepticism

, 121

School of Medicine

, 76–79

Seasonal tariff

, 51

Security

, 144

Self-employment

, 33

Self-fulfilment, lack of

, 91

Sense of affiliation

, 141

Sharpe Index (SI)

, 59

Sharpe portfolio

, 59

weights and beta

, 61

Showrooming

, 143

Situational approach

, 35

Small-and medium-sized business system

, 90

Small-and medium-sized enterprises (SMEs)

, 19, 34, 57

Small-scale businesses

, 33–34

Small-scale producers

, 33

Smartphones

, 143

Social contingency

, 101

Social distancing

, 100, 156

Social media sales and promotions

, 38–39

Social networks

, 39

Social organisations

, 156

Social platforms

, 24

Social restrictions

, 118

Social Security Law

, 165

Socialisation

, 69

Socially responsible business

, 180

Socially responsible consumers

, 183

Sociedad Anónima Bursátil (SAB)

, 57

Solidarity

, 36

Spiral Model of Occupational Health (SMOH)

, 121

SPSS version 22. 0

, 146

Stakeholders recognition

, 181

Standard deviation of investment portfolio

, 60

Start-up business

, 156–157, 165

Statista

, 138

Statistical analyses

, 92

Strategic orientation

, 35

Stress

, 101

Students in higher education

, 120

Subsistence businesses

, 32

in COVID-19 contingency

, 33–36

Supply

, 144

Sustainability

, 183–185

Sustainable indicators

, 184

SWREG (online software sales company)

, 142

Symptomatology

, 121

Systematic literature review

, 181

Systemic competitiveness

, 6

competitivity at macro level

, 8–14

competitivity at meso level

, 14–18

competitivity at meta level

, 18–23

competitivity at micro level

, 23–26

development

, 8

method

, 7–8

model

, 6–7

Tariff-quota

, 51

Tariffs

, 50, 51

Tax measures

, 14

Technoaddiction

, 122

Technoanxiety

, 122, 125

Technofatigue

, 121, 125

Technoinefficacy

, 125

Technoinefficiency

, 122

Technological complexity

, 121

Technological insecurity

, 121

Technological invasiveness

, 121

Technological overload

, 121

Technological uncertainty

, 121

Technology

, 38, 124

Technostress

, 118, 119–120

in higher education students

, 119

method

, 125–126

results

, 126–131

theoretical basis of

, 120–125

Technostress Creators Inventory (TCI)

, 120

Teleworking

, 100, 103

3D printing

, 24

Tlaquepaque City Council

, 41

Traditional Markowitz investment portfolio selection methodology

, 50

Traditional Markowitz model

, 57, 59

Traditional media

, 141

Transfer method

, 70

UNAM geographic information platform on COVID-19

, 75, 81–83

Undersecretary of Foreign Trade of the Ministry of Economy

, 51

Unemployment

, 33

University

, 68

impact on university workers’ intention to quit in times of COVID-19

, 90–92

role of universities vis-á-vis COVID-19

, 73–74

students

, 120

technostress among

, 120

Value chain model for knowledge management

, 70–72

Webrooming

, 143

WhatsApp

, 39

Work, technostress in

, 118

Work technostress, complications derived from

, 123

Work-related stress

, 91, 101

Working at home

, 102

World Bank Group

, 8

World Health Organisation (WHO)

, 32, 99, 121

World Tourism Organisation

, 32

World Trustmark Alliance (WTA)

, 142