Introduction: The COVID-19 pandemic shows contagion and mortality rates that exceed the initial forecast and has caused a series of effects in different spheres of individuals, including the labor sphere. Objectives: To examine the relationship between business support and effects derived from COVID-19 in Mexican and Colombian workers and to identify the factors that can predict productivity. Methods: The sample included 482 people from both countries, 381 women (79%) and 101 men (21%). Two instruments were used: one scale to measure business support and the other to measure COVID-19 effects. A multivariate design was used to understand the factorial structure of the instruments through confirmatory factor analysis, and a predictive design was used based on structural equation modeling. Results: Statistical analysis was conducted through the confirmatory factor analysis and found a factorial solution that fitted the theoretical approach to the data in both instruments, and the structural equation model showed an adequate goodness-of-fit (X 2 = 320.110, p = 0.000; comparative fit index = 0.90; root mean square error of approximation = 0.07). Conclusions: According to the results, it was observed that both instruments presented an adequate goodness-of-fit to the data. The structural equation showed that leadership (0,420) and daily disturbance (-0.558) are predictors of labor productivity. Specifically, a positive leadership style facilitated group performance and therefore the achievement of results. Daily disturbance, such as effects derived from COVID-19, negatively affects productivity; therefore, all actions taken by organizations to provide support will promote mental health and will thereby help to achieve the expected productivity.
Introduction: The COVID-19 pandemic shows contagion and mortality rates that exceed the initial forecast and has caused a series of effects in different spheres of individuals, including the labor sphere. Objectives: To examine the relationship between business support and effects derived from COVID-19 in Mexican and Colombian workers and to identify the factors that can predict productivity. Methods: The sample included 482 people from both countries, 381 women (79%) and 101 men (21%). Two instruments were used: one scale to measure business support and the other to measure COVID-19 effects. A multivariate design was used to understand the factorial structure of the instruments through confirmatory factor analysis, and a predictive design was used based on structural equation modeling. Results: Statistical analysis was conducted through the confirmatory factor analysis and found a factorial solution that fitted the theoretical approach to the data in both instruments, and the structural equation model showed an adequate goodness-of-fit (X 2 = 320.110, p = 0.000; comparative fit index = 0.90; root mean square error of approximation = 0.07). Conclusions: According to the results, it was observed that both instruments presented an adequate goodness-of-fit to the data. The structural equation showed that leadership (0,420) and daily disturbance (-0.558) are predictors of labor productivity. Specifically, a positive leadership style facilitated group performance and therefore the achievement of results. Daily disturbance, such as effects derived from COVID-19, negatively affects productivity; therefore, all actions taken by organizations to provide support will promote mental health and will thereby help to achieve the expected productivity.
The pandemic has affected not only the economic and social spheres but also mental
health,[1-3] leading to job losses[4] and bringing important consequences both for
organizations and for workers.[5] To
face this crisis scenario, organizations seek to find alternatives to survive in the
immediate term and to implement strategic changes that allow for them to make
long-term projections.[6]Although this pandemic is global, some countries experienced greater effects, both
due to the number of cases and deaths and to the impact derived from a
disadvantageous social system, among other factors. According to recent data,
countries such as Mexico and Colombia are among the ten countries with the highest
number of COVID-19 infections in the world.[7]The pandemic has left several lessons to be learnt, such as understanding that
biological factors are essential to contain the virus, but psychological and social
factors play a transcendental role and are those that turned the pandemic into a
global disaster.[8] It is thus
crucial to understand psychological and social aspects; hence, work, labor
relationships, and occupational health are the focus of relevant studies.In this sense, the labor context has experienced major negative consequences derived
from the pandemic, which has put the sustainability of millions of organizations to
the test. Several sources of employment have been closed down, some others have
migrated to remote work, essential services have remained in the frontline, in a
constant effort that brought repercussions to workers either due to long working
hours, blunders resulting from the lack of guidelines and policies, negative
leadership styles, among other factors. Conversely, some work cultures facilitate
work continuity with lower occupational burnout, thanks to their efforts in
implementing strategies aimed at workers’ well-being and mental health care.
Business support to work during COVID-19
Organizational culture and the production sphere pose multiple challenges both to
entrepreneurs and workers. One of these challenges is that organizations make
their processes more efficient and implement strategic actions to respond to the
crisis, which involves, among other essential elements, identifying the
leadership styles required in these times and that respond to the needs for
efficiency and achievement of goals. Times of crisis highlight the importance of
appropriate management of working teams, with leaders who provide clear
directions, make optimal attribution of responsibilities, and make proper use of
management skills, such as assertive communication, resilience, and
innovation.[9,10]Conversely, it was the first time that organizations implemented remote work to
adapt to the unexpected confinement measures imposed to reduce virus spread. In
this sense, millions of workers had to adopt this modality to continue to
work.[11]Remote work may become highly satisfactory when considering the time saved by not
commuting and that could be spent in activities that were possibly neglected,
including the opportunity of greater family interaction, achieving a better
work-life balance. Workers who adapt to this modality with the monitoring of a
leader and established policies, increase their work engagement, sense of
belonging, quality of work, and other factors that affect business
productivity.[12]In turn, business support obtained in this management will make it easier to
adopt remote work by establishing an appropriate relationship between the
manager and employees, as well as constant and effective feedback, timely
identification of emotional effects. Contact should be maintained regardless of
the distance, making workers feel as a crucial element in the team.[11]Productivity and work satisfaction are related to several aspects, and workers
decide to remain in jobs where they have the opportunity of using their skills
and have varied assignments, constant feedback, fair wages, among others. The
positive relationship between both variables contributes for satisfied workers
to become productive workers.[13]Even though constant efforts have been made to establish occupational guidelines
in several workplaces, the organizations that have the human element as the
center that guides business sustainability.
Effects derived from COVID-19
Effects caused by COVID-19 are multiple and involve daily life disturbances,
concerns, and fears, among others. The Organization for Economic Co-operation
and Development estimates a 2.4% decrease in global economic growth for 2020,
because supply chains, raw material, loss of business confidence, and crisis in
several sectors will be present; this decrease could lead to economic recession
in some countries.[14] This
implies instability in global economy, with different repercussions for each
country, since economic and political developments are heterogeneous, which
interferes with national economies.[15]Thereby, disturbances in daily life during the pandemic may cause important
mental health sequelae that are partially associated with labor problems and job
loss.[16] Job loss has
not only economic repercussions; it also affects the sense of life and
well-being,[17] because
the space where work in carried out is not only a scenario of positive
interchange and being understood but also a space of life[18] where people are able to
develop their skills and experience satisfaction for achieving their goals.Therefore, COVID-19 has changed everyday life,[19] causing fear in some people, related, for
example, with the probability of contagion, disease, and death.[20] Furthermore, difficulties that
may be experienced due to health emergency, because different activities were
moved to within households; which results in a longer stay in this place, with
an opportunity to strengthen affective bonds or to increase conflicts between
family member,[21] the latter
representing a risk for intra-familial violence.[22] Additionally, those who remain at home during
their working hours may have an additional risk factor derived from the
expansion of their roles, which is translated into increased working
hours,[23] disrupting
work-family conciliation and life balance.In addition to the above, many stressors associated with this health emergency
have led to an increase in suicide risk[24] and in the consumption of opioids,[25] of alcohol and
tabaco,[26] and of
audiovisuals media,[27] as well
as to worsening of psychiatric disorders.[28]In view of this need, the present study aimed to examine the relationship between
business support and COVID-19 effects on Mexican and Colombian workers, as well
as to identify the factors that can predict productivity. Precisely, this study
seeks to provide evidence to support the decision-making of business directors
addressing phenomena such as impacts on workers and business support and thus
contribute to the improvement of occupational health and business
sustainability.
Methods
Design
A correlational design was used to understand the factor structure of the
instruments through confirmatory factor analysis (CFA). In the second stage, a
predictive design was employed through structural equation modeling, in order to
identify the relationship of leadership, business support, daily disturbance and
predicted productivity.
Sample
Total sample included 482 people, 381 women (79%) and 101 men (21%). Half of the
sample came from Mexico, and half from Colombia. The sample was obtained through
contact with working people by social networks and email. They were invited to
participate and informed about the objective of the study (Table 1).
Table 1
Sociodemographic data of the sample
Variables
Mean (SD) Mexico
Mean (SD) Colombia
Sex
Women
189 (78.4%)
192 (79.7%)
Men
52 (21.6%)
49 (20.3%)
Age
18 to 23 years
23 (9.5%)
278 (11.2%)
24 to 40 years
153 (63.5%)
160 (66.4%)
41 to 55 years
58 (24.1%)
49 (20.3%)
56 years or older
7 (2.9%)
5 (2.1%)
No. of children
None
132 (54.8%)
155 (64.3%)
1 to 2 children
96 (39.8%)
76 (31.5%)
3 to 4 children
11 (4.6%)
9 (3.7%)
5 children or more
2 (0.8%)
1 (0.4%)
Marital status
Single
112 (46.5%)
135 (56%)
Married
41 (17.0%)
47 (19.5%)
Domestic partnership
78 (32.4%)
40 (16.6%)
Divorced
8 (3.3%)
16 (6.6%)
Widowed
2 (0.8%)
2 (0.8%)
Schooling
Elementary school
7 (2.9%)
13 (5.4%)
Technical career
17 (7.1%)
12 (5%)
Undergraduate degree
116 (48.1%)
97 (40.2%)
Graduate degree
101 (41.9%)
119 (49.4%)
Type of house
Own
153 (63.5%)
101 (41.9%)
Rented
49 (20.3%)
106 (44%)
Shared
39 (16.2%)
34 (14.1%)
Type of company
Public
67 (27.8%)
64 (26.6 %)
Private
174 (72.2%)
152 (63.1%)
Did not answer
-
25 (10.4%)
Instrument
Two scales validated for the concerned population were used.[29] The first scale assesses
business support to work during COVID-19 and consists of 16 questions in a
6-point Likert scale ranging from “Always” to “Never.” The scale is composed of
three factors and one indicator: business leadership (34% of explained variance,
alpha of 0.860), organizational support (11.64% of explained variance, alpha of
0.710), productivity (9.14% of explained variance, alpha of 0.710), and remote
work (7.35% of explained variance, alpha of 0.492). The instrument explains
62.14% of the variance, with an overall reliability of 0.842.The second scale measures effects derived from COVID-19 and is composed of 17
questions in a 6-point Likert scale ranging from “Never” to “Always.” The
validation of this instrument was reported by exploratory factor analysis. The
five factors included in the scale are: disturbance of daily life (31.69% of
explained variance, alpha of 0.705), economic effects (11.43% of explained
variance, alpha of 0.811), concern (7.81% of explained variance, alpha of
0.752), fear (6.24% of explained variance, alpha of 0.690), and occupational
effects (5.92% of explained variance, alpha of 0.783). Overall, the instrument
explains 61.3% of variance, with a reliability of 0.867.
Statistical analysis
In order to understand the structure of the instruments, a CFA was conducted for
each dimension; the analysis was conducted for categorical data, due to
non-normal data distribution. Subsequently, structural equation modeling was
employed to identify the variable that best predicts productivity in remote
work. Statistical analyses were conducted using SPSS software, version 22, and R
software 3.6.1.
Ethical considerations
This investigation is in compliance with the Declaration of Helsinki standards.
Informed consent was obtained. Furthermore, this study was approved by the
research ethics committee of Universidad Católica de Pereira, as stated in
protocol 092020.
Results
Confirmatory factor analysis
Business support to work during COVID-19
Through CFA, a factor solution was found to fit the theoretical proposal to
the data. The main indicators showed X[2]=3850.90, p = 0.00;
comparative fit index (CFI) = 0.97; root mean square error of approximation
(RMSEA) = 0.06, 95% confidence interval (95%CI) [0.49-0.75] (Figure 1).
Figure 1
Business support for work during COVID-19. * p <
0,001.
Effects derived from COVID-19
Through CFA, a factor solution was found to fit the theoretical proposal to
the data. The main indicators showed X[2]=331.51, p = 0.00; CFI =
0.97; RMSEA = 0.07, 95%CI [0.62-0.79] (Figure
2).
Figure 2
Confirmatory factor analysis of the COVID-19 effects scale. *
p < 0,001.
Structural equation model
Productivity is predicted by leadership, but not by organizational support.
Interestingly, productivity is negatively predicted by Daily disturbance;
however, Organizational support negatively predicts Daily disturbance. Thus,
organizational support may contribute to prevent daily disturbance and improve
productivity. The model showed appropriate goodness-of-fit
(X[2]=320.110, p = 0.000; CFI = 0.90; RMSEA = 0.07) (Figure 3).
Figure 3
Structural equation model for COVID-19 and productivity. * p <
0,001.
Discussion
According to study results, it was possible to observe that the two instruments
showed appropriate goodness-of-fit to data. The first instrument, related to
Business support, is composed of dimensions concerning Leadership, i.e., the
perception that the leader establishes a communication, plans strategies, and
organizes employees’ assignments. However, this instrument also includes a question
concerning on leaders and coworkers who communicate with employees, even outside
usual working hours, which affects life balance and prolongs the time during which
workers are dealing with work issues.The second dimension of COVID-19 effects encompasses the daily life disturbances
resulting from confinement. It is important to mention that this dimension
encompasses a series of situations such as family problems, work conflicts, fear of
contamination, and annoyance for not being able to perform everyday activities
outside home. This dimension is particularly important in the overall configuration
of the instrument.Structural equation showed relevant data: productivity is predicted by leadership
(0.420) and by daily disturbance (-0.558), but not by organizational support
(-0.057). Interestingly, companies that provide support in terms of flexibility and
interest do not have a direct impact on labor productivity, understood as the
achievement of work goals with work satisfaction. However, company support has an
impact on daily disturbance (-0.279). This result clearly indicates that actions of
company support could have an indirect impact on workers’ productivity by mitigating
disturbance, fear, and family conflicts, so that to experience greater satisfaction
with performing their tasks from home.One way to reduce this disturbance could be associated with building positive social
relationships, because it contributes to personal and professional development and
favors coping with adverse situations; in this regard, companies could design and
implement healthy organizational practices,[5] as a mechanism to promote workers’ mental health.It is necessary to accept that the pandemic has caused a global change[29] and that, consequently, companies,
their policies, guidelines, and especially the role of human aspects in work
organizations should be transformed. Therefore, in crisis times, there is an urgent
need to search for strategies to promote workers’ quality of life and organization
resilience, so that to also strengthen business structures that allow for greater
competitiveness.[5]This health emergency should be faced with disciplinary and professional
resources;[22,30] therefore, the results of this
investigation are expected to provide support for organizational decision makers to
review leadership styles and the support that they provide, as an institution, to
their working teams. This should be considered as a practice of social
responsibility and of human sense and as a strategic action, given its implications
for productivity.There are many challenges to be included in the work agenda, such as discovering new
perspectives, theories and methodologies that explain the processes of crisis but,
above all, allow for broadening knowledge on the ways to cope with adversity using
personal, organizational, and social resources.
Conclusions
Phenomena such as the pandemic provide the opportunity de measure, assess, and
propose constructs in organizational systems that improve labor productivity without
neglecting employees’ quality of life. Both variables are key for organizations to
remain in this competitive market even in times of crisis. In this sense, the
present investigation provides reliable measuring tools for the study population and
opens the possibility for additional studies to obtain evidence on the psychosocial
characteristics of both countries.In this context, and according to the findings of the present investigation, business
support, and thus the dimension associated with leadership, and COVID-19 effects,
especially daily life disturbance, predict labor productivity among Mexican and
Colombian workers. Therefore, it is essential to strengthen the inside of companies
and the actions aimed at a fostering business support, leadership, and workers’
health care in their daily activities, because these factors have an impact on
workers’ productivity.One of the limitations of this study is related to its sample size. We recommend that
the measuring instruments used herein, as well as other forms of measurement and
assessment, continue to be applied to provide a deeper understanding of the
consequences of social distancing, working from home, and business policies.
Furthermore, it is necessary to conduct additional studies that make it possible to
differentiate business support or policy and workers’ well-being. Future
investigations will be able to deepen the issue of what working from home means,
respecting working hours and the right to disconnection from work.
Authors: Elizabeth A Samuels; Seth A Clark; Caroline Wunsch; Lee Ann Jordison Keeler; Neha Reddy; Rahul Vanjani; Rachel S Wightman Journal: J Addict Med Date: 2020 Jul/Aug Impact factor: 3.702