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Mobile Virtual Work A New Paradigm phần 7 potx
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236 Peter Richter, Jelka Meyer and Fanny Sommer
10.3 Task-related and organisational factors of mental
workload
10.3.1 Individual work in virtual settings
Mental workload, mental strain and their effects are strongly associated
with working conditions and task characteristics (e.g. ergonomic design of
the workplace and decision latitude, respectively). In this section we will
provide empirical evidence that this is particularly apparent in virtual settings. These factors can be assessed by means of objective and subjective
tools. Objective work analysis tools, such as structured observation, are
applied to assess work conditions and task characteristics independently
from the workers’ perceptions and interpretations (Semmer et al. 2004).
The problem of observing the mental and internal requirements of work
tasks is addressed through the so-called observational interview, which
combines structured observations and interview techniques. This method
can be used to assess important stressors and resources at work as well as
the workers’ personal perceptions and interpretations. This applies to work
conditions, job demands as well as processes and consequences of mental
strain. The use of both independent observations of task demands and subjective analysis tools provide a more complete and valid estimation, as
compared to the exclusive use of subjective data about perceived demands
and well-being.
The authors developed a pilot study to measure the differences between
tasks in virtual and non-virtual work, with respect to task characteristics
and consequences of mental strain. Their findings were based on the observation of 18 virtual teams in Research & Development, IT and Human
Resources departments from Great Britain.T
1T Members of these teams
worked from various locations, co-operated by means of ICT. Some of
them took part in temporally limited projects; others had been working together over a long-term period of time.
Furthermore, this study collected data on perceived mental strain from
subjects working in 55 comparable jobs in public service and 19 jobs in
production. In order to compare their findings from the interviews on job
contents with the findings from these traditional work places, the authors
used a sub-sample form Debitz (2004).
These teams’ task characteristics were evaluated by means of the REBA
(Richter et al. 1998). It is based on the Task Diagnosis System (TDS,
Hacker 2003) and is used to analyse work tasks from the perspective of the
T
1T We would like to thank Fred Zijlstra, University of Surrey/Guilford, for his kind
support and cooperation in this project.
10 Well-being and Stress in Mobile and Virtual Work 237
action-regulation theory. First, information about the job is collected by
document analyses and observational interviews, and then the work description is evaluated with respect to 22 task characteristics. Eight of these
characteristics play a significant role in predicting the following short-term
negative consequences of mental strain: mental fatigue, monotony, mental
satiation and stress. The perceived workload was estimated by using an interval-scaled questionnaire for fatigue, monotony, satiation and stress
(BMS, Plath and Richter 1984). Additionally, stress, in the form of negative appraisal (see 2.2), and other forms of mental strain were assessed by
means of other questionnaires (Job Stress Survey, Spielberger 1994; BMSquestionnaire, Plath and Richter 1984; Rockstuhl 2002).
The findings of the objective and subjective work analyses were compared to data gathered from production and public service jobs. Table 10.1
shows the results.
Table 10.1. Objective job demands, fatigue and stress in virtual teams compared
to non-virtual productive and public service activities (Debitz 2004)
TBS/REBAScaleTaT
Productive
jobs
19 activities
M
Public
service
55 activities
M
Virtual teams
18 activities
M
Significant
differences
Sequential
completeness
3.6 3.7 3.7 n.s.
Organisational
tasks
3.5 3.6 4.4 p < 0.001
Kind of
cooperation
4.1 4.7 8.2 p < 0.001
Responsibility 3.0 3.7 3.9 p < 0.01
Learning
requirements
1.9 3.2 3.8 p < 0.001
Level of
participation
3.5 2.6 6.5 p < 0.001
Length of work
cycle
4.9 5.4 6.3 p < 0.001
Amount of
cooperation
3.2 3.7 4.1 p < 0.05
BMS fatigueP
b
P 56..9 53.0 50..5 p < 0.05
BMS stressP
b
P 55.7 56.4 52..2 p < 0.001
P
a PHigher values stand for enriched job demands
P
b
P
T-scale: T=50+10z, higher values stand for higher levels of fatigue or
stress
238 Peter Richter, Jelka Meyer and Fanny Sommer
Compared to the non-virtual activities, the assessed virtual teams have
more enriched job characteristics: In virtual teams more organisational
tasks and functions are transferred to the members, group work was, to a
greater extent, organised by the group itself, members faced significantly
more learning demands and responsibilities and were more involved in
planning processes. They exhibited a greater amount of cooperation, which
took place mainly by means of ICT, and furthermore, their work consisted
of longer work cycles. Virtual and mobile work places are more flexible
and require intensive interaction with ICT tools. Dynamic work environments, temporally limited projects and network organisations with selforganised teamwork thus cause enriched job demands among virtual teams
and organisations. On the other hand, higher levels of stress and lower levels of fatigue were observed in the virtual teams. This corresponds with
Montreuil and Lippel’s (2003) findings that perceived stress tends to be
greater for more favourable, or more enriched job tasks. Measures of mental strain were further correlated to job demands, as shown in table 10.2.
Table 10.2. Correlations between measures of mental strain (JSS, BMS) and job
demands in virtual teams
Job demand scale Job Stress Survey
(Spielberger
1994)
BMS monotony
(Plath and Richter
1984)
BMS stress
(Plath and Richter
1984)
Sequential
completeness
.59* .60*
Organisational
tasks
.56*
Responsibility .69*
Learning
requirements
-.83*
Level of
participation
-.76*
Length of work
cycle
-.90*
Amount of
cooperation
.69P
a
P
N=19; Significance P
a P
p<.05 (age, gender and working time are partialised
out)
High levels of learning requirements, a high degree of participation, and
low degree of task repetition (length of work cycle) are correlated with reduced monotony. On the other hand, contrary to existing results of work
analyses, rising sequential completeness and organisational demands as
well as an increasing level of responsibility and an increasing amount of
10 Well-being and Stress in Mobile and Virtual Work 239
cooperation were all associated with significantly increased symptoms of
job stress in the assessed sample.
Thus, these results support the curvilinear hypotheses of enriched job
demands in the vitamin model (Warr 1987): e.g. highly demanding tasks in
the virtual environment are associated with stress symptoms and skill utilization, but are also characterised by much higher levels of cognitive and
social demands compared to classical co-located work places.
These results can only be referred to as preliminary, and at this point no
definitive conclusion of the impact of virtual and mobile work on workers’
health and well-being can be drawn. The present studies mainly indicate
that certain characteristics of the work, tasks and the team may be associated with ones well-being and health. Thus, further research is necessary to
detect what specific conditions of virtual and mobile teamwork may result
in risks to the workers’ physical and psychological health.
Summary
• Work in virtual teams has more enriched job characteristics (e.g. amount
of organisational tasks, learning requirements and the level of participation) than traditional jobs
• Contrary to existing results of work analysis, enriched job characteristics in the context of virtual teams are associated with increased symptoms of job stress
• There could be a curvilinear interrelation between health and enriched
job demands (Vitamin model, Warr 1987)
10.3.2 Aspects of collaboration in mobile virtual work
The decision to create mobile and/or virtual work teams is generally based
on financial factors, such as economic needs, company mergers or expansionist policies. Virtual and mobile teams enable organisations to connect
experts and exchange knowledge by eliminating the barriers of time and
space. Most companies expect excellent performance from virtual teams,
because such teams are designed to consist of competent people, able to
work at locations with optimal conditions on tasks that are often challenging and motivating (for an overview see Andriessen 2003, Furst et al.
2004, Hertel et al. 2005, Vartiainen et al. 2004).
Virtual tools make working life easier and much more difficult at the
same time. Technologically-mediated communication allows for cooperation between people located all over the world on one task. Neither the location of a person nor their profession, company or nationality has an im-