2. Work Ability and Ageing
Several studies indicated that age is significantly and negatively associated with work ability [
5,
6,
7,
8,
9,
10]. Ilmarinen and Ilmarinen [
11] explained that this decline is due to the imbalance between individual resources and the demands of the job, namely the work and the organisational context not being aligned to the age-related changes in personal resources.
Reflecting on this topic is important because workers with decreased work ability are at greater risk of reduced productivity at work, and poor work ability is predictive of sickness absences, early retirement, disability pensions, intention to leave, stress, and depression [
3,
5,
8,
12,
13,
14].
This theme has assumed a strong relevance in recent years, given the increase in the average age of workers: in Europe, the employment rate in the 55–64 years old cohort increased by 9.8% in 2008–2016, and the percentage of workers aged over 55 in Italy was 46.2% in 2014 [
15]. Workforce ageing is more pronounced in the public service than in the private sector, especially in Italy, where the percentage of employees aged 50 years or older in the public sector was more than 50%, while the same percentage in the total labour force was around 40% [
16]. In the Italian public administration (PA), in 2001, the average age was 44.2 years, while in 2016, it was 50.7 years. Distribution by age groups makes the Italian demographic picture in the PA even more alarming: in 2016, only 2.7% of the public workers were 18–29 years old; 11.5% were 30–39 years old; 29.5% were 40–49 years old; 41.3% were 50–59 years old; and 15% were over 60 years old [
17]. Consequently, problems related to ageing and the critical issues associated with this phenomenon are particularly significant in the public sector.
2.1. Job Control and Work Ability
One of the questions with regard to an ageing workforce is how employees can maintain their function with an acceptable level of work ability over their lifespan, despite a loss of resources. The job demands-resources model (JD-R) [
18] assumes that work factors which affect workers’ psychological health can be classified into two categories: job demands and job resources. Job demands (those aspects of the job that require workers to sustain psychological or physical effort) are associated with costs in terms of health, and job resources (those physical, psychological, social, or organisational aspects of the job that may help to achieve work goals, reduce job demands and the related physiological and psychological costs, and stimulate personal growth and development) lead to a positive effect on organisational outcomes. Regarding this model, several studies showed that work ability could be sustained by some resources, such as job control. Job control describes autonomy in making job-related decisions and the opportunity to use skills at work. In the job demand-control-support (JDC-S) model [
19], Karasek (1979) underlines the importance of control to sustain well-being at work. According to this evidence, studies showed that job control can attenuate the negative impact of age on work ability [
10]. Similarly, Van den Berg et al. [
8,
9] observed that the negative effects on work performance of decreased work ability could be partly counterbalanced by increased job control, while McGonagle et al. [
20] observed that skill discretion moderated the negative relationship between job demands and work ability. More generally, the literature highlighted that decision authority [
21,
22,
23,
24,
25] and skill discretion [
23,
25,
26,
27,
28] were very important dimensions in promoting work ability and well-being at work. The lifespan perspective on work design [
23] proposed that some job resources had a stronger positive relationship with indicators of occupational well-being among older workers. More specifically, the literature showed that job control [
21,
22,
23,
24,
27,
28] was a very important resource for work ability, and in particular, for older workers.
2.2. SOC Strategies and Work Ability
Another model that has been associated with work ability is the Selection, Optimization and Compensation (SOC) model; it proposes that in situations characterised by high demands and limited resources (that may occur during ageing), individuals can make use of a set of four strategies that help them to invest their resources in an optimal way [
29,
30,
31,
32,
33]. In fact, employees often face multiple demands and pursue several goals simultaneously. However, their resources might not always suffice to meet all demands, and thus, employees need to adapt their behaviour to deal with requests. Freund and Baltes [
34] consider SOC strategies as goal-related behaviours. Selection refers to priorities and objectives based on personal preferences (elective selection) or due to perceived loss of resources (loss-based selection). A key aspect of elective selection is the choice of a small number of goals. Optimisation involves investment of time and energy into the acquisition of goal-relevant means, while compensation involves the acquisition and application of alternative strategies or use of external aids (e.g., technology) to maintain a desirable level of performance when previous resources have been lost. In sum, people can implement these strategies by selecting the aspects of their lives that are important to them, optimising the resources and tools that help them achieve their goals in the selected areas, and compensating for losses by adapting to vital environmental changes. Some authors argue that the four strategies act in a synchronised and coordinated way [
31] and represent “one combined and orchestrated process” [
32]. The synchronised use of SOC strategies enables successful ageing [
31]. Over the years, researchers have demonstrated that the use of SOC strategies predict outcomes, such as work ability, job performance, and occupational well-being.
A recent study by Weber et al. [
29] found that favourable working conditions, in terms of a high degree of job control, as well as individual compensation strategies, could help older employees to maintain work ability. Similarly, Weigl et al. [
30] found that the negative relationship between age and work ability was weakest for employees with a high level of job control and significant use of SOC strategies. Moreover, Von Bonsdorff et al. [
35] observed that using SOC strategies at work can help employees compensate for resource loss, which results in a better balance between employees’ resources and job requirements; that is, their work ability. In 2014, some authors [
36] provided evidence for positive associations of job resources with work engagement, mediated through the use of SOC. Baltes et al. [
32] observed that SOC strategies could protect against work-family conflict. In this view, SOC strategies can help older workers cope with age-related declines [
37,
38].
2.3. Interplay between Job Control, SOC Strategies, and Work Ability
Some studies considered the relationship between job control, SOC strategies, and work ability. For example, Müller et al. [
39] showed that job control and SOC were positively related with work ability, and that the positive effect of job control on work ability was significantly mediated through SOC in a sample of nurses. Similarly, Weigl et al. [
30] suggested that the use of SOC strategies and job control were conducive to maintaining the work ability of ageing employees. However, Müller et al. and Weigl et al. affirmed that the use of the four SOC strategies was necessarily “orchestrated”, “synchronised”, and “coordinated”, considering only a little the impact of the four single strategies. Few studies have paid attention to each single component of the SOC model. For example, Zacher et al. [
38] found that optimisation and compensation were useful for maintaining work engagement, and Weber et al. [
29] observed that only compensation had a positive effect on work ability. As a result, Segura-Camacho et al. [
40] recently said that it is necessary to consider the role of the four SOC strategies.
2.4. Aims of the Study
The goal of this study is to investigate the work ability of administrative workers and the interplay between job control, selection (elective and loss-based), optimisation, compensation at work, and age in determining work ability in administrative workers.
As previously reported, job control and SOC strategies can positively impact work ability; however, no previous study has tested the mediation role of SOC strategies, considered as four sub-dimensions, between job control and work ability. Consequently, one of the aims of the study is to provide additional and more detailed information on the role of the four sub-dimensions of SOC. Furthermore, in an original way, compared to previous research, our study tested the roles of moderation, either direct or indirect, and of age, imagining that the use of job control and SOC strategies were more relevant with increasing age [
33,
34,
37,
38].
These goals were important in order to identify elements of support for work ability and sustainability at work, and to provide useful indications for the planning of organisational interventions [
41,
42,
43,
44].
2.5. Hypotheses
We developed the following hypotheses:
Hypothesis 1 (H1). Job control is positively related to work ability.
Hypothesis 2 (H2). The use of SOC strategies at work (all four single strategies) is positively related to work ability.
Hypothesis 3 (H3). Job control is positively related to the use of elective selection, loss-based selection, optimisation, and compensation.
Hypothesis 4 (H4). The use of SOC at work (all four single strategies) mediates the relationship between job control and work ability.
Hypothesis 5 (H5). Age might play a role as a moderator in the direct or indirect effect (including path a: job control–work ability; and path b: SOC strategies–work ability) of job control on work ability. More specifically, age might play the part of a moderator in: (1) the relationship between job control and work ability; (2) the relationship between job control and SOC strategies; and (3) the relationship between SOC strategies and work ability.
According to our hypotheses, we confirm that job control, elective selection, optimisation, and compensation at work are factors that help to protect work ability, especially as workers get older. Moreover, job control also affects work ability indirectly, through optimisation and compensation strategies.
5. Discussion
This study investigated the work ability of administrative workers, examined the mediating role of SOC strategies (also considered separately) among job control and work ability, and explored the relationship between job control, optimisation and compensation, age, and work ability via moderated mediation models.
The findings indicate that job control, SOC strategies, and age were correlated to work ability, but the effects of these factors were different. To sum up the hypotheses: H1 has been confirmed, and job control was positively related to work ability. H2 has been partially confirmed. The use of elective selection, optimisation, and compensation at work was positively related to work ability; however, loss-based selection was not associated with work ability. H3 has been partially confirmed. Job control was positively related to use of optimisation and compensation. However, a negative relationship between job control and elective selection emerged, and there was no relationship between job control and loss-based selection. H4 has been partially confirmed. Optimisation and compensation strategies mediated the association between job control and work ability [
39]. Conversely, selection did not mediate the relationship between job control and work ability. H5 has been partially confirmed. The direct effect of job control on work ability was moderated by age, and also, the direct effect of optimisation on work ability was moderated by age. Both the direct effect of job control on work ability and the indirect effect of job control on work ability, through optimisation and compensation strategies, were stronger as age increased.
In the present study, the mean score of work ability was 36.1 (SD ± 5.9), which was lower if compared with the scores that were found in previous studies on work ability among administrative workers. For example, Godinho et al. [
14] observed an average WAI among the administrative workers of 41.6 (SD ± 5.1) in Brazil. Similarly, in the Netherlands, Schouten et al. [
49] and Reeuwijk et al. [
50] found average WAIs of 42.7 (SD ± 4.7) and 42.1 (SD ± 4.8) among office workers. In Italy, Costa and Camerino [
51] observed an average WAI of 42 (SD ± 3.9) among clerks. This result was in line with the mean age, which was higher than that found in other studies—52 years old in our study, 45 years old in that of Godinho et al. [
14], 47.8 for the case of Schouten et al. [
49], and only 43.3 years for the study of Reeuwijk et al. [
50]. In our study, the average age was higher, which could explain the lower WAI [
52]. Another explanation could be based on gender. In our study, the workers were almost completely female, and previous studies found that work ability of women was generally lower than that of men [
14], probably because they perform two sets of tasks: professional and domestic [
53].
Given these problems (significant ageing and a low WAI), it is necessary to consider the possible resources available to support the work ability of administrative workers in the public sector. Our results revealed a positive correlation between job control and work ability, which was consistent with previous studies [
8,
9,
10,
26,
29,
30,
38]. This result confirmed that job control is a crucial resource for work ability.
In addition, the use of SOC strategies, especially optimisation and compensation, was an aid for work ability, according to the studies of Müller et al. [
39,
54], Weigl et al. [
30], and Weber et al. [
29], confirming that the use of “successful ageing strategies”, such as SOC, are conducive to the psychological capability of administrative workers to perform their work.
Results further point to a positive relation between job control and optimisation and compensation strategies. More job control was associated with the use of optimisation and compensation strategies at work. This finding confirmed the studies of Müller et al. [
39] and Weigl et al. [
30], which suggested that the use of SOC strategies requires favourable working conditions, especially suitable job design and job autonomy. Job control provides employees with the discretion to select their goals and to invest available resources on the basis of their preferences, rather than following rigid work routines that leave little space for SOC strategy use [
33].
The current study highlighted optimisation and compensation strategies as a partial form of mediation between job control and work ability, which may reveal the underlying mechanism through which job control might indirectly influence work ability. In this way, job control would favour the adoption of optimisation and compensation strategies, indirectly protecting work ability. Also, the study by Müller et al. [
39] provided support concerning SOC strategies as a form of mediation between job control and work ability.
In contrast to other studies [
35,
39], we did not use the unique dimension of SOC strategies, but instead we used elective selection, loss-based selection, optimisation, and compensation separately, based on a recent study by Segura-Camacho et al. [
40]. The authors underlined that while most studies used overall SOC or three strategies (selection, optimisation, and compensation), few studies included four dimensions [
33,
40]. From this viewpoint, our study underlined that selection strategies, especially loss-based selection, were not very effective in protecting work ability. This is in line with Zacher et al.’s findings [
38], which showed that optimisation and compensation, but not selection, had positive effects on work engagement, and the study by Segura-Camacho et al. [
40], which found optimisation and compensation to have a moderating role (in contrast with elective and loss-based selection) in the relationship between task characteristics and employee well-being. Similarly, Demerouti et al. [
55] found that compensation was the most successful strategy in buffering the negative associations of disengagement with supervisor-rated task performance, and both disengagement and exhaustion with supervisor-rated adjustment to change. Weber et al. [
29] observed that only compensation had a positive, albeit weak, effect on work ability.
However, we can imagine that working as an employee in a public context makes it difficult to select the objectives of your work, while it is easier to optimise your resources and to compensate for any limits. For this reason, selection does not mediate the relationship between control and work ability.
Moreover, Müller et al. [
39] and Von Bonsdorff et al. [
35] revealed the moderating effect of age on the association between SOC strategies and work ability (Müller et al. observed a positive moderating effect, while Von Bonsdorff et al. observed a negative moderating effect). We found a positive moderating effect of age on the association between job control and work ability. This means that older respondents benefit more from job control in maintaining their work ability [
56]. According to this, the direct and indirect effects of job control on work ability were stronger as age increased, confirming one of the basic propositions of the SOC model [
31], which underlines that older workers, in particular, benefit from SOC strategies [
57].
The study has several practical implications. First of all, to support the work of administrative workers, it is necessary to redefine the work and promote job control. In addition, the workers should be acquainted with and trained using the SOC model and SOC strategies at work, especially regarding optimisation and compensation. These are essential to sustain work ability, and the results, in fact, indicated that both job design intervention (job control promotion) and SOC training should have a positive effect on work ability [
58]. Consequently, individual strategies of optimisation and compensation could be considered as psychological resources useful for supporting work ability [
59]. This data confirm that the occupational interventions based on SOC strategies might contribute to successful ageing at work, despite the fact that SOC interventions at work are scarce [
60]. However, job control seems to be the precondition for the application of optimisation and compensation strategies at work. As a result, job control should contribute to the effectiveness of SOC training [
39]. However, our research considered the four sub-dimensions of SOC separately, providing more specific information on the effectiveness of each dimension. Job support interventions should develop job control, foster optimisation, and increase compensation. Furthermore, our study involved administrative workers, who are not often considered in studies on work ability and the use of SOC strategies. In view of the very large number of older workers who perform administrative tasks in public offices, we believe that it is important to involve this population in studies on the sustainability of work.
The study had several limitations. First, it used a cross-sectional design, so these results were only a preliminary evaluation of the hypothesised cause-effect relations. There is evidence in the literature that led us to assume that SOC strategies impact work ability; however, it was also possible that workers with better work ability had more resources, and therefore, were better able to use SOC strategies. Second, the age effect may be limited due to differences between birth cohorts and it may not necessarily reflect the development of ageing [
39]. Third, potential healthy-worker effects could have biased our findings. The workers with impaired work ability might have retired earlier. Fourth, the study used exclusively self-reported data. Finally, we did not consider the firm size, which could influence the dimensions investigated. Empirical researchers consider firm size an important characteristic that can affect the results [
61].
To overcome these limitations, future studies should apply cross-lagged or longitudinal designs to test cause-effect relations clearly and use a multi-method design to overcome the limits of self-reported data. Moreover, future study should apply methods to address endogeneity bias (e.g., using the generalised method of moments, GMM) [
62].