10VulnerableWorkersEmployabilityCompetences.pdf

10VulnerableWorkersEmployabilityCompetences.pdf

Vol.:(0123456789)1 3

Journal of Business Ethics (2020) 166:627–641 https://doi.org/10.1007/s10551-019-04140-9

O R I G I N A L PA P E R

Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations, Developmental Inducements, and Social Organizational Goals

Mieke Audenaert2  · Beatrice Van der Heijden1,2,3,4,5 · Neil Conway6 · Saskia Crucke2 · Adelien Decramer2

Received: 2 May 2018 / Accepted: 28 February 2019 / Published online: 11 March 2019 © Springer Nature B.V. 2019

AbstractUsing an ethical approach to the study of employability, we question the mainstream approach to career self-direction. We focus on a specific category of employees that has been neglected in past research, namely vulnerable workers who have been unemployed for several years and who have faced multiple psychosocial problems. Building on the Ability-Motivation-Opportunity model, we examine how establishing clear expectations, developmental inducements, and social organizational goals can foster employability competences of vulnerable workers. Our study took place in the particularly relevant context of social enterprises, which have a primary goal to enhance the employability competences of vulnerable workers. Multi-level analysis of data from 38 CEOs of social enterprises, 121 leaders and 594 workers, demonstrated that establishing clear expectations and developmental inducements enable vulnerable workers to anticipate and optimize their employability com-petences. Furthermore, a positive association was found between establishing clear expectations and the balance dimension of employability, yet only in social enterprises that prioritize social organizational goals, suggesting the need to recognize the extent organizational goals shape opportunities for vulnerable workers. Establishing clear expectations and developmental inducements can therefore enhance vulnerable workers’ employability competences in supportive contexts; however, there may be detrimental side effects to drifting away from social organizational goals.

Keywords Employability competences · Vulnerable workers · AMO model · Establishing clear expectations · Developmental inducements · Social organizational goals

Vulnerable workers make part of the broad group of employed people often entering the workforce following long-term unemployment. Besides having a history of years of unemployment, vulnerable workers also typically have limited educational attainment and multiple interdependent psychosocial issues (Battilana et al. 2015), such as (a his-tory of) drug abuse, homelessness, debts, generation pov-erty, imprisonment, or mental and physical health problems. Because of their specific mix of life circumstances, these workers risk permanent exclusion from the labour market which makes them vulnerable. This exclusion is problem-atic. Vulnerable workers have a lower level of human capi-tal due to their low education attainment in their childhood and adolescent years, and have a shortage of training and

development in their adult years due to long-term unem-ployment. Participation in lifelong learning is marked by a Matthew effect: persons that already have a high level of human capital will increase their human capital even fur-ther through lifelong learning (Boeren 2009). This results in ‘a gap between persons with a high level of human capital and persons with a low level of human capital’ (Knipprath and De Rick 2015, p. 51). Moreover, economic inequality issues are often tied up in a vicious cycle of psychosocial issues of human capital, mental health, well-being, and poverty (Neckerman and Torche 2007). Thus, vulnerable workers’ human capital gap is linked to greater economic inequality, with its concomitant negative consequences for learning outcomes and well-being (Wilkinson and Pickett 2017). Learning outcomes and well-being are both essential for employability, namely the acquisition and fulfilment of employment and, if necessary, the creating of work (Van der Heijden 2000), which is in turn essential to labour mar-ket prospects (De Vos et al. 2011; Van der Heijden et al.

* Mieke Audenaert [email protected]

Extended author information available on the last page of the article

628 M. Audenaert et al.

1 3

2018). Hence, vulnerable workers are in a vicious cycle that undermines their future employability. Despite the evident social and economic need to better understand vulnerable workers’ employability, it is striking that there is hardly any research on this category of employees, who are unable to rely on themselves for fostering their employability (Bal and Dóci 2018).

Existing research on employability is linked to a discourse about employability ‘that emphasizes individual rather than societal or organizational responsibility’ (Roper et al. 2010, p. 673). As a consequence, employability research is charac-terized by a clear shortage on studies about vulnerable work-ers (Ashley and Empson 2013), and contextual determinants such as organizational practices that foster the employees’ career (De Vos and Cambré 2017). Organizational practices may be of particular relevance to foster the employability of vulnerable workers in social enterprises. These organiza-tions have the potential to address complex social issues by combining the resources of a traditional business model with a social mission (Ramus and Vaccaro 2017).

There are different kinds of social enterprises (Defourny and Nyssen 2016), among which this study considers Work Integration Social Enterprises (WISE; hereafter referred to as social enterprises). These social enterprises are particu-larly suitable to study the employability of vulnerable work-ers because the latter are employed as the core work staff in such enterprises, instead of employing staff that should be predominantly aimed towards competing in the mar-ket. This implies that the organizational practices in social enterprises can serve their social mission by fostering these vulnerable workers’ employability (Crucke and Knockaert 2016). Therefore, these organizations have ‘potential as key drivers of equitable and socially-inclusive economic growth’ (GECES 2016, p. 7). However, while striving for financial sustainability, social enterprises may find themselves in a situation of mission drift from social goals to economic goals, thereby threatening their commitment to the social goals (Pache and Santos 2013; Ramus and Vaccaro 2017).

This study aims to examine whether and how organiza-tional practices in social enterprises can enhance vulnerable workers’ employability. Building on the Ability-Motivation-Opportunity (AMO) model (Delery 1998), we investigate how establishing clear expectations, developmental induce-ments and social organizational goals can foster employ-ability competences of vulnerable workers by conducting a multilevel analysis of data from 38 CEOs of social enter-prises, 121 leaders and 594 workers.

We contribute to the literature in at least two ways. First, we extend the scope of employability research from high potentials (Inkson et al. 2012), and, more recently, disabled workers (Baldridge and Kulkarni 2017) and minorities (Wyatt and Silvester 2015), to also incorporate vulnerable workers, which is a currently understudied group. While disabled

workers and minorities face challenges, which are specific to their disability or social category, to find jobs and progress careers, vulnerable workers face multiple and intersecting psychosocial issues. Therefore, they are characterized by hav-ing lower employability competences, a larger distance to the labour market, and greater problems with finding and keeping employment. By studying vulnerable employees, we address the critique on the careers literature and wider discourse which privileges individuals relying on career self-direction (Inkson et al. 2012), and respond to calls for management scholars to engage in the inequality debate (Beal and Astakhova 2017). Organizations in general and social enterprises in particular can apply practices that ‘disrupt the vicious cycles in which economic inequality is embedded’ (Riaz 2015, p. 1090) by fostering their vulnerable workers’ employability. Second, AMO theory claims that employees’ (i) ability to perform, (ii) motivation to perform, and (iii) opportunities to perform foster favourable human capital and motivational outcomes. We aim to extend AMO theory by positing that opportunity-related organizational practices can affect the ethical approach to HR practices that aim to foster employees’ ability and moti-vation to perform. Our line of reasoning is built upon link-ing the AMO model to the ethical perspective on HRM and the recent debate on mission drift in social enterprises. More specifically, the interactive perspective of the AMO model (Delery 1998; Siemsen et al. 2008) is linked to the ethical perspective on HRM which fosters ‘an understanding of HRM as embedded into its socio-political context’ and which ‘is a moral activity (with potential to enhance quality of life)’ that can entail potential ‘divergent interests between employer and employee’ (Greenwood 2013, pp. 361, 359). In terms of these divergent interests, social organizational goals can be specifi-cally relevant to social enterprises as the mission drift from social to economic organizational goals may be detrimental to vulnerable workers’ interests (Doherty et al. 2014; Ebrahim et al. 2014), as a result of market mechanisms that can weaken social enterprises’ ethical decision-making (Chell et al. 2016). The paper contributes by studying how potential mission drift of opportunity-related organizational practices (here: social organizational goals) function as the context in which ability (here: clear expectations) and motivation (here: developmental inducements) are embedded. By studying the potential detri-mental effects of mission drift for vulnerable workers, we also add to recent debates on mission drift in social enterprises (Ramus and Vaccaro 2017).

629Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

Theoretical Framework and Hypotheses

The Ethics of Employability in Mainstream Labour Markets

In general, employability research is framed in HRM lit-erature that utilizes a ‘unitarist frame of reference’, and thus supports a ‘shareholder-centred view of managerial responsibility while avoiding the discomfort of believing that doing so requires managers to treat employees instru-mentally’. Obviously, this has ‘significant implications for the moral treatment of employees’ (Greenwood and Van Buren 2017, p. 675). Accordingly, research on employabil-ity carries implicit understandings of the individual work-er’s responsibility to find and keep a job in the mainstream labour market. These implicit understandings downplay the responsibility of organizations to enhance workers’ employability (Bal and Dóci 2018). Accordingly, today’s dominant employment relationship entails less invest-ments in employees than before (Audenaert et al. 2018). Employees are treated as free agents in the employment relationship, which is referred to as boundaryless careers (Arthur and Rousseau 1996). However, risk is shifted from employers to employees. This makes maintenance of employability obligations ‘a minimal ethical requirement of organizations seeking to use the boundary career model as an employment practice’ (Van Buren 2003, p. 136). In contrast with this dominant discourse, there is a neces-sity to study employability as an ethical responsibility of employers to employees as well. Employers also have a responsibility in maintaining their workers’ employability in the external labour market. When employers do not take this responsibility, this is likely to be ‘harmful for workers whose skills are fungible’ (Van Buren 2003, p. 134).

Employability Competences of Vulnerable Workers

While previous studies have often focused on occupa-tional expertise and personal flexibility (e.g. De Cuyper et al. 2008; De Vos et al. 2011), we focused on two other employability competences.

First, in todays’ turbulent work environment, employees need to ‘take it upon themselves to acquire new skills and knowledge (build their human capital)’ (Smith 2010, p. 288). Therefore, we focused on the extent to which vul-nerable workers can anticipate and optimize their com-petences. Anticipating and optimizing competences is defined as ‘preparing for future work changes in a personal and creative manner in order to strive for the best possible job and career outcomes’ (Van der Heijde and Van der Heijden 2006, p. 454), and has proven to be crucial for

obtaining beneficial results in different work environments (see Van der Heijde and Van der Heijden 2006; Van der Heijden et al. 2009b). Anticipating and optimizing com-petences are an important aspect of vulnerable workers’ employability because being up-to-date in domain-specific knowledge and skills is inevitable to keeping one’s job or, if necessary, finding a new job (Sanders and De Grip 2004). However, due to multiple years of unemployment and a low socioeconomic standing in society, vulnerable workers have a significant deficit in their anticipating and optimizing competences (Battilana and Lee 2014).

Second, success in one’s career is not only restricted to developing domain-specific competences, but also ‘a result of the balance between cognition and emotion’ (Van der Hei-jde and Van der Heijden 2006, p. 452). We focused on the extent to which vulnerable workers gain balance in different and often opposing interests. Gaining balance is defined as ‘compromising between opposing employers’ interests as well as one’s own opposing work, career, and private inter-ests (employee) and between employers’ and employees’ interests (Van der Heijde and Van der Heijden 2006, pp. 455–456). The emphasis on potential divergent interests, using an ethical perspective, makes it particularly relevant to study gaining balance as an outcome variable, because gaining balance pertains to divergent interests between the employer and the employee (i.e. economic versus career interests) (Van der Heijde and Van der Heijden 2006). This may explain why less research interest has been devoted to gaining balance in the mainstream HRM perspective which assumes overlapping interests between both parties (i.e. employer and employee). Two divergent interests pertain-ing to gaining balance are particularly salient for vulnerable workers. First, the vulnerable worker’s current activities in the economic interests of the social enterprise may com-pete with their future career interests. In order to achieve the economic goals, social enterprises may structure work pro-cesses in small parts in order to make the tasks achievable for vulnerable workers which is crucial at the start of their employment. Some social enterprises may be tempted to keep structuring work in small parts because, as the worker becomes more experienced, it fosters the speed of their per-formance, which is in the economic interests of the social enterprise. Under these circumstances, vulnerable workers can function in the protected realm of the social enterprise, but are not working towards their future career interests. A second salient balance issue for vulnerable workers per-tains to their own interest in striking a balance between their private life and their working life. Many vulnerable work-ers face multiple psychosocial problems due to a history of long-term unemployment, which are not erased upon finding a job (Drake and Bond 2008). Whereas for many employees it is their work life that interferes with their private life, for vulnerable workers it is often the other way around: their

630 M. Audenaert et al.

1 3

psychosocially demanding private life interferes with their potential to find and maintain a job.

AMO Model and Employability Competences

Running against the grain of an ethical approach to HRM (Wiley 2000) which would assume a more plural-ist approach, earlier scholarly work on the AMO model is mainly grounded in a mainstream, utilitarian perspective of HRM (Greenwood 2013). AMO theory claims that organi-zational practices and management activities can enhance employees’ human capital and motivation in order to achieve favourable organizational outcomes by enhancing employ-ees’ (i) ability to perform, (ii) motivation to perform, and (iii) opportunities to perform (Appelbaum 2000). HRM prac-tices can be clustered to support employee abilities, motiva-tion, and opportunities to perform, which affect employee outcomes such as job performance. In turn, these employee outcomes affect the organization’s performance. The ability dimension has a stronger relationship with human capital, while the other two dimensions have a stronger relationship with motivation (Jiang et al. 2012).

The AMO model is usually (but not always) theorized starting from HRM practices such as selection, development, and performance management (Ehrnrooth and Björkman 2012). In accordance with the need to situate our model in the specific context of our study (Johns 2006), we select AMO variables that are specifically relevant for vulnerable workers, and argue that the management activities of estab-lishing clear expectations and developmental inducements enable and motivate vulnerable workers to enhance their employability competences, particularly in opportune con-texts where social enterprises focus on social organizational goals (see Fig. 1). Even though social enterprises have social goals that map onto the employees’ interests in accordance with a pluralist approach (Greenwood and Van Buren 2017), the duality of social organizational goals besides economic goals potentially generates mission drift for social enter-prises (Ramus and Vaccaro 2017).

Consistent with the interactive perspective of the AMO model (Delery 1998; Siemsen et  al. 2008), we approach employability from a novel multilevel perspective where (1) social organizational goals represent the context that is supportive of vulnerable workers’ opportunities which are

Fig. 1 Model of how social enterprises can foster vulner-able workers’ employability competences

Social enterprise’s context

Establish clear

Expectations

(Ability)Balance

Anticipate and optimize

competences

Developmental

inducements

(Motivation)

Focu

s on

soc

ial

orga

niza

tiona

l goa

ls

(Opp

ortunity)

Leader’s HRM practices

Vulnerableemployee’s

employability competences

631Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

formulated at the organizational level, (2) managerial and organizational practices that affect motivation and ability are overseen by team leaders, and (3) employees report affec-tive states.

We examine the management activities of establishing clear expectations and offering developmental inducements as enhancing vulnerable workers’ motivation and ability to perform employability competences, and social organi-zational goals as a context supporting vulnerable workers’ opportunities. We chose these particular activities because they fit the social enterprise context while also capturing the essence of the AMO model. First, the management activity of establishing clear expectations relates to organizational practices such as employee performance management and job analysis in order to structure work into feasible parts, and lead to employee outcomes of motivation and enhanced efficacy (i.e. ability). Second, the practice of developmental inducements relates to coaching, training, and career devel-opment, which enables and motivates vulnerable workers to face their (future) work challenges. A meta-analysis of the AMO model supports our approach of viewing management activities (such as establishing clear expectations and devel-opmental inducements) as affecting multiple components of this model (e.g. motivation and ability), and where such activities are supported by multiple organizational practices (e.g. performance management) (Jiang et al. 2012).

Anticipating and Optimizing Competences

In current labour markets, employees have to enact their job and careers, owing to the increasing complexity of work and the difficulty to predict future work content (Van der Heijde and Van der Heijden 2006; Van der Heijden and De Vos 2015). Both proactivity, reflected in anticipating com-petences needed in the (near) future, and active adaptation, reflected in optimizing one’s competences, conceptually underpin the construct of employability (Van der Heijde and Van der Heijden 2006; Fugate et al. 2004), and are required for meeting prospective labour market demands and protect-ing one’s sustainable employability.

According to the AMO model, some organizational practices can foster employees’ ability and motivation to engage in certain behaviours (Appelbaum 2000). We expect that leaders in social enterprises can enable and motivate vulnerable workers to anticipate and optimize their competences by establishing clear expectations which encompass explicitly set, detailed, and clear work goals (Merchant 1985). Whereas such work goals work against the grain of most job design theory recommenda-tions that encourage high levels of job autonomy (Parker et al. 2001), vulnerable employees are likely to welcome such explicitly set and detailed work goals. Under self-determination theory (Deci and Ryan 2000), vulnerable

workers—having experienced multiple failures in the past—are likely to have frustrated competence needs. When work goals are detailed and explicitly set, vulner-able workers that face a skill gap for the regular labour market can be enabled to meet expectations. Their work goals provide vulnerable workers with small success expe-riences which help them fulfil basic competence needs.

Research supports that clear expectations are specifi-cally crucial for vulnerable workers’ employability out-comes (e.g. Feather 1992; Vansteenkiste et al. 2005). In particular, clear expectations are crucial for this category of workers in order to build their self-efficacy (Vansteen-kiste et al. 2005), linked to their basic need to experience competence (Deci and Ryan 2000). The AMO model, which draws on expectancy theory (Vroom 1964), pre-dicts that vulnerable workers will anticipate and optimize their competences more intensively when their leader fos-ters clear expectations. Consistent with self-determination theory and expectancy theory, clear expectations about required behaviour support employee motivation to engage in the behaviour, assuming that the goal is set at an obtain-able level. Establishing clear expectations assists vulner-able workers in becoming fully aware about what is needed to fulfil certain in-role task performances, increasing their ability and motivation to perform, and enabling them to successfully anticipate and optimize the required behav-iour and competences.

Hypothesis 1a Establishing clear expectations is positively related to vulnerable workers’ anticipation and optimization of competences.

Developmental inducements entail a supporting and rewarding approach (Jia et al. 2014). By stressing the impor-tance of self-development and skill utilization through offer-ing developmental inducements, organizations stimulate and reward competency development that can enable and motivate employees to behave proactively and to engage in future developmental behaviours (Caesens and Stinglhamber 2014). As such, developmental inducements foster employ-ees to anticipate and optimize their competences, adding to their employability (De Vos et al. 2011; Sanders and De Grip 2004; Van der Heijden et al. 2009a; Veld et al. 2015). Furthermore, empirical findings support that competency development foster the employability of low-skilled employ-ees (Sanders and De Grip 2004) and welfare clients (Deckop et al. 2006), and confirm a significant association between formal job-related learning and anticipating and optimizing competences (Van der Heijden et al. 2009a).

Hypothesis 1b Developmental inducements are positively related to vulnerable workers’ anticipation and optimization of competences.

632 M. Audenaert et al.

1 3

The Moderating Role of Social Organizational Goals

Some organizations offer employees more opportunities in the work environment to exercise discretionary effort (Appelbaum 2000). These opportunities provide the nec-essary support that enables action (Blumberg and Pringle 1982; Boxall and Purcell 2003; Delery and Roumpi 2017). Building on the interactive perspective of the AMO model (Delery 1998; Siemsen et al. 2008), we expect that social organizational goals provide opportunities for vulnerable workers to foster employability competences from clear expectations and developmental inducements. Establishing clear expectations and developmental inducements will be more opportune for vulnerable workers’ employability com-petences when social enterprises emphasize social organi-zational goals.

Social enterprises are ‘hybrid organizations’ (Doherty et al. 2014) and although they are set up to realize the social goal of the professional and social integration of vulnerable people, they operate in a commercial context. As a conse-quence, they also have to fulfil the expectations of customers and investors. Because of this dual mission, social enter-prises face trade-offs when allocating resources to social activities, such as counselling, versus commercial activi-ties (Battilana et al. 2015). Although social enterprises are organizations that ‘primarily pursue a social mission while also engaging in commercial activities to sustain their operations through sales of products and/or services’ (Bat-tilana et al. 2015, p. 1658), social value creation may be compromised for capturing economic value (Ebrahim et al. 2014). Social enterprises are prone to mission drift where market performance goals ‘threaten their commitment to the accomplishment of their social mission’ (Ramus and Vaccaro 2017, p. 308). In that case employing vulnerable workers will be less linked to normative values, that ben-efiting society by employing these people and developing their employability is the right thing to do, yet, rather more to instrumental values, that the social aims are used as an instrument to bolster organizational success (Walker et al. 2017). Rather than leading to mutual gains, lower emphasis on social organizational goals may generate outcomes that are appropriate from a unitarist perspective, but not from a normative, pluralistic perspective of HRM (Greenwood and Van Buren 2017).

When social enterprises place lower emphasis on social organizational goals, establishing clear expectations and developmental inducements do not provide the same oppor-tunities to employees to engage in discretionary efforts to anticipate and optimize their competences. We therefore hypothesize:

Hypothesis 2 A focus on social organizational goals moder-ates the relationship between establishing clear expectations

(2a) and development inducements (2b), and vulnerable workers’ anticipation and optimization of competences, such that this relationship is stronger when there is a higher focus on social organizational goals.

As mentioned earlier, gaining balance pertains to one’s own divergent interests (i.e. work–life balance) and the divergent interests between the employer and the employee (i.e. economic versus career interests). In other words, it is about feeling more control over (possibly conflicting) demands in one’s work life and protecting one’s work–life balance (Van der Heijde and Van der Heijden 2006).

In the context of a lower emphasis on social organiza-tional goals, establishing clear expectations and develop-mental inducements will have a lesser effect on employees achieving balance in their work and family life. Even where expectations are clear, employees will be pressured to per-form more and to reach higher (i.e. less achievable) goals. In this context, developmental inducements may be demo-tivating rather than motivating because the emphasis is on high performance from vulnerable workers rather than com-petence development, and so employee development is less valued or overly geared towards performance imperatives. A main focus on short-term profit maximization and work intensification has indeed been found to hinder employee well-being (Kroon et al. 2009; Van de Voorde et al. 2012). Accordingly, this may threaten one’s opportunities to find balance. We thus hypothesize:

Hypothesis 2 Social organizational goals moderate the rela-tionship between establishing clear expectations (2c) and developmental inducements (2d), and vulnerable workers’ balance, such that this relationship is stronger when there is a higher focus on social organizational goals.

Method

Research Setting in Flanders

The recruitment procedure, as imposed and controlled by the Flemish government, requires that candidates for vulnerable worker positions must meet the following conditions: having low education attainment (no high-school degree), having more than 5 years of uninterrupted unemployment, and fac-ing psychosocial limitations and difficulties. Work integra-tion social enterprises in Flanders are private, risk-taking organizations that are supported by government subsidies, and are operating within highly competitive markets, such as packaging, assembling, gardening, and recycling (Crucke and Knockaert 2016). As an ultimate goal, the Flemish gov-ernment wants vulnerable workers to be integrated into the mainstream labour market (De Cuyper et al. 2015).

633Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

Although social enterprises are by definition focused primarily on social goals, this main focus is challenged by the need to remain competitive in the market as well. This is particularly the case for the studied social enterprises in Flanders in which there is a particular risk of mission drift due to recent institutional changes. We refer to the Flemish decree of 2013 on social enterprises. The sector of social enterprises is recently subjected to new laws that require them to channel vulnerable workers to the private job mar-ket. In addition, whereas there used to be a fixed subsidy for this category of workers, now the social enterprises get a subsidy linked to the individual’s degree of employabil-ity in the labour market. This situation puts these social enterprises in a less secure financial situation and thus may threaten their commitment to social goals.

Vulnerable workers have to be coached towards employ-ment outside the social enterprise. However, government statistics suggest that this is a nearly impossible endeav-our for many social enterprises as they have a very low share of people that transfer to the regular labour market (Departement Werk en Sociale Economie 2015). In 2012, 5.4 percent (283) of the in total 5270 vulnerable workers from social workshops (a specific type of work integration social enterprises that we study in this paper) transferred to the regular labour market. Only 22.5 percent of these were still employed after one year, which was the lowest success rate compared to other types of social enterprises (Jacobs and Lambert 2014).

Sample and Procedures

As mentioned, this study incorporates participants in social workshops in Flanders that provide employment to the most vulnerable workers in the labour market. These employees are characterized by low levels of literacy and anxiety issues. In 2015, we approached the entire sector of social workshops in Flanders, and out of a total of 94 enterprises with 4731 vulnerable workers (Departement Werk en Sociale Econ-omie 2015), 38 social workshops agreed to participate in our multi-source study. By collecting data from three levels (CEOs, leaders, workers), we followed recommendations to combat common-method bias (Podsakoff et al. 2012). We distributed closed envelopes which were coded so that we could link data from the three sources.

First, we asked the 38 CEOs of participating enter-prises to complete a questionnaire about organizational goals. The social workshops were on average 20.3  years old (SD = 13.0) and employed on average 82.3 vulnerable workers (SD = 62.4).

Second, 121 leaders (per organization: mean = 3.35; SD = 2.14) completed a questionnaire capturing informa-tion about the enacted organizational practices. The lead-ers were on average 42.4  years old (SD = 9.9), and had

been employed by the organization for an average period of 6.1 years (SD = 5.4). Males represented 67.9% of the final sample. In addition, leaders were asked to assess four of their employees in terms of anticipation and optimi-zation competences. This assessment led to data for 446 employees. The organizational practices pertained to how the group of vulnerable workers are managed in the social workshop, while the items for anticipation and optimiza-tion of competences pertained to four specific individual vulnerable workers in the team of the leader. The ques-tions on individual workers were in separate sections in the survey.

Finally, we collected data from 594 vulnerable workers (per organization: mean = 16.42; SD = 10.13) themselves on their felt balance. The interviewer was available in the same room when participants completed the questionnaire, if necessary, to clarify items. When clarifying, the items were read aloud very slowly without changing the exact wordings, or the order of the wordings, in order to safeguard construct validity (Boynton et al. 2004). Demographic questions were kept to a minimum and were included at the end of the ques-tionnaire because they may be threatening to this specific group of employees (Boynton et al. 2004). We did not ask for the number of years of unemployment, because we knew from conversations with multiple stakeholders involved with social workshops that many vulnerable workers felt ashamed about their unemployment. We strived to ask as little as pos-sible from these respondents, and explicitly warranted ano-nymity, as they had very low levels of education, literacy, and are not used to ‘dealing with paper’. The vulnerable workers were on average 46.0 years old (SD = 10.7) and had been employed by the organization for an average period of 5.5 years (SD = 5.0). Males represented 70.6% of the final sample.

We chose different raters for the two employability com-petences because, first, we wanted to ask the most appropri-ate source based on the contents of the items, and second, we acknowledged the constraints in surveying vulnerable workers (see above). We therefore requested the leader to complete the anticipation and optimization of competences measure. The leader was an appropriate source to measure the extent to which four of their team members anticipate and optimize their competences. As leaders in social work-shops work together closely with their employees in the production/service process, they are well placed for hav-ing information on the observable competence of anticipa-tion and optimization. The involved questions command an understanding of the wider labour market which cannot be expected from vulnerable workers. On the other hand, since balance pertains to the experienced harmony of working, learning, and living, and is highly subjective, we consid-ered the vulnerable workers themselves to be best placed to respond.

634 M. Audenaert et al.

1 3

Measures

All measures in this study were derived from previous research. For all items, the translation-back translation methodology was carefully followed (Van de Vijver and Hambleton 1996). Unless mentioned otherwise, the items were scored on five-point scales, anchored on 1 for ‘strongly disagree’ and 5 for ‘strongly agree’.

Establishing Clear Expectations

We used three items from Merchant (1985) and asked lead-ers to indicate the extent to which the following statements were applicable to their vulnerable workers: ‘Employee expectations are specified in detail’, ‘The specific work rules and/or policy are used a lot’, and ‘Desired results are explicitly defined’.

Developmental Inducements

We used three items from Jia et al. (2014): ‘Train employees on knowledge and skills for their jobs and career develop-ment’, ‘Care about employees’ satisfaction at work’, and ‘Value employees’ suggestions on work’. Leaders were asked to indicate the extent to which these statements were appli-cable across their vulnerable workers.

Focus on Social Organizational Goals

This was assessed with a forced trade-off measure based on Autio et al. (2000). CEOs were asked to allocate 100 points across five goals to indicate how important these goals are for the organization. The five goals were (1) maximizing profitability, (2) maximizing sales growth, (3) maximizing social value, (4) maximizing value of the firm for eventual acquisition, and (5) maximizing stability and longevity of the organization. By having to allocate points across five goals, raters are forced to make a trade-off which lowers socially desirable responses where everything is rated as important and, as such, variance is restricted (Autio et al. 2000). The points allocated for maximizing social value were used in calculating ‘focus on social organizational goals’.

Anticipation and Optimization of Competences

We used four items from Van der Heijde and Van der Hei-jden (2006) that reflect vulnerable workers’ anticipation and optimization of competences. Each item was scored on a 5-point scale, anchored on 1 for ‘Never’ and 5 for ‘Always’. The items were as follows: ‘Takes responsibility for main-taining labour market value’, ‘Approaches the development of correcting his/her weaknesses in a systematic manner’, ‘Is focused on continuously developing him/herself’, and

‘During the past year, he/she was actively engaged in inves-tigating adjacent job areas to see where success could be achieved’.

Balance

We used four items from Van der Heijde and Van der Hei-jden (2006) that reflect vulnerable workers’ balance. The items were as follows: ‘My working, learning, and living are in harmony’, ‘My work efforts are in proportion to what I get back in return’, ‘The time I spend on my work and career development on the one hand and my personal devel-opment and relaxation on the other are evenly balanced’, and ‘After working, I am generally able to relax’. The selection of items was based on an interpretative approach building on the familiarity of three of the co-authors with vulnerable workers in social enterprises. One of the co-authors worked for two years as a trainer-consultant for vulnerable workers and their leaders in an employer organization for these social enterprises. In addition, two of the co-authors conducted a large study of the broader sector of social enterprises, and as such have developed a good insight into this segment of the labour market.

Control Variables

At the organizational level, we controlled for age, organi-zational size, and net added value of the organization. It could be argued that better performing enterprises have more resources to invest in vulnerable workers’ employability. Net added value per employee was measured using data from the public annual accounting database Belfirst (amounts in EUR*1000). At the leader level, we controlled for span of control and leader’s team tenure, as these may affect the attention leaders can devote to vulnerable workers’ employ-ability. At the individual level, we controlled for employee age as it has been associated with employability ratings in previous research (e.g. Van der Heijden et al. 2009b), and for job tenure because employability is not static across one’s career (Sanders and De Grip 2004).

Results

Measurement Analyses

We conducted a confirmatory factor analysis (CFA) to test whether the observed items factored under their intended constructs. As we have three datasets, we had to run the analyses separately for the measures in each of the datasets. Next to the χ2/df statistic, which is commonly reported in CFA research, we report the Standardized Root Mean Square (SRMR), the Root Mean Square Error of Approximation

635Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

(RMSEA), the Comparative Fit Index (CFI), and the Tucker-Lewis Index (TLI). To examine convergent validity, we assessed the statistical significance and the size of the factor loadings, using a criterion that standardized loadings should be 0.5 or higher. Finally, we studied the composite reliabil-ity (CR) of each measure to evaluate the reliability of the measures, considering values of 0.6 or higher as acceptable (Hair et al. 2017).

Leader sample 1

We performed a CFA on a two-factor model consisting of establishing clear expectations and developmental induce-ments. The two-factor model fit the data well: χ2/df = 1.66; SRMR = 0.05; RMSEA = 0.07; CFI = 0.98, and TLI = 0.96. All factor loadings were statistically significant and had val-ues exceeding 0.5. In addition, we ran a one-factor model with all items loading on a single factor: χ2/df = 9.32; SRMR = 0.11; RMSEA = 0.24; CFI = 0.71, and TLI = 0.52. The two-factor model fit the data better than the one-factor model, indicating discriminant validity of the two constructs (Hair et al. 2010). Establishing clear expectations and devel-opment inducements both have a CR of 0.78, indicating good reliability.

Leader Sample 2

The construct ‘anticipation and optimization of compe-tences’ was subjected to CFA. The results indicate a good fit: χ2/df = 2.75; SRMR = 0.03; RMSEA = 0.08; CFI = 0.98, and TLI = 0.93. All factor loadings are statistically signifi-cant and have values exceeding 0.5. The value of the CR is 0.67 exceeding the threshold of 0.6.

Employee Sample

We conducted CFA on a one-factor model consisting of the four items to measure balance. The results demonstrate a good fit: χ2/df = 2.51; SRMR = 0.02; RMSEA = 0.05; CFI = 0.99, and TLI = 0.97. All factor loadings are statisti-cally significant and have values of 0.5 or higher. Construct’s CR is 0.65 and exceeds the threshold of 0.6.

Preliminary analyses

The means, standard deviations, and correlations are shown in Table 1.

Hypotheses Testing

Considering the nested nature of our data where workers were nested within leaders and organizations, Hierarchical Linear Modelling (in HLM7) was used to test the hypoth-esized multilevel relationships. Estimates were conducted with full maximum likelihood and grand-mean centred variables (Hox 2010). We reported deviance ‘which indi-cates how well the model fits the data. In general, models with a lower deviance fit better than models with a higher deviance’ (Hox 2010, p. 16). All measures were standard-ized before conducting the HLM analysis, because differ-ent scales were utilized. Tables 2 and 3 present the HLM results.

We began with an intercept-only model, without including any predictors. The between-team errors for both dimensions of employability (i.e. anticipation and optimization, and balance) showed significant variance (p < 0.05). Therefore, we could proceed to examine a mul-tilevel model. As shown in Tables 2 and 3, we included the control variables in the first model. Model 1 in Table 2

Table 1 Descriptives and correlations

*p < 0.05, **p < 0.01, ***p < 0.001

Level Variable Mean (SD) Correlation

1 2 3 4

Level 1: employee Age 45.97 (10.66) –Job tenure 5.48 (5.03) 0.36*** –Balance 3.47 (0.80) 0.03 0.21 [α = 0.65]Anticipation and optimization 3.13 (0.80) – – – [α = 0.67]

Level 2: leader Span of control 12.29 (9.58) –Leader’s team tenure 5.36 (4.66) 0.13 –Establishing clear expectations 3.26 (0.62) 0.08 0.00 [α = 0.77]Developmental inducements 4.17 (0.53) 0.19* 0.12 0.40** [α = 0.78]

Level 3: organization Age organization 20.33 (13.02) –Net added value per employee 35.87 (28.42) − 0.04 –Focus on social organizational goals 43.67 (15.41) − 0.20 − 0.09 –

636 M. Audenaert et al.

1 3

shows that net added value per employee was positively related (β = 0.09, p < 0.001) to anticipation and optimiza-tion. Model 1 in Table 3 shows that the net added value

per employees was positively related (β = 0.05, p < 0.01) to balance, while leader’s team tenure was negatively related (β = − 0.11, p < 0.05) to balance.

Table 2 Results of multilevel modelling analysis for anticipation and optimization of competences

N = 446 (individual level), 112 (team level), 38 (organizational level). Values in parentheses are standard errors. Standardized values were used. *p < 0.05, **p < 0.01, ***p < 0.001

Model 1 (model with controls)

Model 2 (direct cross-level effects)

Model 3 (cross-level modera-tion)

Employee level Intercept 0.03 (0.08) 0.02 (0.07) 0.01 (0.07)

Leader level Span of control − 0.10 (0.13) − 0.11 (0.12) − 0.10 (0.12) Leader’s team tenure − 0.02 (0.05) − 0.01 (0.05) − 0.01 (0.06) Establishing clear expectations 0.18*** (0.05) 0.20*** (0.06) Developmental inducements 0.16* (0.07) 0.18** (0.06)

Organizational level Net added value per employee 0.09*** (0.03) 0.02 (0.03) 0.02 (0.03) Age 0.08 (0.07) − 0.01 (0.08) 0.01 (0.07) Focus on social organizational goals − 0.07 (0.05) − 0.10 (0.06)

Cross-level moderation Establishing clear expectations × focus

on social organizational goals0.06 (0.06)

 Developmental inducements × focus on social organizational goals

0.03 (0.04)

 Deviance 1113 1098 1096

Table 3 Results of multilevel modelling analysis for balance

N = 594 (individual level), 121 (team level), 38 (organizational level). Values in parentheses are standard errors. Standardized values were used. *p < 0.05, **p < 0.01

Model 1 (model with controls)

Model 2 (direct cross-level effects)

Model 3 (cross-level modera-tion)

Employee level Intercept 0.02 (0.05) 0.02 (0.05) 0.02 (0.05) Age 0.08 (0.05) 0.08 (0.05) 0.08 (0.05)

Leader level Span of control 0.17 (0.09) 0.17 (0.09) 0.18 (0.09) Leader’s team tenure − 0.11* (0.05) − 0.11* (0.05) − 0.12* (0.05) Establishing clear expectations 0.01 (0.04) 0.01 (0.04) Developmental inducements 0.06 (0.04) 0.08 (0.05)

Organizational level Net added value per employee 0.05** (0.01) 0.03 (0.02) 0.03 (0.02) Age − 0.10 (0.07) − 0.10 (0.07) − 0.10 (0.07) Focus on social organizational goals 0.04 (0.05) 0.03 (0.05)

Cross-level moderation Establishing clear expectations × focus

on social organizational goals0.09** (0.03)

 Developmental inducements × focus on social organizational goals

− 0.05 (0.04)

 Deviance 1501 1499 1496

637Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

Model 2 of Table 2 shows that establishing clear expecta-tions was positively associated with anticipation and opti-mization (β = 0.18, p < 0.001), which supports Hypothesis 1a. Moreover, in line with Hypothesis 1b, developmental inducements was positively associated with anticipation and optimization (β = 0.16, p < 0.05). The results indicate that the effect of establishing clear expectations on anticipation and optimization is similar in size to the effect of develop-mental inducements. A visual inspection of the QQ plot of the residuals (Hox 2010) in combination with formal statisti-cal tests of normality (Cohen et al. 2013) suggested that the assumption of normality was met.

Model 3 of Table 2 shows that neither support was found for the cross-level moderation of a focus on social goals on the relationship between establishing clear expectations and anticipation and optimization (i.e. Hypothesis 2a), nor for the cross-level moderation of a focus on social goals on the relationship between developmental inducements and anticipation and optimization (i.e. Hypothesis 2b).

However, Model 3 of Table  3 shows support for the cross-level moderation as stated in Hypothesis 2c. A focus on social organizational goals was found to moderate the relationship between establishing clear expectations and balance (β = 0.09, p < 0.01). Since homoscedasticity may result in spurious cross-level interactions, we tested for the absence of homoscedasticity. Conducing the Levene’s test using Model 2 (1429, p > 0.05) provides support for homoscedasticity of the residual errors of establishing clear expectations; namely the variance of the residual errors is the same in all groups. Also, a visual inspection of the QQ plot of the residuals (Hox 2010) in combination with formal statistical tests of normality (Cohen et al. 2013) suggested that the assumption of normality was met. Figure 2 plots the moderation effect (Dawson 2014). For organizations with higher social organizational goals (i.e. + 1 SD above the

mean), the relationship between establishing clear expecta-tions and balance is positive. For organizations with lower social organizational goals (i.e. − 1 SD below the mean), the relationship between establishing clear expectations and balance is negative. For organizations with a mean value of social organizational goals, the slope of establishing clear expectations–balance is flat. Finally, no support was found for the cross-level moderation of a focus on social organi-zational goals on the relationship between developmental inducements and balance (i.e. Hypothesis 2d).

Discussion

This study aims to examine whether and how organizational practices in social enterprises can enhance employability competences. We found that social enterprises that estab-lish clear expectations and developmental inducements can foster vulnerable workers to anticipate and optimize their employability competences. However, and crucially, social enterprises’ focus on social organizational goals interacts with the extent to which leaders can foster vulnerable work-ers’ balance by establishing clear expectations to such an extent that it determines whether the impact of clear expecta-tions on balance is positive or negative.

Theoretical Implications

Our first contribution pertains to developing a better understanding of the employability of vulnerable work-ers. Employability debates have mainly focussed on privi-leged workers rather than on vulnerable ones (Ashley and Empson 2013). In recent years, employability research has been extended from managerial, professional, and techni-cal employees (Inkson et al. 2012), to disabled employees

Fig. 2 Plot of the Multilevel moderation of focus on social organizational goals in the rela-tionship between establishing clear expectations and balance

638 M. Audenaert et al.

1 3

(Baldridge and Kulkarni 2017), and minorities (Wyatt and Silvester 2015). We add to this extension by focusing on vul-nerable workers on the labour market. Although developing, maintaining, and even enhancing one’s employability is to a large extent regarded as the employee’s own responsibil-ity (Clarke 2008; Roper et al. 2010), all of this is unlikely to be reachable for vulnerable workers who are currently employed in a WISE that ultimately aims to channel them to the mainstream labour market (Battilana and Lee 2014). In contrast with the responsibility of career self-direction, and in support of the argument that also organizational fac-tors can affect employability (Forrier et al. 2009; De Vos and Cambré 2016), our outcomes suggest the need for rec-ognizing factors beyond the control of vulnerable workers themselves. Specifically, establishing clear expectations and developmental inducements contribute to vulnerable work-ers anticipating and optimizing their competences. Vulner-able workers thus address the problem of their relatively low human capital linked to the Matthew effect (Boeren 2009; Knipprath and De Rick 2015), which is a result of negative learning experiences in the educational system (Wilkinson and Pickett 2017). As such, our research supports the rel-evance of employers and leaders for taking responsibility to support vulnerable workers, in line with the ethical approach to HRM that underscores the role of organizational practices and management activities in the broader socio-political context (Greenwood 2013), and indicates ways for manag-ers and organizations to disrupt the vicious cycles of eco-nomic inequality (Riaz 2015). Achieving more balance may allow vulnerable workers to better address the problem of the vicious cycle of low well-being and psychological health that is associated with their economic inequality (Wilkinson and Pickett 2017).

Our second contribution pertains to showing the rel-evance of the AMO model of HRM from an ethical per-spective. This study further extends the scarce research that has studied the AMO model from an ethical perspective (Guerci et al. 2015) by finding support for social organiza-tional goals as a moderator. For social enterprises that drift away from social organizational goals, a negative association was found between establishing clear expectations and the balance dimension of employability. This stands in sharp contrast with social enterprises that prioritize social organi-zational goals for which a positive association was found between establishing clear expectations and the balance dimension of employability. Hence, our findings extend the AMO model with an ethical perspective on HRM supporting the view that divergent interests between the employer and the employee (i.e. the tension between pursuing economic versus social organizational goals) can potentially affect employees’ quality of life (Greenwood 2013), by drifting away from social organizational goals and in doing so under-mine the extent HRM practices can benefit career interests

of vulnerable workers. This supports the idea that mission drift away from social organizational goals is detrimental to vulnerable workers interests’ (Doherty et al. 2014; Ebrahim et al. 2014) because it weakens social enterprises’ ethical decision-making (Chell et al. 2016). When social enterprises are exposed to institutional and economic pressures their attention may drift away from social organizational goals. As a consequence, establishing clear expectations may lead to work intensification in which vulnerable workers get less time to balance their work lives and their private lives or get less opportunities to balance their contribution to organi-zational economic goals versus their personal career goals. Indeed, when employers do not take their ethical responsibil-ity in fostering employability, this is likely to harm vulner-able workers (Van Buren 2003).

Limitations and Future Research

We studied employability by asking vulnerable workers to assess balance while the leaders were asked to assess the extent to which their employees’ anticipate and optimize their competences. Although the latter approach is assumed to be more accurate than using presumably more lenient self-ratings (Thornton 1980; see also; Van der Heijde and Van der Heijden 2006; Van der Heijden 2000), and may have prevented common-method bias (Podsakoff et al. 2012), the use of two different raters for the employability competences may raise concerns that the findings are affected by meas-urement issues. However, in support for the validity of our measurements, we found a significant link of net added value (from external public accounting data) with both anticipa-tion and optimization of competences (measured from the leader) and balance (measured from the employee). Further-more, future research could extend to other employability competences when studying vulnerable workers.

Managerial Implications

Employability is regarded as a crucial employee behaviour and individual employee responsibility in order to thrive in the labour market. Our study has two main implications for organizations that strive to make vulnerable workers more employable. First, it is the ethical responsibility of leaders to go against forces for a mainstream approach to HRM and to foster vulnerable worker’s employability. Leaders play a crucial role in addressing vulnerable worker’s self-efficacy beliefs by establishing clear expectations, and providing developmental inducements. Therefore, organizations should support leaders of vulnerable workers in their role. Second, this paper indicates that managers of (social) enterprises should strive for social organizational goals which provide vulnerable workers with the opportunity to advance their felt balance from organizational practices. A major insight is that

639Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

vulnerable workers are receptive to organizational practices aimed at increasing their employability; however, in some organizations there is a concern that their well-being may be negatively affected in contexts where social organizational goals are low, which undermines the point of the intervention.

Compliance with Ethical Standards

Conflict of interest The authors declare that they have no conflict of interest.

Ethical Approval All procedures performed in studies involving human participants were in accordance with the ethical standards of the insti-tutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Human and Animal Rights This article does not contain any studies with animals performed by any of the authors.

Informed Consent Informed consent was obtained from all individual participants included in the study.

References

Appelbaum, E. (2000. Manufacturing advantage: Why high-perfor-mance work systems pay off. Ithaca, IL: Cornell University Press.

Arthur, M. B., & Rousseau, D. M. (1996). Boundaryless careers: A new employment principle for the new organizational era. New York: Oxford University Press.

Ashley, L., & Empson, L. (2013). Differentiation and discrimination: Understanding social class and social exclusion in leading law firms. Human Relations, 66(2), 219–244.

Audenaert, M., George, B., & Decramer, A. (2018). How a demanding employment relationship relates to affective commitment in public organizations: A multilevel analysis. Public Administration. https ://doi.org/10.1111/padm.12378 .

Autio, E., Sapienza, H. J., & Almeida, J. G. (2000). Effects of age at entry, knowledge intensity, and imitability on international growth. Academy of Management Journal, 43(5), 909–924.

Bal, P. M., & Dóci, E. (2018). Neoliberal ideology in work and organi-zational psychology. European Journal of Work and Organiza-tional Psychology, 27(5), 536–548.

Baldridge, D. C., & Kulkarni, M. (2017). The shaping of sustainable careers post hearing loss: Toward greater understanding of adult onset disability, disability identity, and career transitions. Human Relations, 70(10), 1217–1236.

Battilana, J., & Lee, M. (2014). Advancing research on hybrid organ-izing–Insights from the study of social enterprises. The Academy of Management Annals, 8(1), 397–441.

Battilana, J., Sengul, M., Pache, A.-C., & Model, J. (2015). Harness-ing productive tensions in hybrid organizations: The case of work integration social enterprises. Academy of Management Journal, 58(6), 1658–1685.

Beal, B. D., & Astakhova, M. (2017). Management and income ine-quality: A review and conceptual framework. Journal of Business Ethics, 142(1), 1–23.

Blumberg, M., & Pringle, C. D. (1982). The missing opportunity in organizational research: Some implications for a theory of work performance. Academy of Management Review, 7(4), 560–569.

Boeren, E. (2009). Lifelong learning participation: The Matthew principle. Filosofija Sociologija, 20, 154–161.

Boxall, P., & Purcell, J. (2003). Strategy and Human Resource Man-agement. New York: Palgrave Macmillan.

Boynton, P. M., Wood, G. W., & Greenhalgh, T. (2004). Hands-on guide to questionnaire research: Reaching beyond the white middle classes. Bmj, 328(7453), 1433–1436.

Caesens, G., & Stinglhamber, F. (2014). The relationship between perceived organizational support and work engagement: The role of self-efficacy and its outcomes. Revue Européenne de Psychologie Appliquée/European Review of Applied Psychol-ogy, 64(5), 259–267.

Chell, E., Spence, L. J., Perrini, F., & Harris, J. D. (2016). Social entrepreneurship and business ethics: Does social equal ethical? Journal of Business Ethics, 133(4), 619–625.

Clarke, M. (2008). Understanding and managing employability in changing career contexts. Journal of European Industrial Train-ing, 32(4), 258–284.

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied Multiple Regression/Correlation Analysis for the Behavioral Science. New York: Routledge.

Crucke, S., & Knockaert, M. (2016). When stakeholder representa-tion leads to faultlines. A study of board service performance in social enterprises. Journal of Management Studies, 53(5), 768–793.

Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19.

De Cuyper, N., Bernhard-Oettel, C., Berntson, E., et  al. (2008). Employability and employees’ well-being, Mediation by job inse-curity. Applied Psychology, 57(3), 488–509.

De Cuyper, P., Jacobs, L., & Gijselinckx, C. (2015). More than work integration strategy for the delimitation of a population of social economy actors for a monitor of the social economy in Flanders. Annals of Public and Cooperative Economics, 86(2), 267–290.

De Vos, A., & Cambré, B. (2017). Career management in high-per-forming organizations: A set-theoretic approach. Human Resource Management, 56(3), 501–518.

De Vos, A., De Hauw, S., & Van der Heijden, B. I. J. M. (2011). Com-petency development and career success: The mediating role of employability. Journal of Vocational Behavior, 79(2), 438–447.

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.

Deckop, J. R., Konrad, A. M., Perlmutter, F. D., & Freely, J. L. (2006). The effect of human resource management practices on the job retention of former welfare clients. Human Resource Manage-ment, 45(4), 539–559.

Defourny, J., & Nyssens, M. (2016). Fundamentals for an international typology of social enterprise models, the international compara-tive social enterprise models (ICSEM) Project, ICSEM Working Papers, p. 33.

Delery, J. E. (1998). Issues of fit in strategic human resource manage-ment: Implications for research. Human Resource Management Review, 8(3), 289.

Delery, J. E., & Roumpi, D. (2017). Strategic human resource manage-ment, human capital and competitive advantage: Is the field going in circles? Human Resource Management Journal, 27(1), 1–21.

Departement Werk en Sociale Economie (2015). Sociale Werkplaatsen. Unpublished publication.

Doherty, B., Haugh, H., & Lyon, F. (2014). Social enterprises as hybrid organizations: A review and research agenda. International Jour-nal of Management Reviews, 16(4), 417–436.

Drake, R. E., & Bond, G. R. (2008). The future of supported employ-ment for people with severe mental illness. Psychiatric Rehabilita-tion Journal, 31(4), 367.

640 M. Audenaert et al.

1 3

Ebrahim, A., Battilana, J., & Mair, J. (2014). The governance of social enterprises: Mission drift and accountability challenges in hybrid organizations. Research in Organizational Behavior, 34, 81–100.

Ehrnrooth, M., & Björkman, I. (2012). An integrative HRM process theorization: Beyond signalling effects and mutual gains. Journal of Management Studies, 49(6), 1109–1135.

Feather, N. T. (1992). Expectancy-value theory and unemployment effects. Journal of Occupational and Organizational Psychology, 65(4), 315–330.

Forrier, A., Sels, L., & Stynen, D. (2009). Career mobility at the inter-section between agent and structure: A conceptual model. Journal of Occupational and Organizational Psychology, 82(4), 739–759.

Fugate, M., Kinicki, A. J., & Ashforth, B. E. (2004). Employability: A psycho-social construct, its dimensions, and applications. Journal of Vocational Behavior, 65(1), 14–38.

GECES (2016) Social enterprises and the social economy going for-ward. A call for action from the Commission Expert Group on Social Entrepreneurship. Retrieved on 25 April 2017 from http://ec.europ a.eu/growt h/tools -datab ases/newsr oom/cf/itemd etail .cfm?item_id=9024.

Greenwood, M. (2013). Ethical analyses of HRM: A review and research agenda. Journal of Business Ethics, 114(2), 355–366.

Greenwood, M., & Van Buren, H. J. (2017). Ideology in HRM scholar-ship: Interrogating the ideological performativity of ‘New Unita-rism’. Journal of Business Ethics, 142(4), 663–678.

Guerci, M., Radaelli, G., Siletti, E., Cirella, S., & Shani, A. R. (2015). The impact of human resource management practices and corpo-rate sustainability on organizational ethical climates: An employee perspective. Journal of Business Ethics, 126(2), 325–342.

Hair, J. F., Anderson, R. E., Babin, J. B., & Black, W. C. (2010). Multi-variate data analysis: A global perspective (Vol. 7). Upper Saddle River: Pearson.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on partial least squares structural equation modeling (PLS-SEM). 2nd Edition. Thousand Oaks: Sage.

Hox, J. (2010). Multilevel analysis: Techniques and applications. Lon-don: Routledge.

Inkson, K., Gunz, H., Ganesh, S., & Roper, J. (2012). Boundaryless careers: Bringing back boundaries. Organization Studies, 33(3), 323–340.

Jacobs, L., & Lamberts, M. (2014). Naar Duurzame Tewerkstelling van Doelgroepwerknemers uit de Sociale Economie in de Reguliere Economie (To Sustainable Employment of Target Employees from Social Economy to Mainstream Economy). Leuven: Steunpunt Werk en Sociale Economie.

Jia, L., Shaw, J., Tsui, A., & Park, T.-Y. (2014). A social-structural per-spective on employee-organization relationships and team creativ-ity. Academy of Management Journal, 57(3), 869–891.

Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Man-agement Journal, 55(6), 1264–1129.

Johns, G. (2006). The essential impact of context on organizational behavior. Academy of Management Review, 31(2), 386–408.

Knipprath, H., & De Rick, K. (2015). How social and human capi-tal predict participation in lifelong learning: A longitudinal data analysis. Adult Education Quarterly, 65(1), 50–66.

Kroon, B., Van de Voorde, K., & Van Veldhoven, M. (2009). Cross-level effects of high-performance work practices on burnout: Two counteracting mediating mechanisms compared. Personnel Review, 38(5), 509–525.

Merchant, K. A. (1985). Control in Business Organizations. Cambridge (Mass.): Ballinger.

Neckerman, K. M., & Torche, F. (2007). Inequality: Causes and conse-quences. Annual Review of Sociology, 33, 335–357.

Pache, A. C., & Santos, F. (2013). Inside the hybrid organization: Selective coupling as a response to competing institutional log-ics. Academy of Management Journal, 56(4), 972–1001.

Parker, S. K., Wall, T. D., & Cordery, J. L. (2001). Future work design research and practice: Towards an elaborated model of work design. Journal of Occupational and Organizational Psychol-ogy, 74(4), 413–440.

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.

Ramus, T., & Vaccaro, A. (2017). Stakeholders matter: How social enterprises address mission drift. Journal of Business Ethics, 143(2), 307–322.

Riaz, S. (2015). Bringing inequality back in: The economic inequal-ity footprint of management and organizational practices. Human Relations, 68(7), 1085–1097.

Roper, J., Ganesh, S., & Inkson, K. (2010). Neoliberalism and knowl-edge interests in boundaryless careers discourse. Work, Employ-ment and Society, 24(4), 661–679.

Sanders, J., & De Grip, A. (2004). Training, task flexibility and the employability of low-skilled workers. International Journal of Manpower, 25(1), 73–89.

Siemsen, E., Roth, A. V., & Balasubramanian, S. (2008). How moti-vation, opportunity, and ability drive knowledge sharing: The constraining factor model. Journal of Operations Management, 26, 426–445.

Smith, V. (2010). Review article: Enhancing employability: Human, cultural, and social capital in an era of turbulent unpredictability. Human Relations, 63(2), 279–300.

Thornton, G. (1980). Psychometric properties of self-appraisal of job performance. Personnel Psychology, 33, 262–271.

Van Buren, H. J. (2003). Boundaryless careers and employability obli-gations. Business Ethics Quarterly, 13(2), 131–149.

Van de Vijver, F., & Hambleton, R. K. (1996). Translating tests. Euro-pean Psychologist, 1(2), 89–99.

Van De Voorde, K., Paauwe, J., & Van Veldhoven, M. (2012). Employee well-being and the HRM–organizational performance relationship: A review of quantitative studies. International Jour-nal of Management Reviews, 14(4), 391–407.

Van der Heijde, C. M., & Van der Heijden, B. I. J. M. (2006). A competence-based and multidimensional operationalization and measurement of employability. Human Resource Management, 45(3), 449–476.

Van der Heijden, B. I. J. M. (2000). The development and psychomet-ric evaluation of a multi-dimensional measurement instrument of professional expertise. High Ability Studies The Journal of the European Council for High Ability, 11(1), 9–39.

Van der Heijden, B. I. J. M., Boon, J., Van der Klink, M., & Meijs, E. (2009a). Employability enhancement through formal and infor-mal learning: An empirical study among Dutch non-academic university staff members. International Journal of Training and Development, 13(1), 19–37.

Van der Heijden, B. I. J. M., De Lange, A. H., Demerouti, E., & Van der Heijde, C. M. (2009b). Age effects on the employability–career success relationship. Journal of Vocational Behavior, 74(2), 156–164.

Van der Heijden, B. I. J. M., & De Vos, A. (2015). Sustainable careers: Introductory chapter. In A. De Vos & B. I. J. M. Van der Heijden (Eds.), Handbook of research on sustainable careers (pp. 1–19). Cheltenham: Edward Elgar Publishing.

Van der Heijden, B. I. J. M., Notelaers, G., Peters, P., Stoffers, J. M., De Lange, A. H., Froehlich, D. E., & Van der Heijde, C. M. (2018). Development and validation of the short-form employability five-factor instrument. Journal of Vocational Behavior, 106, 236–248.

Vansteenkiste, V., Lens, W., Witte, H., & Feather, N. (2005). Understanding unemployed people’s job search behaviour,

641Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations,…

1 3

unemployment experience and well-being: A comparison of expectancy-value theory and self-determination theory. British Journal of Social Psychology, 44(2), 269–287.

Veld, M., Semeijn, J., & Van Vuuren, T. (2015). Enhancing perceived employability: An interactionist perspective on responsibilities of organizations and employees. Personnel Review, 44(6), 866–882.

Vroom, V. (1964). Expectancy theory. New York: Wiley.Walker, M., Hills, S., & Heere, B. (2017). Evaluating a socially respon-

sible employment program: Beneficiary impacts and stakeholder perceptions. Journal of Business Ethics, 143(1), 53–70.

Wiley, C. (2000). Ethical standards for human resource management professionals: A comparative analysis of five major codes. Journal of Business Ethics, 25(2), 93–114.

Wilkinson, R. G., & Pickett, K. E. (2017). The enemy between us: The psychological and social costs of inequality. European Journal of Social Psychology, 47(1), 11–24.

Wyatt, M., & Silvester, J. (2015). Reflections on the labyrinth: Inves-tigating black and minority ethnic leaders’ career experiences. Human Relations, 68(8), 1243–1269.

Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Affiliations

Mieke Audenaert2  · Beatrice Van der Heijden1,2,3,4,5 · Neil Conway6 · Saskia Crucke2 · Adelien Decramer2

Beatrice Van der Heijden [email protected]

Neil Conway [email protected]

Saskia Crucke [email protected]

Adelien Decramer [email protected]

1 Institute for Management Research, Radboud University, Nijmegen, The Netherlands

2 Department of Marketing, Innovation and Organisation, Ghent University, Ghent, Belgium

3 Open University of The Netherlands, Heerlen, The Netherlands

4 University of Kingston, London, UK5 Hubei University, Wuhan, China6 School of Management, Royal Holloway, University

of London, London, UK

Journal of Business Ethics is a copyright of Springer, 2020. All Rights Reserved.

  • Vulnerable Workers’ Employability Competences: The Role of Establishing Clear Expectations, Developmental Inducements, and Social Organizational Goals
    • Abstract
    • Theoretical Framework and Hypotheses
      • The Ethics of Employability in Mainstream Labour Markets
      • Employability Competences of Vulnerable Workers
      • AMO Model and Employability Competences
      • Anticipating and Optimizing Competences
      • The Moderating Role of Social Organizational Goals
    • Method
      • Research Setting in Flanders
      • Sample and Procedures
      • Measures
        • Establishing Clear Expectations
        • Developmental Inducements
        • Focus on Social Organizational Goals
        • Anticipation and Optimization of Competences
        • Balance
        • Control Variables
    • Results
      • Measurement Analyses
      • Leader sample 1
      • Leader Sample 2
      • Employee Sample
      • Preliminary analyses
      • Hypotheses Testing
    • Discussion
      • Theoretical Implications
      • Limitations and Future Research
      • Managerial Implications
    • References