Abstract
The digital transformation leads to changing work contexts and new work objects that give rise to the necessity of collaboration across occupational boundaries. Yet there is a lack of theoretical models of cross-occupational collaboration, particularly with regard to individuals’ cross-occupational collaboration competency (COCC). In order to close this research gap, this article presents a theoretical model of COCC and associated indicators which can be subject to education and diagnostics in VET. In accordance with activity theory, cross-occupational collaboration is characterized as an activity system. While an activity is collective in nature, its role-constituting elements (e.g., division of labor) point to role-theoretical approaches. This paper reviews role-theoretical frameworks and applies structural symbolic interactionism as a framework for modeling an individual’s COCC. Using its conceptual apparatus, a hierarchical model of an individual’s capacity for cross-occupational collaboration within an activity system is developed. Its elements are (i) knowledge about one’s own occupational role, (ii) knowledge about the roles of the cooperation partners with other occupations, (iii) latent role distance, (iv) role-taking, and (v) object-oriented role coordination/role-making. This model can also be used as a basis for assessments that may lead to empirical investigations of how to promote individuals’ COCC.
Similar content being viewed by others
Introduction
The digital transformation has led to fundamental changes in economic, political, and social aspects of societal life (Harteis, 2018; Kim, 2019; The Onlife Initiative, 2015; Wallin, 2020). While the accompanying effects on work predominantly take place in industrial-technical and clerical occupational practices directly addressed by the fourth industrial revolution, digital technology increasingly transforms previously less affected occupational fields such as personal services (see Brynjolfsson & McAfee, 2014; Wittmann & Weyland, 2020). In other words, a growing number of employees are encountering the complexities associated with disruptive and revolutionary technological modernization. Interdisciplinary and cross-occupational collaboration, such as collaboration between technical and social (e.g., Bennis et al., 2007; Tardieu et al., 2020) or technical and business occupations (e.g. Camarinha-Matos et al., 2019; Shibuya, 2020), is becoming increasingly relevant due to both the non-technical fields into which digital technology is increasingly being implemented and enhanced business integration enabled by networked digital infrastructures and real-time data processing.
In the field of vocational education and training (VET), there is particular interest across occupational fields in adequately preparing the workforce for the requirements of a digitalized labor force (see Douse & Uys, 2019; Wilson, 2019; Windelband, 2019; see also World Economic Forum, 2020). Accordingly, more and more scholars (e.g., Edwards & Fenwick, 2016; Guile & Unwin, 2019; Wittmann & Weyland, 2020) consider the capability of individuals to collaborate across occupational boundaries, which we will call cross-occupational collaboration competency (COCC), to be a relevant prerequisite for workplace performance and professional success (see also Guile & Lahiff, 2017; Kira, 2010). This specifically concerns collaboration among individuals with varying vocational and professional backgrounds, comprised in the German notion of Beruf (Winch, 2010), which we have in mind when conducting our research.
Supporting COCC in vocational and professional education in vocational schools requires rendering the individuals’ COCC accessible to diagnostics and intervention, that is, instruction (see Abele et al., 2021; Blömeke et al., 2015; Pellegrino, 2012); however, this involves analytical and theoretical modeling of individual COCC (see Messick, 1994; 1995; Mislevy et al., 2003; Mislevy et al., 1999; Wilson, 2005). Since we are not aware of any theoretically elaborated model of this kind, the aim of this article is to provide a model of an individual’s COCC which takes its collective nature into account and provides for related diagnostic indicators of performance.
For this purpose, we use a role-theoretical approach but also draw on conceptual ideas from activity theory. First, we outline digitalization-related changes to work leading to cross-occupational collaboration requirements across occupational fields and subsequently analyze them through the lens of activity theory as a means of clarifying the notion of cross-occupational collaboration. Second, we develop a role-theoretical model of COCC on the basis of structural symbolic interactionism. This two-step approach allows us, while rejecting an understanding of COCC as independent of occupation and subject, to conceptualize COCC as different from subject-matter competence (see Seeber & Wittmann, 2017). Therefore, we lay the groundwork by emphasizing the role-constituting aspects explicitly contained in activity theory, such as division of labor. We select structural symbolic interactionism as our basis for modeling COCC to address both institutionalized norms of occupational practices and vocational and professional agency. This approach also allows us to mark the potential for assessing COCC. Finally, we shed light on future research efforts by discussing the implications and limitations of our model.
Cross-Occupational Collaboration as a Crucial Form of Work in the Context of the Digital Transformation
Within the social sciences, the digital transformation is understood as a transformative process that permeates the individual, organizational, and societal spheres (e.g., Helbig et al., 2021; Wittmann and Weyland, 2020). As a result, historically evolved socio-cultural—including occupational and professional—practices are undergoing fundamental changes, requiring substantial adjustments to our perceptual background, actions (Wittmann & Neuweg, 2021), and value-based assumptions (see Billett, 2008). These changes to work contexts are centrally attributable to the networking of digital technologies among one another as well as with physical environments and real-time data processing (Wittmann & Weyland, 2020). Related examples are network-based communication between RFIDFootnote 1 chips and centralized systems, such as ERPFootnote 2 systems, or within cyber-physical systems (see Wittmann & Weyland, 2020). While we recognize that these changes are to a certain extent context-bound, our argument rests on the assumption that the digital transformation carries common features across occupational fields—and that, as a consequence, cross-occupational collaboration will become a significant form of occupational practice. In our view, three examples of factors driving cross-occupational collaboration are (i) increasing implementation of networked digital technology, including data extraction and analysis, in social fields such as education or care work, (ii) data driven, “personalized” satisfaction of the demands of recipients, including customers, clients, patients, and citizens, and (iii) business process orientation as an organizational response to rapid changes in organizational environments.
The integration of different occupational perspectives has become an issue in the field of industrial production, but increasingly also in previously less affected social fields of action (Wittmann & Weyland, 2020). Here, cross-occupational collaboration is a relevant means of ensuring that digital technologies are implemented in ways that support workers and clients in line with vocational and professional values and free of interruptions. This would be the case, for instance, in the implementation of smart home technology in care facilities, for which collaboration between technicians, care workers, and home economists might be relevant (Wittmann & Weyland, 2020).
This is particularly the case where data gathering and analysis allows for personalized, that is, data-driven, attribution of recipients’ demands, often based on statistical categories and, increasingly, artificial intelligence, as well as data-driven fulfillment of these ascribed demands, which involves fields like industrial products (Piller, 2004) and services (Wirth & Sweet, 2019; Xu et al., 2018), but also personalized medicine (Hoeyer, 2019; Wittmann & Weyland, 2020). While personalization may be used to improve quality, lower costs, and shorten delivery times or improve their flexibility, it also requires both value-based judgements from professionals in the field, specifically with regard to their appropriateness regarding recipients’ needs, and technological judgement as to the possibilities and requirements of its technological implementation. However, this presupposes the corresponding implementation and development of contextually appropriate networked digital infrastructures.
Moreover, cross-occupational collaboration is also gaining relevance because networked digital infrastructures enable—and the personalized satisfaction of recipients’ demands requires—new forms of work and interfaces between occupational groups, and hence organization. For instance, Fischer and Pöhler (2018) state that a key potential of digital technology lies in vertically integrating “units” within an organization and horizontally integrating systems and services along value chains. Indeed, Bodrožić and Adler (2018) showed that the emergence of digital technology leads to a paradigmatic shift in organizations where value-added processes are linked across internal and external organizational boundaries on the basis of concepts of business process orientation (Reijers, 2003; Schirmer, 2020; Willaert et al., 2007), enabling the expertise of different actors to be profitably used to meet recipients’ demands (see also Engeström, 2007). This is where cross-occupational collaboration becomes relevant (Wittmann & Weyland, 2020), for example in the placement of sensors or RFID chips that communicate with ERP systems where actors from technical occupations work together with representatives of business occupations so that the data processed in real time results in the effective control of production processes (see Hämäläinen et al., 2018; Vähäsantanen & Eteläpelto, 2018). These transformational aspects show that the intensified emergence of cross-occupational collaboration is already anticipated in many accounts concerned with the impact of digital transformation on work. The emergence of cross-occupational collaboration seems to be mainly rooted in the historical increase of complex work demands, whose evaluation and mastery require or benefit from the integration of varying occupational perspectives.
From an educational point of view, however, this argument is limited as it implies that occupations function exclusively as concepts representing the organizational division of labor—that is, as social artefacts including practices and norms that have evolved historically on the basis of social consensus and are for the most part institutionalized (Klotz et al., 2014; Marx, 1909). In this sense, the subject appears as the performer of a specific form of work that corresponds to the functional requirements of the division of labor; he or she is the bearer of an occupational role (see Billett, 2011; Hansen, 1994; Weber, 2019/1922). The German notion of Beruf we use transcends this meaning:
The term Beruf signifies ‘occupation’ but in a broader sense which is more equivalent to the English term ‘vocation’, which signifies an ethical calling but also as a term that signifies the social identity of the person practising the Beruf. (Winch, 2010, p. 72)
Hence, occupations within the meaning of Beruf, and likewise professions such as nursing,Footnote 3 have both an individual and a social as well as societal component (see Zabeck, 2013); its constituents are personal agency and socially derived occupational practices (see Billett, 2019; Chan, 2019). Beyond proficiency, the concept also focuses on the individual’s aspirations and interests. This notion of occupation makes it apparent that the aforementioned narrative surrounding cross-occupational collaboration disregards its potential in enabling individuals to actively shape and consolidate their occupational role and associated values (Billett, 2006). Hence, we understand cross-occupational collaboration not only as a means of generating solutions in a transformational context that leads to competitive advantages but as an opportunity to proactively initiate changes regarding values related to occupational roles. Indeed, the digital transformation is historically significant among other things because its economic drivers (Avis, 2021) challenge the understanding of the occupational role itself (see Beer & Mulder, 2020).
Consider the following example: From a historical perspective, the profession of home economics (Dewhurst & Pendergast, 2008; Stage, 1997) has an ambiguous role: (i) care for the clients’ needs and autonomy and (ii) domestic care, including the striving to move as efficiently as possible (see Cassedy, 2020; Elias, 2008; McGregor et al., 2008). In the context of digital transformation, the latter aspect is addressed by the implementation of smart home systems. They allow home economists to increasingly control household appliances, such as turning on and off the stove remotely. However, the home economists may then have to justify more strongly why on-site domestic support and employment offers are made. What the work of the home economists will ultimately look like in the course of the digital transformation depends not only on the economic drivers but also on the home economists’ understanding of their occupational role.
The example illustrates that occupational practice—even if some parts of it are not substituted—is nevertheless affected by the digital transformation and that learning and role expectations do not automatically result from the implementation and use of digital technologies (Beer & Mulder, 2020). Beer and Mulder (2020, p. 16) conclude that employees “need to take more responsibility with regard to their own development and professional work identity” (see also Scholkmann, 2021). This may be accomplished through cross-occupational collaboration. Indeed, Guile and Unwin (2020) recently argued that cross-occupational work contexts, with their specific socio-material and relational encounters, foster the development of expertise as a “capacity for action.” Moreover, cross-occupational work enables individuals to maintain a sense of self or personal identity by allowing them to recognize the worth and responsibility of their occupational role in comparison to other occupational groups involved in a particular activity (see Bakker & Akkerman, 2019; Billett, 2011; Edwards, 2007).
Conceptualizing Cross-Occupational Collaboration
The Activity System
As already outlined, we expect that the digital transformation will increasingly change all areas of occupational practice. Conversely, there is a need for sufficient possibilities to theoretically depict such comprehensive contextual changes. One such approach can be found in the core of the Helsinki school of cultural-historical activity theory (CHAT; Sannino & Engeström, 2018, p. 44). The central unit of analysis in CHAT is the activity, which can be characterized as a relatively durable collective system (i.e., activity system; Engeström, 2019, p. xvi).
As shown in Fig. 1, an activity system generally consists of the following interconnected elements: subject, instrument, object, division of labor, community, and rules (see Engeström, 2019). Subject refers to the individual or subgroup involved in the activity from whose point of view the analysis is carried out. The “raw material,” the “problem space,” or the individual focused on by the activity is called the object. It objectifies the motive that gives meaning and significance to the activity. That is, the motivation of acting subjects lies in transforming the object at hand from a raw state into an outcome (Engeström & Sannino, 2010; Leont’ev, 1978). In line with Vygotsky’s (1978; 1997) idea of a mediated act, the subject(s) use(s) instruments, that is, crystallized experience of the activity system with the object. Accordingly, instruments are mediating artefacts. Notably, this includes technological tools, but also other means, such as language and signs. The influence on the object mediated by instruments is organized according to the historically evolved division of labor. It refers to the distribution of responsibilities, roles, and hierarchies within an activity system. All actors involved in the activity are referred to as a community; hence, they share the same object. Finally, rules refer to explicit and implicit regulations, norms, conventions, and standards that constrain actions within the activity system (Engeström, 2019; Engeström & Sannino, 2021).
With regard to cross-occupational collaboration, it is necessary to address the instrumental and communicative aspects of activity systems (see Engeström, 2019). The former refer to the subject–object relation. According to Leontyev (1981), motive-oriented activity is the most comprehensive instrumental stage of an activity system. On account of the division of labor, an activity is broken down into actions, each with specific goals. In the words of Engeström (2000), actions are “successive, momentary instantiations of a wider and more stable system of collective activity” (p. 961). Actions, in turn, include operations linked to the conditions for achieving the goal (Engeström, 2019; Leont’ev, 1978). Since the conditional context is contained in the activity system, it is fundamentally collective; only actions and operations are individual.
In contrast to the instrumental levels of activity, action, and operation, the communicative aspect of an activity system refers to the modes of the subject–subject relation (Engeström, 2019). Here, Engeström and colleagues (1991; 1997) distinguish coordination, cooperation, and reflective communication, referring to the concept of scripts (see also Engeström, 1992). The notion of script entails role-constituting components such as explicit rules and implicit traditions within a community based on the division of labor. If the script is transferred to individual actions in conformity with expectations and without reflecting the script or the common object, the subjects act at the level of coordination. In the cooperation mode, by contrast, the participants explicitly address the shared object (e.g., problem) in order to find a mutually acceptable way to transform it into an outcome (e.g., solution). For this purpose, the actors deviate from the script briefly, but the script itself is not questioned. That is, however, the case at the level of reflective communication. Here, the interaction partners reflect and reconceptualize both the common object and the script.
Cross-Occupational Collaboration as an Activity System
Beyond these theoretical elements, it should further be noted that CHAT provides some terms for grasping the phenomenon of people with various occupational backgrounds working together, such as the concept “knotworking,” which Engeström (2004, p. 153) defines as “tying, untying and retying together otherwise separate threads of activity.” Engeström (2004) states that due to their lack of temporal stability, knots cannot represent an activity system but should be understood as subjects of an activity system he labels “collaborative and transformative expertise” (p. 145). It is “to be taken as a historical working hypothesis. One would be hard put to point out a functioning example of mature collaborative and transformative expertise. The story of this type of expertise is only beginning” (Engeström, 2004, p. 163). In the context of the digital transformation, this also applies to what we call cross-occupational collaboration; however, cross-occupational collaboration differs from collaborative and transformative expertise in that it focuses on the shaping and re-forming of occupational or professional roles. Hence, our understanding of cross-occupational collaboration is close to that of interprofessional collaboration as applied in the social and health care sector, the difference being that it includes but goes beyond collaboration within the social and health care sector (e.g., Karam et al., 2018; Leathard, 2003). Furthermore, in contrast to knotworking, we argue that digital transformation increasingly requires stable formations individuals from different occupations or professions engage in to cultivate collaboration actively on the basis of a sufficient understanding of the values and objectives of their own occupational role.
In Table 1, we integrate our line of thought into a model of cross-occupational collaboration as an activity system in the context of the digital transformation that can be addressed in VET and the related diagnostics.
In the previous section, we argued that cross-occupational collaboration responds not only to emerging objects, the trajectory of which requires or benefits from different occupational perspectives (e.g., the implementation and development of digital infrastructures), but also to the digitalization-induced irritation of the division of labor. Hence, the partially unclear or unconsented responsibilities also become an object of cross-occupational collaboration. In this sense, we understand cross-occupational collaboration as the effort of workers from different occupations, who may have different vocational and professional goals and rules, to maintain their common work on the shared object by negotiating and consolidating their responsibilities on the basis of their role conceptions (see Engeström, 2008; Konkola et al., 2007). Therefore, cross-occupational collaboration as we understand it tends to take place at the levels of cooperation or reflective communication (Engeström et al., 1997), meaning that it appears in situations requiring deviations from the script and possibly reflection. In terms of vocational and professional competence, it adds a meta-level, or at least fractures, to day-to-day professional action. It can be noted that it is therefore quite likely also a source for learning and identity building.
Hence, the outcome of cross-occupational collaboration may be twofold, including the satisfaction of recipients’ needs on the one hand and the (re-)formation and consolidation of the actors’ situational roles and subsequently their vocational and professional roles on the other. Since the common object cannot be purposefully transformed into the intended outcome by a single occupation, the subjects of cross-occupational collaboration are specific formations of individuals with different occupations and/or professions, depending on the state of the shared object. The community of cross-occupational collaboration is therefore fed by workers with different occupational backgrounds. Due to the interconnection of the elements within an activity system, changes in the area of rules are also conceivable, for example regarding the consideration of data protection.
So what are the instruments in such an activity system? While digital technologies are conceivable as tools for cross-occupational collaboration, such as the electronic patient record containing information about the patient as a shared object of physicians, nurses, and other health professionals (see Engeström & Sannino, 2010; for another example, see Paavola & Miettinen, 2019), we consider spoken and written language as the central instrument, since it is “typical, continuously available” (Engeström, 2019, p. 185). But to actually realize the mediating function of language in the context of cross-occupational collaboration, its use requires a corresponding capability of individuals—that is, COCC—which is characterized by its “object-orientation” (Engeström, 2005, p. 320).
Accordingly, the activity-theoretical perspective we have chosen indicates which object-oriented capability is relevant for individuals acting in such an activity system (see Miettinen, 2005). However, since the primary unit of analysis in CHAT is not the individual but the activity system, which is collective in nature (Billett, 2011; Davies, 2013; Young, 2001), the challenge is to conceptualize an individual’s COCC on the basis of the understanding of cross-occupational collaboration. One reason why we consider role-theoretical approaches to be adequate for modeling COCC is that they can be used to conceptually address the social and division-of-labor nature of cross-occupational collaboration as an activity system: Since we aim for workers and employees who do not simply subject themselves to imposed occupational roles—that is, merely coordinate—we seek to create a model of COCC with an underlying framework that corresponds inter alia to the concept of Beruf as defined above.
Conceptualizing COCC
Models represent applications of theories to a specific phenomenon. According to Wartofsky (1979), “models are embodiments of purpose and, at the same time, instruments for carrying out such purposes” (p. 142). As loose sets of premises and constructs, frameworks open up a specific perspective on the phenomenon of interest, serving as a potential basis for one or more theories in which the constructs of the framework are linked to propositions in order to enable explanations and/or predictions of empirically ascertainable phenomena (see Anderson, 1983; Stryker, 1981). We continue on the basis of this distinction by briefly outlining three role-theoretical frameworks to select a suitable framework for theorizing and modeling COCC. The framework should comply with the following criteria: It should (i) correspond to the German concept of Beruf and therefore the value-based change of roles and (ii) contain implications that allow for diagnosing and, as a consequence, facilitating COCC within educational systems.
Structural Symbolic Interactionism as a Framework for Modeling COCC
The common feature of role-theoretical frameworks is that they connect the individual with society by understanding a (social) role as a set of norms or socially consensual expectations directed at individual action in a particular societal position (see Allen & van de Vliert, 1984; Stryker, 2001). Role performance or role behavior should be distinguished from the normatively charged concept of role as an “ideal folk conception” (Turner, 2001) of position-bound behavior: It concerns the actual action in a certain position (Goffman, 1972; Turner, 1956). However, its conceptualization and theoretical point of reference differ depending on the underlying framework. In this regard, two dualistic approaches are often considered (see Stryker, 2001; Turner, 2001): (i) structural functionalism and (ii) symbolic interactionism.
The former derives its theoretical assumptions from the concept of society, which Talcott Parsons (1951), a well-known representative of structural functionalism, characterizes as a set of functional units. He considers role-playing—acting in conformity with expectations (see also Parsons et al., 1951; Blumer, 1986)—to be a suitable means of stabilizing and reproducing a society’s order. By contrast, symbolic interactionism emphasizes social interaction between individuals or groups of individuals. This framework originates from George H. Mead’s reflections on the emergence of the individual self (Blumer, 1986). To Mead, constituents of self are stabilized behavioral expectations and symbols with sufficient intersubjective comprehensibility that enable the individual to understand and adjust his or her action in the context of collaborative activity. However, the interpretation of expectations relevant to action is situational or case-specific (Mead, 1934; 1936a; see also Gecas, 1982). Blumer (1986) concludes on the basis of this situational emergence that social behavior can only be observed naturalistically and understood post hoc. Accordingly, any attempt to predict lines of social interaction through theoretical considerations based on already existing concepts is pointless (see Stets & Serpe, 2013; Stryker & Vryan 2006). Consequently, if we were to subscribe to symbolic interactionism in this processual form, modeling an individual’s COCC would be a waste of time from the outset (Serpe & Stryker, 2011). Yet structural functionalism also seems unsuitable for our modeling of COCC, because the one-sided emphasis of this framework on socially derived practices does not correspond to the German notion of Beruf. One framework that meets the criteria selected is the social-structural version of symbolic interactionism, called structural symbolic interactionism (e.g., Stryker, 1980).
Structural symbolic interactionism is based on the postulate of sufficient continuity of social life (see Serpe et al., 2020; Stryker & Serpe, 1982). Under this assumption, theoretical concepts can be useful for explaining social behavior even across different situations (see Kuhn, 1964; Kuhn & McPortland, 1954; Stets & Serpe, 2013). According to Serpe and Stryker (2011), not only should the definitions of the actor in a micro-process be considered but also the characteristics of social structures influencing them, such as societal roles, including the occupational roles that are implied in the Beruf or the profession. This means that the symbolic-interactionist dialectic of individual and society should be paid respect (Mead, 1934; 1936b; see also Dewey, 1916). However, the latter is the meta-theoretical starting point in structural symbolic interactionism: “In the beginning, there is society” (Stryker, 1997, p. 315). Through the immersion of the person in society (i.e., socialization), a self is formed that leads to social behavior, which in turn largely leads to the reproduction of social structures (see Goffman, 1974; Stryker, 2001). Serpe and Stryker (2011) state: “While humans are actors, action does not necessarily result in changing situations or larger structural settings. We can expect social behaviour to exhibit a blend of creativity as well as stability and change” (p. 232; see also Stets & Serpe, 2013). Hence, structural symbolic interactionism acknowledges personal agency. It is more or less limited, but not determined, by social structures and the norms operating within them (Serpe et al., 2020; Stryker, 2001; see also Billett, 2011).
Thus, it becomes clear that structural symbolic interactionism uses the concept of role to integrate structural-functionalist and symbolic-interactionist thoughts, thereby eliminating their respective weaknesses (Serpe et al., 2020; Stryker, 2001; 1981). On the one hand, it follows from the structural-functionalist premise that only the internalization of behavioral norms leads to the definition of interactionally relevant object meanings (Parsons & Bales, 1955)—or, in the terminology of activity theory, it enables cross-occupational collaborative action towards a shared object within the division of labor. On the other hand, drawing on Mead’s (1934) dictum that the self reflects society, role-theoretical concepts are central to theories based on structural symbolic interactionism (Stryker, 1980; Serpe et al., 2020). However, structural symbolic interactionism assumes a degree of internalization that enables the individual to show either conforming or nonconforming role performance. That is, in the terminology of activity theory, all communicative modes are possible. Accordingly, as a superimposing typification of behavior in a social position the role is both an orientation template and subject to redefinition according to vocational or professional values (see Turner, 1962).
Structural symbolic interactionism corresponds to the notion of Beruf in that it upholds the imagery of the mutual constitution of society and individual. Although this congruence applies to a certain extent to symbolic interactionism as well, structural symbolic interactionism’s meta-theoretical reference—society—renders it possible to develop theories and models that can be applied or, in terms of measuring COCC, have empirical validity across specific situations of action in occupational roles held within a Beruf or a profession. In principle, both qualitative and quantitative research methods for empirically modeling COCC can be applied on the basis of structural symbolic interactionism.
For modeling COCC, we thus follow the epistemological premise of structural symbolic interactionism that it is worth adhering to social continuity in the context of social change, which is seen as inevitable by CHAT (see Miettinen, 2006, p. 402) and possible by structural symbolic interactionism. An example of this is advocacy for the recipient of care in the nursing profession. However, role-theoretical concepts focus on the interrelation between the person and the prior social structure (Serpe et al., 2020). That is, they tend to disregard the object, which, on the contrary, is the focus of CHAT. This is the fundamental reason why we merge CHAT and structural symbolic interactionism in our modeling of COCC, which we understand as appropriate predispositions for coping with role-based requirements in such a way that—in activity-theoretical terms—an object is transformed into an outcome that meets recipients’ needs and is in line with vocational and professional values (see Seeber and Wittmann, 2017). We will subsequently enrich the model of COCC with the activity-theoretical notion of (shared) object (for a synoptic comparison of CHAT and structural symbolic interactionism, see Appendix Table 3).
Modeling COCC
The model in Fig. 2 shows individuals’ prerequisites for cross-occupational collaboration, with the bold framed boxes representing its broad outlines. The conception of the role episode model is taken from Kahn and colleagues (1964). It comprises a complete cycle of situational role stimulus by the role sender(s) and the resulting role performance of the occupational role bearer (focal person), the effects of which may result in another role episode. Situationally adequate role performance in the context of cross-occupational collaboration, examples of which are shown on the right side of Table 2, is associated in our model with the predispositions of the occupational role bearer (see, e.g., Allen & van de Vliert, 1984; Blömeke et al., 2015).
Closely associated with these predispositions are two overt types of role behavior in real collaboration situations: role-playing and role-making, which we integrate into our model. As described in the previous section, role-playing is a behavior that conforms to role expectations. It includes conformity with regard to situational expectations on the part of the role sender and/or with regard to the understanding of one’s own occupational role (Allen & van de Vliert, 1984). Role-playing occurs mainly when the role expectations in a specific situation are congruent with the role conceptions held by the role bearer (Biddle, 1986). Its diagnostic potential is therefore rather low. Furthermore, although role-playing is a potential component of real cross-occupational collaboration, it is not a sufficient characteristic. Role-playing is a manifestation of the “coordination” mode in CHAT (Engeström et al., 1991; 1997). As described above, we understand cross-occupational collaboration as an activity system whose main modes are “cooperation” and “reflective communication,” meaning deviation from the script through negotiation with respect to the object and/or script (i.e., occupational roles). These modes can be taken up by the notion of role-making, which favors the adequate shaping and development of the individual self. It involves negotiating, modifying, developing, and shaping expectations (see Burke, 2003; Stryker & Vryan 2006). However, role-making requires a number of latent prerequisites, which we will now address. We will lay them out and model them following the theoretical assumption that they imply increasing levels of ability on the part of the occupational role bearer. We will also provide examples of related performance indicators.
Knowledge About Occupational Roles
In accordance with the meta-theoretical reference of structural symbolic interactionism, knowledge about the occupational roles of the actors in a specific constellation represents the least demanding prerequisite and therefore the lowest level of COCC in our model. Firmly grasping which actions are expected of the occupational role bearer in a situation is a fundamental prerequisite for the competence levels that build on it (see Goffman, 1972; Turner, 2001). Placed within the activity system, such knowledge can be derived from both the organisational division of labor and the Beruf or profession of the subject which allows it to hold a certain occupational role. For instance, when implementing smart home monitoring technology, a nurse might consider securing and protecting the care recipients’ data as part of his or her autonomy-supporting role or fail to do so (see Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, and Federal Ministry of Health and Social Security 2019). A distinction should be made between (i) knowledge about one’s own occupational role and (ii) knowledge about the occupational roles of the collaboration partners. In the case of the smart home, the other role would be that of electronics technician in fulfilling technical requirements by means of digital technology and ensuring the data protection and data security of customers, including informed consent comprehensible to the care recipient. We generally assume that it tends to be less demanding for the occupational role bearer to recognize the situationally relevant norms of his or her own occupational role than to recognize those of the roles of collaboration partners from other occupational groups.
Latent Processes of Role Distance
In our model, a more elaborated indicator of COCC is role distance, which Erving Goffman (1972) defines as “actions which effectively convey some disdainful detachment of the performer from a role he is performing” (p. 98). Goffman explains this as follows:
This ‘effectively’ expressed pointed separateness between the individual and his putative role I shall call role distance. A shorthand is involved here: the individual is actually denying not the role but the virtual self that is implied in the role for all accepting performers. (p. 95)
This representation of role distance points to Goffman’s (1959; see also 1974) dramaturgically introduced dichotomy between the self as a performer and the situated or virtual self as expectations of the role one is to assume (see also the dialectic of “I” and “Me” in Mead, 1934). Accordingly, the individual distances herself or himself at a latent level from the norms and role expectations of the situational role in order to critically reflect on and interpret them. Psychological processes underlying role distance are thus an effort in role-making (see Allen & van de Vliert, 1984). According to Goffman (1972), the focal person accomplishes this effort by referring to roles: “The liberty he takes in regard to a situated self is taken because of other, equally social, constraints” (p. 107).
Thus, possible demonstrations of role distance in the context of cross-occupational collaboration include, for example, the identification of inappropriate or problematic expectations of others with regard to the object and the selection of appropriate critical questions, drawing on one’s own occupational role or that of the collaboration partners. To again take the example of implementing smart home technology at an elderly care facility to support a care recipient’s autonomy, including his or her intimacy (see Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, and Federal Ministry of Health and Social Security 2019), the nurse who—in line with his or her professional role—considers the subjective perception of the person in need of care (see Käppeli, 1995) might, on behalf of the care recipient, question decisions about how monitoring technology is being implemented by the electronics technician. While we suggest that role distance represents a higher level of competence than knowledge of the occupational roles of the collaboration partners, we must caution that it remains unclear to what extent this model holds true empirically. In vocational and professional education, this might also depend on the extent to which this kind of knowledge is actively taught.
Role-Taking
Role-taking is more demanding than role distance. It is the capacity to take the role or, synonymously, the attitude of others with whom one collaborates (Mead, 1934). According to Turner (1956), the individual “does so by placing himself in that other person’s position, imaginatively reviewing that other’s role until the attitude [i.e., tendency to act toward a particular category of objects] in question is indicated” (p. 317). Role-taking thus refers to the individual’s ability to anticipate others’ relevant attitudes (Mead, 1934; see also Heimer and Matsueda, 1994). It can only occur when individuals are able to distance themselves cognitively from the expectations of their own occupational role. Additionally, role-taking necessitates awareness of the situational role of the relevant other, including his or her institutional context (see Turner, 2001). It may be concluded from this inclusive relationship that role-taking is a latent effort to develop an intact self (see Gruber & Harteis, 2018). However, in contrast to latent role distance, role-taking refers less to one’s own occupational role and more to an empathetic perspective with regard to the collaboration partner(s). Again, understanding can be derived from both the responsibilities that come with a certain Beruf or profession and those originating in the organizational division of labor.
By characterizing role-taking as, among other things, an “empathic activity,” Coutu (1951) draws attention to an important aspect of role-taking. Besides the analytical anticipation of the behavior of others, role-taking is also the “feeling of the attitude of the other” (Mead, 1934, p. 171). Through this, actions already performed can be interpreted by identifying the feelings or motives behind the behavior of others (Coutu, 1951; Turner, 1956). In the context of assessing COCC, a role-taking requirement might be to identify the reasons for the situational actions of others, or for the situational role expectations lying within their occupational role. To return to the example of the smart home monitoring technology, the electronics technician could determine the reason for the nurse’s critical questions by taking his or her role. Doing this accurately would allow the technician to understand the nurse’s attitude as originating from the legitimate professional focus on the client’s needs and rights.
Thus, role-taking represents a basic prerequisite for being able to orient individual actions reciprocally (Joas & Beckert 2001). Mead (1934; see also Blumer, 1986) also sees the central part the capacity to take and feel the attitudes of others plays in collaboration:
[Role-taking] is not something that just happens as an incidental result …, but it is of importance in the development of cooperative activity. The immediate effect of such role-taking lies in the control which the individual is able to exercise over his own response. The control of the action of the individual in a co-operative process can take place in the conduct of the individual himself if he can take the role of the other. (Mead, 1934, p. 254)
At this point, Mead suggests what Turner (1962) took as a reason to regard role-taking as a role-making process. Yet although there is some congruency in the sense that role-taking serves to negotiate and modify role expectations (i.e., role-making), these terms are nevertheless separated in the present model.
Object-Oriented Role Coordination
From an analytical point of view, role-making does not emerge directly from role-taking, since the latter is primarily an interpretative and anticipatory action. Therefore, we propose a connecting element, which Blumer (1986) already described in general terms (see also the conceptual understanding of thinking in Dewey, 1922).
Put simply, human beings in interacting with one another have to take account of what each other is doing or is about to do; they are forced to direct their own conduct or handle their situations in terms of what they take into account. Thus, the activities of others enter as positive factors in the formation of their own conduct; in the face of action of others one may abandon an intention or purpose, revise it, check or suspend it, intensify it, or replace it. … One has to fit one’s own line of activity in some manner to the actions of others. (Blumer, 1986, p. 8)
Here, Blumer leaves open the question of what the individual has to orient himself towards by doing this. For cross-occupational collaboration as an activity system, we propose that the shared object, which may involve material objects to be produced, problems to be solved, or a person to be treated, is a core reference point (see also the concept of relational agency by Edwards, 2011). Therefore, we would call this latent ability object-oriented role coordination, which means relating the roles of the actors involved, their role expectations, and the results of role-taking to cope with the common object in the most constructive way possible. By virtue of role coordination, the individual then has a mental template for engaging in adequate role-making with regard to the shared object.
Examples of related performance indicators are choosing conflicting positions and proposing changes for interactive action, thereby selecting situationally appropriate language (see Engeström, 2018) or adequate influence tactics in relation to the collaboration partners and the object (see, e.g., Yukl & Tracey, 1992). In the case of the smart home monitoring technology, the electronics technician could seek guidance from the nurse on how to appropriately explain means of data protection to care recipients and continuously provide customer-oriented, technical solutions that balance out differentiated monitoring requirements and the respective care recipients’ autonomy. The nurse, on the other hand, if she is a good steward of care recipients’ subjective perspectives and rights for autonomy in the face of the implementation of such digital instruments into her care facility, will not only be helped by a thorough understanding of the electronics technician’s role but also requires a firm and increasingly differentiated grasp of his or her own occupational role.
Discussion
In this article, we developed a model of individuals’ COCC which also allows for the elaboration of diagnostic indicators of COCC. For this purpose, we proposed a role-theoretical model, drawing on ideas from structural symbolic interactionism and activity theory (see Fig. 2). This model suggested the following role-theoretical concepts: (i) knowledge of one’s own occupational role, (ii) knowledge of the occupational role of the collaboration partners, (iii) latent role distance, (iv) role-taking, and (v) object-oriented role coordination/role-making.
In its generic form, our model allows for the systematic consideration of collaboration between workers from the same as well as different occupational fields; thus, it is possible to develop tasks and assessment scenarios that integrate a wide variety of occupational actors within a collaborative constellation. The difference lies in the nature of the merged activity systems with their respective different normative frameworks of requirements, each shaped by different occupational and professional norms, as well as in the resulting restrictions and freedoms of action. Furthermore, in its present form our model allows us to take into account occupation-dependent relationships between requirements of socially competent behavior and, for example, factual knowledge on both the object and the role of other occupations (e.g., sales and services vs. social and health care; see Seeber & Wittmann, 2017). Finally, the model lends itself to varying forms of technological implementation for instructional or diagnostic purposes, such as video-based enactments of collaborative situations or serious games (e.g., Wittmann et al. forthcoming).
Since we suggest a hierarchical relationship between the concepts proposed for the purpose of diagnostics, this hierarchy can also be used as a heuristic for the difficulty of assessment tasks. In this way, an a priori assignment can be taken into account in the designing of tasks at varying levels of demand and may improve the interpretability of test results. The assessment designer could also decide whether to integrate prompts for several role-related requirements within a taskFootnote 4 or only one per task in order to analyze a person’s COCC in a differentiated manner (see Embretson, 1998; Hartig, 2008).
In order to pursue related research efforts, the model presented in this article needs to be operationalized. For a standardized assessment, such as a situational judgement test (e.g., Abele, 2018; Kaspar et al., 2016; Rausch, 2017; Ștefӑnicӑ et al., 2017), operationalizing COCC involves relatively great effort because it requires the assessment designer to understand the occupational role of the collaboration partners to be depicted in the instrument within an activity system. Nevertheless, we argue that it is possible to operationalize the model, because activity theory offers valuable indicators for the specification of occupational roles, especially in the context of digital transformation, for instance, by making it possible to analyze changes in rules that emerge in the course of data protection or technological solutions as objects and outcomes. Moreover, it is desirable to transfer the model to a standardized assessment despite the development effort involved, since this enables a higher domain specificity than can be achieved through self-ratings (see Seeber & Wittmann, 2017; Wuttke & Seifried, 2017).
Furthermore, we are aware of a number of limitations that should be taken into account before using the role-theoretical model. First, our role-theoretical model of COCC depends on the existence and clarity of institutionalized differentiation between occupations in the sense of the German notion of Beruf, such as through occupational, vocational, and professional norms. This may be a limitation for the generalizability of the model. Second, COCC is cognitive in the narrow sense in our model. However, since cross-occupational collaboration is social in nature, future research should conceptualize the emotional and moral dimensions as well. Because of the closeness of role-theoretical approaches to these dimensions, our model lends itself to that extension. We contend that an extension in the moral dimension is of particular importance in the context of the digital transformation of social areas. Here, cross-occupational collaboration involves ethical demands both from the professional tradition of nursing, such as the client’s self-determination, the quality of care, or the client’s security, and technological standards like data security and data protection. Changing organizational divisions of labor of the kind that arise with (business) process orientation not only require subjects to collaborate in common problem spaces but are also likely to exacerbate requirements for emotion-related role-taking. Third, it also remains to be tested whether the hierarchy of the role-related aspects is empirically tractable. We intend to close this gap in the ongoing research project “Extended Competence Measurement in the Health Sector” (EKGe)Footnote 5. Here, we used our model to operationalize the interprofessional collaboration competence of nursing students in VET, where initial empirical analyses from a pilot study have yielded promising results (Striković et al. forthcoming).
Conclusions
As we have argued, the digital transformation both enables and necessitates cross-occupational collaboration. We thus claim that COCC will need to become a dominant prerequisite for workers if they are to meet this development. This creates the need to promote practitioners’ individual prerequisites for effective cross-occupational collaboration. By emphasizing stronger reflection on occupational roles in particular, the role-theoretical model presented here represents an integrative theoretical basis for addressing this requirement in VET and conducting empirical studies to test, further develop, and revise the framework of COCC.
Availability of Data and Material
Not applicable.
Code Availability
Not applicable.
Notes
Radio-frequency identification.
Enterprise resource planning.
The origin of our theoretical reasoning is our research on health professions, in which the term “interprofessional cooperation or collaboration” is common but typically ignores other occupations, e.g., from the technical domain.
For example in the form of polytomous items in quantitative assessments.
The project “Extended Competence Measurement in the Health Sector” (EKGe) is funded by the German Federal Ministry of Education and Research (BMBF) ASCOT+ funding initiative. The project partners are the Technical University of Munich (TUM), the University of Münster, the Georg-August University of Göttingen, and the University of Hohenheim.
References
Abele, S. (2018). Diagnostic problem-solving process in professional contexts: Theory and empirical investigation in the context of car mechatronics using computer-generated log-files. Vocations and Learning, 11(2), 133–159. https://doi.org/10.1007/s12186-017-9183-x
Abele, S., Deutscher, V. K., Nickolaus, R., Rausch, A., Seeber, S., Sembill, D., Seifried, J., Walker, F., Weyland, U., Winther, E., Wittmann, E., & Wuttke, E. (2021). Potenziale technologiebasierter Kompetenztests der ASCOT-Initiative aus der Perspektive der Curriculum-Instruction-Assessment-Triade [Potentials of technology-based competence tests of the ASCOT initiative from the perspective of the curriculum-instruction-assessment triad]. In K. Beck, & F. Oser (Eds.), Resultate und Probleme der Berufsbildungsforschung [Results and problems of VET research]. Festschrift für Susanne Weber (pp. 13 –42). Bielefeld: wbv
Allen, V. L., & van de Vliert, E. (1984). A role theoretical perspective on transitional processes. In V. L. Allen, & van de V. Vliert (Eds.), Role transitions: Explorations and explanations (pp. 3–18). Boston, MA: Springer. https://doi.org/10.1007/978-1-4613-2697-7
Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press
Avis, J. (2021). Vocational education in the fourth industrial revolution: Education and employment in a post-work Age. Cham: Palgrave Pivot. https://doi.org/10.1007/978-3-030-52032-8
Bakker, A., & Akkerman, S. F. (2019). The learning potential of boundary crossing in the vocational curriculum. In D. Guile, & L. Unwin (Eds.), The Wiley handbook of vocational education and training (pp. 351–372). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781119098713.ch18
Beer, P., & Mulder, R. H. (2020). The effects of technological developments on work and their implications for continuous vocational education and training: A systematic review. Frontiers in Psychology, 11, 918. https://doi.org/10.3389/fpsyg.2020.00918
Bennis, S., Costanzo, D., Flynn, A. M., Reidy, A., & Tronni, C. (2007). Digital transformation in home care: A case study. Journal of Healthcare Information Management, 21(4), 49–55
Biddle, B. J. (1986). Recent developments in role theory. Annual Review of Sociology, 12, 67–92. https://doi.org/10.1146/annurev.so.12.080186.000435
Billett, S. (2006). Work, change and workers. Dordrecht: Springer. https://doi.org/10.1007/1-4020-4651-0
Billett, S. (2008). Learning throughout working life: A relational interdependence between personal and social agency. British Journal of Educational Studies, 56(1), 39–58. https://doi.org/10.1111/j.1467-8527.2007.00394.x
Billett, S. (2011). Vocational education: Purposes, traditions and prospects. Dordrecht: Springer. https://doi.org/10.1007/978-94-007-1954-5
Billett, S. (2019). Vocational education and the individual. In D. Guile, & L. Unwin (Eds.), The Wiley handbook of vocational education and training (pp. 41–62). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781119098713.ch3
Blömeke, S., Gustafsson, J. E., & Shavelson, R. J. (2015). Beyond dichotomies: Competence viewed as a continuum. Zeitschrift für Psychologie/Journal of Psychology, 223(1), 3–13. https://doi.org/10.1027/2151-2604/a000194
Blumer, H. (1986). Symbolic interactionism: Perspective and method. Berkeley, CA: University of California Press
Bodrožić, Z., & Adler, P. S. (2018). The evolution of management models: A neo-Schumpeterian theory. Administrative Science Quarterly, 63(1), 85–129. https://doi.org/10.1177%2F0001839217704811
Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company
Burke, P. J. (2003). Introduction. In P. J. Burke, T. J. Owens, R. T. Serpe, & P. A. Thoits (Eds.), Advances in identity theory and research (pp. 1–7). Boston, MA: Springer. https://doi.org/10.1007/978-1-4419-9188-1_1
Camarinha-Matos, L. M., Fornasiero, R., Ramezani, J., & Ferrada, F. (2019). Collaborative networks: A pillar of digital transformation. Applied Sciences, 9(24), https://doi.org/10.3390/app9245431
Cassedy, S. (2020). Connected: How trains, genes, pineapples, piano keys, and a few disasters transformed Americans at the dawn of the twentieth century. Redwood City: Stanford University Press. https://doi.org/10.1515/9780804788410
Chan, S. (2019). From job to calling: Vocational identity and the role of apprenticeship. Vocations and Learning, 12(3), 387–403. https://doi.org/10.1007/s12186-019-09220-5
Coutu, W. (1951). Role-playing vs. role-taking: An appeal for clarification. American Sociological Review, 16(2), 180–187. https://doi.org/10.2307/2087691
Davies, R. A. (2013). Interprofessional education and the idea of an educated public. Journal of Vocational Education & Training, 65(2), 291–302. https://doi.org/10.1080/13636820.2013.783615
Dewey, J. (1916). Democracy and education. New York, NY: MacMillan
Dewey, J. (1922). Human nature and conduct: An introduction to social psychology. New York, NY: Henry Holt and Company
Dewhurst, Y. A. N., & Pendergast, D. (2008). Home economics in the 21st century: A cross cultural comparative study. International Journal of Home Economics, 1(1), 63–87
Douse, M., & Uys, P. (2019). TVET teaching in the time of digitization. In S. McGrath, M. Mulder, J. Papier, & R. Suart (Eds.), Handbook of vocational education and training (pp. 23–38). Cham: Springer. https://doi.org/10.1007/978-3-319-94532-3_75
Edwards, A. (2007). Relational agency in professional practice: A CHAT analysis. Action: An International Journal of Human Activity Theory, 1, 1–17
Edwards, A. (2011). Building common knowledge at the boundaries between professional practices: Relational agency and relational expertise in systems of distributed expertise. International Journal of Educational Research, 50(1), 33–39. https://doi.org/10.1016/j.ijer.2011.04.007
Edwards, R., & Fenwick, T. (2016). Digital analytics in professional work and learning. Studies in Continuing Education, 38(2), 213–227. https://doi.org/10.1080/0158037X.2015.1074894
Elias, M. J. (2008). Stir it up: Home economics in American culture. Philadelphia: University of Pennsylvania Press
Embretson, S. E. (1998). A cognitive design system approach to generating valid tests: Application to abstract reasoning. Psychological Methods, 3(3), 380–396. https://doi.org/psycnet.apa.org/doi/10.1037/1082-989X.3.3.380
Engeström, Y. (1992). Interactive expertise: Studies in distributed working intelligence. Research Bulletin No. 83. Helsinki: University of Helsinki, Department of Education. https://files.eric.ed.gov/fulltext/ED349956.pdf. Accessed 30 January 2021
Engeström, Y. (2000). Activity theory as a framework for analyzing and redesigning work. Ergonomics, 43(7), 960–974. https://doi.org/10.1080/001401300409143
Engeström, Y. (2004). The new generation of expertise: Seven theses. In H. Rainbird, A. Fuller, & A. Munro (Eds.), Workplace learning in context (pp. 145–165). London: Routledge. https://doi.org/10.4324/9780203571644
Engeström, Y. (2005). Knotworking to create collaborative intentionality capital in fluid organizational fields. In M. M. Beyerlein, S. T. Beyerlein, & F. A. Kennedy (Eds.), Collaborative capital: Creating intangible value (Advances in interdisciplinary studies of work teams, Vol. 11) (pp. 307–336). Bingley: Emerald Group Publishing. https://doi.org/10.1016/S1572-0977(05)11011-5
Engeström, Y. (2007). Enriching the theory of expansive learning: Lessons from journeys toward coconfiguration. Mind, Culture, and Activity, 14(1–2), 23–39. https://doi.org/10.1080/10749030701307689
Engeström, Y. (2008). From teams to knots: Activity-theoretical studies of collaboration and learning at work. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO9780511619847
Engeström, Y. (2018). Expertise in transition: Expansive learning in medical work. Cambridge: Cambridge University Press. https://doi.org/10.1017/9781139023009
Engeström, Y. (2019). Learning by expanding. An activity-theoretical approach to developmental research (2nd ed.). Cambridge, UK: Cambridge University Press
Engeström, Y., Brown, K., Christopher, C., & Gregory, J. (1991). Coordination, cooperation and communication in courts: Expansive transitions in legal work. The Quarterly Newsletter of the Laboratory of Comparative Human Cognition, 13(4), 88–97. http://lchc.ucsd.edu/Histarch/oc91v13n4.PDF#page=12. Accessed 30 January 2021
Engeström, Y., Brown, K., Christopher, C., & Gregory, J. (1997). Coordination, cooperation, and communication in the courts: Expansive transitions in legal work. In M. Cole, Y. Engeström, & O. Vasquez (Eds.), Mind, culture and activity: Seminal articles from the Laboratory of Comparative Human Cognition (pp. 369–385). Cambridge, UK: Cambridge University Press
Engeström, Y., & Sannino, A. (2010). Studies of expansive learning: Foundations, findings and future challenges. Educational Research Review, 5(1), 1–24. https://doi.org/10.1016/j.edurev.2009.12.002
Engeström, Y., & Sannino, A. (2021). From mediated actions to heterogenous coalitions: Four generations of activity-theoretical studies of work and learning. Mind, Culture, and Activity, 28(1), 4–23. https://doi.org/10.1080/10749039.2020.1806328
Federal Ministry for Family Affairs, Citizens, S., & Federal Ministry for Health and Social Security. (2019). Women and Youth, & Charter of rights for people in need of long-term care and assistance. Berlin: Federal Ministry for Family Affairs, Senior Citizens, Women and Youth, & Federal Ministry for Health and Social Security. https://www.bmfsfj.de/blob/jump/137348/charta-der-rechte-englisch-data.pdf. Accessed 04 December 2021
Fischer, C., & Pöhler, A. (2018). Supporting the change to digitalized production environments through learning organization development. In C. Harteis (Ed.), The impact of digitalization in the workplace (pp. 141–160). Cham: Springer. https://doi.org/10.1007/978-3-319-63257-5_10
Gecas, V. (1982). The self-concept. Annual Review of Sociology, 8, 1–33. https://doi.org/10.1146/annurev.so.08.080182.000245
Goffman, E. (1959). The presentation of self in everyday life. New York, NY: Bantam Doubleday Dell Publishing Group Inc
Goffman, E. (1972). Encounters: Two studies in the sociology of interaction. Harmondsworth: Penguin University Books
Goffman, E. (1974). Frame-analysis: An essay on the organization of experience. Harmondsworth: Penguin University Books
Gruber, H., & Harteis, C. (2018). Individual and social influences on professional learning: Supporting the acquisition and maintenance of expertise. Cham: Springer. https://doi.org/10.1007/978-3-319-97041-7
Guile, D., & Lahiff, A. (2017). Apprenticeship for “liquid life”: Learning in contingent work conditions for contingent employment. Vocations and Learning, 10(2), 157–175. https://doi.org/10.1007/S12186-016-9166-3
Guile, D., & Unwin, L. (2019). VET, expertise, and work: Situating the challenge for the twenty-first century. In D. Guile, & L. Unwin (Eds.), The Wiley handbook of vocational education and training (pp. 17–40). Hoboken, NJ: John Wiley & Sons. https://doi.org/10.1002/9781119098713.ch2
Guile, D., & Unwin, L. (2020). Expertise as a “capacity for action”: Reframing vocational knowledge from the perspective of work. Journal of Vocational Education & Training. https://doi.org/10.1080/13636820.2020.1858939. Advance online publication
Hämäläinen, R., Lanz, M., & Koskinen, K. T. (2018). Collaborative systems and environments for future working life: Towards the integration of workers, systems and manufacturing environments. In C. Harteis (Ed.), The impact of digitalization in the workplace (pp. 25–38). Cham: Springer. https://doi.org/10.1007/978-3-319-63257-5_3
Hansen, D. T. (1994). Teaching and the sense of vocation. Educational Theory, 44(3), 259–275. https://doi.org/10.1111/j.1741-5446.1994.00259.x
Harteis, C. (2018). The impact of digitalization in the workplace: An educational view. Cham: Springer. https://doi.org/10.1007/978-3-319-63257-5
Hartig, J. (2008). Psychometric models for the assessment of competencies. In J. Hartig, E. Klieme, & D. Leutner (Eds.), Assessment of competencies in educational contexts (pp. 69–90). Göttingen: Hogrefe Publishing GmbH
Heimer, K., & Matsueda, R. L. (1994). Role-taking, role commitment, and delinquency: A theory of differential social control. American Sociological Review, 59(3), 365–390. https://doi.org/10.2307/2095939
Helbig, C., Hofhues, S., & Lukács, B. (2021). Multi-stakeholder dialogues as instrument for design and qualitative research in educational organisations. In D. Ifenthaler, S. Hofhues, S. M. Egloffstein, & C. Helbig (Eds.), Digital transformation of learning organizations (pp. 23–40). Cham: Springer. https://doi.org/10.1007/978-3-030-55878-9_14
Hoeyer, K. (2019). Data as promise: Reconfiguring Danish public health through personalized medicine. Social Studies of Science, 49(4), 531–555. https://doi.org/10.1177/0306312719858697
Joas, H., & Beckert, J. (2001). Action theory. In J. H. Turner (Ed.), Handbook of sociological theory (pp. 269–285). Boston, MA: Springer. https://doi.org/10.1007/0-387-36274-6_14
Kahn, R. L., Wolfe, D. M., Quinn, R. P., Snoek, J. D., & Rosenthal, R. A. (1964). Organizational stress: Studies in role conflict and ambiguity. New York, NY: John Wiley & Sons
Käppeli, S. (1995). Interprofessional cooperation: Why is partnership so difficult? Patient Education and Counseling, 26(1–3), 251–256. https://doi.org/10.1016/0738-3991(95)00755-O
Karam, M., Brault, I., Van Durme, T., & Macq, J. (2018). Comparing interprofessional and interorganizational collaboration in healthcare: A systematic review of the qualitative research. International Journal of Nursing Studies, 79, 70–83. https://doi.org/10.1016/j.ijnurstu.2017.11.002
Kaspar, R., Döring, O., Wittmann, E., Hartig, J., Weyland, U., Nauerth, A., Möllers, M., Rechenbach, S., Simon, J., & Worofka, I. (2016). Competencies in Geriatric Nursing: Empirical Evidence from a Computer-Based Large-Scale Assessment Calibration Study. Vocations and Learning, 9(2), 185–206. https://doi.org/10.1007/s12186-015-9147-y
Kim, S. Y. (2019). The fourth industrial revolution: Trends and impacts on the world of work. In S. McGrath, M. Mulder, J. Papier, & R. Suart (Eds.), Handbook of vocational education and training (pp. 177–194). Cham: Springer. https://doi.org/10.1007/978-3-319-94532-3_115
Kira, M. (2010). Routine-generating and regenerative workplace learning. Vocations and Learning, 3(1), 71–90. https://doi.org/10.1007/s12186-009-9032-7
Klotz, V. K., Billett, S., & Winther, E. (2014). Promoting workforce excellence: Formation and relevance of vocational identity for vocational educational training. Empirical Research in Vocational Education and Training, 6(1), https://doi.org/10.1186/s40461-014-0006-0
Konkola, R., Tuomi-Gröhn, T., Lambert, P., & Ludvigsen, S. (2007). Promoting learning and transfer between school and workplace. Journal of Education and Work, 20(3), 211–228. https://doi.org/10.1080/13639080701464483
Kuhn, M. H. (1964). Major trends in symbolic interaction theory in the past twenty-five years. The Sociological Quarterly, 5(1), 61–84. https://doi.org/10.1111/j.1533-8525.1964.tb02256.x
Kuhn, M. H., & McPortland, T. S. (1954). An empirical investigation of self-attitudes. American Sociological Review, 19(1), 68–76. https://doi.org/10.2307/2088175
Leathard, A. (2003). Interprofessional collaboration: From policy to practice in health and social care. Hove: Brunner-Routledge
Leont’ev, A. N. (1978). Activity, consciousness, and personality. Englewood Cliffs, NJ: Prentice-Hall
Leontyev, A. N. (1981). Problems of the development of the mind. Moscow: Progress
Marx, K. (1909). Capital: A critique of political economy. Vol. 1. The process of capitalist production. Chicago, IL: Charles H. Kerr & Company
McGregor, S. L. T., Pendergast, D., Seniuk, E., Eghan, F., & Engberg, L. (2008). Choosing our future: Ideologies matter in the home economics profession. International Journal of Home Economics, 1(1), 43–62
Mead, G. H. (1934). Mind, self and society from the standpoint of a social behaviorist. Chicago, IL: The University of Chicago Press
Mead, G. H. (1936a). Movements of thought in the nineteenth century. Chicago, IL: University of Chicago Press
Mead, G. H. (1936b). The philosophy of John Dewey. International Journal of Ethics, 46(1), 64–81. https://doi.org/10.1086/intejethi.46.1.2989319
Messick, S. (1994). The interplay of evidence and consequences in the validation of performance assessments. Educational Researcher, 23(2), 13–23. https://doi.org/10.3102/0013189X023002013
Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741–749. https://doi.org/10.1037/0003-066X.50.9.741
Miettinen, R. (2005). Object of activity and individual motivation. Mind, Culture, and Activity, 12(1), 52–69. https://doi.org/10.1207/s15327884mca1201_5
Miettinen, R. (2006). Epistemology of transformative material activity: John Dewey’s pragmatism and cultural-historical activity theory. Journal for the Theory of Social Behaviour, 36(4), 389–408. https://doi.org/10.1111/j.1468-5914.2006.00316.x
Mislevy, R. J., Almond, R. G., & Lukas, J. F. (2003). A brief introduction to evidence-centered design. ETS Research Reports, 2003(1), i–29. https://doi.org/10.1002/j.2333-8504.2003.tb01908.x
Mislevy, R. J., Steinberg, L. S., & Almond, R. G. (1999). On the roles of task model variables in assessment design. CSE Technical Report 500. Los Angeles, CA: CRESST/CSE, UCLA. https://files.eric.ed.gov/fulltext/ED431804.pdf. Accessed 31 January 2021
Paavola, S., & Miettinen, R. (2019). Dynamics of design collaboration: BIM models as intermediary digital objects. Computer Supported Cooperative Work (CSCW), 28, 1–23. https://doi.org/10.1007/s10606-018-9306-4
Parsons, T. (1951). The social system. Glencoe, IL: Free Press of Clencoe
Parsons, T., Shils, E. A., Allport, G. W., Kluckhohn, C., Murray, H. A., Sears, R. R. … Tolman, E. C. (1951). Some fundamental categories of the theory of action: A general statement. In T. Parsons, & E. A. Shils (Eds.), Toward a general theory of action (pp. 3–29). https://doi.org/10.4159/harvard.9780674863507.c2
Parsons, T., & Bales, R. F. (1955). Family, socialization and interaction process. Glencoe, IL: Free Press
Pellegrino, J. W. (2012). The design of an assessment system focused on student achievement: A learning sciences perspective on issues of competence, growth and measurement. In S. Bernholt, K. Neumann, & P. Nentwig (Eds.), Making it tangible—learning outcomes in science education (pp. 79–107). Münster: Waxmann
Piller, F. T. (2004). Mass customization: Reflections on the state of the concept. The International Journal of Flexible Manufacturing Systems, 16, 313–334. https://doi.org/10.1007/s10696-005-5170-x
Rausch, A. (2017). Dispositional predictors of problem solving in the field of office work. Vocations and Learning, 10(2), 177–199. https://doi.org/10.1007/s12186-016-9165-4
Reijers, H. A. (2003). Design and control of workflow processes, business process management for the service industry. Berlin: Springer. https://doi.org/10.1007/3-540-36615-6
Sannino, A., & Engeström, Y. (2018). Cultural-historical activity theory: Founding insights and new challenges. Kul’turno-istoricheskaya psikhologiya = Cultural-Historical Psychology, 14(3), 43–56. https://doi.org/10.17759/chp.2018140304
Schirmer, H. (2020). Entwicklung eines Geschäftsprozessmodells als Referenz für einen curricular intendierten beruflichen Unterricht [Development of a business process model as a reference for vocational instruction based on curricular intentions] (Dissertation). Munich: Technical University of Munich. http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20200220-1519951-1-2. Accessed 30 January 2021
Scholkmann, A. B. (2021). Resistance to (digital) change: Individual, systemic and learning-related perspectives. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital transformation of learning organizations (pp. 219–236). Cham: Springer. https://doi.org/10.1007/978-3-030-55878-9_13
Seeber, S., & Wittmann, E. (2017). Social Competence Research: A Review. In M. Mulder (Ed.), Competence-based Vocational and Professional Education. Bridging the Worlds of Work and Education (pp. 1029–1050). Cham: Springer. https://doi.org/10.1007/978-3-319-41713-4_48
Serpe, R. T., & Stryker, S. (2011). The symbolic interactionist perspective and identity theory. In S. Schwartz, K. Luyckx, & V. Vignoles (Eds.), Handbook of identity theory and research (pp. 225–248). New York, NY: Springer. https://doi.org/10.1007/978-1-4419-7988-9_10
Serpe, R. T., Stryker, R., & Powell, B. (2020). Structural symbolic interaction and identity theory: The Indiana school and beyond. In R. T. Serpe, R. Stryker, & B. Powell (Eds.), Identity and symbolic interaction: Deepening foundations, building bridges (pp. 1–33). Cham: Springer. https://doi.org/10.1007/978-3-030-41231-9_1
Shibuya, K. (2020). Digital transformation of identity in the age of artificial intelligence. Singapore: Springer. https://doi.org/10.1007/978-981-15-2248-2
Stage, S. (1997). Introduction. In S. Stage, & V. B. Vincenti (Eds.), Rethinking home economics: Women and the history of a profession (pp. 1–14). New York, NY: Cornell University Press
Ștefӑnicӑ, F., Abele, S., Walker, F., & Nickolaus, R. (2017). Modeling, measurement, and development of professional competence in industrial-technical professions. In M. Mulder (Ed.), Competence-based vocational and professional education: Bridging the worlds of work and education (pp. 843–861). Cham: Springer. https://doi.org/10.1007/978-3-319-41713-4_39
Stets, J. E., & Serpe, R. T. (2013). Identity theory. In J. DeLamater, & A. Ward (Eds.), Handbook of social psychology (pp. 31–60). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-6772-0_2
Striković, A., Krebs, P., Wittmann, E., & Seeber, S. (forthcoming). Interprofessional Collaboration Competency Instrument for Nursing (ICCI-N): A Validation Study of German Student Nurses. 2022 World Education Research Association (WERA) Focal Meeting in Cooperation with AERA, San Diego, CA, 25.04.2022
Stryker, S. (1980). Symbolic interactionism: A social structural version. Menlo Park, CA: Benjamin Cummings
Stryker, S. (1981). Social psychology: Trends, assessment, and prognosis. American Behavioral Scientist, 24(3), 386–406. https://doi.org/10.1177%2F000276428102400305
Stryker, S. (1997). In the beginning, there is society: Lessons from a sociological social psychology. In C. McGarty, & S. A. Haslam (Eds.), The message of social psychology: Perspectives on mind in society (pp. 315–327). Cambridge, MA: Blackwell
Stryker, S. (2001). Traditional symbolic interactionism, role theory, and structural symbolic interactionism: The road to identity theory. In J. H. Turner (Ed.), Handbook of sociological theory (pp. 211–231). Boston, MA: Springer. https://doi.org/10.1007/0-387-36274-6_11
Stryker, S., & Serpe, R. T. (1982). Commitment, identity salience, and role behavior: Theory and research example. In W. Ickes, & E. S. Knowles (Eds.), Personality, roles, and social behavior (pp. 199–218). New York, NY: Springer. https://doi.org/10.1007/978-1-4613-9469-3_7
Stryker, S., & Vryan, K. D. (2006). The symbolic interactionist frame. In J. Delamater (Ed.), Handbook of social psychology (pp. 3–28). Boston, MA: Springer. https://doi.org/10.1007/0-387-36921-X_1
Tardieu, H., Daly, D., Esteban-Lauzán, J., Hall, J., & Miller, G. (2020). Deliberately digital: Rewriting enterprise DNA for enduring success. Cham: Springer. https://doi.org/10.1007/978-3-030-37955-1
The Onlife Initiative. (2015). The Onlife manifesto. In L. Floridi (Ed.), The Onlife manifesto: Being human in a hyperconnected era (pp. 7–13). Cham: Springer. https://doi.org/10.1007/978-3-319-04093-6_2
Turner, R. H. (1956). Role-taking, role standpoint, and reference-group behavior. American Journal of Sociology, 61(4), 316–328. https://doi.org/10.1086/221763
Turner, R. H. (1962). Role-taking: Process versus conformity. In A. M. Rose (Ed.), Human behaviour and social processes: An interactionist approach (pp. 20–40). Boston, MA: Houghton Mifflin
Turner, R. H. (2001). Role theory. In J. H. Turner (Ed.), Handbook of sociological theory (pp. 233–254). Boston, MA: Springer. https://doi.org/10.1007/0-387-36274-6
Vähäsantanen, K., & Eteläpelto, A. (2018). Agency and learning in the work of software professionals. In C. Harteis (Ed.), The impact of digitalization in the workplace (pp. 161–179). Cham: Springer. https://doi.org/10.1007/978-3-319-63257-5_11
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press
Vygotsky, L. S. (1997). The instrumental method in psychology. In R. W. Rieber, & J. Wollock (Eds.), The collected works of L. S. Vygotsky. Vol. 3. Problems of the theory and history of psychology (pp. 85–89). New York, NY: Plenum Press
Wallin, A., Pylväs, L., & Nokelainen, P. (2020). Government workers’ stories about professional development in a digitalized working life. Vocations and Learning, 13(3), 439–458. https://doi.org/10.1007/s12186-020-09248-y
Wartofsky, M. (1979). Models: Representation and scientific understanding. Dordrecht: Reidel
Weber, M. (2019). Economy and society: A new translation. Cambridge, MA: Harvard University Press. (Original published 1922)
Willaert, P., Van den Bergh, J., Willems, J., & Deschoolmeester, D. (2007). The process-oriented organisation: A holistic view developing a framework for business process orientation Maturity. In A. P. Dadam, & M. Rosemann (Eds.), BPM 2007 (pp. 1–15). Berlin: Springer. https://doi.org/10.1007/978-3-540-75183-0_1
Wilson, M. (2005). Constructing measures. An item response modelling approach. Mahwah, NJ: Lawrence Erlbaum Associates Publishers
Wilson, R. (2019). Skills forecasts in a rapidly changing world: Through a glass darkly. In S. McGrath, M. Mulder, J. Papier, & R. Suart (Eds.), Handbook of vocational education and training (pp. 3–21). Cham: Springer. https://doi.org/10.1007/978-3-319-94532-3_74
Winch, C. (2010). Dimensions of expertise: A conceptual exploration of vocational knowledge. London: Continuum International Publishing Group
Windelband, L. (2019). Bedeutung von veränderten Konzepten von Beruflichkeit für Ausbildung und Qualifikation durch die Digitalisierung [Significance of changing concepts of Beruflichkeit for training and qualification through digitalisation]. Berufsbildung, 73(176), 8–11
Wirth, K., & Sweet, K. (2019). One-to-one personalization in the age of machine learning: Harnessing data to power great customer experiences (2nd ed.). Evergage, Inc
Wittmann, E., & Weyland, U. (2020). Berufliche Bildung im Kontext der digitalen Transformation [Vocational Education in the Context of Digital Transformation]. Zeitschrift für Berufs- und Wirtschaftspädagogik, 116(2), 269–291. https://doi.org/10.25162/ZBW-2020-0012
Wittmann, E., & Neuweg, G.-H. (2021). Die digitale Transformation als Herausforderung für den Hintergrund unseres Wissens [The digital transformation as a challenge for the background of our knowledge]. In K. Beck, & F. Oser (Eds.), Resultate und Probleme der Berufsbildungsforschung [Results and problems of VET research]. Festschrift für Susanne Weber (pp. 265–277). Bielefeld: wbv
Wittmann, E., Weyland, U., Warwas, J., Seeber, S., & Schumann, M. (forthcoming). Operationalisierung und Förderung von Bewältigungs- und Kooperationskompetenzen in der Pflegeausbildung-Ansätze im Forschungsprojekt EKGe. [Operationalizing and fostering coping and collaboration competencies in nursing education-approaches in the research projekt EKGe]. Zeitschrift für Berufs- und Wirtschaftspädagogik.
World Economic Forum (2020). The future of jobs 2020. Geneva: WEF. http://www3.weforum.org/docs/WEF_Future_of_Jobs_2020.pdf. Accessed 02 February 2021
Wuttke, E., & Seifried, J. (2017). Modeling and measurement of teacher competence: Old wine in new skins?. In M. Mulder (Ed.), Competence-based vocational and professional education: Bridging the worlds of work and education (pp. 883–901). Cham: Springer. https://doi.org/10.1007/978-3-319-41713-4_41
Xu, R., Qu, S., Liu, Y., & Wang, J. (2018). Demand engineering in mass customization using data-driven approach. In S. Hankammer, K. Nielsen, F. T. Piller, G. Schuh, & N. Wang (Eds.), Customization 4.0. Proceedings of the 9th World Mass Customization & Personalization Conference (MCP 2017), Aachen, Germany, November 20th–21th, 2017 (pp. 75–86). Cham: Springer. https://doi.org/10.1007/978-3-319-77556-2_5
Young, M. (2001). Contextualising a new approach to learning: Some comments on Yrjö Engeström’s theory of expansive learning. Journal of Education and Work, 14(1), 157–161. https://doi.org/10.1080/713677004
Yukl, G., & Tracey, J. B. (1992). Consequences of influence tactics used with subordinates, peers, and the boss. Journal of Applied Psychology, 77(4), 525–535. https://doi.org/10.1037/0021-9010.77.4.525
Zabeck, J. (2013). Geschichte der Berufserziehung und ihrer Theorie (2nd ed.) [History of VET and its theory] Paderborn: Eusl-Verlagsgesellschaft mbH
Funding
This research was funded by the German Federal Ministry of Education and Research (21AP006B). Open Access funding enabled and organized by Projekt DEAL.
Author information
Authors and Affiliations
Contributions
Theorization and modeling were primarily performed by AS, who also wrote the first draft of the manuscript. Both authors contributed to the conception and design of the paper, manuscript revision, and read and approved the submitted version.
Corresponding author
Ethics declarations
Conflicts of Interest/Competing Interests
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Ethics Approval
Not applicable.
Consent to Participate
Not applicable.
Consent for Publication
Both authors agreed with the content and gave explicit consent to submit.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Striković, A., Wittmann, E. Collaborating Across Occupational Boundaries: Towards a Theoretical Model. Vocations and Learning 15, 183–208 (2022). https://doi.org/10.1007/s12186-022-09284-w
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12186-022-09284-w