Our approach to inquiry offered a fresh perspective from which to understand collaboration and the organizational elements that support it. Reasoning that “it takes richness to grasp richness” (Weick, 2007, p.16), we aimed to expand our capacity for seeing. Our first lens zoomed-in to explore how collaboration manifests in the contemporary knowledge-based firm. Our second lens zoomed-out to explore the collaborative work context as an ecological whole. Below, we share insights from each lens to shape an evidence-based lens for our inquiry.
Zoomed-In Approach: Exploring Collaboration as a Cross-Boundary Competence
At its most basic, collaboration is the practice of two or more entities working together (
Bedwell et al., 2012) to achieve value that neither entity can realize working independently (e.g., Corporaal et al., 2015). Bedwell et al.'s (2012) systematic review of the literature defined collaboration as “an evolving process whereby two or more social entities actively and reciprocally engage in joint activities aimed at achieving at least one shared goal” (p. 130). In their conception, collaborating entities come together because they have divergent skills or resources to solve a task of mutual interest. The interactivity need not be uniform or static; at times, the parties may be working independently, coordinating their efforts, or engaging in more reciprocal behaviors, and contributions may be uneven as the process unfolds. Cross-boundary collaboration, by extension, is the practice of working collectively across any number of organizational boundaries, including unit, disciplinary, geographical, temporal, and hierarchical (e.g.,
Edmondson et al., 2019;
Hsiao, Tsai, & Lee, 2012).
We explore three literatures that attend to the nature of cross-boundary collaborative efforts and shed light on the supportive contextual conditions; they are the team learning (e.g.,
Edmondson 2012a,
2018), social network (e.g.,
Cross et al., 2008), and social learning (e.g., Wenger et al., 2002) literatures. Together, they reveal a picture of cross-boundary collaboration as dynamic efforts that co-evolve at the point of need to engage the right mix of talent around learning-oriented efforts.
The first theme of contemporary cross-boundary collaboration is that efforts evolve dynamically at the point of need. Whereas traditionally, team structures have emphasized permanence and relative stability to promote enduring value, in today's dynamic contexts it follows that collaborative efforts co-evolve as needs present (Eisenhardt & Gulanic, 2000; Hackman, 2007;
Mortensen & Haas, 2018;
Tannenbaum et al., 2012).
Edmondson (2012b;
2013) describes the dynamic formation as teaming; more like self-organizing for a pickup basketball game than playing on a team with set plays. Similarly, scholars from the social network and learning perspectives describe the co-evolving dynamic as hubs of “dynamic participation” (
Mortensen & Haas, 2018, p. 347), or networks that rapidly form and dissolve (
Cross et al., 2008), or communities of practice (
Brandi & Elkjaer, 2011; Brown & Dugid, 1991, 2000; Wenger et al., 2002). Importantly, all perspectives emphasize that local players are best positioned to notice and attend to the problems before them (Cross & Gray, 2013; Cross et al., 2016; Dewar et al., 2009; Mariotti & Delbridge, 2012).
The second theme of contemporary collaboration is that the makeup of who's involved and for how long is fluid. Traditionally scholars have emphasized the importance of stable teams to develop a shared learning context (e.g., Moreland & Myaskovsky, 2000) and sustained roles and responsibilities (e.g.,
Hackman, 1990,
2002). In contemporary contexts, collaborators benefit from reaching beyond their core to seek advice and learnings (
Amelkin et al., 2018;
Edmondson, 2018; Pentland, 2012) and to coordinate with others in the value stream (Ancona & Bresman, 2007;
Cross et al., 2010). Beyond outreach, fluid membership enables collaborating peers to target their involvement to their best contributions. As
Edmondson (2012b) explains, when organizations tackle out-of-the-ordinary initiatives, “It's just not possible to identify the right skills and knowledge in advance and to trust that the circumstances will not change” (p. 77).
Jeffery's (2003) study of the makeup of a cross-functional research group is illustrative. Referring to the project as a “constantly maturing agenda” (p. 553), over time the core group shifted from 10 members to 3, interactivity increased, and meetings became informal. Jeffery noted, “it was just the way that things happened” (p. 554).
A third theme is that collaboration is becoming more learning oriented. Traditionally, organizations have favored work approaches that rely on planning and execution over learning and innovation (
Edmondson 2003,
2018). Yet, cross-boundary challenges are by nature complex, and that complexity drives the need for interactive learning (
Chan et al., 2007;
Edmondson & Lei, 2014;
Pennington, 2008,
2010). As
Cummings and Kiesler (2005) explain, it is the “juxtaposition of disciplinary expertise, perspectives, approaches, tools, and technologies” (p. 704) that enables collaborators to problem solve and generate useful solutions to complex challenges. Beyond the simple exchange of knowledge, scholars working with the social learning tradition emphasize how actively conversing and improvising together enables collaborators to share and absorb each other's domain logic (Brown & Duguid, 2000;
Edmondson, 2013;
Hargadon & Sutton 1997). Through joint practice, collaborators experiment with placing their domain logic within another's through prototypes, sketches, metaphors, and the like (
Bechky, 2003).
Contextual Enablers of Fluid, Co-Evolving Collaboration. If collaborative efforts co-evolve at the point of need, engage players fluidly, and rely on collective learning,
what are the contextual enablers that afford it
? First and foundationally, local players, ideally situated to notice and interpret the problems before them, must be free to coalesce, exchange knowledge, and experiment with solutions (
Edmondson, 2012b; Eisenhardt & Galunic;
2000). Consistent with
Edmondson's (2012b) notion of teaming, peers must be free to identify when to engage, with whom, and how. Within the social learning and network traditions, the latitude of peers to coalesce and problem solve is earned by peers themselves, who, through helpful contributions, acquire a sense of legitimacy or perceived competence (Antonacopoulou & Pesqueux, 2010;
Brandi & Elkjaer, 2011; 2010; Cross & Gray, 2013;
Lave & Wenger, 1991).
The second contextual enabler creates a social-relational climate of trust and inclusivity to support collaborators to seek and integrate expertise with others. Perceptions of trust support knowledge exchange across role and unit boundaries by fostering seeking behaviors—to acquire knowledge from others— and helping behaviors—whereby others are willing to share what they know and offer assistance (
Cross et al., 2020;
Levin & Cross, 2004). On point,
Abrams et al. (2003) found that a sense of social ease, built over time by peers relating to each other personally, translated into work-related approachability. Fieldwork reveals that social ties develop through forums, spaces, roles, and protocols that encourage people to cross-pollinate. While gatherings (
Abrams et al., 2003;
Cross et al., 2020) and common workspaces (
Elsbach & Bechky, 2007) facilitate fortuitous encounters, integrating roles and protocols promote the exchange of information across boundaries (
Cross et al., 2020;
Edmondson, 2019;
Jang, 2017;
Long et al., 2013).
A third contextual enabler supports collaborating peers to learn together. Building from the notion that collective learning flows from practicing together, scholars have identified how various tools, processes, and protocols combine to enable active and iterative learning. Typically, those aids include a learning-oriented problem-solving approach. On point,
Hargadon and Sutton’s (1997) seminal study of product development teams at IDEO illustrated how successive rounds of physical prototyping and testing enabled cross-disciplinary experts to innovative together. Edmondson's (
2003,
2012b,
2013) conception, referred to as
execution-as-learning, begins with framing the challenge for learning (as a question to be explored, not a solution to be implemented), followed by preparatory planning and iterative rounds of trial and reflection. Approaches are underpinned by a set of protocols encouraging members to embrace failure, seek diverse input, test with real-time data, and be curious, amongst others. Some approaches embed core roles in the problem-solving methodology—such as facilitators, coaches, or project managers—to guide and align collaborators as they work (e.g.,
Edmondson, 2012a).
Edmondson (2012b) describes these learning aids as scaffolds in that they offer a “light, temporary structure” (p. 77) that equips collaborators to progress together.
Zoomed-Out Approach: Designing the Collaborative Organizational Context
A foundational principle underpinning the zoomed-out approaches is that collaborative success requires a holistically supportive organizational context (
Adler & Heckscher, 2018; Agranoff, 2012;
Fjeldstad et al., 2012; Kezar, 2006;
Kislov et al., 2017). It is well established that organizations must be fit to respond to environmental complexity (
Burns and Stalker, 1961;
Lawrence & Lorsch, 1967) and that highly complex environments require greater interactivity and responsiveness than traditional contexts can afford (
Heckscher & Adler, 2006;
Fjeldstad et al., 2012;
Snow, 2015).
Trist (1977) was one of the earliest voices to discuss the need for a reimaged organization to support the need for greater levels of responsiveness and collaboration. Referring to the environment as the
turbulent field,
Trist (1977) argued that higher levels of interdependence, complexity, and uncertainty were surpassing the capability of the traditional organization to cope. For Trist, collaborative behaviors relied on a new organizational ecology based on participative and democratic principles.
Below, we examine three collaborative workplace frameworks that have evolved to address the need for greater workplace responsiveness and interactivity. Each framework is built from the foundational premise that organizations are comprised of interconnected parts, dynamically interacting with their environments (
Meyer et al., 1993;
Thompson, 1967) and behaving more like an ecology than a machine (
Morgan, 1986). As to the nature of the interconnected parts, each framework conceptualizes the workplace design elements in distinct ways. While the
reconfigurable organization literature (e.g.,
Galbraith, 2010;
Mohrman et al., 1995) specifies how core organizational features enable co-evolving teams and networks to form, link and align, the
workspace ecology literature (e.g.,
Becker, 2004,
2007;
Davis, 2019) emphasizes the importance of physical space alongside supportive technological and social subsystems, and the
collaborative community literature (e.g.,
Adler & Heckscher, 2018;
Heckscher & Adler, 2006) emphasizes a shared, galvanizing purpose and an ethic of contribution.
The Reconfigurable Organization. Working within the tradition of configural analysis, Susan Mohrman and colleagues from the Center for Effective Organizations were among the first scholars to design an organization holistically for collaboration (
Mohrman et al., 1995). Their team-based organization employed
Galbraith’s (1973) organizing elements to generate collaborative capacity. More recently, the expression of the team-based form has evolved to match the needs of today's complex, fast-moving world, with teams forming dynamically (or reconfiguring) around emergent opportunities (
Galbraith, 2010;
Harris & Beyerlein, 2008;
Pasmore et al., 2019; Winby & Mohrman, 2018).
A configural approach to organizational design, as the name implies, views organizations as configurations of elements that align to confer a strategic and/or operational value. Value creation is dependent on the quality of the elements and their coherence (or internal fitness) and how well the configural logic fits with the conditions of the environment (or external fitness) (
Galbraith, 1973,
2006; Miles & Snow, 1984;
Meyer et al., 1993; Miller, 1987;
Thompson, 1967). Over time, a dynamic fitness occurs as internal elements reconfigure to match environmental shifts (e.g., Fjeldstad et al., 2012;
Galbraith, 2010; Miles & Snow, 1984, 2005;
Snow, 2015). Flowing from the core principle that the more dynamic the environment, the more adaptable the form must be (
Burns & Stalker, 1961;
Lawrence & Lorsch, 1967, Miller, 1987), fast-moving environments require reconfigurable organizational forms (
Galbraith, 2010).
As to the makeup of configurations, the elements vary depending on the purpose and focus of the examination (Miller, 1987). Earlier frameworks, for example,
Galbraith’s (1973) star model and
Peters and Waterman’s (1982) 7-S framework, shape generic configurations of strategic, structural, operational, and people-related elements to generate internal fitness matched to environmental conditions. Alternatively, Miles and Snow, and Mintzberg were among early scholars to generate configural typologies to match a firm's strategic positioning (Miles & Snow, 1978; Snow & Miles, 2005) or organizational type (
Mintzberg, 1979). Importantly, the principle of equifinality (Ludwig von Bertalanffy, 1968) assumes cross-firm variation in expressing effective configurations (e.g., Gresov, 1989; Miller, 1987). Below, we employ
Galbraith’s (1973) organizing elements of strategy and structure, integrating processes, and people and rewards, to explore the core components of the reconfigurable form (
Galbraith, 2010).
Beginning with the first set of design elements, strategy and structure, the reconfigurable form is both flexible and stable to enable two kinds of work. The flexible part enables highly emergent strategic work. Via a sophisticated governance framework, leaders scan environmental trends, shape new priorities, and configure teams with the right talents and resources to tackle priorities. With each round of priority setting, as talent is refocused and reassembled to tackle new assignments, the organization is reconfigured (
Galbraith, 2010;
Harris & Beyerlein, 2008;
Pasmore et al., 2019; Winby & Mohrman, 2018). Paradoxically, the stable part provides the platform from which the flexible teams work. A cadre of functional experts builds and aligns the frameworks, tools, business processes, and linking mechanisms to support, equip and align collaborators as they work (
Galbraith, 2010;
Pasmore et al., 2019). Referred to as a co-acting configuration, scholars have identified how distinct yet mutually beneficial configurations within a firm, for example, centralization and decentralization, exploration and exploitation, and stability and innovation (
Grandori & Furnari, 2013), generate a type of organizational ambidexterity (O’Reilly & Tushman 2004).
Gulati and Puranam (2009) refer to the synergistic benefits derived from co-acting configurations as a compensatory fitness, as they combine to generate alternative yet useful sources of value.
The next element, integrating processes, highlights the importance of the stable platform from which collaborators link and align as they work across roles, teams, and units. Integrating mechanisms hold the organization together and bolster efforts across vertical and lateral boundaries (
Galbraith, 2010;
Harris & Beyerlein, 2008; Mohrman et al., 1995;
Pasmore et al., 2019). Vertically, the governance framework scans for environmental drivers, shapes new priorities, and adapts team assignments like “the human body with its sensors feeding information to the brain” (
Pasmore et al., 2019, p. 77). Team chartering approaches populate and resource teams to assume accountability and succeed (
Galbraith, 2010;
Harris & Beyerlein, 2008;
Mohrman et al., 1995). While authority flows to well-equipped local players, cascading goals, performance metrics, and collective forums enable central leaders to provide overall alignment and congruence (
Galbraith, 2010;
Pasmore et al., 2019; Winby & Mohrman, 2018). Laterally, a wide array of integrating mechanisms, including roles (such as project leads and cross-team coordinators), forums for shared interactivity, and communication protocols, underpin how the flexible teams work and align. IT platforms enable teams to share information, integrate and coordinate their work, and track and share progress with relevant others. A collaborative philosophy guides leaders to promote involvement, build trust, develop people, and work collectively (
Galbraith, 2010;
Harris & Beyerlein, 2008;
Mohrman et al., 1995).
The shaping of the final elements, people and rewards, recognizes that members require collaborative skills and orientations to contribute effectively. For example, members are expected to adopt a spirit of mutual helping, attend to team and wider organizational goals, redirect their efforts as new priorities emerge, and work interactively (
Mohrman et al., 1995). While leaders promote involvement, build trust, and nurture essential skills through developmental programs, rewards are tied to the value people create for their teams and the overall business. All efforts promote a system-wide orientation to learning and responsiveness (
Galbraith, 2010;
Pasmore et al., 2019; Winby & Mohrman, 2018). As Mohrman and colleagues (
1995) emphasized years ago: “It is not enough to say that learning is necessary for teams to be effective … Learning is the essence of the team-based organization” (p. 350).
The Organizational Ecology. A second approach to the design of collaborative workplaces puts workspace at the core. While the role of physical space in shaping and affording collaborative interactivity patterns is well established (e.g.,
Allen, 1977;
Porras & Robertson, 1992), scholars taking a whole systems perspective view workspace as an integral element of organizational design (e.g.,
Chan et al., 2007; Davis et al., 2011; Davis,
2019;
Kampschoer et al., 2007). Frank
Becker (2004,
2007), a pioneer of the movement, has conceptualized the workplace as an organizational ecology in which social, technological, and physical subsystems interrelate to create more collaborative and innovative workplaces. Building from its socio-technical system design (STS-design) root system (e.g.,
Davis, 2019; Pava, 1983), a wealth of scholarship explores how the design of workspace affords employee attitudes and behaviours through multiple avenues, from practical to symbolic (e.g.,
Alexander & Price, 2012;
Ayoko, & Ashkanasy, 2019). Below we examine the features of the organizational ecology through the STS principles of eco-diversity, dynamic coherence, and quality of work life.
Foundationally, the well-designed organizational ecology requires coherence and dynamism, whereby physical space is one of several co-evolving elements that support how individuals work and interrelate. Having recognized the nonroutine nature of knowledge work, Pava (1983) focused the well-designed STS on advancing workers’ ability to deliberate—to reflect, ponder, question and experiment—and do so, as needed, in discretionary coalitions. Pava understood that knowledge-based work benefited from people with diverse perspectives and abilities joining together opportunistically to share knowledge, experiment, probe, and problem solve (
Austrom & Ordowich, 2018). With that shift, the work itself and its deliberative nature became the driving force of STS design (
Austrom & Ordowich, 2018) to afford useful interactivity patterns for knowledge sharing, problem-solving, and innovation (
Becker, 2007;
Davis, 2019; Pava, 1983). To meet changing priorities, the organization is cast as being in perpetual motion as employees adopt and adapt relevant social, technical, and spatial features in mutual support (Pava, 1983). In turn, those spatial, technological, and social advances transform how people work, connect, and engage (
Becker, 2004,
2007;
Chan et al., 2007;
Davis, 2019;
Horgen et al., 1999;
Kampschoer et al., 2007).
A second principle, referred to by
Becker (2007) as eco-diversity, posits that organizational ecologies must accommodate and adapt to a wide range of ever-evolving purposes (
Davis, 2019). Those purposes encompass the need for knowledge workers to deliberate independently and collectively for easy exchange, discussion, and problem-solving. Such deliberative encounters can be planned or opportunistic, ranging from short bursts of interactivity to more formal and ongoing efforts (
Heerwagen et al., 2004, Pava, 1983). To accommodate the many ways that peers work together, designing to a ‘minimal critical specificity’ ensures that spaces, technologies, and protocols allow people to choose where, when, and how they will work (
Davis, 2019, Pava, 1983).
A wealth of scholarship examines how workspace design affords the many ways that knowledge workers interact and collaborate.
Shared awareness, a general sense of being in-tune and ready for interactivity, is enhanced through greater transparency (
Becker, 2007) and permeable boundaries (
Davis, 2019) afforded by protocols, practices, and workspaces that enable information, knowledge, and decisions to flow widely (e.g.,
Hua et al., 2011).
Brief interactions, or quick and unplanned exchanges, are bolstered through a supportive relational network whereby people feel safe to reach out to others for help (e.g.,
Heerwagen et al., 2004). Whereas work pods designed to human scale (
Becker, 2007) promote the necessary socialization for easy exchange, neutral zones stretch people to mix beyond their home locales to widen the circle for fortuitous encounters (e.g.,
Hua et al., 2011).
Working together, the highest form of interactivity requires easy access to well-equipped private workspaces—such as project rooms and breakout spaces with whiteboards and other tools—to afford collective problem solving, prototyping, and decision making (
Becker, 2007;
Davis, 2019;
Heerwagen et al., 2004;
Hua et al., 2011). The development of virtual features—from spaces for peers to serendipitously meet to private spaces for targeted interactions—are increasingly employed to connect colleagues working remotely and with their locally situated peers (e.g.,
O’Hara et al., 2011).
Enhancing the quality of work-life is a third principle inherent to the well-functioning organizational ecology, stemming from
Trist and Bamforth’s (1951) early discovery that technical performance and worker morale are inextricably linked (
Danielsson, 2019;
Davis, 2019). As referenced earlier, workspaces matched to the interactivity needs of peers can be morale boosters by promoting communication flows, engagement, and social ease (e.g.,
Becker, 2007;
Heerwagen et al., 2004). Well publicized examples of firms employing the design of workspaces to bolster their innovative and collaborative work practices and technologies include Google, 3M, and IDEO, amongst others (
Danielsson, 2019;
Fuzi, Clifton & Loudon, 2014; Groves, 2010). However, fieldwork also shows how ill-considered spatial features can create stress, overload and disruption by negating workers’ needs for quiet time, privacy, and control (e.g.,
Hua et al., 2011;
Danielsson, 2019;
Davis et al., 2011). As discussed earlier, scholars stress that these unintended burdens are not due to the office features per se, but rather to their mismatch with work approaches, relationships, and technologies (e.g.,
Becker, 2007;
Davis et al., 2011;
Elsbach & Pratt, 2007).
The Collaborative Community. Scholars employing a community logic base for the collaborative workplace argue that communities are uniquely designed to generate the high levels of commitment and collaboration required to adapt and innovate in a dynamic landscape. Comparing bureaucracies, markets, and communities,
Adler & Heckscher (2018) reason that hierarchies are built for coordination to achieve pre-set goals from layers above and markets for independent actors to optimize exchange-based gains. Only communities, they suggest, are designed to promote self-organizing efforts around collective goals and outcomes. Alongside Adler and Heckscher (
Adler, 2001;
Adler & Heckscher, 2018;
Adler et al., 2008;
Heckscher & Adler, 2006;
Heckscher, 2007), a wide group of co-contributors have extended the notion of community within (e.g.,
Fjeldstad et al., 2012; Kolbjornsrud, 2018) and across firms and networks (e.g.,
Gulati et al., 2012;
Snow et al., 2011,
Snow, 2015).
Communities rely on trust-based relationships, communal values, and a set of practical integrating mechanisms to enable members to dynamically form around challenges and opportunities and access the necessary resources while doing so (
Adler et al., 2008;
Heckscher & Adler, 2006;
Heckscher, 2007;
Fjeldstad, et al., 2012;
Snow, 2015). Below, we explore common features of community-based organizing, including a shared guiding purpose and value of helpfulness, a set of integrating mechanisms to equip and guide collaborators, and practices to promote people's collaborative competence and orientation.
Shared purpose is a foundational organizing principle of the collaborative community, building from
Selznick's (1957) notion that community forms as people co-create shared value (
Adler & Heckscher, 2018;
Snow et al., 2011).
Adler and Heckscher (2018) argue that collaborative organizations require a
distinctly collaborative type of purpose. Purpose, they suggest, must be central to organizational life by being “deliberate” to unify and motivate efforts around shared aims and guide the formation of strategic priorities and “deliberated” (p. 21) to guide collaborators as they wrestle with the realities of real-world dilemmas. Alongside purpose, shared values set the foundation for mutuality and reciprocity amongst members. Essentially, a collective sense of trust (e.g., Ostrom, 1990) that others are willing and able to help, coupled with a sense of membership, sets the tone for outreach and helping activities as people work interchangeably (
Adler & Heckscher, 2018;
Fjeldstad et al., 2012; Kolbjornsrud, 2018;
Snow et al., 2011;
Snow, 2015).
To scale collaboration widely, integrating mechanisms enable people to link and align effectively within and across projects. Interactive processes provide a set of community designed tools, protocols, technologies, and roles to enable information and knowledge exchange, as well as the pooling and sharing of resources, tracking and sharing of progress, development of collective work products, coordination of efforts, and formation of collective decisions (
Adler & Heckscher, 2018;
Adler et al., 2008;
Adler et al., 2011;
Fjeldstad et al., 2012;
Galbraith, 2010). While central roles may exist to aid aligned progress, power and authority flow to those viewed as best suited and situated to contribute (
Adler & Heckscher, 2018;
Galbraith, 2006,
2010; Kolbjornsrud, 2018). By way of example, Jay
Galbraith (2006), also a contributor to collaborative communities, described how leaders in the companies he studied derived their effectiveness more from their reputational skills as enablers and trust builders than from their formal roles.
A final element, the design of practices to select for, develop, and motivate collaborative behaviors, recognizes the nuanced set of skills collaborators require to work effectively in an interconnected and agile setting (
Adler & Heckscher, 2018;
Fjeldstad et al., 2012;
Galbraith, 2010;
Snow, 2015). Those skills require actors to think about and contribute to the wider aims, integrate their domain knowledge, and flex to shifting priorities, as cultivated through the example of leaders and influential others, rewards, and stretch experiences (
Adler & Heckscher, 2018).
An Evidence-Based Lens for Inquiry. A zoomed-in view of how collaboration manifests across boundaries reveals collaboration as a co-evolving, learning-oriented effort that forms at the nexus of need and attracts the necessary talent as the work unfolds. Three elements created an enabling context for collaborative dynamism. Whereas local autonomy enabled the players to mix freely and problem-solve, a social-relational climate of helpfulness engendered trust and boundary-spanning interactivity, and learning-oriented approaches supported collaborators to exchange and integrate knowledge.
By zooming out, the literature revealed a range of organizational elements that clustered into five general categories 1) a shared purpose and strategy to align collaborators around a common cause and high priority work, 2) a welcoming, trust-based social climate promoting values related to mutuality and reciprocity, 3) integrating mechanisms including work-related tools to guide and equip collaborators and linking roles, forums and processes to align efforts, 4) the design of physical space to afford easy connectivity, and 5) people practices to reward, promote, and develop collaborative contributions. Importantly, the elements and their importance took on a different flavor in each conceptualization. The collaborative community framework (e.g.,
Adler & Heckscher, 2018;
Heckscher & Adler, 2006) emphasized a shared, galvanizing purpose and a community-minded ethic of contribution. The organizational ecology literature (e.g.,
Becker, 2004,
2007;
Davis, 2019) emphasized the importance of physical space alongside supportive technological and social systems. The reconfigurable organization approach (e.g.,
Galbraith, 2010;
Mohrman et al., 1995) specified core organizational features to form and align co-evolving teams to serve ever-shifting opportunities. All frameworks are built from the recognition that a dynamic marketplace requires greater interactivity and innovation than traditional contexts can afford.
Together these insights offered a preliminary lens from which to explore collaborative efforts and the collaborative work setting, yet questions remain. The first concerns the elements of the collaborative ecosystem and how they cohere. While the zoomed-out frameworks share elements in common, no framework incorporates all factors, and each builds from a different logic. The question becomes, what organizational elements are essential to shaping the collaborative firm, and might there be a comprehensive integrating logic? A second concerns the centrally and/or locally led nature of cross-boundary collaboration. The zoomed-in literature promoted a view of collaboration as organic, peer-led encounters afforded by empowered peers and welcoming social climates. Alternatively, the zoomed-out literature emphasized centrally guided features, including an overarching purpose and strategic priorities, governance systems, formal linking roles and forums, and enabling managerial and operational processes. The question becomes, is collaboration centrally or organically driven, or both? If both, how are the efforts aligned? Relatedly, there is a need for a thorough illustration of what those elements look like in practice to demonstrate their practical applicability (e.g.,
Chan et al., 2007). These questions guided our field-based inquiry.