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In this chapter we examine various human resource management (HRM) implications involved in the leadership of fluid teams. Leadership of fluid teams, which are distinguished by their dynamic composition, requires consideration of issues that may not be as pertinent for stable teams. In particular, we focus on the concept of familiarity. Composing and leading teams with members exhibiting varying degrees of familiarity with one another creates obstacles to effective and efficient functioning and may ultimately lead to poor performance. With this in mind, leaders must pay particular attention to issues of coordination, and composition such that a broad range of generalizable teamwork skills exists within the team. Within this chapter, we explain the concepts of fluid teams, team leadership within fluid teams, and other relevant concepts related to the formation of familiarity. Next, we thoroughly review extant empirical and theoretical research within these areas. We identify areas of correspondence among the various concepts and findings of the reviewed studies and generate an integrated model of fluid team leadership. To conclude, we highlight the distinct HRM implications associated with the use, and leadership, of fluid teams.

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

This chapter explores the multiplicity, formation, and porosity of organizational boundaries in new, fluid forms of production. Conceptualizing them as “partial organizations,” we argue that both the intentional design of organizational elements (such as membership, hierarchy, rules, monitoring, and sanctioning) as well as unintended adjustments of “unorganized” aspects drive boundary formation and impact boundary porosity. In addition, we contend that structuring dynamics will create specific trajectories for boundaries over time. Empirically, we further our theoretical framework on the basis of an in-depth case study of the Apache open-source software community during its formative years (1995–2002). We find that both the salience and formalization of boundaries increase over time. However, different conceptions of boundaries (such as efficiency, competence, power, and identity) become salient at different points in time. While design and adjustment drive boundary formation with regard to all boundary conceptions in our empirical case, porosity develops differently for each of them. We also demonstrate that the formalization of boundaries does not necessarily reduce boundary porosity, but actually may increase it.

This paper deals with the organizing of interactive product development. Developing products in interaction between firms may provide benefits in terms of specialization, increased innovation, and possibilities to perform development activities in parallel. However, the differentiation of product development among a number of firms also implies that various dependencies need to be dealt with across firm boundaries. How dependencies may be dealt with across firms is related to how product development is organized. The purpose of the paper is to explore dependencies and how interactive product development may be organized with regard to these dependencies.

The analytical framework is based on the industrial network approach, and deals with the development of products in terms of adaptation and combination of heterogeneous resources. There are dependencies between resources, that is, they are embedded, implying that no resource can be developed in isolation. The characteristics of and dependencies related to four main categories of resources (products, production facilities, business units and business relationships) provide a basis for analyzing the organizing of interactive product development.

Three in-depth case studies are used to explore the organizing of interactive product development with regard to dependencies. The first two cases are based on the development of the electrical system and the seats for Volvo’s large car platform (P2), performed in interaction with Delphi and Lear respectively. The third case is based on the interaction between Scania and Dayco/DFC Tech for the development of various pipes and hoses for a new truck model.

The analysis is focused on what different dependencies the firms considered and dealt with, and how product development was organized with regard to these dependencies. It is concluded that there is a complex and dynamic pattern of dependencies that reaches far beyond the developed product as well as beyond individual business units. To deal with these dependencies, development may be organized in teams where several business units are represented. This enables interaction between different business units’ resource collections, which is important for resource adaptation as well as for innovation. The delimiting and relating functions of the team boundary are elaborated upon and it is argued that also teams may be regarded as actors. It is also concluded that a modular product structure may entail a modular organization with regard to the teams, though, interaction between business units and teams is needed. A strong connection between the technical structure and the organizational structure is identified and it is concluded that policies regarding the technical structure (e.g. concerning “carry-over”) cannot be separated from the management of the organizational structure (e.g. the supplier structure). The organizing of product development is in itself a complex and dynamic task that needs to be subject to interaction between business units.

A Novartis social business in India completely separated the activities of its social and business units—the former engaging in raising the health awareness of villagers and encouraging them to visit free health camps, while the latter developed affordable medicine delivered directly to village pharmacies. Connections between these units were made through open and fluid market-type mechanisms, and by appealing to the needs and interests of villagers with incentives. This synchronized business model was developed partly because Novartis believed in villagers' self-initiated behavior for health improvements, which made it not interfere into marginalized institutions, and more significantly because it used its internalized control and coordination systems with clear goals of social contribution in operating the business unit. Consequently, Novartis achieved economies of scale, business sustainability, and social contribution.

The chapter presents a theoretical framework that deals with the basic question of how networks and industries coevolve. We draw upon the structural and relational perspectives of networks to theorize about changes occurring in interfirm networks over time and the coevolutionary linkage of these changes to the industry life cycle. We further extend the widely accepted industry life cycle model by claiming that industry-specific evolutionary patterns impact the structure of the network’s relations, which in turn lead to diversification in the sources of innovation and to variation in the patterns of industrial evolution.

Past research involving turnover in work teams has largely focused on turnover as a dependent variable. With the growing trend towards more fluid, project-based teams, the effects of team membership changes on team processes and outcomes are in need of theoretical development and systematic study. Building on previous work by others (e.g. Arrow & McGrath, 1995; Marks, Mathieu & Zacarro, 2001), we develop a framework for understanding the effects of the rate of membership change, or team fluidity, on emergent states and processes in teams. Specifically, we: (a) discuss the theoretical underpinnings of team fluidity; (b) review past team research involving turnover; (c) make theoretically-grounded propositions about the effects of team fluidity on emergent states and process variables as well as additional propositions about boundary conditions; (d) discuss implications for human resource management practices; and (e) identify methodological challenges, including measurement issues, in studying team fluidity.