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Organizational researchers live in two worlds. The first demands and rewards speculations about how to improve performance. The second demands and rewards adherence to rigorous standards of scholarship (March & Sutton, 1997, p. 698).Those of us who study organizations and are professors of management work on the front lines, so to speak, where the beliefs we have about how to improve managerial performance get passed directly on to practitioners. The question is, What right do we have to put our beliefs in a privileged position? Beliefs, by definition, are supposed to be true. According to Webster’s (1996) a belief is a conviction about the truth of some statement and/or reality of some phenomenon, especially when based on examination of evidence. Are all of our lectures based on consensually agreed upon evidentiary standards? What are these standards and who should maintain them?

This paper proposes to rethink the concepts of relevance and usefulness and their relation to the theory–practice gap in management research.

On the basis of the cognitive-linguistic relevance theory or inferential pragmatics, supplemented by insights from information science, we define relevance as a general conceptual category, while reserving usefulness for the instrumental application in a particular case.

There is no reason to hold onto the difference between theoretical and practical relevance, nor to distinguish between instrumental and conceptual relevance.

This novel approach will help to clarify the confusion in the field and contribute to a better understanding of the added value of management research.

Technology‐based new ventures (TNVs) – which rely on entrepreneurial activities based on science and technology applications in newly created organizations to be successful – are important to current economic growth and innovation. Past research has looked at the importance of networks and social capital to TNV performance. Yet these studies rarely provide theoretical predictions of the attributes of network ties. This paper aims to bring TNV theory up to date with respect to twenty‐first century adaptation and complexity conditions.

The paper draws on new developments in complexity science (specifically scalability and scale‐free theories) and long‐standing first principles of efficacious adaptation to develop TNV‐relevant theory offering an alternative perspective on the impact of network ties on the performance of TNV.

It is argued that TNVs can achieve superior performance by developing and building moderate numbers of short‐term (and thereby weak) network ties. The theorizing calls for a new research agenda pertaining to TNVs, which are delineated. The paper also develops four propositions as part of setting forth an agenda for future research.

The paper updates the entrepreneurship and social network literatures by reshaping them with respect to the nonlinear order‐creation dynamics of complexity theory and scale‐free dynamics of econophysics. It focuses on the aspects of network theory that are especially likely to set in motion the complex adaptive systems dynamics essential to TNV performance. Therefore, the conceptual framework contributes to TNVs as a guide to achieving higher performance, effectiveness, and longevity in a rapidly changing world.

The potential advantage of extreme value theory in modeling management phenomena is the central theme of this paper. The statistics of extremes have played only a very limited role in management studies despite the disproportionate emphasis on unusual events in the world of managers. An overview of this theory and related statistical models is presented, and illustrative empirical examples provided.

Existing literature acknowledges information systems development (ISD) to be a complex activity. This complexity is magnified by the continuous changes in user requirements due to changing organizational needs in changing external competitive environments. Research findings show that, if this increasing complexity is not managed appropriately, information systems fail. The paper thus aims to portray the sources of complexity related to ISD and to suggest the use of complexity theory as a frame of reference, analyzing its implications on information system design and development to deal with the emergent nature of IS.

Conceptual analysis and review of relevant literature.

This article provides a conceptual model explaining how top‐down “official” and bottom‐up “emergent” co‐evolutionary adaptations of information systems design with changing user requirements will result in more effective system design and operation. At the heart of this model are seven first principles of adaptive success drawn from foundational biological and social science theory: adaptive tension, requisite complexity, change rate, modular design, positive feedback, causal intricacy, and coordination rhythm. These principles, translated into the ISD context, outline how IS professionals can use them to better enable the co‐evolutionary adaptation of ISD projects to changing stakeholder interests and broader environmental changes.

This paper considers and recognizes the different sources of complexity related to ISD before suggesting how they could be better dealt with. It develops a framework for change to deal with the emergent nature of ISD and enable more expeditious co‐evolutionary adaptation.

The purpose of this paper is to critically analyze whether supply networks may be validly treated as complex adaptive systems (CAS). Finding this to be true, the paper turns into the latest concerns of complexity science like Pareto distributions to explain well‐known phenomena of extreme events in logistics, like the bullwhip effect. It aims to introduce a possible solution to handle these effects.

The method is a comparative analysis of current literature in the fields of logistics and complexity science. The discussion of CAS in supply networks is updated to include recent complexity research on power laws, non‐linear dynamics, extreme events, Pareto distribution, and long tails.

Based on recent findings of complexity science, the paper concludes that it is valid to call supply networks CAS. It then finds that supply networks are vulnerable to all the nonlinear and extreme dynamics found in CAS within the business world. These possible outcomes have to be considered in supply network management. It is found that the use of a neural network model could work to manage these new challenges.

Since, smart parts are the future of logistics systems, managers need to worry about the combination of human and smart parts, resulting design challenges, the learning effects of interacting smart parts, and possible exacerbation of the bullwhip effect. In doing so, the paper suggests several options concerning the design and management of supply networks.

The novel contribution of this paper lies in its analysis of supply networks from a new theoretical approach: complexity science, which the paper updates. It enhances and reflects on existing attempts in this field to describe supply networks as CAS through the comprehensive theoretical base of complexity science. More specifically, it suggests the likely vulnerability to extreme outcomes as the “parts” in supply networks become smarter. The paper also suggests different ways of using a neural network approach for their management – depending on how smart the logistics parts actually are.

Research on multinational corporations (MNCs) shows that they have tried various structural solutions to solve the dilemma of trying to “balance” global control and efficiency with local country-specific sensitivity, autonomy, and innovation, with the Transnational form preferred. Failings of the strategy-structure sequence lend credence to the emerging strategy-process perspective. To date, the best lesson for MNC strategy-process concerns pertaining to the global vs. country dilemma comes from March's classic paper on “balancing” exploitation vs. exploration. 21st century MNCs exist in a more rapidly changing world, however, where static “balance” solutions may be insufficient. The tradition of “circular organizing” is one alternative to the failing “balance” solution; it offers a dynamic strategy-process approach to MNC management. Another is Dupuy's concept of “tangled hierarchies” where top-down and bottom-up influence forces are interwoven such that global exploitation or country-specific exploration dominates in timely fashion. It calls for clearly defined control and autonomy regimes, with space given for emergent rules governing the rotation rate. Key questions are: What is the optimal rate at which they should rotate supremacy, and how to get this to happen and persist? Since normal quantitative methods can’t track complex, nonlinear, emergent phenomena, an in-depth longitudinal case analysis was conducted of a global MNC in the cosmetics industry, as it progressed through its early years of formation. Our case covers twelve years, during which the MNC goes through several kinds of tangled hierarchies. The dynamics in our case are rich enough to illustrate many aspects of the “tangled hierarchy” approach, while also offering new clues about oscillation rates. A number of implications for managers are discussed. Principal among these is the “edge of chaos” idea, in which managers have to avoid too-fast or too-slow oscillation rates. Very fast rates can degenerate into chaos and then collapse into the exploitation or exploration “traps.” Firms also fall into the traps simply because managers don’t understand or can’t tolerate the idea of oscillation dynamics.

MOST days, newspapers and TV tell us how yet more plants are closing down with a stated loss of jobs. There is another side to the picture that unfortunately is often lost in small paragraphs tucked away in a corner or to be found only in the columns of trade journals. They are the stories of the new factories opening, of new opportunities for those who are ready to seize them.

The purpose of this paper is to identify complementarities between the approaches of population ecology and evolutionary economics in order to contribute to a synthesis of organizational evolutionary dynamics and its implications for a strategic management research model. Using the metatriangulation technique to construct theories, we attempt to entwine these two perspectives. The proposed model is structured in two dimensions: the environmental selective system and the corporate adaptation process. The environmental selective system gathers together the complementary factors presented by evolutionary economics and ecology: technological innovation, demographic processes, environmental dynamism, population density and other institutional processes, and interpopulation dynamics. As ecology does not encompass the corporate adaptation process (generation, selection, and propagation of variations), the proposed model adopts the theoretical grounds underpinning evolutionary economics. The model offers three main contributions for future research into strategic management. First, it allows the development of descriptive and normative studies of the relationship among the environmental selection factors and the different types of enterprise strategies. Second, the proposed conceptual framework may be very beneficial for studies of interorganizational learning. Third, the model has the advantage of responding to the criticism of strategy theories in terms of their inability to generalize.

The premise for this volume is that there is “a need to develop a Handbook that takes scholars and practitioners through the paradigm change going on in the field of management and organizational inquiry.” In their invitation to contributors, the editors suggested we should comment on this transition and inform readers of theoretical and philosophical changes that have occurred in recent times. In this chapter, we attempt to do this by revisiting the influential concept of paradigm from the philosophy of science (Kuhn, 1962, 1970) and explore its relation to recent contributions to postmodern social theory in organizational analysis. In particular, the influential paradigm model of Burrell and Morgan (1979) is revisited through meta-theoretical analysis of the major intellectual movement to emerge in organization theory in recent decades, post-structuralism and more broadly postmodernism. Proposing a retrospective paradigm for this movement we suggest that its research can be characterized as ontologically relativist, epistemologically relationist, and methodologically reflexive; this also represents research that can be termed deconstructionist in its view of human nature. Consequently we demonstrate not only that organizational knowledge stands on meta-theoretical grounds, but also how recent intellectual developments rest on a qualitatively different set of meta-theoretical assumptions than established traditions of agency and structure.