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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.

The railway track system is the platform by which loads from moving trains are transferred to the underlying soil or supporting infrastructure such as bridges. The most common type of railway track system is ballasted track, which has been in use for over a century. Ballasted track has proved versatile. It can be constructed using locally available materials and with modifications to the rails and sleepers, crossings transferring trains from one route to another can be created. The structure of a ballasted track system consists of two main parts. The upper portion, termed the superstructure, comprises the rails, fastenings and sleepers. It is formed of components whose shape, stiffness and strength are designed and closely controlled. Below the superstructure is the substructure, which comprises the ballast and sub-ballast. Although the materials used in the substructure may have been specified, their engineering properties and geometric placement are less well controlled. In this chapter, we will explore how a typical ballasted track system transfers load to the ground and the ways in which the track form deteriorates, requiring maintenance and eventually renewal.

The purpose of this chapter was to describe the development of an early childhood learning network and to understand that development through the lens of complexity theory and trans-organization development. It explores the unfolding dynamics and emerging meaning that became central to facilitating the design, development, and implementation of the complex multi-stakeholder network.

The chapter identifies 12 implications from complexity theory for practitioners of trans-organization development, and then applies those implications to the process and understanding of development stages of an NP’s early childhood education network.

The use of complexity theory as a framework allowed for identifying five key observations and conclusions, in particular the significant role that meaning-making dialogue holds as a driver of common understanding and engagement among stakeholders. Additionally, the use of building responsive processes, understanding contextual shift, impact of power as an attractor pattern, and capacity of flexibility and adaptability all become essential elements of complex network leadership.

The findings of this chapter will help trans-organization development practitioners and leaders alike. Both the implications and lessons learned will assist in building the capacity of leaders and practitioners as a means of improving effectiveness in dealing with emerging dynamics and leading in unknown contexts and complex contexts environments.

This chapter presents a novel human arm gesture tracking and recognition technique based on fuzzy logic and nonlinear Kalman filtering with applications in crane guidance. A Kinect visual sensor and a Myo armband sensor are jointly utilised to perform data fusion to provide more accurate and reliable information on Euler angles, angular velocity, linear acceleration and electromyography data in real time. Dynamic equations for arm gesture movement are formulated with Newton–Euler equations based on Denavit–Hartenberg parameters. Nonlinear Kalman filtering techniques, including the extended Kalman filter and the unscented Kalman filter, are applied in order to perform reliable sensor fusion, and their tracking accuracies are compared. A Sugeno-type fuzzy inference system is proposed for arm gesture recognition. Hardware experiments have shown the efficacy of the proposed method for crane guidance applications.

This chapter provides an insider perspective on the Quantified Self (QS) community. It is argued that the overall approach and methods used in the QS community have not been adequately described. Consequently, the aim of the chapter is to give an account of the work performed by self-trackers in what we coin the 1-Person-Laboratory (1PL). Additionally, the chapter describes other aspects of the 1PL, for example the methods, procedures and instrumentation that are being used and the knowledge sharing taking place in the QS community. With a point of departure in empirical cases it is demonstrated how QS self-trackers put their own questions, observations and subjective experience front and centre by using their own instrumentation and data sets in their personal laboratories. In the 1PL, the causalities that are looked for are not aimed at generalisation to an entire population; on the contrary, the causal connections on the level of the person are essential for discovery by the individual.

I review the burgeoning literature on applications of Markov regime switching models in empirical finance. In particular, distinct attention is devoted to the ability of Markov Switching models to fit the data, filter unknown regimes and states on the basis of the data, to allow a powerful tool to test hypotheses formulated in light of financial theories, and to their forecasting performance with reference to both point and density predictions. The review covers papers concerning a multiplicity of sub-fields in financial economics, ranging from empirical analyses of stock returns, the term structure of default-free interest rates, the dynamics of exchange rates, as well as the joint process of stock and bond returns.