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“Mirror Worlds” were suggested by David Gelernter based on a bold assertion: “You will look into a computer screen and see reality.” With mirror worlds, managers could be proactive, anticipating what might happen and acting accordingly, instead of waiting till events happen and then reacting. This paper extends the notion of mirrors worlds to supply chain management. In the case of supply chain management, managers could test the impact of making changes in their supply chains to study the impact.

However, mirror worlds could be extended to help actually monitor and manage supply chains to respond and adapt to changes in the world that affected the supply chain. In particular, mirror worlds could be “real” worlds if control for some of the activities between supply chain participants is in effect “turned over” to the mirror world. In that case, the mirror world would show the actual world, with the system making many of the decisions.

Destinations have in the scholarly literature been labeled as communities of interdependent organizations that collectively coproduce a variety of products and services. The paradigm comes close to describing destinations as firms which are embedded in interfirm networks. Recent studies provide crucial insights into an understanding of destinations' orchestration and structuration as coproducing interfirm networks. However, systematic knowledge about how these systems evolve and develop is lacking. This chapter addresses this issue and elaborates how the concepts of scale-free and small-world networks together can explain the process of destination evolution. The discussion also suggests how such theorizing can spur avenues for future research.

A small-world network is a type of network structure in which nodes are highly clustered and at short distances without being directly linked. This article analyzes whether the network of interlocking directorates among the largest Brazilian corporations follows a small-world network structure and if the small-world properties (high clustering and short distance between nodes) influence the occurrence of M&A at the domestic and international level.

The authors tested hypotheses regarding the relationship between small-world network properties and M&A based on a sample of large publicly-listed corporations in Brazil for the time series of 2000–2015 and using network analysis and regression techniques (probit and OLS).

The results show that while the Brazilian corporate network fits the small-world features of high clustering and short path lengths, only the distance among connected firms has a significant effect on international M&A: the shorter the distance between firms, the more likely firms undertake M&A abroad. Moreover, being integrated into the main component has a significant positive effect on national and international M&A. These findings suggest that the information and knowledge to undertake M&A can be better acquired by belonging to large business communities and not local cohesive clusters.

This research contributes to theories and ongoing debates about the network effects on organizational decisions and the determinants of M&A in emerging markets. In addition, this is the first study to analyze the impact of small-world networks on international M&A while controlling for country-level variables.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

The purpose of this paper is to identify and explore the dynamics of an emerging form of teaching and learning – social network knowledge construction – associated with the use of social networks, particularly 3D virtual world environments such as Second Life. As social network technologies not only frame the way individuals interact and learn, but actually impact on a learner's thinking process and development of future consciousness, new pedagogies are needed to effectively integrate these communication mechanisms into the learning environment.

The paper discusses the purpose and potential use of these networks in the teaching and learning process. Distinguishing features of social network knowledge construction as an emerging pedagogy are identified.

Strategies for incorporating a variety of identified social networks, both in and out of virtual worlds, for teaching and learning are noted.

The focus of this emerging pedagogy is framed within the social networks surrounding Second Life, in particular, although the pedagogical framework could be applied across any set of social networking or virtual world applications.

The paper provides critical information currently required by the early to mid‐adopters of social networks and virtual worlds for teaching and learning.

This paper identifies an emerging form of pedagogy that has yet to be fully discussed in the literature, and supports the present issue's emphasis on future‐focused learning.

The present study increases our understanding of strong power in exchange networks by examining its incidence in complex networks for the first time and relating this incidence to characteristics of these networks. A theoretical analysis based on network exchange theory (e.g., Willer, 1999) suggests two network characteristics predicting strong power; actors with only one potential exchange partner, and the absence of triangles, that is, one's potential exchange partners are not each other's partners. Different large-scale structures such as trees, small worlds, buyer–seller, uniform, and scale-free networks are shown to differ in these two characteristics and are therefore predicted to differ with respect to the incidence of strong power. The theoretical results and those obtained by simulating networks up to size 144 show that the incidence of strong power mainly depends on the density of the network. For high density no strong power is observed in all but buyer–seller networks, whereas for low density strong power is frequent but dependent on the large-scale structure and the two aforementioned network characteristics.

Many networks take a small-world structure, with a high degree of clustering and shortcut ties that reduce the path-length between the clusters. It can be argued that small-world networks have benefits that are simultaneously related to network closures and the spanning of structural holes, but research on the network members’ performance is nonetheless inconclusive. The purpose of this paper is to argue that the concept of resource idiosyncrasy can explain the mixed findings. Firm idiosyncratic resources are not easily generalizable across enterprises.

Industries may vary in terms of resource idiosyncrasy, and the paper elaborates how this can moderate shortcut ties’ effect on performance in an inter-firm network.

If resource idiosyncrasy predominates in an industry, the paper proposes that inter-firm shortcut ties may increase performance, whereas shortcut ties may decrease performance if non-idiosyncratic resources predominate.

Applying the concept of resource idiosyncrasy as a moderating variable, the paper aims to explain shortcut ties’ effect on performance in an inter-firm network. The theory advanced here can have practical implications and also motivate future empirical studies to gain further knowledge about small-world networks’ effect on performance.

Companies inevitably interact and entrench in complex organic systems of business relationships with other. These business networks are not objectively defined, instead they are shaped by the subjective perception of actors. This inherent subjectivity is associated with the notion of network pictures, that is, a research tool that researchers or managers can use to grasp practitioner theories. In this chapter, we discuss how the importance of identifying these theories results mainly from underlying principles of sense-making theory, as well as from the idea around performativity. Drawing on these theoretical groundings, this chapter has two objectives: to explore how practitioners actually perceive their business surroundings and to assess the extent of overlapping between (IMP Group) academic theories and practitioner theories. To achieve these objectives, the researchers use a dimensional network pictures model previously developed in the literature to analyze the network pictures of 49 top-level managers across 17 companies from two very distinct contexts or networks: a product-based network and a project-based network. Among other practices, findings illustrate how practitioners tend to simplify what is going on in their complex surroundings, to personalize their relationships with those surroundings, and to think in a stereotyped way. Moreover, the juxtaposition between the captured practitioner theories and academic (IMP Group) theories show that these are not always overlapping, and are in some cases quite the opposite. This research contributes to the ongoing discussion of the importance of grasping actors’ views of the world, arguing that sense-making theory and the notion of performativity are the two main conceptual drivers justifying the urgency in making those views more visible. This research also adds to the research on the impact and suitability of IMP Group theories on managerial thinking and practice. Finally, this research reinforces the current call for further practice-based research in business network contexts.

Syndicated investments in startups within a particular industry follow an evolutionary path consistent with models of industry growth and evolution. Some industries spend a long time gestating, while others grow and mature quickly. Entry into ecommerce industry segments has both characteristics. What spurred the sector's slow emergence and subsequent quick rise? One obvious answer is the development of the Internet in the mid-1990s. However, a competing possibility is that the diffusion pattern resembles an epidemic among venture capital firms. This chapter examines how the existing structure of the VC syndication network in the US enabled such an epidemic. Consistent with existing theory on the spread of a disease in a small world, this study argues that the incidence of investments in ecommerce startups was a function of prior investments located on shortcuts in the network. The time frame is 1980 to just before the NASDAQ boom in 1999.