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This study aims to assess whether similar user populations in the Internet produce similar geographical traffic destination patterns on a per‐country basis.

The authors collected a country‐wide NetFlow trace, which encompasses the whole Spanish academic network. Such a trace comprises several similar campus networks in terms of population size and structure. To compare their behaviors, the authors propose a mixture model, which is primarily based on the Zipf‐Mandelbrot power law to capture the heavy‐tailed nature of the per‐country traffic distribution. Then, factor analysis is performed to understand the relation between the response variable, number of bytes or packets per day, with dependent variables such as the source IP network, traffic direction, and country.

Surprisingly, the results show that the geographical distribution is strongly dependent on the source IP network. Furthermore, even though there are thousands of users in a typical campus network, it turns out that the aggregation level which is required to observe a stable geographical pattern is even larger.

Based on these findings, conclusions drawn for one network cannot be directly extrapolated to different ones. Therefore, ISPs' traffic measurement campaigns should include an extensive set of networks to cope with the space diversity, and also encompass a significant period of time due to the large transient time.

Current state of the art includes some analysis of geographical patterns, but not comparisons between networks with similar populations. Such comparison can be useful for the design of content distribution networks and the cost‐optimization of peering agreements.

Extreme events undermine progress toward social sustainability and require an immediate response from the private sector. The authors propose a two-dimensional framework (response time and the scope of activities to the various stakeholders) to benchmark firms’ effectiveness in mitigating the threats to social sustainability post-disaster. This framework allows establishing a taxonomy of corporate emergency responses. Within such a framework, the authors group 218 corporate actions from 111 companies operating in Spain during the COVID-19 pandemic into four corporate relief strategies: symbolic, selective, reactive, and supportive. The authors show how companies can use this framework as a guide to foster social sustainability in times of shock in an efficient way. Also, stakeholders can use this framework as a reference to distinguish corporate initiatives aiming to propel community resilience from corporate “covidwashing.”

Crises are often studied in international business (IB) research as the external “context” for business strategies, but firms can also be active participants in the unfolding of crises. The study of crises in IB could benefit greatly from studying the role of multinational enterprises (MNEs) as active participants, rather than as mere passive actors, responding to exogenous events. History shows that IB crises typically unfold partially as exogenous processes, and partly as the result of MNE strategies. A multilevel and longitudinal approach to studying crises in IB is clearly necessary. This chapter considers the extent to which smaller events that preceded the present crisis – since 1989 – point to systemic problems in global governance. It also defines five overlapping lenses through which future IB studies can further create relevant insights on how to deal with crises: historic, macro, meso, micro and exogenous. The chapter finally serves as an introduction to the whole Progress in International Business Research volume by indicating the relevance of all parts and chapters that follow.

The purpose of this paper is to show that transmission of information and information storage or registration depends on structures. Structures emerge from coordinated sets of constraints. Complex systems depend on their structures to function. The temporal sequence of changes in the levels of the complex system determines its behavior. These three concepts are intimately linked with the environment. Environment, structure, function and behavior form a complex system–environment unit, which is the operational unit of existence for all open complex systems. Therefore, it becomes a point in the directional propagation of the cause, where stimulus environment becomes a Creaon, and then the Creaon becomes a Genon, becoming in turn the response to the experienced environment. The formation of structures is the main phenomenon of evolution. Evolution can also be accepted as free, in the sense that it does not cost additional deaths.

Mathematical and logical development of the structure and thermodynamics in complex systems.

Based on the above considerations, the authors are going to introduce two fundamental principles in Complex systems Theory: the Matthew Effect and the Principle of Sagan.

But as the authors’ purpose is to give a formal definition of a complex system from a totally theoretical point of view, they establish a relationship between concepts of General Systems Theory, Theory of the Environment, linguistics, Information Theory and thermodynamics.