56,329 research outputs found
Call for Papers: Transnational Marketing Journal
Transnational Marketing Journal invites practitioners, consultants, and academics to submit papers worthy of contribution to the literature. We invite papers that model marketing, critically discuss marketing practices, investigate consumer experiences, and the dynamics of the marketing organisation with regards to the transnational context and relevance. We also invite papers that study consumer preferences, marketing environment, marketing strategy, segmentation analysis, consumer reference points, marketing theory, modelling and so on. Critical and novel approaches and methods are particularly welcome.Transnational Marketing, Consumption, Mobile Consumers, Multinational Organisations, Transnational Firms
It’s Hard To See How the SEIU Fits the Chinese Model
This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.CLW_2011_Report_China_its_hard.pdf: 12 downloads, before Oct. 1, 2020
Shadowing-based reliability decay in softened n-body simulations
A shadow of a numerical solution to a chaotic system is an_exact_ solution to
the equations of motion that remains close to the numerical solution for a long
time. In a collisionless n-body system, we know that particle motion is
governed by the global potential rather than by inter-particle interactions. As
a result, the trajectory of each individual particle in the system is
independently shadowable. It is thus meaningful to measure the number of
particles that have shadowable trajectories as a function of time. We find that
the number of shadowable particles decays exponentially with time as exp(-mu
t), and that for eps in [~0.2,1] (in units of the local mean inter-particle
separation ), there is an explicit relationship between the decay
constant mu, the timestep h of the leapfrog integrator, the softening eps, and
the number of particles N in the simulation. Thus, given N and eps, it is
possible to pre-compute the timestep h necessary to acheive a desired fraction
of shadowable particles after a given length of simulation time. We demonstrate
that a large fraction of particles remain shadowable over ~100 crossing times
even if particles travel up to about 1/3 of the softening length per timestep.
However, a sharp decrease in the number of shadowable particles occurs if the
timestep increases to allow particles to travel further than 1/3 the softening
length in one timestep, or if the softening is decreased below ~0.2.Comment: 4 pages, 5 figure
Economic Small-World Behavior in Weighted Networks
The small-world phenomenon has been already the subject of a huge variety of
papers, showing its appeareance in a variety of systems. However, some big
holes still remain to be filled, as the commonly adopted mathematical
formulation suffers from a variety of limitations, that make it unsuitable to
provide a general tool of analysis for real networks, and not just for
mathematical (topological) abstractions. In this paper we show where the major
problems arise, and how there is therefore the need for a new reformulation of
the small-world concept. Together with an analysis of the variables involved,
we then propose a new theory of small-world networks based on two leading
concepts: efficiency and cost. Efficiency measures how well information
propagates over the network, and cost measures how expensive it is to build a
network. The combination of these factors leads us to introduce the concept of
{\em economic small worlds}, that formalizes the idea of networks that are
"cheap" to build, and nevertheless efficient in propagating information, both
at global and local scale. This new concept is shown to overcome all the
limitations proper of the so-far commonly adopted formulation, and to provide
an adequate tool to quantitatively analyze the behaviour of complex networks in
the real world. Various complex systems are analyzed, ranging from the realm of
neural networks, to social sciences, to communication and transportation
networks. In each case, economic small worlds are found. Moreover, using the
economic small-world framework, the construction principles of these networks
can be quantitatively analyzed and compared, giving good insights on how
efficiency and economy principles combine up to shape all these systems.Comment: 17 pages, 10 figures, 4 table
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