Georgia Institute of Technology

About: Georgia Institute of Technology is a education organization based out in Atlanta, Georgia, United States. It is known for research contribution in the topics: Population & Computer science. The organization has 45387 authors who have published 119086 publications receiving 4651220 citations.

An examination of herd behavior in equity markets: An international perspective

Abstract: We examine the investment behavior of market participants within diAerent international markets (i.e., US, Hong Kong, Japan, South Korea, and Taiwan), specifically with regard to their tendency to exhibit herd behavior. We find no evidence of herding on the part of market participants in the US and Hong Kong and partial evidence of herding in Japan. However, for South Korea and Taiwan, the two emerging markets in our sample, we document significant evidence of herding. The results are robust across various size-based portfolios and over time. Furthermore, macroeconomic information rather than firm-specific information tends to have a more significant impact on investor behavior in markets which exhibit herding. In all five markets, the rate of increase in security return dispersion as a function of the aggregate market return is higher in up market, relative to down market days. This is consistent with the directional asymmetry documented by McQueen et al. (1996) (McQueen, G., Pinegar, M.A., Thorley, S., 1996.

End-to-end available bandwidth: measurement methodology, dynamics, and relation with TCP throughput

Abstract: The available bandwidth (avail-bw) in a network path is of major importance in congestion control, streaming applications, quality-of-service verification, server selection, and overlay networks. We describe an end-to-end methodology, called self-loading periodic streams (SLoPS), for measuring avail-bw. The basic idea in SLoPS is that the one-way delays of a periodic packet stream show an increasing trend when the stream's rate is higher than the avail-bw. We have implemented SLoPS in a tool called pathload. The accuracy of the tool has been evaluated with both simulations and experiments over real-world Internet paths. Pathload is nonintrusive, meaning that it does not cause significant increases in the network utilization, delays, or losses. We used pathload to evaluate the variability ("dynamics") of the avail-bw in Internet paths. The avail-bw becomes significantly more variable in heavily utilized paths, as well as in paths with limited capacity (probably due to a lower degree of statistical multiplexing). We finally examine the relation between avail-bw and TCP throughput. A persistent TCP connection can be used to measure roughly the avail-bw in a path, but TCP saturates the path and increases significantly the path delays and jitter.

Soft nanotechnology with soft nanoparticles.

Abstract: The last decade of research in the physical sciences has seen a dramatic increase in the study of nanoscale materials. Today, "nanoscience" has emerged as a multidisciplinary effort, wherein obtaining a fundamental understanding of the optical, electrical, magnetic, and mechanical properties of nanostructures promises to deliver the next generation of functional materials for a wide range of applications. While this range of efforts is extremely broad, much of the work has focused on "hard" materials, such as Buckyballs, carbon nanotubes, metals, semiconductors, and organic or inorganic dielectrics. Meanwhile, the soft materials of current interest typically include conducting or emissive polymers for "plastic electronics" applications. Despite the continued interest in these established areas of nanoscience, new classes of soft nanomaterials are being developed from more traditional polymeric constructs. Specifically, nanostructured hydrogels are emerging as a promising group of materials for multiple biotechnology applications as the need for advanced materials in the post-genomic era grows. This review will present some of the recent advances in the marriage between water-swellable networks and nanoscience.

The effect of general and partner-specific alliance experience on joint r&d project performance

Abstract: Drawing on the organizational learning literature, we posited that both general, diverse-partner experience and partner-specific experience contribute to alliance performance, but at a declining rate. We tested hypotheses in unique data on the objective performance of projects between large pharmaceutical firms and biotechnology partners. The general alliance experience of the biotechnology partners, but not of the pharmaceutical firms, positively affected joint project performance. This relationship exhibited diminishing marginal returns. Contrary to predictions, partner-specific experience had a negative, marginally significant effect on joint project performance. Strategic alliances are voluntary arrangements between firms to exchange and share knowledge as well as resources with the intent of developing processes, products, or services (Gulati, 1998: 293). As evidenced by their ubiquitous use in many different industries (Hagedoorn, 1993), alliances have become an important strategic tool. While alliances are used extensively, researchers have produced evidence suggesting that many, if not most, alliances do not live up to expectations or even fail altogether (Kogut, 1989). Understanding the performance of individual alliances is an important, yet underresearched, topic in strategic management. Herein, we seek to make a theoretical as well as a methodological contribution to the understanding of alliance performance. Building on recent conceptual work that proposed the existence of an alliance management capability (Dyer & Singh, 1998; Ireland, Hitt, & Vaidyanath, 2002), we apply an organizational learning lens to outline a theory of alliance experience accumulation obtained from allying across a diverse set of partners, and from repeatedly allying with the same partner over time. Allying across a portfolio of partners leads to general alliance experience obtained from the breadth of a firm’s alliance activity, while allying within the same dyad deepens partner-specific learning. We suggest that the relationship between alliance experience and alliance performance follows an experience curve, and is therefore positive, but characterized by diminishing marginal returns. Empirical work investigating the performance of