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Institution

Instituto Tecnológico Autónomo de México

EducationMexico City, Mexico
About: Instituto Tecnológico Autónomo de México is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Politics & Population. The organization has 1098 authors who have published 2532 publications receiving 39083 citations. The organization is also known as: Instituto Tecnologico Autonomo de Mexico & Mexico Autonomous Institute of Technology.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors measured the perceived Advertising Value of Twitter ads on a large sample of Mexican Millennials and found that Informativeness and Entertainment were the strongest predictors, with Credibility in third place.
Abstract: Purpose – This study set out to measure the perceived Advertising Value of Twitter ads on a large sample of Mexican Millennials. Design/methodology/approach – An online survey was used to collect data among 630 university students. The hypothesized antecedents of Advertising Value were Informativeness, Entertainment, Irritation and Credibility. The model was estimated using Partial Least Squares. Findings – Results indicate Informativeness and Entertainment were the strongest predictors, with Credibility in third place. In addition, Credibility displayed gender effects: it was significant for female respondents but not for males. Irritation failed to reach statistical significance in most subsamples, suggesting Twitter ads are more acceptable to Millennials than other advertising formats. Originality/value – Millennials tend to dismiss traditional advertising formats. At the same time they are heavy users of Social Networking Sites. This research provides the first empirical estimation of the Ducoffe model of Advertising Value in the microblogging service Twitter, and the first application of this robust model of web advertising to a Latin American sample. Our results have important implications for both regional and global brands targeting Millennials.

39 citations

Journal ArticleDOI
TL;DR: Numerical tests indicate that the proposed improvement of a method that combines projected Gauss–Seidel iterations with subspace minimization steps is more efficient than interior-point and gradient projection methods on some physical simulation problems that arise in computer game scenarios.
Abstract: This paper studies algorithms for the solution of mixed symmetric linear complementarity problems. The goal is to compute fast and approximate solutions of medium to large sized problems, such as those arising in computer game simulations and American options pricing. The paper proposes an improvement of a method described by Kocvara and Zowe (Numer Math 68:95–106, 1994) that combines projected Gauss–Seidel iterations with subspace minimization steps. The proposed algorithm employs a recursive subspace minimization designed to handle severely ill-conditioned problems. Numerical tests indicate that the approach is more efficient than interior-point and gradient projection methods on some physical simulation problems that arise in computer game scenarios.

39 citations

Journal ArticleDOI
TL;DR: In the absence of secure property rights, tangible collateral could not credibly be offered to creditors; but there remained the possibility of using reputation as a form of intangible collateral as discussed by the authors.
Abstract: Mexico's initial industrialization was based on firms that were “grouped”: that is, linked to other firms through close affiliations with a common bank. Most explanations for the prevalence of groups are based on increasing returns or missing formal capital markets. We propose a simpler explanation that better fits the facts of Mexican history. In the absence of secure property rights, tangible collateral could not credibly be offered to creditors; but there remained the possibility of using reputation as a form of intangible collateral. In such circumstances, firms had incentives to group together for purposes of mutual monitoring and insurance.

39 citations

Journal ArticleDOI
TL;DR: Results indicate that implementing a TAS may significantly benefit yard operations in terms of reducing container rehandles as well as truck waiting times.
Abstract: Port terminals consist of two interfaces for transferring cargo among transport modes: (1) the seaside or quayside interface and (2) the landside interface. At the seaside interface, cargo is loaded and unloaded from the vessels and stored temporarily at the yard. Landside operations consist of receiving and dispatching cargo from external trucks and rail. The increasing volumes of international trade are demanding more efficient cargo handling throughout the port logistic chain and coordination with the hinterland, hence attracting more attention from both practitioners and researchers on the landside interface of ports. Due to the high variability of truck arrivals with a significant concentration at peak hours, congestion at the access gates of ports and an unbalanced utilization of the resources occur. Truck appointment systems (TAS) have already been implemented in some ports as a coordination mechanism to reduce congestion at ports, balance demand and capacity, and reduce truck turnaround times. Based on the current situation faced by the Port of Arica, Chile, this paper aims to analyze potential configurations of a TAS and evaluate its impacts on yard operations, specifically in the reduction of container rehandles, as well as truck turnaround times. For this, a discrete-event simulation model and a heuristic procedure are proposed and experimentation is performed using historical data from the port terminal. Results indicate that implementing a TAS may significantly benefit yard operations in terms of reducing container rehandles as well as truck waiting times.

38 citations


Authors

Showing all 1112 results

NameH-indexPapersCitations
Stanislav Pospisil10596644510
Romeo Ortega8277830251
Enrique Alba5753014535
Maria Merino5619011282
Manuel A. S. Santos472559081
Aaron Tornell4613910575
Georges Zaccour433197245
Carlos Velasco422206186
Francisco J. Cervantes371445401
Hussain Shareef353765377
Diego Restuccia31955817
Stephen Haber30984326
Igor Prünster291063033
Víctor M. González281654209
Antonio Lijoi281233066
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202236
2021175
2020133
2019143
2018136