Integer programming formulations of discrete hub location problems

In this article, using data from a survey of 218 consumers across two samples, we propose a measurement scale for word of mouth (e-WOM scale) in the context of electronic service. A battery of statistical tests reveals that the WOM construct encompasses four dimensions: WOM intensity, positive valence WOM, negative valence WOM, and WOM content. Our proposed e-WOM scale can be used as a strategic tool for business managers aiming to improve their word-of-mouth marketing strategies. Copyright © 2010 ASAC. Published by John Wiley & Sons, Ltd. JEL Classifi cations: M31, L81, C3

e-WOM Scale: Word-of-Mouth Measurement Scale for e-Services Context*

https://isiarticles.com/bundles/Article/pre/pdf/4931.pdf

How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective

The distributed permutation flowshop scheduling problem

This paper presents a comprehensive review of recent empirical studies dealing with online consumer behavior and decision-making processes. To that end, the paper adapts and extends Engel, Kollat, and Blackwell's (1978) and Engel, Blackwell, and Miniard's (1986) decision-making model as backdrop in the review of the literature. The vast majority of studies examine the link between external factors and one or more components of the decision-making process. The findings of this study show a paucity of research on a number of components of decision making, as well as inconsistencies in the way the online environment is characterized. Finally, the findings show that student samples are prevalent among the studies identified and the research method is biased toward the survey method as opposed to experimentation. Discussion and conclusions are provided, and directions for future research are presented. ©2010 Wiley Periodicals, Inc.

Toward an integrated framework for online consumer behavior and decision making process: A review

https://isiarticles.com/bundles/Article/pre/pdf/1776.pdf

Consumers' decision-making process and their online shopping behavior: a clickstream analysis

Over the last 20 years the NEH heuristic of Nawaz, Enscore, and Ham published in this journal has been commonly regarded as the best heuristic for minimizing the makespan in permutation flow shops In recent years some authors claimed to develop new heuristics that are competitive or outperform NEH Our study reveals that these claims are not justified We also address the issue of a fair comparison of the NEH results with those obtained by metaheuristics Finally we conduct a thorough analysis of NEH leading to its modification which secures the optimality in the two-machine case and improves the general performance

Pawel Jan Kalczynski

Papers

Consumers' decision-making process and their online shopping behavior: a clickstream analysis

On the NEH heuristic for minimizing the makespan in permutation flow shops

An improved NEH heuristic to minimize makespan in permutation flow shops

On no-wait and no-idle flow shops with makespan criterion

A leader-follower model for discrete competitive facility location