Search results for " heuristic"

Communities of Communication: Making Sense of the “Social” in Social Media

2012

As social media usage permeates people's lives, an increasing portion of their daily behavior leaves digital traces to be used by researchers. Social scientists can hope to gain new insight into the previously hidden but digitally recorded aspects of our digital social lives. Beyond aggregate and individual-level studies of user behavior, the digital traces also enable scientific examination of the structure of social interaction through networks. At the same time, the large scale and networked nature of social media data pose a new set of challenges to be overcome through the development of sound methodologies. We take stock of current methodological promises and challenges in social media…

Usability of ERP Error Messages

2014

Usability of complex information system like enterprise resource planning (ERP) system is still a challenging area. This is why many usability problems have been found in the ERP system. In this article, we tried to highlight the 21 usability problems in ERP error messages by using Nielsen’s heuristics and inquiry questionnaire methods. Nielsen’s heuristics is a better for finding a large number of unique usability problems in different areas. The inquiry questionnaire method has some constraints, but it is useful for comprehending how the actual end-users perceive an application. peerReviewed

The continuous sample of working lives: Improving its representativeness

2017

This paper studies the representativeness of the Continuous Sample of Working Lives (CSWL), a set of anonymized microdata containing information on individuals from Spanish Social Security records. We examine several CSWL waves (2005–2013) and show that it is not representative for the population with a pension income. We then develop a methodology to draw a large dataset from the CSWL that is much more representative of the retired population in terms of pension type, gender and age. This procedure also makes it possible for users to choose between goodness of fit and subsample size. In order to illustrate the practical significance of our methodology, the paper also contains an applicatio…

A Simulation-based Performance Evaluation of Heuristics for Dew Computing

2021

A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones

2021

The computing resources of today’s smartphones are underutilized most of the time. Using these resources could be highly beneficial in edge computing and fog computing contexts, for example, to support urban services for citizens. However, new challenges, especially regarding job scheduling, arise. Smartphones may form ad hoc networks, but individual devices highly differ in computational capabilities and (tolerable) energy usage. We take into account these particularities to validate a task execution scheme that relies on the computing power that clusters of mobile devices could provide. In this paper, we expand the study of several practical heuristics for job scheduling including executi…

Recommendations for design and analysis of health examination surveys under selective non-participation

2019

Background The decreasing participation rates and selective non-participation peril the representativeness of health examination surveys (HESs). Methods Finnish HESs conducted in 1972–2012 are used to demonstrate that survey participation rates can be enhanced with well-planned recruitment procedures and auxiliary information about survey non-participants can be used to reduce selection bias. Results Experiments incorporated to pilot surveys and experience from previously conducted surveys lead to practical improvements. For example, SMS reminders were taken as a routine procedure to the Finnish HESs after testing their effect on a pilot study and finding them as a cost-effective way to inc…

The EUropean Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI)

2020

Funder: FP7 Ideas: European Research Council; doi: http://dx.doi.org/10.13039/100011199; Grant(s): HEALTH-F2-2010-241909

Why retail investors traded equity during the pandemic? An application of artificial neural networks to examine behavioral biases

2021

Behavioral biases are known to influence the investment decisions of retail investors. Indeed, extant research has revealed interesting findings in this regard. However, the literature on the impact of these biases on millennials' trading activity, particularly during a health crisis like the COVID-19 pandemic, as well as the equity recommendation intentions of such investors, is limited. The present study addressed these gaps by investigating the influence of eight behavioral biases: overconfidence and self-attribution, over-optimism, hindsight, representativeness, anchoring, loss aversion, mental accounting, and herding on the trading activity and recommendation intentions of millennials …

Consumer biases in the perception of organizational greed

2022

This article extends current models of how consumers judge or perceive organizations as greedy by employing the theoretical framework of motivated moral reasoning. We show that inherent features of an organization (size and “black sheep” status) and its behavior (relative frequency) bias consumer perceptions of organizational greed. We use an experimental methodology, present subjects with vignettes describing different scenarios, validate our questionnaire using confirmatory factor analysis, and test our hypotheses by employing a general linear model with covariates. Our findings suggest that consumer perceptions of organizational greed are subject to three effects: the underdog effect (St…

Scatter tabu search for multiobjective clustering problems

2011

We propose a hybrid heuristic procedure based on scatter search and tabu search for the problem of clustering objects to optimize multiple criteria. Our goal is to search for good approximations of the efficient frontier for this class of problems and provide a means for improving decision making in multiple application areas. Our procedure can be viewed as an extension of SSPMO (a scatter search application to nonlinear multiobjective optimization) to which we add new elements and strategies specially suited for combinatorial optimization problems. Clustering problems have been the subject of numerous studies; however, most of the work has focused on single-objective problems. Clustering u…