Gender differences in investment strategies: an information processing perspective
JF Graham, EJ Stendardi Jr, JK Myers… - International journal of …, 2002 - emerald.com
Refers to past research regarding gender differences in investment strategies which has
pointed to two important differences: female investors appear both to be more risk averse …
pointed to two important differences: female investors appear both to be more risk averse …
Behavioral supply management: a taxonomy of judgment and decision‐making biases
Purpose–The purpose of this paper is to review and integrate the extensive literature base
which examines judgment and decision‐making biases, to introduce this literature to the …
which examines judgment and decision‐making biases, to introduce this literature to the …
Deeplung: Deep 3d dual path nets for automated pulmonary nodule detection and classification
In this work, we present a fully automated lung computed tomography (CT) cancer diagnosis
system, DeepLung. DeepLung consists of two components, nodule detection (identifying the …
system, DeepLung. DeepLung consists of two components, nodule detection (identifying the …
Extending the technology acceptance model with task–technology fit constructs
MT Dishaw, DM Strong - Information & management, 1999 - Elsevier
During the past decade, two significant models of information technology (IT) utilization
behavior have emerged in the MIS literature. These two models, the technology acceptance …
behavior have emerged in the MIS literature. These two models, the technology acceptance …
A longitudinal study of vaccine hesitancy attitudes and social influence as predictors of COVID-19 vaccine uptake in the US
Background In many countries with high levels of COVID-19 vaccine access, uptake remains
a major issue. We examined prospective predictors of COVID-19 vaccine uptake in a United …
a major issue. We examined prospective predictors of COVID-19 vaccine uptake in a United …
An empirical evaluation of the comprehensibility of decision table, tree and rule based predictive models
An important objective of data mining is the development of predictive models. Based on a
number of observations, a model is constructed that allows the analysts to provide …
number of observations, a model is constructed that allows the analysts to provide …
The effects of interruptions, task complexity, and information presentation on computer‐supported decision‐making performance
Interruptions are a frequent occurrence in the work life of most decision makers. This paper
investigated the influence of interruptions on different types of decision‐making tasks and …
investigated the influence of interruptions on different types of decision‐making tasks and …
An empirical investigation of decision-making satisfaction in web-based decision support systems
Web-based information systems are increasingly being used for decision support
applications. However, few empirical studies have been conducted on web-based decision …
applications. However, few empirical studies have been conducted on web-based decision …
Artificial intelligence-based public healthcare systems: G2G knowledge-based exchange to enhance the decision-making process
With the rapid evolution of data over the last few years, many new technologies have arisen
with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite …
with artificial intelligent (AI) technologies at the top. Artificial intelligence (AI), with its infinite …
A proposed framework for behavioral accounting research
JG Birnberg - Behavioral Research in Accounting, 2011 - publications.aaahq.org
Behavioral accounting research (BAR) is richer today, in the topics covered, the methods
used, and the range of sub-areas of accounting in which it is performed, than ever before …
used, and the range of sub-areas of accounting in which it is performed, than ever before …