DePaul University

About: DePaul University is a education organization based out in Chicago, Illinois, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5658 authors who have published 11562 publications receiving 295257 citations.

Moderating Effects of Task Type on Wireless Technology Acceptance

Abstract: The technology acceptance model (TAM) is one of the most widely used models of information technology (IT) adoption. According to TAM, IT adoption is influenced by two perceptions: usefulness and ease of use. In this study, we extend TAM to the mobile commerce context. We categorize the tasks performed on wireless handheld devices into three categories: (1) general tasks that do not involve transactions and gaming, (2) gaming tasks, and (3) transactional tasks. We propose a unified conceptual model for wireless technology adoption. In this model, task type moderates the effects of four possible determinants: perceived usefulness, perceived ease of use, perceived playfulness, and perceived security. We postulate that, under the mobile context, user intention to perform general tasks that do not involve transactions and gaming is influenced by perceived usefulness and perceived ease of use, user intention to play games is affected by perceived playfulness, and user intention to transact is influenced by perceived usefulness and perceived security. A survey was conducted to collect data about user perception of 12 tasks that could be performed on wireless handheld devices and user intention to use wireless technology. Multiple regression analyses supported the proposed research model.

A model of the go/no-go task

Abstract: In this article, the first explicit, theory-based comparison of 2-choice and go/no-go variants of 3 experimental tasks is presented. Prior research has questioned whether the underlying core-information processing is different for the 2 variants of a task or whether they differ mostly in response demands. The authors examined 4 different diffusion models for the go/no-go variant of each task along with a standard diffusion model for the 2-choice variant (R. Ratcliff, 1978). The 2-choice and the go/no-go models were fit to data from 4 lexical decision experiments, 1 numerosity discrimination experiment, and 1 recognition memory experiment, each with 2-choice and go/no-go variants. The models that assumed an implicit decision criterion for no-go responses produced better fits than models that did not. The best model was one in which only response criteria and the nondecisional components of processing changed between the 2 variants, supporting the view that the core information on which decisions are based is not different between them.

Service Innovation and Customer Choices in the Hospitality Industry

Abstract: Purpose – The purpose of this paper is to understand the impact service innovation has on customers' choices within the hotel and leisure industry. The paper also discusses the influence of the creation of new services on both service development and operational strategy.Design/methodology/approach – The analysis is based on a national survey of approximately 1,000 travelers in the United States, using a web‐based data acquisition approach. The travelers are segmented by reason of travel (business or leisure), and discrete choice analysis is applied to model customer preferences for various hotel service innovations.Findings – Overall, the study finds that service innovation does matter when guests are selecting a hotel, with type of lodging having the largest impact on a customer's hotel choice. In addition, service innovation is found to have a larger influence on choices when guests are staying at economy hotels rather than mid‐range to up‐scale hotels. Also, leisure travelers were found to be more inf...

Limited Investor Attention and Stock Market Misreactions to Accounting Information

Abstract: We provide a model in which a single psychological constraint, limited investor attention, explains both under- and over-reaction to different earnings components. Investor neglect of information in current-period earnings about future earnings induces post-earnings announcement drift and the pro fit anomaly. Neglect of earnings components causes accruals and cash flows to predict abnormal returns. We derive new untested empirical implications relating the strength of the drift, accruals, cash flows, and pro fit anomalies to the forecasting power of current earnings-related information for future earnings, the degree of investor attention to different types of information, and the volatilities of and correlation between accruals and cash flows. We also show that owing to costs of attention, in equilibrium some investors may decide not to attend to the implications of earnings or its components.

Creating adaptive Web sites through usage-based clustering of URLs

Abstract: We describe an approach to usage based Web personalization taking into account both the offline tasks related to the mining of usage data, and the online process of automatic Web page customization based on the mined knowledge. Specifically, we propose an effective technique for capturing common user profiles based on association rule discovery and usage based clustering. We also propose techniques for combining this knowledge with the current status of an ongoing Web activity to perform real time personalization. Finally, we provide an experimental evaluation of the proposed techniques using real Web usage data.