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Author

Khaled Hassanein

Other affiliations: NCR Corporation, McMaster-Carr, Autonomous University of Madrid  ...read more
Bio: Khaled Hassanein is an academic researcher from McMaster University. The author has contributed to research in topics: Empirical research & Information system. The author has an hindex of 27, co-authored 124 publications receiving 4293 citations. Previous affiliations of Khaled Hassanein include NCR Corporation & McMaster-Carr.


Papers
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Journal ArticleDOI
TL;DR: Higher levels of perceived social presence are shown to positively impact the perceived usefulness, trust and enjoyment of shopping websites, leading to more favourable consumer attitudes.
Abstract: Electronic commerce typically lacks human warmth and sociability, since it is more impersonal, anonymous and automated than traditional face-to-face commerce. This paper explores how human warmth and sociability can be integrated through the web interface to positively impact consumer attitudes towards online shopping. An empirical study was undertaken to investigate the impact of various levels of socially rich text and picture design elements on the perception of online social presence and its subsequent effect on antecedents of attitudes towards websites. Higher levels of perceived social presence are shown to positively impact the perceived usefulness, trust and enjoyment of shopping websites, leading to more favourable consumer attitudes. Implications of these finding for practitioners and future research are outlined.

773 citations

Journal ArticleDOI
TL;DR: A model for e-Loyalty is proposed and used to examine how varied conditions of social presence in a B2C e-Services context influence e- Loyalty and its antecedents of perceived usefulness, trust and enjoyment.

660 citations

Journal ArticleDOI
TL;DR: A holistic view of the study of computer use by older adults is provided, which provides a synthesis of the findings across these many disciplines, and attempts to highlight any gaps that exist.

632 citations

Journal ArticleDOI
TL;DR: An empirical investigation compared apparel and headphones and found that higher levels of social presence on Web sites selling headphones did not have a positive effect on attitudinal antecedents.
Abstract: Many on-line stores have little emotional or social appeal and lack human warmth. For some products, such as apparel, increasing a firm's social presence through socially rich descriptions and pictures will have a positive impact on attitudinal antecedents to purchase. The appropriateness and need for human warmth and sociability differ across types of products or services, however. An empirical investigation compared apparel (a product for which consumers seek fun and entertaining shopping experiences) and headphones (a product for which consumers primarily seek detailed product information). Unlike apparel, higher levels of social presence on Web sites selling headphones did not have a positive effect on attitudinal antecedents. The implications of these findings are discussed, and subjects for future research are outlined.

330 citations

Journal Article
TL;DR: E-learning is discussed, the needs and concerns of the various stakeholder groups are described, and a Stakeholders' Responsiblity Matrix is derived to summarize the responsibilities of each stakeholder group.
Abstract: Successful implementation of e-learning is dependent on the extent to which the needs and concerns of the stakeholder groups involved are addressed. This paper discusses e-learning, describes the needs and concerns of the various stakeholder groups, and derives a Stakeholders' Responsiblity Matrix to summarize the responsibilities of each stakeholder group. Fulfilling the responsibilities described in the Stakeholders' Responsibility Matrix will address the needs and concerns of each stakeholder groups, thereby encouraging the success of e-learning in higher education.

259 citations


Cited by
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Journal ArticleDOI
10 Mar 1970

8,159 citations

Journal ArticleDOI
Xin Yao1
01 Sep 1999
TL;DR: It is shown, through a considerably large literature review, that combinations between ANNs and EAs can lead to significantly better intelligent systems than relying on ANNs or EAs alone.
Abstract: Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in recent years. This paper: 1) reviews different combinations between ANNs and evolutionary algorithms (EAs), including using EAs to evolve ANN connection weights, architectures, learning rules, and input features; 2) discusses different search operators which have been used in various EAs; and 3) points out possible future research directions. It is shown, through a considerably large literature review, that combinations between ANNs and EAs can lead to significantly better intelligent systems than relying on ANNs or EAs alone.

2,877 citations

Book
Li Deng1, Dong Yu1
12 Jun 2014
TL;DR: This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.
Abstract: This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been experiencing research growth, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.

2,817 citations