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jeasiq-20
/ E-Readiness, UTAUT Model, Social Commerce
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Abstract

Objective / Purpose: Online social relationships through the emergence of Web 2.0 applications have become a new trend for researchers to study the behavior of consumers to shop online, as well as social networking sites are technologies that opened up opportunities for new business models. Therefore, a new trend has emerged, called social trade technology. In order to understand the behavioral intentions of the beneficiaries to adopt the technology of social trade, the current research aims at developing an electronic readiness framework and UTAUT model to understand the beneficiary's adoption of social trade technology.

Design/ methodology/ Approach: To achieve the objectives of the research, a special questionnaire was constructed for this purpose and then distributed to a sample of students (as consumers) of some faculties of the University of Mosul. The sample included (111) respondents.

Findings and proposals: The results of this study showed evidence of the critical role of electronic readiness and the UTAUT model in the adoption of social trade technology. It was suggested that the need to spread and provide the means and methods of modern technology on a continuous basis at the level of both organizations and individuals (consumers) that it helps to facilitate the work and raise the level of performance on the one hand, and develop the capabilities of individuals and provide them with new knowledge on the other hand.

Originality/ value: The present research provides the basis for objective behavioral practices, by highlighting the key role of ICT in the behavior of individuals (consumers and customers) on the Internet as an evolution of electronic commerce.

The Search Type: Descriptive Search.

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Publication Date
Thu Jun 01 2023
Journal Name
International Journal Of Electrical And Computer Engineering (ijece)
An optimized deep learning model for optical character recognition applications
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The convolutional neural networks (CNN) are among the most utilized neural networks in various applications, including deep learning. In recent years, the continuing extension of CNN into increasingly complicated domains has made its training process more difficult. Thus, researchers adopted optimized hybrid algorithms to address this problem. In this work, a novel chaotic black hole algorithm-based approach was created for the training of CNN to optimize its performance via avoidance of entrapment in the local minima. The logistic chaotic map was used to initialize the population instead of using the uniform distribution. The proposed training algorithm was developed based on a specific benchmark problem for optical character recog

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The Shiite religious authority in Iraq has played an active and vital role over its long history in promoting values of tolerance, rejecting extremism, advocating unity and confronting external challenges. This role has increased significantly after 2003 as a result of the great challenges that have passed in Iraq. Despite its clear policy of non-interference in political matters, except in cases of necessity, but the great role it played in maintaining national unity and advocating the rejection of extremism and sectarianism has made it a necessary need in Iraq to confront any deviations, dispersions or threats that affect society and the state. Therefore, its role in the process of reform was prominent on the political level by calling

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Abstract

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Wed Jan 01 2014
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