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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
Sun Sep 09 2018
Journal Name
مجلة التراث العلمي العربي
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Publication Date
Mon Jan 28 2019
Journal Name
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Publication Date
Thu Apr 30 2020
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Publication Date
Tue Apr 01 2014
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Developing a Learning Organization According to Analysis of the Relationship between Knowledge Gap and Strategic Performance Gaps: Field Study in a Sample of Private Banks in Baghdad.
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Publication Date
Fri Sep 30 2022
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A Comparative Study for Estimate Fractional Parameter of ARFIMA Model
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      Long memory analysis is one of the most active areas in econometrics and time series where various methods have been introduced to identify and estimate the long memory parameter in partially integrated time series. One of the most common models used to represent time series that have a long memory is the ARFIMA (Auto Regressive Fractional Integration Moving Average Model) which diffs are a fractional number called the fractional parameter. To analyze and determine the ARFIMA model, the fractal parameter must be estimated. There are many methods for fractional parameter estimation. In this research, the estimation methods were divided into indirect methods, where the Hurst parameter is estimated fir

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Publication Date
Mon Oct 01 2018
Journal Name
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