國立虎尾科技大學 |

An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation./
作者:	Makki, Eyad Yahia.
面頁冊數:	1 online resource (119 pages)
附註:	Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
Contained By:	Dissertation Abstracts International78-10B(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9781369824148

An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation.
Makki, Eyad Yahia.

An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation. - 1 online resource (119 pages)

Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

This dissertation aims to explore the motivators and inhibitors as well as the effects of social media and mobile usage on E-commerce by studying consumer behaviors and E-commerce websites in a selected country, and to design and develop an automatic evaluation model for E-commerce websites performance using quantitative data. The outcome of this dissertation is a development of an automatic E-commerce website evaluation model based on factors algorithms for 4 evaluation indexes applied to quantitative data. Literature on E-commerce website evaluation has focused almost exclusively on qualitative approaches or ignored overlooked factors like social media and regional-related factors. To date, no systematic exploration has considered the factors used in this dissertation to automatically evaluate E-commerce website performance. The most important contribution of this dissertation is to develop a systematic approach to identify a set of major, and overlooked, factors currently affecting the performance of E-commerce websites in a certain region and how to use these factors for E-commerce websites performance evaluation by designing and developing an automatic evaluation model for E-commerce websites performance using the proposed quantitative approach.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369824148Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation.
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245 1 3 $a An Enhanced Quantitative Performance Model for Automatic E-commerce Websites Evaluation.
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300 $a 1 online resource (119 pages)
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500 $a Source: Dissertation Abstracts International, Volume: 78-10(E), Section: B.
500 $a Adviser: Lin-Ching Chang.
502 $a Thesis (Ph.D.) $c The Catholic University of America $d 2017.
504 $a Includes bibliographical references
520 $a This dissertation aims to explore the motivators and inhibitors as well as the effects of social media and mobile usage on E-commerce by studying consumer behaviors and E-commerce websites in a selected country, and to design and develop an automatic evaluation model for E-commerce websites performance using quantitative data. The outcome of this dissertation is a development of an automatic E-commerce website evaluation model based on factors algorithms for 4 evaluation indexes applied to quantitative data. Literature on E-commerce website evaluation has focused almost exclusively on qualitative approaches or ignored overlooked factors like social media and regional-related factors. To date, no systematic exploration has considered the factors used in this dissertation to automatically evaluate E-commerce website performance. The most important contribution of this dissertation is to develop a systematic approach to identify a set of major, and overlooked, factors currently affecting the performance of E-commerce websites in a certain region and how to use these factors for E-commerce websites performance evaluation by designing and developing an automatic evaluation model for E-commerce websites performance using the proposed quantitative approach.
520 $a As an important economic growth factor, E-Commerce becomes vital for many businesses to remain in competitive markets. E-Commerce adoption and implementation in developed and developing countries have been carefully studied. The economy of Saudi Arabia is growing fast as well as internet usage and social media penetration. However, the growth of E-commerce in the country is not consistent with the growth of the forgoing factors or with the neighboring countries. Hence, I have selected this country in order to explore the deficits in E-commerce adoption leading to further studies and finding more factors to achieve the goal of this dissertation. Currently, E-commerce plays a key role in business success, as the thriving of an E-business heavily depends on the effectiveness of an E-commerce website. Therefore, it is important to accurately evaluate the performance of E-commerce websites. E-commerce websites generate a large amount of data that is often used for performance evaluation. There are many traditional, simple approaches used for E-commerce websites evaluation most of them are based on qualitative approach using principals or criteria. However, such approaches, performed by a domain expert, can be subjective and time-consuming. It is a known fact that the factors influencing E?commerce adoption and implementation are highly related to the country or the region and its culture under investigation. Moreover, the E-commerce environment is always changing, so an automatic quantitative approach to continuously evaluate the performance of a website would be highly desired. In this dissertation, a new model is proposed integrating indexes of social media, website functionality, website rank as well as regional-related and service data in order to quantitatively evaluate the performance of E-commerce websites. By adopting those new factors, I try to provide a model to better assess the compounding effect of website performance, mainly E-commerce websites in a particular region.
520 $a To achieve the goal, a comprehensive web survey was designed and used to gather an in-depth understanding of the motivators and inhibitors of E-commerce in Saudi Arabia which was highly valuable in helping to explore such motivators and inhibitors as well as the positive effects of social media and mobile usage on E-commerce. Then, a website containing data for more than 140 E-commerce websites in Saudi Arabia is created. In addition, several web programs are written to automatically gather data about the E-commerce websites and update their records in the created website. Twitter data is collected from January 1st to October 31st 2016 for 54 E-commerce websites with top Twitter followers. Formulas are proposed to calculate the scores for each factor of the indexes. The proposed model is applied to the 54 selected E-commerce websites, and the evaluation results show the benefit of the new model. Principle Component Analysis (PCA) is applied to reduce factors of proposed indexes, then K-mean was used to classify the E-commerce websites into 4 classes: Excellent, Good, Average and Poor.
520 $a The proposed model can be used to improve the website performance evaluation and help decision makers to better understand their business. As a contribution to the literature, the flexibility of the model and its comprehensive application can be achieved by applying it to different domains, like universities or banks, not just E-commerce when modifying the factors of some indexes. Furthermore, the model can also be applied to any region or country by modifying the regional-related and service factors according to the selected region.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
650 4 $a Web studies. $3 1148502
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a The Catholic University of America. $b Electrical Engineering and Computer Science. $3 1180189
773 0 $t Dissertation Abstracts International $g 78-10B(E).
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