دانلود و نمایش مقالات مرتبط با E-commerce::صفحه 1
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نتیجه جستجو - E-commerce

تعداد مقالات یافته شده: 108
ردیف عنوان نوع
1 Secure mobile internet voting system using biometric authentication and wavelet based AES
سیستم رای گیری اینترنتی تلفن همراه با استفاده از احراز هویت بیومتریک و AES مبتنی بر موجک-2021
The number of mobile phone users increases daily, and mobile devices are used for various applications like banking, e-commerce, social media, internet voting, e-mails, etc. This paper presents a secure mobile internet voting system in which a biometric method authenticates the voter. The biometric image can either be encrypted at the mobile device and send to the server or process the biometric image at the mobile device to generate the biometric template and send it to the server. The implementation of biometrics on mobile devices usually requires simplifying the algorithm to adapt to the relatively small CPU processing power and battery charge. This paper proposes a wavelet-based AES algorithm to speed up the encryption process and reduce the mobile device’s CPU utilization. The experimental analysis of three methods(AES encryption, wavelet-based AES encryption, and biometric template generation) exhibits that wavelet-based AES encryption is much better than AES encryption and template generation. The security analysis of three methods shows that AES and wavelet-based AES encryption provides better security than the biometric template’s protection. The study of the proposed internet voting system shows that biometric authentication defeats almost all the mobile-based threats.
Keywords: Internet voting | Fingerprint template | Iris code | AES encryption | Wavelet based AES encryption
مقاله انگلیسی
2 Research on the financing income of supply chains based on an E-commerce platform
تحقیق در مورد درآمد تأمین مالی زنجیره های تأمین براساس یک بستر تجارت الکترونیکی-2021
Rapid economic development has brought about the expansion of the supply chain. In the context of the demand for finance and emerging financial technology tools, supply chain finance on e-commerce platforms is developing rapidly. It not only strengthens the ability to serve the real economy, but also brings market risks caused by excessive supply chains. In the Internet era, IoT technology promotes the exchange of information, while it also has certain risk characteristics. This research implements the peaks over threshold (POT) model to investigate the value at risk (VaR) and expected loss (ES) in the supply chain of e-commerce platforms under the risk of un- expected changes in the market. The study finds that the supply chain of e-commerce platforms based on Internet of Things (IoT) technology suffers less risk in losses. The application and expansion of this technology will effectively lower the market risk of supply chain finance and better serve economic development.
Keywords: E-commerce platform | Supply chain | Market risk | POT model
مقاله انگلیسی
3 Sustainable and resilience planning for the supply chain of online hyperlocal grocery services
برنامه ریزی پایدار و انعطاف پذیر برای زنجیره تأمین خدمات مواد غذایی آنلاین بیش از حد محلی-2021
In an uncertain Supply Chain (SC) environment dealing with suppliers and transport-level disruptions in addition to fulfilling customers’ requirements is a complex task. Such challenges are more taxing in case of perishable products SCs. The concurrent effect of all such events affects the economic stability of SC and impedes sustainability on a longer planning horizon. The proposed study presents a case example of e-commerce based SC addressing an operational and distribution planning problem. For this purpose, the study simulates online grocery business operations by proposing a mixed-integer linear programming problem to minimize SCs expected cost. It includes the costs of purchase, transportation, supply-demand mismatch, and cost of economic loss due to the perishable nature of the products. Computational analysis is performed to manifest the performance of the proposed model considering the dataset of a hyperlocal distribution service. The study evaluates the utility of resilience and sustainable strategies to minimize expected economic costs and reduce environmental impacts by effectively managing waste. A backup strategy is devised to promote a resilient SC planning to fight the risk of disruptions and operational failures. Additionally, economic sustainability is achieved by implementing various markdown policies and waste minimization strategies. A sensitivity analysis using MonteCarlo simulation is presented to recognize the impact of operational risk, demand uncertainty, and perishability on the expected cost. Majorly, it contributes to the scant literature of quantitative modeling for the production and distribution of food SC to promote resiliently sustainable planning. Further, the resilient and sustainable strategies, procurement policies, penalty assessment, and markdown due to perishability are some of the key contributions of the study. The discussion provides plenty of opportunities to pursue future studies in operational and distribution management of e-commerce SCs.
Keywords: supply chain | hyperlocal grocery business | perishable food | resilient policy | sustainability | uncertainty
مقاله انگلیسی
4 بازاریابی جاذبه ای دیجیتال: اندازه گیری عملکرد اقتصادی تجارت الکترونیکی خواروبار در اروپا و آمریکا
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 13 - تعداد صفحات فایل doc فارسی: 30
این تحقیق به بررسی رابطه هزینه-نتیجه اقدامات بازاریابی جاذبه ای مورد استفاده تجارت الکترونیکی خواروبار می پردازد. این تحلیل بر اساس به کارگیری مدل درفمن و استینر (1954) برای بودجه تبلیغات بهینه است که مولفین آن را با بازاریابی دیجیتال تطبیق می دهند و با تحلیل آماری تجاری تایید میکنند. با توجه به 29 شرکت عمده در شش کشور در افق زمانی شش سال، تحلیل ترکیبی تکنیک های بهینه سازی موتور جستجو و بازاریابی موتور جستجو هدف جذب کارکنان به صفحات وب شرکت ها را دنبال می کند. نتایج تایید می کند که تجارت الکترونیکی بازاریابی جاذبه ای دیجیتال را بهینه سازی می کند. تفاوت ها بسته به نوع فرمت و سطح کشور فرق دارند.
واژگان کلیدی: بازاریابی جاذبه ای | بازاریابی دیجیتال | تجارت الکترونیک | خرده فروشی | عملکرد اقتصادی | بهینه سازی سرمایه گذاری بازاریابی.
مقاله ترجمه شده
5 Recent developments of content-based image retrieval (CBIR)
پیشرفت های اخیر بازیابی تصاویر مبتنی بر محتوا (CBIR)-2021
With the development of Internet technology and the popularity of digital devices, Content-Based Image Retrieval (CBIR) has been quickly developed and applied in various fields related to computer vision and artificial intelligence. Currently, it is possible to retrieve related images effectively and efficiently from a large scale database with an input image. In the past ten years, great efforts have been made for new theories and models of CBIR and many effective CBIR algorithms have been established. In this paper, we present a survey on the fast developments and applications of CBIR theories and algorithms during the period from 2009 to 2019. We mainly review the technological developments from the viewpoint of image representation and database search. We further summarize the practical applications of CBIR in the fields of fashion image retrieval, person re-identification, e-commerce product retrieval, remote sensing image retrieval and trademark image retrieval. Finally, we discuss the future research directions of CBIR with the challenge of big data and the utilization of deep learning techniques.© 2020 Elsevier B.V. All rights reserved.
Keywords: Content-based image retrieval | Image representation | Database search | Computer vision | Big data | Deep learning
مقاله انگلیسی
6 عکس العمل های شناختی، عاطفی و رفتاری مصرف کننده به واقعیت افزوده در تجارت الکترونیک: مطالعه تطبیقی
سال انتشار: 2021 - تعداد صفحات فایل pdf انگلیسی: 17 - تعداد صفحات فایل doc فارسی: 36
این مقاله به بررسی مزیت نسبی واقعیت افزوده نسبت به ارائه محصول در وب می پردازد. مدل واکنش مصرف کننده را طراحی کرده و واکنش مصرف کنندگان به نرم افزار مکانی آی کی ایی ای و وب سایت موبایلی آی کی ایی ای در گوشی های هوشمند مقایسه می کنیم. نتایج نشان می دهد که واقعیت افزوده عملکرد بهتری نسبت به ارائه محصول در وب سایت دارد در حالی که عکس قضیه به ازای کارایی رسانه درست است. نتایج نشان می دهد ارائه محصول در وب با ایجاد لذت واکنش عاطفی (پسند محصول، لذت جویی) و شناختی (اثربخشی محصول، اعتماد انتخابی) به ویژگی واقعیت افزوده همراه است. برای دستیابی به قصد خرید بالا، آنها باید تعامل را با مشتری افزایش دهند و از محصول انتخاب شده اطمینان یابند.
کلید واژه ها: واقعیت افزوده | بازاریابی واقعیت افزوده | همخوانی واقعیت شناخته شده | سیستم واکنش مصرف کننده | تجارت الکترونیکی | نمایش محصول
مقاله ترجمه شده
7 Website and e-shop Development as an e business Teaching Programme Innovation in Management Education
توسعه وب سایت و فروشگاه الکترونیکی به عنوان یک برنامه آموزش کسب و کار الکترونیکی نوآوری در آموزش مدیریت-2020
The article points out the need to introduce practical e-business learning in management education in Poland in order to adapt it to the labour market demand for new professionals such as digital manager, e commerce manager or e-commerce front-end developer. It also presents both the results of a research on the curricula of business studies and the conclusions of a survey conducted among students of the Faculty of Management, UTP University of Science and Technology in Bydgoszcz, Poland, who attended the e-business/e-commerce classes. It follows that the practical implementation of this subject is not popular in major economics and management courses, while among the public universities studied only UTP conduct classes using WordPress. According to the respondents, this area of knowledge is necessary, and the course itself is attractive and will be useful in the future. Therefore, research results indicate an innovative character of the presented teaching approach.© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)Peer-review under responsibility of the scientific committee of the KES International.
Keywords: e-business education | e-commerce education | managers education | higher education | WordPress;
مقاله انگلیسی
8 Intelligent decision-making of online shopping behavior based on internet of things
تصمیم گیری هوشمندانه از رفتار خرید آنلاین مبتنی بر اینترنت اشیا-2020
The development of big data and Internet of things (IoT) have brought big changes to e-commerce. Different kinds of information sources have improved the consumers’ online shopping performance and make it possible to realize the business intelligence. Grip force and eye-tracking sensors are applied to consumers online reviews search behavior by relating them to the research approaches in IoT. To begin with, public cognition of human contact degrees of recycled water reuses with grip force test was measured. According to the human contact degrees, 9 recycled water reuses presented by the experiment are classified into 4 categories. Based on the conclusion drawn from grip force test, purified recycled water and fresh vegetable irrigated with recycled water are regarded as the drinking for high-level human contact degree and the irrigation of food crops for low-level human contact degree respectively. Several pictures are designed for eye-tracking test by simulating an on-line shopping web page on Taobao (the most popular online shopping platform in China). By comparing the fixation time participants spent on the areas of interest (AOIs), we justify that consumers online reviews search behavior is substantially affected by human contact degrees of recycled products. It was found that consumers rely on safety perception reviews when buying high contact goods.
Keywords: Online reviews search behavior | Recycled products | Grip force sensor | Eye-tracking sensor | Internet of Things (IoT)
مقاله انگلیسی
9 Investigating consumer preferences on product designs by analyzing opinions from social networks using evidential reasoning
بررسی ترجیحات مصرف کننده در طرح های محصول با تجزیه و تحلیل نظرات شبکه های اجتماعی با استفاده از استدلال مشهود-2020
The rapid growth of e-commerce and social networking sites has created various challenges for the extraction of user-generated content (UGC). In the era of big data, customer opinions from social media are utilized for investigating consumer preferences to support product redesigns. Opinion mining, including the various automatic text classification algorithms using sentiment analysis is a capable tool to deal with a large amount of comments on the social networking sites. In which, sentiment analysis is used to determine the contextual polarity within a comment by searching sentimental words. However, the inconsistency on choosing the sentiment words leads to the inaccurate interpretation of the opinion strength of sentiment words. An approach to summarize the UGC from social networking media using fuzzy and ER without the need to review all the comments is proposed in this paper. The inaccuracy on determination of the polarity of sentiment words and corresponding opinion strengths is rectified by fuzzy approximation and ER. The result is presented in ranking therefore the effort for result interpretation significantly reduced. The incorporation of sentiment analysis with ER to analyze the UGC for product designs is a new attempt in investigating consumer preferences. The proposed approach is shown to be handy, sufficient, and cost effective for the product design and re-design, particularly in the preliminary stage. This project can be further extended by employing alternative fuzzy approximate techniques in the fuzzy-ER approach to support the sentiment analysis to enhance the accuracy of sentiment values for determining the distribution assessments of ER.
Keywords: Opinion mining | Sentiment analysis | Evidential reasoning | Consumer preferences | Product design
مقاله انگلیسی
10 Purchase intention and purchase behavior online: A cross-cultural approach
قصد خرید و خرید آنلاین: رویکردی بین فرهنگی-2020
This article aims to explore the key factors on e-commerce adoption from elements of social psychology, such as attitude, subjective norms, perceived behavioral control, ease of use and perceived usefulness, introducing the study of non-traditional elements like buying impulse, compatibility, and self-efficacy in online stores, contrasting relationships in a cross-cultural environment. The proposed model is tested from quantitative research with a sample of 584 online consumers in Colombia and Spain. The following statistical analyses were conducted: CFA, structural equations, measurement instrument invariance, and multi-group analysis with EQS 6.3 software. The study reveals that self-efficacy in online stores is a key factor in adopting electronic commerce above the cultures studied. Also, there is significant evidence that proves the moderating effect of national culture on several relationships of the model proposed. Results highlight the importance of national culture to understand impulsive buying behavior. The article presents several considerations toward the main elements to generate online purchase intention among consumers in an emerging country and finds substantial differences with consumers in a developed country. Practical implications are made for companies to adopt online channels and expand internationally.
Keywords: Online purchase intention | Purchase behavior | Cross-cultural study | Colombia | Spain | Technology management | Technology adoption | Marketing | Consumer attitude | Decision analysis | Business
مقاله انگلیسی
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