scholarly journals Optimal Multiple Attribute Decision Model for Key Parameters of Online Group Buying Product

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 906
Author(s):  
Shen-Tsu Wang ◽  
Meng-Hua Li ◽  
Chun-Chi Lien
Keyword(s):  
Decision Model ◽  
Large Scale ◽  
Online Shopping ◽  
Rapid Development ◽  
Cost Savings ◽  
The Internet ◽  
Selling Price ◽  
Group Buying ◽  
Multiple Attribute ◽  
Online Group

The rise of the internet has led to rapid development of online group buying, and with the various functions and analysis tools provided on the internet, consumers are making more purchases than ever before. In addition to attracting consumers to buy products or services via online shopping platforms, the industry’s online group buying market allows customers to enjoy preferential prices together. Consumers can bargain through large-scale purchases. Through quantity-based pricing, the effect of the decline on consumers’ expected price will be enhanced, and consumers will be able to purchase products at lower prices, which encourages more consumers to join group buying schemes. In terms of product cost, online shopping operations enable manufacturers to save shop setup and inventory costs, and some of these cost savings may be reflected in the selling price, which can enable customers to obtain products at lower prices. The grey decision model is used for further in-depth exploration. The purpose of this study is to use the grey correlation ranking and grey multi-attribute decision-making (TOPSIS) process to further determine the optimal shelf-time, inventory quantity, and selling price (key parameters) of commodities, in order to design a plan that makes maximum profit for the industry and provides the best service to customers.

On Internet Resources Service System Based on SN-Network Service Mmodel and SOA Framework

2013 ◽  
Vol 846-847 ◽  
pp. 1868-1872
Author(s):  
Shuai Gang
Keyword(s):  
Web Services ◽  
Web Service ◽  
Large Scale ◽  
Rapid Development ◽  
Ideological And Political Education ◽  
Political Education ◽  
The Internet ◽  
Internet Resources ◽  
Resource Service ◽  
The Web

In recent years, the number and size of Web services on the Internet have a rapid development. Industry and academia start to study the web service. In Internet resources, if the web cannot be found, the web service will become meaningless. So for web services, large-scale managements and problems are the keys of the study of Internet service resources. This paper studies large-scale distributed web services in network resources based on SOA architecture ideas. It also designs the unified management and organization system of ideological and political education which treat the ideological and political education as the content. It proposes SN network resource service model of ideological and political education. With the development and popularization of the Internet today, the study on Internet resources of ideological and political education in this paper provides a theoretical reference for the innovation of the ideological and political education.

scholarly journals Learning Context-Aware Outfit Recommendation

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 873
Author(s):  
Ahed Abugabah ◽  
Xiaochun Cheng ◽  
Jianfeng Wang
Keyword(s):  
Interior Design ◽  
Visual Information ◽  
Large Scale ◽  
Online Shopping ◽  
Rapid Development ◽  
User Preference ◽  
Learning Context ◽  
Image Region ◽  
User Interests ◽  
Real World Datasets

With the rapid development and increasing popularity of online shopping for fashion products, fashion recommendation plays an important role in daily online shopping scenes. Fashion is not only a commodity that is bought and sold but is also a visual language of sign, a nonverbal communication medium that exists between the wearers and viewers in a community. The key to fashion recommendation is to capture the semantics behind customers’ fit feedback as well as fashion visual style. Existing methods have been developed with the item similarity demonstrated by user interactions like ratings and purchases. By identifying user interests, it is efficient to deliver marketing messages to the right customers. Since the style of clothing contains rich visual information such as color and shape, and the shape has symmetrical structure and asymmetrical structure, and users with different backgrounds have different feelings on clothes, therefore affecting their way of dress. In this paper, we propose a new method to model user preference jointly with user review information and image region-level features to make more accurate recommendations. Specifically, the proposed method is based on scene images to learn the compatibility from fashion or interior design images. Extensive experiments have been conducted on several large-scale real-world datasets consisting of millions of users/items and hundreds of millions of interactions. Extensive experiments indicate that the proposed method effectively improves the performance of items prediction as well as of outfits matching.

A Study On Customer Satisfaction Towards Online Shopping In Sivaganga District

2019 ◽  
Vol 118 (6) ◽  
pp. 150-162
Author(s):  
A. Muthupriya
Keyword(s):  
Customer Satisfaction ◽  
Online Shopping ◽  
Rapid Development ◽  
The Internet ◽  
Marketing Environment ◽  
Traditional Markets ◽  
Factors Influencing ◽  
Shopping Satisfaction

This study titled “A Study on Customer Satisfaction towards Online Shopping in Sivaganga District” has been undertaken to understand the factors influencing customers’ online shopping decisions.The rapid development of the internet has strongly impact upon the worldwide marketing environment. Currently it has become one of the popular approaches for business and customer to perform trade over the internet. Businesses have been coming up with creative ways to promote their product via online. Thus it describes how modern market is replacing the traditional markets. This study is taking place to identify the factors that may influence customer’s online shopping satisfaction. Generally, the successof online shopping essentially depends on the customer satisfaction during their purchase.

TRAFFIC ARBITRATION

2021 ◽  
Vol 296 (4) ◽  
pp. 84-87
Author(s):  
B. KALINICH ◽  
◽  
A. KROTOV ◽  
S. LYNNYK ◽  
Oxana Yelisyeyeva ◽  
...  
Keyword(s):  
Large Scale ◽  
Rapid Development ◽  
The Internet ◽  
Analytical Skills ◽  
Entry Points ◽  
Market Situation ◽  
Promising Area ◽  
Global Information Society ◽  
Long Time ◽  
Main Components

In modern conditions, the rapid development of the global information society is being formed and taking place. The colossal level of development of network technologies allows users to earn money on the Internet in different ways. So today, earnings from traffic arbitrage is just one of the most profitable types on the Internet. You can make money on advertising on the Internet, if you can attract visitors to a particular site and consistently redirect them to another network portal. The work of an arbitrator is a daily hard work, you need to be constantly looking for new ideas, analyze successful cases and failures. The first large-scale example of the traffic business was the launch of an affiliate program by Amazon in July 1996. At that time, it was not the first, but certainly the most popular on the Internet. For a long time, this program was considered one of the most convenient “entry points” in the field for beginners. But in April 2020, Amazon reduced its commission payments immediately by 80%, making it much less attractive to webmasters. Today, traffic arbitrage is a very promising area in terms of earnings. This is a risky business, because without a competent approach to the case, without analyzing the market situation and without observing the statistics, you can lose a lot of time and money. Buying traffic is already an expense, and whether there will be income and what size is unknown. Even experienced professionals do not immediately make a profit. The article highlights the specifics of traffic arbitrage, webmaster work, CPA network. The essence of the arbitrator’s work, methods of profit and basic principles of work are revealed. The pros and cons, advantages and risks of arbitration in the field of digital marketing are considered. The main steps from which to start a robot in the traffic business are highlighted step by step. Features of work of the arbitrator and CPA-networks are revealed. The answers of the work for the last years according to the scientometric databases Google Scholar and ResearchGate are analyzed. It is determined that traffic arbitrage is a unique and risky field that requires technical skills and analytical skills from specialists. The main components for successful work with traffic are generalized. Various sources of income and the main search engines from traffic arbitrage are described. Traffic sources are analyzed. the corresponding conclusions are made. Insufficient number of scientific works on current trends in traffic arbitrage has been proved.

scholarly journals Achieving Message-Encapsulated Leveled FHE for IoT Privacy Protection

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Weiping Ouyang ◽  
Chunguang Ma ◽  
Guoyin Zhang ◽  
Keming Diao
Keyword(s):  
Internet Of Things ◽  
Privacy Protection ◽  
Large Scale ◽  
Homomorphic Encryption ◽  
Rapid Development ◽  
Information Leakage ◽  
The Internet ◽  
Public Key Encryption ◽  
Fully Homomorphic Encryption ◽  
The Internet Of Things

The rapid development of the Internet of Things has made the issue of privacy protection even more concerning. Privacy protection has affected the large-scale application of the Internet of Things. Fully Homomorphic Encryption (FHE) is a newly emerging public key encryption scheme, which can be used to prevent information leakage. It allows performing arbitrary algebraic operations on data which are encrypted, such that the operation performed on the ciphertext is directly transformed into the corresponding plaintext. Recently, overwhelming majority of FHE schemes are confined to single-bit encryption, whereas how to achieve a multibit FHE scheme is still an open problem. This problem is partially (rather than fully) solved by Hiromasa-Abe-Okamoto (PKC′15), who proposed a packed message FHE scheme which only supports decryption in a bit-by-bit manner. Followed by that, Li-Ma-Morais-Du (Inscrypt′16) proposed a multibit FHE scheme which can decrypt the ciphertext at one time, but their scheme is based on dual LWE assumption. Armed with the abovementioned two schemes, in this paper, we propose an efficient packed message FHE that supports the decryption in two ways: single-bit decryption and one-time decryption.

scholarly journals ANALYSİS OF FACTORS İNFLUENCİNG TO CONSUMER BEHAVİOR İN ONLİNE SHOPPİNG

2021 ◽  
Vol 09 (05) ◽  
pp. 42-51
Author(s):  
Khatira Dovlatova Khatira Dovlatova
Keyword(s):  
Consumer Behavior ◽  
Online Shopping ◽  
Fuzzy Ahp ◽  
Rapid Development ◽  
Online Communication ◽  
The Internet ◽  
Main Role ◽  
Simple Method ◽  
Business World ◽  
Online Stores

Internet has covered all sphere of life very fast and the world has begun to incur important changes since the beginning of the new millennium. The rapid development of the Internet and the fact that online interaction takes place in a virtual environment at any time of the day make online communication one of the basic communication tools. In this context, online platforms have turned into new markets for businesses. The simple method to contact individuals is presently getting more conceivable with the web. It has begun to provide consumers with the opportunity to shop at anytime and anywhere. Undoubtedly e-marketing is the most important usage sphere of the internet in the business world. Many important characteristics of the internet have played a main role in consumers' buying behavior for online stores. In this regard, defining the factors which influence the behavior of consumers in online shopping is a key element for businesses and marketers to guarantee efficiency. Keywords: multi-criteria decision making, consumer behavior, factors affecting online shopping, fuzzy AHP, eigenvalue, eigenvector

Understanding the Influence of Online Flow Elements on Hedonic and Utilitarian Online Shopping Experiences: A Case of Online Group Buying

2014 ◽  
Vol 28 (2) ◽  
pp. 287-306 ◽  
Author(s):  
Weng Marc Lim
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Shopping ◽  
Equation Modeling ◽  
Systematic Sampling ◽  
Future Research ◽  
Group Buying ◽  
Online Consumer Behavior ◽  
Shopping Experience ◽  
Online Group

ABSTRACT This study aims to understand the relationship between online flow elements and hedonic and utilitarian online shopping experiences and the influence of these experiences on consumer behavioral intentions. The study, which uses online group buying as a research context, is premised on the marketing perspective of online consumer behavior and the information systems perspective of human-computer interactions with online interfaces. Data were obtained through a mall-intercept systematic sampling distribution of questionnaires, and analyzed using structural equation modeling. The results indicate that online flow elements (arousal, challenge, time distortion, control, interactivity, and skill) are positively related to online shopping experiences (hedonic and utilitarian), which in turn are positively related to online group buying (or purchase) intention. All relationships were significant except that between telepresence and hedonic online shopping experience and that between importance and utilitarian online shopping experience. The implications of the findings and future research directions are discussed.

scholarly journals Perlindungan Hukum terhadap Konsumen yang Dirugikan pada Transaksi Elektronik di PT. Orindo Alam Ayu

2020 ◽  
Vol 1 (1) ◽  
pp. 74-79
Author(s):  
Ratih Cahya Pramitasari ◽  
I Nyoman Putu Budiartha ◽  
Ni Made Sukaryati Karma
Keyword(s):  
Electronic Commerce ◽  
Research Method ◽  
Online Shopping ◽  
Rapid Development ◽  
Legal Protection ◽  
The Internet ◽  
Electronic Transactions ◽  
Final Settlement

In this Development Era, the rapid development of electronic-based trading. Of course the need for the internet as a medium that connects important online shopping pages. This is what is called E-Commerce, which is a form of electronic-based trading. One company engaged in electronic commerce uses PT. Orindo Alam Ayu. Therefore, the authors are interested in discussing various problems that often occur in this company by pouring in the form of a thesis entitled Legal Protection Against Consumers who are disadvantaged in electronic transactions at PT. Orindo Alam Ayu, with the formulation of the problem 1) How is the legal protection for consumers who are disadvantaged in electronic transactions at PT. Orindo Alam Ayu? 2) How to resolve disputes against consumers who are disadvantaged through electronic transactions at PT. Orindo Alam Ayu? The research method used is empirical research.A loss that is often experienced by consumers who make electronic transactions at PT. Orindo Alam Ayu can do the transfer. Shipping and delivery of goods from PT. Orindo Alam Ayu to the consumer. Consumers take advantage of time, because they have to make complaints to the business, to the channeling of funds, namely banks. Therefore, PT. Orindo Alam Party business assistance here As well as resolving disputes over consumers by fixing money disputes related to each consumer. So the final settlement does not reach the end of the path, licensing can be completed properly. 

Eco-Packaging Solution for Express Service in the Era of Online Shopping

2014 ◽  
Vol 1052 ◽  
pp. 578-582 ◽  
Author(s):  
Jun Jie Zhang ◽  
Shan Shan Yang
Keyword(s):  
Environmental Pollution ◽  
Online Shopping ◽  
Rapid Development ◽  
Packing Material ◽  
Utilization Rate ◽  
The Internet ◽  
Consumption Level ◽  
Cyclic Utilization ◽  
Packaging Industry ◽  
Express Industry

With the development of the internet and the increase in people’s consumption level, online shopping has become increasingly popular with the boom in the online shopping having contributed directly to the rapid development of the whole express industry, which is now experiencing the surge in the business to make the number of the packing bags consumed in the express industry increased at a geometric rate. However at present, the following situations have occurred in Chinese logistical packaging industry: (1) excessive packaging and repeated packaging; (2) the environmental pollution caused by the packing material; (3) the low cyclic utilization rate of the packaging.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

Sign in / Sign up

Export Citation Format

Share Document