Benefits Of Online Shopping Research Articles

Online Purchasing Decisions Affected by Social Factors and Functionality

Online shopping has been experiencing continuous growth over the past few decades, a trend that was further accelerated by the COVID-19 pandemic. There is no expectation that this trend will slow down in the near future. The goal of this paper is to investigate specific factors, which could affect purchasing decisions on the Internet. We created two models, tested and compared them applying logistic regression on the sample of 1318 adults. Model 1 was designed to test the importance of other customers’ reviews by purchasing decisions. Model 2 tested the financial/non-financial benefits of online shopping. In model 1, we identified these statistically significant predictors related to social characteristics 1. Gender, 2. Study at university, 3. Identification with statement, 4. Purchase on electronic marketplaces, and with functionality: 5. The most trust-inspiring e-shop function, 6. Comparison of similar products from different sellers before purchasing. These factors explain, according to Nagelkerke R, 0.196 variability. In the second model for the social characteristics were: 1. Type of settlement, and for functionality: 2. Preferred payment option, and they explain 0.0341 variability of the dependent variable.

Research on Organization and Management in Taobao Operation

Credit swiping is a reality due to various flaws in Taobao's credit rating mechanism. As e-commerce enterprises' influence and service capabilities grow, the benefits of online shopping are further underlined. On April 21, 2003, Alibaba Cloud Computing purchased the domain name taobao.com. Today's mainland e-night shopping sector has seen C2C grow more faster than B2C recently. iResearch statistics indicate that Taobao's daily user increase is about 19,025. The Taobao business model is contradictory in and of itself. On the basis of this, Taobao.com creates a credit rating system.The primary sources of revenue for Taobao.com in 2018 are advertising and website click through fees, although this is not a sustainable business model. This article examines the C2C Taobao.com e-commerce business model without mentioning B2C mode. Additionally, Taobao is the indisputable market leader in vertical B2C and integrated B2C profit thanks to years of work developing consumer online purchasing habits. There is presently a three-way competition between Taobao, Eachnet, and Paipai on the local C2C market.

I can’t believe online. A study on how negative reviews move online shoppers to offline channel

Despite the benefits of online shopping, we easily observe consumer behaviour when making purchases through offline channels. Why do they choose to go offline by taking the effort to go there? As a factor influencing decision-making, this study assumes that distrust of online shopping increases webrooming intentions that online consumers move to offline channels. Consumers check online reviews as well as seller information to increase their purchasing confidence. There are few studies on the effect of negative online reviews on consumers' purchasing decisions. Contrary to the pessimistic results of previous studies, the results of this study explain the mechanism by which consumers who saw negative online reviews feel distrust of online shopping and go to offline stores. It provides implications for understanding the migration phenomenon of online shoppers to offline channels and what strategies should be prepared to retain and attract customers to each channel.

Research on the enterprise online marketing mode based on data mining

With the development and popularity of mobile networks, online shopping has gradually become a trend. For enterprises, the traditional marketing mode has been difficult to play an effective role when facing the emerging online shopping mode. This study aims to improve the revenue benefits of online shopping. This paper first introduces the traditional marketing mode and then selects the data mining model used for consumption preference segmentation to build an online marketing mode. An example analysis was conducted on a book sales company and a real estate company. The results showed that more users in this community preferred five types of books, and the percentages from high to low were teaching and learning materials, modern novels, popular science books, historical literature, and classical novels; more customers preferred online platforms among the channels for collecting information on home purchase. No matter it was the book sales company or the real estate company, compared with no fluctuation in the company’s turnover under the traditional marketing mode, the turnover of the company increased month by month after adopting the online marketing mode.

Evaluating Customer Trust in E-Commerce with a Combined Approach to Structural Equations and Artificial Neural Networks

Purpose: Due to the increasing familiarity of people with the Internet and considering the many benefits of online shopping, the fields of its use have grown rapidly. At such a stage, in case of mistrust among customers, this new phenomenon will fail in the first steps of progress. Organizing and supervising online stores is one of the essential indicators of e-commerce development, so that the electronic receipt and payment system for providing goods must be done in a safe and correct environment. Methodology: In this paper, various descriptive and inferential methods as well as neural network method for data analysis and PLS intelligent software are used to establish causal relationships of independent variables with dependent variables and MATLAB software is used to measure and predict dependent variables. Findings: The proposed model showed the priority and importance of key parameters and indicators affecting online trust. Originality/Value: The most important purpose of this study is to examine the dimensions and components of trust in the context of online shopping. Structural equations, as well as neural networks, have been used for this analysis.

ПРОБЛЕМИ ДОСТАВКИ ТОВАРІВ В ЕЛЕКТРОННІЙ КОМЕРЦІЇ

The article discusses modern trends in the development of e-commerce logistics, the organization of order delivery processes, the directions of integraction between e-commerce subjects in an integrated digital space. Indicators of growth in online commerce and the impact of the COVID-19 pandemic on an demand increasing and consumer behavior are presented. Сhanges in behavior should not be considered as linear, because the attractiveness of e-commerce will depend on the satisfaction of new experiences of customers who were forced to use e-commerce services and mastered the one-click procurement procedure by placing orders online and receiving goods without visiting stores. Ukrainian consumers fully appreciated the benefits of online shopping and in 2020 they spent on online shopping 107 billion UAH, which is 41% more than last year. Since a condition for the further effective development of e-commerce is the need to streamline all stages of trade operations, including the logistics processes rationalization, the logistics of online purchases is turning into an economic sector with intensive growth rates. This is confirmed by the efforts of leading companies to provide customers with alternative channels for obtaining goods, the use of multichannel distribution, integrated order management systems, uberization of supplies, shopping personalization, building up intangible assets associated with the expansion of their own transport capacities, arrangement of modern warehouses in order to ensure flexibility and high customer requirements satisfaction. Covering a number of interrelated areas of interaction and interests of e-commerce entities, data exchange of several internal and external systems, e-commerce logistics, based on the use of integrated order management systems, meets the e-commerce pace of development, provides control over sales processes through e-commerce platforms, prompt delivery, ease of platforms operation, forecasting of production volumes.

Examining the risk factors affecting the image of online stores in Malaysia

This study examined the influence of various dimensions of perceived risk (i.e., delivery risk, financial risk, product-performance risk, social risk, and convenience risk) on the image of online stores. This study adopted a cross-sectional design and the quantitative data were collected from 330 conveniently selected respondents from Peninsular Malaysia. The findings revealed that financial risk, social risk, and convenience risk had a significantly negative effect on the image of online stores in Malaysia. Apart from extending the existing electronic commerce literature, this study provided in-depth insights into the role of perceived risk in the consumers' decision process during online shopping. It is recommended that the governments and online organisations should adopt policies and programs that could enhance the safety of financial information and secure the transactions of online shoppers while maintaining a user-friendly online platform. It is also worthwhile to implement strategies that could raise social awareness regarding the benefits of online shopping and electronic consumerism.

Smart Store-Shopping using BLE Technology

Shopping from stores in malls remain one of the most favored places of people. Customers can try and test products on the spot itself. On the other hand, the advancement in networking technologies, the increasing internet speed and powerful online tools have led to businesses going online which has led to wide emergence of E-commerce in the last decade. Every type of product is available online and due to the presence of vast online competition, the customer gets cheap and amazing offers for products. E-Commerce provides users with a detailed product catalog, online payment gateway, precise description of different products and user reviews. However, in online shopping, there is no guarantee of product quality and customers do not get the touch and the feel of the product. The proposed system attempts to provide a platform that uses the benefits of online shopping and adds it into existing features of traditional store shopping, thus provides a smarter shopping experience. In order to achieve this goal, the proposed system creates a smart shopping environment in physical shops using BLE Technology. As demonstrated by the implementation results, the users of the proposed solution are provided the details of products lying in the vicinity to the section of the store they are visiting. The details are provided on the android phones of the user using the proposed low-cost Beacons placed on different products in the physical stores.

PENGARUH KEPERCAYAAN PELANGGAN TERHADAP NIAT PEMBELIAN GADGET DI SHOPEE INDONESIA

Along with the development of e-commerce in Indonesia, customers are increasingly fond of shopping online to meet their needs including the needs of gadget products. However, despite the many benefits of online shopping, online shopping also has many risks to be faced. Meanwhile, whether or not a person's desire to shop online depends on the amount of benefits he receives when shopping compared to the risks he or she may encounter. One factor that can affect customers in shopping for gadgets online is the trust of customers towards online sellers. This is due to the difficulty of building trust between customers and sellers because they can not meet face to face and the product being sold can not be seen or held in the real way. This research uses descriptive and correlational method. Technique of collecting data of this research is spreading of questionaire to sample of research. After getting the data from the research sample then do the validity and reliability test data. Data that is valid and reliable then processed to know the respondent's assessment of customer trust and purchase intentions. To know the influence of customer trust on purchasing intention done linear regression analysis and t test. After doing these tests then make conclusions and suggestions. From the results of research can be concluded that Shopee Indonesia’s customers trust to gadget products are less good so affecting the intention of purchasing gadget products in Shopee Indonesia is not good . Keywords: word of mouth, customer trust, purchase intention

A Semi-supervised Approach for Opinion Mining using Online Product Review

The growth of the internet as a secure online shopping channel has developed since 1994. With the Increasing number of e-commerce portal, we are now heavily inclined to online shopping. One of the benefits of online shopping is the ability to read reviews about the product purchased. This paper presents a semi-supervised approach for opinion mining using online product reviews obtained from Amazon website. A semi-supervised model regards identifying opinion relation as an alignment process and gives more precision in comparison to unsupervised model. Opinion mining of online reviews is needed for first-hand assessments of product information and direct supervision of their purchase actions. Manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion.

Millennials' Purchase Intention Towards Online Travel Agent in Indonesia

This study investigates the factors that impact Indonesian millennials when purchasing airline tickets through the Online Travel Agent. Millennials’ purchase intention is the focus of this study because millennial is half of Indonesia’s financially strong population and is tech-savvy. Thus this generation is very likely to shop online. Four factors proposed in this study, namely ease of payment, trust, benefits of online shopping, and information quality, were hypothesized to affect millennial's purchasing decision. Data is gathered from millennials who have bought airline tickets online. The questionnaire is spread online, and data from 94 valid respondents is collected. To test the hypotheses, the data is analyzed with Multiple Linear Regression using SPSS. The adjusted r-square result is 0.483, which means that 48.3% of the variability of the dependent variable is explained by the four independent variables. While the t-test result suggests that, out of the four factors previously found to affect purchase intention in general, only three affect millennials’ purchase intention, namely ease of payment, trust, and benefits of online shopping. Information quality is found to have an insignificant effect towards millennials’ purchase intention.

Impact Of Online Shopping On Conventional Retail Stores In South Goa (India): An Empirical Study

E-commerce is buying and selling of goods and service online. Internet is the best source to use this tool. Today the amount of trade that is conducted electronically using ecommerce has increased with a wide spread usage of internet and technology. Through E- business different types of business have gained an opportunity to increase their sale and can maintain a direct relationship with the customers without any person between you and your customer. Online shopping provides all types of goods available in the virtual world. More and more consumers are turning to the World Wide Web (w.w.w) for their shopping needs which gives them access to either local or international products with just a click of the mouse.Online shopping is a form of e-commerce which allows consumers to directly buy goods and services over the internet through a virtual shop. People find it convenient and easy to shop from the comfort of their home or office.One of the great benefits of online shopping is the ability to read product reviews written either by experts or fellow online shoppers. In addition to online reviews, peer recommendations on online shopping pages or social media websites play a key role for online shoppers. When they are researching future purchases, 90% of all purchases made are influenced by social media, (Pick, 2015).The number of customers of the company has augmented from one million users to 2.5 million in India in the last four years. Some of the popular imported items imported by Indians include home decor, branded and unbranded apparel, accessories, and technology products like laptops, (Hiwarkar, T.2013).

Pengaruh Kemudahan Penggunaan dan Manfaat yang Dirasakan terhadap Sikap dan Niat Pembelian Online (Studi pada Pembelian Batik di Jawa Timur)

<span><em>The design of this study are included in the confirmatory </em><span><em>research and research as well as explanatory. Analysis technique used is to </em><span><em>use the Structural Equation Modeling </em><span>(SEM).<span><em>. Data retrieval techniques using </em><span><em>purposive sampling method with the number of respondents 140 respondents. </em><span><em>The results showed that: (1) Ease of use online shopping perceived </em><span><em>significantly influence consumers 'attitude towards online purchases batik in </em><span><em>East Java, (2) the perceived benefits of online shopping significantly influence </em><span><em>consumers' attitude towards online purchases batik in East Java, (3) Ease of </em><span><em>use online shopping perceived significant impact on repeat purchase intention </em><span><em>online Batik in East Java, (4) the perceived benefits of online shopping does </em><span><em>not significantly influence online purchase intentions in batik in East Java, (5) </em><span><em>the attitude of influential consumers significant impact on repeat purchase </em><span><em>intention online batik in East Java.</em></span></span></span></span></span></span></span></span></span></span></span></span><br /></span></span></span>

The influence of prior experience and age on mature consumers' perceptions and intentions of internet apparel shopping

PurposeThe purpose of this study is to investigate mature consumers' perceived risks and benefits and purchase intentions in the context of online apparel shopping and the role of age and past experience in their perceptions and intentions.Design/methodology/approachA national sample of 293 US male and female mature consumers (born in or before 1964) participated in a mail survey. Structural equation modeling was used to test the hypotheses regarding relationships among mature consumers' age, prior experiences, perceived risks and benefits, and purchase intentions.FindingsThe study revealed that perceived benefits regarding product and price offerings and perceived financial risk were significant predictors of mature consumers' online apparel purchase intention. In addition, the level of past online shopping experience was a strong antecedent of the mature consumer's perceived risks and benefits of online shopping. Age and general internet experience showed limited influences on mature consumers' perceptions and purchase intentions.Research limitations/implicationsThe study provides numerous implications for future research with regard to the challenges mature consumers may experience in adopting the internet as a shopping medium.Practical implicationsFindings from the study suggest that online retailers targeting mature consumers need to be aware of limitations and difficulties that mature consumers may face and to develop their web sites and communication messages to meet the specific needs of these consumers.Originality/valueThe study provides valuable insight into the mature consumers' internet shopping phenomenon, addressing a gap in the literature. The use of a national sample allows for generalization of the findings.