Product Information Research Articles

Review of Research on E-commerce Short Videos

Short videos are innovative video content created through simple and quick shooting and post-production using smart devices, allowing for instant publication and sharing on social media platforms. Although there are various definitions, short videos are typically considered to be limited to a few minutes in length, easily watchable, diverse in content form, and highly engaging for users. The short video e-commerce model revolves around consumers, utilizing the creation of short video content embedded with product information to synchronize the circulation of products and content, making it one of the primary business models. Its development can be divided into three stages, covering the processes of mutual integration between short video platforms and e-commerce platforms, rapid development, and deep integration. The operational models of short video e-commerce mainly include three forms: "short video + e-commerce," "e-commerce + short video," and "short video e-commerce platform," each with its own characteristics. E-commerce short videos use short videos as carriers to promote product information through content marketing. Users participate in purchase decisions by watching videos, liking, commenting, and other behaviors, representing a specific manifestation of the "short video + e-commerce" model. During the marketing process, users experience sequential transitions from the "viewing" scene to other scenes, with the characteristics of short video content playing an important role in influencing user purchasing decisions.

A Stochastic Frontier Analysis of the Performance of Livestock in the North-Eastern Cape Communal Rangelands, South Africa

This paper examined the technical efficiency of livestock in Eastern Cape Province, South Africa, to improve the understanding of the performance of livestock production of rural households in the communal rangelands. Surveys from 120 households were used to estimate a stochastic frontier model to assess livestock production's technical efficiency (TE) amongst households in a communal production environment where rangelands are the primary source of fodder. The estimated coefficients of the stochastic frontier model indicated that livestock units (LSU) and costs of additional feed supplements positively influenced livestock output per household. Management practices such as livestock kraaling and livestock herding influenced TE positively. An average technical efficiency score of 0.79 was estimated among households, suggesting that an improvement in efficiency could be achieved if proper interventions were employed. These interventions may include programmes such as the Extended Public Work Programmes to provide livestock herding support, gender-sensitive strategies that support the inclusion of women in livestock production, and other labour inputs related to animal husbandry. Lastly, this study provided essential information in understanding livestock production and informed policy about possible interventions that could potentially improve livestock production in rangelands.

Insights from Dynamic Pricing Scenarios for Multiple-generation Product Lines with an Agent-based Model using Text Mining and Sentiment Analysis

Corporations must constantly upgrade and improve their offerings due to changes in customer preferences. It is a common strategy for firms in technology-intensive markets to use online reviews as a source of product information to inform such changes. This user-generated information is valuable since it provides companies with valuable and low-cost input. In this paper, we propose an agent-based model for simulating potential cannibalization situations with respect to customer satisfaction throughout consecutive generations of a product line. The level of customer satisfaction is regarded as a parameter in the model, which is conceptualized to affect the product price. The proposed model provides insights into different pricing strategies regarding customer satisfaction levels affect the total lifecycle profitability of multiple-generation product lines, and how they can be used to assist organizations in developing appropriate dynamic pricing strategies.

IoT Based Smart Trolley for Auto Billing

This paper proposes the development of a Smart Trolley system aimed at enhancing the shopping experience by automating the billing process. The system integrates Raspberry Pi, a low-cost, credit-card-sized computer, and RFID (Radio-Frequency Identification) technology to create an efficient and seamless checkout process for customers in retail environments. The Smart Trolley employs RFID tags attached to products and an RFID reader mounted on the trolley to identify items as they are placed inside. The Raspberry Pi processes the RFID data and maintains a running total of the items in the trolley. Additionally, it communicates with the store's database to retrieve product information and pricing. Through this integration, the Smart Trolley eliminates the need for manual scanning of each item at checkout, reducing waiting times and enhancing overall efficiency. Moreover, the system provides real-time updates on the total bill, allowing customers to track their expenses as they shop. This paper outlines the design, implementation, and testing of the Smart Trolley system, demonstrating its effectiveness in automating the billing process while improving the shopping experience for customers. The proposed system holds promise for revolutionizing retail operations, offering a glimpse into the future of smart, technology-driven shopping solutions. Key Words: Autobilling, Rasberry Pi, RFID(EM-18), LCD, Smart Shopping, IoT.

Pengaruh Live Streaming Tiktok Sebagai Aplikasi Komunikasi Digital Dan Dampaknya Pada Purchase Intention (Studi Kasus Brand Senikersku)

The digital age brings significant changes with the advent of computer information technology and the internet. Digital media provides easier and faster access to information, allowing direct interaction between individuals and organizations through various platforms, including TikTok live streaming. TikTok has become popular as a digital communication platform that allows brands to interact directly with consumers, including in the context of the Snikersku brand. This study aims to analyze the effect of TikTok live streaming as a digital communication application on consumer purchase intention for skincare products for Brand Senikersku. This research uses a descriptive analysis method with a qualitative approach, mainly through literature study. Data was collected from various sources such as books, journals, the internet, and previous research to gain a deeper understanding of the influence of TikTok live streaming on consumer purchase intention. The results showed that TikTok live streaming has a significant influence on consumer purchase intention towards Brand Senikersku. Direct interaction between brands and consumers, as well as entertainment and product visualization presented in live streaming, play an important role in increasing consumer purchase intention. In TikTok live streaming, entertainment and product visualization are key to influencing consumer purchase intentions. The combination of live interaction, entertainment, and product information increases brand awareness, builds trust, and increases sales for the Snikersku brand.

The power of online reviews: Exploring information asymmetry and its impact on green product purchasing behavior

AbstractManufacturers must convey accurate information about their green products to gain consumer trust. However, some manufacturers provide misleading information by falsely claiming that their products fully adhere to green concepts. Consequently, research is needed to examine customer behaviors and how they respond to information about green products. This study models the relationship between green product information asymmetry, online review quality, the propensity to trust and adopt reviews, and green product purchasing behavior. The study participants were 479 consumers who purchased green products. Data for the study were collected through an online questionnaire that was distributed on social media platforms and analyzed using partial least squares structural equation modeling. The results show that information asymmetry positively affected online review quality, review adoption, and green product purchasing behavior, while online review quality positively affected participants' propensity to trust reviews, review adoption, and purchasing behavior. The propensity to trust reviews positively affected review adoption and purchasing behavior, and review adoption positively impacted green product purchases. These results show that information asymmetry highlights the importance of consumer reviews in green product purchasing behavior. Therefore, both information asymmetry and consumer reviews influence green‐product consumption. When constructing green marketing strategies, green product manufacturers must focus on a combination of perceived value and consumer trust and modify their products, production processes, packaging, and advertisements accordingly.

The influence of disclosing product lifecycle carbon footprint information on consumer purchase intentions based on the APE model perspective: An ERP and questionnaire study

BackgroundCarbon emissions are increasingly becoming the primary cause of climate change, and carbon information disclosure can affect consumer purchase intentions. However, existing studies only focus on the disclosure of carbon information for a single lifecycle stage, gnoring consumers' overall perception process. MethodsThis study uses scenario experiments and event-related potential experiments in combination, based on the associative-propositional evaluation (APE) model, to explore the differences in the impact of disclosing product information with high carbon emissions in different lifecycle stages (production stage, use stage, recycling stage) on consumers' purchase intentions. ResultsThe questionnaire results found that consumers' willingness to purchase products with high carbon emissions in the use stage was the lowest; The behavioral results found that the purchase rate of products with high carbon emissions in the recycling stage was the lowest; The brain electricity results found that products with high carbon emissions in the use stage induced the largest P2 component; Products with high carbon emissions in the recycling stage induced the largest N2 component. ConclusionThe attitudes of evaluation with proposition dominance among consumers tend to attribute carbon emissions in the use stage to their own behavioral choices. The attitudes of evaluation with association dominance among consumers reflect the cognitive conflicts existing in consumers' understanding of carbon emission information during recycling. This study expands the perspective of researching the disclosure effects of product carbon footprints and provides references for corporate marketing strategies and policy formulation.

Analisa Rantai Pasok (Supply Chain) Bahan Baku pada Industri Kuliner Bebek dan Ayam Goreng (Studi Kasus : Depot Bebek dan Ayam Goreng Pak Qomar)

The aim of the research is to determine the flow of the duck supply chain which includes product flow, financial flow and information flow from duck breeders to the restaurant "Pak Qomar Duck and Fried Chicken Depot", to find out whether or not the supply chain is efficient and effective. happens from the breeder to the restaurant, and to find out the added value of the breeder, supplier, and the "Bebek Pak Qomar" restaurant. The results of this research are that there are 2 links that play an active role in the duck meat supply chain to the final consumer: (a) duck breeders and (b) duck suppliers. There are only two types of product flow in the duck meat supply chain at the "Bebek Pak Qomar" restaurant, namely the product flow in the form of live ducks originating from the farmer to supplier 2/3 and from supplier 2/3 to supplier 1, and to "Bebek Pak Qomar" restaurant for processing. The flow of information in the duck meat supply chain at the "Bebek Pak Qomar" restaurant is divided into two types of flow, namely the horizontal flow of information that occurs between fellow duck breeders and suppliers and suppliers and restaurant managers and the vertical flow of information that occurs at each eye. chain involved in the duck meat supply chain at the "Pak Qomar" restaurant. Financial flows in the duck meat supply chain at the "Bebek Pak Qomar" restaurant occur in 1 type of flow with the payment transaction system used during the distribution process greatly influencing the performance of each link in the chain. Measuring the amount of added value obtained using the added value calculation method xi and using BEP (Break Even Point) at the duck farmer level. The conclusion obtained from this research is the supply chain flow which includes the flow of products containing live ducks which are sent by breeders to suppliers and then to retail traders to be processed into processed duck meat at the "Bebek Pak Qomar" restaurant and served to final consumer.

КЛЮЧЕВЫЕ АСПЕКТЫ УПРАВЛЕНИЯ КАЧЕСТВОМ НА РЫНКЕ ИНФОРМАЦИОННЫХ ТЕХНОЛОГИЙ

The interrelation of information products and services, the need to implement quality management systems that meet international, state and industry standards, and the advantages and disadvantages associated with this are considered

Counterfeit Products Detection using Blockchain

Blockchain-Based Supply Chain Management is a novel approach to enhancing the transparency, security, and trustworthiness of supply chains. In this study, we explore the design and implementation of a blockchain-based system that enables manufacturers, suppliers, and customers to collaborate seamlessly in tracking and verifying product information. The proposed system utilizes the intrinsic characteristics of blockchain, including decentralization, resistance to tampering, and transparency, to mitigate counterfeiting and establish trust within the supply chain.The proposed system leverages blockchain's inherent features, such as decentralization, tamper-resistance, and transparency, to reduce counterfeiting and build trust in the supply chain. We discuss the architecture and key components of the system, including the role of SQL databases and Metamask wallet integration. Additionally, we highlight the process flow, from manufacturers assigning unique serial numbers to customers verifying product authenticity through QR code scans. This research presents a comprehensive solution for supply chain management, offering potential applications beyond product tracking, including in banking, healthcare, and e-commerce. Key Words: Blockchain, Supply Chain Management, Counterfeiting, Transparency, Product Authentication

Research on integration of enterprise ERP and E-commerce systems based on adaptive ant colony optimization

Integrating the E-commerce system with an enterprise resource planning tool can help the firm improve performance, maintain customers, and increase sales. In Enterprise Resource Planning, integration features can be provided either as developed features or as separate assignments and contributions. Problems with the online platform, improper addresses, rejected payments, and especially apparent transactions are frequent problems for online buyers. The enhanced Adaptive Ant Colony Optimization is utilized to optimize the rural E-commerce express of transportation. Several innovative routes can lower the downlink transportation cost and reach all collecting places with a fast delivery route. Convolutional Neural Networks were utilized to increase the collective innovation of the E-commerce platform and simplify network communication. E-commerce is a mechanism used to market information services and products. Hence, ERP-AACO-CNN has been designed to integrate Enterprise Resource Planning and E-commerce, and business operations can stream smoothly from the front to the back of the business. Statistics on sales orders, customers, stock levels, price, and essential performance measurement systems. The automated invoices, frequent communications, financial report preparation, product and service delivery, and material requirements planning. The most significant results will likely finance businesses that employ it as a stimulant for a wide-ranging process improvement. In addition, E-commerce is a valuable innovation that connects buyers and sellers in various corners of the globe. Customer satisfaction is projected to be more significant than fault detection at 95.2 % accuracy for the proposed method’s E-commerce system with the superior value. According to client demand, an E-commerce system is the most accurate development at a given input level, and a future ERP is 64.9% efficient. The proposed approach has a 24.5% random error rate and a 13.2% mean square error rate. A comparison of E-commerce and enterprise ERP precision to the proposed technique yields 83.8% better results.

Rent My Stuff

This research introduces "Rent My Stuff," a novel e-commerce platform designed to address the underutilization of expensive items by enabling peer-to-peer item rental. In contemporary consumer culture, numerous products incur significant costs but experience limited personal use. "Rent My Stuff" provides a solution by allowing users to upload items for short-term leasing, catering to individuals who cannot afford to purchase items for infrequent use. The platform differentiates itself from traditional online marketplaces by focusing on the temporary lease of items rather than outright ownership. The user-friendly interface facilitates the easy upload of items, requiring essential lessor information such as address proof and location. User authentication through login allows for the addition of multiple products and personal details, enhancing the platform's versatility. Safety considerations are paramount, leading to the inclusion of a rent payment feature. This feature ensures accountability between lessors and lessees, contributing to a secure and transparent transaction environment. The underlying database, implemented in PHP, securely stores product information and user data. An analysis of existing systems reveals a gap in the market, with current applications primarily supporting the buying and selling of used items but lacking features for short-term item leasing. The proposed system aims to bridge this gap by providing a technology-oriented, cost-effective, scalable, and robust solution for renting items to users. The project follows the Spiral Model of Software Development, incorporating communication, planning, modelling, construction (coding and testing), and deployment phases. Modules include user authentication (login and sign- up), a map feature for contacting developers, and a checkout module for payment and finalizing the lease. Key Words: E-commerce, Online marketplace, Item rental, Sharing economy, Product leasing, Platform for renting

TAVAC: comprehensive review of currently available hemostatic products as adjunct to surgical hemostasis.

The use of hemostatic agents by general surgeons during abdominal operations is commonplace as an adjunctive measure to minimize risks of postoperative bleeding and its downstream complications. Proper selection of products can be hampered by marginal understanding of their pharmacokinetics and pharmacodynamics. While a variety of hemostatic agents are currently available on the market, the choice of those products is often confusing for surgeons. This paper aims to summarize and compare the available hemostatic products for each clinical indication and to ultimately better guide surgeons in the selection and proper use of hemostatic agents in daily clinical practice. We utilized PubMed electronic database and published product information from the respective pharmaceutical companies to collect information on the characteristics of the hemostatic products. All commercially available hemostatic agents in the US are described with a description of their mechanism of action, indications, contraindications, circumstances in which they are best utilized, and expected results. Hemostatic products come with many different types and specifications. They are valuable tools to serve as an adjunct to surgical hemostasis. Proper education and knowledge of their characteristics are important for the selection of the right agent and optimal utilization.

Fair Data is the New Black: Online Shopping, Data Leaks, and Broadening the Understanding of Sustainable Fashion

Fashion is an embodied form of culture. It builds on intimate information about the wearer, concerning e.g. body shape, size, age, weight and style. As fashion is digitalized, intimate body data is shared in online environments, which raises novel concerns about the privacy of fashion consumers. This is especially visible in online shopping, which has revolutionized fashion retail and data collection practices in fashion, particularly as concerns the secure and fair use of consumer data. We argue that the datafication of fashion should be investigated as part of sustainability discourse, and data fairness be established as a responsibility criterion. We analyzed 32 popular Finnish online clothing stores. Data management was studied by analyzing the online stores’ network traffic to third parties, investigating the transparency of their privacy policy documents and analyzing possible dark patterns in the website’s cookie banners. Our findings raise concerns over data responsibility and privacy in various areas. The analyzed websites had a high number of third-party services, averaging 5.2. Only 17 online stores out of the examined 32 (53%) clearly mentioned that they collected identifying information and product information in their privacy policies, and only five of the stores (16%) had no dark patterns in their cookie banners. Our results also suggest that several brands that are otherwise considered ethical may need to pay more attention to their fair data processing and privacy. This indicates that a wider discussion about data privacy and data handling practices is needed. Fair management of data must be part of the process of evaluating the sustainability of clothing companies.

Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes

Volcano-hazard maps are broadly recognized as important tools for forecasting and managing volcanic crises and for disseminating spatial information to authorities and people at risk. As scientists, we might presume that hazards maps can be developed at the time and with the methods of our discretion, yet the co-production of maps with stakeholder groups, who have programmatic needs of their own, can sway the timing, usability, and acceptance of map products.We examine two volcano hazard map-making efforts by staff at the U.S. Geological Survey. During the 1990s and early 2000s scientists developed a series of hazard assessments and maps with detailed zonations for volcanoes in Washington and Oregon. In 2009, the National Park Service expressed the need for simplified versions of the existing hazard maps for a high-profile visitor center exhibit. This request created an opportunity for scientists to rethink the objectives, scope, content, and map representations of hazards. The primary focus of this article is a discussion of processes used by scientists to distill the most critical information within the official parent maps into a series of simplified maps using criteria specified. We contextualize this project with information about development of the parent maps, public response to the simplified hazard maps, the value of user engagement in mapmaking, and with reference to the abundance of guidance available to the next generation of hazard-mapmakers.We argue that simplified versions of maps should be developed in tandem with any hazard maps that contain technical complexities, not as a replacement, but as a mechanism to broaden awareness of hazards. We found that when scientists endeavor to design vivid and easy-to-understand maps, people in many professions find uses for them within their organization’s information products, resulting in extensive distribution.

COVID-19 Vaccines and Heavy Menstrual Bleeding: The Impact of Media Attention on Reporting to EudraVigilance.

During the COVID-19 vaccination campaign, over 34,000 reports of heavy menstrual bleeding following the administration of COVID-19 vaccines originating in the Economic European Area were submitted to EudraVigilance, the European Union database of suspected adverse drug reactions. More than 90% of these reports were sent by consumers while the remaining by healthcare professionals. Public concerns regarding menstruation disorders in COVID-19 vaccinees were also covered by the media. We investigated the impact of media attention on the reporting trends of heavy menstrual bleeding to EudraVigilance. We used media outlets published in the Economic European Area on menstrual disorders and COVID-19 vaccines from the beginning of the vaccination campaign in the Economic European Area (1 January, 2021) until December 2022 (i.e., after the regulatory request to add the adverse event to the product information) and spontaneous reports from EudraVigilance. We found that the publication of safety updates from regulatory authorities and subsequent coverage in media outlets preceded increased reporting to EudraVigilance. Furthermore, the heavy menstrual bleeding reported in the cases occurred several weeks or months earlier and were not submitted to the respective date. The analysis suggests that the spikes in reporting of heavy menstrual bleeding were to some extent influenced by media coverage in some countries. Consumer reporting to the European Union spontaneous data collection system, EudraVigilance, was of high value for regulatory safety reviews, albeit the reporting behaviours were not free of the influence of the media. These sources of information can be investigated to understand the context of safety concerns of public health interest.

The Influence of Online Reviews on the Purchasing Decisions of Travel Consumers

In this study, we investigate the impact of online review characteristics on consumers’ purchasing decisions in the context of spatial distance. We consider the product experience of online travel routes, geographical location characteristics, and price adjustment factors, as well as the dynamics between consumers and businesses during the booking of travel routes. Through empirical research and large-scale data simulation experiments, we have found that the variability in attributes of tourist routes significantly influences the user recommendation rate, while the overall rating has a positive moderating effect. Furthermore, the number of reviews negatively moderates the relationship between them. Additionally, the product information and service quality of tourist routes also significantly affect the recommendation rate. Finally, we propose a management strategy for tourism route managers to enhance user recommendation rates and achieve greater benefits.

Fashion Recommendation System and Virtual Trial Room

The fashion industry has recently witnessed massive growth in the clothing and textile industries. In e-commerce marketplaces, where there are many options accessible, relevant product material or information can be filtered, arranged, and efficiently communicated to users. As the standard of living increased, people's attention began to shift towards fashion, which is considered to be a common form of aesthetic expression. The development of the fashion business over time has been influenced by this human tendency. The abundance of clothing alternatives on e-commerce sites, however, has made it more difficult for customers to select the ideal outfit. In this article, we describe a personalised fashion recommender system that generates suggestions for the user based on input. In order to enhance the consumer shopping experience, we developed a software application that combines a recommender system with the OpenCV and TensorFlow technologies. This will enable customers to virtually try on clothing without having to wait in a large queue. The application uses OpenCV to map the clothes onto the customer’s body, the customer can then have a look at it and decide whether to buy the clothes or not. According to the results, there is no need to visit trial rooms because the mapping is done precisely onto the user's body. Thus, our app offers a quick, simple, and accurate method of trying on clothing, and we think that will help shape the retail sector.

Analysis of Weibo Short Video Advertising Creation: A Case Study in the Fashion and Beauty Industry

In order to explore the creative characteristics of short video advertisements in the field of fashion and beauty on Weibo, this study uses short videos containing advertisements as sample materials. Based on literature review, it establishes classification indicators for short video advertisements, which are categorized into Unboxing review, Product placement, Item recommendation, and Brand customization. Based on the above classification, this study employs content analysis method to explore the creative patterns and underlying reasons of short video advertisements in the field of fashion and beauty on Weibo from four dimensions: Product information, Video information, Advertisement design, and Appeal strategy. Two creative recommendations for short video advertisement creation are proposed: (1) Mining brand concepts and product characteristics to craft comprehensive short video advertisements. (2) Creating innovative short video advertisements through refined narrative strategies.

The Impact of Electronic Word-of-Mouth on the Purchase Intention of Tourists on Online Hotel Booking Applications

The study emphasizes the growing significance of electronic word-of-mouth (EWOM) in marketing, especially in service industries like tourism. Employing a research model combining the information adoption model (IAM) and the theory of reasoned action (TRA), the study investigates factors influencing EWOM adoption on online travel agency (OTA) platforms using data from 286 Ho Chi Minh City tourists. Analyzing the data through exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM), the results highlight positive relationships between information quantity and product ranking with EWOM adoption. However, information credibility, quality, and reviewer expertise do not directly impact adoption. EWOM adoption directly influences purchasing intention and indirectly affects it through attitude and subjective norm. The findings offer insights for managers to develop effective strategies and enhance competitiveness in the hospitality industry.