E-commerce Applications Research Articles

Design Get up Application E-Commerce Based Web Using the Agile Kanban Method ( Case Study at Bandung Digital Marketing Friends )

Study This gives a clear view of How a company can face problem displacement sales from marketplaces to e-commerce websites, companies realize that depending on the marketplace it has a number of limitations and challenges.From the problems mentioned above, then _ proposed For building purposeful web application For design and develop web-based e-commerce application. In this process, System web applications use modeling Draw Io system, with PHP programming language, and phpMyAdmin database, PHP Framework Laravel 9.Test results on the system This shows that from the results Index percentage earned on each _ statement pointed out average results the percentage is 74.66% With results, then it is stated in testing to achievement utility application stated worthy accepted with Satisfactory status

Influence Social Media Marketing, Content Marketing And Event Marketing Towards Purchase Intention Mediated By Customer Engagement

The Fast Moving Consumer Good (FMCG) industry, one of Indonesia's main industries which is closely related to the retail sector, and makes a significant contribution to the national economy, especially food and beverages, experienced an increase of 3.6% in the first quarter of 2022. Transformation of the e-commerce business model Currently, it is not only limited to the B2C (business-to-customer) e-commerce business model, but the B2B (business-to-business) e-commerce business model has spread in Indonesia, making it easier for retail businesses to meet their stock needs for goods for sale. In this study, AMOS version 24 was used to process data from 250 respondents and the quota sampling method from five regions and the criteria for respondents using B2B e-commerce applications. The research focuses on looking at the impact of marketing via social media, marketing content and marketing events on customer interests which mediate purchasing intentions. The results showed that marketing via social media and customer presence had a positive and significant effect on purchase intentions, then marketing events had a positive and significant effect on customers. Meanwhile, marketing content and marketing events have no effect on purchase intentions, marketing via social media and marketing content also do not have a positive and significant effect on customers. Meanwhile, the mediating effect of customers is unable to provide a positive and significant influence on marketing via social media and marketing content on the purchase intention of stall or grocery store owners using B2B e-commerce applications.

Mining User Opinions: A Balanced Bangla Sentiment Analysis Dataset for E-Commerce

The utilization of sentiment analysis has gained significant importance as a valuable method for obtaining meaningful insights from textual data. The research progress in languages such as English and Chinese has been notable. However, there is a noticeable dearth of attention towards creating tools for sentiment analysis in the Bangla language. Currently, datasets are limited for Bangla sentiment analysis, especially balanced datasets capturing both binary and multiclass sentiment for e-commerce applications. This paper introduces a new sentiment analysis dataset from the popular Bangladeshi e-commerce site “Daraz”. The dataset contains 1000 reviews across 5 product categories, with both binary (positive/negative) and multiclass (very positive, positive, negative, very negative) sentiment labels manually annotated by native Bangla speakers. Reviews were collected using an organized process, and labels were assigned based on standardized criteria to ensure accuracy. In addition, a benchmark evaluation of the performance achieved by Machine Learning and Deep Learning algorithms on this dataset is also provided. The new dataset can aid research on multiclass and binary Bangla sentiment analysis utilizing both machine learning, deep learning, and Large Language Models. It can aid e-commerce platforms in analysing nuanced user opinions and emotions from online reviews. The utilization of categorized product reviews also facilitates research in the field of text categorization.

B2B E-commerce Application Development: Case Study of Implementing Innovative Features to Increase Business Transaction Efficiency PT. Bening's Indonesia

The very rapid development of Information Technology at this time which also directly supports the development of the internet at this time has led to the emergence of new technologies such as social media, artificial intelligence (AI), e-commerce, and other technologies. E-Commerce or electronic commerce is a way to sell and buy goods or services via the internet network. Bening's Distributor Medan SUMUT is one of the partners of a company that operates in the field of selling skincare and body care products and needs for skin and beauty care, namely PT. Bening's Indonesia. The system currently running includes Business to Business and Business to Customer which is done manually via WhatsApp chat so it takes quite a long time, especially for partners or customers who need goods quickly

The consumer intention to use e-commerce applications in the post-pandemic era: a predictive approach study using a CHAID tree-based algorithm

PurposeThis study proposes a hierarchic segmentation that develops a tree-based classification model and classifies the cases into groups. This allows for the definition of e-commerce user profiles for each of the groups. Additionally, it facilitates the development of actions to improve the adoption of the online channel that is in such high demand in the current pandemic COVID-19 context.Design/methodology/approachRegarding the created segments, two extreme segments stand out due to their marked differences and high volume. Segment 3 with 23% of the sample is the group with the most predisposition to use the online channel and is characterised by a high level of trust, more habitual use in comparison with other groups and the belief that its use implies high performance, which indicates they believe it to be useful, quick and helpful for more an effective shopping experience. The other extreme is found in segment 7. This group makes up 17.7% of the total and is the most reluctant to use the online channel. These users are characterised by the complete opposite: they have a low level of trust in this channel. However, the effort expectancy is low, i.e. they consider that the adoption of the online channel does not involve many difficulties in its learning and use. Nevertheless, they use it less regularly than the others.FindingsBased on the conclusions reached in this study, in the current pandemic context in which consumer demand for online shopping channels for all types of products is on the rise, it is recommended that companies focus on the following aspects. It is essential to build trust with the user and show them the real benefits of e-commerce, how it would improve their life and why they should use it. Additionally, it is vital that the user perceives it as an easy procedure that does not require a significant learning curve. Other fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process, to make it as easy as possible, and to design a simple, intuitive and user-friendly interface. It is also recommendable to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy and assuring them that their information will not be misused nor shared with third parties. All of this provides a series of facilities to modify the online shopping habits of users. Research limitations/implicationsAs in most of the research, this study presents a series of limitations that should be debated and that could open future lines of investigation. Firstly, regarding the sample used that was limited to two neighbouring countries with similar profiles a priori; it would be necessary to compare their possible cultural differences according to Hofstede's dimensions as well as increase the number of European countries being analysed to reach a more generalised conclusions. Secondly, the variables used are a combination of those derived from the UTAUT2 model and others suggested in the literature as decisive in technology adoption by users, in this sense other theories and variables could be incorporated to complete a more holistic model.Practical implicationsThis work contributes in a general way to (1) analysing the intention to use e-commerce platforms from a set of antecedents previously defined by their importance, after a period of economic and social restrictions derived from the pandemic; (2) determination of customer segments from the classification made by the CHAID analysis; (3) characterisation of the previously defined segments through the successive divisions that were proposed in the analysis carried out.Social implicationsOther fundamental aspects would be to reduce any uncertainty the user might have about the online shopping process to make it as easy as possible, and to design a simple, intuitive, and user-friendly interface. It is also recommended to manage data usage efficiently. To do so, the authors recommend asking the user for the least amount of information possible, offering a data protection policy, and assuring them that their information will not be misused or shared with third parties.Originality/valueThe results obtained have allowed us to establish predictive and explanatory models of the behaviour of the segments and profiles created, which will help companies to improve their relationships with online customers in the coming years.

Pemanfaatan E-Commerce Untuk Memperluas Jaringan Pemasaran Produk Olahan Hasil Laut di Desa Randutatah

The implementation of this community service involves this Partner Village located in Randutatah Village, Paiton District, Probolinggo Regency. This group has various businesses, processed seafood. Technology development in the digital era has brought significant changes in various aspects of life, including in business and marketing. E-commerce is one form of technology utilization that is growing rapidly, providing new opportunities for business actors, including farmers and fishermen in Randutatah Paiton Village. However, obstacles such as limited internet access, lack of e-commerce knowledge, low marketing networks, and intense competition on e-commerce platforms are the main challenges.To overcome these obstacles, a training program on e-commerce utilization was conducted. This training program involves business owners and workers, with an implementation method that includes planning, implementing activities, and monitoring and evaluation. The purpose of the implementation of this community service is to apply e-commerce to the sale of various MSME products in Randutatah Village with the intention of introducing and increasing their sales turnover, while the method used is to use participatory methods, counseling, mentoring and training. The results obtained from the implementation of this community service are that with the help of training and e-commerce applications, it can reduce the sales turnover of MSME products in Randutatah Village.

APLIKASI E-COMMERCE DAN MANAJEMEN SERVICE (STUDI KASUS : SMARTCOMP STORE OFFICIAL)

SmartComp is a business engaged in the sale of computer equipment, accessories, and services. The image and prestige in the eyes of the public is enough to raise the name of this business. However, these businesses still have major obstacles in promoting the goods and services they have and added to the limited time and energy because they still use the old way by distributing brochures and installing banners that are expected to attract public attention. But in fact, there are still many people who do not know the types of goods and services offered by SmartComp. The advantages of the new system are that people know what products are in the e-commerce application and can directly order goods and services online without having to come directly to the place where the business is located so as to provide security and comfort in transacting without taking up the time and energy they have.

Efficient Resource Utilization in IoT and Cloud Computing

With the proliferation of IoT devices, there has been exponential growth in data generation, placing substantial demands on both cloud computing (CC) and internet infrastructure. CC, renowned for its scalability and virtual resource provisioning, is of paramount importance in e-commerce applications. However, the dynamic nature of IoT and cloud services introduces unique challenges, notably in the establishment of service-level agreements (SLAs) and the continuous monitoring of compliance. This paper presents a versatile framework for the adaptation of e-commerce applications to IoT and CC environments. It introduces a comprehensive set of metrics designed to support SLAs by enabling periodic resource assessments, ensuring alignment with service-level objectives (SLOs). This policy-driven approach seeks to automate resource management in the era of CC, thereby reducing the dependency on extensive human intervention in e-commerce applications. This paper culminates with a case study that demonstrates the practical utilization of metrics and policies in the management of cloud resources. Furthermore, it provides valuable insights into the resource requisites for deploying e-commerce applications within the realms of the IoT and CC. This holistic approach holds the potential to streamline the monitoring and administration of CC services, ultimately enhancing their efficiency and reliability.

Examining the User Evaluation of Multi-List Recommender Interfaces in the Context of Healthy Recipe Choices

Multi-list recommender systems have become widespread in entertainment and e-commerce applications. Yet, extensive user evaluation research is missing. Since most content is optimized toward a user’s current preferences, this may be problematic in recommender domains that involve behavioral change, such as food recommender systems for healthier food intake. We investigate the merits of multi-list recommendation in the context of internet-sourced recipes. We compile lists that adhere to varying food goals in a multi-list interface, examining whether multi-list interfaces and personalized explanations support healthier food choices. We examine the user evaluation (i.e., diversity, understandability, choice difficulty and satisfaction) of a multi-list recommender interface, linking choice behavior to evaluation aspects through the user experience framework. We present two studies, based on (1) similar-item retrieval and (2) knowledge-based recommendation. Study 1 ( N = 366) compared single-list (5 recipes) and multi-list recommenders (25 recipes; presented with or without explanations). Study 2 ( N = 164) compared single-list and multi-list food recommenders with similar set sizes and varied whether presented explanations were personalized. Multi-list interfaces were perceived as more diverse and understandable than single-list interfaces, while results for choice difficulty and satisfaction were mixed. Moreover, multi-list interfaces triggered changes in food choices, which tended to be unhealthier, but also more goal based.

LEGAL IMPLICATIONS OF CONSUMER PROTECTION DISPUTES ON CASH DELIVERY SYSTEMS IN E-COMMERCE

This article aims to verify the validity of online purchases and transactions between sellers and buyers through the Cash Delivery System and the legal impact of breach of contract or failure to comply. The methods used in this article are legal research methods employing legal, conceptual, and case-by-case approaches. Based on the research results, online sales contracts will be effective if they meet the four conditions specified in the Criminal Code, in accordance with Law No. 19 of 2016 on Changes to Law No. 11 of 2008 on Electronic Information and Transactions. Therefore, online sales agreements are as robust as other sales contracts. This is a legal application when a buyer makes transactions online through an E-Commerce application under Law Number 19 of 2016 concerning Changes to Law Number 11 of 2008. Electronic products are not clearly and elaborately regulated. According to criminal law, buyers are obliged to compensate for losses, transfer risks, support legal costs, and enter into contracts with the parties concerned.

Identification of Fraudulent Reviews

This paper introduces a comprehensive system designed to bolster the trustworthiness of product reviews in e-commerce applications. Leveraging logistic regression, the system filters out fake reviews obtained through web scraping, providing users with an authentic product rating. The algorithm analyzes textual features to assign a probability score, effectively distinguishing genuine reviews from deceptive ones. The resultant authentic rating serves as a reliable metric for users navigating the crowded marketplace. In addition to enhancing review authenticity, the system integrates a comparative pricing feature. Multiple e-commerce links are scrutinized to compile and analyze pricing information, enabling users to make well-informed decisions based on both review credibility and cost-effectiveness. The user-friendly interface displays the authentic product rating alongside a graphical representation of the percentage of genuine and fake reviews, empowering consumers to interpret feedback reliability intuitively. The system contributes to e-commerce advancement by addressing the pervasive issue of fake reviews, offering users a sophisticated toolset for assessing product authenticity and making informed purchasing decisions. This research amalgamates machine learning, web scraping, and comparative analysis into a seamless framework, ultimately providing users with a holistic solution for navigating the intricacies of online shopping

Analysis of E-Commerce Transformation of Historic Brands: Take Holiland as an Example

With the improvement of living standards, after solving the problem of food and clothing, people's attention to snacks and refreshments has increased, which has promoted the rise of China's dessert market; At the same time, the wide application of e-commerce provides tools for industry upgrading. Through literature analysis and case analysis, this paper studies how the famous Chinese dessert brand 'Holiland' has transformed its historic brands with the new era through e-commerce transformation, regained business opportunities and occupied a large market share. This paper hopes to analyze the success of 'Holiland', and explores whether time-honored brands can improve the value of brand reputation through the rational use of e-commerce, and transform and upgrade to adapt to the current era of social Internet + electronics. After analysis, this paper finds that if time-honored brands can make reasonable use of e-commerce, they can attract the love of the whole new customer base --like the main force of consumption - the young people of the Z generation.

Cross-border e-commerce marketing cost control method for agricultural products based on reinforcement learning algorithm

Abstract In this paper, we measure the effectiveness of recommendations using the provider coverage of reinforcement learning algorithms under new media videos, using parameters smaller than the state space to estimate the value function. The reinforcement learning algorithm determines the population's state and maximum fitness by specifying the number of gene updates per generation. Based on the sample characteristics of the mixed cross-section data, the least squares benchmark regression sets the category of agricultural products and finds that the growth rate of cross-border e-commerce in agricultural products decreases from 28.57% to 11.66%, the highest logistics and distribution accuracy is 11.987, and the cross-border e-commerce in agricultural products has a coverage rate of about 5.57%. It shows that utilizing a reinforcement learning algorithm ensures the maintenance of the efficiency of e-commerce applications and can achieve a comprehensive change in sales.

Factors influencing customer satisfaction with AR shopping assistant applications in e-commerce: an empirical analysis utilizing text-mining techniques

PurposeThis study investigates the key factors that influence customer satisfaction when interacting with augmented reality shopping assistance applications (ARSAPs). ARSAPs grant consumers the capability to experience products in a virtually simulated user environment before product acquisition. With the development of mobile e-commerce due to breakthroughs in smartphone and augmented reality (AR) technologies, there is an increasing potential for these emergent AR mobile services, yet there is a need for further improvement.Design/methodology/approachThis study initially explored the key satisfaction factors for ARSAPs by utilizing topic modeling of a collection of actual user reviews. These factors are subsequently revisited and complemented by existing literature, and finally verified through logistic regression analysis supported by sentiment analysis.FindingsThis study identified the key factors that influence customer satisfaction with ARSAPs, including visuality, sense of reality, credibility, format, completeness, understandability, relevance, flexibility, response time, reliability, availability, ease of use and privacy. In particular, two additional factors (i.e. visuality and sense of reality) were newly identified as important in the context of AR, despite their previous omissions in existing literature.Originality/valueThis study is the first to investigate the key factors that influence customer satisfaction with ARSAPs from users' perspectives, utilizing topic modeling of a large amount of real-world data on actual user feedback. By identifying new factors (i.e. visuality and sense of reality) that were not identified in previous literature, this study provides important academic implications for a broader understanding of AR and related technologies that are essential elements of the metaverse. This study also provides valuable insights for developers and companies in the e-commerce industry on how to optimize AR applications and develop more targeted and effective marketing strategies in this field.

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning

Conversational recommender systems (CRS) endow traditional recommender systems with the capability of dynamically obtaining users' short-term preferences for items and attributes through interactive dialogues. There are three core challenges for CRS, including the intelligent decisions for what attributes to ask, which items to recommend, and when to ask or recommend, at each conversation turn. Previous methods mainly leverage reinforcement learning (RL) to learn conversational recommendation policies for solving one or two of these three decision-making problems in CRS with separated conversation and recommendation components. These approaches restrict the scalability and generality of CRS and fall short of preserving a stable training procedure. In the light of these challenges, we tackle these three decision-making problems in CRS as a unified policy learning task. In order to leverage different features that are important to each sub-problem and facilitate better unified policy learning in CRS, we propose two novel multi-agent RL-based frameworks, namely Independent and Hierarchical Multi-Agent UNIfied COnversational RecommeNders (IMA-UNICORN and HMA-UNICORN), respectively. In specific, two low-level agents enrich the state representations for attribute prediction and item recommendation, by combining the long-term user preference information from the historical interaction data and the short-term user preference information from the conversation history. A high-level meta agent is responsible for coordinating the low-level agents to adaptively make the final decision. Experimental results on four benchmark CRS datasets and a real-world E-Commerce application show that the proposed frameworks significantly outperform state-of-the-art methods. Extensive analyses further demonstrate the superior scalability of the MARL frameworks on the multi-round conversational recommendation.

IMPLEMENTASI API RESTFUL DENGAN JSON WEB TOKEN (JWT) PADA APLIKASI E-COMMERCE THRIFTY SHOP UNTUK OTENTIKASI DAN OTORISASI PENGGUNA

User authentication and authorization play a vital role in securing sensitive data within applications. E-commerce applications, in particular, require robust authentication and authorization methods to safeguard the confidentiality and integrity of exchanged data. JSON Web Token (JWT) has emerged as a popular authentication mechanism for securing data transmission over networks. This paper explores the implementation of JWT in a RESTful API to achieve user authentication and authorization in an E-commerce application. The objective of this study is to analyze the implementation of JWT in a RESTful API for user authentication and authorization within an E-commerce context. The detailed implementation of JWT in the Thrifty Shop application is discussed, encompassing its utilization for user authentication and authorization. Additionally, the benefits derived from employing JWT in the Thrifty Shop E-commerce application are explored. In conclusion, the implementation of JSON Web Token (JWT) in a RESTful API proves to be an effective approach for user authentication and authorization in E-commerce applications. The use of JWT ensures that only authenticated users gain access to sensitive data, thus enhancing the security of the Thrifty Shop E-commerce application. This implementation can serve as a model for other E-commerce applications seeking to bolster their security measures.

APLIKASI E-COMMERCE PAKAIAN BERBASIS ANDROID MENGGUNAKAN METODE PROTOTYPE

E-commerce is a profitable opportunity for SMEs, particularly in the sale of household goods like clothing. SMEs' growth in e-commerce has been driven by theCovid-19 pandemic, leading to widespread adoption ofe-commerce systems. OvintLevint, a clothing store thatstarted during the pandemic, still relies on traditionalmarketing methods like word-of-mouthrecommendations. This hampers their growth andcompetitiveness against well-known brands, requiringsignificant investment and time to overcome. Currently, OvintLevint accepts both cash and non-cashtransactions, including transfers and WhatsApp-basedpayment proofs. However, there are frequent instancesof lost transaction receipts and income recording errors. To facilitate customers and OvintLevint, an Android system is being developed for online product purchases. Equipped with a payment gateway, this system aims tosimplify customer transactions. The development usesprototyping with the Flutter framework (Dart andjQuery) for frontend, and Laravel framework (PHP andBootstrap) for backend and web administrationservices. Research findings suggest that developing a clothing e-commerce application can streamline theordering process, transaction data processing, andenhance marketing efforts.

PENGARUH PROMOSI DAN KEPERCAYAAN KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN PADA PENGGUNA APLIKASI E-COMMERCE TOKOPEDIA

The purpose of this study was to test the Promotion (X1) and Consumer Trust (X2) variables on Purchase Decisions (Y) in the Tokopedia E-Commerce application in the Management student study program at STIE Malangkucecwara in the 2022/2023 academic year. The type of research used in this research is quantitative research with explanatory methods. The population of this study was 163 students with a sample of 62 students. The analytical method used in this study used the IBM SPSS Statistics 23 application. The results showed that the Promotion variable (X1) had a positive effect of 5,600 and the Consumer Trust Variable (X2) had a positive effect of 4,218. From the results of this study, it can be concluded that Promotion and Consumer Trust influence purchasing decisions.

The Culture Policy for MSME in Digital and Their Prospects

The current era of digitalization forces entrepreneurs to change their marketing strategy from direct sales to online sales, either in whole or in part. However, the transition is not easy for micro, small, and medium-sized enterprises () because of the limitations of knowledge and facilities they have, so the process goes gradually. The study aims to find out the contribution of online marketing for micro-small enterprises to the resilience of enterprises during the restrictions that have lasted for two years. The study is also a policy recommendation against some digital policy directions against MSME by the Ministry of Informatics and Communications of the Republic of Indonesia. The research object is a member of ISMEA (Indonesia Small Medium Enterprises Association), which meets the business age criteria of more than 2 years, actively performs hybrid sales (online and offline), and is able to survive during that time. Research methods are carried out qualitatively through descriptive, participatory observation. In-depth interviews were conducted with informants selected using snowball techniques. The results of the research found that online marketing on MSME is carried out through independent web hosting or through marketplace or e-commerce applications available or be used simultaneously. Self-marketing has the advantage that it does not require commission fees from the other party, so the entire profit becomes the seller's. However, it also has a weakness with its limited market accessibility as it requires costs to promote the site. While marketing through the marketplace has the advantages of the wide range of the market and the limitation of the promotion of the applicator, it also has disadvantages such as commission fees for applicators and price competition with providers of similar products or services in the same application or other applications. The conclusion obtained is that MSME is more familiar with using social media compared to the marketplace, in addition to the fact that web hosting is rarely used, even though it is free. The stages providing an appearance in the application require their own skills. While the direction of the marketing digitization policy on MSME that has been running for this time has begun to form a culture of marketing digitalization for micro and small enterprises, especially the use of the application for product delivery.

Designing E-Commerce Applications for Mobile-Based Audioo Technics Stores

It seems that existing technological advances have not been utilized equally by business actors, one of which is the Audi Technics Store. Audio Technics Shop is an electronics shop that sells various audio-based tools. In its marketing activities, this shop still uses a conventional marketing system which is carried out directly through the shop. The obstacle faced is the difficulty of reaching a wider range of customers. This research aims to design a mobile-based AudioTech e-commerce application that can be accessed online by customers at the Audio Technics Store. This research produces a conclusion that the mobile-based e-commerce application designed for the Audio Technics Store can help product marketing and product sales activities online and more widely.