E-commerce Retailers Research Articles

Exploring generative frameworks for product attribute value extraction

E-commerce platforms rely heavily on the attribute values of their products as they play a crucial role in various retail functions such as product search, recommendations, and question answering. Therefore, identifying the attribute values from unstructured product information is critical for any e-commerce retailer. This problem is challenging due to the diversity of product types and their attributes and values. Attribute value extraction deals with extracting the values of attributes from the product profile. Previous approaches for this task have formulated the attribute value extraction as a Named Entity Recognition task (NER) or a Question Answering (QA) task. In this paper, we propose to tackle the attribute value extraction task using generative frameworks. In the first task, the attribute name and the product title are used to generate the value of the attribute. In the second task, only the product title is utilized to extract both the attributes and the values jointly. The value extraction is formulated as a text-infilling task and an answer-generation task. For joint attribute value extraction, we present two types of generative paradigms, namely, word sequence-based paradigm and positional sequence-based paradigm. The pre-trained language models such as GPT-2, BART, T5, and FLAN-T5 are leveraged to perform these tasks. Our experiments show that a single general model effectively performs value extraction task over a broad set of product attributes. Experiments conducted on two datasets depict that the generative approaches achieve new state-of-the-art results, which indicates that the proposed frameworks are helpful for attribute value extraction tasks without additional tagging.

Research and Analysis on Promotion Strategies for Retail E-commerce Platforms

Nowadays, under the background of new retail, online e-commerce platform shopping has become the main choice for market participants and consumers to purchase, and merchants use a variety of promotional tactics in an ingenious way. This paper researches and analyzes the retail e-commerce platform market, consumer demand and consumer satisfaction, as well as the Double Eleven promotional strategy and then provides effective suggestions for the development of live marketing for enterprises. During the period of investigation and research, the outbreak of the COVID-19 epidemic had a huge impact on the e-commerce industry. Therefore, this paper investigates and analyzes the development of e-commerce and the new models of promotion in response during the epidemic.

The double-edged sword effect of chatbot anthropomorphism on customer acceptance intention: the mediating roles of perceived competence and privacy concerns

ABSTRACT This study examines the double-edged sword effect of chatbot agent anthropomorphism on customer acceptance in retail e-commerce using social response theory. Scenario-based experiments with a between-subject design were conducted to test hypotheses. Study 1 investigated the differences in positive and negative psychological perceptions (i.e. perceived competence, privacy concerns) and acceptance intention among 138 participants for different anthropomorphism levels of chatbots. Study 2 randomly assigned 282 subjects to 2 (anthropomorphism: high vs. low) × 2 (time pressure: high vs. low) experiments. Data collected from users of chatbot services in the retail e-commerce platforms were analysed using methods of reliability and validity analyses, one-sample t-test, independent-sample t-test, one-way ANOVA, and PROCESS bootstrap analyses. The results showed that chatbot anthropomorphism increased customers’ perceptions of chatbot competence and thus increased their intention to accept chatbot services, but also increased customers’ privacy concerns and thus decreased acceptance intention. Under high (vs. low) time pressure, customers perceived highly anthropomorphic chatbots as more competent, but time pressure did not moderate the effect of anthropomorphism on privacy concerns. This study extends research on social response theory and time pressure in the e-commerce management field, and provides guidance for retail e-commerce enterprises to develop chatbot anthropomorphism level differentiation strategies.

Influence of Brand Equity on Electronic-Word of Mouth Mediated by Brand Love on Shopee E-commerce

This study aims to explore the impact of Brand Equation on E-Word of Mouth E-commerce in Indonesia. In addition, brand love was studied as a mediator of Brand Equity and E-Word of Mouth activities. Data was collected from a total of 160 Shopee E-commerce users in Indonesia through a structured questionnaire and hypotheses were examined using the PLS model. The results validate that Brand Equity activities have a significant influence on Brand Love directly. E-Word of Mouth is directly influenced by Brand Love. In addition, Brand Love completely mediates the relationship between Brand Equity activities and E-word of mouth has an indirect influence. First, the sample size was limited to 160 respondents, most of whom came from Jabodetabek, Indonesia. It is recommended that future research use larger sample sizes and include individuals from various industry scenarios. Second, this research only focuses on brand equity, e-word of mouth through the mediation of brand love in the e-commerce retail industry. These research suggestions will help the e-commerce retail sector build consumer trust, which will grow Shopee's user base and enable it to better understand its customers' needs through several improvements that will increase customer engagement. Apart from that, it also increases the level of customer involvement itself by creating games, or vision and mission which can later be exchanged for various kinds of promotions tailored to user needs.

Informational cascade, regulatory focus and purchase intention in online flash shopping

Online flash shopping has continued to gained popularity since its emergence. From the perspective of informational cascade, our study explores the psychological processes of consumer purchase decision-making in online flash sales. We investigate how external environment influences user purchase intention, as well as the psychological variables and cognitive aspects involved. Our analysis demonstrates that consumers’ propensity to imitate others and their positive perceptions of value markedly enhance their purchase intention, and that preorder size and consistency of product reviews significantly strengthen the psychology of imitation. Moreover, consumers’ regulatory focus moderates the effects of imitation, weakening self-information, and perceived value on purchase intention. Introducing the informational cascade perspective into online flash sales research, our study provides new insights into how information elements and perceived value influence consumers' impulse purchase intention. Using these insights, e-commerce retailers can develop strategies that foster a sense of urgency and excitement among consumers in online flash shopping. By ensuring consistency in customer reviews, and tactically highlighting essential product details such as pre-sale quantities, retailers can enhanced the perceived value of their products. Furthermore, meticulous management of sale duration, product assortment, and information visibility can strengthen purchase intention during flash sales. Our study enriches the understanding of consumer decision-making under the influences of herding and informational cascades.

Online Matching Frameworks Under Stochastic Rewards, Product Ranking, and Unknown Patience

Ranking Products for Customers with Unknown Patience In e-commerce, customers have an unknown patience in terms of how far down the page they are willing to scroll. In light of this, how should products be ranked? The e-commerce retailer’s problem is further complicated by the fact that the supply of each product may be limited, and that multiple customers who are interested in these products will arrive over time. In “Online Matching Frameworks Under Stochastic Rewards, Product Ranking, and Unknown Patience,” Brubach, Grammel, Ma, and Srinivasan provide a general framework for studying this complicated problem that decouples the product ranking problem for a single customer from the online matching of products to multiple customers over time. They also develop a better algorithm for the single-customer product ranking problem under well-studied cascade-click models. Finally, they introduce a model where the products are also arriving over time and cannot be included in the search rankings until they arrive.

Price strategy of community fresh food e-commerce considering the heterogeneous needs of consumers and fresh quality transparency

High online operating costs and low consumer utility still need to be addressed in the sales of community fresh e-commerce. Herein, we develop a new community fresh marketing model composed of retailers for online operating costs and consumers for low consumer utility by dividing community consumers into essential type and expectant type in this study. Then, the profit functions of community fresh retailers are developed in this study according to utility theory. Finally, a revised model of the fresh quality transparency (FQT) factor is conducted and discussed in this study. The results suggest that the profits obtained from essential consumers and expectant consumers by the community fresh e-commerce retailers are higher within a certain range of freshness costs compared to the basic model’s projection; meanwhile, the profits from expectant consumers contribute more than those from essential consumers. However, if the freshness cost exceeds a certain critical value, the abovementioned profits predicted from the new model will be lower. This study enriches the supply chain theory of community fresh food and provides retailers with theoretical guidance on differentiated services and pricing to better match the needs of community consumers.

Assessing the Factors Influencing Consumer Behaviour in E-Commerce Platforms

This paper examined the various factors proposed in the literature that have potential to impact consumer behaviour within the context of e-commerce platforms. The field of consumer behaviour involves the analysis of the actions and reactions of individual consumers in response to business practises. This is particularly pertinent within the realm of e-commerce and online retail, as they differentiate themselves from traditional commerce by virtue of their unique functionalities and characteristics. It is worth noting that e-commerce has the ability to distinctly impact consumer behaviour. By employing questionnaire surveys to gather data and evidence, followed by conducting various forms of analysis such as descriptive and inferential analysis, we have ascertained that consumer behaviour can be positively influenced by factors such as sales and promotion, a favourable reputation of the e-commerce retailer, and a satisfactory user experience. This study has effectively identified the distinctive factors that empower e-commerce retailers to exert influence over consumer behaviour. It is suggested that these findings possess the potential to contribute significantly to the current body of knowledge on e-commerce retailing.

Analysis of product-service system logistics strategies in e-commerce

Goal: The main objective of this work is identifying product-service system logistics strategies present in e-commerce. In addition, this research aims to address two main research questions: (i) What are the product-service logistics strategies in e-commerce and how are the strategies applied? and (ii) What are the future research opportunities from the literature? Design / Methodology / Approach: This paper performs a systematic literature review using the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) method. Using this method, we established criteria for inclusion and exclusion of papers as well as better filters that, after applied during the literature review, we reached the final papers that will be included in the analysis. Results: The main opportunity for applying PSS in e-commerce is related to the migration of logistics services to platforms, in which asset sharing between partners is a potential implementation being tested by start-ups and technological companies. Concerning the results related to the association of PSS and e-commerce, this is still a lack in the literature since many papers are more theoretical and fail to assess the benefits of practical adoption. Limitations of the investigation: Research limitations of this research are according to the structure of the systematic literature review methodology. Practical implications: The results may provide guidance for e-commerce retailers that choose to implement PSS strategies associated with logistics in their sales channels. Originality / Value: This paper originality deals with the study of PSS strategies in e-commerce, since the combination of these approaches is still a research gap. Findings point out that e-commerce is still focused on physical products and the adoption of PSS strategies is not a common topic addressed in this context.

Impact of Website Quality on Customer Satisfaction and Purchase Intention in the E-Commerce Sector in India

E-commerce is on the rise both in India and abroad as the economy is becoming digital and consumers are using online platforms to search for information and for making purchases of different types of services and products. Retail e-commerce sales were 5.2 trillion Dollars approximately worldwide in 2021. It is forecasted that this figure will grow by 56 percent over the next few years, and reach 8.1 trillion dollars by 2026. (as per Global retail e-commerce sales 2014-2026, Published by Stephanie Chevalier, Sep 21, 2022). Websites are an important component of the rapidly growing E-commerce market. In the overall marketing communication mix, the websites complement the direct selling activities, helps to improve the corporate image and provide basic information about the company to its customers using an online platform. There is a need to study the measures of Website designs which help to improve their quality as well as the customer satisfaction towards the website design of the company, which may also lead to purchase intention of the consumer. Customer reaction to the website has been studied by the author taking into consideration the Amazon India and Flipkart websites as they are comparable names. Study was conducted in Delhi-NCR and data was gathered from 658 respondents out of which 300 were from Delhi 358 were from NCR covering the areas – Gurgaon, Noida, Ghaziabad, Faridabad etc. The construct used to collect the data was a standard construct – WebQualtm, a measure of Website quality. 12 dimensions of WebQualtm were taken into consideration to study the satisfaction of customers towards the Website Quality of Amazon and Flipkart. Another linkage that was studied was whether this customer satisfaction towards Website quality led to purchase Intention among the Customers or not. PLS-SEM was used for analysing the hypothesized relationship among the constructs and was found that Website Quality significantly influenced the Customer Satisfaction which in turn leads to Purchase intention of the customer.

Green products wrapped and delivered: consumer’s preference for sustainable e-commerce practices

ABSTRACT With the rapidly growing online sales, e-commerce firms in emerging economies like India risk unsustainable practices such as the relentless consumption of goods, increased plastic and paper packaging, or inefficient delivery options that increase fuel consumption. To maintain a favorable corporate image amongst consumers, online firms possibly adopt various mechanisms to signal consumers’ adoption of sustainable practices. Such practices by firms may involve implementing sustainability practices in doorstep delivery, packaging, and product selection to influence consumers’ buying preferences. This research uses a structured survey approach to explore the impact of three sustainable practices implemented by an e-commerce firm on the consumer’s intention to purchase from such a firm. Using a dual theory perspective of the theory of consumption value (TCV) and the theory of planned behavior (TPB), the study demonstrates the impact of the belief of environmental risks on consumers’ intentions to purchase from such e-commerce firms with sustainable practices. The data findings from 301 Indian e-commerce consumers suggest that consumers with a higher belief of environmental risks display a higher degree of tolerance for the inconvenience of order delivery and sustainable product purchase intentions, further influencing their intentions to purchase from e-commerce firms with sustainable practices. However, the preference for sustainable packaging does not impact intentions to purchase from e-commerce firms with sustainable practices. The study discusses the implications for online e-commerce retailers and policymakers and informs online e-commerce consumers’ choices.

E-Commerce: An Empirical Study

E-commerce or electronic commerce is the buying and selling of goods or services on the internet. It encompasses a wide variety of data, systems and tools for online buyers and sellers, including mobile shopping and online payment encryption. Most businesses with an online presence use an online store and platform to conduct e-commerce marketing and sales activities and to oversee logistics and fulfillment. Global retail e-commerce sales are expected to surpass US$5 trillion for the first time, accounting for more than a fifth of overall retail sales, and by 2025, total spending will exceed US$7 trillion, despite slowing growth. E-commerce also known as e-business or electronic business, is simply the sale and purchase of services and goods over an electronic medium, like the Internet. It also involves electronically transferring data and funds between two or more parties. E-commerce started way back in the 1960s when organizations began to use electronic data interchange. Today, e-commerce has become an integral part of everyday life. Accessibility to an e-commerce platform is not a privilege but rather a necessity for people, particularly those from urban areas. Due to the fast adoption of internet-enabled devices like smartphones and tablets, there has been an unparalleled growth in e-commerce. The growth of e-commerce volumes in India is attracting the attention of players around the globe. The present study is descriptive in nature and is based on secondary data. The study found that e-commerce sites run quickly, determined by computer and bandwidth considerations on both consumer device and e-commerce site. The study also found that an e-commerce transaction can comprise of a few clicks and take less than few minutes.

An Analysis on Current Fashions, Complexities & Prospects for India in E-Commerce

Electronic commerce is the abbreviation for e-commerce. It is the method of performing digital marketing electronically. E-commerce has increased in popularity in recent years as a rapid & simple way to exchange goods & regional & worldwide services. India will become a flourishing platform for e-commerce economic figures; nation's e-commerce retail business increased by 66 percent in 2015-2016. Based on secondary data, the work focuses on conceptual research along with an exploratory & descriptive orientation. This article defines e-commerce, the distinctions between conventional commerce & electronic commerce. It also highlights various e-commerce current fashion & complexities, as well as the critical prospects & growth factors required for e-commerce in India. The commercial environment in which information for acquiring, selling & transferring items & services is transferred electronically is referred to as electronic commerce. E-commerce enables firms to remain open 24 hours a day, seven days a week, giving customers access at any time of day or night. E-commerce is less expensive. E-commerce eliminates mistakes by decreasing data processing & yields more outcomes from fewer resources. Businesses can utilise e-commerce to share information & simplify numerous operations that are now performed manually. E-commerce is increasingly becoming recognised as a cost-effective means for conducting critical activities with partners & suppliers, like a buying, transfer of knowledge, payment systems, stock control, and other business functions. E-commerce is a type of internet company. is about using digital information to understand each customer's & partner's desires & preferences in order to produce goods & services for them, & then providing products & services as quickly as possible. Electronic commerce is being used through many firms for Online banking and billing, secure information sharing, value chain trading, and company shopping are all examples of direct marketing, selling, and customer service. The study's goal is to discover & address a consumer pain issue. Inadequate understanding & information regarding rights creates legal confusion. Rise in awareness among the customers regarding the burden of vendors' offerings & better rates. Cashless transmission to attract clients & increase web traffic while eliminating documentation & administrative effort. Commerce has expanded to encompass the processing of buy transitions, transactions relating to money & transfer on the internet. In 2014, the e-commerce market saw remarkable development. Rapid technological adoption, as evidenced by the enhanced usage of electronic devices like smartphones & tablets, as well as accessibility via bandwidth & & other means, drove growth, resulting in an increased online consumer base. The emergence of domestic competitors like Flipkart & Snapdeal, as well as the massive investor interest in these companies, demonstrated the market's enormous potential. The advent of Amazon & Alibaba are e-commerce powerhouses, is likely to increase competition. Each of these multinational corporations have considerable financial resources & the endurance to propel the Indian ecommerce sector ahead. Furthermore, their extensive subject expertise & best practises gained from worldwide experience provide them an advantage. To compete with multinational organisations, Indian enterprises recognise this & want to maintain their aim on growing merchants & selection on their platforms, as well as innovation at numerous customer touch point sellers & selection on their platforms, experimenting on various consumer contact points, & delivering smooth & speedy delivery services. Competition is predicted to intensify as these e-Commerce companies try new strategies to attract clients & increase web traffic.

Does Gamifying in the Marketplace Help in Building Consumer Engagement and Intention to Buy Online?

E-commerce is gaining consumer acceptance due to increased internet penetration and advancements in Indonesia. To engage tech-savvy consumers and meet their evolving needs, e-commerce players use gamification by offering personalized shopping experiences, social functionalities, and easy product access. This study examines how Shopee, an e-commerce retailer, can optimize its gamification strategies and intrinsic motivations to encourage customer engagement and impulsive buying behaviour. The study employs purposive sampling to survey 204 respondents and found that gamification and intrinsic motivations positively influence customer shopping engagement. The data was analyzed using Partial Least Squares (PLS) with the SmartPLS software. The findings show that gamification and intrinsic motivations hold a positive influence on shopping engagement. Furthermore, socialness and shopping enjoyment lead to increased impulsive buying behavior. Notably, shopping engagement emerges as a critical factor positively shaping users' intention to continue using online shopping applications.

Firms’ value impact of C2M mode empowered by big data based on event study

PurposeThis study aims to analyze and discuss whether and how consumer-to-manufacturer (C2M) mode empowered by e-commerce retail platforms’ big data affects the stock returns of firms in supply chains.Design/methodology/approachThis study selects 195 companies affected by four C2M events as samples and empirically analyzes the impact mechanisms of C2M mode on supply chain firms’ stock returns by event study.FindingsThis paper finds that C2M announcements own a positive impact on the stock returns of supply chain firms. Further, the results show that the business and financial characteristics play a significant impact on the relationship between the C2M mode and firm stock return performance. For example, C2M mode leads to huge stock returns when firms cooperate with the platforms related to their business content. In addition, the business scope can strengthen the positive promotion of C2M mode in stock returns, while business concentration weakens the positive promotion of C2M mode in stock returns.Originality/valueThe results found in this paper can provide practical guidance for the firms in supply chains to further apply C2M mode from the business characteristics and financial performance view.

Shopper’s Darbar: entrepreneurial initiative by the women, for the women (Case A)

Learning outcomes The learning outcomes of this study are as follows: this case deliberates the strategic design and business model that provides entrepreneurial opportunities to re-sellers and small business owners; this case discusses the complexities and opportunities related to using social media (Facebook) as a selling platform; this case provides a thorough understanding of the direct-to-consumer model; this case helps students understand the concept of social commerce in emerging markets; and this case discusses brand-building tactics, particularly for online businesses. Case overview/synopsis This case is about the entrepreneurial venture of three women on Facebook. A venture that started with the simple thought of creating a trusted selling and buying platform with convenience has turned into an opportunity for thousands of other women to become entrepreneurs and start their businesses with minimum investment and low risk. Shoppers Darbar is an online shopping portal on Facebook that started in 2016. This is a private group exclusively for women with more than 165,000 registered members, which saw a boom during the pandemic and merged as a parallel platform of e-commerce retail sites and physical stores and exhibitions. Although social commerce in India is still in its growing stage, it is facing indirect competition and an identity crisis. Hence, to build Shoppers Darbar as a brand and retain vendors, founders need to find methods within Shoppers Darbar’s limited means to sustain and create a community of sellers and buyers for getting more and more business for the vendors associated with them. Complexity academic level Postgraduate level. Supplementary materials Teaching Notes Consent Letter Annexure 1. Subject code CCS 3: Entrepreneurship

Learning from the Past: Fast NAS for Tasks and Datasets

Nowadays, with the advancement of technology, many retail companies require in-house data scientist teams to build machine learning tasks, such as user segmentation and item price prediction. These teams typically use a trial-and-error process to obtain a good model for a given dataset and machine learning task, which is time-consuming and requires expertise. On the other hand, the team may have built models for other tasks on different datasets. This paper proposes a framework to obtain a model architecture using the previous solved machine learning tasks and datasets. By analyzing real datasets with over 70,000 images from 11 online retail e-commerce websites, it is demonstrated that the performance of a model is related to the similarity among datasets, models, and machine learning tasks. A framework is hence proposed to obtain the model using the similarities among them. It was proven that the model was 26.6% better in accuracy, and using only 20% of the runtime while comparing to a auto network architecture search library, auto-keras, in predicting the attributes of fashion images. To the best of our knowledge, this is the first paper to obtain the best model based on the similarity among machine learning tasks, models, and datasets.

Defining The Decisive Factors on Purchase and Comparing Feature Importance Methods

Online retail companies focus on two activities for getting revenue in their businesses and to survive in the market. First activity is increasing traffic of the online shopping platform and second activity is converting this traffic to revenue for the company. Marketing facilities try to attract customers to the online shopping platforms at great costs. Because of the costs of getting traffic, it is crucial to make customers order. Online shopping platforms need to understand which factors are decisive on customer purchase decision. In this study, which factors are decisive on consumer purchase decisions will be studied on an e-commerce retail platform from Turkey, Hepsiburada. Which of these factors are most decisive try to be defined: traffic source type (google, campaign, direct etc.) of the customer, customer persona or segment, which types of page or page components has been seen, product position on the page, does the customer benefited from campaign or discount, product review scores and counts, has the product recommended or not. In this study, data will be gathered from Hepsiburada transactions stored in google's big query environment. Performance problems will be solved via SQL optimization and other methods. Data quality issues will be fixed to get consistent results. Then statistical methods, supervised machine learning and deep learning methods will be applied to data for getting feature importances. Importance value of the features will show which factor decisive on customer purchase decision. Feature importance values will be compared and evaluated according to method, model results. Hyperparameter tunings is applied to the methods. Also, the model performances will be compared and evaluated. This study uses and compares 7 methods and there is no comprehensive study in literature in terms of method variety.

Analyzing the Influence of COVID-19 on the E-Commerce Customer’s Retail Experience in the Supermarket Industry: Insights from Brazil

Background: E-commerce’s convenience, speed, and ability to overcome geographical barriers have made it increasingly popular across industries. This study analyzed the impact of the COVID-19 pandemic on customer experience and satisfaction in supermarket retail e-commerce in the Brazilian market. The objective was to understand how the pandemic influenced satisfaction in this sector. Methods: A survey research method was employed, utilizing the Critical Incident Technique to identify key quality dimensions important to customers. A total of 133 valid responses underwent exploratory factor analysis. Results: Data analysis identified three dimensions significantly affecting overall customer satisfaction. “Presentation of Products in the Application (app)” had the highest correlation, while “Delivery Logistics” had the lowest. However, when considering the COVID-19 factor, “Delivery Logistics” showed the highest correlation. This indicates that the dimension most affected by the pandemic has the least impact on overall satisfaction in supermarket e-commerce. Conclusions: The study emphasizes the significance of understanding customer satisfaction in supermarket e-commerce, not just during the COVID-19 pandemic but also its post-pandemic consequences. Retailers should prioritize improving product presentation in apps, as it greatly influences overall satisfaction. Addressing the pandemic’s impact on delivery logistics is also crucial to ensure competitiveness in the e-commerce market.

Tokopedia E-Commerce Retail Business Innovation in the Transformation Retail Industrial Era 4.0

Tokopedia's strategy in the world of retail 4.0 will be explained in this paper. The transformation of the retail world occurred from the 1.0 era to the 4.0 era and each has its characteristics. Tokopedia was born when it was in the retail 3.0 era and began to grow in the 4.0 era. A business model innovation strategy is very necessary for the business to survive in the online marketplace. Many innovations have been carried out, including (1) store management facilities (2) Shopping by type category of goods sold and business processes are very easy to learn (3) For easy access to online shops, sellers receive their accounts created during initial registration (4) Collaboration with various transportation services facilitates delivery of goods to consumers (5) simple payments and safe. The method used is to collect some literature to further identify whether it is by the topic to be discussed and make important points related to Tokopedia's strategy in the 4.0 era.