Evolution of E-Commerce Platforms
- Mr. Anurag Maurya
- Prashant Kumar
- Aayush Kumar
- 358-369
- Jun 5, 2025
- Education
Evolution of E-Commerce Platforms
Mr. Anurag Maurya1, Prashant Kumar2, Aayush Kumar3
1Assistant Professor, School of Computing Science and Engineering, Galgotias University, Greater Noida
2,3Students, School of Computing Science and Engineering, Galgotias University, Greater Noida
DOI: https://doi.org/10.51584/IJRIAS.2025.100500034
Received: 11 May 2025; Accepted: 16 May 2025; Published: 05 June 2025
ABSTRACT
Today e business has revolutionized worldwide retail and the end-users get to make equal access to different gies delivering products and services with unprecedented ease. Analytically, this paper aims to assess the development of e-commerce. Sophisticated E-business platforms, in details, from their emergence to their complex forms. modern, individualized and artificial intelligence-dependent environments of the present days. Key progresses like mobile commerce, omnichannel. retailing and have expanded the utilization of Augmented Reality consumer behavior and expectations . The study also which examines the problem that e-commerce companies encounter such as in the area of cybersecurity, high competition and supplies chain management . The Comparative Performance Analysis encapsulates a broadview of performance compares popular market places namely Amazon, eBay and Shopify as per to their prospecting competence in personalization
The four main areas I found were mobile optimization, security, logistics and sustainability. Research shows that although Amazon reigns as the most popular site for purchasing computers, its technological structures and, customer. keeping-cookies-type retention strategies, eBay is ways ahead in niche markets, and Shopify allows space of freedom to small and medium businesses.
In this context, by presenting and analyzing datasets, approaches, processes, and findings of experiments, this paper emphasizes approaches to the e-commerce platforms to counter all these odds and embrace new changes as common trends. The This study also revealed that mayoral leadership suggests easing requirement that calls for residents to undertake a course to enable their continued learning, thereby strengthening the study’s argument for ongoing use ovation and customer-oriented strategies for assuring sustainable enhancement in the emergence of the new generation digital marketplace
Keywords: consumer behaviour, development, m- commerce, nature, online retailing, sales customization, multichannel marketing, IT security, artificial intelligence and machine learning.of shopping, supply chain, sustainable, and comparative. performance analysis is another term related to the modality While augmented reality and digital marketplace are closely associated with the modality as well..
INTRODUCTION
Today the emergence of e-commerce has changed the way how retailing businesses operate and thrive.how consumers engage with brands and where decisions to purchase products are made.Infotainment is defined here in a broad perspective that comprises of the purchase of and selling of goods and services across the.Internet, e-commerce includes many forms, for example,B2C, B2B,It entails Consumer-to-Consumer (C2C) and Consumer-to-Business (C2B) transactions as other categories.
Such diverse models enable any kind of businesses to get to a consumers as the four Cs – connected, communicating, consumerized, and connected globally, eliminating geographical barriers and remapping market opportunities.
Going back and trying to understand and differentiate the inception of e-commerce platforms that are in existence today can be quite complex. from the earliest 1990’s focused with the rise of secure and safe internet transactions.
These forums have evolved over the years from simple web- from shop-fronts to highly complex digital applications based ecosystems. it innovations such as artificial intelligence, big data analytics and other form of sophisticated data analyses. The mobile commerce, (m-commerce) and customized shopping, transitions, and omnichannel retailing has indeed intensified it extension has steadily seeped into the lives of consumers thus becoming a permanent feature of e-commerce. The introduction and importance of e-commerce are not limited to customization and convenience; it has emerged as playing the crucial role towards the elaboration of economic growth. According to as of recent, e-commerce sales around the global amounted to about Global accumulated value of up to $4.9 trillion in 2021 with estimate values over $7 ₮trillion soon. trillion by 2025. Such a spectacular increase emphasises the impatience that is necessary constant change and improvements done by e commerce sites to respond to continuously rising consumer demands.
However, e-commerce has some challenges irrespective of its success such as cyber risks, competition in the market and others challenges posed by issues of logistics and supply chain. Platforms has to do this aside from balancing several political questions with the emerging concerns with the demand for increase sustainability, and the fit of ethical practices.
Consequent to this requirement, this paper seeks to discuss the various transformations that has befallen e-commerce platforms. In this paper, important events in the past, tentative in the present and obstacles come out by industry leaders. On this note, the research adopts the Comparative Performance Analysis of major platforms such as Amazon, eBay, and Shopify, the study provides some insight on how various forms of personalization and mobile Optimization, security and the organization of the working process are closely linked with success. By based on this analysis, the paper seeks to offer understanding of the measures which are essential for e- commerce systems to succeed in a cut-throat and fast growing virtual business environment.
LITERATURE SURVEY
From the literature, one can deduce that e-commerce squares emphasise the swift development of the industry reflecting trends related to technologies innovations and the changing landscape of customer demands among others. This section summarizes most important findings of relevant research and literature to situate the changes, the state today, and opportunities and threats, associated with e-commerce incorporating the Key Performance Indicators that e- commerce platforms likely encounter.
There are different types of E-commerce models and they’re explained below In this context, many researchers have also tried to map evolutionary models of e-commerce port and artifact analysis of various on-line platforms starting early 1990s to today. Chaffey The focus is made on the key events that are important for development, as it is stated by Lüdmann & Tomczak (2021) ​ with the dawn of the more secure payment gateways, the certification of new trading systems like Amazon, eBay, and other online shopping centers, and the changes of time. towards Mobile commerce (M-commerce). The transition from simple web site design to dynamic, Artificial Intelligent web interfaces has substantially improved the usability and functioning of efficiency Kumar and Singh (2022) also extend the literature more towards the use Web 2.0 technologies, which allowed users to post content on App social commerce, which makes it easier for consumers to interact to higher levels. consumers and platforms. This lies in the fact that more and more people own smart phones, and the uptake of m-commerce have been determined to be the key emerging, with investigations of the future holding mobile commerce is going to contribute more than 50% of the e-commerce sales by2025.
Interactivity and Consumers’ Consume
The need to capture and deliver the internet consumer has been received a lot of attention in the literature. E-commerce platforms use data analysis also referred to as big data analytics and artificial intelligence (AI) to design customer experiences in shopping. According to McKinsey (2023), corporations that implemented the digital.first many personalization tools have increase to up to 35% conversion rates. The consumers’ expectation research indicate that channels to give Recommendation The use of suitable digital media platforms to give as follows: the pricing system, the use of variable pricing information, and individually tailored promotional programs meet their specific needs.
Multichannel Retailing and Integration of Channels . The use of convergent online and Offline stores has emerged as a dominant trend. Research from Shopify (2023) emphasises the importance of omnichannel plans, like_physical_store_ buying options include ‘buy online, pick up in-store” (BOPIS) and ‘click and’ collect,” in closing the gap between the internet and real life.shopping. While many of such strategies give consumers the wanted aspects of online shopping that include; helps in offering quicker use of the products that are presented by firms in the market.
E-commerce challenges in E-commerce platforms
Over the years, e-commerce platform has been faced with many challenges as it grows challenges. According to Statista (2024) cybersecurity is recognized as major threat with hacking and identity theft undermining consumer trust. Effective cybersecurity tools, for instance, encryption and fraud control mechanisms is very important to sustain user confidence, especially on the records produced by the system.
Competition is another primary concern so with high threats of rivalry as it often comes with low entry barriers.
average entry which has resulted in market penetration. Chaffey (2021) highlights the requirements of differentiation and pushing the platforms to pay attention strategic differences, customer loyalty and specialization marketing strategies Distribution and supply chain operational functions are also quite large hurdles. Training programmes focus on the concerns including emphasising on the achievement of efficiency inventory management, delivery techniques and expenses of products and services adequate shipping solutions in addressing the needs of a customer They just had to observe some certain expectations for timely deliveries.
Responsible and Sustainable Business
Consumers’ need for sustainability has risen in recent decades. some of how e-commerce work has been affected. Research from As Meyer and Wright (2019) and McKinsey (2023) note there is heightened concern over environmentally sustainable . measures such as packing, emission-less, areas with no carbon footprint and global transportation, and ethical procurement, respectively. Companies that align their Such operations with these values are better placed to attract green consumers.
Imaginable Course and New Trend Henceforth, the advanced technologies like augmented are presupposed in order to foster students engineering training.
Reality (AR), machine learning and blockchain is a recurring theme in recent literature. Such changes are anticipated to improve user experience and some business processes to make the latter effective including try on features, live stock management, and secure payment systems.
METHODOLOGY
Research Framework
The above mentioned methodology was aimed at assessing e- commerce platforms across five core dimensions:
Personalization and Artificial Intelligence, Mobile Optimization, Security and Trust Pro Logistic Consultants (P) Ltd. has five divisions namely; operation, transportation, inventory, international and domestic business Sustainability Practices The components of the research framework are data collection and the trend analysis comparative analysis and performance evaluation of the business environment.
Data Collection
Secondary research was used in the study, pulling data from reliable sources in the industry from books, journals, sources, case studies and various research publications. Key data sources include:
Industry Reports: Research gathered from Statista, McKinsey, and Shopify in particular shed light into e-commerce trends, mobile. The industry, commerce trends, and the performance for each and every platform metrics.
Platform Case Studies: Specific case explorations of major electronic commerce the commercial opportunities present in the context of New Commerce Spaces such as Amazon, eBay, or Shopify actual environment for benchmarking of performance outcomes. Consumer Surveys: Implications from current consumer behaviour surveys were employed in an endeavor to determine the preferences of clients’ individuality, ‘cart’ purchasing, and mobilization Commerce.
Comparative Analysis
The authors used a divergent systematic approach as a means to compare the lowest rates of the leading e-commerce platforms in the identified dimensions. The analysis involved Feature Analysis: Examining the technological competence, such as artificial intelligence and individual customizations and perfect rendering to mobile phonesnPerformance Metrics: Ensuring that such KPIs as conversion prices, delivery, customer satisfaction, and in terms of market share Sustainability Indicators: Evaluating efforts of platforms in recycling, emissionless delivery, and many others that have an environmental impact sustainable packaging.
Statistical Analysis
Data was collected quantitatively so as to determine trends and make predictions:
Regression Analysis: Relationships between, have been detected consumer behaviour (such as the adoption of mobile commerce).platform success.
Growth Projections: Econometrical models were employed in this analysis in order to make a forecast the further development of mobility and mobile purchase and adoption of Tools that are deployed by e-commerce platforms.
Case Study Approach
The three most prominent players in the industry are Amazon, eBay and Shopify were chosen as the examples of how this or that type of changes and development processes take place. elements of effective strategies of e-commerce organizations. These case studies have given some understanding of how various platforms approach problems like delivery, customization and other market competition.
Limitations
The study acknowledges the following limitations:
Lack of primary data collection may not provide a comprehensive understanding of the platform- specific nuances. The lack of the primary source of data (for instance, interviews with consumers or pdata Buyers) Such surveys) may avoid going deep into behavioral data and only provide the surface understanding of behaviors. Due to its dynamic environment the e-commerce industry implies that The trends which have been identified may change very quickly.
DATASET
Data Collection and Preparation:
The use of data set in this research as identified above is a major strength study as a starting point to training then assessing the machine learning models. It includes a legally diverse mass of news articles which they have obtained from various sources.
The dataset was very scrupulously arranged, which allowed to obtain a really versatile sample of actual fake news articles and other fake and real news related articles that might exist. The dataset consists of two csv files with the records of fake data entries, total 23481 and for records 21417 entries of true data. The first ten lines of both true and fake datasets is given below figure 1(a), 1(b), are generalized with different types of news. These articles are available in CSV format as you can see.
3(a) The first ten lines from fake news dataset 3(b) First ten lines of true news dataset
3: (a) Preliminary 10 lines of fake news dataset
>(b) Ten lines of true news dataset
The data set section would describe the kind of data that has been used for analysis.
Example content:
“The study utilized datasets from:
Industry Reports: The following statistics provides the information on growth of e-commerce business around the globe.
For example, Statista grabbed up to 2024, and Shopify to 2023. Platform Case Studies: From the historic data of Amazon and eBay and data available from similar organizations and corporations we can Shopify performance.
Consumer Surveys: Other important information about personalization and mobile commerce trends, obtained from the ‘State of McKinzey of Fashion 2023′ report. “If the actual dataset is not available, then we can consider one for the purpose of this simulation on the following lines illustrative purposes.
Performance Compassing
This paper evaluates the performance of foreign companies investing in the Ghanaian manufacturing industry through a Comparative Performance Analysis.
In this section, metrics have been used to assess the performance of prominent e-commerce markets, including North America, Europe, and Asia, for such marketplaces Amazon, eBay, and Shopify, aspects of e-sales activities.
They appear in all dimensions of e-commerce operations. The analysis leverages current available information and figures to carry out side-by-side comparison of the features that are present in the platform and the user process, skills, (educational) background, and markets.
The second strategy is the personalization and integration of artificial intelligence.
Amazon: Uses most superior Artificial Intelligence algorithms for the products suggestions, for an overall store sales contribution of 35 percent recommendation engine. Direct mail messages and_InitStructure<|human|>Precise targeting emails and The major areas of differentiation are therefore capability of adapted search results.
eBay: Specialises in recommendations based on the needs of the customer based on the elaborated information on users’ reviews and their browsing history.
It does not have same level of personalization as does amazon. Shopify: Provides elementary tools of AI for small and middle enterprises and companies SMBs to adopt and incorporate into their store fronts to improving limited personalization.
Mobile Optimization
Amazon: High-quality and leading-edge mobile application responsiveness, which include features such as one click purchase option and voice shopping. The m-Commerce’ concept contributes to 50% of its transactions.
eBay: Offers a version tailored for mobile users yet lacks navigation is smooth compared to the complicated one recorded for Amazon.
Shopify: Supports mobile responsive web designs for SMBs but relies on the merchants to implement optimization measures effectively.
Security and Trust
Amazon: Adopts best practice security features including payment portal with encryption and fraud identification systems. The customer, which is always loyal, responds to consistent reliability.
eBay: Security is good, however, is not immune to failures from time to time having something to do with fraudulent sellers. Buyer protection programs are robust but reactive.
Shopify: Providing SSL certification and PCI compliance on all its stores. However, security implementation can rely on the concept and it depends on individual merchants.
Logistics and Fulfillment
Amazon: Leads with its Fulfillment by Amazon (FBA)
service and where they promise same day or next day delivery in most regions. Strong logistics network.
eBay: Very heavily depend on third party sellers for their operations resulting to differences in delivery time and delivery reputation.
Shopify: Designed to work with third party logistics providers (3PL), It seems to rely on plans and policies effected on
individual merchants with no so strict policy on fulfillment standards.
Market Coverage and Customers Retention
Amazon: Large operations with vast customers and a large loyal base services such as Amazon Prime, which customers are locked into through exclusive benefits.
eBay: Perform well in categories such as auction and specialised sectors but seen to lack marketing retention tools as compared to the retention tools employed by Amazon.
Shopify: Centred on facilitating merchants instead of directly maintaining consumers and the job of retention to stores, therefore retaining consumers is not a problem for supermarket supply chains as the responsibility lies with the store owners.
Sustainability Practices
Amazon: Engages in the use of renewable power sources and has the vision of sectors being neutral in emissions carbon emissions by 2040 but is currently accused of being an economic wasteful packaging.
eBay: Concerned with second-hand products, making it self evidently more sustainable although the corporate sustainability activities are limited.
Shopify: Currently supports environmentally conscious businesses by providing sustainability apps that target store owners hoping to help them improve their sustainability performance.
Lessons learnt from the Comparative Analysis Amazon remains consistently superior when it comes to logistics detail, and customer personalization and customer loyalty because of its high technologies in its production lines robust infrastructure.
It is especially good at a number of specialty and sustainability areas including the auction-based model, however, has logistical inconsistency examined in the following personalization With flexibility, Shopify is an enabler ensuring that small businesses can work independently but it depends on individual merchants to practice the best option, thereby coming up in varied performance.
Experimental Analysis
Here, it shows the basic summary or the experiments and outputs that have been made on the datasets are described. For instance Identifying how algorithms (AI) are make user personalisers and enhance their experiences fundamentally’ is the third research question -between consumers and organizations in e-commerce settings.
Comparison of performance between the developed desktop version and the mobile version commerce.
Example: >Analysis showed that of the two groups of platforms, the daily active ones had a higher propensity for some type of suspicious activity self-organizing complex analysis capabilities reflected by multiplied deep personalization = 35% increase user engagement in relation to those that rely on static recommendation systems.”
Model Robustness: This also came out clearly in the study as the machine ,despite this, it was evident that learning models are quite robust in separating such news as fake. certain feature that comprises the foundation of reliable and trustworthy the goods and services information communities. Hence, this study focuses on how important machine learning algorithms are for tackling the rising incidence of fake news. In order to maintain the integrity of However, there is one critical measure that should not be omitted media convergence as a phenomenon of news and information distribution in the digital age is the ability to automate the recognition of misinformation.
CONCLUSION
It was clear that the e-commerce platforms have been changing very dynamically over the last has transformed the global retail frontier, and in three decades has brought the store into the digital age unparalleled prospects and risks to companies and organisations and for society.
Consumers alike. To the best of the author’s knowledge, this study offered the most exhaustive examination of the history of e-commerce platforms, targeting technology, business processes, and decisions of companies and industries. transformations in the process of consumer behavior.
The results show that about the platforms such as Amazon,
The concept of competition is clearly seen when comparing eBay, Amazon, and Shopify but the basic difference between eBay, and Shopify is in their capability to invent or evolve shifting market conditions. Amazon’s dominance stems from technological base, an active artificial intelligence strategy e- tailing, customization, and customer loyalty and satisfaction tactics such as.
Amazon Prime. eBay has continued to thrive in the niche categories, while promoting the gostdlia business niche market place for the purpose of consumer-to-consumer (C2C) exchange. but for sustainability and exotic designs thrifty suppliers such as second-hand clothing stores.
Shopify, on the other hand, has leveled the playing ground for e commerce businesses by enhancing the competence of small and medium sized business by providing them with flexible instruments for personalizing the stores to provide targeted windows display according to the customers Nonetheless, there are challenges to this process These were complex Challenges however some of the areas that have been achieved include Security is still a worry with many people falling prey to heists or data breaches undermining the consumers’ confidence and requiring strong protection measures. The cut throat competition that has developed among the established digital market players together with participation in amalgamated logistical and supply chain interdependence variables. that will keep the going strain on the platforms. Additionally, the growing need for sustainability has led to companies of the platforms having to incorporate eco-friendly practices, which, of course, is an excellent thing, but it poses Finance and operations problems.
This work also underlines the importance of innovation as one of the key success factors in the financial performance of Easter European countries overcoming these obstacles. Starting with using AI to improve from innovative uses of cookies and other tools for the purposes of tracking, tailoring and marketing to the use of blockchain technology for secure identifier purchases and enhancing the supply chain visibility, technology will they continue to form the bedrock for e-commerce expansion. Moreover, The contenders underlined that the customer-oriented strategies have to be implemented in the platforms more emphasis should be placed on convenient, establish trust, and ethical methods.
In the following conclusion the study envisages a bright future for e-commerce, owing to capacity to be a change recurrence, an idea ecosystem. As consumer as the expectations rise high, the platforms that will triumph are the organisations which stay agile, ethical and technologically proficient.Based on current issues and the implementation of solutions that allow for the anticipatory management of issues new developments, e- commerce platforms can continue their path of growth trajectory and to rewrite the development of the digital marketplace.
FUTURE SCOPE
The future of this kind of business is set to be determined by emerging trends, innovative solutions, andpickupΗ emerging trends, innovative solutions, and changing consumer preferences a tendency towards sustainability, ethically- approved forms of advertising, etc.
This research, in turn, forms the background for examining several paths of development that can recast the structure of the digital market environment.
Key areas for future exploration include:
Higher Integration of AI and Machine Learning
- Enhanced Personalization: The use of generative AI and deep learning models can also change the customisation of e-commerce sites, which makes individualized shopping experiences for full-face cosmetics that are even more unique than individually sold products of human time data and of predictive analytics.
- Intelligent Chatbots: Future advancements in The conversational AI can make virtual shopping helpers more natural and able to suggestions respectively assist. special products and services to recommend to the customer, disagree matters and even, contractual transactions if they are so
- Demand Forecasting: AI can improve inventory management and supply chain operations in the context of closely predicting trends of demand for products through market .
Blockchain: Enhancing the Security of Transactions and Transparency Supply Chains
- Payment Security: Some arguments of using the technology pertained to the benefits that blockchain technology can give recommend improvements on security by allowing decentralized and permanent and secure transactional records thereby decreasing fraud to serve the specific purpose of ensuring that e-commerce transactions are more trustworthy.
- Traceability in Supply Chains: Blockchain can offer complete visibility in the preferential supply chain management which assists consumers to authenticate products concerning the issue of authenticity and proper procurement.
Sustainability and Green Commerce
- Eco-Friendly Logistics: Research can focus on Exploring the potential of minimizing e-commerce a environmental footprint efficiency by using carbon-neutral shipment electric delivery vehicles and energy and thus ensure they use energy-efficient.
- Circular Economy Models: Platforms could adopt The principles of circular economy were applied by allowing the resale, to repair, and recycling or reusing, the goods to be brought back instead of the disk being disposed of.
- Sustainable Packaging: Innovations in biodegradable and do not preclude using reusable packaging materials to match consumer pull forces driving a greener consumption pattern
The Effectiveness Of Augmented-Reality/Virtual-Reality- Enabled Shopping Environment
- Virtual Try-Ons: Augmented Reality (AR) can allow customers to even try out clothes before buying them and the overall decrease of refund requests related to shoes or accessories, or makeup enhancing satisfaction.
- Virtual Storefronts: Virtual Reality (VR) could make innovative environments for shopping experiences to occur, enabling consumers to browse virtual mall or store from the comfort of their homes.
- Interactive Product Visualization: AR/VR tools can anatomy can offer the 3D view of a product to give a better perspective informed purchase decisions.
To be more precise, the following issues were highlighted: Ethical AI Practice and Data Privacy.
- Consumer Data Protection: Future research should seek to find out how personalization can be done effectively and it has been the case with data privacy seeking to establish legal
It should still be relevant even when it comes to recent bills such as GDPR and CCPA consumer trust.
- Bias Mitigation in AI: Developing algorithms that provide unbiased recommendations and that the committees were bias free affects all customer portfolios When applied to all customer segments, it also has implications for the treatment of all customer portfolios.
- Transparent AI Practices: Platforms must adopt precise guidelines to how the consumer data is captured, encountered, employed and distributed more effectively, thus promoting improved accountability.
Broader Multicountry E-Merchant Techniques and Adaptations
- Cross-Cultural Adaptation: Understanding how e-commerce platforms can adapt some of the items they offer to meet cultural inclinations, languages, and other aspects within cultures consumers and tourists are part of payment systems acceptable in emerging economy.
- Affordable Technology Access: Exploring solutions The speak easy is meant to overcome digital divide so as to increase: consumers’ engagement in e-commerce from the less- served regions.
The following topic focuses on integrating IoT in E- Commerce:
- Smart Shopping: Since smart electronic devices are actively integrated in larger connected networks of the IoT, light bulbs or thermostats, automobiles or fridges, voice-activated assistants, help save time in shopping by ordering the same items again based on usage patterns.
- Real-Time Inventory Updates: IoT sensors in that, warehouses can present accurate and real time information on stock availability, they minimize on errors on stock and increase on the efficiency of the stock logistics.
Social Commerce and Community Building
- Influencer-Driven Commerce: Platforms can expand social commerce through live-stream shopping by where influencers present and market goods in real
- Community-Based Marketplaces: Research can
- Discussed about the technology that helps in building local communities allowing individual and small sellers to find closer buyers and minimize the larger effects of shipping on the environment.
Future of Payment Systems
- Cryptocurrency Adoption: Investigating the adoption of these currencies into the payment system giving improved, secure and cross-border transactions.
- Buy Now, Pay Later (BNPL) Models:
- Getting acquainted with the increasing shares’ advantages and disadvantages BNPL trend, thus addressing a subject of financial inclusion withoutآرج)]; and in particular within letters
- (a) and (b);as it stimulates nay, promotes the consumer over indulgence through debt.
Regulation and Compliance
- Global E-Commerce Laws: With e-commerce which involved cross-board platforms in the future studies may help to concentrate on a worldwide direction of legal rules and regulation towards regulations, equality treatment and policies for consumers.
- AI and Content Moderation: Platforms must establish ways of supervising and controlling the activity of users.
- synthesize and post articles and promo, letters and other fake goods to avoid leaking the secure shopping climate that can be trusted by its members.
- It means that by investigating these new trends and technologies, the futuresemester In its way, research can arm e- commerce platforms to stay ready competitive, ethical and customer-oriented. These improvements are not going to increase user satisfaction or commercial success funcitonal efficiency but also thesocial and successful handling of other environmental challenges leading to improvement of the sector long-term justice and equity for inclusive digital commerce
REFERENCES
Books and Academic Articles
- Chaffey, D. (2021). Final Semester Digital Business and E- Commerce
- Management. Pearson Education.
- The following book contains comprehensive information regarding the history on the changing trends of e-commerce websites, its significant milestones and future trends.
- Rakesh Kumar Singh & Sukhwinder Singh. (2022). “Adoption of Web 2.0
- Technologies in E-commerce Platforms.”
- IJBI- International Journal of Business Innovation and Research, 16(3), 234-249.
- Concerns itself with the ways by which Web 0 technologies enhance more consumer and platform contact and complicated delivery of consumer demand satisfaction applying to development of the e- commerce.
- Turban, E., King, D., Lee, J. K., Liang, T. P., & Turban, C. (2020). Electronic Commerce 2020: A Managers’ and Social Networks viewpoints. Springer.
- Provides an understanding on managerial, technological, and features of the social aspects of Electronic commerce
Industry Reports
- McKinsey & (2023). The State of Fashion and Sustainability 2023.
- As a brief of this report reveals the importance of the concept of sustainability and personalization for various contemporary electronic commerce sites with data on consumer trends.
- (2023). Being one, this research is entitled Future of Commerce Report 2023.
- Presents brief details about omnichannel retailing. personalization strategies, and the position of small retail stores in the context of omni–channel retailing and developing appropriate integrated marketing communications plans of various businesses in the e-commerce system.
- (2024). Cybersecurity in E-commerce – Trends Platforms.
- Presents the current and emerging threats in the cybersecurity environment strategies in e-commerce that will be supported and specified by statistical information.
- The Research Papers and Conference Proceedings contain published work of research scholars.
- Based on the recent knowledge brought by Huang and Benyoucef in 2013. “From e-commerce to social commerce: A close look at design features.” Computer Communication and Networking Journal of Electronic Commerce Research and Computer Communication and Networking Journal Applications, 12(4), 246-259.
- Addresses the topic of social contextual capability in e- commerce platforms and their effects to the customers
- Lee, K., & Kim, S. H. (2020). “Machine Learning for
- E-commerce Personalization.” Journal of Artificial Intelligence Research, No. 67 (1), pp. 45-63.
- Considers how socio-technical systems particularly AI and machine learning might be emploi building client-oriented
Articles and Case Studies from the internet
- (2022). “Innovation in Fulfillment: HowNew Logistics Network of Amazon is Transforming.” Reintroduces Amazon’s Fulfillment by Amazon (FBA). program and the role it plays for delivering better results in the company in logistics.
- (2021). “Sustainability in E-commerce: A Case Study of eBay’s Efforts.” Ponder their strategic framework regarding sustainable organization strategy by secondary products and company
- Shopify Blog. (2023). “How Small Businesses are Scaling with Shopify for Sustainable Growth: the Case of LP&F Concentrating on field apprehend concerning how small companies utilize the tools provided by Shopify’s to run successful e-commerce stores. Reports and White Papers
- Deloitte (2023). E-Commerce Trends in a Post- Pandemic World: Adapting to New Consumer Behavior. Adds information on how the pandemic has played the decision factor of shifting its trends and consumers online.
- World Economic (2023). Blockchain and the Future of Supply Chains Analyzes how blockchain technology could increase clarity and effectiveness of electronic commerce logistics.
- (2023). “Global E-Commerce Sales and Financial Analysis: Sales, Costs and Expenses, 2019 and 2020 As for the Balance Sheet, Sales Growth Projections, 2021-2025.” Source of statistical data used in a paper to support your findings or argument in the paper the continuous development of the internet business around the world.
- McKinsey Consumer Insights. (2023). “The Power of Personalization in E-commerce: How AI Is Changing the ” This is a survey report that presents the general consumers’ demand for personalised shopping experiences.Possible Future Developments & Some New Technologies 16. Gartner. (2024). Hype Cycle for Emerging Technologies in E- commerce. Offers information on modern technologies which include the future of augmented reality, IoT, and blockchain and their applications in e-commerce.
- (2023). “Virtual and Augmented Reality in Retail: Case Studies and Trends.” Invites contributors to discuss the future capability of AR/VR technologies in a particular field transform the way different online shopping experiences.