E-commerce Sector Research Articles

An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce

Artificial Intelligence (AI) has become essential to Electronic-Commerce technology over the past decades. Its fast growth has changed the way consumers do online shopping. Using the Technology Acceptance Model (TAM) as a theoretical framework, this research examines how AI can be made more effective and profitable in e-commerce and how entrepreneurs can make AI technology to assist in achieving their business goals. In this regard, an online survey was conducted from the online purchasers of e-commerce firms. The Partial Least Square (PLS) Smart was used to examine the data. The broadly used TAM was identified as an appropriate hypothetical model for studying the acceptance of AI technology in e-commerce. The findings of this study show that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU), trust has a positive effect on PEU, and PEU positively impacts PU and attitudes toward use. Similarly, PU also has a positive effect on attitudes toward use and intention to use. Furthermore, the findings do not support the impact of Trust on PU and attitudes towards behavioural intention to use. Lastly, behavioural intention to use positively impacted the actual use of AI technology. This study adds theoretical and practical knowledge for adopting the TAM model in the E-commerce sector. It helps entrepreneurs to implement the TAM model in their business to use AI in a better and more appropriate way.

Is E-Trust a Driver of Sustainability? An Assessment of Turkish E-Commerce Sector with an Extended Intuitionistic Fuzzy ORESTE Approach

Due mainly to COVID-19 and the demanding work schedules of many individuals, online purchasing sites have become indispensable. However, the dynamic online environment and everchanging customer demands make sustainable competitiveness challenging for e-commerce platforms. Humans primarily influence the preference for online purchase platforms. This study aimed to discover Türkiye’s top popular online shopping sites by adopting an extended intuitionistic fuzzy ORESTE (Organisation, Rangement Et Synthèse De Données Relationnelles) approach. Our study targeted this by surveying female users of four online shopping platforms using IF-ORESTE. The criteria were determined according to customer preferences. These were as follows: easy accessibility to the platform, providing regular discounts and campaigns, advanced filtering settings, the contractual merchants’ reliability, quick delivery, being more affordable than competing platforms, positive feedback in user comments, having a large brand volume, having an installment option, and having partnered cargo companies. The least important factor was the large volume of brands on the online websites. Quick delivery of orders and positive feedback in reviews were equally important. Similarly, the decision-makers considered regular discounts and promotions and the comprehensive filtering settings as equally critical. However, these criteria were less significant than quick delivery and positive customer feedback. This work’s novelty lies in implementing the IF to the ORESTE in the Turkish e-commerce industry. The implications and future directions are discussed.

Perceived Usability Evaluation of TikTok Shop Platform Using the System Usability Scale

The popularity of TikTok is getting higher because from the start TikTok is a platform that provides a new experience that combines the experience of social media as well as transacting online.TikTok allows businesses to market their products in as creative a form as possible, such as making videos and building a community with their market share. TikTok is an application that plays an important role in paid promotional media, which is of course directly related to digital marketing carried out by business people in the e-commerce sector. In this research, the author wants to know the usability of the TikTok Shop feature as an e-commerce feature that has recently become increasingly popular in society. The System Usability Scale (SUS) will be used to test whether the TikTok application, especially the TikTok Shop feature. The standard SUS version has 10 instruments. The accuracy value is then measured using acceptable rage, grade scale and adjective ratings System Usability Scale (SUS). Based on questionnaire data collected from 49 respondents, it was found that 10.6 percent of the respondents were male and 93.6 percent of the respondents were female. The accuracy value of 79.49 is included in the acceptability ranges acceptable category, meaning that the TikTok Shop platform can be accepted by users, getting a C grade scale means it is quite good and is included in the adjective ratings excellent category.

Cyber security laws and safety in e-commerce in India

In today’s information technology age, the issue of cyber Security is a complicated and fascinating area of law. The phenomenal growth and development of e-commerce in India is astounding. However, with the rising dependence on internet commerce, the dangers of fraud and security and trust problems have become severe impediments. Creating robust legal and regulatory frameworks that meet the growing concerns about online fraud, data security, and intellectual property protection in both local and international business contexts is critical. The e-commerce sector, like any expanding business, confronts various obstacles, primarily due to an inadequate and inefficient legal and regulatory framework that fails to guarantee the rights and duties of all players engaged sufficiently. To protect user data, tackle cyber threats, and maintain customer trust, e-commerce enterprises must comply with legal regulations. In India, cybersecurity governance falls under the Information Technology Act of 2000, regulating e-commerce, electronic contracts, data protection, and cybercrimes. The imminent passage of the Personal Data Protection Bill, 2019, is expected after ongoing review. The Indian Penal Code addresses unauthorized access, hacking, identity theft, phishing, and computer virus dissemination. The Reserve Bank of India oversees online payment and financial security, mandating two-factor authentication, encryption, and secure payment channels. CERT-In coordinates national cybersecurity incidents, while electronic signatures and digital certificates hold legal recognition. Intellectual Property Laws regulate online violations of patents, copyrights, and trademarks. The Indian government also enforces cybersecurity standards for enterprises and organizations, covering IT infrastructure and incident response. Nonetheless, further steps must be taken to improve the efficiency of India’s cyber security regulations. This research study uses a doctrinal and analytical approach to examine India’s present Cyber Security Laws and Guidelines. It assesses their effectiveness in addressing legal concerns with Security, privacy, and data protection inside the country. It also evaluates the legal structure that governs the link between e-commerce and Cyber Laws in India. This research will provide a thorough overview of the present condition of cyber security regulations in India, setting the way for prospective reforms and progress in this critical area.

The influence of brand image on purchase intention in social commerce TikTok Shop: The role of trust

People are starting to change their habits, especially after the Covid-19 pandemic, which made them prefer shopping online. Many online shopping platforms can be used by consumers, including social media as well as e-commerce or the social commerce term TikTok Shop. The TikTok application has great potential in the e-commerce sector, including the marketing industry and online shopping media in the form of short videos. On the other hand, TikTok can provide a positive value to the brand image of a product. If the product has a positive brand image, the impact will be that people will trust and know the product well. Besides the brand image, consumer purchase intention is also based on trust. The problem is consumer trust in TikTok as a social media-based online shopping tool is still being debated. This study aims to prove the effect of brand image mediated by customer trust on purchase intention in the social commerce TikTok Shop. This research method is quantitative, and the data used is primary data from an online survey via LimeSurvey. The total number of respondents is 333 people who are spread throughout Indonesia. Next, the collected data was analyzed by SEM on SmartPLS. The results of the study show that brand image has a significant effect on customer trust and purchase intention.

The Impact of Website Quality on Online Purchase Intention: The Mediating Effect of e-WOM, Jordan Context

Purpose: The objective of the study is to investigate how the quality of a website impacts the intent to purchase, as assessed by factors such as usability, quality of information, service interaction quality, eWOM, trust, and satisfaction. Theoretical framework: This research has provided empirical evidence of the factors that influence the online shopping behavior of consumers. Design/methodology/approach: The research was conducted using a quantitative approach, with SPSS statistical methods applied. An online survey was administered to 303 customers in Amman, the capital of Jordan. Findings: The results suggest that website quality, customer trust, and satisfaction significantly and positively impact eWOM, thereby increasing the intent to purchase among consumers in Jordan's e-commerce sector. Research, Practical & Social implications: This research offers valuable managerial principles to assist e-commerce businesses in improving their performance. It also provides valuable insights into the evaluation of eWOM and purchases intent in Jordan, serving as a foundation for future research in this area in Jordan and other countries. Originality/value: this study provides a foundation for future research to investigate the complex and multifaceted nature of online customer behaviour in the e-commerce context

PERANCANGAN DASHBOARD DAN PREDIKSI PENJUALAN UNTUK TOKO NAGAMASYURMART

The impact of Covid-19 has affected the economy individually, households, micro, small, medium and large companies, even affecting the country's economy with a scale of local, national and even global coverage. Although on the one hand the economy is weakening, on the other hand, the economy is also experiencing improvement, namely in the electronic commerce or e-commerce sector. Consumer needs for various kinds of products that can prevent and protect themselves from the transmission of Covid-19, such as masks, have increased. The increase in various types of masks from various manufacturers makes it difficult for Nagamasyurmart stores to monitor sales and make decisions in predicting future product sales. The purpose of designing this dashboard is to make it easier for store owners to find out sales information in visual form and make decisions easier. Sales data used in designing this dashboard is sales data from Nagamasyurmart Stores. The method used in designing this dashboard is the prototype method, while the prediction method used is the linear regression method. The results obtained are a sales dashboard with sales predictions to make it easier for store owners to make decisions for further sales.

Sentiment Analysis of E-commerce Product Review through Machine Learning

Sentiment analysis is a way which is used to determine that a piece of information is positive, negative or neutral. In the analysis of text or any kind of information natural language processing (NLP) and machine learning (ML) both are combined to assign sentiment scores to the topics, categories and any kind of entities within a given phrase. In today's day and time online shopping has become well received among the people. If we talk about ordinary people, they always think too much before buying any product through any e-commerce application. The trust of the people of e-commerce applications is not very high. So, people turn to reviews to fill this confidence gap. And to ensure this trust Sentiment Analysis were used. Our project can be a great option for people to maintain their trust. In this project we are analyzing products of respective e-commerce apps on the behalf of their reviews and ratings. Users will get information for each product whether it can be a good one or not on the basis of reviews and ratings. A great number of internet sources are present on categorical views of activities, goods and services, beliefs or perhaps the mind created by the online dwellers. In this fierce business world, various industries, especially e-commerce, exceptionally use sentiment analysis to increase productivity and make better business decisions. This project tackles a comprehensive overview of sentiment analysis and relevant techniques in the e-commerce sector that is always keen to find out about the consumers' opinions of their goods and services. It starts with the view of an assessment of sentiments that have come out as a method for understanding clients’ emotions.

Inclusive leadership and employee innovative behavior: moderated by creative self-efficacy

In the academic and other sectors, Employee Innovative Behavior (EIB) is a significant problem. Employees in the e-commerce sector are experiencing more job instability as a result of the growing uncertainty imposed by COVID-19. Career sustainability (CS) is now in concern. Creative self-efficacy (CSE) is a person's confidence in their capacity to create. CSE creative thinking and problem-solving, which may lead to professional success and innovation. Additionally, CS must be taken into account because one's perception of the sustainability of a career affects their propensity to innovate. Based on the theory of job demands and resources (JDR), this study uses a combination of theoretical construction and quantitative analysis to examine how creative self-efficacy influences the relationship between inclusive leadership and employee innovation behavior in China's e-commerce sector, particularly livestream e-commerce. Employee perceptions of occupational sustainability were examined for their potential mediating effects. This research examined the role of CSE as a mediator in the aforementioned connections as well as the effect of CS leadership, which is EIB, on inclusive leadership (IL). The construct validity and path connections are examined by structural equation modeling. The findings demonstrate that the risk created by the COVID-19 epidemic for China's live streaming e-commerce, IL can only assist the translation of employment assets into workplace EIB when employees perceive CS. The findings demonstrated that IL enhances EIB through CSE. The research provides a theoretical basis for IL and EIB and conceptually overcomes the gap. We guide companies and executives on how to actually give workers tools at work that will support their CS while advancing their EIB.

Government Initiative to Propose E-commerce Logistics Companies to Improve Parcel Accessibility and Scanning in Fulfillment Centers

In the recent era, the rise of the Internet has brought about a significant disruption in the global economy regarding the new height of innovative businesses, which created different employment opportunities. But still, people are struggling to cope with this recent phenomenon and cannot fully utilize these solutions for their benefit. One of the most critical ways of business emerged through the Internet as E-commerce. So, people are getting so many benefits from it, but in some areas, they are still struggling to get effective results; that is why to deal with these issues and suggest a proper way forward. Therefore, this Paper's objective will be to pick and choose one of the challenges and then will provide the solutions that will fill in the gaps, and most importantly, how the government will play a vital role in the successful running and implementing of this initiative to boost the E-Commerce sector productivity.

Potensi Disruptif Digital di Negara Berkembang

This research study aims to analyze digital disruptive opportunities and threats for the Indonesian state and nation. The method used in this research is qualitative analysis with a literature study approach. There are a number of digital economy practices that have caused Indonesia to lose potential state revenues. The interesting phenomenon of the case of Chinese tourists in Bali with WeChat Pay and Alipay has cost Indonesia foreign exchange, and is detrimental because the transactions are not recorded. The polemic about taxes on electronic transactions is still limited to tax collection in the e-commerce sector, while social media (Medsos) and over-the-top services (OTT) are still a polemic. This section also discusses mastery of data and transaction flows in the digital economy. The recommendations in this chapter focus on how Indonesia can address this “leakage”. One of them is through tax reform for e-commerce actors, equal level playing with businesses in Social Media, and other digital transactions.
 Keywords: opportunities and threats, digital disruptive

Blockchain-Based E-Commerce: A Review on Applications and Challenges

E-commerce platforms enable companies of all sizes to sell their items and promote their brand to a broader audience. The e-commerce sector is continually developing, as new technology and methods of purchasing and selling services and items are developed. The traditional e-commerce system is plagued with problems, such as payment disputes, chargebacks, fraud, and a lack of transparency; however, blockchain can transform e-commerce by making transactions more efficient and safer. Blockchain can be used to build a decentralized network that allows people to securely store and share digital assets. This would enable buyers to access product details such as the product’s origin and source, as well as reduce the risk of fraud. Although the application of blockchain in e-commerce remains in its early stages, this review paper examines research on blockchain-based e-commerce, focusing on applicability and problems in the context of the available literature from 2017 through 2022.

Is Bangladesh’s policy response to the growing e-commerce sector compatible with its commitment to fight predicate offences for money laundering?

PurposeThis study aims to investigate Bangladesh’s e-commerce regulations in light of the growing criticism that they are insufficient to curb predicate crimes like fraud and money laundering in the online marketplace.Design/methodology/approachThis study used the exploratory design to examine the latest ministerial directives and laws governing e-commerce in Bangladesh to determine why they cannot prevent fraudulent activities in this promising sector and identify potential solutions.FindingsBangladesh’s regulatory responses to e-commerce fraud prevention and detection are reactive and inadequate. Regulators are unwilling and unable to enforce available legal provisions for various reasons, including a lack of knowledge and coordination among the agencies.Research limitations/implicationsThis paper focuses solely on the legal and regulatory framework in place to combat e-commerce fraud. Other critical issues, such as consumer rights, privacy and data protection in e-commerce, are not addressed.Practical implicationsThe findings of this study will assist policymakers in revising current regulatory approaches to e-commerce to protect this sector from criminal abuse.Originality/valueThis study looked into the possibility of using a proactive risk-based approach in the e-commerce sector, similar to what the Bangladesh Financial Intelligence Unit does in the financial sector.

Research on Deep Cooperation and Collaborative Development Between China and Indonesia Cross-Border E-commerce Based on Silk Road E-Commerce

With the rapid development of "Silk Road E-commerce", the cross-border e-commerce cooperation between China and countries along the "Belt and Road" is gradually deepening. As a major e-commerce country and the initiator of "Silk Road E-Commerce", China has rich experience and a good material foundation. As the largest economy of ASEAN and one of the partner countries of "Silk Road E-Commerce", Indonesia has a broad market and a huge consumer base. The cross-border e-commerce sector between China and Indonesia has shown strong complementary and synergistic development capabilities. This paper first analyzes the basic situation of "Silk Road E-commerce", followed by an in-depth analysis of the current situation, development pain points and cooperation space of cross-border e-commerce in China and Indonesia, and puts forward six suggestions for the development of cross-border e-commerce in China and Indonesia, which provide strong academic support for scholars in this field.

A Systematic Requirement Analysis for Dynamic Pricing in Retail E-Commerce

Abstract: Retail e-commerce has been exploding recently, with billions of people using the internet to buy goods and services. Due to the vast number of vendors selling similar products to consumers and the high degree of price transparency enjoyed by purchasers, the e-commerce sector is fiercely competitive. Vendors frequently use dynamic pricing, also known as discount pricing, to ensure they generate a healthy profit. In this paper, we present a systematic analysis of the requirements for a modern e-commerce dynamic pricing system. We cover the business, stakeholder, functional, and non-functional requirements of ecommerce dynamic pricing. We additionally offer a generic architecture blueprint based on what we have learned about the requirements for dynamic pricing

Innovative strategy in e-grocery: The future of retail outlets?

Grocery purchases via e-commerce channels have risen substantially within a few months as a consequence of the COVID pandemic’s influence on consumer behavior. Traditional commerce has been transformed by the internet, benefiting both businesses and buyers. A rise in the number of people using the internet and their smartphones has been a major driver for expansion in the e-commerce sector. To accurately gauge the future of online grocery shopping, it is important to have a firm grasp on the factors that have contributed to its rise in popularity. This case study attempts to investigate and asses consumers adoption of e-grocery platforms by using the Unified Theory of Acceptance and Use of Technology model (UTAUT) and is distinctive in that it incorporates a situational factor-COVID and a customer centricity component into the UTAUT 2 model in order to determine the drivers of users’ behavioral intention toward e-grocery purchase in India.

E-commerce customer churn prevention using machine learning-based business intelligence strategy

Businesses in the E-Commerce sector, especially those in the business-to-consumer segment, are engaged in fierce competition for survival, trying to gain access to their rivals' client bases while keeping current customers from defecting. The cost of acquiring new customers is rising as more competitors join the market with significant upfront expenditures and cutting-edge penetration strategies, making client retention essential for these organizations. The best course of action in this circumstance is to detect prospective churning customers and prevent churn with temporary retention measures. It's also essential to understand why the customer decided to go away to apply customized win-back strategies. Each customer's information, including searches made, purchases made, frequency of purchases, reviews left, feedback is given, and other data, is kept on file by the e-commerce company. Machine learning and data mining may be aided by examining this enormous quantity of data, analysing customer behaviour, and seeing potential attrition opportunities. The support vector machine is a popular supervised learning method in machine learning applications. Predictive analysis uses the hybrid classification approach to address the regression and classification issues. The process for forecasting E-Commerce customer attrition based on support vector machines is presented in this paper, along with a hybrid recommendation strategy for targeted retention initiatives. You may prevent future customer churn by suggesting reasonable offers or services. The empirical findings demonstrate a considerable increase in the coverage ratio, hit ratio, lift degree, precision rate, and other metrics using the integrated forecasting model. To effectively identify separate groups of lost customers and create a customer churn retention strategy, categorize the various lost customer types using the RFM principle.

Ecommerce an Emerging Platform to Boost Global Economy

One of the Indian economy's fastest-growing sectors is e-commerce. E-commerce is a paradigm change that offers consumers several benefits, including reduced prices, more options, and time savings. Global e-commerce is expanding quickly. Electronic commerce encompasses the entire online process of designing, promoting, selling, delivering, servicing, and paying for goods and services in addition to just purchasing and selling goods and services online. E-commerce is growing and offering benefits not just in rich nations, but also in underdeveloped nations. E-commerce is crucial to the expansion of the Indian economy on a worldwide scale. E- Commerce is amazing platform to Promote and comprehend economic and social progress in Indian economy." Globalization, liberalisation, and the easing of restrictions on imports and exports between countries will lead to higher knowledge and information technology growth in all economies. E-commerce is having a significant impact on the Indian economy by raising income and creating more jobs in the information technology industry in a developing country. With a compound annual growth rate (CAGR) of 52%, e-commerce is India's fastest-evolving business and is expected to reach USD 36.7 billion by 2020. From US$ 38.5 billion in 2017, the Indian e-commerce sector is anticipated to reach US$ 200 billion by 2026. Throughout the next five years, it is anticipated to reach $100 billion, adding more than 4% to India's GDP. The effect of e-commerce on the Indian economy is discussed in this study. The retail industry in India is thought to be worth $600 billion. Just 5% of all transactions are made online nowadays. There is clearly space for development when compared to the 15% market share that ecommerce now holds in the US. Despite initiatives like "Digital India," the accessibility of smartphones, and the low cost of data plans, large portions of India's population have not yet joined the internet. By 2021, there will be 829 million internet users in India, up from 665 million in 2015. So, the market's intrinsic potential is apparent. And yet, with just 50 million online buyers, only 20 million of whom make purchases on a regular basis, ecommerce remains remarkably underdeveloped. If India wants to continue playing a key role in global ecommerce, it must address a problem like this one. To ensure that transitions go smoothly and with little disturbance, the business sector must work with the GoI on this. In order to do this, a comprehensive ecommerce framework must be created, one that integrates best governance principles while meeting the special requirements of this enormous new customer base.

An Innovative Tool to Measure Employee Performance through Customer Satisfaction: Pilot Research Using eWOM, VR, and AR Technologies

Recent research reflects the assessment of customer satisfaction from different perspectives, an important aspect in all sectors that must be expressed in measurable parameters of organization performance. By reviewing the literature, we noticed the lack of a specific indicator to quantify the tripartite relation: customer satisfaction—employee performance—company performance. Therefore, based on Six Sigma and Lean Six Sigma methods, the paper introduces an innovative measurement tool named the Spc indicator (The Assessment System of Employee Performance according to Customer Satisfaction) and the related implementation methodology (named ITA). The aim of the paper is to implement an innovative tool to improve the efficiency of employee performance assessment systems in relation to company performance in services and industry sectors through customer satisfaction assessment. By using AR and VR as implementation technologies, our present results extend and compare the results from other pilot research made by authors in the e-commerce sector. The results point out that mystery shoppers and electronic word-of-mouth (eWOM) applied in e-commerce are more efficient than AR and VR technologies applied in services and industry, as reflected in the company’s performance. Furthermore, customer–employee interactions and communications with eWOM in e-commerce are more efficient than WOM used in services and industry. This paper contains both theoretical and practical contributions by offering a new, short-time innovative tool for the continuous improvement of the company with applications in different fields.

Examining trust, self-efficacy, and technology acceptance in the Philippines’ e-commerce sectors

Despite intensified use of information and communication technologies (ICTs) supporting increased demand for online services, some entities are still unable to take full advantage of their benefits. This is mostly due to differing degrees of ICT adoption and of appreciation of what ICTs can do. This research, utilizing a UTAUT-based theoretical framework integrated with trust, self-efficacy, perceived risk, anxiety, and utilitarian and hedonic motivations, provides additional insights on the contextual differences that are present within e-commerce use. Analyzing data from 997 Philippine respondents across websites and mobile apps and across retail, banking, food services, and tourism booking organizations through structural equation modeling (SEM) yielded consistently favorable influences of self-efficacy and hedonic motivations, as well as interesting insights on the factors influencing attitudes and intentions towards using these e-commerce platforms. These results open several theoretical and practical implications and suggestions emphasizing a more directed, rather than blanket, approach in managing e-commerce technologies depending on the context.