Online Retail Sector Research Articles

AI Enabled E-commerce Platform

An overview of AI-based e-commerce plat forms and their effects on the online retail sector is given in this survey. Businesses are starting to use artificial intelligence (AI) to improve customer experience, streamline processes, and boost revenue development in the e-commerce industry as a result of the technology’s rapid advancement. This research offers a thorough examination of the state of AI-based e-commerce platforms today, stressing their salient characteristics, advantages, difficulties, and potential. The first part of the poll introduced artificial intelligence (AI) and how it relates to e-commerce. It looks at how artificial intelligence (AI) technologies like computer vision, machine learning, natural language processing, and recommendation systems are being incorporated into e-commerce platforms to provide intelligent customer support, enhance product search and discovery, and offer personalized shopping experiences. Additionally, it explores the role of AI in enhancing customer engagement through chatbots, virtual assistants, and personalized marketing campaigns

Channel structures of third-party platforms

The growing prominence of third-party (3P) platforms in the online retail sector has made the selection of an appropriate channel structure strategy a critical concern for manufacturers, 3P platforms, and retailers operating within this environment. We construct a Stackelberg game model with the manufacturer as the leader, evaluating four channel structures: (A) reselling and retailer agency selling, (B) agency selling and retailer agency selling, (C) reselling and agency selling, and (D) reselling, agency selling, and retailer agency selling. The supply chain can adopt two pricing strategies: uniform pricing (UP) and differential pricing (DP). Research indicates that expanding the number of channels may not always enhance profitability for suppliers and supply chain participants. Under strategy UP, the 3P platform opts for structure B, whereas the retailer favors structure C. Incorporating agency selling is advantageous for the manufacturer; however, structure A represents the least beneficial option for the supply chain. Under strategy DP, a substantial portion of the pareto optimal region is present. Intense competition and reduced agency fees lead both the supply chain as a whole and individual member to prefer structure A. The addition of a reselling or retailer agency channel boosts the manufacturer's profits, and benefits the 3P platform, while structure D emerges as the least favorable option for the retailer. Furthermore, under strategy DP, structure C is rendered obsolete, signifying the retailer's essential role in the supply chain to the advantage of all involved parties. Our study advances the scholarly understanding of sales models and platform economies by offering valuable insights into the decision-making processes of manufacturers, third-party (3P) platforms, and retailers regarding channel structure choices in a 3P platform environment.

A STUDY ON CONSUMER SATISFACTION TOWARDS ONLINE SHOPPING WITH SPECIAL REFERENCE TO KALYANA KARNATAKA

This study examines consumer satisfaction in the context of online shopping, with a focus on Flipkart, one of India's leading e-commerce platforms. The research explores various factors that influence consumer satisfaction, including time-saving features, product variety, discounts, pricing, delivery speed, and the impact of social media on purchasing decisions. A sample of 150 respondents was surveyed using a structured questionnaire, with data analysed through statistical tools such as pie charts and tables. The results indicate that younger consumers, particularly those under 30, and female shoppers constitute the majority of online shoppers. Social media was identified as the most significant medium influencing purchasing behaviour, surpassing traditional channels such as television and newspapers. Key findings highlight the importance of fast delivery, competitive pricing, and a wide variety of product options in driving consumer satisfaction. The study also reveals that concerns about online payment security and return policies remain barriers to achieving full customer satisfaction. Based on the findings, the study suggests that e-commerce platforms can improve customer trust and loyalty by enhancing payment security, streamlining return policies, and leveraging social media for personalized marketing. The study concludes by emphasizing the role of consumer satisfaction in maintaining a competitive advantage in the growing online retail sector. KEYWORDS: Consumer satisfaction, online shopping, e-commerce, Flipkart, purchasing behaviour, product variety, discounts, social media influence, delivery speed, payment security, return policies, customer loyalty, demographic trends.

Application of data mining technique for customer purchase behavior via Extended RFM model with focus on BCG matrix from a data set of online retailing

This study explores the integration of data mining, customer relationship management (CRM), and strategic management to enhance the understanding of customer behavior and drive revenue growth. The main goal is the use of application of data mining techniques in customer analytics, focusing on the Extended RFM (Recency, Frequency, Monetary Value and count day) model within the context of online retailing. The Extended RFM model enhances traditional RFM analysis by incorporating customer demographics and psychographics to segment customers more effectively based on their purchasing patterns. The study further investigates the integration of the BCG (Boston Consulting Group) matrix with the Extended RFM model to provide a strategic view of customer purchase behavior in product portfolio management. By analyzing online retail customer data, this research identifies distinct customer segments and their preferences, which can inform targeted marketing strategies and personalized customer experiences. The integration of the BCG matrix allows for a nuanced understanding of which segments are inclined to purchase from different categories such as “stars” or “cash cows,” enabling businesses to align marketing efforts with customer tendencies. The findings suggest that leveraging the Extended RFM model in conjunction with the BCG matrix can lead to increased customer satisfaction, loyalty, and informed decision-making for product development and resource allocation, thereby driving growth in the competitive online retail sector. The findings are expected to contribute to the field of Infrastructure Finance by providing actionable insights for firms to refine their strategic policies in CRM.

Examination of Online Purchase Intention towards Air-conditioner

Aims: E-commerce allows businesses to expand their reach and provides customers with a convenient method to shop at any time, from any location. In recent years, Vietnam's online retail sector has expanded rapidly, but the market for air conditioners has lagged behind. It is important for businesses in the air-conditioner (AC) market to identify what factors influence consumers' intention to purchase air conditioners online.
 Methodology: Regression analysis was conducted from data collected from 412 end-users in Vietnam to identify the primary factors that influence the online purchase intent of AC consumers by using SPSS version 22.
 Results: In order of importance, the results indicate that perceived utility (PU), E-shopping quality (ESP), and sales policy (SP) positively influence online purchase intention. The remaining two variables Price sensitivity (PS) and Perceived risk (PR) have a substantial negative effect on AC consumers' online purchase intent.
 Conclusion: These results provide retailers and AC brands with valuable guidance as they formulate a strategy to increase AC's online sales in Vietnam strategy to expand Internet sales for AC in Vietnam.

Consequences of Growing Trend of Digital Transformation in Retail Business of India: A Contemporary Analysis

Abstract: The Indian retail industry is undergoing a rapid digital transition, which is being driven by a number of factors including digitalization, smartphone use, and widespread internet connectivity. Additionally, the government of India launched its flagship program, Digital India, to ensure that the nation is technologically advanced on the internet. The Indian retail industry has seen incredible expansion in recent years, with several new firms joining the market. The study came to the conclusion that the major critical factors influencing the online retail sector's digital trends. This study is descriptive, and convenient sampling was carried out among particular Indian retail establishments. The adoption of digitalization as a key technological development will determine how nations use it for years to come. It will guarantee economic efficiency and competitiveness, provide new goods and jobs, address issues with fund-raising, enhance governance, and address inequality. With a big population that lives in rural areas at a rate of over 60%, India is especially in need of digitalization to close the economic gap and empower its citizens to compete more effectively in the modern economy. The retail sector in India is rapidly changing as a result of a number of factors, including widespread digitalization, smartphone penetration, and internet access. In addition to making sure that our nation has digital technology capabilities.

Motivasi Konsumen Remaja Surabaya dalam Menggunakan Tiktok Live Video Shopping

Teenagers are the top consumer group and a potential market for the online retail sector. Teenagers are the age group that adopts technology the fastest, so they stand to gain the most from the availability of online shopping sites. This study was created by adapting earlier research that was done on live shopping broadcasts or live video shopping by Ma, Andersson, and Pitz in 2021. Both studies attempt to explain why viewers are devoted to particular channels by putting forth three types of connected consumer gratification in live shopping broadcasts. Hedonic motivation, utilitarian motivation, and social motivation are three different types of gratification. The method used in this study is descriptive qualitative. Data collection techniques start from data collection, data reduction, data presentation, and conclusions. From seven informants of high school / K students in the city of Surabaya. The results show that in the utilitarian motivation of Surabaya adolescent consumers get information and product picture more clearly thanks to live shopping broadcasts. On hedonic motivation, sellers on the direct shopping channel became the main factor that led to entertainment satisfaction during watching the live shopping channel. While social motivation in Tiktok LVS has a small role for Surabaya teenagers in using Tiktok LVS. Social interaction between seller-buyer is not an important issue regarding the audience's motivation to engage in watching certain channels on Tiktok LVS.
 Keywords: Online shop, consumer satisfaction, Tiktok Live Video Shopping

TO DETERMINE THE IMPACT OF SOCIAL MEDIA FACTORS ON CONSUMER BUYING BEHAVIOUR: A STUDY ON DHAKA CITY

The research aims at how social media factors influences consumer buying behavior. The introduction of electronic media has created an extremely competitive economic environment that is difficult to maintain. Customers have more regional alternatives from which to choose, giving firms the ability to contact more consumers in less time, and customers more freedom in their purchasing decisions. Customers now consider a company’s online performance, particularly its digital marketing strategy, when deciding whether or not to make a repeat purchase. The investigation considers how the integrated digital platform may be put to use for complex business operations, such analyzing customers’ online purchasing patterns that work well with a digital value offer. The project also intends to investigate how the use of social media might increase customer interest, leading to a thriving online retail sector. The study’s findings bolster the value of social media for online retailers. Yet, businesses in Bangladesh are failing to fully grasp the potential of social media for the growth of branded e-commerce.

Card-not-present fraud: using crime scripts to inform crime prevention initiatives

Growth in the online retail sector and improvements in card-present authorisation measures have led to substantial increases in card-not-present (CNP) fraud, particularly in the online retail sector. This article uses crime script analysis to understand the commission process of CNP fraud in online retail settings. Drawing upon previous crime script articles and industry reports we outline the steps involved in the three stages of CNP fraud: preparation; doing it; and getting away. From this script, points of disruption are identified and we discuss prevention measures that stakeholders such as businesses and financial institutions could implement to reduce bad actors opportunities for CNP fraud.

Scale Purification and Validation: A Methodological Approach to Sustainable Online Retailing

Sustainability in the e-commerce business has created an overwhelming interest among practitioners and researchers. The different business models adopted by the e-retailers in India lack sustainable aspects, hindering them from generating sustainable revenues. To accomplish such goals, e-retailers need to focus on sustainable factors such as trust, innovation, timely delivery of goods, usability, internet speed and customer support service. In view of this, the article is aimed to create an instrument that captures sustainable online retailing by developing, measuring and empirically validating a scale. The validity of the scale was established by adopting a proper psychometric scale development procedure. The study found that after applying various judgmental and statistical criteria to the initial scale of 26 items, 17 items were retained with the removal of nine items sequentially at different steps. The dropped items could not meet the set thresholds of different criterion. Results of the study suggested that trust and internet speed in the present context are key determinants of sustainable e-retailing. The study focused on the online retail sector only. Methodological developments in other areas might lead to different results if the chosen criteria were to be repeated there. Both judgmental and statistical procedures need to be used with proper consensus. The practical implications of the study involve five constructs that e-marketers and practitioners could adopt to provide better customer experience resulting in higher customer satisfaction. The authors demonstrated a detailed procedure for scale purification. This procedure will help researchers in this area and in adjacent disciplines build greater consistency regarding applying methodological steps in scale purification. It will also assist reviewers and editors with tools to identify methodological errors while making review decisions. Such a scale will help in bringing standardization of the research carried out in sustainable online retailing.

The impact of COVID-19 on the evolution of online retail: The pandemic as a window of opportunity

Pandemic-related shocks have induced an unexpected volatility into the evolution of online sales, making it difficult for retailers to cope with frequently occurring, drastic changes in demand. Relying on a socio-technical approach, the purpose of this paper is to (a) offer a deeper insight into the driving forces of online sales during the pandemic, and (b) investigate whether pandemic-related shocks accelerate the long-term growth of online retail. Novel, high-frequency data on GPS-based population mobility and government stringency is used to demonstrate how time spent in residential areas and governmental restrictions drive the monthly evolution of online sales in 23 countries. We deconstruct these effects into three main phases: lure-in, lock-in, and phase-out. Lastly, using time series analysis, we show that the pandemic has induced a level shift into the long-term growth trend of the online retail sector in the majority of countries investigated.

Consumer Perception, Online Retailing and the Nigerian Experience: An Interchange of Demographic Patterns and Service Quality

Customer perception has earned a lot of interest in recent times as a tool for assessing service quality in service-oriented organizations. Although numerous studies have addressed customers’ perceptions of service quality in traditional service settings, a relatively small volume of literature has empirically examined service quality issues in the online retailing environment. In the case of Nigeria, there is no known research relating to perceived service quality of online retailers. To address this knowledge gap, the consumer perception of the online retail sector in Nigeria was studied. The expectation theory, the electronic service quality model, and the electronic recovery service quality model served as the theoretical foundations on which this study is based. The methodology involved the use of a descriptive survey method to assess the perceived service quality of the online retail sector and the effect of selected demographic factors on customer perception. The study was conducted with a sample size of 300 respondents. The results revealed that the perceived service quality of the online retail sector in Nigeria is above average but has room for improvement. The study also showed that customer perception was not affected by the demographic factors that this research focused on.

The Role of Customer Experience in the Relationship between Augmented Reality and Purchase Intention in Times of COVID-19: An Applied Study on the Online Retail Sector in Egypt

The Role of Customer Experience in the Relationship between Augmented Reality and Purchase Intention in Times of COVID-19: An Applied Study on the Online Retail Sector in Egypt

CLOUD ENTERPRISE RESOURCE PLANNING SYSTEM AND ORGANIZATIONAL EFFECTIVENESS OF ONLINE RETAILERS IN RIVERS STATE

The purpose of this study was to investigate the impact of Cloud ERP adoption on organizational effectiveness in the online retail sector within the context of a developing economy, such as Nigeria. The study was obliged by insufficient empirical substantiation from a developing economy's perspective. The study adopted a positivist, quantitative research design, with cross-sectional field survey data collection mode. The target population was 10 online retail companies in Rivers State and, data were composed from 30 management staff of the online retail firms studied. Data was analyzed by means of the simple regression analysis technique. The study finds that Cloud ERP positively and significantly influences goal accomplishment, and that Cloud ERP positively and significantly influences strategic constituencies’ satisfaction. The study therefore, concludes that Cloud ERP positively and significantly influence organizational effectiveness of online retailers in Rivers State, and recommends that, Online retailers should prioritize Cloud ERP adoption in order to attract and enhance goal accomplishment and strategic constituencies satisfaction and thus enhance organizational effectiveness.

THE INFLUENCE OF SELF-EFFICACY ON JOB PERFORMANCE OF EMPLOYEES IN THE ONLINE RETAIL SECTOR IN MALAYSIA – THE MEDIATING EFFECT OF INNOVATIVE BEHAVIOUR

Fundamentally, all employees can recognise the objectives they want to achieve and plan changes they want to implement in an organisation to attain better job performance. However, most employees also understand that commissioning these plans into reality is not easy. Psychologists have identified that workers' self-efficacy plays a significant role in tackling tasks and challenges in organisations. This research illuminates current situations regarding the significance of self-efficacy on employees' job performance in the online retail sector in Malaysia. A total of 511 employees attached to the online retail sector provided the data for this research. Additionally, in-depth literature was assessed, revealing the relationship between self-efficacy, innovative behaviour, and job performance. Moreover, the intervening effect of innovative behaviour on the relationship between self-efficacy and employees' job performance was also investigated to verify the research hypothesis. The findings of this research established a statistically significant relationship between self-efficacy and innovative behaviour as well as employees' job performance. Conclusively, the hypothesis is supported by data and illustrated that innovative behaviour statistically mediates the relationship between self-efficacy and employees' job performance in the online retail sector in Malaysia. This study also validates that employees who have high self-efficacy are willing to embrace innovative behaviour, which then leads to enhanced job performance. In conclusion, self-efficacy with the intervention of innovative behaviour can heighten the employees' job performance in the online retail sector in Malaysia.
 
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Two-Stage Heuristic Algorithm Proposal for Urban E-Commerce Deliveries

In today’s intensive competition conditions, it is an inevitable necessity for the companies operating in the e-commerce sector to manage their physical distribution processes efficiently and effectively. The most important step in e-commerce logistics processes is the last step delivery operations in the city. In order for these operations to be carried out quickly and efficiently, delivery vehicles and personnel must be optimally led. These problems, referred to as vehicle routing problem (VRP) in the literature, include determining the least cost routes that vehicles will cover to meet customer needs. In this study, the urban delivery problems of the enterprises operating in the online retail sector are examined. In line with these problems, VRP for urban e-commerce deliveries has been modified; open, multi-depot, distribution aggregation, time-window VRP is discussed. A mathematical model for the modified VRP has been developed and a new heuristic algorithm consisting of two stages has been developed for large-scale problems. The developed algorithm was tested on three different cases. The results are compared with the solution of the nearest neighbor method and the performance of the proposed algorithm is presented.

SEGMENTASI DAN PERAMALAN PASAR RETAIL MENGGUNAKAN XGBOOST DAN PRINCIPAL COMPONENT ANALYSIS

The growth of the online retail market in Indonesia is an excellent business opportunity. It is predicted that this growth will continue to move upward due to the increasing internet penetration. With greater exposure to brands, products and offerings, consumers become smarter and wiser in their purchasing decisions. Offering goods and services that match the tastes and behavior of consumers is very important to maintain business continuity. So far, the models developed are divided into two major parts, namely the time series approach and machine learning. In this study, segmentation and forecasting of online retail sector sales were carried out using extreme gradient boosting (XGBoost). The data used in this study is an online retail dataset obtained from the UCI repository. The k-means clustering (KMC) method is applied to determine the target or data class. Principal component analysis (PCA) is applied to reduce data dimensions by eliminating irrelevant features. Model evaluation is based on a confusion matrix and macro average ROC curve. Based on the research results, XGBoost can perform retail data classification well, this can be seen through confusion matrix metrics and ROC curves.

The dual-serving problem: What is the right choice of inventory strategy?

This paper defines and explores a dual-serving problem from the lens of inventory management. The problem arises when a supplier faces two different types of demand, i.e., one that is very frequent and regular, but in small quantities, while the other is sporadic and irregular, but in very large quantities. The former is easier to manage because of its greater predictability, while the latter can be of higher importance as it constitutes the majority of the annual sales. Such dual serving is becoming a significant problem in the online retail sector due to the increasing prevalence of daily deals platforms. We first investigate whether and in what circumstances the supplier is better off serving both types of demand. Then, we compare the performance of a conventional demand aggregation approach in the continuous review model with a particular inventory rationing strategy called protection, both at their optimal settings.

The e-commerce supply chain and environmental sustainability: An empirical investigation on the online retail sector

Despite the significant growth of e-commerce in recent years, especially in the business-to-consumer (B2C) online retail sector, its positive and negative environmental implications are unclear from previous research. To understand the environmental impacts of e-commerce, two conceptual models were first developed from the literature. Next, using 303 responses collected through a structured questionnaire from the GCC countries, the proposed models, including the relevance/appropriateness of each construct and its underlying items, were validated, and then the hypothesized relationships between them were assessed. The findings of Model 1 showed that green consumerism does shape the consumers’ positive and negative environmental attitudes towards e-commerce, which in turn was found to influence the behavioral intention to use e-commerce channels. In Model 2, positive environmental attitudes no longer predicted behavioral intention with the introduction of perceived ease of use and perceived usefulness constructs as consumers preferred ease of use and usefulness of e-commerce over positive environmental factors. Interestingly, the impact of negative environmental attitudes on behavioral intention remained even in the presence of perceived ease of use and perceived usefulness. The study provides critical insights for practitioners and policymakers in promoting and leveraging the positive environmental benefits of e-commerce, while at the same time strive to minimize/eliminate its negative environmental impacts. The study is arguably the first empirical attempt in understanding the positive and negative environmental implications of e-commerce and its impact on the consumer intention to use e-commerce, and hence the study findings are novel.

A Literature Review on Consumer’s Complaining Behavior and Dissatisfaction: Implication of Marketing Strategies with Special Reference to the Online Retail Sector

Customer complaint behavior (CCB) is defined as an action that is associated with the evaluation of the consumer experience with the consumption of the product. The product consumption outcome may be positive or negative depending upon the quality of the product and the needs of the consumer. The current research aims to contemplate online consumer behavior and its relationship with the online retail sector. It was found that by developing interactive platforms, the consumers can directly connect with the company and share their grievances and feedback with them. It will help the company to get understanding the needs and wants of the consumers and modify the product or service accordingly to meet their demands. It also includes adopting different marketing tools such as affiliate marketing, referral marketing, blogs, and social media marketing that are used by online retailers to improve consumer service levels.