Online Shopping Behavior Of Consumers Research Articles

Consumer Behavior in Online Shopping: A Comparative Analysis of Generational Differences

The consumer behavior in online shopping across different generations, focusing on Millennials, Generation X, and Baby Boomers. With the proliferation of e-commerce platforms, understanding how generational cohorts engage with online shopping is crucial for businesses aiming to effectively target and cater to diverse consumer preferences. Utilizing a quantitative research approach, this comparative analysis explores factors influencing online purchase decisions, including trust in online retailers, perceived risks, shopping motivations, and preferences for digital payment methods. variations in consumer behavior among generational cohorts. Millennials, characterized by their digital proficiency and preference for convenience, exhibit a higher propensity for online shopping and are more likely to embrace emerging technologies such as mobile commerce and social media influencers. In contrast, Generation X consumers prioritize product reviews and brand reputation when making online purchases, emphasizing trust and reliability in e-commerce transactions. Baby Boomers, while increasingly adopting online shopping for convenience, express concerns about data security and prefer traditional payment methods.

Empowering E-Commerce: Revolutionizing Inventory Management with Seamless API Integration

In today's dynamic e-commerce markets, effective inventory management is crucial for businesses to thrive. This paper explores the transformative potential of integrating Inventory Management APIs with e-commerce websites to streamline operations, enhance customer satisfaction, and maximize profitability. Beginning with an overview of the challenges posed by traditional inventory management methods in the digital age, we delve into the motivations behind adopting Inventory Management APIs and their alignment with the objectives of modern enterprises. Through a comprehensive literature review, we highlight the key dimensions of consumer behavior in online shopping and their implications for inventory management strategies. The methodology section outlines a systematic approach to developing an e-commerce website seamlessly integrated with an Inventory Management API, emphasizing agile principles and iterative development. Challenges and limitations associated with API reliability, data synchronization, scaling, and security are discussed, alongside strategies for mitigating these challenges. The results section showcases the tangible outcomes of the integration, including improved user experience, operational efficiency, and inventory accuracy. Looking ahead, the paper identifies future directions for geographical expansion, enhanced personalization, community features, mobile app optimization, integration of emerging technologies, and advanced analytics. In conclusion, the integration of Inventory Management APIs with e-commerce websites marks a significant milestone in redefining the standards for online retail, offering a comprehensive solution that combines user-friendly interfaces with robust inventory management capabilities. The findings underscore the importance of a holistic approach to e-commerce, addressing both customer-facing aspects and back-end complexities to drive sustainable growth in the digital marketplace.

Determinan Perilaku Belanja Online di Kota Jambi

Online shopping is a trend that has spread throughout Indonesia, especially during Covid 19. This trend continues to grow today. As the capital of Jambi Province, Jambi City is an area that has the most complete internet facilities compared to other areas in Jambi Province. The availability of internet facilities and other suggestions means that online shopping in this area is quite large. This research aims to assess consumer behavior in online shopping in Jambi City; and Factors that influence online shopping in Jambi City. The analysis model used is descriptive analysis and binary logit regression model. The research results show that the average frequency of online shopping in Jambi City is 1-2 times a month. 40.2% of respondents visited 2 online sites. The e-commerce application that respondents use most for shopping is Shopee. Cheap and easy to get goods is the first reason to shop online. The more online shopping sites that are visited, the public's perception is that online shopping saves time and buying shoes/bags and accessories online are factors that have a positive and significant influence on people's online shopping in Jambi City.

Online shopping behavior of consumers: An empirical study in preference to Kolkata city

Online shopping behavior of consumers: An empirical study in preference to Kolkata city

“Understanding Consumer Behavior in Online Shopping: A Study in Lucknow City”

“Understanding Consumer Behavior in Online Shopping: A Study in Lucknow City”

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

The Impact of social media channels on consumer behavior in online shopping

The Impact of social media channels on consumer behavior in online shopping

The Analysis of Consumer Behavior in Phenomenology Perspectives

This analysis is in the form of a conceptual analysis. The purpose of this paper is to find out the differences between Asian and European netizens. Asia and Europe have different numbers of netizens. Netizens in Asia have more numbers than netizens in Europe. Netizens in Asia and European netizens often use smartphones or tablets to buy products. Asia has substantial market potential in online business, while in Europe, several countries still need to improve social delivery networks and services. China, Japan, Korea and Southeast Asia are potential markets in Asia, while Germany, Poland, and Norway are potential markets in Europe. In conclusion, the online shopping behaviour of consumers in Asia and Europe is influenced by various factors, including demographics, cultural differences, payment methods, e-commerce platforms, mobile shopping, and cross-border shopping. Businesses catering to online shoppers must understand these differences to tailor their marketing strategies and provide a better online shopping experience. The phenomenological approach is used in research to support the importance of reading and understanding psychological conditions, financial physiology, and other market contexts

Phenomenological Analysis of Consumer Shopping Behavior in Asia and Europe

This analysis is in the form of a conceptual analysis. The purpose of this paper is to find out the differences between Asian and European netizens. Asia and Europe have different numbers of netizens. Netizens in Asia have more numbers than netizens in Europe. Netizens in Asia and European netizens often use smartphones or tablets to buy products. Asia has substantial market potential in online business, while in Europe, several countries still need to improve social delivery networks and services. China, Japan, Korea and Southeast Asia are potential markets in Asia, while Germany, Poland, and Norway are potential markets in Europe. In conclusion, the online shopping behaviour of consumers in Asia and Europe is influenced by various factors, including demographics, cultural differences, payment methods, e-commerce platforms, mobile shopping, and cross-border shopping. Businesses catering to online shoppers need to understand these differences to tailor their marketing strategies and provide a better online shopping experience.

Analyzing the mediating effect of consumer online purchase intention in online shopping of domestic appliances

The advancement of technology along with the unprecedented situation like Covid-19 has brought a big revolution in the e-commerce industry. The consumer finds ease in shopping domestic appliances online as compared to traditional shopping. The present study is being conducted to investigate the factors that influence customers’ online purchasing intentions (COPI) whereby trust (TT), perceived use and usefulness (PEUU), e-service quality (ESQL), perceived behavior control (PBC), subjective norms (SNM) and consumer online shopping behavior (COSB) were analyzed. A questionnaire was utilised as a survey tool to collect data from 383 respondents using a quantitative methodology. The data were examined using structural equation modelling (SEM) to test the hypothesis, fit the model, and determine the relationship between the variables evaluated. The analysis concluded that consumer online purchase intention (COPI) acts as a mediator between the independent variables (TT, PEUU, ESQL, PBC, SNM) and the dependent variable consumer online shopping behavior (COSB). According to the findings, perceived use and usefulness (PEUU) had a negative influence on purchase intention and behaviour, but consumer online purchase intention had a substantial effect on consumer online purchasing behaviour. The study provides scope and new avenues for future research. In addition to this, it also provides the platform for other researchers to target a specific age, gender, education, or marital status to design a new pattern of online shopping.

A STUDY OF FACTORS AFFECTING CONSUMERS’ ONLINE SHOPPING BEHAVIOR- WITH SPECIAL REFERENCE TO BARODA CITY

Online shopping is a kind of e-commerce that permits customers to buy products and services directly or indirectly over the internet while using websites or online shopping Apps. Nowadays it is clearly understood Online shopping is becoming more and more common among people, especially among undergraduates, and postgraduates students, who use it to make online shopping via any platform. The main purpose of the research was to study factors affecting the online shopping behavior of undergraduate and postgraduate students of Baroda city. A quantitative research method and a descriptive research design have been used for this research. Based on the results, after EFA total of 5 factors come out from the data analysis. The factors are Online shopping behavior, Attributes of Websites/Online shopping Apps, Convenience, Online shopping Apps/Website security, and Customer satisfaction. The result of the study revealed, there were 226 (65.9%) males and 117 (34.1%) females. Based on the result 229 (66.8%) participants were undergraduates and 114 (33.2%) were postgraduates. The study also found there was no effect of online shopping Apps or website attributes on consumers’ online shopping behavior. But two other factors Online shopping Websites’ security, and convenience, do affect positively the online shopping behavior of consumers. And the study also exposed there is a strong relationship between the online shopping behavior of consumers and customer satisfaction.

Examining Determinant Factors on Online Shopping Behavior upon Buying Furniture

The research is dedicated to examine factors that affect online shopping behavior of consumers upon buying furniture. These factors might be an important issue regarding e-commerce and marketing in the online furniture retail market. However, knowledge about online consumer behavior is still very limited because it is a fairly complex phenomenon in social life that can involve too many factors, especially in buying furniture online. One of the aims of this research is to uncover factors that have not been studied in previous studies, especially in the furniture industry. To acquire in-depth information, 10 informants were interviewed. Coding method was used to analyze the factors revealed in the transcript. The research identified that attitude (Financial Risk, Product Risk, Convenience Risk, Service and Infrastructure Variation), domain specific innovativeness, subjective norm (Family and Reference Group), and perceived behavior control (Playfulness and Informativeness) affect consumer purchase intention and thus affect their online shopping behavior in buying furniture online. The framework presented in the conclusion section will help further research on which factors influence the most.

A Review on Consumer Behavior Towards Online Shopping using Machine Learning

Study of consumer behavior in online shopping, as a rule, manages identification of consumers and their purchasing behavior. The purpose of such studies is to verify who purchases where, what, when, and how. The analysis of such consumer behavior is useful to get the buyer's prerequisites and requirements for their future aims towards the product. Through this review, E-commerce organizations can follow the utilization and sentiments appended to their items and adopt suitable promoting strategies to give a customized shopping experience to their buyers, consequently expanding their hierarchical benefit. This paper purpose to utilize information-driven promoting models, for example, information perception, natural language processing, and AI models that help in getting the demographics of an association. Additionally, make recommender frameworks through cooperative filtering, sentiment analysis, and neural networks.

Perilaku Konsumen dalam Berbelanja Online dimasa Pandemik Covid-19

To meet their daily needs for goods and services, people need to look for other good alternatives to make shopping easier. So that people start using e-commerce in the trade of goods and services so that everyone can access it. The purpose of this study is to find out how consumer behavior in online shopping is, then how to implement it in the midst of the Covid-19 pandemic. This research was conducted using descriptive qualitative research methods from journals and resumes from previous studies. The results show that by applying consumer behavior when shopping online will give a good impression to buyers and sellers. Consumer behavior must also reflect their relationship with Allah in accordance with the teachings of the Qur'an, so that humans are not wasteful in making purchases to meet the needs of each individual.

The Impact of Artificial Intelligence and Digital Economy Consumer Online Shopping Behavior on Market Changes

The rapid development of online technology has facilitated the gradual growth and development of e‐commerce and online marketing, creating a new business model and new opportunities. This has had a major impact on the future development of the market economy and the international competitiveness of companies and countries. At the same time, its appearance has also subverted the traditional retail market, and the convenience, reliability, and security of payment have been quickly recognized by people. Technological innovations represented by artificial intelligence have driven the development of the digital economy for decades. In order to better strengthen the statistics of the online shopping market and promote the development of the real economy, this study discusses the analysis of consumer behavior in online shopping based on the market changes of artificial intelligence and digital economy. Through the questionnaire, it can be found that all age groups have been exposed to online shopping, most of them are young people, and the number of shopping per month is still concentrated between 4 and 11 times. The study also examined the size of China’s online retail market and found that there were 820 million Internet shoppers in China by December 2021, which is forecast to be 910 million by 2022. The report also found that the B2C market share will reach nearly 61% in 2021 due to the B2C model featuring higher quality goods and more guaranteed services.

Investigating Online Purchase Intension Antecedents: A Study of e-Tailing Experiences

In today’s era the internet and smartphone has changed the way of communication and doing the business. The rapid growth of online shopping facilitates new opportunities to do business. To grab the opportunities and develop strategies to deal with the possible challenges in the Indian e–commerce market, the e-tailers should have the understanding about the e– commerce market and the factors affecting the online shopping behaviour of consumers. In this context, this study aims at investigating the attributes affecting the online shopping behaviour in the state of Odisha. It also examines the perception towards the various online shopping attributes like website attributes and customer attributes. This study is based on empirical survey, with the help of structured questionnaire through both online and offline modes. Data analysis has been done using SPSS software. The findings of this study suggests “website attributes” (comprising interactivity/ connectivity, privacy and safety, website atmospherics, trust, website usability, order fulfilment and customer support) and “customer attributes” (including telepresence, perceived risks, online shopping attitude, website reputation, perceived control, perceived skills, perceived self-efficacy and ease of use) have a significant relationship with customer experience. Demographic variables like income, age and gender were found to have significant impact on the medium of online shopping used.

Ecommerce Strategy Towards Shopee Consumer Behaviour In Online Shopping Through Electronic Word Of Mouth (EWOM) Variables

The growing use of internet-based technologies provides enterprise E-commerce with transformative benefits. The success of E-commerce is determined by the behavior of sellers and their decisions about which platform to use between application-based E-commerce or social media. Online shopping through the internet supports consumers to find information about a product or service and make purchases through direct interaction with online retailers. Word of mouth plays an essential role in consumer behavior, especially in online marketing, which supports consumers seeking more references. This study aims to analyze the effect of E-commerce and electronic word of mouth (EWOM) on consumer behavior in online shopping. The study was conducted on 75 respondents, and researchers used SmartPLS 3.0 to examine the relationship between variables in the model through SEM. From the research results obtained, internet marketing strategies directly affect EWOM and consumer behavior, while EWOM also directly affects consumer behavior. E-commerce startups have the most significant direct positive influence on online shopping consumer behavior across all channels. This result means that Shopee should give prime attention to its E-commerce strategy to increase its consumers.

Analysis of Indonesian Consumer Online Shopping Behavior During the Covid-19 Pandemic: A Shopee Case Study

Covid-19 affects and changes almost all aspects of life. Change is not only for awareness to have a healthy lifestyle but also people's preferences in doing online shopping. Many indicators influence changes in society in making decisions, especially in making online purchases. Because of this, in this research the needs of people with changing preferences after Covid-19, Shopee as one of the giant e-commerce in Indonesia must also adapt to existing conditions. This research was conducted using a descriptive method based on the results of a questionnaire to several samples witk purposive sampling of Indonesian society in metropolitan cities to obtain the findings and expected results of this study. Apart from using primary data, this research is also supported by reliable secondary data. The results of this study are to determine changes in people's preferences for online shopping after the Covid-19 pandemic. The research is limited to a sample of Indonesian people and Shopee as e-commerce platform. This research is expected to help Shopee, other e-commerce and other online seller to understand changes in customer demand and perception during Covid-19 to increase their sales and lead to customer satisfaction.Keyword: Covid19, Perception, Online Shopping.

Analisis Perubahan Konsumsi E-commerce Di Indonesia Selama Pandemi Covid-19

Writing this study aims to determine increased access to e-commerce, increased spending in online shopping on e-commerce sites, and effect variable trust, ease, hedonic motivation, price, promotion, shopping experience, and product quality on consumer behavior in online shopping during pandemic Covid-19. The data used are primary data be in the form of a questionnaire with sampling technique random sampling—Metode of analysis data in this study their descriptive analysis and multiple linear regression. The analysis result shows increasing access to e-commerce sites during pandemic Covid-19 and increasing spending in online shopping through e-commerce sites during pandemic Covid-19. Analysis result of multiple linear regression shows that variable ease, price, promotion, shopping experience, and product quality significantly affect consumer behavior during the pandemic Covid-19. At the same time, trust and hedonic motivation does not have a significant effect. E-commerce continues to develop features to make it easier for consumers and ensure transaction security. That considerable effect on consumer behavior during the pandemic Covid-19 and product quality variable significantly affect consumer behavior during the pandemic Covid-19. Results of the analysis can be concluded that during pandemic Covid-19, there is increasing access to e-commerce sites and increasing spending in online shopping through e-commerce sites.

Consumers' Attitude towards Online Shopping in Janakpurdham

The paper aims to explore about the use of Internet that changes the way consumers purchase goods and services. The growing number of internet users in Nepal provides a bright prospect for online shopping. Recent research has shown an interest in investigating the factors that affect the attitude of consumers towards online shopping. The study is being carried out to identify and analyze the factors that affect consumers' attitude towards online shopping in Janakpurdham and to examine the factors that motivate consumers to shop online. In this study, quantitative research method has been used. Questionnaire method is used to collect the data. The study has been done by convenient sampling method. The main finding of this study is that among the four factors (convenience, website design/features, time saving and security) selected for this research, the most attractive and influencing factor for online shopping is convenience, followed by time saving the second and thirdly security. Results have also showed that the website design/features are also important for online shopping. The findings also indicate that time saving is the most important factor that motivate consumers to shop online, followed by easy to purchase second and thirdly variety at one shop. This study is useful to understand the online shopping behavior of consumers.