Online Shopping Research Articles

Effectiveness of alcohol warning labels for at-risk groups and the general public: A policy-informing randomized experiment in Chile

ObjectiveThe World Health Organization recommends using health-risk warnings on alcoholic beverages. This study examines the impact of separate or combined warning labels for at-risk groups and the general population on alcohol purchase decisions. MethodsIn 2022, 7758 adults who consumed alcohol or were pregnant/lactating women (54.0 % female, mean age = 40.6 years) were presented with an online store's beverage section and randomly assigned to one of six warning labels in a between-subjects experimental design: no-warning, pregnant/lactating, drinking-driving, general cancer risk, combined warnings, and assorted warnings across bottles. The main outcome, the intention to purchase an alcoholic vs. non-alcoholic beverage, was examined with adjusted risk differences using logistic regressions. ResultsParticipants exposed to the general cancer risk warning decreased their alcoholic choices by 10.4 percentage points (pp.) (95 % CI [−0.139, −0.069], p < 0.001, OR = 0.561), while those in the pregnancy/lactation warning condition did it by 3.8 pp. (95 % CI [−0.071, −0.005], p = 0.025, OR = 0.806). The driving-drinking warning had no significant effect. Participants exposed to the combined warnings label, or the assorted warnings reduced alcohol purchase decisions by 6.1 pp. (95 % CI [−0.095, −0.028], p < 0.001, OR = 0.708) and 4.3 pp. (95 % CI [−0.076, −0.010], p = 0.011, OR = 0.782), respectively. Cancer warning outperformed other labels and was effective for subgroups such as pregnant/lactating women, young adults, and low-income individuals. ConclusionsGeneral cancer risk warnings are more effective at reducing alcohol purchase decisions compared to warning labels for specific groups or labels using multiple warnings. In addition to warning labels, other policies should be considered for addressing well-known alcohol-related risks (e.g., drinking and driving).

Customers’ Satisfaction: Factors Affecting Online Shopping During Covid-19 Pandemic

Shopping is now easier and more accessible than ever in today’s hurried and connected society. This study was conducted to find out the factors influencing customer satisfaction in online shopping during COVID-19. Some barriers have contributed to the unwillingness of Malaysians because they worry others will take their personal information. Two factors were analyzed in this research, which are Information Quality and e-Service Quality, with a sample size of 150 respondents, and a convenience sampling method was used. A set of questionnaires was distributed online through Google Forms by sharing links in WhatsApp and email. Then, the data is analyzed using Statistical Package for Social Science (SPSS). The result showed that Information Quality and e-Service Quality have different relationships with customer satisfaction in online shopping. The limitations of this study are that the variables may not be sufficient, and there should be more variables to be considered in future research that may have a more significant impact. This study contributes to the realization that customer happiness is the most important factor to prioritize to improve a company’s favourable reputation in the marketplace

New Trend in Online Shopping: L-commerce (Live Stream Commerce) and a Model Proposal for Consumer Adoption

The study aims to clarify the L-commerce phenomenon, emerging as a novel model in online shopping, and distinguish the attributes separated from other models. The L-commerce literature was also revisited. Past attempts mainly focused on the intention to purchase in live stream shopping platforms in far eastern provinces. The study also proposes enlightening how consumers can adapt and accept L-commerce in new markets. Accordingly, a conceptual model including technological (perceived ease of use and usefulness), psychological (perceived financial, social, psychological and time risk) and social (telepresence and social presence) components were brought forward based on the Technology Acceptance Model (TAM). It is expected to shed light on theoreticians, L-commerce platform managers and entrepreneurs.

EXPRESS: Online Retailing Operations: Is It Wise to Offer Free Sample Trial and Money-Back-Guarantee Together?

In retail operations, free-sample-trial (FST) and product return with money-back-guarantee (MBG) both serve as important strategies to reduce consumers’ worries and valuation uncertainty. This paper is the first one which analytically examines when and whether an online retailer should provide both strategies simultaneously, and when one strategy outperforms the other. We consider an online retailer selling to consumers who are uncertain about the product values when making purchasing decisions. The retailer decides whether to offer MBG or FST. We develop analytical models to examine four strategies: Strategy NN (both FST and MBG are not provided), strategy NS (FST is provided and MBG is not offered), strategy MN (FST is not provided and MBG is provided) and strategy MS (both FST and MBG are offered). Comparing among these four strategies, we find that when only FST is offered, the retailer surprisingly should decrease the price if the product cost is low. If the retailer only provides MBG, he will charge a higher price compared with the situation when MBG is not provided. When the size of free sample is very small, strategy NS (MS) is the optimal strategy if the product’s cost is low (high). When the size of free sample is large, strategy MN is the optimal strategy. Then, we extend our model to consider three situations, namely: (a) the retailer offers coupons to consumers to experience the free sample, (b) consumer returns incur a cost, and (c) the size of free sample is endogenous. We find the main conclusion remains robust. Our findings may help explain some real-world practices, such as why some retailers (e.g., Amazon and Walmart) provide consumers with low volume toners to decrease the free sample cost; skincare product retailers such as Lancôme, Estee Lauder and Guerlain implement both MBG and FST. We also interestingly show that a bigger size of free sample may not necessarily benefit consumers.

Towards visual sentiment summary to understand customers’ satisfaction

Due to the COVID-19 pandemic, the shopping behavior of customers has been significantly affected and is being shifted towards online shopping. Understanding the customers’ opinions, attitudes, and emotions in feedback and comments plays an essential role in making decisions for organizations and individuals (e.g., companies and customers). In this study, we propose sentiment summaries from the customer knowledgebase (SSoCK) framework that analyses customer feedback and improve a mechanism for sentiment summarization by using text analysis including sentiment analysis. In the experiments, various domains from customer reviews (e.g., computer and Canon) are used to conduct. The results show that the proposed SSoCK framework has the high performance of sentiment classification in terms of its accuracy when compared to the other approaches. Moreover, the proposed framework generates various kinds of sentiment summaries that can support managers/potential customers understand trending/interesting aspects of the product with customer satisfaction and can be easily updated with new reviews within the same domain without storing any original data.

Blooming Business: How Consumer Satisfaction Shapes Online Plant and Cut Flower Spending

Online sales of plants are relatively new compared with other products. An online survey was used to measure online and in-store plant/flower spending from 1290 participants. Participants were satisfied with their online plant/flower purchases and spent $31.86 more on plants/flowers through online retailers than in stores. Participants’ social media use increased their in-store plant/flower spending but not online spending. Using Amazon, Google, and farm-direct online retailers increased both in-store and online plant/flower spending. Demographic characteristics did not influence online or in-store spending, except income which had a positive effect.

STRATEGIES FOR OPTIMIZING THE PERFORMANCE OF MOBILE APPLICATIONS

The performance of mobile applications has a critical impact on the user experience and, as a result, on the rating of the application in online stores, which directly correlates with its commercial success. According to Google, 53 % of users delete an app if it takes more than 3 seconds to download. The primary task of optimizing the performance of mobile applications is to minimize the loading time. The article provides a comprehensive analysis of existing methods and technologies for optimizing the performance of mobile applications based on multidimensional analysis. The experiments suggest the following solution: the integration of asynchronous algorithms and multithreading in order to increase the level of performance by at least an order of magnitude 30 %. The evaluation of algorithms for accelerating the loading and initialization of resources in mobile applications was carried out using the decomposition method, which allows us to identify a correlation between the initialization time and the overall performance of the application. According to the experiments conducted, the integration of asynchronous algorithms and multithreading can increase performance by an order of 30-40 %. The article provides not only a quantitative, but also a qualitative assessment of how effective certain strategies are that can optimize applications, influence their architectural solution and the specifics of the user experience. Empirical data and analytical models are supported by the results, which indicate that the most optimal strategy in this case is an integrated approach, which will optimize from the technical and economic side.

Characterizing the packaging waste generation patterns and carbon emissions of university delivery service

As the main consumer group for online shopping and ordering fast food, young people—particularly university students—have contributed to a substantial amount of packaging waste. In the present study, the material flow method was employed to quantify the generation and end-of-life flows of packaging waste from both the express delivery and food delivery sectors at universities in China. Moreover, this study takes reusable packaging materials for food delivery services as a case study to evaluate their environmental benefits through a simplified life cycle assessment approach. The results show that approximately 1.7 (±0.3) million metric tons and 123 (±1.0) kilo metric tons of packaging waste were generated from express delivery and food delivery services, respectively, for university students in 2021. Although reusable food packaging is more complex and costly than regular disposable food packaging is, our modeling results show that reusable food packaging has significant emission reduction benefits under the current practice of 63 cycles per year of actual operation at a specific university. The reusable packaging mode in universities is feasible from an environmental perspective; however, it faces significant challenges due to a few concerns among stakeholders, such as high costs and inadequate recycling supply systems.

The optimal product-line selling mode in online platforms

The burgeoning success of online retailing has prompted numerous manufacturers to sell their product lines through digital platforms. Despite this trend, the optimal product-line selling mode for both manufacturers and online platforms remains ambiguous. This study aims to address this uncertainty by developing an analytical model. In this model, a manufacturer offers a product line consisting of two quality-differentiated products. Concurrently, an e-tailer (online platform) provides both the first-party and third-party modes, catering to consumers with heterogeneous preferences for product quality. The analysis reveals that when the high-quality product's quality level is sufficiently low, the manufacturer achieves maximum profit by wholesaling the high-quality product with the first-party mode but directly selling the low-quality product via the third-party mode; otherwise, the manufacturer maximizes profit by directly selling both products via the third-party mode. For the e-tailer, when the high-quality product's quality level is moderate, he can gain the highest profit by encouraging the manufacturer to wholesale both products with the first-party mode. However, when the high-quality product's quality level is sufficiently low (high), the e-tailer can obtain the highest profit under the case where the manufacturer sells the high-quality product via the third-party (first-party) mode but distributes the low-quality product with the first-party (third-party) mode. The intuition lies in the competition dynamics and the double marginalization effect under different selling modes.

The association between the coping attitudes and compulsive online buying behaviors of nurses

AimThe aim of this study is to examine the relationship between the coping attitudes and compulsive online buying behaviors of nurses. MethodsThis descriptive and correlational study was conducted with 253 nurses working in a research and training hospital in Istanbul between June and December 2022. Data were collected using a ‘Participant Information Form’, the ‘Coping Attitudes Assessment Scale (R-COPE)’, and the ‘Compulsive Online Shopping Scale (COSS)’. Data were analyzed using descriptive statistics, Pearson's correlation coefficient, and multiple linear regression analysis. A p-value of <0.05 was considered statistically significant. ResultsThe mean R-COPE score of the participants was 87.79 ± 10.40, and their mean COSS score was 26.00 ± 25.03. There was a negative and statistically significant correlation between the total R-COPE scores and the total COSS scores of the participants (p < 0.01). The coping attitudes (β = −0.147) were a significant and negative predictor of compulsive online buying behaviors. Marital status (β = 0.152), frequency of access to the internet (β = 0.273), frequency of online shopping (β = 0.365), and monthly amount of money spent for online shopping (β = 0.123) were significant and positive predictors of compulsive online buying behaviors. These variables collectively explained 33 % (R2 = 0.328, p = 0.000) of the total variance in the compulsive online buying behaviors of the participants. ConclusionNurses had moderate levels of coping attitudes and low levels of compulsive online buying behaviors. Having low levels of coping attitudes, being single, accessing the internet frequently, doing online shopping frequently and spending a high amount of money for online shopping every month predicted the compulsive online buying behaviors.

The Role of Price, Quality, and Brand in Consumer Perception of Durable Goods in Online Shopping: A Study in Chhattisgarh

This research aims to explore the influence of price, quality, and brand on consumer perception of durable goods in online shopping, focusing on the state of Chhattisgarh. The digital marketplace has increasingly become the go-to platform for purchasing durable goods, but understanding the key factors influencing consumer behavior is essential for businesses. Through a mixed-methods approach, this study surveys a diverse population in Chhattisgarh to evaluate how these three variables—price, quality, and brand—shape their online shopping decisions. The findings provide valuable insights for e-commerce platforms, manufacturers, and marketers in tailoring their strategies for the regional market. The paper concludes with actionable recommendations for enhancing consumer satisfaction and loyalty in the online shopping ecosystem.

IMPLEMENTASI PRINSIP ETIKA BISNIS ISLAM DALAM TRANSAKSI JUAL BELI ONLINE SHOP

This study aims to analyze whether Online Shop has applied the principles of Islamic business etchis in online buying and selling transactions and how to apply the principles of Islamic business ethics in online buying and selling transactions. This research method is qualitative that uses the field of literature review. Data collection is done by collecting the source of articles in the form of journals and previous proceedings that are relevant. The results of the study stated that Online Shop had fully implemented the principles of Islamic business etchis in buying and selling, with the principle of unity, the principle of equilibrium, principle free will, the principle of responsibility and the principle benevolence

Critical Issues Digital Natives and E-Market Consumption

The Javanese proverb “yen pasar ilang kumandange” describes real market conditions that have been disrupted by technology, such as the internet. In East Java, internet growth has developed rapidly, so that the number of internet users is increasing every year. The internet has become a basic need and cannot be separated from one’s everyday life. This is because the internet makes everything easy for its users, for instance, online shopping. Before the trend of online shopping, shopping activities were usually carried out in physical markets in the sense of conventional markets, between sellers and buyers making transactions offline, but since the advent of the internet, this culture has shifted to online shopping. This research was designed in an exploratory research scheme with an interpretative qualitative approach. Researchers explore information derived from experience, knowledge, understanding, and views using a type of qualitative research. The study uses a realist ethnographic inductive approach. Realist ethnography is an ethnographic approach that describes the situation and conditions of the culture of the informants. Moreover, two analytical methods were used – the Miles &amp; Hubeman model data analysis method and the data analysis model method from Spradley. Based on the data obtained, five themes were found from the motives behind making purchases on the marketplace. These themes include the vast variety of goods that are sold online, effective and efficient use of time, more affordable prices, there is a review feature, and services provided by the marketplace. Besides, the purchase motives made by students can be classified into two – Utilitarian motives and Hedonism motives. Keywords: digital natives, consumption product, existence marketplace

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.

ANALISIS WEBSITE QUALITY, TRUST DAN LOYALTY PELANGGAN ONLINE SHOP (STUDI KASUS MAHASISWA FAKULTAS EKONOMI DAN BISNIS TAHUN 2020)

This research is titled "Analysis of Website Quality, Trust, and Customer Loyalty in Online Shops (case study of students of the Faculty of Economics and Business in 2020)." The purpose of this research is to determine the influence of Website Quality and Trust on Customer Loyalty (case study of students of the Faculty of Economics and Business in 2020). This study uses a quantitative data analysis research method. The population in this study consists of 139 students from the Faculty of Economics and Business in 2020. Data collection techniques involve interviews and observations. Based on the research results, multiple linear regression obtained the regression equation Y = 0.856 + 0.212X1 + 0.263X2, and the magnitude of the influence is evident from the coefficient of determination or R Square (R2) = 0.690, which is 69%, while the remaining 31% is influenced by other variables outside the study. Furthermore, Website Quality and Trust partially have a significant effect on Customer Loyalty with the probability values (sig) of each variable, namely Website Quality (X1) with probability (sig) 0.000 &lt; alpha 0.05, having a t-value &gt; t table for Website Quality (X1) (11.780 &gt; 1.655), and the variable Trust (X2) with probability (sig) 0.001 &lt; alpha 0.05, having a t-value &gt; t table (10.691 &gt; 1.655). Additionally, Website Quality and Trust simultaneously have a significant effect on Customer Loyalty with a probability (sig) of 0.001 &lt; alpha 0.05, having an F-value &gt; F table (151.029 &gt; 3.68). Keywords: Website Quality, Trust, Customer Loyalty

Vulnerability of Gen-Z to E-Commerce Deception on Consumer's Belief Categories in Online Product Recommendations Systems

Purpose: Despite the convenience of the Online Product Recommendation (OPR) system, concerns persist regarding deception practices in online shopping, especially among consumers from the Generation Z demographic cohort, for which less attention has been given in the previous literature. Methodology/Approach: The impact of independent variables, namely Perceived Usefulness, Perceived Enjoyment, and Perceived Risk, on Susceptibility to e-commerce fraud among Gen Z consumers has been studied. By conducting a mall intercept survey in four major metropolitan cities in India with a usable sample of 488 responses, the study empirically tested the data using SmartPLS 4.0. Findings: The study concludes that Perceived Usefulness and Enjoyment positively influence continuous usage intention, while Perceived Deception and Perceived Risk are negatively connected with continuous usage intention. It depicts that the Gen Z consumer's belief categories formed during their early years as digital natives sharpen their alertness to deception practices. Research Limitation/Implication: The study may not be generalised to represent Gen Z consumers as it collected data only from those who visited malls in the metropolitan cities of India. Originality/Value of paper: This paper exclusively investigates the interrelation of belief categories to continuous usage intention. Further, the intersection of perceived Deception is proved in light of the E-commerce practices.

Design &amp; Development of smart scrap management system for a manufacturing organisation

Scrap management is handled through manual processes in many manufacturing organizationsleading to poor efficiencies. This paper discusses design, development, and deployment of a suitable scrap management system leveraging Industry 4.0 in a lean manner with traceability using ANPR technologyand digital weighbridge setup aided by logistics trucks, digital handshake, and virtual stores in SAP. The complete processes are digitally photographed leaving behind a digital thread for future forensics

Perspective of Islamic Economics: Consumptive Behavior of Online Shopping and The Paylater System

Perspective of Islamic Economics: Consumptive Behavior of Online Shopping and The Paylater System

Shopee E-Commerce Purchase Decisions Viewed from Hedonist Motivation, Utilitarian, Sales Promotion, and Consumer Interest: A Conceptual Model

One of the most promising forms of online sales today is e-commerce. The convenience of online shopping makes it easier for the buyers to spend more and at the same time compare the prices and quality of goods, without having to step out. The existence of motivation has a great influence in determining the decisions that need to be made. To increase the revenue of an e-commerce business, promotions are the most important thing to attract consumers. The next step involves the consumer’s decision whether to buy the product or not. This researcher constructed the conceptual Hedonic Information System Acceptance Model (HISAM) to identify the utilitarian and hedonic motives that influence consumer purchasing decisions. To find out how hedonism and utilitarian behavior influence online sales partners in the home care industry to conduct targeted promotions to attract customers. Consumer concerns when shopping on the Shopee marketplace. The researchers studied a sample size of 100 people from Master of Management students at Sebelas Maret University in Surakarta using multiple linear regression analysis. Keywords: Hedonist motivation, utilitarian, sales promotion, consumer interest, Shopee e-Commerce, purchase decisions

Sourcing Channel Decision in the Presence of Platform Encroachment with Quantity Competition

The decision of sourcing channels is a critical strategy for online retail platforms (ORs) when they encroach into the product market of the third-party retailers (3PRs). Whether the products of the OR are provided by the common supplier or the one different from that of the 3PR leads to different supply chain structures. This paper focuses on the sourcing channel decision of an encroaching OR given the sourcing channel of a 3PR. The OR may source either from the common supplier, i.e., the same supplier as that of the 3PR, or from a different supplier, i.e., one different from that of the 3PR. This paper develops two game-theoretical models to examine the sourcing channel decision of an OR in quantity competition with a 3PR on the platform. The results show that the OR’s preference for the sourcing channel is significantly affected by the production cost, product substitutability and commission rate. By comparing the performances of the OR under these two sourcing channels, we find that when the production cost of the different supplier is very low, or when the product substitutability of the different supplier is low, or when the commission rate is either very low or very high, the OR prefers to source from the different supplier. Otherwise, the OR tends to source from the common supplier. We also find that the OR’s encroachment into the sales market of a 3PR by sourcing from the common supplier will always hurt the 3PR, but the platform encroachment by sourcing from the different supplier will not necessarily hurt, especially when the supplier selected by the OR has a significant disadvantage in production cost compared to those of the 3PR. Furthermore, when the OR encroaches by sourcing from the common supplier, it becomes the largest retailer in the market; otherwise, the 3PR is the largest retailer in that market. Our results also indicate that platform encroachment by different sourcing can not only expand the sales market, but also weaken the negative effects of platform encroachment on the profit of the 3PR.