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This study aims to qualitatively analyze the impact of order cancellations and customer ratings on the performance, performance, and income of online motorcycle taxi (Gojek) drivers in the Slawi region. The research method used a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation of a number of active drivers. The results show that the high rate of order cancellations, both from customers and the system, negatively impacts driver income stability and reduces work time efficiency. Furthermore, customer ratings play a crucial role in determining driver access to orders, incentives, and account sustainability. Drivers with low ratings tend to experience decreased performance due to limited opportunities to receive orders. On the other hand, the pressure to maintain high ratings also affects drivers' psychological state and work strategies. This study concludes that order cancellations and customer ratings are crucial factors that are interrelated in influencing the work quality and welfare of online motorcycle taxi drivers. Therefore, fairer and more transparent platform policies are needed to maintain a balance between customer satisfaction and driver protection.

The purpose of this scientific study is to examine the influence of review content and customer ratings on the trust of Uniwara Economics Education students in skincare products. The background of this study includes the increasing popularity of local skincare products and the shift in the behavior of young consumers who now rely more on reviews and ratings on various social media platforms such as Instagram and TikTok when deciding to buy. Students, as a critical and digitally native generation, use online information as their main source for building trust in products. This study applies a quantitative method with an associative research design. The sample consists of 51 students from a total population of 105 students, determined through Proportional Stratified Random Sampling. Data for the study were collected using questionnaires and analyzed using multiple linear regression techniques. The results of this study indicate that review content and customer ratings together have a positive and significant effect on student trust. In part, these two variables also significantly affect trust. The contribution of review content and customer ratings is 247% (as indicated by an Adjusted R Square value of 0.247), while the rest is influenced by other variables or factors outside the scope of this study. This research indicates that review content and customer ratings have both a partial and simultaneous effect on the trust of Uniwara Economics students in skincare products.

This study aims to analyze the influence of the number of reviews, online review ratings, and price on the purchasing decisions of Maybelline cosmetic products on the Lazada marketplace, using a case study of consumers in Wringinanom. The rapid development of digital technology has transformed consumer behavior in online shopping, where customer reviews and ratings have become essential considerations before making a purchase. Additionally, price plays a crucial role in influencing final purchase decisions. This research uses a quantitative approach with an explanatory research type. Data were collected through questionnaires distributed to 96 respondents who had purchased Maybelline products on Lazada. The data analysis techniques used include validity and reliability tests, multiple linear regression, t-test, F-test, and the coefficient of determination, processed with SPSS version 25. The results indicate that partially, the number of reviews, online review ratings, and price significantly influence purchasing decisions. Simultaneously, all three variables have a significant impact on purchasing decisions for Maybelline products on the Lazada marketplace. These findings provide important implications for online businesses to pay closer attention to customer reviews and pricing strategies to better influence consumer purchase behavior.

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition

This study examines the influence of online customer reviews and customer satisfaction on repurchase intention for Erigo fashion products sold on Shopee. The research is motivated by the rapid growth of local fashion sales on e-commerce platforms, yet the Erigo brand shows relatively low repurchase intention despite receiving many positive ratings. This gap between consumer expectations and actual experiences highlights the importance of satisfaction in driving loyalty. The study adopts a quantitative approach with descriptive and verificative methods. The population consists of Shopee consumers who have purchased Erigo products, with purposive sampling applied. A total of 362 valid responses were analyzed after outlier removal from 385 initial respondents. Descriptive results indicate that online customer reviews are categorized as very high (4.40), customer satisfaction as high (4.08), and repurchase intention as good (3.95). The findings show that online customer reviews contribute 47.70%, customer satisfaction 57.10%, and both variables jointly 59.60% to repurchase intention. Hypothesis testing confirms significant partial and simultaneous effects of both predictors on repurchase intention.

The rapid development of digital technology has significantly transformed consumer behavior, making online applications the primary channel for interaction and transactions. These applications provide convenience for consumers to access various products and services quickly and efficiently. In this context, the quality of service provided, along with the rating and reviews shared online, plays a crucial role in influencing purchasing decisions. For instance, the Fore Coffee app allows consumers to leave reviews and ratings, which can influence other consumers in selecting the desired products or services. These factors are essential in increasing customers' purchase intention, as consumers tend to rely on the experiences of others as references when making decisions. This study uses a quantitative approach by distributing questionnaires to consumers of the Fore Coffee app in West Surabaya. The study aims to determine the extent to which service quality, ratings, and reviews affect consumers' purchase intentions. The data collected were then processed using SPSS version 20 to conduct validity tests, reliability tests, multiple linear regression, and t-tests. Validity and reliability tests were conducted to ensure that the instruments used in this research accurately and consistently measure the relevant variables. Multiple linear regression was used to analyze the relationship between the independent variables (service quality, ratings, and reviews) and the dependent variable (purchase intention). Meanwhile, t-tests were used to examine the significant impact of each variable on purchase intention. The findings of this study can provide valuable insights for Fore Coffee in formulating more effective marketing strategies. The results indicate that service quality, ratings, and reviews significantly influence consumers' purchase intentions. With this understanding, Fore Coffee can improve the customer experience and strengthen its competitive position in an increasingly competitive market.

This research aims to know and analyze both the partial and simultaneous effects of online customer review and online customer rating on the purchase decision on e-commerce Shopee among students of the business administration program of Nusa Cendana University. The number of samples in this research was 100 respondents, with using the Purposive Sampling technique. The data analysis techniques used are quantitative descriptive analysis, multiple linear regression analysis, and hypothesis testing and analysis of the coefficient of determination (R2) using the SPSS V26 application. From the results of Multiple Linear Regression Analysis, the equation is obtained: Y = 2.301 + 0.302X1 + 0.705X2 + 2.699. The results of both the t test and the F test show that partially online customer review and online customer rating have a positive and significant effect on purchasing decision. Based on the Adjusted R² value, the contribution of the perceived usefulness and trust variables to intention to use is 61,1%, while the remaining 38.9% of purchase decision variables were influenced by other variables not discussed in this study. For this reason, it is suggested that further researchers can examine variables outside of this study that can affect purchasing decisions, as well as not only Shopee e-commerce but also other types of e-commerce.

This study aims to analyze the influence of Online Customer Review and Online Customer Rating on the Loyalty of Gen Z consumers on the Shopee e-commerce platform in Medan City. The research method used is quantitative with a sample size of 55 respondents. Data were analyzed using multiple linear regression with the assistance of SPSS version 26. Validity and reliability tests indicated that the research instruments were valid and reliable. Classical assumption tests, including normality, multicollinearity, and heteroscedasticity, were met. The regression analysis results showed that Online Customer Review and Online Customer Rating have a positive and significant effect on Consumer Loyalty, both partially and simultaneously. The Adjusted R Square value of 0.263 indicates that these two variables explain 26.3% of the variation in consumer loyalty.

The rapid development of technology has led to innovations in various areas, including mobile payments. Mobile payments are one of the innovations in financial technology designed to facilitate online transactions. In Indonesia, there are numerous mobile payment service providers, making competition increasingly fierce. One of the popular e-wallets in Indonesia is ShopeePay, a service created by Shopee. This study aims to analyze the importance and performance levels of various electronic service quality factors and assess user satisfaction with ShopeePay. This research is a survey-based study with a sample of 100 respondents. The analysis was conducted using Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI) to measure the importance and performance of each ShopeePay service quality factor and the satisfaction of its users. The results show that out of 24 ShopeePay service quality factors, 13 were considered important by respondents. The average importance rating was 4.07, while the average performance rating was 3.94. This results in a harmony between importance and performance of 97%. The Customer Satisfaction Index (CSI) for ShopeePay services in the Banten area was 78.77%, placing it in the "satisfying" category. This study has several limitations, including its focus on the Banten area, a limited and homogeneous respondent group, potential bias from online surveys, and not accounting for external factors or long-term changes in user perceptions of ShopeePay.

The existence of online customer ratings, and COD payment services are expected to be able to influence purchasing decisions. The purpose of this study is to determine and analyze the influence of Online customer ratings on purchasing decisions, the influence of the COD Payment Method on purchasing decisions, on the Tokopedia application. The method used in this study is a quantitative method with a sampling technique using purposive sampling by taking respondent data according to the specified criteria, namely having used the Tokopedia application, the research sampling method using the questionnaire data collection method, using multiple regression analysis and hypothesis testing with IBM SPSS version 25.0. The results of the study showed that there was a positive and significant partial influence of online customer ratings (X1) on purchasing decisions (Y), namely 6,000> 1,985 with a significance value of 0.00 <0.05. The COD payment method (X2) partially had a significant effect on purchasing decisions (Y) on the Tokopedia application, namely 3.803> ttable 1.985 and a significance value of 0.00 <0.05. And simultaneous testing also has an influence between Online customer rating and COD payment method on purchasing decisions, namely the F count value of 36.453> F table 3.09 and a significance value of 0.00 <0.05, meaning that the independent variables of online customer rating and COD payment method simultaneously have a significant effect on the dependent variable of Purchasing Decisions.

The purpose of this study is to determine the impact of major discount offers, online customer reviews, and online customer ratings on purchasing decisions during the Shopee twin date event. For important sales initiatives, structural equation modeling was the data analysis method used. The results show that online customer reviews have a positive but not statistically significant impact on purchasing decisions during the Shopee twin date event, even while online customer ratings have a large impact.

This study aims to determine the effect of online customer review variables, online customer ratings, and brand image on purchasing decision variables partially or simultaneously. The method used in this study is a quantitative method with a sampling method, namely non-probability sampling and the technique used is purposive sampling. The sample of this study were consumers of Mie Gacoan Cipondoh with the criteria of being at least 17 years old, having seen reviews and ratings of Mie Gacoan Cipondoh on Google Reviews, having purchased Mie Gacoan at least once in the last 3 months, and having tasted Mie Gacoan Cipondoh products. The questionnaire collected was 105 respondents, the data was then processed using multiple linear regression methods with statistical software tools. Based on the results of the analysis, it is found that online customer reviews have a positive effect on purchasing decisions. Furthermore, online customer rating has a positive effect on purchasing decisions. Then, it is also found that brand image has a positive effect on purchasing decisions. The final finding is that variables of online customer review, online customer rating, and brand image jointly influence purchasing decisions. It can be concluded that online customer reviews, online customer ratings, and brand image have an effect on purchasing decision variables partially or simultaneously.    

Beauty influencers on social media are key in increasing visibility and sales of beauty products, besides that online customer reviews and online customer ratings also influence purchasing decisions. The purpose of this study is to determine whether beauty influencers, online customer reviews, and online customer ratings on purchasing decisions for Npure Face Toner skincare products. The study design applied is quantitative with an associative approach to analyze the relationship between these variables. The participants in this study consisted of 100 respondents who live in East Surabaya. Sampling using non-probability techniques. The results of this study indicate that partially and simultaneously beauty influencers, online customer reviews, and online customer ratings have a positive and significant influence on purchasing decisions for Npure Face Toner skincare products. This study indicates the importance of digital marketing strategies involving beauty influencers and active management of customer reviews and ratings to increase sales of Npure Face Toner skincare products. Recommendations for the company include increased promotional campaigns involving beauty influencers and responsiveness to customer reviews to increase customer satisfaction.

This study aims to analyze the factors that support the increase in online purchasing decisions in the Shopee marketplace. These factors consist of Online Customer Rating, Online Customer Review, Price, and Free Shipping. The population in this study were all Shopee user consumers with an unlimited number. While the sample used was all Shopee user consumers in the Gunungpati area and its surroundings which were calculated using the lemeshow formula and obtained 100 respondents. The results of hypothesis testing state that the four variables (Online Customer Rating, Online Customer Review, Price, and Free Shipping) have an influence on online purchasing decisions in the shopee marketplace both partially and simultaneously. Testing the coefficient of determination produces findings where the variables online customer rating, online customer review, price, free shipping are able to influence online purchasing decisions in the Shopee application by 89.5%. While the remaining 10.5% is influenced by other variables.   Keywords : , , , ,   

The evolution of technology has changed consumer behavior, especially in terms of online shopping in e-commerce, which has resulted in marketplace platform competition increasing significantly.  This study aims to examine the effect of customer ratings and reviews on purchasing decisions on Somethinc skincare products in Prambon sub-district, Sidoarjo Regency. This research adopts quantitative methods. Data were analyzed using SPSS software. The results showed that there was a positive and significant influence between ratings on purchasing decisions, as well as customer reviews also showed a positive and significant influence on purchasing decisions for Somethinc products in e-commerce.

Abstract. Digital transformation has brought about changes in shopping patterns with the advent of online shopping and food ordering. Reviews and ratings have a big impact on consumer preferences, so it is important to pay attention to reviews and ratings in online marketing strategies. This study aims to measure the impact of online consumer reviews and ratings on consumer loyalty to Bangor Burger on ShopeeFood. Through a quantitative approach, the sample was taken using the Non - probability sampling method with a total of 100 respondents. The population studied was consumers who had bought Bangor Burger at ShopeeFood. Data was collected through questionnaires distributed to respondents. Data analysis was carried out using path analysis with IBM SPSS software. The results showed that reviews and ratings have a significant influence on Burger Bangor consumer loyalty at ShopeeFood. Keywords: Online Shopping, ShoppeeFood, Burger Bangor, Consumers, Review, Rating, Consumer Loyalty.   Abstrak. Transformasi digital telah membawa perubahan dalam pola belanja dengan hadirnya belanja online maupun pemesanan makanan. Review dan rating memiliki dampak yang besar pada preferensi konsumen, sehingga penting untuk memperhatikan review dan rating dalam strategi pemasaran online. Penelitian ini bertujuan untuk mengukur dampak review dan rating konsumen secara online terhadap loyalitas konsumen pada Burger Bangor di ShopeeFood. Melalui pendekatan kuantitatif, sampel diambil menggunakan metode Non – probability sampling dengan jumlah responden sebanyak 100 responden. Populasi yang diteliti adalah konsumen yang pernah membeli Burger Bangor di ShopeeFood. Data dikumpulkan melalui kuesioner yang disebarkan kepada responden. Analisis data dilakukan menggunakan path analysis dengan perangkat lunak IBM SPSS. Hasil penelitian menunjukkan bahwa review dan rating memiliki pengaruh signifikan terhadap loyalitas konsumen Burger Bangor di ShopeeFood.  Kata kunci: Belanja Online, ShoppeeFood, Burger Bangor, Konsumen, Review, Rating, Loyalitas Konsumen.

Technological developments have changed consumer behavior from shopping through offline stores to online stores or online shopping. These changes affect consumer purchasing decisions when buying a product. This makes the study of e-commerce an interesting subject of study in today's world. The purpose of this study is to hopefully provide an overview of current online customer behavior and can be used to determine online marketing strategies. The population in this study were 234 people who were students of FISIP UMJ Class of 2020 & 2021. The sampling technique used Simple Random Sampling with a total of 67 samples. The data obtained was then analyzed by multiple linear regression analysis using IBM SPSS.25 software. Based on the results of statistical testing, it shows that the Online Customer Review variable has a tcount value of 10.612> 1.997 and a significant value of 0.000 <0.05 and Online Customer Rating has a tcount value of 6.997> 1.997 and a significant value of 0.000 <0.05 so that Ho is rejected Ha is accepted, it can be concluded that Online Customer Review and Online Customer Rating have a positive and significant influence on Purchasing Decisions. The influence of Online Customer Rating on Purchasing Decisions.

This study aims to determine the influence of online customer reviews, online customer ratings, and live streaming features on the purchase decisions of fashion products on the Shopee marketplace in the Surakarta region. This research was conducted in October 2023. The number of samples in this study was 147 respondents from Shopee users in Surakarta. Sampling is done using the purposive sampling method. The data collection technique used in this study is the quantitative method of distributing questionnaires online through social media. Multiple regression is the analysis method used in this study. The results of this study show that online customer reviews, online customer ratings, and live streaming features partially have a significant positive influence on the purchase decisions of fashion products in Surakarta.

Shopee menjadi salah satu marketplace pilihan masyarakat Indonesia dalam berbelanja online untukmemenuhi kebutuhan esensial sehari-hari, salah-satunya yakni pemenuhan kebutuhan sandang. Fenomena ini menimbulkan terciptanya banyak pelaku bisnis memanfaatkan marketplace Shopee untuk menjual produk fashion dengan memberikan kelebihan dari produk yang ditawarkan. Riset ini bertujuan untuk mendiskripsikan pengaruh OCR & rating terhadap minat beli barang fashion di marketplace Shopee. Jenis penelitian berupa penelitian asosiatif, pengambilan sampel menggunakan metode purposive sampling, dan mendapatkan sampel berjumlah 96 responden.Populasi penelitian yang diambil yakni. Seluruh masyarakat kota bima yang pernah membeli produk fashion. Analisis data yang digunakan adalah analisis regresi linier berganda. Hasil dari penelitian didapatkan variabel online customer review&online customer rating berpengaruh terhadap variabel minat belibaik secara parsial maupun simultan. Koefisien determinasi menunjukkan 2 variabel independen memberikan sumbangan sebesar 26,3%, sedangkan sisanya 73,7% dipengaruhi oleh faktorlain yang tidak diteliti dalam penelitian ini seperti kualitas produk, harga dan variabel-variabel yang tidak diteliti dalam penelitian ini.

This study aims to analyze the influence of online customer reviews and online customer ratings on purchasing decisions on the Lazada marketplace. In this study using a descriptive verification approach with quantitative methods. The sample used in this study was 400 respondents. Sampling using the Nonprobability Sampling method. The test stages used were validity test, reliability test, classic assumption test, multiple linear regression analysis technique and hypothesis testing using t test, f test and coefficient of determination using SPSS 26 tools. The results of this study were obtained by Online Customer Reviews and Online Customers Ratings have a positive and significant partial effect on purchasing decisions on the Lazada marketplace with variable values of 20.8% and 91.0% respectively. While Online Customer Reviews and Online Customer Ratings simultaneously influence purchasing decisions on the Lazada marketplace, they contribute 39.2% to purchasing decisions, while the remaining 60.8% is contributed by other factors not examined that influence purchasing decisions (Y ).