Search

This article provides an in-depth analysis of the price dynamics and market prospects of Ethereum, the second-largest cryptocurrency by market capitalization. As blockchain technology and cryptocurrencies increasingly integrate into global financial systems, understanding the factors influencing Ethereum’s price becomes crucial for investors, developers, and researchers. The study uses daily price and volume data from an extensive dataset spanning from 2016 to 2023, focusing on the year 2022 to analyze trends and relationships between Ethereum’s price, market volume, and time. Employing correlation and regression analyses, the study aims to identify key patterns, with a focus on understanding how these variables interact within the volatile cryptocurrency market. The methodology centres on refining the data to ensure accuracy and integrity, including the removal of outliers and verification of variable distributions. Correlation analysis was conducted to explore the relationships between price, volume, and time. Regression analysis further assessed the impact of volume and temporal factors on Ethereum's price, using heteroskedasticity-consistent standard errors to address market volatility. The model's robustness was validated through statistical significance tests, and visualizations were used to present data trends and relationships effectively. The findings reveal that Ethereum experienced substantial volatility in 2022, characterized by a general downward price trend. The study identified a weak inverse correlation between price and trading volume, suggesting that periods of higher trading activity often coincide with lower prices, possibly reflecting market corrections or sell-offs. The regression analysis indicated that time is a significant factor in Ethereum’s price dynamics, with a strong positive correlation between the observation order and price, highlighting a clear downward trend over the year. The model demonstrated a high explanatory power, with an Adjusted R-squared of 83.94%, indicating that the selected variables effectively capture the variance in price. The discussion places these findings within the broader context of market developments, including technological shifts like Ethereum 2.0, regulatory changes, and macroeconomic factors that shaped the price movements. The inverse relationship between volume and price underscores the impact of trading behaviour on market sentiment, while the downward temporal trend aligns with the overall market downturn seen in 2022. Despite short-term negative trends, the analysis underscores Ethereum’s long-term potential, given its leading role in decentralized finance, non-fungible tokens, and blockchain innovation. This research remains highly relevant as it addresses the interplay of technical, market, and macroeconomic factors in shaping Ethereum’s price and market prospects, providing a framework for understanding its future trajectory within the evolving cryptocurrency landscape.

Purpose. The purpose of our article is to research and forecast prices for agricultural products using the example of potato prices based on the most effective models using data science techniques. Methodology / approach. Various forecasting models are explored, starting from baseline models like decomposition and exponential smoothing models to more advanced techniques such as ARIMA, SARIMA, as well as deep learning models including neural network. The data is split into training and testing sets, and models are validated using cross-validation techniques and optimised through hyperparameter tuning. Model performance is evaluated using metrics such as MAE, MSE, RMSE, and MAPE. The selected model is then used to generate future price forecasts, with uncertainty quantified through confidence intervals. Results. The study successfully applied advanced data science techniques to forecast potato prices, leveraging a range of effective models. By analysing historical price data and using various forecasting methods, the research identified the most accurate models for predicting future price trends. The results demonstrate that the selected models can provide reliable forecasts. In particular, the results showed that the model could achieve good forecast results when applied to real problems and, thus, can be effectively used for forecasting tasks especially considering seasonality. In addition, it should be noted that the model has a higher prediction accuracy at the time intervals closest to the original data. The obtained results support using both models simultaneously for forecasting, which can compensate for the shortcomings of each of them. The models can be used separately, to more accurately predict the values for the required period, or a combination of them is also possible. Originality / scientific novelty. The study’s originality lies in development of methods for effectively accounting for seasonality in agricultural price data, such as using seasonal decomposition techniques or more advanced techniques that combine statistical and data science approaches. The novelty implies the implementation of real-time data processing and forecasting system allows for the timely prediction of price changes, enabling stakeholders to make more informed decisions. Practical value / implications. Forecasting potato prices holds significant practical value for various stakeholders. For farmers, accurate forecasts enable informed decisions on the optimal times to plant, harvest, and sell their crops, thereby optimising their profits. In the supply chain, distributors and retailers can use these forecasts to manage inventory more effectively and plan contracts, reducing waste and avoiding shortages. Policymakers benefit from forecasts by anticipating market fluctuations and stabilising prices, which supports both consumers and producers. For consumers, stable pricing ensures better budgeting and helps avoid sudden price spikes, making essential foods more affordable. Overall, accurate price forecasting enhances market efficiency by reducing uncertainty and aiding investors in managing risk.

In a highly competitive Azerbaijani coffee shop market, knowing what drives consumer behaviour is crucial for marketers and businesses looking to separate out from the competition and encourage customer loyalty. The article examines the effects of brand image, product quality and price on consumer purchase intention. The study is based on marketing theory, consumer behavior theory and the concept of customer-centric marketing. The methods of logical-structural, quantitative, factor and regression analysis are used. Within the scope of the research, the data were collected through an online questionnaire. The data set of the study is represented by data from an online survey of 298 customers of coffee shops in the city of Baku, collected in the period April-May 2023. According to the findings of the study, brand image, product quality and price, which are independent variables, have a significant and positive effect on the dependent variable, the purchase intention. The results contribute to the understanding that businesses need to focus on building a strong brand image in order to increase consumer purchase intention. By gaining a deeper comprehension of the factors influencing the purchasing decisions of customers, businesses can create more effective marketing campaigns, increase their market share, develop a solid market position and build consumer loyalty in an increasingly competitive environment. The study adds to the ongoing discussion about customer-centric marketing by throwing new insight on the elements that influence consumer behaviour.

Increased competition in the craft industry and reduced activity in the surrounding community have caused a significant decline in the number of MSMEs, which is indicated by internal and external factors. Rajapolah crafts are increasingly popular with consumers because they prefer modern products compared to crafts made in Rajapolah. Wicker is considered old-fashioned and out of date, especially by the millennial generation. This research aims to analyze how price and product quality influence consumer buying interest in Rajapolah craft products. This research can be expanded as quantitative research with a sample size of 100 respondents. Based on the results that have been carried out, price and product quality have a significant effect on buying interest in Rajapolah handicraft MSME products. It can be concluded that producers, in increasing purchasing interest, need to look at the price and quality aspects of their products.

Understanding the factors influencing professionals' commitment to suppliers when acquiring pesticide products is crucial in urban pest management. The study assesses how price, quality, trade credit, and supplier relationships impact commitment to purchasing pesticides. Employing partial least squares structural equation modelling, the study's findings indicate that when urban pest management professionals decide on pesticide purchases, their decisions are notably influenced by product price, the availability of trade credit, and product quality. Surprisingly, a positive relationship with suppliers does not influence their commitment to purchasing pesticides. This study discusses the variations and offers implications for managers in the Philippines.

This study examines the repurchase intention of imported vegetables in Batam City by analyzing consumer satisfaction, price, and quality as factors influencing repurchase intentions. Path analysis with SmartPLS was used to test the hypothesis. The sample used in this study was 199 respondents. The results showed a positive relationship between customer satisfaction and repurchase intention, there was no relationship between price and repurchase intention and showed that quality was positively related to repurchase intention. The results also show that there is a significant influence between quality on repurchase intentions through customer satisfaction. However, customer satisfaction failed to mediate the relationship between price and repurchase intention.

We explored the early impact of changes to the UK alcohol tax system, implemented in August 2023, on the strength and price of alcoholic products available for sale on the website of the largest supermarket in England. Our comparative descriptive study using longitudinal brand-level data was not preregistered and should be considered exploratory. Data were collected weekly (May to October 2023) using automated web scraping tools. Outcomes were product strength (% alcohol by volume [ABV]) and price (per 10 mL of pure alcohol and per litre of product). We undertook paired t -tests, two-sample Kolmogorov–Smirnov tests, and quantile regression to compare outcomes before and after the tax changes. Beer, cider, spirits, and ready-to-drinks (RTDs) were analysed separately. There was a reduction in the mean strength of beer, driven by manufacturers reformulating a small number of weaker beers, moving them into a lower tax band (<3.5%ABV). The mean price per 10 mL of alcohol and per litre of product was significantly higher after the new tax system for beer, cider, and spirits and significantly lower for RTDs. Increases in the price of beer tended to occur across the entire distribution, whereas increases in the price of cider occurred among more expensive products. Changes to product strength tended to occur among weaker products near the new lowest tax band, suggesting tax bands may be a potential stimulus for change. Reformulation of stronger products would have better public health potential. Longer term monitoring, including data on purchasing/consumption, is required. [ABSTRACT FROM AUTHOR]

This research aims to analyze the effect of price and product quality on purchasing decisions and its impact on brand image as an intervening variable among consumers who buy Urea Nitrea fertilizer. The population in this study consists of consumers who have purchased Urea Nitrea fertilizer at the agricultural store CV. Tani Anda Mandiri, with a sample of 100 farmers. The sampling technique used is purposive sampling, and the data analysis method employed is path analysis with the Sobel test using the SPSS 29 data processing application. The research results show that price has a direct and significant influence on purchasing decisions, product quality has a direct and significant influence on purchasing decisions, price has a direct and significant influence on brand image, product quality has a direct and significant influence on brand image, brand image has a direct and significant influence on purchasing decisions, price has an indirect and significant influence on purchasing decisions through brand image, and product quality has an indirect and significant influence on purchasing decisions through brand image. Keywords: Price; Product Quality; Purchasing Decision; Brand Image

Abstract This research investigates the impact of price, promotion, and trust on consumer purchasing decisions for Mr. Frozen Food through the Shopee platform. Applying a quantitative approach with a sample of 100 respondents, the study reveals that both price and trust significantly and positively influence purchasing decisions, while promotion has a significant negative effect. The regression analysis shows that all three variables collectively influence purchasing decisions, with an adjusted R square of 98.8%. These results highlight that competitive pricing and consumer trust are key drivers of purchasing behavior, whereas promotional strategies may require reassessment. The study offers valuable insights for shaping marketing strategies within the e-commerce sector. Abstrak Studi ini meneliti dampak harga, promosi, dan kepercayaan terhadap keputusan pembelian konsumen Mr. Frozen Food di platform Shopee. Dengan pendekatan kuantitatif yang melibatkan 100 partisipan, penelitian ini menemukan bahwa harga dan kepercayaan konsumen memiliki pengaruh positif signifikan terhadap keputusan pembelian, sementara promosi berdampak negatif signifikan. Hasil analisis regresi menunjukkan bahwa ketiga variabel tersebut secara simultan memengaruhi keputusan pembelian, dengan nilai adjusted R square sebesar 98,8%. Temuan ini menegaskan pentingnya harga yang kompetitif dan kepercayaan dalam meningkatkan keputusan pembelian konsumen, sementara efektivitas promosi memerlukan evaluasi lebih lanjut. Penelitian ini memberikan kontribusi bagi pengembangan strategi pemasaran di industri e-commerce.

Bitcoin and Ethereum are the two largest cryptocurrencies in the world by market capitalization and trading volume and the most popular despite high price fluctuations. This paper analyzes the relationship between Bitcoin and Ethereum metrics and the internet search interest on cryptocurrencies. As the literature shows, Google searches signal investor attention and Google Trends has proven useful for nowcasting economic and financial indicators. We aim to find the impact of Google Trends on Bitcoin and Ethereum prices, trading volumes and market capitalization since 2015 and discuss the potential correlations and patterns that may exist between these metrics and Google search interest. Through correlation and time-series analysis, we provide insights into the dynamics of this relationship and its implications for understanding cryptocurrency market behavior. The interest in cryptocurrencies tracked by Google Trends is a good indicator of measuring the social interest in the cryptocurrency market that drives a price movement. On the other hand, the price fluctuations of Bitcoin and Ethereum generate media and social attention and increase the interest in these cryptocurrencies. We also observe a positive effect of Google Trends values on trading volumes. The findings could help investors to understand the cryptocurrencies dynamics and build their trading strategies and could be of special interest to policymakers.

Repeat purchases are an important element in marketing because they increase revenue. For commercial training institute, revenue is also important. Studies have shown that price of an initial purchase relates to repeat purchases; however, the strength of this relationship may depend on several variables. This study aims to determine whether satisfaction and service quality can moderate the relationship between price and repeat purchases specifically in a training industry. We analyzed 90 courses offered by a training institute. Using the partial least squares statistical technique, we find that the price of training predicts repeat purchases. The relationship between price and repeat purchases strengthens as satisfaction improves but not service quality. However, both satisfaction and service quality had a positive effect on repeat purchases. Therefore, in addition to the fee to attend training, training institutes need to improve participants’ satisfaction and service quality, thus improving the firm’s repeat purchase.

This study explores the impact of price, digital marketing, and service quality on consumer Purchase Intention at Perumda Bidadari MSME Gallery. The population involved all visitors with a sample of 100 respondents selected through the non-probability sampling method, using accidental sampling. Data collection using questionnaires. This research applies a quantitative approach to evaluate the relationship between variables. The research instrument was tested with validity and reliability. Statistical analysis uses t-test, f-test, normality test, multicollinearity, and linearity test. Data analysis using multiple linear regression. The results showed that service quality has a positive and significant impact on Purchase Intention, while the effect of price and digital marketing strategy is not significant. With an R Square value of 0.814, it shows that about 81.4% of the variation in Purchase Intention can be explained by the combination of price, digital marketing, and service quality factors. Keywords: Price; Digital Marketing; Service Quality; Purchase Intention

Abstract This study examines and analyses the role of family factors on prices and brands on student decisions to choose private universities to continue their studies. This study involved 500 students from various private universities in Jambi Province to serve as samples. The results showed that in the first model, price and brand influenced the decision to choose private universities (PTS) in Jambi province, and the magnitude of the effect was 63.9%. Price, Brand and Family in the second model significantly affect the Selection Decision of Private Universities (PTS) in Jambi Province, with the magnitude of the influence being 75.5%. In the third model, the family plays a role or can moderate the impact of price and brand on choosing private universities (PTS) in Jambi Province. Keywords:Lecture Decisions; Family; Price; Brand; Private College

Measuring customer satisfaction is an efficient method for evaluating organisational performance of firms, especially in today’s competitive environment. In the Algerian context, where the industry is developing rapidly and the customer satisfaction and its antecedents have an importance for the most of the Algerian companies, it becomes crucial to explore the factors influencing customer satisfaction in the industrial sector. Therefore, the main objective of this study is to develop a specific model for a customer satisfaction index in the Algerian industrial environment. The inexistence of this type of models in the Algerian context has provided difficulties to companies in detecting what affects the satisfaction of their customers; this research can help them to find out what are the factors that impact on the customer satisfaction and improve it. To achieve this, we have examined previous studies conducted in other countries to identify the antecedents of customer satisfaction. The research methodology employed in this study follows a quantitative approach. We conducted a questionnaire survey among a sample of 203 customers of the BCR brand, which specialises in faucet production. The questionnaire was designed to measure various factors, including corporate image, customer expectations, perceived quality, perceived value, price, and handling of complaints. The collected data was analysed using SPSS software, and the model will be constructed using Smart-PLS software. The findings of the study confirmed that three variables significantly impact customer satisfaction in the studied context: perceived value, price, and perceived quality, specifically focusing on the sustainability dimension. Based on these results, we have developed a customer satisfaction index model, specifically focusing on the antecedents’ part, which incorporates these three variables.

E-hailing is a transportation service that allows passengers to book a ride through a digital platform or mobile application instead of hailing a taxi or car on the street. The services connect passengers with drivers of private vehicles, often through a network of independent contractors. Key companies providing e-hailing services around the world include Grab, Uber, Maxim and others. Many says that e-hailing has disrupted the traditional taxi industry by offering more convenience, pricing transparency, and even offer a higher level of service through driver and vehicle ratings. These services have become an integral part of modern urban transportation, providing an alternative to traditional taxis and public transportation. Providers of e-hailing work hard to keep customers satisfied and loyal to their platforms through a combination of strategies and features designed to enhance the overall customer satisfaction. This study aims to investigate the roles of accessibility, safety, comfortability and price on customers’ satisfaction on e-hailing services, and proposes some suggestions to improve the services. This research espoused a quantitative research methodology by using a survey approach. Data was collected from 108 retail management students of the Faculty of Business and Management, Puncak Alam Campus, Selangor Malaysia. The data were analysed using the Statistical Package of Social Sciences (SPSS). The analyses carried out inclusive of descriptive analysis and cross tabulation analysis. The results show the four variables have roles on students’ satisfaction. This study also determines to provide several solution factors about some e-hailing issues faced by the students. This finding will provide the solutions on how e-hailing needs to improve their services to satisfy students in UiTM Puncak Alam Campus, Selangor Malaysia.

Despite the recognised benefits of IT, we still know very little about how the perceived utilisation of IT-enabled information by suppliers is linked to customer satisfaction in B2B markets.

The rapid growth of the creative economy has garnered significant attention from the government. The Kelom Geulis industry evolved its designs, incorporating airbrush and batik elements. Despite achieving recognition nationally and internationally, artisans struggled to diversify their designs, sustain innovation, adapt to changing consumer preferences, and standardize pricing. This research investigates the influence of creativity and innovation on competitive advantage through price within the Kelom Geulis Creative Industry in Gobras Village, Tasikmalaya City. An explanatory research approach was employed to elucidate causal relationships among variables through hypothesis testing. The study used Structural Equation Modeling (SEM) and Partial Least Squares (PLS) analysis to analyze the data. Data was collected from a purposive sample of 200 customers who purchased Kelom Geulis products. The findings demonstrate that creativity (t = 3.071, p = 0.002) significantly influences competitive advantage. Similarly, innovation (t = 8.177, p = 0.000) significantly affects competitive advantage. Additionally, price (t = 4.268, p = 0.000) plays a substantial role in shaping competitive advantage. Indirectly, creativity significantly influences competitive advantage through price (t = 2.299, p = 0.022), while innovation also significantly influences competitive advantage and Price as a mediating variable (t = 3.403, p = 0.000).

Product prices, outlet locations, and discounts are several important factors in influencing consumer repurchase intentions. Reasonable and affordable prices can encourage consumers to buy products again. Strategic and easily accessible sales locations can also increase consumer interest in repurchasing a product. The discount at a lower price will broaden consumer interest to make repeat purchases. This study aims to describe and test how much influence partially and simultaneously the price, outlet location, and discount variables have on repurchasing interest for popcorn snacks in the city of Rantauprapat. This type of research is quantitative descriptive research with 100 respondents. The results of the research show that partially the price, outlet location, and environment variables have a positive and significant effect on the intention to repurchase popcorn snacks. The location of popcorn sales outlets that are easy to reach and easy to find is the most dominant reason for a consumer to make a repeat purchase, then the price is competitive according to taste and followed by a discount for purchasing a certain amount. Simultaneously it also shows that price, location, and discount have a positive and significant effect on the intention to repurchase popcorn in the city of Rantauprapat.

Each company innovates its product as a result of developing food varieties that produce similar goods. This study aims to determine the effect of price, taste, and brand image on purchasing decisions for Mie Sedaap Ayam Bakar Limau located in Sidokerto Village, Sidoarjo Regency. This exploration uses quantitative techniques. information collection technique using a Simple Random Sampling Technique. the sample in this study amounted to 100 respondents. Collecting data used in this study using a questionnaire with a Likert scale. The data analysis used is the classical assumption test and multiple linear regression analysis. Hypothesis testing uses the F, t, and R2 tests. The results of this study indicate that simultaneously price, taste, and brand image have a positive and significant effect on purchasing decisions. Fcount is 160.249 > Ftable 2.699 and a significance value of 0.000b

This study aims to determine the factors that influence Gen-Z Muslim consumer interest in making food purchases on the online food service delivery system application which is divided into three variables, namely product quality, price, and halal awareness. This study uses quantitative methods, and data collection techniques by distributing questionnaires and sample number in this study was 100 students at the State Islamic University of North Sumatra using purposive sampling techniques. The data were analyzed using multiple linear regression methods. The results of the study indicate that product quality and price have a significant effect on purchase intention, and halal awareness has no significant effect on purchase intention, and the results of the simultaneous test hypothesis show that product quality, price, and halal awareness simultaneously affect purchase intention. Keywords : Product Quality ; Price ; Halal Awaraness ; Purchase Intention

A comprehensive comprehension of the various factors influencing consumer purchasing decisions is crucial for success in the highly competitive business environment. The findings of this study examine the significant role that price and discounts (rebates) play in consumer decision-making. The study's findings emphasize the considerable influence of price on consumers' decision-making regarding product selection. Consumers tend to seek out more affordable alternative options when there is an increase in the price of a product. Nevertheless, in the event of a compelling discount, consumers tend to transition and opt for the alternative product swiftly. Furthermore, this study demonstrates that individuals' financial capabilities impact their decision-making process when it comes to selecting products. Consumers exhibiting elevated financial capacities are inclined to prioritize personal preferences when making product selections rather than solely focusing on price considerations. This observation indicates that individuals with greater purchasing power are afforded a more comprehensive range of options when selecting products. However, it is imperative to exercise caution as price similarity assumes a significant role in consumers' decision-making process. Consumers tend to favor products that align with the price they have paid. Nevertheless, the analysis findings suggest the necessity for additional research to gain a more comprehensive understanding of this correlation. In addition, the discounts provided by companies also impact consumers' perceptions of prices and their financial capacities. Discounts can significantly impact consumers' perceptions of product prices, enabling them to select items previously perceived as unaffordable. This study offers significant insights into the impact of price, discounts, and financial capabilities on consumer purchasing preferences. The findings of this study establish a robust basis for corporations to develop enhanced marketing strategies, considering the significant influence these variables exert on consumer decision-making processes. Enhanced comprehension of consumer behavior enables companies to attain heightened levels of success within a fiercely competitive market

Marketing strategy is a way to gain competitive advantage for companies that produce goods or services. The importance of analyzing the value of the level of customer satisfaction with the company's marketing mix to determine the characteristics of consumers, the level of importance and performance of the company's marketing mix and the level of customer satisfaction. With this research, it is hoped that the company can improve and develop its marketing strategy and provide recommendations to improve the performance of the marketing mix (9P). This research uses a descriptive quantitative approach and was conducted in December 2021-February 2022. The research method used is Importance Performance Index and Customer Satisfaction Index. The research respondents were 90 people using purposive sampling method and processed using SPSS 26 and Microsoft Excel. Based on the results of the Importance Performance Analysis, the overall results have an average value of the indicator suitability level at the Nako Slipi Coffee Shop of 91.37 %. This value is included in the good category. However, the indicator performance level has not reached 100% so that the store needs to improve the performance indicators of the marketing mix attributes which are still unsatisfactory, especially on the promotional media indicator (X4.2). Based on the results of the analysis using the Customer Satisfaction Index, the general level of customer satisfaction is 87.20 % and is included in the very satisfied category. This explains that most consumers are very satisfied with the performance of the marketing mix attributes (9P) carried out by the Nako Slipi Coffee Shop in general.

This research aimed to identify the effects of customer satisfaction role as mediation of price and service quality to the brand switching on customers of Balqis Spa in Kediri. The research design was explanatory research. The total sample was about 130 respondents through the non-probability sampling method. The method of data collection was a questionnaire. In contrast, the data analysis methods in this research were descriptive analysis and inferential analysis through Partial Least Square (PLS) by exerting the Smart PLS 3.0 version, which aimed to examine the effects simultaneously and the partial effects among variables. The research findings show that the price directly affects the service quality and could directly and significantly affect brand switching. Customer satisfaction could fully mediate the relationship between price and brand switching. Moreover, customer satisfaction could partially mediate between the quality and brand switching for customers of Balqis Spa in Kediri. The future researcher can consider other variables outside the object in this study to increase the accuracy of the model that will be formed.

Customer satisfaction is an important factor in the success of an institution or company. It causes the firm to strive to provide the best service to its customers to create customer satisfaction. Customer satisfaction can be determined by the customer's perception and experience of the performance of using a product or service that can meet his expectations. Customer satisfaction will be achieved after the customer uses a product or service. The customer's wants and needs can be fulfilled and exceed his expectations. Five main things influence customer satisfaction: product quality, service quality, price, emotional factors, and the ease of obtaining the product or service. This study aims to analyze the effect of service quality, product quality, and price on customer satisfaction with brand trust as a mediating variable in information technology companies. The data in this study were processed using the Smart-PLS version 3 application. This study used a saturated sample of 450 respondents who worked for information technology company partners. Respondents filled out questionnaires using Google Forms. The results partially showed that service quality, product quality, price, and brand trust had significant and positive effects on customer satisfaction, while for the mediating effect, this study found that brand trust was able to mediate the effect of product quality on customer satisfaction but had not been able to mediate the effect between service quality on satisfaction customers and price on customer satisfaction. This research implies that information technology consumers do not buy services or products based on brand trust but on the services or products offered. Further research is needed to strengthen or weaken this phenomenon.

Quality service plays an important role in shaping customer satisfaction, but it is also closely related to creating profits for the company. The purpose of the study is whether service quality affects customer satisfaction, whether price affects customer satisfaction and whether service quality and price affect customer satisfaction. The analysis method used is descriptive analysis and multiple linear regression. This research was conducted in relation to the context (implementation of service quality, price and customer satisfaction). In addition, the theoretical gap (detailed perspective on each dimension) left by previous research. The results showed that service quality and price affect customer satisfaction at Café Gartenhutte Trawas. Quality and price show a multiple correlation 0.809 which shows a strong relationship between the independent variable and the dependent variable. This research has implications for businesses that should use their websites to convey information and offer the best customer service to increase perceived value.

In the world of business competition, entrepreneurs are demanded to be able to respond and act quickly to face increasingly fierce business competition within the scope of one location. Entrepreneurs are expected to be able to compete healthily and competitively to create the most exciting innovations to maintain their loyalty. Each entrepreneur will make every effort to influence the buyer's decision by consumers so that they are interested in the products they market. This explanatory research uses primary data collected from respondents to be processed through SPSS, data and statistical application. In this study, the objects are the relationship between price, product design, location, store atmosphere, and consumer decisions. The subject of this research is a Culinary Cafe located in Malang City. The sampling technique used is purposive sampling, and the sample obtained is 100 respondents. The data analysis used is descriptive statistics, and multiple regression is used to test the hypothesis in this study. The results show that the variables of price, product design, and location significantly affect purchase decisions, while store atmosphere has no significant effect on purchase decisions. And from the simultaneous test results, the four independent variables together affect purchase decisions at Culinary Cafes in Malang City. Companies can use the implications of this research to make decisions to attract consumers to make purchases.

The background to this research is that there is a phenomenon that the variable service quality at Holland Bakery Lembang is not good enough. Apart from that, the influence of price is a supporting factor in determining purchasing decisions at Holland Bakery. This study aims to understand the influence received from price and service quality on purchasing decisions at Holland Bakery Lembang, West Bandung Regency. both partially and as a whole. This study was conducted using quantitative research methods with descriptive and associative approaches. The research results stated that the influence of price on purchasing decisions was partially shown at 7.4%. influence of service quality on partial purchasing decisions shown by 64.2%. coefficient of determination R square of 0.716. With this coefficient value, it can be concluded that the independent variables in this study, namely price and service quality, have an influence of 71.6% on purchasing decisions and the remaining 28.4% is influenced by other factors not included in this study.

Background In the face of rising obesity levels, Ireland introduced a sugar sweetened beverage tax (SSBT) in 2018, the scope of which was extended in 2019. To date, there is a dearth of research on the actual impact of the SSBT on the pricing. Method This study involved an examination of the relative cost of leading brand full-sugar and sugar-free carbonated soft drinks in a convenience sample of 14 different Irish supermarkets. In light of manufacturers' reformulation of certain brands (7UP, Sprite and Fanta), information was collected on the relative in-store pricing of three brands (Coca Cola, Pepsi and Club). Results In-store comparisons of equivalent size and unit number indicate that, in ~60% of cases, the full-sugar and sugar-free versions of the same drink are being offered at the same price. Even when full-sugar versions of these brands were more expensive than the sugar-free alternatives, the price differential was sometimes less than the SSBT rate. Conclusions The pass-through rate of the SSBT to consumers is sub-optimal. Future policy and research suggestions are outlined. [ABSTRACT FROM AUTHOR]

The article is aimed at further study of the theory of value in terms of determining the essence of the value of an insurance company and allocating the determinants of its formation. Analyzing, systematizing and summarizing the works of many scholars, approaches to the interpretation of the value of the company, in particular the insurer, were considered and the author’s definition was proposed. The value of an insurance company is the monetary equivalent of the utility that the company creates for all stakeholders in the process of carrying out its operational, investment and financial activities, and also the value of tangible and intangible assets that it owns. As a result of the study, it was revealed that the dominant factor in the formation of the value of an insurance company is that in the process of functioning of the company conditions are created for increasing its value. Satisfying the economic needs of policyholders, the insurer receives cash receipts, forms insurance and investment portfolios and increases its own capitalization. The necessity to consider the value of an insurance company simultaneously from the standpoint of two forms of its manifestation: the value of the integral property complex and the value of the insurance business is substantiated. The proposed approach will provide an opportunity to see a holistic picture of economic relations that develop in the process of formation, evaluation and value management of the insurer. The features of the insurance company as a commodity in the market of purchase and sale are determined. Prospects for further research in this direction are the development of practical recommendations for the development and implementation of a value-oriented management system in the near future for the recovery of the insurance business, rethinking the philosophy of its functioning and providing insurance protection to the population and economic entities.

Fluctuations in food prices can trigger vulnerability, disrupting people's access to food. This study aims to predict the prices of strategic food commodities: rice, corn, shallots, garlic, cayenne pepper, large chilies, chicken meat, chicken eggs, beef, cooking oil, and granulated sugar at the wholesaler level in the district. Poor. The research method used is the ARMA-GARCH forecasting method. Price forecasting carried out on all strategic food commodities in Malang Regency shows a fluctuating pattern with a tendency for price increases, with an average change increasing gradually in each period. The causality relationship in various markets about price changes in strategic food commodities in Malang Regency shows a unidirectional and two-way causality pattern.

This study investigates the influence of experiential marketing and price on customer trust, with customer value as a moderating factor. Employing a sample of 200 respondents using proportionate stratified random sampling, data is collected through a survey with a structured questionnaire. Analysis via Structured Equation Modeling (SEM) using LISREL software highlights significant effects. Price exhibits a notable impact on customer trust, emphasizing its role in shaping perceptions. Furthermore, the joint influence of experiential marketing and price underscores a holistic approach. The study contributes to understanding the nuanced interplay among these variables, aiding businesses in refining trust-building strategies. By recognizing customer value's moderating role, this research provides valuable insights for effective customer relationship management.

This study aims to determine whether the independent variables, namely psychological factors, price, and service quality, affect the dependent variable Purchase Decision of Guppies during the COVID-19 pandemic in Solo Raya. This research includes correlational quantitative research, using 97 respondents from consumers who had bought Guppies in Solo Raya. This research uses a multiple linear regression analysis technique. The results of this study concluded that psychological factors, price, and service quality simultaneously affect purchase decisions. Partially, psychological factors and service quality influence purchase decisions, while price does not influence purchasing decisions. Keywords: Purchase Decision; Psychological Factors; Price; Service Quality

Purpose: This research aims to understand the factors influencing brand switching in the telecommunication sector of Pakistan. The study focuses on mobile number portability (MNP) as a means of switching between networks and examines the impact of various factors such as service quality, price, promotion, trust, and product offerings on consumer behavior. The telecommunication industry in Pakistan is highly competitive, with companies vying for customer loyalty and satisfaction through attractive packages and offers. The study seeks to identify the aspects that lead customers to switch from one brand to another. Approach: The research employs a qualitative approach and highlights the need for quantitative research to test the identified variables' impact on brand switching. The study's objectives are to determine the influence of service quality, price, promotion, trust, and product offerings on brand switching. Findings: Regression and Correlation analysis were conducted and the hypothesis examined the combined effect of service quality, price, trust, promotion, and product offering on brand switching, and it was found to be supported. Implications: The research is significant for telecommunication service providers in retaining customers and increasing profitability by understanding and addressing the factors influencing brand switching.

This study of 643 students covering 1286 individual undergraduate business classes explored the factors impacting student acquisition of assigned textbooks and instructional materials. The findings indicated that counterintuitively, lower textbook prices did not increase acquisition rates, and that the utility of assigned materials was the primary determinant of acquisition. When students do not acquire their textbooks and materials, it appears to be tied to the belief that course success is not linked to acquiring those materials. Results suggest that materials not needed to obtain a good grade will not be acquired by many students, even at lower prices. Recommendations for practice and policy are offered. [ABSTRACT FROM AUTHOR]

The article substantiates the relevance of taking into account ecological marketing solutions in the price policy of the enterprise in the conditions of sustainable development. Sustainable development involves focusing on the ecological factor as one of the key aspects of the strategy of sustainable development of enterprises. In this context, the marketing decisions in the part of the price strategy of the enterprise become relevant, since it is the price factor that is the most influential in creating additional value. The purpose of the article is to study the influence of factors of ecological marketing decisions on the formation of the price policy of enterprises in the conditions of sustainable development. That is an influential factor influencing the formation of the general strategy of sustainable development of the enterprise, as a reserve for the creation of added value. As a result of the conducted research, the strategy of price differentiation based on the environmental properties of the product was substantiated. It was proposed the formation of the price on the basis of an additional price premium for markets with a high level of demand for ecologically safe goods. A matrix of price differentiation strategies based on the ecological properties of the product is developed. The evolution of approaches to ecological innovations is improved, taking into account the purpose of pricing. Prospects for further research should be the determination of mutual coordination of all sustainable development goals when making marketing decisions in terms of influence on the formation of a general marketing strategy.

This study aims to determine the influence of brand image and price on the purchasing decisions of fashion consumers at one of the distros in the city of Bandung. The research method used is the Quantitative method with the Verification approach, the samples taken in this study are consumers who have purchased a product with as many as 100 respondents with the accidental sampling technique. Furthermore, primary data uses to obtain supporting data and information, namely data obtained directly from consumers. Based on research using path analysis, the brand image variable has a direct effect of 22.8%, an indirect effect through the price relationship of 13.1%, and the total effect is 35.9%. The price variable has a direct effect of 14.1% and an indirect effect through the brand image relationship of 13.1%; the total effect is 27.1%. The research results on the correlation coefficient of determination illustrate the magnitude of the contribution of all independent variables, namely brand image and price, in determining the purchasing decision variable, which is 0.630 or 63%. In comparison, other factors that influence purchasing decisions that are not examined are 36.9%. The implications of the research results are for fashion businesses to pay more attention to brand image and price to improve purchasing decisions.

This work deals with the analysis and assessment of the offer and actual prices of housing units in the town of Sedlcany. This city is located in the Central Bohemia region, in the Pribram district. The subject of the analysis is the monitored period of two years, from December 2020 to November 2022. The analysis is supported by data from the real estate portals Sreality.cz and Reas.cz, where the offer and actual prices are found, which are entered in the real estate cadastre in purchase contracts. Furthermore, the analysis is based on a local investigation and information from the public portal of the Czech Statistical Office, the Land Registry and the website of the city of Sedlcany, more specifically on their flood plan. Within the monitored period, there are a total of 46 bid advertisements at an average price of 53,619 CZK per 1 square meter. For actual prices, 53 price data are calculated with an average purchase price of CZK 47,884 per 1 square meter. The total average prices differ, but also their development, for which a regression function is always created. Due to the development of the number of offers and their prices, also due to the presence of new housing units among older properties, the reliability value of the offer price model is very low. A higher reliability value can be observed for real prices, where the impact of housing units from the newly completed construction of an apartment building can again be seen. The goal of the work is achieved through an overall analysis and assessment with the conclusions that new buildings have a large impact on prices. The subject of further research will be adding information to the overall context of the issue.

Purpose – The purpose of this report was to evaluate the effectiveness and practicality of system dynamics modeling in integrating econometric equations to describe the effects of supply chain material and information delays on pricing decisions and consequent financial results in an animal feed export business. Design/methodology/approach – An empirical dynamic model, loaded with econometric theory of price effect on competitive demand, was used to describe the input data. Findings – The model simulation outputs proved themselves relevant in analyzing the complex interconnections of multiple variables affecting the profitability in a commercial routine, supporting the decision process among sales managers. The impact of information delay on price decisions and business financial results were estimated using the model proposed. Originality/value – This paper describes an empirical model, based on system dynamics, that predicts operating contribution margins and cash conversion cycles based on estimation of information and material delays in a supply chain. The method is pragmatic and simple for business routine implementation.

Business owners should look at it as a struggle of views. Customers strive to reduce everything to the simplest possible comparable level. Businesses, on the other hand, must strive to prevent this. If the prevention process is successful, the customer cannot make a reasonable comparison based on price alone. Create in the customer's mind the feeling that the business, product or service is different and success in the long run can be yours. Create in the client a sense of differences that have real value for him. The article has examples of perceived value and how it can be converted into better prices and greater profits. Before we can follow this topic, we need to know if pricing is an issue in your business. This article shows you several ways to find out if your prices are too low.

One of the businesses that is currently developing is a coffee shop or what is often referred to as a coffee shop. The trend in the Coffee Shop business is that drinking coffee is not an ordinary activity. The Coffee Shop is now not just a place to enjoy coffee, but the coffee shop has turned into a multifunctional one, namely as a place to do assignments, meet with co-workers, take selfies, and live music. This study aims to look at the influence of lifestyle, prestige, promotion, and price on consumers at the Coffee Shop On Mada Rantauprapat. The researchers used quantitative research methods, The results of this study indicate that the partial regression test T-test. Lifestyle variables do not significantly affect consumption, The Prestige variable has a positive and significant effect on consumption, The promotion variable has no significant effect on consumption, and The price variable has no significant effect on consumption, from the results conclusion the variables of Lifestyle, Prestige, Promotion and Price together have a positive and significant effect on the consumptive variable.

The purpose of this research is to empirically prove the effect of online customer reviews, prices, trust, and perceived risk on online buying interest on e-commerce platforms. This research was conducted in the people of Madiun City by taking a sample using a porposive sample and obtained as many as 200 respondents. This research method uses a quantitative approach using SPSS version 20. The results of this study are online customer reviews, price, trust, and perceived risk affect purchase intention and online customer reviews, trust, perceived risk simultaneously affect purchase intention.

The advancement of information and communication technology is increasing rapidly causing the public's need for smartphone products to increase. The purpose of this study was to analyze the correlation between brand image and price on purchasing decisions for Realme smartphones in Subang Regency, West Java. This research uses a descriptive and quantitative verification approach. The sample used in this study amounted to 303 consumers as respondents which were determined by using the accidental sampling technique. The data analysis method used in this research is collecting data using a questionnaire instrument with a Likert scale. The results of this study are brand image and price have a strong and positive relationship. Furthermore, this study also found that brand image and price have significantly and positively affected purchasing decisions for Realme smartphone products in Subang Regency.

The increasing popularity of ride-hailing applications has given rise to a new channel in which ride-hailing platforms are bundled into aggregation platforms to earn additional orders by charging commissions and slotting fees. Such bundled channels, unlike traditional reseller electronic ones, may flutter prices, service levels, market demands, and then further affect their profits. These divergent attitudes raise an interesting and key question about whether and under what conditions bundled channels should be introduced to ride-hailing platforms. In this paper, we provide an analytical framework for ride-hailing and aggregation platforms in unbundled and bundled scenarios, respectively. We build a Stackelberg game model in which ride-hailing and aggregation platforms as leaders obtain prices by constructing Nash equilibria, while drivers as followers determine service levels given to two platforms. Drivers’ best responses in terms of service levels for two platforms, as well as platforms’ optimal pricing strategies and profits are achieved. To capture access conditions of the ride-hailing platform and the profit contention between two platforms, we further conduct sensitivity analysis on cost coefficients of service levels, price and cross-price substitutions, service level and cross-service level substitutions, revenue-sharing ratio, cost, as well as commission and slotting fee. Based on numerical examples and analysis of the results, some interesting managerial insights about bundling strategies are gained for ride-hailing platforms.

Red chili is an agricultural commodity with high price volatility. Several previous studies stated that volatility was caused by weather effect on red chili production and shocks on public consumption. However, the other research stated that volatility was caused by the government’s import of red chili. This research aimed to analyze the price volatility of red chili in Semarang Regency on January 2019 to February 2020. The ARCH-GARCH method was applied in this study. This research showed that the price volatility of red chili occurred at the beginning, middle, and end of the year due to climate change, changes in public consumption patterns on religious holidays, and oversupply. However, the prevalence of Indonesia’s imports of red chili did not affect the price volatility. The government is suggested to implement a mapping policy and planting patterns to ensure the supply of red chili.

Purpose: This study aims to determine and analyze the effect of price, brand image and product quality on iPhone purchasing decisions in the city of Malang. The population in this study are iPhone consumers who have purchased products at Fineapple id. Design/methodology/approach: The data collection method in this study used a questionnaire with a sample of 75 respondents. The independent variable in this study is the effect of price, brand image and product quality and the dependent variable is the purchase decision. The analytical method used in this study is multiple linear regression analysis and processed using SPSS 26. Findings: The results of this study simultaneously show that the effect of price, brand image and product quality has a positive and significant effect on purchasing decisions. Partially, Brand Image and Product Quality have a significant effect on iPhone Purchase Decisions, while Price has no effect on iPhone Purchase Decisions. Paper type: Research paper

iPhone can now be said to have a distinctive brand image because it uses a distinctive information system. Marketing activities are closely related to the concept of product quality so that what consumers think and feel about a particular brand can make perceived benefits. This study aims to examine the effect of product quality, price, and reference group on the purchase interest of iPhone smartphones among students at Panca Marga University, Probolinggo. In this study using the causal-comparative method. Respondents in this study were students of Panca Marga University, Probolinggo. The questionnaire was distributed to 104 respondents. Sampling was done by purposive sampling technique. Based on the results of research using SPSS. Through the results of this research, it can be concluded that: Simultaneously Product Quality, Price, and Reference Group have a positive and significant effect on Purchase Interest for iPhone smartphones for Panca Marga Probolinggo University Students, Partially Product Quality, Price and Reference Group has a positive and significant effect on Purchase Interest of iPhone smartphones for Panca Marga Probolinggo University Students, and Product Quality has a dominant effect on Purchase Interest of iPhone smartphones for Panca Marga Probolinggo University Students.

Purpose – Hotels are immersed in a very competitive environment and hoteliers have to plan and redesign their strategies to stay in the hospitality industry while faced with a steady rise in competition. Hoteliers can employ horizontal differentiation strategies and pricing decisions to gain a competitive advantage over their competitors. The goal of our work is to analyse the effect of pricing and horizontal differentiation strategy of a hotel on its online reputation and to analyse if the hotel location and agglomeration of competitors moderates their relationship with online reputation. Design/methodology/approach – With a sample of 264 hotels from Paris, an empirical study is developed that aims to analyse, using regression techniques, the impact of price, differentiation, location and competitive environment on online ratings given by consumers in the hospitality context. Findings – The paper provides empirical evidence of how a good location improves the online reputation of a company and how pricing strategies should take into account the location and number of competitors since a good location allows premium prices to be valued positively by consumers while an inappropriate location can produce the opposite effect. Depending on location, the number of competitors can intensify or reduce the effect of price on online reputation. Finally, online reputation only benefits from horizontal differentiation strategies when the degree of agglomeration is low. Originality/value – This work provides insights about how hotels can strengthen their online reputation through pricing and differentiation strategies, incorporating elements of their environment such as location and competition in this decision-making process. 研究目的 – 酒店處於一個競爭非常激烈的經營環境中，營運者要面對競爭日益加劇的挑戰，在這情況下，他們必須計劃並重新設計其策略，以在酒店服務業中仍能繼續其業務。營運者可採用水平分化策略和定價決策，以取得比同業更大的競爭優勢。本研究旨在分析，若酒店採用價格及水平差異之策略，這對它們的網上聲譽會起什麽效應；研究亦探討酒店所處的位置及競爭者的凝聚會否減弱其與網上聲譽的關係。 研究設計/方法/理念 – 研究樣本為來自巴黎264間酒店。研究人員採用實驗研究法，透過迴歸分析法，去分析在酒店服務的背景下，價格、差異化、地點和競爭環境如何影響消費者所給予的網上評分。 研究結果 – 本文提供了經驗性證據，證明良好的地點會改善公司的網絡聲譽； 同時，亦證明釐定價格策略時，經營者應考慮競爭者的位置和數目，這是因為良好的地點會讓消費者正面評價溢價，而不合適的地點則會導致相反的效應。根據所在的地點，消費者的數目能增強或減弱價格對網絡聲譽的影響。最後，本文也證明了網絡聲譽只會在凝聚程度低的情況下才會受惠於水平分化策略。 研究的原創性/價值 – 本研究提供啟示，使我們更明瞭酒店如何能透過價格及差異化策略，同時亦透過把它們的環境元素如地點和競爭等納入決策程序中，來強化網絡聲譽。

This study aims to determine the effect of brand image, price, and product reviews on product repurchase intention in Lazada Indonesia. The population in this study are consumers who use Lazada Indonesia's e-commerce services and who have made transaction purchases at least once. This study used a sample of 109 respondents. The sampling technique used was purposive sampling with the following criteria: (1) lazada Indonesian e-commerce service users are at least 17 years old, and (2) have made at least one purchase at di lazada.co.id. The data analysis technique uses the Multiple Linear Regression analysis method with IBM Statistic 22 software. The results of this study indicate that brand image has a positive and significant effect on repurchase intention. In contrast, the price variable has a positive and insignificant effect on repurchase intention. Moreover, product review variables have a negative and insignificant effect on repurchase intention.