Service Price Research Articles

Customer Satisfaction Based on Service Quality and Price

Industrial machine repair services is one of the service industries where new company actors have emerged and innovated as a result of the growth of the service sector. One strategy to outperform the competition is to prioritize customer satisfaction. A few important factors that affect customer satisfaction are price and the quality of the services rendered. The purpose of this study is to ascertain how pricing and service quality at PT. Karya Utama Wijaya Sakti relate to each other in terms of customer satisfaction. The sample size is one hundred clients, and multiple linear regression analysis is the method employed. The study's findings show that, albeit slightly concurrently, both the pricing and the quality of services at PT. Karya Utama Wijaya Sakti have a positive and significant impact on customer satisfaction.

Regional price differences of medical services: evidence from China

BackgroundPrice levels of medical services may vary across regions with different income levels, which would raise concerns about the equal access to medical services. This study aimed to estimate the spatial price index of medical services to measure price levels across 31 provincial regions in China.MethodsPrice data were collected from medical service price schedule in each region. Two methods based on the Purchasing Power Parities were used to estimate the spatial price index and measure price differences across regions. The two-way fixed effects models were used to examine the association between medical service price levels and income levels, and further investigate the impacts of price differences on utilization of medical services and medical expenditure.ResultsThe consistent estimation results were given by two methods. Medical service price level in the highest-price region was found to be 74% higher than the lowest. There was a significant negative correlation between price levels and income levels, as well as price levels and the utilization of outpatient services. Moreover, we also found a 1% increase in medical service price level was significantly associated with a 0.34% and 0.24% increase in the medical service expense per outpatient visit and per inpatient respectively.ConclusionsRegions in China had significant gaps in medical service price levels. Policymakers should pay more attention to regional price differences and take great measures such as enhancing financial protection to ensure the equal access to medical services and better achieve the universal health coverage.

Fed Tapering: How Has Feds Announcement of Tapering Affected Consumers and Foreign Economy?

This articles purpose is to investigate the Federal Reserves tapering decision and how it affects consumers behavior and the foreign economy. To generate a prediction of how tapering changes consumers behavior, we recorded the dates that FOMC has made announcements and used them to create a regression analysis with the US treasury yield. To make sure our statistical inference is reliable, we analyzed different types of treasury bonds, which include 1 year, 3 years, 5 years, 10 years, and 30 years. We also utilized the real-interest rate and Chinese Yuan to US dollar exchange rate to analyze the correlation between interest rate and exchange. The purpose is to give a rough understanding of how tapering could affect foreign economy. When we are concluding the analyzed result, a counterintuitive finding appears. When the Fed announces a tapering or tightening decision, we should expect an increase in the interest rate. However, the interest rate decreases whenever the Fed decides to taper. On the other hand, as the interest rate falls, we should expect a depreciation of the dollar and a decrease in the price of Americas goods and services. It shouldve benefited foreign economies, but instead, it worsens them and causes their currencies to further depreciate. Altogether, the results suggested that the Feds tapering decision will change consumers behavior and unavoidably decline other countries' economies.

Market-Driven Resilience in Luxury Transportation

As demand for premium private transportation grows, fuelled by rising purchasing power and a preference for luxury, transportation companies are increasingly offering high-end services. This study focuses on the luxury tourism bus Omah Sultan by Juragan 99 Trans in Malang, East Java, Indonesia, and explores its market resilience. Conducted over a year, the research uses qualitative methods, including observations, interviews with three managers, and feedback from 112 users. The study examines key aspects such as service quality, facilities, safety, innovation, pricing, brand image, and uniqueness. Results indicate that users appreciate the luxurious amenities, advanced technology (including a unique self-cleaning toilet), and the high level of safety and comfort provided. The bus's competitive pricing and strong brand reputation also contribute to its popularity. Since its launch in July 2021, the rental price has increased from 9 million to 14 million rupiah per day by May 2024, yet demand remains robust, with 42 out of 112 respondents being repeat customers. This research underscores the importance of continuous innovation and high-quality service in maintaining a competitive edge in the luxury transportation market.

The “Pink Tax” and Gender Price Disparity in Personal Care

The “Pink Tax” refers to charging higher prices for products and services marketed primarily to women compared to similar or identical items targeted at men, despite comparable production costs. This research uses Unilever as a case study to focus on the impact of the Pink Tax on women’s purchasing power, particularly within the personal care industry. The study provides a comprehensive overview of the Pink Tax’s evolution, key research findings, public responses, and regulatory measures to address this issue. By synthesising existing research and case studies, this paper highlights the economic burden imposed on women and the reinforcement of gender stereotypes through market practices. The study underscores the need for equitable pricing mechanisms and informed consumer advocacy to rectify the economic disparities exacerbated by the Pink Tax.

The Influence of Service Quality, Brand Image and Price on Customer Satisfaction of the Taman Bukit Palem Resort Bogor Hotel

This research is about service quality, brand image and price on consumer satisfaction at the Taman Bukit Palem Resort Bogor Hotel. The method used is descriptive quantitative verification. Data collection through distributing questionnaires. The tests used are validity tests, reliability tests and classical assumption tests which are processed to produce multiple linear regression equations. The results of this research are that all indicators are simultaneously valid and reliable, the independent variables are proven to significantly influence the dependent variable of consumer satisfaction. Then, partially, it can be seen that the independent variables service quality (X1) and price (X3) have a positive and significant influence on consumer satisfaction (Y), while brand image (X2) does not have a positive and significant influence on the dependent variable consumer satisfaction (Y).

A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets

AbstractThis paper proposes a multi‐level coordinated scheduling strategy for shared energy storage systems (SESS) under electricity spot and ancillary service markets to maximize the overall operational profit. At the upper level, an optimal day‐ahead bidding model is formulated to allocate optimal capacities of SESS for engaging in electricity transactions and offering peak shaving reserve over the scheduling horizon. Then, a joint market clearing model is presented to simultaneously optimize awarded capacities of SESS and marginal prices of electricity spot and ancillary service markets at the middle level. Furthermore, the lower level aims to correct the coordinated scheduling strategy for minimizing the intra‐day scheduling cost under the uncertainty of renewable energy sources and load demand. Finally, a linear relaxation method is applied to transform the proposed strategy into a mixed‐integer linear programming problem for enhancing the computation efficiency. Comparative case studies have validated the superior performance of the proposed strategy for better utilization of available storage capacity and arbitrage maximization.

How do supply- and demand-side dynamics and subsidies affect the prospects for electric vehicle battery swapping services? Evidence from an evolutionary analysis

The growing adoption of electric vehicles has highlighted the challenges associated with charging services. Slow charging has proven insufficient to address users’ concerns about range anxiety, and the constraints within the power grid have impeded the expansion of fast charging infrastructure. Battery-swapping services have emerged as a potential resolution to this predicament. Despite government efforts to promote the advancement of battery-swapping services, the market’s future remains to be determined. This study develops a network-based three-decision evolutionary game model to analyze the diffusion of battery-swapping services, considering subsidies along with supply- and demand-side dynamics. The result shows that: (1) Battery-swapping services win out in performance, and Charging Station (CS) only providing charging service will be gradually squeezed out by Battery Swapping Station (BSS) and Battery Charging-Swapping Station (BCSS). (2) It is more effective to subsidize station builders than users. Besides, avoiding over-subsidizing to prevent wastage and providing long-term subsidies for station builders are recommended, while user subsidies can be gradually phased out. (3) The charging/battery-swapping service price in the early stage exhibits a U-shaped effect on the decline of CS market share. (4) Proactively promoting the benefits of battery-swapping services can be a nudge.

Gated ensemble of spatio-temporal mixture of experts for multi-task learning in ride-hailing system

Ride-hailing system requires efficient management of dynamic demand and supply to ensure optimal service delivery, pricing strategies, and operational efficiency. Designing spatio-temporal forecasting models separately in a task-wise and city-wise manner to forecast demand and supply-demand gap in a ride-hailing system poses a burden for the expanding transportation network companies. Therefore, a multi-task learning architecture is proposed in this study by developing gated ensemble of spatio-temporal mixture of experts network (GESME-Net) with convolutional recurrent neural network (CRNN), convolutional neural network (CNN), and recurrent neural network (RNN) for simultaneously forecasting these spatio-temporal tasks in a city as well as across different cities. Furthermore, a task adaptation layer is integrated with the architecture for learning joint representation in multi-task learning and revealing the contribution of the input features utilized in prediction. The proposed architecture is tested with data from Didi Chuxing for: (i) simultaneously forecasting demand and supply-demand gap in Beijing, and (ii) simultaneously forecasting demand across Chengdu and Xian. In both scenarios, models from our proposed architecture outperformed the single-task and multi-task deep learning benchmarks and ensemble-based machine learning algorithms.

Pengaruh Kualitas Pelayanan dan Harga Terhadap Minat Berkunjung Kembali di Café Damar Shaker Padang Baru

This research aims to assess how service quality and pricing affect the likelihood of returning to Café Damar Shaker Padang Baru. The study uses a quantitative approach with a causal associative model, employing a survey methodology. The research population comprises customers of Café Damar Shaker Padang Baru, with a sample size of 130 respondents. A non-probability sampling method, specifically purposive sampling, was used. The research instruments were tested for validity and reliability. Analysis included tests for normality, heteroscedasticity, and multicollinearity. Hypothesis testing was conducted using multiple linear regression and the coefficient of determination. Findings reveal that service quality, pricing, and the intention to revisit are all rated highly, with average scores of 4.64, 4.67, and 4.71 respectively. The multiple linear regression analysis produced an F value of 64.723 with a significance level of 0.000 (p < 0.05), confirming the validity of the regression model. The Adjusted R Square value of 0.497 indicates that service quality and pricing account for 49.7% of the variation in the intention to revisit Café Damar Shaker Padang Baru, while the remaining 50.3% is influenced by other factors not examined in this study. Consequently, the alternative hypothesis (Ha) is supported.

Strategic coopetition among transportation service providers considering supply–demand congestion effects and asymmetric bargaining power

The phenomenon of transportation service providers (TSPs) engaging in both competition and cooperation, commonly referred to as coopetition, has become increasingly prevalent in the transportation market. This is driven by the rapid advancements in information technology and sharing economy. In practice, competitive TSPs can engage in a resource exchange scheme to share their resources to improve their service quality. However, such a resource exchange scheme may not be sustained since the service prices and profits will be further changed due to the competition in the end market. This study proposes a two-stage sequential-move game to characterize the coopetition problem between TSPs, wherein the first-stage resource exchange problem is modeled with a Nash bargaining game, and the second-stage pricing problem is modeled with a non-cooperative Nash game. Different from prior studies, our model incorporates the supply–demand congestion effects and the asymmetric bargaining power of TSPs. The subsequent impacts on social welfare, TSPs, and end users are investigated. Analytical results show that only when the unit price of the exchanged resources decreases in the exchanged resource quantity will the resource-exchange scheme succeed. Furthermore, we find that TSPs prefer to leave some “buffer zone” in between to avoid fierce competition with price wars.

Study of service quality, price sensitivity, and passenger satisfaction in India’s airline sector

Understanding the determinants of customer satisfaction is crucial for airlines to maintain and grow their customer base. This study aims to analyze how various service quality dimensions and prices impact airline attractiveness using the service quality (SERVQUAL) model. Data were collected from 400 respondents through an online questionnaire using the convenience sampling method. The respondents included a diverse mix of frequent flyers, occasional travelers, and business professionals, ensuring a comprehensive understanding of passenger perspectives in the Indian airline sector. This study tested the hypotheses by analyzing the data using structural equation modelling (SEM) to understand the relationships between service quality attributes, price, passenger satisfaction, and airline attractiveness. The results indicate that empathy, price, tangibles, and satisfaction determinants positively develop attractiveness among passengers to use and continue in airline services. The relationships between empathy and satisfaction (β = 0.130, t = 2.317, p = 0.021), tangibles and satisfaction (β = 0.214, t = 4.321, p = 0.000), price and satisfaction (β = 0.425, t = 7.825, p = 0.000) were statistically significant, and satisfaction positively influenced airline attractiveness (β = 0.895, t = 75.529, p = 0.000). The assurance, reliability, responsiveness attributes must improve to attract passengers. The results provide insights into aviation industry and help them to make better policies and strategies to implement services and customer satisfaction to sustain heavy aviation competition in India. AcknowledgmentThe authors express gratitude to GITAM University, department heads, leadership of department of management and all individuals who have supported and contributed to the successful execution of this study.

Customer satisfaction is based on Service Quality, Price and Promotion (Case Study On The Gazebo Café Bogor)

This research aims to determine the simultaneous and partial influence of service quality, price, and promotion on customer satisfaction at The Gazebo Cafe. Questionnaires were distributed to 100 respondents using purposive sampling with the following criteria: customers who have made at least two visits and customers who are considered mature enough to fill out the questionnaire and are at least 17 years old. The questionnaires were tested for validity, reliability, and classical assumption testing. The results of these tests showed that the questionnaires were valid, reliable, and could be used for regression data. The analytical method used in this study was a descriptive and verificative method with a quantitative approach. The results of the study showed that the variables of service quality, price, and promotion, both simultaneously and partially, have a positive and significant effect on customer satisfaction at The Gazebo Cafe. The coefficient of determination (R Square) value is 72,4%. The relationship between service quality, price, and promotion and customer satisfaction is very strong, with a value of 0,851.

Pengaruh Kualitas Pelayanan, Harga, dan Citra Merek terhadap Keputusan Pembelian Jasa Transportasi Online Maxim di Yogyakarta

Maxim is a Russian online transportation that has developed in Indonesia. The large number of online transportation in Indonesia makes Maxim offer affordable prices with many choices of services with good quality to attract customer. The study aims to determine the influence of service quality, price, and brand image on purchasing decisions for Maxim online transportation services. Using a quantitative approach, with data sources derived from primary and secondary data. Primary data was obtained by distributting questionnares to respondents. Secondary data sources were obtained from journals and books. The sample collection technique uses non-probability sampling (purposive sampling). The research sample was 168 respondents with the criteria of being students, residing in Yogyakarta, and had used Maxim,s online transportation services at least once. The data was processed using descriptive analysis test methods, instrument tests, classical assumption tests, multiple linear regression analysis, and hyphotesis testing with the help of SPSS 27 software. The result showed that serivec quality, price, and brand image influence purchasing decisions for Maxim online transportation services.

Outcome research on esophagectomy analyzed using nationwide databases in Japan: evidences generated from real-world data.

Esophagectomy for esophageal cancer is a highly invasive gastrointestinal surgical procedure. The National Clinical Database (NCD) of Japan, initiated in 2011, has compiled real-world data on esophagectomy, one of nine major gastroenterological surgeries. This review examines outcomes after esophagectomy analyzed using the Japanese big databases. Certification systems by the Japanese Society of Gastroenterological Surgery (JSGS) and the Japan Esophageal Society (JES) have shown that institutional certification has a greater impact on short-term surgical outcomes than surgeon certification. Minimally invasive esophagectomy has emerged as a viable alternative to open esophagectomy, although careful patient selection is crucial, especially for elderly patients with advanced tumors. The NCD has significantly contributed to the assessment and enhancement of surgical quality and short-term outcomes, while studies based on Comprehensive Registry of Esophageal Cancer in Japan (CRECJ) have provided data on patient characteristics, treatments, and long-term outcomes. The JES has conducted various questionnaire-based retrospective clinical reviews in collaboration with authorized institutions certified by JES. The Diagnosis Procedure Combination (DPC) database provides administrative claims data including itemized prices for surgical, pharmaceutical, laboratory, and other inpatient services. Analyzing these nationwide databases can offer precise insights into surgical quality for esophageal cancer, potentially leading to improved treatment outcomes.

The declining affordability of dental care in New Zealand from 1978 to 2023.

In the early 2020s, nearly half of New Zealand adults reported that cost of treatment had prevented them from accessing dental care, with higher rates among Māori, Pasifika and individuals living in the most deprived areas. Unaffordable dental care may be explained by a rise in dental service fees over time relative to personal income, as documented in New Zealand between 1978 and 1993. However, there have been no contemporary estimates in New Zealand of how the affordability of dental care has changed. The aims of this study were to analyse the change in dental treatment fees and the personal income of New Zealanders from 1978 to 2023 and to explore differences in affordability of dental care by ethnicity. Average fees for dental treatments were sourced from surveys completed by practising New Zealand dentists. Earnings (from 1978) and personal income data (full population from 2000 and by ethnicity from 2008) were sourced from Statistics NZ and NZ Official Yearbooks. Inflation-adjusted changes in average fees, weekly personal earnings and income were calculated as a percentage change from 1978 levels for fees and earnings and from 2000 for personal income. For the five dental treatments with data available from 1978 to 2023, fees increased in the range of 75%-236%, while earnings increased by 46% over the same period. Fees for other treatments (with data available from 1981 to 2009) similarly increased and mostly surpassed changes in earnings. From 2008 to 2023 the overall increase in personal income (about 21% across all ethnic groups) kept pace with the rising cost of most treatments. However, due to persistent income inequalities, in 2023, Māori and Pasifika would need to spend a higher proportion of their weekly income (approximately 16% and 23% respectively) to receive the same dental treatments as NZ Europeans. Fees for dental treatments have risen markedly in recent decades, more sharply than the price of other goods and services.

Differentiated health insurance policy for coordinating healthcare referral in hierarchical healthcare systems with an internet diagnosis platform

The integration of the Internet with traditional medical services is poised to transform health insurance policies. This study aims to explore the coordinating role of differentiated health insurance policies within the context of Internet healthcare. A four-stage sequential game decision-making model is developed within a queuing framework to address scenarios involving online patient referrals and misdiagnoses. The model begins by analyzing the equilibrium arrival strategy of patients, followed by the determination of optimal service capacity strategies for a nonprofit community health center (CHC) and optimal pricing strategies for a for-profit general hospital (GH). Additionally, the model describes an optimal differentiated subsidy strategy for the government aimed at minimizing total social costs. Analysis reveals that under certain conditions, an increase in the service price at GH relative to CHC can lead to a higher influx of online patients visiting GH in person. Furthermore, when the number of online patients exceeds a specific threshold, it not only prompts the government to increase the disparity in health insurance subsidies between the two hospital tiers but also encourages GH to reduce its service prices and offer free services to online patients. Numerical experiments explore the effects of government budgets, sharing ratios, and other variables on the system's equilibrium state, providing several managerial insights. Notably, when patients' misdiagnosis costs are partially covered, increasing GH's misdiagnosis cost-sharing ratio not only enhances the patient arrival rate but also enhances GH's profitability.

Pricing of medical services and channel selection strategies for pharmaceutical supply chain under the zero‐markup drug policy

AbstractThis paper studies the channel strategies of drug suppliers in the drug supply chain under the zero‐plus drug pricing policy. With the popularity of e‐commerce and online shopping, supply chain firms have begun considering expanding their business to online channels. In this paper, we construct a game model to explore the impact of the pharmaceutical supply chain's development of online channels on supply chain members. We conclude that under the zero profits policy, increasing the public hospital's public welfare level will increase the price of drugs, decrease the price of medical services, and reduce the overall cost of patients. In addition, the greater the sensitivity of medical services, the lower the likelihood that a drug supplier will open an online pharmacy, and the lower the level of public good, the greater the likelihood that a drug supplier will open an online pharmacy. In addition, under certain conditions, patients can receive a higher level of medical service and spend less on healthcare under a dual‐channel strategy. Finally, under a dual‐channel strategy, an appropriate profit‐sharing mechanism can eliminate instability in the pharmaceutical supply chain.

Pengaruh Kualitas Pelayanan, Harga, Dan Kepuasan Pelanggan Terhadap Loyalitas Pelanggan Pada Karaoke Keluarga Be Star Mmtc Pancing

This research was conducted at the Be Star MMTC Pancing family karaoke which aims to determine the influence of service quality, price, customer satisfaction on customer loyalty at the Be Star MMTC Pancing family karaoke. The population in this study were visitors and customers at the Be Star MMTC Pancing Family Karaoke in Medan City who had visited. The sample used was 96 respondents. The sampling technique used was purposive sampling. The data used in this research is primary data. Research data was collected using quantitative methods with questionnaires, which have been tested with validity, reliability, classical assumptions and hypotheses. The data analysis technique in this research uses Multiple Linear Regression Analysis using the SPSS version 25.0 program. The research results show that both partially and simultaneously, the variables Service Quality, Price and Customer Satisfaction have a positive and significant effect on customer loyalty at Be Star MMTC Pancing Family Karaoke.

Pengaruh Kualitas Pelayanan dan Harga Terhadap Loyalitas Pelanggan di Red Chilies Hotel Solo

This research aims to analyze the influence of Service Quality and Price on Customer Loyalty at Red Chilies Hotel Solo. The method used in this research is quantitative with data collected through questionnaires to hotel customers and processed using SPSS 26. The total number of respondents was 99 people. The data analysis techniques applied include validity, reliability, normality, multicollinearity, heteroscedasticity, multiple linear regression, coefficient of determination, and F and T tests to determine the relationship between variables. The research results show that Service Quality (X1) and Price (X2) have an effect on Customer Loyalty (Y), proven through a significant T test of more than 0.05 and a calculated r value that is greater than r table 1.661.