Competitive Pricing Strategies Research Articles

Optimal dynamic pricing and green design under carbon-reduction competition considering social influence

The concept of green design is a design idea that focuses on environmental protection and sustainability. Green design has become the core competitiveness of enterprises. So this paper explores competitive pricing and green design strategy of firms in the context of carbon reduction. In the analysis of the effect of social influence, consumer environmental awareness is also considered. And two research scenarios are examined: Price competition in single carbon reduction scenario; Competition in pricing and green level under dual carbon reduction scenario. The results indicate that social influence and consumer environmental awareness interactively and significantly affect corporate decisions; Social influence positively promotes firms’ profit and is not always disadvantageous for competitors’ profit; In equilibrium, when one firm makes a green transformation, it achieves the win-win situation of not only improving environmental performance but also maximizing economic benefits. However, the induced environmental improvements and economic benefits of competitive enterprises are not necessarily ideal. The study results provide optimal strategies for competitive and environmental actions of enterprises, and also provide management insight for the sustainable development of enterprises.

How Perceived Value Mediates Muslim Consumer Loyalty to Halal Cosmetics: An Analysis of Labelling, Price, and Quality

Introduction: Community productivity is critical in maintaining quality of life to avoid disasters. The use of digital technology in the economic aspect has also provided opportunities for people far from the market to earn income to meet their living needs. Objective: This quantitative study aimed to explore the impact of halal labeling, price, and product quality on consumer loyalty toward Indonesian skincare products among Muslim consumers in the Jabodetabek area. Specifically, it examines the mediating role of perceived value in these relationships. Method: Primary data were collected through a questionnaire distributed to 115 Muslim respondents who used Indonesian skincare products from Jabodetabek. The study employed random sampling was used for the participant selection. For data analysis, Structural Equation Modeling (SEM) using Partial Least Squares (PLS) was used to assess both the direct and indirect effects of the variables. Result: This finding revealed that labeling and price do not directly affect consumer loyalty. At the same time, product quality and perceived value do, with the latter being positively influenced by price and product quality. The study also concludes that perceived value is a crucial driver of consumer loyalty, emphasizing that companies should focus on enhancing product quality and perceived value to strengthen consumer loyalty while recognizing that halal labeling, although important in principle, does not directly impact consumer loyalty or perceived value. Implication: The findings suggest that product quality and perceived value are critical drivers of consumer loyalty for skincare products targeting Muslim consumers in Jabodetabeky. Halal labeling, while necessary in principle, does not directly influence loyalty or perceived value. Companies should prioritize enhancing product quality and delivering perceived value to strengthen consumer loyalty while considering competitive pricing strategies that enhance perceived value.

Unveiling the Impact of Emotional Regulation on Academic Procrastination

This study examines how consumer perceptions of the Skintific brand, product quality, and pricing influence product selections among 110 FBHIS students at Muhammadiyah University of Sidoarjo. Using online questionnaires and quantitative analysis methods, including validity and reliability tests, multiple linear regression, and t-tests, the research reveals significant relationships between brand image, product quality, pricing, and consumer purchasing decisions. The findings emphasize the importance of these factors in shaping consumer behavior, particularly among university students, and offer insights for skincare companies targeting this demographic to enhance brand image, maintain product quality, and offer competitive pricing strategies. Highlight: Quantitative Analysis: Validity, reliability tests, regression for consumer behavior research. University Sample: Investigated FBHIS students' purchasing choices at Sidoarjo University. Strong Associations: Brand image, product quality, pricing linked to consumer decisions. Keywoard: Consumer perceptions, Skintific brand, Product quality, Pricing, Decisions

Enhancing Sales Volume to Optimized Retail Marketing Strategy: Case Study on MSMEs Retail in Bantul, Yogyakart

The retail industry in Indonesia has experienced significant growth, particularly with the increasing presence of modern retail chains that challenge the sustainability of local Micro, Small, and Medium Enterprises (MSMEs). MSMEs in the retail sector, especially in regions like Bantul, Indonesia, face mounting competition from these larger and better-funded players. This study investigates how MSMEs can enhance their sales volume by adopting more effective retail marketing strategies. Grounded in marketing theory, specifically the principles of modern merchandising, category management, pricing, promotion, and supplier relationship management, this research aims to determine the strategies that are most impactful for MSME retailers in a competitive market. Using a qualitative case study methodology, data were collected from interviews with MSME owners, direct observations, and sales data analysis of selected retailers in Bantul. The findings reveal that MSMEs implementing modern marketing techniques, such as improved merchandising displays, competitive pricing strategies, and strategic supplier negotiations, were able to increase their sales volumes despite facing strong competition from established retail chains. Furthermore, businesses that incorporated digital tools for promotions and customer engagement saw a noticeable improvement in customer loyalty and sales growth. In the discussion, the study emphasizes that while the adoption of modern retail strategies is critical, MSMEs still face challenges such as limited financial and technological resources, which hinder their ability to fully compete with larger retailers. Nonetheless, the findings demonstrate that targeted marketing strategies, particularly in supplier relationships and pricing techniques, offer MSMEs a sustainable path to growth. The study concludes that for MSMEs to thrive in the competitive retail environment, they must adopt a hybrid approach that combines traditional retail techniques with modern marketing innovations. Future research should focus on the role of digital transformation in further enhancing the competitiveness of MSMEs in the retail sector. Keywords: Sales Volume, Retail Marketing, MSMEs

Investigating Methods for Increasing Sales in E-Commerce

In this detailed exploration of e-commerce strategies, we delve into the intricacies of enhancing customer experience, leveraging social media and marketing, employing data analytics and market research, integrating advanced technology, ensuring trust and reliability, and optimizing logistics and delivery. These facets are crucial for understanding and responding to consumer behavior, predicting market trends, and maintaining competitive pricing strategies. The synthesis underscores the necessity of continuous innovation and adaptability in the fast-evolving digital marketplace. E-commerce businesses are encouraged to embrace these strategies to meet consumer demands effectively, drive sales, and ensure sustainable growth. This comprehensive overview serves as a guide for e-commerce entities aiming to thrive in this dynamic sector.

Contribution of brand image, price, and product quality in purchase decisions through the buy now, pay later (BNPL) feature on beauty care products

This study aims to examine the influence of brand image, price, and product quality on consumers' purchase decisions when using the "Buy Now, Pay Later" (BNPL) feature for beauty products. The research involved 101 respondents who are active BNPL users. The research method used is multiple linear regression analysis. The results showed that price and product quality had a significant positive influence on purchase decisions, while brand image had no significant influence. This indicates that consumers prioritize rational factors such as price and quality over emotional factors such as brand image when deciding to purchase beauty products through the BNPL feature. The implications of this study are that businesses need to focus more on competitive pricing strategies and improving product quality to attract customers, as well as integrating the BNPL feature as one of the flexible payment options.

Price, Marketing Communications and E-commerce Services on Consumer Purchase Intention in Online Shopping

General Background: The rise of technology and internet use has significantly influenced shopping behaviors in Indonesia, particularly with the growth of online shopping. Specific Background: Factors such as price, marketing communication, and e-commerce services are essential in shaping consumer purchasing decisions in this digital space. Knowledge Gap: Limited research has examined the combined impact of these variables on online purchase intentions. Aims: This study investigates the effects of price, marketing communication, and e-commerce services on consumer purchasing intentions. Results: Using a quantitative approach with 96 respondents, the analysis reveals that all independent variables significantly influence consumer purchase intentions in online shopping. Novelty: This research integrates multiple influencing factors into a single study, emphasizing their collective impact. Implications: Findings indicate that e-commerce platforms should focus on competitive pricing, effective marketing strategies, and quality services to enhance consumer purchase intentions, contributing to a thriving online retail environment. Highlights: Significant Influence: Price, marketing communication, and e-commerce services collectively impact consumer purchasing decisions in online shopping. Research Gap: This study fills the void by examining the combined effects of multiple factors on purchase intentions. Strategic Implications: E-commerce platforms should prioritize competitive pricing and effective marketing strategies to boost consumer engagement and sales. Keywords: Price, Marketing Communication, E-Commerce Services, Consumer Purchase Intention, Online Shopping

Market Penetration Strategy by Increasing Firm Competitiveness

To achieve successful market penetration, businesses must navigate complexities related to culture, legal frameworks, economic conditions, and competition. Businesses must decide whether to standardize their marketing strategies across different markets or adapt them to suit unique market characteristics. Competition is the ability to perform better, and faster. In facing competition, companies need to determine the right strategy, because in general companies are trying to survive, grow and develop. The purpose of the Market Penetration Strategy research by Increasing Company Competitiveness can include several aspects, namely, Assessing the company's strengths and weaknesses. Conducting market analysis to understand existing opportunities and challenges, including consumer preferences and behavior, and market trends and Developping an effective Market Penetration Strategy to increase market penetration, such as products, improving customer service, or competitive pricing strategies. This study uses a descriptive qualitative method to find out how PT. AJS Bumiputera markets its products, using market penetration to increase competitiveness, or to find out what the biggest challenges are in its market penetration strategy. This study uses a qualitative method as one of the methodologies in research that does not yet have a standard definition and is generally agreed upon for use. From the results of the study it is known that PT. Bumiputera Sharia Life Insurance, using market penetration through digital platforms such as social media, company websites, and online advertising campaigns to reach a wider audience. Organizing events, seminars, or workshops, related to finance or health. Providing education about the benefits of insurance products to the public, conducting direct promotions through telemarketing, or face-to-face marketing to introduce products directly.

Customer satisfaction optimization: Impact of PLN mobile application and price in the context of PT. PLN Palembang services

This study aims to evaluate the effect of the PLN Mobile application and price on customer satisfaction at PT. PLN (Persero) UP3 Palembang ULP Rivai. This study also examines the role of price as a mediating variable in the relationship between the PLN Mobile application and customer satisfaction. The method used in this study is a quantitative approach with data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). Primary data were collected through a survey involving 100 PLN Mobile customer respondents. The results of the analysis show that the PLN Mobile application has a positive and significant effect on customer satisfaction, with a path coefficient of 5.588 and a p-value <0.001. Price also has a significant effect on customer satisfaction with a path coefficient of 4.434 and a p-value <0.001. Furthermore, the indirect effect analysis revealed that price functions as a partial mediating variable between the PLN Mobile application and customer satisfaction, with a path coefficient of 3.513 and a p-value <0.001. These findings indicate that the PLN Mobile application and price directly affect customer satisfaction, and price plays an important role in strengthening the influence of the PLN Mobile application on satisfaction. Based on these results, it is recommended that PT. PLN continues to optimize the features and services of the PLN Mobile application to improve customer satisfaction and consider competitive pricing strategies. This study also suggests further studies to explore other factors that may affect customer satisfaction in the public service sector.

Proposed Marketing Strategy to Attract Potential Customers and Increase Revenue through Product Diversification in Resik Wangi Auto Detailing

The automotive detailing industry in South Jakarta is experiencing heightened competition, impacting the revenue of Resik Wangi Auto Detailing. This thesis investigates the factors contributing to the revenue decline and proposes a comprehensive marketing strategy focused on product diversification and digital marketing to attract potential customers and increase revenue. The study employs a mixed-methods approach, combining quantitative surveys and qualitative interviews to gather data on customer preferences, market conditions, and business performance. The research identifies that the primary internal challenge is the lack of diversified services, while externally, increased competition and consumer behavior heavily influenced by digital marketing and service quality are critical factors. Key findings indicate that product diversification, particularly through bundled service packages like the “Signature Menu” and “Ultimate Menu,” can significantly enhance customer satisfaction and loyalty. Competitive pricing strategies and a robust digital marketing presence are essential in attracting and retaining customers. The study concludes that by implementing these strategies, Resik Wangi can effectively address its revenue challenges and achieve sustainable business growth.Recommendations for Resik Wangi include the immediate implementation of diversified service packages, enhanced digital marketing efforts, competitive pricing, and a strong focus on service quality. Additionally, future research should explore further diversification opportunities and the impact of emerging technologies on customer engagement and marketing strategies. This research provides a strategic framework for Resik Wangi Auto Detailing to navigate the competitive landscape, improve market positioning, and increase revenue through targeted marketing and service enhancements.

Competition, Credit Risk and Banks’ Franchise Value: Evidence from Kuwait and COVID-19 Policy Insights

Purpose: This paper investigates the franchise-value paradigm theory proposed by Keeley (1990) in relation to the competition-credit risk nexus in Kuwait’s banking sector before and during the COVID-19 pandemic. The study explores the theories of fragility hypothesis, stability, and the non-linear argument, which are subjects of controversy to assess the competitive behavior regarding credit risk. Study design/methodology/approach: Panel data techniques were utilized (OLS, Random and Fixed effects). We divided the sample into two periods: 2010-2019 and 2020-2021 to capture the impact of the external shock. Sample and data: The sample includes five commercial banks operating in Kuwait, with data sourced from annual reports spanning 2010 to 2021. Results: The findings support the “neutral view”, indicating that intensified competition among banks erodes banks’ franchise value and induces credit risk, as posited by the “fragility hypothesis”. Furthermore, higher concentration increases credit risk and insolvency, aligning with the too-big-to-fail and competition-stability notions (Boyd & De Nicolo, 2005; Mishkin, 2006). Notably, during the COVID-19 period, banks’ capital buffers succeeded in absorbing credit risk, nonetheless failed to diversify away from interest-income activities. Originality/value: The study contributes by examining competitive behavior and pricing strategies above marginal costs. It also explores the impact by considering a combination of bank-control variables such as banks’ capital, size, profitability, solvency, and diversification, in relation to competition dynamics and the presence of COVID-19. Research limitations/implications: These findings offer perceptions for policymakers towards dealing with the competition-stability nexus and provide a policy implication on how regulators ought to behave during financial turmoil.

Assessment of Health Values, Beliefs, Norms, and Behavior towards Consumption Intention of 3D-Bioprinted Meat.

Continuous innovation in product development further enhances consumer appeal and contributes to a more sustainable and ethical food system. This study used the health belief model (HBM) and value-belief-norm (VBN) theory to investigate the customer perceptions of and intentions towards 3D-bioprinted meat. Specifically, this study examined consumer behavior factors using higher-order partial least squares structural equation modeling (PLS-SEM). Data were collected from 738 meat consumers through online survey questions, distributed among social groups and face-to-face distribution-limiting only to respondents who are familiar with 3D-bioprinted meats. Using a filtering question, only those who are familiar with and have knowledge of the topic were considered valid respondents. Based on the results, all variables under the integrated theories were deemed significant. Consumers' perceptions of 3D-bioprinted meat are also shaped by altruism, egoism, biospheric concern, and willingness to change. The findings revealed that buyers rationally choose benefits over social or personal values. The study emphasized educating consumers, being transparent about production, and constantly innovating for higher acceptance of 3D-bioprinted meat. In order to foster consumer confidence, it is essential to prioritize transparency in the production process, encompassing information regarding sourcing and manufacturing methods. Certifications that validate safety and quality standards serve to reinforce this notion. In addition, the implementation of competitive pricing strategies has the potential to enhance the accessibility of 3D-bioprinted meat, whereas industry partnerships can aid in distribution operations and improve market visibility-all of which extend the practical implications developed for this study. Moreover, the foundation of the integrated framework promotes its extension and application outside technology-based meat production. This could also be considered and utilized among other studies on developed food and food consumption.

The Influence of Pricing Rate and Credit Procedures on Home Purchase Decisions with Purchase Intention as a Mediating Variable (Case Study of Pt. Bank Cimb Niaga Bogor Branch)

This study investigates the impact of pricing rates and credit procedures on home purchase decisions, focusing on PT Bank CIMB Niaga Bogor Branch, with purchase intention serving as a mediating variable. Through empirical analysis and discussion, several key findings emerge. Firstly, pricing rates significantly influence home purchase decisions, indicating that competitive pricing strategies attract potential buyers. Secondly, efficient credit procedures positively affect purchase decisions by facilitating smoother transaction processes for consumers. Additionally, both pricing rates and credit procedures independently contribute to enhancing purchase intention among buyers. Importantly, purchase intention plays a critical role as it mediates the relationship between pricing rates, credit procedures, and final purchase decisions. These findings underscore the interconnectedness of pricing strategies, credit facilitation, purchase intention, and actual purchase behavior in the housing finance sector, providing valuable insights for strategic decision-making in banking institutions.

Analysis of the Influence of Prices and Promotions on Consumer Behavior in Decision Making for Study Program Selection at Universitas Dhyana Pura

The study aims to analyze the influence of prices and promotions on consumer behaviour, and how consumers' behaviours influence consumer decisions in decision making choosing a study program at Universitas Dhyana Pura. The research methods used in this research are quantitative methods and associative research designs. The total sample in this study was 97 respondents. Data collection techniques are questionnaires, observations and interviews (Path analysis). Research results show that prices and promotions have a significant and positive influence on consumer behavior. Prices also have a significant positive influence on decision-making for the selection of study programmes at Universitas Dhyana Pura. Promotions have a positive but non-significant impact on the choice of study programme decisions at the University. In addition, prices and promotions have a positive and significant influence on the decision to choose a course of study through consumer behavior mediation, which suggests that competitive pricing strategies and effective promotions can influence consumers' behaviour in choosing a course at Universitas Dhyana Pura.

The effect of Green Marketing, Brand Image, Advertising and Price on Purchasing Decisions

This research aims to determine whether or not green marketing, brand image, advertising, and price influence purchasing decisions for AQUALife products. The population of this research is consumers of AQUALife products in the Central Jakarta area. The sample for this research method used a questionnaire via Gform for a month with a total of 120 respondents. The sampling technique uses a non-probability method, with a purposive sampling technique through distributing questionnaires. The data analysis methods used are multiple regression analysis, t-test (partial), and f-test (simultaneous). The research results show that: (1) Green marketing has no significant effect on purchasing decisions. (2) Brand image has a positive and significant effect on purchasing decisions. (3) Advertising has a positive and significant effect on purchasing decisions. (4) Price has a positive and significant effect on purchasing decisions. Managerial implications: Managers need to ensure products and production processes comply with environmentally friendly principles, managers need to ensure consistent brand image across all marketing channels, managers need to develop competitive pricing strategies, managers need to understand competitors' prices and their price position in the market to maintain competitiveness.

Unveiling Key Drivers to Enhance Global Customer Satisfaction

This quantitative study investigates the influence of service quality, price, and brand image on customer satisfaction at PT. Pos Indonesia Sultan Agung Magersari Sidoarjo. Using a sample of 85 respondents and multiple linear regression analysis, the research finds significant positive effects of service quality, price, and brand image on customer satisfaction. Specifically, reliability and responsiveness significantly impact service quality, competitor price significantly influences price, and uniqueness significantly affects brand image. The study underscores the importance of maintaining high service quality standards, competitive pricing strategies, and distinctive brand images to enhance customer satisfaction in the postal service industry. The findings offer practical implications for PT. Pos Indonesia, suggesting the prioritization of reliability and responsiveness in service delivery, competitive pricing strategies, and leveraging unique brand attributes for market differentiation. Future research directions include exploring additional variables and employing qualitative methods to deepen understanding and optimize customer satisfaction strategies. Highlight: Study: Service, price, brand influence postal customer satisfaction significantly. Regression: Reliability, responsiveness, competitor price, uniqueness impact customer satisfaction. Practical: Maintain reliability, competitive pricing, leverage uniqueness for customer satisfaction. Keywoed: Customer satisfaction, Service quality, Price, Brand image, Postal services

Factors Influencing Customer Decision-Making In Choosing E-Cab Services Over Traditional Taxis In Calabar Metropolis

This research study aims to investigate the factors influencing customer choices between e-cab services and traditional taxis in Calabar, focusing on service quality, operational efficiency, pricing strategies, and customer incentives. Addressing gaps in existing literature, the study explores the unique preferences and decision-making criteria of customers in the Calabar metropolis when selecting transportation services. Employing a cross-sectional, descriptive design, the research utilized a structured questionnaire to collect data from 463 adults who have used both e-cab and traditional taxi services. The questionnaire was developed by the researchers, validated by experts and trial-tested for reliability purposes. The reliability coefficient was estimated at .93 using the Cronbach alpha reliability estimate. Collected data were subjected to analysis using descriptive statistics, relative important index, independent t-test and analysis of variance. The analysis revealed that the key factors influencing customer choices in Calabar between e-cab services and traditional taxis include convenience, cleanliness, ride comfort, safety, and cost-related incentives; Customer demographics such as age, gender, and income level did not significantly influence preferences between e-cabs and taxis in Calabar and that service speed, reliability, and competitive pricing strategies play a crucial role in customer decision-making. Recommendations include prioritizing service quality, implementing competitive pricing strategies, and focusing on service speed and reliability to enhance customer satisfaction and retention.
 

Research On Laptop Price Predictive Model Based on Linear Regression, Random Forest and Xgboost

In today's rapidly evolving technological environment, the portability and versatility of laptops have led to a significant growth in their user base as well, making them essential tools for individuals and businesses alike. Particularly since the COVID-19 pandemic, the rate of Work From Home (WFH) partially or overall WFH has exceeded 30%. Global laptop shipments have also far surpassed desktop PCs so far in 2017. Accurately predicting laptop prices is beneficial for retailers to devise competitive pricing strategies and for consumers to effectively budget and select the most suitable laptops. In this study, we used a dataset of 1320 samples to investigate the significance of features in a laptop price prediction model using linear regression, random forest, and XGBoost methods. We incorporated 13 features in the modeling process, including laptop brand, type, screen size, RAM, GPU, operating system, and weight. Three mathematical models were established to predict the price of laptop. By comparing the regression model metrics RMSE and R2 under linear regression, random forest and XGBoost models, the RMSE under the XGBoost model is 294.11 with an R2 of 0.85. It is evident that the XGBoost model exhibits the smallest RMSE and the highest R2 value closest to 1. This suggests that the XGBoost model provides the highest accuracy and best fit for the predictive model.

Green Price and Purchase Intention of University Students in Plateau State, Nigeria

In today's volatile marketplace, there is a disconnect between the awareness of environmental issues and actual consumer behavior, particularly among young people like university students. Despite growing concerns about the environment, many continue to engage in unsustainable consumption practices. This is especially pronounced in Plateau State, Nigeria, where environmental challenges are significant. This study aims to understand why there's such a mismatch between green price and how students actually make purchasing decisions. It emphasizes the urgency of addressing this issue to promote more sustainable consumption habits among young people. Ultimately, the research seeks to investigate the effect of green price on purchase intention of university students in Plateau State, Nigeria. The study adopted a survey research design. The population size was 25,000 students from the two approved universities by NUC in Plateau State, Nigeria. The study utilized the Krejcie and Morgan table to determine the sample size of 417 students as respondents. Data was collected through a structured and validated questionnaire. The Cronbach's alpha reliability coefficients of constructs ranged from 0.791 to 0.981 The response rate was 93.33%. Data was analyzed using descriptive and inferential statistics. The findings revealed that green price has a significant effect on purchase intention (R = 0.413, R2 = 0.168; t =8.949, β =0.450>0.05). The study concluded that green price has a significant effect on purchase intention of university students in Plateau State, Nigeria. It is therefore recommended that businesses should consider implementing competitive pricing strategies for their eco-friendly products. Offering discounts, promotions, or incentives for purchasing green products are encouraged. This could help stimulate purchase intentions and drive sales.

A pricing optimization modelling for assisted decision making in telecommunication product-service bundling

Product service bundle (PSB) is a marketing strategy that offers attractive product-service packages with competitive pricing to ensure sustained profitability. However, designing suitable pricing for PSB is a non-trivial task that involves complex decision-making. This paper explores the significance of pricing optimization in the telecommunication industry, focusing on product-service bundling (PSB). It delves into the challenges associated with pricing PSB and highlights the transformative impact of big data analytics on decision-making for PSB strategies. The study presents a data-driven pricing optimization model tailored for designing appropriate pricing structures for product-service bundles within the telecommunication services domain. This model integrates customer preference knowledge and involves intricate decision-making processes. To demonstrate the feasibility of the proposed approach, the paper conducts a case study encompassing two design scenarios, wherein the results reveal that the model offers competitive pricing compared to existing telecommunication service providers, facilitating PSB design and decision-making. The findings from the case study indicate that the data-driven pricing optimization model can significantly aid PSB design and decision-making, leading to competitive pricing strategies that open avenues for new market exploration and ensure business sustainability. By considering both product and service features concurrently, the proposed model provides a pricing reference for optimal decision-making. The case study validates the feasibility and effectiveness of the approach within the telecommunication industry and highlights its potential for broader applications. The model's capability to generate competitive pricing strategies offers opportunities for new market exploration, ensuring business growth and adaptability.