Market Penetration Research Articles

SWOT Analysis Based on A Marketing Mix to Optimize Marketing Strategy Al-Qur'an Learning Services

This study aims to describe how SWOT analysis based on the marketing mix is used in Qur'anic instruction at MI Islamiyah Jombang. This research answers: 1) How does SWOT analysis based on marketing mix place the quadrant of Al-Qur'an learning? 2) How can the SWOT analysis results based on the marketing mix optimize the marketing strategy of Al-Qur'an Learning? The results showed that TPQ Al-Ichsany became part of the business unit strategy managed by MI Islamiyah Jombang to serve Qur'anic learning. The analysis of the total IFAS score for strengths is 3.025, and for weaknesses is 1.122. The EFAS score for opportunities is 2,392; for threats, it is 1,012. The position of Al-Qur'an learning at MI Islamiyah Jombang is in Quadrant I (+,+). Al-Qur'an learning is in excellent and steady condition. A marketing services strategy was used to support the aggressive growth policy. Intensive strategies through market penetration and market development are strategies to expand, enlarge growth, and seize maximum opportunities for the continuous progress of Qur'anic education.

Exploring Competitive Dynamics, Technological Innovations, and Sustainable Strategies for X Plant-Based Meat Health Technology Co., Ltd.

The research objectives were as follows: 1) to analyze the competitive environment of X Plant-Based Meat Health Technology Co., Ltd.; 2) to determine the technologies and innovation capabilities of X Plant-Based Meat Health Technology Co., Ltd.; and 3) to formulate sustainable strategies for X Plant-Based Meat Health Technology Co., Ltd. This research adopted qualitative research and document study. Twelve key informants, including top-level management, product development teams, head of marketing departments, and consumer groups within the company, were involved. The data analyzed the current market competition status of X Plant-Based Meat Technology Co., Ltd. using PEST, Porter’s Five Forces, and SWOT models, thus proposing sustainable development strategies. The research findings revealed that: 1) X Plant-Based Meat Health Technology Co., Ltd. operated in a competitive market driven by government initiatives and increasing environmental awareness. Challenges included intensified competition and price sensitivity. However, the company had opportunities for growth in China's expanding plant-based food sector. Success depended on strategic differentiation, technological innovation, and adaptability to evolving market trends amidst competition from diverse players; 2) X Plant-Based Meat Health Technology Co., Ltd. excelled in technology and innovation, operating eight cutting-edge soybean processing facilities and maintaining extensive non-GMO soybean fields. With over 250 patents, it was a global leader, prioritizing environmental sustainability and quality control. Its integrated supply chain, diverse product portfolio, and strategic partnerships contributed to its ongoing success and growth; and 3) X Plant-Based Meat Health Technology Co., Ltd. pursued a comprehensive strategy for sustainable growth in a competitive market. Key elements included niche market penetration, organizational excellence, channel expansion, production capacity enhancement, technical expertise development, and market protection through innovation. These strategies aimed to position the company for long-term success in the plant-based food industry.

Reliability-Based Mixed Traffic Equilibrium Problem Under Endogenous Market Penetration of Connected Autonomous Vehicles and Uncertainty in Supply

Reliability-Based Mixed Traffic Equilibrium Problem Under Endogenous Market Penetration of Connected Autonomous Vehicles and Uncertainty in Supply

Locating and sizing charging station in multi-period to promote electric vehicles adoption in urban areas

The layout of public fast charging stations (CSs) often fails to meet the charging demand of electric vehicle (EV) users, resulting in charging anxiety. To address this issue and promote the widespread use of EVs in urban areas, this paper presents a multi-period locating and sizing optimization model under dynamic demand. The model incorporates GPS trajectory extraction data to identify potential charging demand points and considers the mobile load characteristics of EVs for fusion modeling. A multi-period change formula is proposed to reflect the interaction between public fast CSs and EV market penetration, incorporating charging opportunity and waiting time satisfaction as measures of charging service quality. To solve the model, a heuristic algorithm combining genetic algorithm (GA) and k-medoids clustering algorithm is designed. We apply the model to an actual case of Shenzhen and find that increasing investment in charging infrastructure can boost EV market penetration in the later planning period. Moreover, the gap between charging opportunity and waiting time satisfaction tends to narrow as the planning progresses. Our findings highlight the importance of optimizing the location and size of public fast CSs to improve the charging service quality and promote the adoption of EVs.

Machine learning analysis of patients’ perceptions towards generic medication in Greece: a survey-based study

Introduction:This survey-based study investigates Greek patients’ perceptions and attitudes towards generic drugs, aiming to identify factors influencing the acceptance and market penetration of generics in Greece. Despite the acknowledged cost-saving potential of generic medication, skepticism among patients remains a barrier to their widespread adoption.Methods:Between February 2017 and June 2021, a mixed-methods approach was employed, combining descriptive statistics with advanced machine learning models (Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting, and XGBoost) to analyze responses from 2,617 adult participants. The study focused on optimizing these models through extensive hyperparameter tuning to predict patient willingness to switch to a generic medication.Results:The analysis revealed healthcare providers as the primary information source about generics for patients. Significant differences in perceptions were observed across demographic groups, with machine learning models successfully identifying key predictors for the acceptance of generic drugs, including patient knowledge and healthcare professional influence. The Random Forest model demonstrated the highest accuracy and was selected as the most suitable for this dataset.Discussion:The findings underscore the critical role of informed healthcare providers in influencing patient attitudes towards generics. Despite the study’s focus on Greece, the insights have broader implications for enhancing generic drug acceptance globally. Limitations include reliance on convenience sampling and self-reported data, suggesting caution in generalizing results.

THE POWER OF SACHET MARKETING: A COMPREHENSIVE EVALUATION

Sachet marketing is a strategic approach in which products are offered in small, affordable packaging to meet the needs of cost-conscious consumers. This marketing strategy aims to enhance accessibility, affordability, and convenience, particularly in emerging markets or among demographics with limited purchasing power. Sachet marketing facilitates market penetration by providing entry points for consumers to try new products with reduced financial risk. The approach involves creative packaging, often showcasing innovation in design and sustainability. While offering benefits to both consumers and sellers, such as affordability, trial opportunities, and market expansion, sachet marketing also poses considerations related to environmental impact and the need for a balanced approach to pricing and packaging. Understanding consumer preferences, economic conditions, and cultural factors is essential for successful implementation of sachet marketing strategies. KEY WORDS: affordability, convenience, Consumer preference, Cost – Effective, Environmental impact

Circular Economy Aspects of Permanent Magnet Synchronous Reluctance Machine Design for Electric Vehicle Applications: A Review

Innovative technological solutions have become increasingly critical in addressing the transportation sector’s environmental impact. Passenger vehicles present an opportunity to introduce novel drivetrain solutions that can quickly penetrate the electric vehicle market due to their shorter development time and lifetime compared to commercial vehicles. As environmental policy pressure increases and customers demand more sustainable products, shifting from a linear business approach to a circular economy model is in prospect. The new generation of economically competitive machines must be designed with a restorative intention, considering future reuse, refurbishment, remanufacture, and recycling possibilities. This review investigates the market penetration possibilities of permanent magnet-assisted synchronous reluctance machines for mini and small-segment electric vehicles, considering the urban environment and sustainability aspects of the circular economy model. When making changes to the materials used in an electric machine, it is crucial to evaluate their potential impact on efficiency while keeping the environmental impact of those materials in mind. The indirect ecological effect of the vehicle’s use phase may outweigh the reduction in manufacturing and recycling at its end-of-life. Therefore, thoroughly analysing the materials used in the design process is necessary to ensure maximum efficiency while minimising the environmental impact.

The Balanced Scorecard Approach with Customer Dimension

This study aims to evaluate the customer dimension of the balanced scorecard approach in the banking industry of Nepal and to compare the state of the balanced scorecard from the customer dimension in state-owned banks, private banks, and joint-venture banks. It employs a descriptive method of study. A questionnaire survey is used to collect data for this study. The results show that the top five elements of the customer dimension of the balancing scorecard technique are believed to be customer retention, brand image, minimum customer complaints, careful staff to provide service and customer acquisition. The important factors that follow them include sufficient staff to provide services to customers, best appearance and friendliness of staff, customer profitability, distinctive product/service attributes, increasing market share, offering social/community services, in-time customer services, satisfied customers, and skillful and competent staff. However, market penetration success is thought to be the least important factor in the customer dimension of the balanced scorecard. Therefore, to be successful, today’s financial institutions must gather information from customers, use it to create a plan that will fulfill their demands, and then put that strategy into action by being receptive to their needs and desires.

Optimization of isolated intersection signal timing and trajectory planning under mixed traffic environment: The flexible catalysis of connected and automated vehicles

With the development of connected and automated vehicles (CAVs) enables real-time interaction between intersection signals and vehicle trajectories. The full use of this technological breakthrough will help traffic managers improve the performance of intersections. Most previous research focuses on the 100% CAV environment and the single lateral or longitudinal optimization of CAVs. Based on the flexible characteristics of CAVs, this paper proposes that CAV is regarded as the catalyst of vehicle platoon in mixed traffic environment and considers the uncertainty of CAVs and CHVs’ interaction in the real-world, which can promote the generation of controllable platoon through the “catalytic” mode of cooperative, accelerated, or direct lane-changing, and cooperative or direct overtaking. Simultaneously, a two-stage optimization model of mixed traffic trajectory and signal timing is proposed. Stage I: Based on the predicted vehicle platoon information, a dynamic NEMA signal timing scheme without duplicate structures is generated to minimize vehicle delays. Stage II: Based on the timing scheme, the generation of controllable and stable platoon and vehicle trajectory optimization model are established to minimize vehicle emissions. Dynamic programming with NEMA signal groups as sub-states is designed to solve the proposed model. The performance of the proposed model under different scenarios is investigated through numerical experiments and compared with benchmark models. Results show that the proposed model will outperform the benchmark models regarding average vehicle delay and emission under more realistic traffic demands. The average vehicle delay can be reduced by 54.32% and 7.33%, and the average vehicle emissions can be reduced by 19.1% and 0.8%, respectively. Meanwhile, the sensitivity analysis of CAV market penetration shows that the proposed model can perform satisfactorily at 20% CAV market penetration. Notedly, with increased market penetration, the proposed model will obtain better performance.

Analisis Strategi Pemasaran Dengan Menggunakan Metode SWOT Dan QSPM Dalam Upaya Meningkatkan Volume Penjualan (Studi Pada Endorfin Coffee Di Kecamatan Metro Timur)

Since the beginning of the product opening sale that the selling of Endorfin Coffee have continued to decline. Furthermore, many business players in the area offer similar products with their variations which later on contribute to the high level of sale competition in Metro town itself, such as the national ones like Starbucks to local ones like Janji Jiwa. Therefore, selling Endorfin Coffee requires an appropriate and effective marketing strategy.
 This research was conducted by using a quantitative descriptive research method that aims to determine the marketing strategies applied to Endorphin Coffee in facing competition among the coffee shops around the area. (Sugiyono: 35) Quantitative research method is a research method that based on the philosophy of positivism is used to examine certain population and samples to test established hypotheses. 
 Endorfin Coffee sale goes in quadrant I position with a Grow and Built development strategy, therefore the appropriate strategies applied are Market Development, Product Development, and Market Penetration. In this position, the company indicates has a strong organization and the opportunity to recommend a progressive strategy, in which the organization is in good condition. This company should be able to see the external factors (opportunities and threats) that exist in the company to win the competition. The factors can be reached by conducting marketing effectiveness through involving the information technology in marketing and designing or making layout of the company product to make it more attractive to the costumers. The company can also penetrate the market not only for students, but also for all members of the society in and outside of the Metro town.

Advancing the white phase mobile traffic control paradigm to consider pedestrians

AbstractCurrent literature on joint optimization of intersection signal timing and connected automated vehicle (CAV) trajectory mostly focuses on vehicular movements paying no or little attention to pedestrians. This paper presents a methodology to safely incorporate pedestrians into signalized intersections with CAVs and connected human‐driven vehicles (CHVs). The movements of vehicles are controlled using both traffic lights and mobile CAV controllers during our newly introduced “white phase.” CAVs navigate platoons of CHVs through the intersection when the white phases are active. In addition to optimizing CAV trajectories, the model optimally selects the status of the traffic light signal among white and green indications for vehicular and walk and do‐not‐walk intervals for pedestrian movements. A receding horizon‐based methodology is used to capture the stochastic nature of the problem and to reduce computational complexity. The case study results show the successful operation of fleets consisting of pedestrians, CAVs, and CHVs with various demand levels through isolated intersections. The results also show that increasing the CAV market penetration rate (MPR) can decrease average intersection delay by up to 27%. Moreover, the average pedestrian, CHV, and CAV delays decrease as the CAV MPR increases and reach their minimum values with a fully CAV fleet. In addition, the presence of the white phase can decrease the intersection average delay by up to 14.7%.

Assessing temporary traffic management measures on a motorway: Lane closures vs narrow lanes for connected and autonomous vehicles in roadworks

AbstractConnected and automated vehicles (CAVs) are being developed and designed to operate on existing roads. Their safe and efficient operation during roadworks, where traffic management measures are often introduced, is crucial. Two alternative measures are commonly applied during roadworks on motorways: (i) closing one or multiple lanes (ii) narrowing one or all lanes. The former can cause delays and increased emissions, while the latter can pose safety risks. This study uses a VISSIM‐based traffic microsimulation to compare the effectiveness of these two strategies on traffic efficiency and safety, considering various market penetration rates (MPR) of CAVs. The model was calibrated and validated with the data collected from M1 motorway in the United Kingdom. Results show that average delays per vehicle‐kilometre‐travelled decreased from 102.7 to 2.5 s (with lane closure) and 23.6 to 0.6 s (with narrow lanes) with 0% and 100% CAV MPR, respectively. Moreover, safety in narrow lanes improved by 4.8 times compared to 1.5 times improvement in lane closure with a 100% CAV MPR; indicating that narrow lanes would result in better safety performance. These findings could assist transport authorities in designing temporary traffic management measure that results in better CAV performance when navigating through roadworks.

Routing Control Optimization for Autonomous Vehicles in Mixed Traffic Flow Based on Deep Reinforcement Learning

With recent technological advancements, the commercialization of autonomous vehicles (AVs) is expected to be realized soon. However, it is anticipated that a mixed traffic of AVs and human-driven vehicles (HVs) will persist for a considerable period until the Market Penetration Rate reaches 100%. During this phase, AVs and HVs will interact and coexist on the roads. Such an environment can cause unpredictable and dynamic traffic conditions due to HVs, which results in traffic problems including traffic congestion. Therefore, the routes of AVs must be controlled in a mixed traffic environment. This study proposes a multi-objective vehicle routing control method using a deep Q-network to control the driving direction at intersections in a mixed traffic environment. The objective is to distribute the traffic flow and control the routes safely and efficiently to their destination. Simulation results showed that the proposed method outperformed existing methods in terms of the driving distance, time, and waiting time of AVs, particularly in more dynamic traffic environments. Consequently, the traffic became smooth as it moved along optimal routes.

The Implementation of Bank as a Service Marketing Communication Strategy in Increasing the number of customers on blu by BCA Digital

Marketing communication activities through strategies to develop market penetration and brand positioning strategies are very significant efforts for blu by BCA Digital. blu is an all-in-one banking product that is a solution to answer the financial and non-financial needs of digital savvy through an interconnected digital ecosystem, as well as spreading brand awareness for the BCA Digital platform. This study aims to identify blu's marketing communication strategy with the implementation of public relations, marketing mix, efforts and challenges in their promotional activities. This research also seeks to find the most dominant form of blu's promotional efforts. Descriptive qualitative method is used in this study. The data collection was carried out through non-participant observation, in-depth interviews, literature review and archiving. Key informants were obtained through purposive sampling technique. Data analysis was carried out by means of data reduction, data presentation and verification. shows that blu is very dominant and active in carrying out digital promotional mixes through mobile application platforms, social media and establishing collaborative partnerships with various communities to build ecosystems. In addition, blu also has the goal of educating its multi-segment target audience to make blu's digital banking relevant to everyday life. blu launched a mobile banking application which as of December 2022, the users achieve more than 1.1 million people. This achievement could not have been separated from good collaboration and integration with fintech partners, cooperation with companies and various universities with bank as a service or blu access is installed in the partner’s applications.

Winners and losers in U.S.–China trade disputes: A dynamic compositional analysis of foreign direct investment

AbstractBackgroundThe trade conflicts between the United States and China have significantly disrupted global trade and economic growth. In today's globalized economy where the production of goods and services spans across multiple nations, these disputes have far‐reaching consequences that extend beyond the involved parties and impact the broader global economy.ObjectiveWe examine the effects of the U.S.‐China trade disputes on multinational investment patterns in China and Southeast Asia.MethodsUsing a dynamic compositional approach, we analyze data on firm‐level greenfield foreign direct investment.ResultsWe observe European firms increasing their investments in China to enhance market penetration, while American firms are withdrawing, redirecting their focus toward Southeast Asia to mitigate dependence on the Chinese market.ConclusionThis shift highlights broader international business strategy trends amid geopolitical and economic changes. The results indicate significant transformations in global supply chains, shedding light on the extensive effects of U.S.–China trade tensions on global economic equilibrium and how these tensions are reshaping international investment and supply chain dynamics.

Evaluating and enhancing the safety performance of automated longitudinal control at on-ramp merging bottleneck: A simulation study in the framework of Kerner’s three-phase traffic theory

The adaptive cruise control (ACC) system, an essential component of commercial autonomous driving that functions in longitudinal control, has attracted significant research interest because of its potential to reduce accident rates. By introducing a non-fixed headway concept, Kerner recently proposed the Three-traffic-Phase ACC (TPACC) model, which integrates a speed adaptation module derived from the three-phase traffic theory. However, the efficacy of such headway flexibility in safety performance remains underexplored. To fill this gap, this study aims to evaluate the longitudinal crash risk of TPACC at on-ramp merging bottleneck, a site where complicated traffic dynamics often constitutes concern, and to further bolster its safety performance. Specifically, simulations are conducted to evaluate the longitudinal crash risk of pure TPACC traffic as well as human-machine mixed traffic, by comparing it with a classical ACC model across various flow rates and market penetration rates. Enhancement of TPACC's safety performance is achieved through the multi-objective optimization in regard to a parameter set of the speed adaptation module. The results indicate that TPACC has the ability to weaken disturbances caused by merging vehicles and leads to a markedly decline in the longitudinal crash risk. Mixed traffic incorporating with TPACC vehicles also exhibits superior safety performance over that with the classical ACC vehicles. Furthermore, the proposed optimization measure effectively enhances TPACC’s longitudinal safety performance across a vast spectrum of penetration rates and flow rates at on-ramp merging area, all the while preserving throughput efficiency. On this basis, a guideline for directional tuning of the parameter set under conditions of limited information accuracy is provided, thereby heightening its practicality.

Willingness to Pay (WTP) for Newer Treatment Options for Diabetes: A Study Among Patients at a Tertiary Care Centre.

Introduction Type 2 diabetes mellitus (T2DM) poses a substantial burden globally and particularly in India, affecting health, finances, and overall quality of life. The management of this condition relies on lifestyle modifications and advanced pharmacological interventions, with emerging drugs showing promise in areas such as administration, side effects, efficacy, and cardiovascular benefits. However, their market penetration is hindered by high costs. Understanding the target population's expectations and willingness to pay (WTP) for these drugs is crucial. WTP, a key concept in behavioral science, reflects the maximum price consumers are willing to pay for a product, aiding in healthcare cost-effectiveness evaluations. Despite its relevance, only one WTP study has been conducted in the Indian context for diabetes. This study explores WTP for two novel drugs: oral semaglutide and icodec (weekly insulin). Material and methods This observational study, conducted in a diabetes specialty clinic and telemedicine facility in All India Institute of Medical Sciences, Bhopal, India, involved adults (18-80 years) diagnosed with T2DM. Data collection adhered to ethical guidelines, and participants provided written informed consent. Face-to-face interviews were employed to gather socio-economic, demographic, and medical details. Participants estimated their WTP for oral semaglutide and weekly insulin, considering reference ranges for existing antidiabetic treatments. Statistical analyses, including t-tests and analysis of variance, explored sociodemographic and clinical factors influencing WTP. Results Of 105 approached patients, 87 (74.3%) participated. The majority were males (55.2%) with an average age of 57.2 years. The average WTP for oral semaglutide was INR 9.35±5.66 per pill, significantly lower than its market price (INR 315). For weekly insulin (icodec), the WTP was INR 157.25±112.60 per dose. Subgroup analyses revealed no significant correlations based on sociodemographic or clinical parameters. Conclusion This study demonstrated the feasibility of WTP assessments in an Indian outpatient setting, revealing a substantial cost disparity between patients' WTP for oral semaglutide and its market price. The findings underscore the importance of considering WTP in introducing new diabetes medications in India, offering valuable insights for healthcare decision-makers and developers.

Economic and budgetary impact evaluation of isavuconazole (Cresemba®) versus voriconazole (Vfend®) for the treatment of patients with possible invasive aspergillosis from the perspective of the Brazilian supplementary health system.

This study aims to evaluate the cost-utility and the budgetary impact of isavuconazole compared to voriconazole in patients with suspected invasive aspergillosis (IA) from the perspective of the Brazilian supplementary health system (SHS). In this model, a decision tree was developed and included patients with possible IA. Efficacy parameters were extracted from the clinical studies. Drug acquisition, hospitalization costs and adverse events were also collected. Alternative 3- and 10-year time horizon scenarios were used. In addition, deterministic and probabilistic sensitivity analyses were simulated. A budget impact analysis of isavuconazole versus voriconazole was performed, assuming a time horizon of 5 years. In addition, sensitivity analyses were conducted to assess the robustness of the model. Results are reported in Brazilian Real (BRL), year values 2022. The economic analysis of the base case showed that isavuconazole is associated with a saving of 95,174.00 BRL per patient compared to voriconazole. All other simulated scenarios showed that isavuconazole is dominant versus comparators when considering a willingness to pay 40,688.00 BRL/Quality-Adjusted Life Years (QALY). The results were considered robust by the sensitivity analyses. The budget impact analysis showed that the incorporation of isavuconazole generates savings to the SHS, compared to voriconazole, of approximately 20.5 million BRL in the first year. This reaches about 54 million BRL in the fifth incorporation year, considering the market penetration of 20% in the first year, and 50% in the fifth year. Compared with voriconazole, isavuconazole is regarded as a dominant treatment strategy for patients with suspected IA and generates savings for the SHS.

Private Equity-Acquired Physician Practices And Market Penetration Increased Substantially, 2012-21.

Private equity (PE) firms have been acquiring physician practices at an increasing rate, raising concerns about such firms' penetration at the physician level into local markets and the impact on health care quality and prices. However, limited knowledge exists about the extent of PE firms' control in local markets. By linking data on PE acquisitions to physician data and using full-time-equivalent physicians as the base of assessment, we estimated the local market share of each PE firm within ten physician specialties at the Metropolitan Statistical Area (MSA) level. PE-acquired physician practice sites increased from 816 across 119 MSAs in 2012 to 5,779 across 307 MSAs in 2021. Single PE firms had significant market share, exceeding 30percent in 108 MSA specialty markets and exceeding 50percent in 50 of those markets. The findings raise concerns about competition and call for closer scrutiny by the Federal Trade Commission, state regulators, and policy makers.

Unsymmetrical Dual-Input Isolated High Gain Bidirectional DC–DC Converter With Inherent Current Sharing for Light EV Applications

In hybrid Electric Vehicles (EVs), multi-input DC-DC converters with different sources of energy storage are preferred to enhance the EV market penetration. The proposed new topology is a modified SEPIC converter with integrated boost cell, capable to handle the battery and ultracapacitor with different terminal voltage. It is also having single source transition capability. This multi-input DC-DC converter provides the high voltage gain, input-output isolation and bidirectional power flow feature. The essential of regeneration in the EV is demonstrated to achieve the better energy utilization. The current sharing between the energy storage systems (battery and ultracapacitor (UC)) is inherently provided by the topological structure of the proposed converter. Hence, it eliminates inner current control loop requirement. Accordingly, cost and control complexity is minimized with improved storage utility. Therefore, the proposed converter’s functional capabilities are suitable for battery/UC based Light EV applications. The operating performance is evaluated on a 250 W hardware prototype to validate the functional capability of the proposed converter.