Market Share Research Articles

Ticketmaster's Monopoly Undermines Fair Competition in Live Entertainment Ticketing

This study investigates the monopolistic control exerted by Ticketmaster, a subsidiary of Live Nation Entertainment, within the U.S. live entertainment ticketing industry, where it holds approximately 70-80% of the primary ticketing market and 50-60% of the secondary market as of 2022. Ticketmaster’s 2010 merger with Live Nation significantly bolstered its dominance, creating a vertically integrated entity that controls artist promotion, venue management, and ticket sales, thereby limiting market competition and consumer choice. Through exclusive contracts with major venues, bundled services, and dynamic pricing practices, Ticketmaster effectively stifles alternative ticketing providers and limits consumers’ ability to choose, often resulting in inflated prices and restricted access to popular events. Utilizing a multi-faceted approach that includes market share analysis, antitrust case reviews, consumer testimony, and comparative analyses with countries such as the UK, this paper underscores the challenges posed by Ticketmaster’s market concentration. Quantitative analysis, including the Herfindahl-Hirschman Index (HHI), shows post-merger concentration levels that far exceed thresholds for competitive markets, emphasizing the lack of feasible alternatives for consumers. The Taylor Swift "Eras Tour" ticketing controversy is a case in point, illustrating the consumer impact of Ticketmaster's monopoly through reported price inflation, limited availability, and repeated service failures. The paper concludes by proposing regulatory reforms to break up the Ticketmaster-Live Nation merger, cap dynamic pricing practices, and mandate transparent fee disclosures, aiming to curb anti-competitive practices and enhance consumer protections within the ticketing industry, fostering a fairer and more accessible live entertainment ecosystem.

What lies ahead? Consumer expectations and wishes for organic animal farming: analyzing improvements to boost confidence in organic livestock farming

IntroductionTo meet the policy target of increasing the share of organic farming in the EU to 25% by 2030, it is also essential to increase consumer demand for organic products. For many consumers, animal welfare is one of the main reasons to buy organics. Trust is inherently important when purchasing organic food, as most of the standards on which organic farming relies, such as more space, cannot be verified by the consumer. Consumer trust in organic animal farming is therefore an important factor in the expansion of the market share of organic products. The aim of this study is to identify specific trust-building “changes” in organic livestock husbandry to strengthen consumer trust in the long term.MethodA total of eight regulations or practices, e.g. early cow-calf separation or regulations on the use of antibiotics, were assessed in terms of consumer awareness. Further described changes to these practices or regulations were ranked regarding their potential to improve trust in organic animal husbandry.ResultsThe results show that most of the regulations and practices mentioned were not known to consumers, confirming a low level of consumer knowledge about specific aspects of organic farming. All eight possible changes would increase consumer trust, at least somewhat.DiscussionThe ranking shows that, in particular, the practice of dam rearing and an even stronger limitation of flock sizes for poultry have the highest potential to increase consumer trust in organic animal husbandry and can therefore be recommended as important strategies to meet consumer demands in the future.

Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine.

Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but serious questions remain about how to balance the promise of generative AI against unintended consequences from adoption of these tools. In this position statement, we provide recommendations on behalf of the Society of General Internal Medicine on how clinicians, technologists, and healthcare organizations can approach the use of these tools. We focus on three major domains of medical practice where clinicians and technology experts believe generative AI will have substantial immediate and long-term impacts: clinical decision-making, health systems optimization, and the patient-physician relationship. Additionally, we highlight our most important generative AI ethics and equity considerations for these stakeholders. For clinicians, we recommend approaching generative AI similarly to other important biomedical advancements, critically appraising its evidence and utility and incorporating it thoughtfully into practice. For technologists developing generative AI for healthcare applications, we recommend a major frameshift in thinking away from the expectation that clinicians will "supervise" generative AI. Rather, these organizations and individuals should hold themselves and their technologies to the same set of high standards expected of the clinical workforce and strive to design high-performing, well-studied tools that improve care and foster the therapeutic relationship, not simply those that improve efficiency or market share. We further recommend deep and ongoing partnerships with clinicians and patients as necessary collaborators in this work. And for healthcare organizations, we recommend pursuing a combination of both incremental and transformative change with generative AI, directing resources toward both endeavors, and avoiding the urge to rapidly displace the human clinical workforce with generative AI. We affirm that the practice of medicine remains a fundamentally human endeavor which should be enhanced by technology, not displaced by it.

Modeling and application of maintenance activities in a multi-site company

In an environment where competition is increasingly fierce, companies are constantly looking for new solutions to keep their market share, meet their increasingly demanding customers, and meet the needs of their staff. Companies must develop new innovative products not only of good quality and minimum cost, but also they must meet new constraints, particularly those related to respect for the environment and health / safety. This work is part of the implementation of a maintenance structure in a multi-site production company, with fixed complex homogeneous machines. These machines require, for level 4 and 5 maintenance activities, very expensive mobile specific tools and maintenance characterized by activities with a great variability of tasks in nature, specificity and duration, thus affecting the five maintenance levels. This involves the intervention of technicians of various qualifications and skills, resulting in various hourly labor costs. It is then a question of dimensioning the resources by balancing the loads, by assigning to each level of maintenance a corresponding level of competence. This article concerns the modeling of the activities of this type of maintenance, by proposing a Local Maintenance Workshop (LMW) equipped with a set of mobile tools. The goal is to minimize the cost of maintenance and improve availability.

Unit commitment in solar‐based integrated energy distribution systems with electrical, thermal and natural gas flexibilities: Application of information gap decision theory

AbstractThe depleting oil reserves, air pollution and increasing energy demand, have overturned the focus of the scientific community to renewable energy sources. Among which the photovoltaic (PV) systems occupy more than half of the market share and are generally installed at the distribution level. The volatile and uncertain nature of these PV productions necessitates flexible resources in energy systems. To this end, the district heating systems have an outstanding flexibility on account of their high thermal inertia. This study investigates the optimal unit commitment scheduling for gas‐fired and non‐gas‐fired distributed generation units (NGU) in an integrated energy distribution system (IEDS) within the physical constraints of the electrical, natural gas and thermal energy distribution networks. Moreover, a planning‐based optimization framework is proposed to investigate the investment of battery storage systems in the electric distribution network under the high penetration of PV systems with the aim of enhancing flexibility and reducing the operating costs of the IEDS. In this framework, the information gap decision theory is deployed under risk‐averse and risk‐seeker strategies to deal with uncertain PV energy production. Additionally, the environmental emissions are considered in a multi‐objective approach. The IEDS is embodied through IEEE 33‐bus EDS, 20‐node natural gas network and an 8‐node district heating systems. Eventually, The proposed approach makes a noteworthy contribution to the advancement of solar energy systems in IEDS.

Financial Performance Evaluation using Financial Distress models with reference to Dabur India Ltd

The global FMCG business is expected to reach close to $15000 billion by 2025 in the current era of e-commerce. Accordingly, FMCG is identified as the fourth-largest sector in India. One of the top businesses in India is Dabur India Ltd. As a result, we tried to evaluate the financial patterns and performance during the previous ten years. The main objective of this study is to assess the financial positions with respect to profitability, solvency, liquidity, etc. For the study, the ratio analysis techniques are employed and Financial Distress of Dabur India Ltd is analysed by Altman's Z-Score Model and Zmijewski Model. The study's overall conclusion unequivocally shows that Dabur is benefiting from positive financial performance across the board. This could assist Dabur India in maintaining a strong market share and a leading position in the FMCG industry.

EMPOWERMENT OF THE IMPORTANCE OF DIGITALIZATION ADAPTATION OF UMKM 'MANISAN MANGGO' IN CEMPAKA VILLAGE, TALUN DISTRICT, CIREBON REGENCY, WEST JAVA, INDONESIA

Cempaka Village is one of the villages located in Talun District, Cirebon Regency. The livelihood of the people of Cempaka Village is mostly to become laborers and farmers. However, there are also businesses such as grocery stores, street vendors, and home-based businesses. UMKM in Cempaka Village, Talun Regency itself show significant potential for the local economy. Candied mango is one of the products made by the people of Cempaka Village which is fairly capable of producing in large quantities and already has a fairly wide market share. However, in this case, mango candied UMKM still use conventional marketing which makes less widespread information and has not maximized the development of the digital era. One of the efforts made is to empower the importance of digitalization in mango candied UMKM in Cempaka village, namely by expanding access to information and marketing through making points on Google Maps and E-Commerce with the aim of increasing the marketing competitiveness of mango candied products.

Commercial insurers' market power and hospital prices in Medicaid managed care.

To examine the relationship between insurers' commercial market power and negotiated prices in Medicaid Managed Care (MMC) plans for hospital care. MMC prices from hospital-disclosed price transparency data as of July 2023 compiled by Turquoise Health, insurance enrollment information from the 2021 Clarivate InterStudy enrollment data. Log-transformed linear regression with hospital and procedure fixed effects estimating the within-hospital MMC price variation as a function of insurers' commercial market share quartile and MMC market share for 15 common outpatient hospital services. A total of 39,049 MMC price samples measured at hospital-procedure-MMC insurer level are merged with county-insurer level market share data. Around 25% of price variation in MMC plans are driven by within-hospital factors. Compared with MMC insurers from the lowest commercial market share quartile (<0.8%), those from the highest commercial market share quartile (>17%) are associated with negotiating 4.6% (95% confidence interval: [2.8%-6.4%], p < 0.001) lower MMC prices for outpatient hospital care, including 3.6% (p < 0.05) for medical/surgical procedures, 3.6% (p < 0.01) for radiology, and 6.7% (p < 0.001) for emergency department visits. MMC insurers with substantial commercial market share negotiate lower MMC prices for multiple outpatient hospital services.

Using Visual Basic for Applications to Implement Markov Analysis in Market Share Forecasting

Objective: This paper is an examination of the use of Markov analysis in market share prediction, and the use of Visual Basic for Applications (VBA) to increase the speed and precision of the computation and model. Theoretical Framework: The Markov analysis, used to predict future states from current transitions, sheds light on the consumer behavior and brand loyalty dynamics With VBA, the data processing can be automated, and transition matrices built that are dynamic, so that forecasts can be updated in real time. Method: Markov analysis is based on transition matrices, which define the probabilities of transitioning from one state to another. These matrices are then used to predict long term probabilities by raising the transition matrix to some power that is equal to the number of future steps being studied. Results and Discussion: By utilizing Visual Basic for Applications (VBA), the study facilitates the swift creation of transition matrices and enables real-time modifications in response to new data. This implies that with the use of VBA and Markov analysis, not only is the forecasting process made easier, but also more accurate predictions are made, and for that reason VBA should be one of the tools that any firm looking to maximize its market share strategies should employ. Research Implications: This capability results in a more flexible and responsive forecasting instrument, enhancing the overall adaptability of market share predictions. Originality/Value: The originality of this research is found in its innovative methodological framework that builds upon conventional Markov analysis.

The Analysis of Applied Innovative Mechatronics Technology in Intelligent Driving - A Case Study of New-Energy Vehicles' Development in Mainland China

Abstract. The interdisciplinary field of mechatronics, which amalgamates elements of mechanical, electrical, computer, and control engineering, has fundamentally transformed the automotive industry. This transformative influence is evident in the development of advanced vehicular functionalities such as Automatic Fuel Filling Systems, Car Attitude Control, Antilock Brake Systems (ABS), and Electronic Stability Programs (ESP), as well as in the advent of vehicles equipped with semi-active suspensions. The integration of mechatronics has not only enhanced vehicle safety, efficiency, and performance but has also positioned itself as a cornerstone for the burgeoning electric vehicle (EV) market, particularly in China. Chinese companies, leveraging extensive smart factory and automation technologies, have consequently secured a dominant stance in the global EV landscape, capturing a staggering 60% market share. This paper explores the multifaceted applications of mechatronics in the automobile industry of industrialized nations, with a special focus on its pivotal role in China's technological ascendancy in automotive manufacturing. Through an exploration of practical applications including IoT integration and collaborative robotics, this study underscores the transformative potential of mechatronics in redefining automotive production and operation, propelling the industry toward unprecedented levels of innovation and efficiency.

Dell Technologies: Public to Private and Back to Public

The case study discusses the buyout strategy of Dell Inc. Dell Inc. was a market leader in PCs in the early 2000s. Due to a substantial change in technology, the market share of PCs declined significantly, and Dell missed opportunities and recorded a decline in sales of over 10% from November 2012 to January 2013 due to a fall in shipments. After analysing the complex circumstances, Mr Michael Dell, CEO and Chairman of Dell Inc., decided to convert the publicly traded company into a private company in 2013 through a buyout deal. On 28 December 2018, Dell was again listed on the New York Stock Exchange for trading through a tracking stock strategy. The case study deals with several ups and downs of the company and also provides a platform to discuss the various benefits of buyouts.

Competitive Landscape and Strategic Adjustments of CHAGEE's Market Share

In today's rapidly changing consumer market, the tea beverage industry has captivated a wide audience with its unique charm, becoming a focal point for numerous investors. Among these, CHAGEE has swiftly captured the market with its distinct brand positioning, extensive product line, and superior quality control, quickly becoming a favorite among consumers. Recently, CHAGEE has been particularly prominent. On April 26, 2024, Zheng Qinwen was signed as the "Health Ambassador," and shortly after, Zheng won a gold medal at the Olympics, bringing honor to the country. This remarkable synergy has thrust CHAGEE into the spotlight. As a dark horse in the new-style tea beverage track, CHAGEE has garnered significant attention from younger consumers. By September 2024, CHAGEE had expanded to over 5,500 stores. In 2024, CHAGEE aims to surpass Starbucks China in sales volume. Thus, maintaining a leading position in fierce market competition and further increasing market share are crucial challenges for CHAGEE.

NEV Marketing Strategy – Take Xiaomi Automobile as An Example

The Xiaomi SU7 has emerged as one of the most renowned technological products over the past few months. Xiaomi's success is not only confined to the digital realm; it has also achieved significant market penetration. This is undoubtedly attributed to Xiaomi's strategic approach; however, there seems to be a dearth of analysis pertaining to these strategies and recommendations. Therefore, through the perusal of relevant documents, this paper aims to elucidate how Xiaomi has captured the market and summarize the potential lessons they could learn from companies such as Tesla. The research reveals that Xiaomi excels in leveraging its fan base while employing a scarcity marketing strategy. Another noteworthy aspect is Xiaomi's maintenance of a favorable reputation. These strategies have enabled Xiaomi to swiftly acquire market share. Nevertheless, the Xiaomi SU7 still exhibits certain shortcomings, particularly in terms of its technology. To mitigate this, Xiaomi needs to persist in investing in technological advancements and capitalize on its strengths.

Analysis of the Role of Digital Marketing in the Development of Micro, Small and Medium Enterprises (MSMEs) in Cibinong District

This study aims to analyze the role of digital development marketing in supporting the growth of Micro, Small, and Medium Enterprises (MSMEs) in Cibinong District. Along with the increasing internet penetration and use of social media, digital marketing has become a strategic tool to increase market reach and competitiveness of MSMEs. The research method used is descriptive qualitative, with data collection through interviews, observations, and literature studies. The results of the study indicate that MSMEs that implement digital marketing are able to increase sales, expand market share, and strengthen product branding. However, there are still obstacles in the form of a lack of digital knowledge and access to technology, especially among micro-scale MSMEs. Therefore, support is needed from the government and related institutions to improve digital literacy and provide infrastructure that supports the development of digital marketing in this region. Overall, the role of digital marketing for MSMEs in Cibinong District is very significant in increasing competitiveness, efficiency, and market reach. However, to maximize this potential, collaborative efforts are needed between MSME actors, the government, and technology service providers so that existing challenges can be overcome properly. This study is expected to be a reference for the development of effective digital marketing strategies for MSMEs in Cibinong District.

Study on the Impact of Entrepreneurship on Enterprise Performance in the Manufacturing Industry

Purpose: The study aims to explore the impact of entrepreneurship on the performance of manufacturing enterprises in China, focusing on specific traits of entrepreneurship such as innovation, risk-taking, and competitiveness. Additionally, it examines the relationship between entrepreneurship and regional economic growth, with an emphasis on how entrepreneurship drives enterprise performance, particularly in economically underdeveloped regions. Approach/Methodology/Design: The research uses empirical analysis based on sample data from listed manufacturing companies on China’s Shanghai and Shenzhen A-share markets. It employs regression models to assess the impact of entrepreneurship on enterprise performance. Indicators such as R&amp;D investment, market share, and firm size serve as proxies for entrepreneurship traits, while principal component analysis is used to calculate scores for both entrepreneurship and enterprise performance. Control variables include regional economy and leadership structure. Sub-regional analysis is conducted to compare the impact of entrepreneurship across different economic regions. Findings: The results show that entrepreneurship, innovation spirit, risk-taking spirit, and competitive spirit all have significant positive impacts on enterprise performance. Additionally, in different economic regions, entrepreneurship generally has a positive impact on enterprise performance, with a greater effect observed in areas with lower economic development. Practical Implications: The study provides valuable insights for enterprises and policymakers. It suggests that enterprises can enhance their competitiveness by fostering entrepreneurial traits, increasing R&amp;D investment, and efficiently managing financial leverage. Furthermore, governments should support entrepreneurship in underdeveloped regions through training and policy measures to stimulate regional economic growth. Originality/value: This study constructs a unique evaluation system for entrepreneurship from a micro perspective and verifies its positive impact on enterprise performance. This study innovatively explores the differential impact of entrepreneurship across various economic regions, providing new perspectives for future research on the relationship between regional economies and entrepreneurship.

Sustainability strategies: A proposal for food sector SMEs, based on the integration of life cycle assessment and ESG strategies

The significant climate change the planet has faced in recent decades has prompted global leaders, policymakers, business leaders, environmentalists, academics, and scientists from around the world to unite their efforts since 1987 around sustainable development. This development not only promotes economic sustainability but also environmental, social, and corporate sustainability, where clean production, responsible consumption, and sustainable infrastructures prevail. In this context, the present article aims to propose a development framework for sustainability in food sector SMEs, which includes Life Cycle Assessment (LCA) and the integration of Environmental, Social, and Governance (ESG) strategies as key elements to reduce CO2 emissions and improve operational efficiency. The methodology includes a comparative analysis of strategies implemented between 2019 and 2023, supported by quantitative data showing a 20% reduction in operating costs, a 10% increase in market share, and a 25% increase in productivity for companies that adopted clean technologies. This study offers a significant contribution to the field of corporate sustainability, providing a model that is adaptable and applicable across different regions, enhancing innovation and business resilience in a global context that requires collective efforts to achieve the sustainable development goals.

The rich get richer: Derivative revenue as a catalyst for bike-sharing subscription services

By leveraging the derived revenue from subscription services, our study investigates the feasibility of shared bicycle platforms using pricing strategies for these services to enhance their market competitiveness. We establish that, in scenarios where platforms set prices independently, the derived revenue can effectively counterbalance the potential deficits stemming from service expenditures. In a market dominated by exclusive subscription services, an overemphasis on the locking effects can precipitate a mutually detrimental outcome. In a non-exclusive context, the substantial derived revenue can engender a Matthew Effect. Platforms endowed with elevated availability rates are positioned to perpetuate the expansion of their inherent advantages, progressively eroding the market share of their counterparts with diminished availability rates through strategic encroachment. Additionally, we elucidate the strategic dynamics within a competitive platform landscape, underscoring the imperative for platforms to meticulously evaluate their derived revenue scale and devise strategic choices that resonate with their distinctive advantages.

Purification of Li2CO3 Obtained through Pyrometallurgical Treatment of NMC Black Mass from Electric Vehicle Batteries.

The recycling of lithium batteries is essential for a sustainable energy transition. However, impurities in the products obtained from the black mass can lower their market value. In this work, lithium carbonate, which has the highest market share among lithium-based products, is purified using distilled water at controlled temperature, time and stirring speed. The purification process involves dissolving lithium carbonate in distilled water at low temperatures (between 0 and 10 °C), followed by crystallization through water evaporation. Optimal conditions yielded lithium carbonate with a purity of 99.66 % after two stages of purification. The dependence of the variables on the final purity was deeply analyzed and the thermodynamics of the reaction was studied, confirming the exothermic nature of the dissolution reaction.

Sustainable Operations of Online and Offline Restaurants: Focusing on Multi-Brand Restaurants

This study investigates the sustainable operations of a multi-brand restaurant that adopts multiple brands in a store, unlike a typical restaurant that operates only a single brand. We introduce five restaurant operation models, including three traditional single-brand ones (offline, online, and multi-channel) and two recent multi-brand restaurants with a single fixed franchise fee and multiple franchise fees proportional to the number of brands. We then investigate the performance of the models in the changing market and cost environments. Through analytical and numerical analyses, we reveal that adopting a multi-brand restaurant does not always guarantee superior profit performance. Such an adoption is recommended under certain conditions, such as when the potential market base is large, consumers are not very price-sensitive, food and delivery costs are low, an increase in food items does not significantly impact process inefficiency, franchise fees are low, or the relative market power of multiple brands is strong. Otherwise, adopting the traditional single-brand restaurant would guarantee better profit performance. Therefore, for a sustainable multi-brand restaurant adoption, it is important to create a business environment that can lower food prices, and a thorough understanding of the decision dynamics related to the number of brands is required.

Consumer Satisfaction Benchmarking Analysis Using Group Decision Support System (GDSS) PROMETHEE Methodology in a GIS Environment

In today’s competitive environment, multi-branch companies allocate their stores with the aim of expanding their territorial coverage to attract new customers and increase their market share. Consumer satisfaction surveys either produce global performance results or they are not able to differentiate consumer perceptions using location analytics. This research develops a novel framework to assist multi-branch companies in mapping the consumer satisfaction performance of their stores, expanding conventional customer relationship management to the spatial context. The framework developed proposes a decision model that combines the Group Decision Support extension of the PROMETHEE and CRITIC methods in a GIS environment to generate satisfaction performance mappings. The developed decision-making framework converts consumer responses into satisfaction performance maps, allowing the company’s stores and their competitors to be evaluated. Moreover, it provides insight into the potential opportunities and threats for each store. The performance of the proposed framework is highlighted through a case study involving a multi-branch coffeehouse company in a Greek city. Finally, a tool developed to assist the computational part of the framework is presented.