Large Market Research Articles

Race, Market Size, Segregation and Subsequent Opportunities for Former NFL Head Coaches

Abstract This study examines subsequent head coach opportunities for former National Football League (NFL) head coaches. Under a subsequent CEO career framework, survival analysis is used to examine the effects of race and market characteristics on subsequent NFL head coach opportunities for former head coaches. Observations of former head coaches who neither ended their coaching careers nor possess head coach positions in the observed seasons are used (n = 1,132). Black former NFL head coaches are less likely to secure subsequent NFL head coaching opportunities if their most recent coaching position was in a large media market. However, both Black and non-Black former head coaches who most recently coached in highly segregated metropolitan areas experienced higher likelihoods of securing subsequent head coaching opportunities. This segregated market effect is even stronger for Black former head coaches. The NFL can utilize this information in policy formation decisions regarding hiring policies and practices. Teams and their lead executives can also use this information to identify any personal biases that may arise within the head coach labor market. Coaches may use the information to best position themselves for subsequent career opportunities.

International comparison of the impact of digital transformation on employment

Theoretical analysis in this paper examines the impact of digital transformation on employment and its transmission mechanisms. It proposes that regional characteristics, such as market size, industry structure, and labor structure, are important factors influencing the employment effect of digital transformation. Empirically, this paper analyzes the employment effect of digital transformation using economic panel data from 68 countries spanning the years 2013–2019 and finds that: 1) In terms of employment, digital transformation is dominated by the substitution effect. In terms of wages, digital transformation presents wage-rising effects. 2) Large market size and advanced industry structure significantly mitigate the employment substitution effect and enhance the wage-rising effect. 3) The skillization of labor structure has no significant impact on the employment substitution effect of digital transformation, but it significantly enhances the wage-raising effect. 4) Developing countries experience a more pronounced employment substitution effect from digital transformation, while developed countries witness a more prominent wage-increasing effect. The robustness of these results has been confirmed after introducing a one-period lag in the explanatory variables and utilizing instrumental variables. These findings of this paper offer valuable insights for achieving a balance between equity and efficiency in the context of digital transformation.

Why Individuals Do Not Visit a Destination? The Role of Familiarity and Novelty Seeking in Shaping Non-visitors’ Destination Image

Non-visitors constitute a large but underexplored market pool with strong potential for tourist destinations. Drawing on the mere exposure and motivation frameworks, this study explores image differences among two groups of non-visitors (i.e., uninterested, unable to visit), along with the underlying factors for such variations. Findings drawn from two studies suggest that the groups significantly differ in terms of their images, novelty, familiarity, and intentions toward a destination. For the uninterested group it is familiarity, along with cognitive and affective image that shape intentions; while novelty and familiarity are the key determinants of conative image for those who cannot visit. The study contributes to the tourism marketing literature by demonstrating clear differences on destination image and its determinants across the two groups of non-visitors. In practical terms, such knowledge proves prudent in cultivating a place’s novelty, familiarity and desirability, thereby increasing the possibility that more non-visitors turn into goers.

Exposure to superstar firms and financial distress

AbstractA few highly successful firms (“superstar firms”) have captured large market shares and earned massive profits in recent decades. We examine whether superstar firms are associated with a greater likelihood of financial distress for firms exposed to them in product markets. Building on recent research, we identify superstars as firms with the highest markups in the industry and whose industry markup share increases over time. We then measure, with product similarity scores, a firm’s overall product market exposure to superstars. We document that firms with greater exposure are more likely to file for bankruptcy. We examine why superstar exposure is associated with bankruptcy and show that firms with the greater superstar exposure exhibit weaker financial performance and greater riskiness. Furthermore, we show that the association between superstar exposure and the likelihood of bankruptcy strengthens when superstars have greater market power.

Strategies for identifying adulterated Acanthopanax senticosus using portable mass spectrometry and chemometrics

Acanthopanax senticosus is widely cultivated in China, Japan, South Korea, and Russia, and is extensively researched worldwide. Illegal activities, particularly adulteration have been fostered due to its large market demand and high price. This study successfully identifies authentic and adulterated Acanthopanax senticosus samples using a portable mass spectrometer combined with chemometrics. Different data processing and feature selection methods were evaluated for authenticity and adulteration models, with SNV-VIP being selected as the optimal method for both models. Excellent classification performance was achieved using Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), K-nearest Neighbors (KNN), Random Forest (RF), and Convolutional Neural Networks-Long Short-Term Memory-Attention (CNN-LSTM-Attention) models, with prediction accuracies for the authenticity model validation set being 1.00, 1.00, 1.00, and 1.00, respectively. The prediction accuracies for the adulteration model validation set were 0.86, 0.73, 0.89, and 0.92, respectively. Additionally, the models identified the most important ions based on variable importance. The combination of portable mass spectra (PMS) and chemometrics provides a simple, rapid, and reliable method for identifying adulteration in Acanthopanax senticosus samples. This study provides a new basis into the application of PMS for adulteration detection in the food field.

Analisis Pengaruh Program Flash Sale dan Discount Terhadap Impulsive Buying pada Generasi Milenial Pengguna Shopee

The ease with which people can access the internet and the increasing affordability of smartphones to the lower and middle classes have enabled digital technology to capture a large market share. This is demonstrated by the increasing number of unicorn startups in Indonesia, such as Shopee. Shopee is very active in utilizing online marketing strategies, especially in carrying out promotions in the form of flash sales and discounts to attract the attention of Shopee users. This research aims to evaluate the effect of flash and discount programs on impulsive buying among the millennial generation of Shopee users. The research method uses SPSS 23 analysis with a population of residents in Bumi Mutiara Indah. A sample of 86 respondents was taken using the Slovin formula (10% error rate). The research results show that flash sale and discount programs significantly influence impulse purchases.

Farmers’ Perception and Financial Profitability of Mustard Production in Bangladesh

The study was undertaken to assess farmers’ perception and explore the factors affecting farmers’ decision to adopt mustard production along with estimate financial profitability and identify potentials and problems of mustard production. Based on stratified random sampling, 120 farmers were interviewed using a structured questionnaire to collect primary data from different villages of Ullahpara upazila under Sirajganj district of Bangladesh. A combination of descriptive statistics, mathematical and statistical technique was used to analyze the data and to achieve the objectives. The study depicts that the highest number of the respondents (35%) belong to the 31-45 age group. Seventy two percent respondents were small farmers having land less than 1.0 hectare and they allocated 34% of their farm area for mustard production. Financial profitability analysis shows that mustard production was profitable on both variable cost and total cost basis and its benefit cost ratio (BCR) was more than one. In case of farmers perception, it was revealed that short duration crop, consumers’ preferences, product price, extension services and sharing of work among household members were the main driving factors for mustard production. Applying dichotomous logistic regression model, four factors namely, farmers’ age, number of family members, experience and farm size were found as significant determinants of adoption of mustard production. Large domestic market, limited use of high-yielding varieties, growing demand for mustard oil and attack of pests and diseases were found as important strength, weakness, opportunities and threats of mustard production, respectively. Finally, the study recommends that there are ample opportunities to enhance mustard production by ensuring access to quality seeds, adopting new technologies, securing fair prices, providing input subsidies, and improving institutional credit facilities with favorable terms and conditions. Bangladesh J. Nuclear Agric, 38(1): 65-80, 2024

ANALISIS PENGENDALIAN BAHAN BAKU BATU BATA PRESS MENGGUNAKAN METODE MATERIAL REQUIREMENT PLANNING (MRP)

Bata Merah Press Majalengka was founded in 2012, which was previously called CBL Bata Merah. At that time the production system still used manual production. As time goes by and in line with the large market demand and considering the continuous development in Majalengka, to support this large demand, in 2016 the business actor changed the manual production system to production using a press machine and changed the name of the business to `Bata Merah Press Majalengka. The goal to be achieved in this research is to understand the variables used in raw material inventory planning using the MRP method, applying the Material requirements planning (MRP) method.

Fast-airflow tumble clothes dryer with small thermoelectric heat pump: Experimental evaluation

Residential clothes drying accounts for about 5 % of the total residential-sector energy consumption in the United States. Most dryers use electric resistance heaters to dry clothes and have low efficiencies. Higher-efficiency dryers that use vapor compression heat pumps are expensive and complex and have not gained a large market share in the United States. A novel tumble clothes dryer using a small thermoelectric heat pump with faster airflow than typical dryers is presented in this work. The benchtop performance of the thermoelectric heat pump and high-speed blower are presented, and the development of the prototype dryer is described. The dryer was tested for efficiency and dry time for a range of airflow rates and applied currents to the thermoelectric heat pump. The combined efficiency factor was 5.09–6.29 lbBDW/kWh (specific moisture extraction rate of 1.23–1.53 kgw/kWh) with 100–138 min dry times for these tests. The measured efficiency was 36 %–68 % greater than the minimum efficiency standard in the United States, and compared with vapor compression heat pump–based clothes dryers, the prototype dryer had less expensive, less complex components and did not use refrigerants. The performance of this small thermoelectric heat pump clothes dryer is also compared with previous iterations of the thermoelectric tumble clothes dryer described in the literature.

Lightweighting cost impacts on market adoption and GHG emissions in U.S. light-duty vehicle fleet

Abstract Vehicle lightweighting is a promising strategy that can reduce energy consumption and GHG emissions without compromising vehicle’s performance or size. The cost of lightweighting plays a critical role in determining the adoption of lightweighting technologies by consumers and manufacturers among advanced vehicle technologies. This analysis estimates the cost of lightweighting needed to achieve significant light-duty vehicle adoption to provide reductions in use-phase GHG emissions. Three different costs of lightweighting scenarios in the U.S. market including a baseline scenario, advanced technology scenario, and widespread scenario are evaluated employing Automotive Deployment Options Projection Tool (ADOPT) in conjunction with other technology improvement assumptions (e.g., advancements in fuel and battery technologies, and material price reductions) from DOE. ADOPT leverages a database of over 700 existing vehicle models and options, enabling it to provide a high degree of realism and capture the unique characteristics of popular vehicles and the endogenously evolvement of the vehicle options. For baseline scenario, the use-phase GHG emissions are reduced by more than 50% and lightweighting fraction reaches 15% by 2046 compared to 2015 levels. The widespread scenario further reduces the GHG emissions by about 4% from the additional 10% glider mass reduction compared to the baseline scenario. The benefit came largely from lightweighting being implemented in the large market segment of lower-price vehicles, due to the relatively low lightweighting cost ($5/kg).

Density Functional Theory (DFT) Study on the Nontoxic Alternative of Bisphenol A (BPA) Derivatives: A Comprehensive Review

AbstractBisphenol A is an oil‐derived, large market volume chemical with a wide spectrum of applications in plastics, adhesives, and thermal papers. However, bisphenol A and its derivative are not considered safe due to its endocrine disrupting properties and reproductive toxicity. A nontoxic alternative of bisphenol analogus has been proposed in this study using plant biomass. A study of different DFT‐based QSAR approaches has been done to show the significance of the conceptual DFT‐based selected descriptors with different QSAR models in the prediction of toxicity and to establish meaningful correlations between the molecular structure of the proposed compounds and their toxicological properties. Multiple regression analysis and ANN model are also suggested to use to relate the biological activity with the global and local reactivity descriptors.

Maintaining Business During Covid-19 Pandemic Through Social Media: A Content Analysis of Indonesian Football Club Instagram Account

Indonesia has become the largest football industry with a huge fan base. Football continues to become a profitable brand and generates extraordinary profits, considering that football has a wide and large market share. As a brand, many football clubs have realized the power of branding in marketing clubs outside the club's local market through branding strategies carried out into content on social media. Currently, social media has become a popular and effective new media in the branding strategy of a football club. Their Instagram account has gained millions of followers in recent years, creating an effective medium for sales and promotion. Many Indonesian big brands agree to sponsor the club as a way to promote their products as well. However, the global pandemic hit from March 2020 to August 2021, and there was a long hiatus for football matches, considering the branding activity of a football club is very dependent on the passing of matches in a competition. Football matches become the 'main product' that attracts the attention of fans and sponsors. Due to this catastrophe, how can football clubs in Indonesia maintain business during the COVID-19 pandemic through Instagram content? Using a semi-structured interview with internal parties of a big football club in Indonesia, this study generates some practical summaries and implications on how to maintain business during the COVID-19 pandemic. The result shows the significant influence of the COVID-19 pandemic on the content analysis of the Football Club in Indonesia through Instagram. Keywords: COVID-19, football, content analysis, social media, Instagram.

PENGARUH KOMPETISI BANK TERHADAP STABILITAS SISTEM KEUANGAN PERBANKAN (STUDI KASUS PADA KBMI IV TAHUN 2019-2022)

The emergence of banking as an intermediary institution plays a very important role in the economy because it is the heart that must pump "money" and distribute it to all organs that need the money. Therefore, it is very important to maintain the stability of the banking financial system. The development of the banking system can trigger competition in the banking industry which can affect banking stability. This research was conducted to determine the effect of bank competition on the stability of the banking financial system. This research focuses on KBMI 4 data which is a large bank HHI index, market share and Loan to Deposit Ratio (LDR) used as a proxy for competition and Non-Performing Loans (NPL) as a proxy for banking financial stability. The analysis technique used is Panel Data Regression with KBMI 4th ​​quarter data for 2019-2022. Of these three variables, the HHI index and Loan to Deposit Ratio (LDR) variables have a significant effect on Non-Performing Loans (NPL). Meanwhile, the market share variable has no significant effect on Non-Performing Loans (NPL).

The development of the life insurance market and bank stability in developing countries

This study investigates the relationship between the development of the life insurance market and bank stability within the context of developing countries. We used data from 2012 to 2020 across 108 developing countries and applied econometric techniques, including fixed-effect and system generalized method of moments (GMM) methods, to test the relationship between the life insurance market size, life insurance market growth, and bank stability at the country level. Our results indicate a positive relationship between life insurance market size and bank stability, i.e., a large life insurance market can help increase bank stability in developing countries. However, these countries should refrain from developing their life insurance markets too quickly; according to our empirical results, there is an inverted U-shaped relationship between life insurance market growth and bank stability. In the context of the growing life insurance market in developing countries as well as the increasing cooperation between banks and insurance companies towards expanding the life insurance market in these countries, our research provides important policy implications for ensuring the stability for financial markets in general.

Implementing B-BBEE: Leader Experiences in the South African Banking Industry

Orientation: Large banking institutions in South Africa remain complex organisations facing a myriad of challenges as they navigate the Fifth Industrial Revolution (5IR) and strive to remain relevant. A significant challenge relates to how these organisations can utilise Broad-Based Black Economic Empowerment (B-BBEE) to create diverse and inclusive teams for organisational success and sustainability.Research purpose: To explore the experiences and sense-making processes of senior leaders tasked with the implementation of affirmative action as part of a B-BBEE strategy as they navigate this responsibility within a South African bank.Motivation for the study: To shine on the complex experiences of senior leaders tasked with implementing affirmative action within a B-BBEE strategy in a large financial institution.Research approach/design and method: A qualitative interpretivist case study was applied to explore senior leaders’ negotiation of their perceptions and experiences of leading the implementation of B-BBEE in a large bank. Ten semi-structured interviews were utilised as the main data generation tool.Main findings: Study reveals how senior leaders hold strong convictions about the value of diversity and inclusion in the workplace. This included the continued necessity for legislation such as B-BBEE given South Africa’s racial history and existing personal biases that impact workplace diversity and inclusion. The study further reveals that senior leaders believe that B-BBEE is poorly implemented and attribute this to the tension leaders experience between diversity and performance, a lack of organisational policies and practices required to hold leaders accountable for B-BBEE implementation and leaders who lack the skills and expertise required to successfully create diverse and inclusive work environments.Practical/managerial implications: Positive contributions to diversity and inclusion policies and practices, leadership development and transformation of the banking organisations in South Africa and the industry at large.Contribution/value-add: Banking institutions as large market players can play a significant role in leading workplace transformation through improved implementation of diversity and inclusion legislation and principles within B-BBEE.

Recycling of Spent Lithium Iron Phosphate Cathodes: Challenges and Progress.

The number of spent lithium iron phosphate (LiFePO4, LFP) batteries will increase sharply in the next few years, owing to their large market share and development potential. Therefore, recycling of spent LFP batteries is necessary and urgent from both resource utilization and environmental protection standpoints. In this review, the significance of pretreatment for LFP recycling is first underscored, and its technical challenges and recent advancements are presented. Following that, the current recycling methods for spent LFP cathodes are outlined in terms of the respective treating processes, advantages, and disadvantages. Additionally, the preparation methods of LFP cathode material are reviewed to guide the resynthesis of LFP that uses salts obtained from spent LFP, which are beneficial for closed-loop recycling of LFP batteries. Lastly, we explore the future development direction of spent LFP battery recycling, highlighting the importance of technological innovation to advance the sustainable growth of the LFP battery industry.

Based on Gated Recurrent network analysis of advanced manufacturing cluster and unified large market to promote regional economic development

This study evaluates the catalytic effects of advanced manufacturing industry clusters and unified large markets on regional economic development from a computer science perspective, revealing their underlying mechanisms. It employs a Gated Recurrent Network (GRN) model optimized with Gradient Boosting Decision Tree (GBDT) technology to conduct empirical analysis through comprehensive data collection and analysis. The primary objectives are to assess these catalytic effects, highlight the importance of innovation and environmental indicators, determine the contribution levels of various factors, and test the computational fit and predictive accuracy of the model. Key findings indicate that the GBDT-GRN model demonstrates a significant improvement in data computation accuracy, ranging from 20% to 52%, and an increase in response time by 23% to 52%. The model achieves a computational fit of 92% to 99% when analyzing regional economic development. The proposed GBDT-GRN model is highly accurate and reliable in evaluating catalytic effects, providing strong support for policy-making and business decision-making. Innovation and environmental indicators play a crucial role, with varying contributions from different factors. This study offers an effective solution for sequence data prediction problems, supports policy-making and business decisions, and points to promising directions for future research.

Advancing plant-based meat analogs: Composite blend of pulse protein reinforcing structure with fibrous mushroom, jackfruit seed powder and carboxymethyl cellulose.

In this study, Indian pulse proteins from cowpeas, yellow peas, green gram, and horse gram were used to create plant-based meatball analogs. The nutritional composition, molecular functional groups, color, and texture of meatball analogs T1, T2, and T3 and mutton meatballs were thoroughly analyzed. T1 had highest protein (51%) compared to control (19%), T2 (45%), and T3 (36%), but fiber content (1.26%) was less in T1 compared to control (2.86%), T2 (3.33%), and T3 (3.49%). The more is fibrous raw materials; lower will be the hardness of meat analogs. T1 had consistent fracturability, hardness, cohesiveness, and adhesiveness, and was superior in springiness, gumminess, resilience, and chewiness compared to T2, T3, and control. Sensory evaluation results reported that T1 was more consistent with control sample in terms of color, texture, juiciness, and overall acceptability and no significant difference was reported among the two (p > .05). The L* and b* values of T1 were more consistent with control compared to other two. Potato starch, salt, spice mix, coriander leaves, beet root pulp, jackfruit seed powder, rose water, carboxy methyl cellulose and rehydrated mushrooms showed a positive impact on sensory and textural attributes. The Fourier transform infrared (FTIR) spectra revealed that the protein fractions were not affected by the processing conditions. FTIR results confirm the presence of secondary structural components such as α-helix, β-sheet, and β-turn. The interaction between the starchy fibrous material and protein fractions were identified clearly via FTIR. The T1 meat analog was superior in terms of color, organoleptic and textural properties compared to T2 and T3 and more close to mutton meatballs. These results will open up the new horizons in this area and pave the way for the large production and marketing of plant based meat analogs, which will reduces the health and sustainable raising issues from consumption of mutton meat.

Using Porter's Strategic Model to Promote Sustainable Marketing In Light Of Behavioral Finance (An Analytical Study Of A Sample Of Small And Medium Enterprises In Najaf Governorate)

This paper determines the suitability of companies' activities that can contribute to enhancing their performance and achieving a large market share, especially in the field of diversifying funding sources. The purpose of this paper was to idintify the impact of Porter's five forces on enhancing sustainable marketing for the research sample companies. The paper was designed in light of adopting the descriptive analytical approach for the research variables and collecting data and information through the questionnaire tool distributed to the research sample companies. And using statistical analysis to reach the results, the study sample amounted to (21) companies operating in the field of tourism and travel. The results of the paper showed that there is a threat from new entrants in the tourism industry due to the presence of many competing companies. Companies had to develop a strategy on how to attract and retain customers to avoid switching from one company to another by using Porter's model to promote sustainable marketing and using behavioral financing sources. which is reflected in their competitive position due to the presence of different companies.

Novel and effective screening system for recombinant protein production in CHO cells

At present, biopharmaceuticals have received extensive attention from the society, among which recombinant proteins have a good growth trend and a large market share. Chinese hamster ovary (CHO) cells are the preferred mammalian system to produce glycosylated recombinant protein drugs. A highly efficient and stable cell screening method needs to be developed to obtain more and useful recombinant proteins. Limited dilution method, cell sorting, and semi-solid medium screening are currently the commonly used cell cloning methods. These methods are time-consuming and labor-intensive, and they have the disadvantage of low clone survival rate. Here, a method based on semi-solid medium was developed to screen out high-yielding and stable cell line within 3 weeks to improve the screening efficiency. The semi-solid medium was combined with an expression vector containing red fluorescent protein (RFP) for early cell line development. In accordance with the fluorescence intensity of RFP, the expression of upstream target gene could be indicated, and the fluorescence intensity was in direct proportion to the expression of upstream target gene. In conclusion, semi-solid medium combined with bicistronic expression vector provides an efficient method for screening stable and highly expressed cell lines.