Merchandise Sales Research Articles

Psychological Factors Influencing Consumer Purchases in the Sports Goods Market: Insights and Strategies

With the improvement of people's health awareness and the popularity of sports activities, the sports goods market has expanded rapidly. It is of great significance for merchants to develop effective marketing strategies to understand the influence of consumer psychology on sports merchandise sales. The purpose of this study is to explore the psychological factors that affect consumers' purchase of sports goods, including brand cognition, social influence, personal values and consumption experience, and analyze how these factors affect consumers' purchase decisions. By searching the relevant data in the past five years, the impact of different dimensions on consumers can be judged. It is found that brand cognition and social influence are important psychological factors for consumers to buy sports goods. Specifically, high brand perception significantly increases consumers' willingness to buy, while social impact is particularly important, especially among younger consumers. In addition, the individual's personal values are also positively correlated with the purchase behavior, which can promote consumers' loyalty to sports goods and repeat purchase intention. This study shows that understanding consumer psychology is crucial to improving sports merchandise sales. Merchants should pay attention to the shaping of brand image and the construction of social influence, and meet the psychological needs of consumers through accurate market positioning and marketing strategies, so as to enhance the purchase intention and brand loyalty of consumers. This provides empirical support and theoretical guidance for the marketing of sports goods.

DAMPAK COVID-19 TERHADAP PEMBIAYAAN BERMASALAH NASABAH DI BTN SYARIAH KCPS PANAKUKANG PADA TAHUN 2020

This study aims to determine the impact of Covid-19 on customer financing and to determine the impact of Covid-19 on banks, in this case BTN Syariah KCPS Pannakukang. This research is a qualitativeresearch conducted descriptively. The results of this study indicate that first, From the customer's perspective, namely the Covid-19 pandemic has greatly affected the customer's business merchandise sales, reduced and decreased income makes customers object to paying installments of financing, income during this pandemic is only to cover installment costs. the impact of this pandemic has made customers look for other income to meet their needs. Used to pay installments and basic daily needs. customers in terms of covering installments are half dead in looking for income to cover installment deposits.Second,From the perspective of the bank itself, namely BTN Syariah KCPS Panakukang, it has experienced a decrease in the level of community participation as an intermediary institution, the presence of Covid 19 has had an effect on turmoil in terms of views for leaders and employees regarding the best solution or solution that can be given to BTN KCPS Panakukang customers, the impact the Covid-19 pandemic for BTN Syariah KCPS Panakukang itself, namely issuing a special policy for BTN Syariah KCPS Panakukang customers.

Comparison Between Elementary Network Structure and Prophet Model for Time-Series Forecasting: Merchandise Sales

Comparison Between Elementary Network Structure and Prophet Model for Time-Series Forecasting: Merchandise Sales

Improvement of Cross-border Bonded Goods Supply Chain by Optimizing Operational Methods

Based on the existing mode of the supply chain of imported bonded commodities for cross-border e-commerce enterprises, this paper studies and discusses the online operation method of bonded commodities, warehousing management, logistics and transportation, as well as consumer satisfaction, and draws on the operation mode of the supply chain of domestic general trade goods, and tries to make innovations to the operation and management of the whole cross-border bonded commodities supply chain based on this model. The authors of this paper found that updating the sales strategy and cooperation between the supply chain could help merchants accurately predict the positioning of commodities and market demand, which is helpful for cross-border e-commerce enterprises to grasp the market trends and consumption trends and avoid the inventory backlog in bonded warehouses. In addition, the innovation of bonded merchandise sales could increase the consumer attention of different groups of consumers, accelerate the circulation of goods and increase the sales of goods. It helps cross-border e-commerce enterprises to enhance their market competitiveness. Finally, merchants, through the management of logistics and transportation, through cooperation and data sharing, can better reduce logistics and transportation costs and rapid delivery.

Implementation of Financial Reports Based on Financial Accounting Standards for Micro, Small and Medium Entities (SAK EMKM) at the Henku Mere Store

Financial reports for MSMESs are important information to achieve the success of a business. The purpose of this study is provide an overview and iinformation that can help MSME shop owners, namely the Accounting Standars for Micro, Small and Medium Enterprises (SAK EMKM). The research object is the Henku Mere shop which is engaged in tranding, namely buying goods and reselling them to consumers. This study uses a qualitative method. The type of data used by the author in this study is primary data inthe form of interviewa and secondary data in the form of sales transaction dokuments, purchases and a brief history of the Henku Mere store. Data collection technicques that the authors did in this study were interviews and direct observation. The results of the study show that Henku Mere store has not prepared and produced financial reports based on SAK EMKM. The entity uses only recorded notes so that information on sales of merchandise and purchasesof merhandise inventory, whererevenue minus expenses equals profit. As for the preparation of the financial statement and notes to the financial position, income statement and notes to the financial statements for the current period January to March 2023.

Research on the application of cluster analysis in cross-border e-commerce customer segmentation and market strategy

Abstract E-commerce platforms are becoming increasingly competitive, and how to attract and retain users has become a problem that operators need to solve. The study improves the K-means clustering algorithm by introducing the concepts of mean sample distance and SSE and using the median to construct profile coefficients. Based on this, the user labels of cross-border e-commerce companies are selected, and clustering segmentation is performed after collecting the user data of Company T on cross-border e-commerce platforms to reveal the basic characteristics, purchasing preferences, and behavioral habits of different e-commerce users. A cross-border e-commerce marketing strategy based on customer segmentation has been formulated, and its effectiveness has been verified. Through clustering analysis, users are successfully classified into three types: high-value (4.01%), dynamic (7.35%), and growth (88.64%). After implementing the marketplace strategy, the sample companies gained significant growth in user growth, referral effect, and merchandise sales, as reflected in the number of first-buy users (63.46%), effective users (21.45%), ad click rate (18%~22%) and sales volume (166.43%). This study can help cross-border e-commerce enterprises better understand user needs and behavioral patterns and formulate more accurate marketing strategies to enhance their competitiveness and market share.

Research and optimization of cross-border e-commerce marketing mode based on big data technology

Abstract The development of mobile Internet promotes the updating of cross-border e-commerce models, and the precision marketing realized by relying on big data technology better meets the all-around demand of users for content, socialization, and transactions. The article establishes a cross-border e-commerce marketing process on the basis of STP marketing management and builds a cross-border e-commerce precision marketing model by combining the STP marketing model. The user behavior characteristics of cross-border e-commerce users are extracted based on the RFM model, and the user behavior model is established by combining the user’s interest in purchasing goods. Then, the K-Means clustering algorithm is used to process the subgroups of cross-border e-commerce customer samples so as to construct a precise portrait of users. The cross-border e-commerce enterprise Z is selected as the research object, and the impact of precision marketing strategy on its user growth, merchandise sales, click-to-purchase conversion rate, and marketing optimization effect is analyzed. The number of effective users grew from 10,516 in 2020 to 16,804 in 2022, and the click-to-purchase conversion rate of products improved by 20%~46%, and different types of customers have various degrees of improvement under the precision marketing strategy. Based on big data technology, cross-border e-commerce users can be accurately portrayed, marketing products can be provided to users with more accuracy, and cross-border e-commerce enterprises can effectively enhance their marketing capabilities.

Analysis of Merchandise sales by factor, principal component and cluster models

Analysis of Merchandise sales by factor, principal component and cluster models

Analysis of Commercial Operation Means and Marketing Strategy of American Ultimate Disc League (AUDL)

The American Ultimate Disc League (AUDL) has emerged as a prominent player in the world of professional ultimate frisbee. This paper provides an in-depth analysis of the commercial operation methods and marketing strategies employed by AUDL. The AUDL has harnessed various commercial means to boost its brand and revenue. This includes strategic partnerships with sports apparel companies, broadcasting deals, and merchandise sales. These initiatives have helped AUDL expand its presence in the market and establish a dedicated fan base. The marketing strategy of AUDL is multifaceted, focusing on both grassroots initiatives and digital platforms. Grassroots events, such as youth clinics and local tournaments, have been instrumental in promoting the sport at the grassroots level. Simultaneously, AUDL leverages digital platforms, including social media and live streaming, to engage with a global audience. The league's presence on social media platforms and dedicated fan engagement efforts have contributed to its increasing popularity. This analysis also delves into the challenges faced by AUDL, including competition from other sports leagues and the need for continued expansion. Furthermore, it explores the sustainability of AUDL's commercial and marketing strategies, emphasizing the importance of adaptability and innovation in a dynamic sports industry. In conclusion, the AUDL's success can be attributed to its effective commercial operation means and marketing strategies. By continuously evolving and engaging with fans, AUDL has made significant strides in establishing itself as a leading entity in professional ultimate frisbee.

The Brand Equity of Los Angeles Lakers

Brand equity is a crucial component for sports teams in establishing their market position and generating revenue. The Los Angeles Lakers, one of the most successful franchises in the National Basketball Association (NBA), has maintained a strong brand image for decades. However, the factors contributing to their brand equity and its impact on fan loyalty and merchandise sales remain unexplored. Therefore, this study aims to investigate the brand equity of the Los Angeles Lakers and its significance to the team's marketing strategy. The research method is the literature review. The research topics included the identification of key brand attributes associated with the Lakers, the role of star players and team success in brand building, the impact of social media and fan engagement, and the relationship between brand equity and fan loyalty and merchandise sales. The research revealed that the Lakers' brand equity is built upon a unique combination of history, legacy, and success, as well as the team's association with star players and iconic logos. Social media and fan engagement were also identified as critical factors in maintaining and enhancing brand equity. The study also found that the Lakers' brand equity has a significant impact on fan loyalty and merchandise sales, providing valuable insights for the team's marketing strategy. In conclusion, this study provides a comprehensive understanding of the factors contributing to the brand equity of the Lakers and its significance in the team's marketing success.

Worcester Red Sox: Let's grow our brand

Research methodology This case was developed through interviews with Brooke Cooper, Dr. Charles Steinberg and others at the WooSox, as well as a thorough analysis of the Worcester Red Sox’s social media and company websites. Purpose The purpose of this marketing case study is to This case focuses on understanding the process involved in conceptualizing and developing a marketing plan and strategy, and the ability to define and articulate the importance of BRAND in a marketing context. Case overview/synopsis The Pawtucket Red Sox relocated to Worcester, Massachusetts in Spring of 2019. The citizens of Worcester embraced their new team – the WooSox – as did many of the surrounding towns in Worcester County. The marketing arm of the WooSox worked tirelessly to develop a plan that included immersion in the cultures of the cities and towns within Worcester County; becoming a presence in their schools, businesses and community-based organizations; learning the priorities of the individual communities and supporting those needs; building a consistent, interactive and strong presence on social media; highlighting various interactions with their fan base; providing an outstanding experience at Polar Park; creating a loyal fan base ultimately driving ticket and merchandise sales and cultivating new fans to experience Polar Park; and understanding that word of mouth is the best form of marketing. The WooSox leadership team understood the need to expand its reach into new markets. In this case, the marketing team has been charged with exploring the Western Massachusetts region as a potential growth opportunity. The WooSox have a strong brand in the greater Worcester County area – but can they travel 60–90 min west and establish the same presence? Complexity academic level This case was written for undergraduate-level Marketing Principles or Sport Marketing courses.

Challenges and Opportunities in the Business Model of Formula 1

This paper provides an overview of the business model of Formula 1 (F1), a premier motorsport racing competition. The main sources of revenue for F1 include TV broadcasting rights, race hosting fees, sponsorship and naming rights, and merchandise sales. In analyzing F1's business model, this paper examines the various revenue streams and the challenges they face. F1 is facing challenges in the area of TV broadcasting rights due to the rise of streaming services and the changing media landscape. Additionally, scheduling conflicts due to the limited time available to hold races are creating tensions between stakeholders. The paper also looks at the impact of sponsorship on F1, including the extension of sponsorship beyond traditional marketing tactics by brands like Rolex and IWC. However, some sponsorship deals have encountered issues, such as Marlboro's association with tobacco and Alfa Romeo's partnership with Stake violating certain countries' laws. It also draws upon a combination of literature review and personal experience to identify key issues and propose potential solutions. By analyzing existing research and drawing upon observations, the paper aims to provide a comprehensive understanding of the business model of Formula 1 and the challenges and opportunities it faces in the current market. Finally, the paper concludes with recommendations for addressing these issues, including exploring alternative revenue streams, implementing more flexible scheduling, and ensuring that sponsor partnerships align with F1's values and do not violate local laws.

Race, Prejudice and Support for Racial Justice Countermovements: The Case of “Blue Lives Matter”

In this article, we develop and test three propositions related to the status of a primary counterpoint of the Black Lives Matter (BLM) movement—“Blue Lives Matter” (BlueLM). Employing correlational and causal analyses on a wide array of data, including public opinion, news and social media, internet searches, and merchandise sales, our findings are threefold: first, we offer evidence that Whiteness is associated with attitudinal and behavioral indicators of support for BlueLM; second, we present evidence that support for BlueLM is systematically linked to White racial prejudice; and third, we demonstrate that BlueLM activity is caused by BLM protest following a high-profile police killing of a Black man, which comports with the conceptualization of BlueLM as engaging in a process of “competitive victimhood” against BLM. Together, these findings suggest that BlueLM is a new incarnation of an ongoing history of White countermobilization against organized Black claims-making activity.

Pengaruh Kepercayaan dan Harga terhadap Keputusan Pembelian dan Loyalitas Pelanggan pada pembelian Merchandise K-Pop melalui Group Order

Korean pop music or K-Pop is one of the Korean Wave products that millennials are interested in. During the pandemic era, K-Pop fans in Indonesia skyrocketed, leading to increased sales of K-Pop albums and other K-Pop merchandise. This study aims to determine the effect of trust and price on purchasing decisions and customer loyalty in purchasing merchandise K-Pop through Group Order. The research method used is descriptive quantitative. The population in this study are K-Pop fans who are members of the Group Order Jametal, while the samples obtained were 85 people. The sampling technique using the technique non probability sampling by method purposive sampling. Collecting data in this study used a questionnaire created through the Google form. Data was processed using IBM SPSS 25 software with validity and reliability test methods, classic assumption test, multiple linear regression test and hypothesis test (t test). The results of the study show that trust and price have a positive and significant effect on purchasing decisions. And trust and price have a positive and significant effect on customer loyalty.

Community-based social recommendation under local differential privacy protection

Social recommendation refers to recommendation technology taking social relations as additional input to improve merchandise sales and user satisfaction. It has been widely used in various social networking services. Social recommendation requires the collection of each user's social relations to build a social graph, posing the risk of user privacy intrusion caused by untrusted servers. Local differential privacy is a widely adopted approach for providing privacy protection while allowing acceptable utility of the protected data for analytics. Growing research interest has been applying local differential privacy protection to social graph analysis. However, local differential privacy is suitable for analyzing coarse-grained statistics from perturbed user data, and it is difficult to obtain the fine-grained user relations needed for social recommendation. This paper proposes a novel locally differentially private social recommendation method. It first perturbs the degrees of users in a given interval and discovers coarse-grained communities from them, then generates a fine-grained social graph according to the features of intra-community and inter-community relations, thus ensuring the accuracy of the recommendation results. Experimental results show that the social recommendation accuracy of our proposed method improves by about 20% compared to existing methods in a community-structured ego-network dataset, and by about 10% in two non-community-structured page-page network datasets. The experimental results show that compared with the state-of-the-art methods such as LDPGen, LFGDPR, and AsgLDP, the social recommendation accuracy of our proposed method is improved by about 20% in one community-structured ego-network dataset, and 10% in two non-community-structured page-page network datasets.

Analysis of E-Commerce Product Sales Prediction Based on Ga-Bp Neural Network

In recent years, the market for the sale of various goods has been expanding and with it comes huge amounts of data that needs to be specifically processed and analyzed. For a company, the adoption of artificial intelligence algorithms with better performance in handling big data is an important step in influencing the future decisions and future growth of the company. In this paper, an optimized neural network based on GA-BP is constructed to analyze samples with different characteristics to predict the future sales in the short term. After testing, the prediction results are found to be good. First, the degree of influence between the indicators is examined using BP neural network. By comparing whether the inventory indicator at the beginning of the month is used as the model input, the error of the end-of-month inventory forecast content is obtained, which leads to the conclusion that the inventory at the beginning of the month has a greater impact on the inventory at the end of the month. Similarly, it can be concluded that the commodity type has a greater impact on the commodity pool. Second, to further analyze the relationship between commodity type and commodity inventory, the Eta test was used. It was found that item type A2 had the greatest impact on merchandise inventory, followed by type A1 and finally type A3. This finding is consistent with the characteristics of the dataset. Considering that the optimized GA-BP neural network model is mainly used to predict merchandise sales in the next 3 months; secondly, considering the specificity of some data in the sample, it is not suitable to use the neural network for analysis and prediction. For all data, the data that could be analyzed by GA-BP were found by gradient descent method, and it was found that the data with target value below 5500 had the best prediction effect. Finally, according to the given accuracy evaluation index, the score of the model is calculated as 0.678 5, and the model works well.

Spatial and Temporal Variation Characteristics and Driving Mechanisms of Multidimensional Socio-Economic Development Levels in Resource-Based Cities

As resources are depleted, resource-based cities face unique challenges in the process of socio-economic development. We constructed a multidimensional socio-economic development level model by adopting Entropy Value Method, Analytical Hierarchy Process, time series weighting method, and Game Theory approach for the data of 10 indicators in 4 dimensions of 115 resource-based cities in China from 2004 to 2019 to explore the spatial and temporal divergence characteristics of multidimensional socio-economic development level and the driving mechanism of its pattern of evolution. The results show that: (1) the overall socio-economic development level of resource-based cities has improved from 2004 to 2019, but the overall level is low. Large differences exist in the spatial distribution of socio-economic development levels between cities with more significant regional spatial aggregation characteristics. (2) Secondary industry, tertiary industry, retail trade goods sales, urban construction land area, and total freight transport have a significant positive impact on socio-economic development; the correlation coefficient between the number of schools and the socio-economic development level index is negative. (3) Retail trade merchandise sales contribute the most to the Gini coefficient, where the percentage of secondary industry and urban construction land area have a higher cumulative contribution to growing cities (55.02%), the percentage of secondary industry has the lowest contribution to regenerating cities (10.94%), and the percentage of tertiary industry has an increasing contribution to declining cities year by year. Based on the above findings, some specific suggestions are provided to provide reference for resource-based city development planning.

Aplikasi Sistem Presensi Pegawai PT. Berkah Pena Ilmu dengan Metode Location Based Service (LBS) Berbasis Android Menggunakan Firebase

PT. Pena Berkah Ilmu is a medium-sized company engaged in Food & Beverage, social and humanitarian institutions, event organizers, travel and merchandise sales where this company still implements attendance methods such as signatures for employees. The attendance of each employee is recorded through the existing attendance system. However, in its implementation, sometimes there are some persons who do not attend or forget to attend. This results in the employee being considered absent. This desire arose because this company experienced difficulties in processing attendance information data, resulting in more and more hardcopy archives and making it difficult when the company's management intended to recap and re-collect data and employee attendance lists. This study uses the waterfall method which describes a systematic and sequential approach to software, starting with the specification of employee requirements, design, modeling, construction, delivery of the system to employees and complete software support that is produced. With this attendance application, it will be easier for employees to carry out attendance attendance even though they are outside the office and attendance data will later be stored in the database so that it will make it easier for the personnel department to be able to recapitulate employee data.

Symbiotic Value: A New Probe into The Marketing Strategy of Movie Licensed Merchandise

Chinese movie licensed merchandise is highly active in the internet era and exhibits distinct internet characteristics. The value of movie merchandise is amplified by the power of the internet, but its impact remains limited. This study employs in-depth interviews to understand the current state and challenges in the development and marketing processes of movie licensed merchandise. From the perspective of symbiotic marketing theory, a sample survey and data analysis of European and American films reveal that the genre and series of a film directly influence the development of its licensed merchandise. Meanwhile, box office success and critical acclaim do not necessarily determine merchandise sales. Consequently, the paper proposes that the symbiotic marketing model for Chinese movie licensed merchandise should focus on the “symbiotic conditions” between movies and merchandise and choose products that can establish strong connections with the films to achieve value co-creation. This approach aims to maximize the value of movies and promote the prosperity of the movie market.

Evaluation of Accounting Information System in The Cycles of Purchases And Sales of Merchandise at Amanah Store

Amanah Store is an agent for selling packaged snacks and beverages wholesale and retail. Amanah Store does not produce its goods but only resells, so it is categorized as a trading company. This research aims to evaluate related to the cycle of purchasing and selling merchandise at Amanah Stores based on several problems found. As a sales agent for packaged snacks and beverages, the operational activities are very high. However, the owned organizational structure is not optimal because there is no specific division of tasks. This affects the cycle of purchasing and selling cycles because there are no particular essential parts. The method used in this research is a qualitative research method using a case study approach. The data used are primary data obtained directly from the research location. The data collection techniques used were interviews, observation, and documentation. Interviews were conducted directly at the research location with the selected subjects as informants. Informants were selected using a purposive sampling technique, where the person was chosen because he or she was considered the most knowledgeable about the company. Observations are carried out directly by observing the activities that occur in the company, and documentation is carried out to strengthen the research data. To obtain valid data, validity was also carried out, whereas, in this study, the validity was carried out using triangulation methods, namely testing data from interviews, observations and documentation. The results of this study are that the accounting information system cannot be said to be optimal if the functions needed in the organizational structure have not explicitly been divided. Besides that, transaction documents and accounting records are also incomplete because no function or section is specifically responsible for handling