Company Sales Research Articles

국내 건설사 경영효율성 비교분석-도급형 건설사와 개발형 건설사 비교를 중심으로

This study aims to compare the management efficiency of classified domestic construction firm to each categories by company sale scale, and sale type. In particular, the characteristics of contract-oriented construction firms with high construction sales and development-oriented construction firms with high parcel-out sales are compared and analyzed. We use the financial statement values for 10 years from 2011 to 2020 for companies registered with the Korea Construction Association, and compare the management efficiency of construction firms through the absolute efficiency (Dupont) and the relative efficiency (DEA) analysis. According to the research results, first, it is found that contract-oriented construction firms show a trend in management efficiency similar to the average of all construction firms, but development-oriented construction firms continue to maintain high management efficiency throughout the study period. Second, as for absolute management efficiency, developmentoriented construction firm show high return on equity. This is attributable to the relatively high net profit margin on assets and net profit on sales, and the cost of sales, SG&A expenses, and non-operating expenses are lower than contract-oriented construction firms. Third, relative management efficiency also shows that development-oriented construction firms show higher management efficiency compare to contract-oriented construction firms. It is analyzed that development-oriented firm have higher management efficiency than contractoriented construction firm because they have a low cost ratio and non-operating expenses. As a result, it is found that, similar to all construction firms, the management efficiency of contract construction companies changes according to changes in the construction industry, but development-oriented construction firms consistently show high return on capital and net profit efficiency.

CSR and performance of listed companies in kerala: An empirical analysis

Companies protecting the interest of stakeholders in social performance and there is compulsion on these companies to report their social responsible activities and practices for getting the support from the public. Some organizations in Kerala published the report on their social activities in their websites also. These type of initiatives will boost the performance of companies in the market. This study focused studying the association between CSR and performance of Kerala based companies. Here, multiple regression and correlation approach has been used to know the relationship between financial performance and CSR initiatives of the companies in Kerala. Results of this study shows that there is association between CSR and Sales of Kerala companies and financial progressive companies are willing to invest in CSR also. So it is concluded that more companies will come forward for CSR initiatives in Kerala.

PENDEKATAN BLUE OCEAN STRATEGI DALAM PERSAINGAN BISNIS (STUDI EMPIRIS : HIDAYATULLAH HERBAL CENTER) KOTA SEMARANG

Currently the development of the world economy is characterized by the process of globalization towards the free market, including herbal medicines that enter from various countries without clear protection that causes business competition will become more intense, causing companies to look for effective and efficient forms of marketing to introduce and market their products. Di Indonesia thedevelopment of drugs has been getting faster, especially herbalmedicines l, one of the companies is Hidayatullah Center Herbal Shop (H2C) in Banyumanik, Semarang. Hidayatullah Center Herbal Store (H2C) in Banyumanik, Semarang is a company engaged in the sale of various herbal products such as honey, goat milk, habbatussauda, olive oil, zam-zam water and others located in Banyumanik, Semarang. The purpose of this research was to find out and analyze the application of the Blue Ocean Strategy method to increase sales and marketing levels at the Hidayatullah Herbal Center (H2C) Herbal Store in Banyumanik Semarang. This prenelitian uses qualitative research methods, where the data and information obtained are collected through interviews (interviews), observations, and documentation. Thisstudy shows comparisons in the application of Blue Ocean Strategy seen using the remove-reduce-enhance-create scheme, strategy canvas and blue ocean index where hidayatullah herbal store center (H2C) in Banyumanik, Semarang focuses more on eliminating rogue retailers, increasing and developing company productivity, creating a strong promotion. Accurate that can reach the wider community so that it can increase company sales, create a company's personal website to be able to support product marketing, organize retailer management, tighten quality control.

Application of Branch Rule in Foreign Base Company Sales Income

Application of Branch Rule in Foreign Base Company Sales Income

From creativity self-efficacy and employee creativity to company sales performance

Everyone can create ideas, but not everything can start with a good plan and become a real masterpiece, those who successfully implement these ideas are only those who have a creative attitude. The purpose of this study is to analyze the effect of climate of innovation, creativity self-efficacy, employee creativity to company sales performance. This research was conducted at the Good Ponsel Bali. Good Ponsel Bali is located in Gianyar, Bali. The reason the researcher chose this location is that Good Ponsel Bali is a MSME that markets its sales products by demanding that its employees offer products through creative ideas by creating contemporary content on social media. The population used in this study were employees of the Good Ponsel, which amounted to 33 people. The sampling technique used is the saturated sampling technique because the population is relatively small so the sample used in this study amounted to 33 people. Data collection method uses a questionnaire distributed through Google Form and uses regression analysis as a data analysis technique. The result shows inovation climate has a positive and significant effect on the company's sales performance.

Effect of Career Development and Supervision on Employee Satisfaction at Pt. Kartika Swarna Dwipa (Tupperware Sales Company)

Supervision is all the activities undertaken by the manager in an effort to ensure that the actual results in accordance with the planned results. Job satisfaction cannot be felt by employees due to the company's career development programs that are less clear and have not been able to guarantee the future of employees. The research method using quantitative approach, the type of research used descriptive quantitative. Data were collected through interviews, questionnaires and documentation studies. The data analysis used is multiple linear regression. The population used is all employees who numbered 78 people. Determination of sample in research using saturated sample that is with all employees amounted to 78 people. The results showed that career development and supervision simultaneously and partially have a positive and significant effect on employee job satisfaction with the value of determinant coefficient of 0.132 or 13,2%, while the remaining 86,8% influenced by other variables not examined. The conclusion of the research is simultaneously and partially career development and supervision have a significant effect on employee job satisfaction at PT. Kartika Swarna Dwipa (Company in Sales Tupperware).

Influence of Company Size, Leverage, Sales Growth and Operating Capacity on Financial Distress

Financial distress is a condition where the company faces financial difficulties. Financial distress has a close relationship with bankruptcy in a company because financial distress is the stage where the company's financial condition has decreased before the bankruptcy. The purpose of this study was to find out empirical evidence about the effect of firm size, leverage, sales growth and operating capacity on financial distress. The population of this study is Real Estate and Property Companies Listed on the Indonesia Stock Exchange in 2017-2019. The sample in this study is 100 companies that have been selected by the purposive sampling method. The analysis method uses multiple linear regression analysis techniques. The results show that leverage has an effect on Financial Distress while Company Size, Sales Growth and Operating Capacity have no effect on financial distress.

Consumers' Attitude and Perception About Digital Marketing

The identification of customer needs in relation to goods and services is a key component of contemporary marketing efforts. This is done by purchasing goods from suppliers through the transfer of ownership. Finding out what customers want, when they want, where they want, and for what price is the process that is ultimately aimed at achieving customer happiness. Production, product, sales, marketing, and societal marketing are the five main facets of marketing. Consumers' engagement with brands has changed as a result of digital media. A 21st-century consumer contributes significantly to any economy. As a result of their demand, producers would have no need to produce, earning them the title of "King of the Market." Traditional marketing techniques and structures are becoming outmoded as a result of the swiftly changing marketing economics. The conventional marketing approaches are not viable. Marketers were forced to choose digital marketing as a more sustainable alternative to any conventional time-consuming technique. This study has discussed several types of digital marketing, their efficacy, and how they affect a company's sales.

A Churn Prediction System for Telecommunication Company Using Random Forest and Convolution Neural Network Algorithms

INTRODUCTION: Customer churn is a severe problem of migrating from one service provider to another. Due to the direct influence on the company's sales, companies are attempting to promote strategies to identify the churn of prospective consumers. Hence it is necessary to examine issues that influence customer churn to yield effective solutions to minimize churn. OBJECTIVES: The major purpose of this work is to create a model of churn prediction that assists telecom operatives to envisage clients that are more probably to be prone to churn. METHODS: The experimental strategy for this study leverages the machine learning techniques on the telecom churn dataset, employing an improved Relief-F feature selection algorithm to extract related features from the enormous dataset. RESULTS: The result demonstrates that CNN has a high prediction capability of 94 percent compared to the 91 percent Random Forest classifier. CONCLUSION: The results are of enormous relevance to the telecommunication business in improving churners and loyal clients.

An innovative approach to forecasting the impact of online promotion factors on key competitiveness indicators of economic entities

Aim. The presented study aims to identify online promotion factors that affect company sales, to determine the degree of correlation between them, and to investigate their impact on revenue; to develop an algorithm for forecasting the impact of these factors on key competitiveness indicators of economic entities.Tasks. The objective of this study is to improve the efficiency of online promotion by digitalizing the process of forecasting the impact of online promotion factors on key competitiveness indicators of economic entities.Methods. The authors use the systems and logical approaches, as well as correlation and regression, factor and variance analysis.Results. A five-factor regression equation is developed to quantify the effectiveness of the innovation policy of online development of economic entities and to forecast the impact of online promotion factors on its competitiveness. An algorithm for forecasting this impact on key competitiveness indicators of economic entities is proposed. The obtained results can be used in the enterprise’s concept of innovation policy development and implementation.

Performance Analysis of CSR Implementation of PT. Golden Great Borneo Year 2021 in Lahat District

Corporate Social Responsibility (CSR) is an obligation that must be carried out by companies that manage natural resources. The Minister of Energy and Mineral Resources of the Republic of Indonesia number 1824 K/30/MEM/2018 requires every company to prepare a master plan for Community Development and Empowerment during the production and post-mining operations. PT. Golden Great Borneo is committed to implementing CSR according to these guidelines, with the aim of establishing good relations with the community around the mining area. This study aims to analyze the performance of the company's CSR implementation in 2021. Where that year was the first year the company carried out CSR with the guidance of the PPM master plan. This research was conducted using a transcript of interviews with the ring 1 community and the company. The analysis was conducted to see the performance of CSR implementation and its effect on the company's operations. The results of the analysis show that the company's CSR implementation performance will be good if it is supported by the competence of the company's CSR implementing team. Because this team will collect input suggestions, arrange activities, budget, activities, and carry out activities with beneficiaries. The CSR program run by the company referring to the Decree of the Minister of Energy and Mineral Resources of the Republic of Indonesia number 1824 K/30/MEM/2018 is running effectively with the percentage of budget realization reaching 121.45%. This good CSR performance has an indirect positive influence on the company's operational performance, especially at the level of the company's coal sales.

Internationalization Strategies and Performance of Multinational Companies in Nigeria

The challenges of firm performance of international companies and assessment of corporate strategies have witnessed fundamental changes in literature far beyond book values. A consideration of comprehensive integration and inadequate overlap among firm performance drivers, and declining comparative competitive advantage in the industry where the multinational companies operate are significantly unsettling. The study adopted an ex-post facto research design. The survey was conducted across three (3) sectors of the Nigeria Stock exchange with the population of one hundred and seventy-one (115) companies. The study used a purposive sampling technique to select the international companies. Hence, a sample size of sixteen (16) multinational companies is used to investigate the effect of internationalization and firm performance. Secondary data was adopted for the study and the data for the study were obtained from the Nigerian Stock Exchange Annual report; annual reports and financial statements of the selected companies. Descriptive and inferential (Panel regression analysis) were used to analyse the data. Hausman test was conducted to determine the choice of model to use between the fixed effect model or random effect model. The study revealed two models. One model without control variables and the other with control variable. Model one shows that internationalization has a significant effect on firm performance of listed companies in Nigeria revealing an adjusted r square of 0.0913; Wald Stat of 18.30 and the p-value of 0.000 < 0.05. Model two also revealed a significant effect with an adjusted r square of 0.252, F statistic of 9.93 and p-value of 0.000 < 0.05. The study, however, concluded that internationalization has a significant effect on firm performance of listed companies in Nigeria. Therefore, it was recommended that management of multinational companies should review and re-engineer the dynamics of export intensity to improve the performance of companies to efficiently and effectively generate profits using its assets. . The government and policymakers should reconsider charges and interest rates to accommodate the loan facilities of the multinational companies. Management should put in place investment policies that will attract foreign investors in the company which will enhance operations and performance. Management should take advantage of their strength and emerging opportunities to enhance company sales.

A System‐of‐Systems Meta‐Architecture Optimization to Recommend a Solution for Personalized Home Fitness

AbstractDue to the novel coronavirus COVID‐19 pandemic in 2020 and the stay‐at‐home orders that accompanied mandates for businesses to cancel in‐person activities, an increasing number of people turned to fitness alternatives that allowed them to exercise without leaving their homes. With this came a demand for at‐home workout solutions and a surge in sales for companies like Peloton and NordicTrack. To help determine the best solution for a potential customer, this paper analyzes a System‐of‐Systems to optimize a meta‐architecture for an at‐home spin class capability by maximizing five key performance attributes: affordability, efficiency, flexibility, enjoyment, and efficacy. The overall System‐of‐Systems was analyzed using a Fuzzy Inference System that interfaces with SoS Explorer, a System‐of‐Systems architecting tool developed by Missouri University of Science and Technology. A genetic algorithm guided the optimization process to generate a single meta‐architecture that provides the best possible value for the overall objective of the System‐of‐Systems. A summary of the simple Self‐Organizing Genetic Algorithm is included along with a definition of the constraints and equations used to define the score of the meta‐architecture given the combination of systems selected and their associated capabilities, characteristics, and feasible interfaces. Future work includes the expansion of the approach to other potential equipment and workout types, such as running, yoga, and lifting, as part of the analysis and optimization using SoS Explorer.

JOB SATISFACTION IN A POULTRY COMPANY IN BUCARAMANGA, SANTANDER

In the business environment there are several variables that directly or indirectly affect the performance of organizations, such is the case of human resources, since individuals are responsible for continuously performing activities at the strategic, tactical, and operational levels, which are fully aligned with the indicators and goals set out in the strategic planning processes at different time levels. In this context, this study analyzes the job satisfaction of the employees of the points of sale of an important poultry company in the city of Bucaramanga, contemplating the high representativeness in the economic environment and in the labor market, by means of the questionnaire S20/23. The findings indicate that it is important to implement actions to improve labor recognition and participation in decisions, since it makes it possible to foresee elements referring to the comparative advantage in the market.

Analysis of pricing and demand strategies: Before and during big billion days sale on consumers

E-commerce is a 24*7 virtual store where buyer and seller meet and exchange goods & services against offered price. During this sale companies offer special discounts and cash back offers on some selected products which leads to surge in sales. This paper attempts to analyse the pricing strategies and demand pattern of some select brands specially before and during Big Billion Days sale adopted by the major giants of e-commerce business i.e., Amazon and Flipkart. This Paper attempts to figure out the need of Big Billion Days Sale, impact on other e-commerce companies & offline retail outlets. Under this paper an attempt has been made to take a snapshot of different kinds of strategies options by their competitors to capture its target market. For the purpose of this study, data has been collected purely through secondary sources. The study concludes that special offers and heavy discounts on some select brands will lead to create a pressure on other sellers they may be other e-commerce companies or offline retail outlets, because their sale during this period gets affected and declined that is the reason, they offer some additional discount to their customers other than offered by the e-commerce companies.

PENERAPAN DATA MINING UNTUK REKOMENDASI PAKET PERNIKAHAN MENGGUNAKAN METODE ALGORITMA APRIORI

SM Wedding Decoration is a place that provides services to take care of everything related to weddings. For example, wedding decorations, wedding organizers, and wedding planners. SM Wedding Decoration has several wedding packages that can be offered to customers. The many packages available make the bride and groom or customers confused to determine which wedding package is suitable for their wedding. The a priori algorithm method is used in this study to find recommendations for wedding packages based on existing transaction data and to improve the company's strategy and sales of other wedding packages. The Apriori algorithm is used to help computers learn patterns of association rules. This algorithm looks for a set of things that match the given criteria or sequence and has a certain frequency value. From this research, customers tend to order Photographer & Documentation and MUA → Deluxe packages more often, and these orders account for 44% of all package order transaction data. Package order transaction data for MUA→Deluxe package is 41.3%. Transaction data for the Photographer & Documentation package → Deluxe Package is 41.2%. And the transaction data for ordering the MUA → Premium Deluxe Package package is 41.3%.

Anti-Counterfeit Detection System Using Blockchain

Abstract: In recent years, counterfeit products have played an important role in the manufacturing industry. This affects company name, sales, and corporate profits. Blockchain technology is used to identify real products and to detect counterfeit products. Blockchain technology is a distributed, customized, and digital book that stores information in the form of blocks in multiple archives linked to chains. Blockchain technology is a secure technology so any block cannot be changed or hacked. By using Blockchain technology, customers or users do not have to rely on third-party users to ensure product security. The concept of Product Copy Management System against counterfeit products that can be used in a series of postal merchant supply chain using QR code. By using a blockchain-based application platform that will help overcome the problems associated with an effective supply chain management system and provide a way to prove product ownership. Keywords- Blockchain, QR Code, Supply Chain, Solidity, Counterfeit products.

Inventory Management with EOQ Method at “Nitra Jaya” Fashion-Making Company in Badung

Inventory management is an activity carried out by a company that is needed in making decisions, so that material needs for the needs of company activities both production and sales can be fulfilled optimally, with the smallest possible risk. Over-inventory is a waste because it causes storage and maintenance loads that are too high during storage in the warehouse. This research was conducted at Nitra Jaya which aims to determine the proper inventory management of the management system for Nitra Jaya using the EOQ (Economic Order Quantity) method. This study uses quantitative data and qualitative data obtained by conducting interviews with the company and observing the object under study. The results showed that Nitra Jaya inventory management was still not efficient. By using the conventionally applied method in 2019, the total inventory cost incurred was IDR 27,150,000. If Nitra Jaya uses the EOQ (Economic Order Quantity) method in 2019, the total inventory cost incurred is IDR 14.247.886, and the company can save IDR 12.902.114 (47.5%) The implication of this research is that it is expected to be able to provide advice to the owner of the Nitra Jaya to review the total cost of inventory more efficiently through the optimal quantity and frequency of purchasing raw materials, the company should apply the EOQ method in carrying out inventory management.

Impacts of COVID-19 on the Chilean salmon: A first approach to the effects of the pandemic in the industry

Chile is the second largest producer of salmon in the world and is an important pillar of the national economy. Any disruption in how the industry functions will have economic and social effects. The objective of this study was to evaluate the impact of the COVID-19 pandemic on the Chilean salmon industry. An online survey was sent to the highest positions in the industry: presidents, managers, and chiefs of salmon companies. Of the 52 respondents, 75% indicated that operations were moderately affected by the pandemic. More than 70% reported a decrease in their company's production and sales. Work absenteeism was a concern for 88%, and the implementation of sanitary measures was considered effective and relevant to prevent the spread of the virus. However, there were no statistically significant differences (p-value > 0.05) between the degree of impact on operations by company size, or between absenteeism and company size. The information obtained in this study is a first look into understanding the impacts of the pandemic on the Chilean salmon industry in the year 2020.

Non-state Actor in Waste Disposal in the USSR: Activities of “Ukrutilzbir” in the 1920s

The article explorers the activity of the joint-stock company «Ukrutilzbir», which during 1923 – the 1930s was one of the largest waste collectors in the Ukrainian SSR and during period under study successfully competed with such state agencies as Gostorg, Rusavstorg, Rudmetaltorg, Ukrbumtrest, etc. This topic has not been studied in domestic and foreign historiography. The article is based on the analysis of archival materials, which were at first put into scientific circulation. It has been shown that the emergence of the non-state actor was stimulated by the growing demand of industrial enterprises, which in the 1920s have experienced resource hunger in raw materials as well as the large capacity of the Ukrainian waste market. It was found that the first charitable motives of the company’s establishment were soon changed by the commercial interest in waste collection and recycling, but this did not diminish the importance of its activities for the development of waste management policies in the 1920s. The article reveals the main activities of the company (collection and sale of paper, scrap of ferrous and non-ferrous metals, rags, bones, rubber, and glass), its achievements, and problems. It was concluded that «Ukrutilzbir» has managed to build relevant infrastructure as well as an effective network, attracting to cooperation a wide range of both state and non-state actors, consumer cooperation societies, private waste collectors. It has not only taken up a significant share of the waste-collection market, influencing its formation but has also contributed to the development of standards of their utilization and recycling (collection, sorting, storage, and transportation) and preparing the skilled workers. However, with the establishment of the socialist economic system, the organization found itself in a situation of unequal competition with state actors, which had different preferences and access to financial resources. This led to its exclusion from the market and closure.