The purposes of this study were to investigate methods of applying activity-based cost to menu engineering and to examine the feasibility. A total of 6 menu items of XYZ restaurant in Seoul were selected and the ledger of September 2005 was used for menu analysis. The menu mix percent of beef sirloin steak (61.95%) and beef tenderloin steak (17.13%) were labeled as high, whereas BBQ pork ribs (4.94%), salmon fillet (2.66%), seafood platter (5.77%), and teriyaki chicken (7.56%) showed low menu mix percent. In addition, the contribution margin for BBQ pork ribs (29,000 won), salmon fillet (25,810 won), seafood platter (22,400 won), and teriyaki chicken (22,000 won) were higher than the average contribution margin (21,957 won), and those for beef sirloin steak (21,200 won) and beef tenderloin steak (21,900 won) were lower than average. When popularity and contribution margin were applied in menu engineering, BBQ pork ribs, salmon fillet, seafood platter and teriyaki chicken were classified as puzzles and beef tenderloin steak and beef sirloin steak as plowhorses. Menu engineering using popularity and operating profit, which was calculated from activity-based cost, also gave the same results, whereas the additional label for activity cost placed BBQ pork ribs and salmon fillet in the brain teaser category. Ranking analysis on variables estimating menu profitability using Spear-man's ${\rho}$ revealed that there were no significant correlation between variables, which means the estimation of menu item profitability could differ by methods of analysis. With these results, it was concluded that activity-based cost would help to establish more detailed marketing strategy for a restaurant.
Firms are confronting the age of an infinite competition. In order to respond to the rapidly changing business environment and make a success and survival in the international and domestic securities market, firms must take a consideration on the stockholders value-oriented philosophy which has greatly contributed not only to the maximization of corporate profits but also to the stability of financial markets. To pursue stockholders value-oriented philosophy, a firm should build strong relationship with investors by providing exact information of firm's state, financial statement, management policy. Stockholders value-oriented philosophy contributes to long-term growth and development of the firm as well as efficient equity financing and friendship with stockholder. IR is the key factor to attain successful implementation of company's objective. It should be equipped with the most suitable organization and qualified man-power for IR activities. The purpose of this study was to examine the relationship between IR and relationship marketing management. Strategic implications of this study are as follows: First, This study provides a new explanations of IR activities in Relationship Marketing Management. Second, IR activities were key determinants of Trust and Commitment. That means the more a firm does IR activities, the more Trust and Commitment a firm has for their investors. Third, The variables of trust and commitment are highly related to marketing and financial success. IR have a positive effect on a company total value and its cost of capital relative to that of the overall market.
Design is a fatal factor to differentiate and survive one product from the other in fierce competition of the market, when other conditions such as price or quality makes no much difference. Among many marketing tools, package design is known as a direct communication that visualizes and forms the very initial brand image of a product. Package design is not only for packing, transporting, storing and loading but for engraving the brand image in a consumers' mind and lead them to purchasing. One of recent package design trands is various ways of using character, not just as a printed image on the surface but as a part of three dimensional structure of package. If it succeed, the package design could give out the secondary fun and impact to the consumers. The package design with an effective character is itself a great marketing tool and valuable design asset, which can bring a further profit to the company. Especially, character-package can be a powerful and effective marketing method for various local products, in needs of further publication and sales with limited cost. It should motivate the sales of the products by grabbing their attention and taken as a souvenir. This research takes a character package as a useful marketing method for a local brand in Jeonju, South Korea, and tries to design a three dimensional package using its own character. Through the process, the research aims to propose an important design strategy for repositioning or enhancing an existing brand.
SCM as the important marketing strategy enhance the firm's efficiency and compatibility in global market environment such as global outsourcing. Firms adopted SCM realized the need to evaluate precisely the performance of SCM. In spite of importance of SCM, there was not much intention and research to measure SCM performance in textile fashion industry. Therefore, the purpose of this case study was to measure performance of supply chain management in textile fashion business using BSC(Balanced Score Card) to measure not only financial perspective but also non-financial perspectives such as customer perspective, internal business perspectives, financial perspective, and innovation & learning perspective. The questionnaire developed by the reviews of the literature was adopted for this study. The results of this study showed that SCM performance was enhanced from the point of customer perspective(cost, quality, time, service), financial perspective(cash cycle time, inventory turn over, inventory obsolescence, return on asset, return on investment, capacity utilization), and innovation & learning perspective(cost for human resource management, service for human resources). But there was same performance level regarding internal business perspective(lead time, cost for manufacturing process, product quality control, productive flexibility for time, quantity, and variety). Therefore, we should keep close relationship and two way communication among supply chain members to promote better SCM performance.
Proceedings of the International Microelectronics And Packaging Society Conference
/
2003.09a
/
pp.109-119
/
2003
o In order to start SIP Project .Marketing (& ASIC team) should present biz planning, schedule, device/SIP specs., in SIP TFT prior to request SIP development for package development project. .In order to prevent (PCB) revision, test, burn-in, & quality strategy should be fixed by SIP TFT (PE/Test, QA) prior to request for PKG development. .Target product price/cost, package/ test cost should be delivered and reviewed. o Minimum Information for PCB Design, Package Size, and Cost .(Required) package form factor: size, height, type (BGA, QFP), Pin count/pitch .(Estimated) each die size including scribe lane .(Estimated) pad inform. : count, pitch, configuration(in-line/staggered), (open) size .(Estimated) each device (I/O & Core) power (especially for DRAM embedded SIP) .SIP Block diagram, and net-list using excel sheet format o Why is the initial evaluation important\ulcorner .The higher logic power resulted in spec. over of DRAM Tjmax. This caused business drop longrightarrow Thermal simulation of some SIP product is essential in the beginning stage of SIP business planning (or design) stage. (i.e., DRAM embedded SIP) .When SIP is developed using discrete packages, the I/O driver Capa. of each device may be so high for SIP. Since I/O driver capa. was optimized to discrete package and set board environment, this resulted in severe noise problem in SIP. longrightarrow In this case, the electrical performance of product (including PKG) should have been considered (simulated) in the beginning stage of business planning (or design).
Journal of the Korea Society of Computer and Information
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v.21
no.9
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pp.113-119
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2016
In this paper, a research model is proved empirically which includes factors related on the purchase intention of smart car as high innovative product in advance of commercialization. As one of relating to consumer's expectation benefit factors, individual attribute factor includes product knowledge, individual innovativeness, and sociality. Consumer's expectation benefit factor includes perceived ease-of-use, usefulness, and enjoyment. As of switching cost variables, there are financial, uncertainty, relational and psychological switching costs factors. Analysis were performed using data from the 257 respondents as random sampling among potential consumers. Purchase intention were affected by individual innovativeness mediated by perceived enjoyment, and individual sociality by perceived ease-of-use and enjoyment also. Relational switching costs factor was only a significant control variable between purchase intention with consumer's expectation benefit factor. This result presents some implications for making the new smart car's detail concept and marketing strategy related to targeting the consumer as high innovative product and technology firms including smart car makers.
Response modeling is a well-known research issue for those who have tried to get more superior performance in the capability of predicting the customers' response for the marketing promotion. The response model for customers would reduce the marketing cost by identifying prospective customers from very large customer database and predicting the purchasing intention of the selected customers while the promotion which is derived from an undifferentiated marketing strategy results in unnecessary cost. In addition, the big data environment has accelerated developing the response model with data mining techniques such as CBR, neural networks and support vector machines. And CBR is one of the most major tools in business because it is known as simple and robust to apply to the response model. However, CBR is an attractive data mining technique for data mining applications in business even though it hasn't shown high performance compared to other machine learning techniques. Thus many studies have tried to improve CBR and utilized in business data mining with the enhanced algorithms or the support of other techniques such as genetic algorithm, decision tree and AHP (Analytic Process Hierarchy). Ahn and Kim(2008) utilized logit, neural networks, CBR to predict that which customers would purchase the items promoted by marketing department and tried to optimized the number of k for k-nearest neighbor with genetic algorithm for the purpose of improving the performance of the integrated model. Hong and Park(2009) noted that the integrated approach with CBR for logit, neural networks, and Support Vector Machine (SVM) showed more improved prediction ability for response of customers to marketing promotion than each data mining models such as logit, neural networks, and SVM. This paper presented an approach to predict customers' response of marketing promotion with Case Based Reasoning. The proposed model was developed by applying different weights to each feature. We deployed logit model with a database including the promotion and the purchasing data of bath soap. After that, the coefficients were used to give different weights of CBR. We analyzed the performance of proposed weighted CBR based model compared to neural networks and pure CBR based model empirically and found that the proposed weighted CBR based model showed more superior performance than pure CBR model. Imbalanced data is a common problem to build data mining model to classify a class with real data such as bankruptcy prediction, intrusion detection, fraud detection, churn management, and response modeling. Imbalanced data means that the number of instance in one class is remarkably small or large compared to the number of instance in other classes. The classification model such as response modeling has a lot of trouble to recognize the pattern from data through learning because the model tends to ignore a small number of classes while classifying a large number of classes correctly. To resolve the problem caused from imbalanced data distribution, sampling method is one of the most representative approach. The sampling method could be categorized to under sampling and over sampling. However, CBR is not sensitive to data distribution because it doesn't learn from data unlike machine learning algorithm. In this study, we investigated the robustness of our proposed model while changing the ratio of response customers and nonresponse customers to the promotion program because the response customers for the suggested promotion is always a small part of nonresponse customers in the real world. We simulated the proposed model 100 times to validate the robustness with different ratio of response customers to response customers under the imbalanced data distribution. Finally, we found that our proposed CBR based model showed superior performance than compared models under the imbalanced data sets. Our study is expected to improve the performance of response model for the promotion program with CBR under imbalanced data distribution in the real world.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.19
no.1
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pp.119-133
/
2024
As a result of significant investments by the government in promoting public technology commercialization and fostering a venture startup ecosystem, there have been quantitative achievements, such as the registration of over 1,600 Innopolis Start-ups since 2006, generating a total revenue of 1.1 trillion won as of 2021. However, these achievements have been overshadowed by critical qualitative challenges, including a continuous decline in average revenue per Innopolis Start-up. This led to a focus on whether managers' technological and market orientations affect business performance. This study aims to provide insights into improving the qualitative growth of Innopolis Start-ups by analyzing the effects of technological and market orientations on business performance, as well as the moderating effects of adjusting marketing and research and development (R&D) costs on this relationship. Through prior research and empirical analysis, this study derives three main findings. First, technological excellence and innovation significantly influence the business performance of Innopolis Start-ups, while technological intensity does not. Second, customer orientation and competitive orientation significantly impact business performance, whereas entry barriers as a single factor do not. Third, adjusting marketing and R&D costs, as controlled variables obtained through general situations, has no direct impact on other variables. However, it interacts with entry barriers, influencing financial business performance, with R&D costs exhibiting a negative buffering effect and marketing costs showing a positive enhancing effect. This study confirms that both technological and market orientations directly influence the business performance of Innopolis Start-ups, thus being crucial factors affecting their growth. Moreover, it establishes that investments in marketing and R&D play significant roles in alleviating initial entry barriers and enhancing financial performance. Consequently, it underscores the importance of reinforcing technological and market orientations tailored to the characteristics of Innopolis Start-ups. Additionally, it proposes five theoretical contributions: strengthening institutional support systems for technology commercialization and innovation, improving qualitative evaluation criteria during the selection process of Innopolis Start-ups, conducting comprehensive analyses of technological and market aspects during startup selection, enhancing support for marketing education and consulting for smooth market entry, and supporting expenditure strategies and milestone setting tailored to the industrial characteristics of individual Innopolis Start-ups.
Journal of the Korea Institute of Information and Communication Engineering
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v.17
no.9
/
pp.1975-1985
/
2013
Telecommunication costs have been increasing successively in Korean households. Even though there are a lot of issues related to the high charges of mobile telecommunication services, plausible solutions have not been provided yet. 99% of Koreans use mobile phones and it is the highest in the world, but charges are relatively high. This situation may be brought by the government policy that supports 'three companies system.' Even the least efficient company might sustain by a tacit bottom price policy and the government did not introduce MVNO into the market. The government can make mobile phone charge system consider cost only in a proper manner and constrain marketing costs to the rational level. And it can reduce mobile charges and rights of consumers must be respected by restraining too much complicated rates system. Fairness of mobile phone charges could be achieved by mobile phone market structure improvement through active introduction of MVNOs and reduction of excessive marketing costs. If proper market structure and policy management are secured, 30% cut of charges could be achieved. And mobile service bills may be made more acceptable if charge is based on a measured rate system according to the amount of data usage.
The basic strategy of OSMU(One-source Multi-use) in digital image is a marketing that applying one source to other genres for leverage based on that cross-referencing in different genre enabled that one material(one-source) has synergy effect when reproduced to various products(multi-use) as cultural sources are available through on-line and digital format. Recently, according to the characteristics of culture industry with Window Effect, many culture contents such as movies, games, animations and characters are carefully planned at its design stage to get the maximum effect. Especially, the fact that one leading-trend source makes it easier to produce additional products with the least cost is observed and it enables organized management which resulted in low marketing and PR cost. This paper confirmed that OSMU strategy in Korea mainly get started from online to offline comparing to Japan and USA.
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