• Journal of Intelligence and Information Systems
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• v.23 no.4
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• pp.77-110
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• 2017

Recently, the diversification and individualization of consumption patterns through the web and mobile devices based on the Internet have been rapid. As this happens, the efficient operation of the offline store, which is a traditional distribution channel, has become more important. In order to raise both the sales and profits of stores, stores need to supply and sell the most attractive products to consumers in a timely manner. However, there is a lack of research on which SKUs, out of many products, can increase sales probability and reduce inventory costs. In particular, if a company sells products through multiple in-store stores across multiple locations, it would be helpful to increase sales and profitability of stores if SKUs appealing to customers are recommended. In this study, the recommender system (recommender system such as collaborative filtering and hybrid filtering), which has been used for personalization recommendation, is suggested by SKU recommendation method of a store unit of a distribution company that handles a homogeneous brand through a plurality of sales stores by country and region. We calculated the similarity of each store by using the purchase data of each store's handling items, filtering the collaboration according to the sales history of each store by each SKU, and finally recommending the individual SKU to the store. In addition, the store is classified into four clusters through PCA (Principal Component Analysis) and cluster analysis (Clustering) using the store profile data. The recommendation system is implemented by the hybrid filtering method that applies the collaborative filtering in each cluster and measured the performance of both methods based on actual sales data. Most of the existing recommendation systems have been studied by recommending items such as movies and music to the users. In practice, industrial applications have also become popular. In the meantime, there has been little research on recommending SKUs for each store by applying these recommendation systems, which have been mainly dealt with in the field of personalization services, to the store units of distributors handling similar brands. If the recommendation method of the existing recommendation methodology was 'the individual field', this study expanded the scope of the store beyond the individual domain through a plurality of sales stores by country and region and dealt with the store unit of the distribution company handling the same brand SKU while suggesting a recommendation method. In addition, if the existing recommendation system is limited to online, it is recommended to apply the data mining technique to develop an algorithm suitable for expanding to the store area rather than expanding the utilization range offline and analyzing based on the existing individual. The significance of the results of this study is that the personalization recommendation algorithm is applied to a plurality of sales outlets handling the same brand. A meaningful result is derived and a concrete methodology that can be constructed and used as a system for actual companies is proposed. It is also meaningful that this is the first attempt to expand the research area of the academic field related to the existing recommendation system, which was focused on the personalization domain, to a sales store of a company handling the same brand. From 05 to 03 in 2014, the number of stores' sales volume of the top 100 SKUs are limited to 52 SKUs by collaborative filtering and the hybrid filtering method SKU recommended. We compared the performance of the two recommendation methods by totaling the sales results. The reason for comparing the two recommendation methods is that the recommendation method of this study is defined as the reference model in which offline collaborative filtering is applied to demonstrate higher performance than the existing recommendation method. The results of this model are compared with the Hybrid filtering method, which is a model that reflects the characteristics of the offline store view. The proposed method showed a higher performance than the existing recommendation method. The proposed method was proved by using actual sales data of large Korean apparel companies. In this study, we propose a method to extend the recommendation system of the individual level to the group level and to efficiently approach it. In addition to the theoretical framework, which is of great value.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2043-2055
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• 2014

This paper empirically investigates the effects of technology licensing on the licensee firm's performance with the help of a unique data set of observed licensing transactions in Information and Communication Technology (ICT) industry. We examine how intensity of licensing participation as a licensee affects the firm's performance. This study also analyzes how relationship between the licensor and the licensee in a deal along with characteristics of participants and their industry influences the performance of the licensee firm. The findings suggest that frequent participation in technology licensing increase licensee firm's sales growth. Also, transaction cost considerations and technology spillovers are important explanatory factors that influence licensee firms' performance in licensing.

• Journal of Auto-vehicle Safety Association
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• v.8 no.3
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• pp.22-27
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• 2016

As a preliminary research to provide amendment for the engine performance test regulation of two-wheeled vehicles, the engine performance data are investigated in terms of maximum torque, rated power, and engine speed of motorcycles on sales in Korean market. Based on the engine performance database officially published to consumers, some forecasted problems are discussed when the maximum torque and the rated power are measured under the present test standards. EU and Korea regulations on engine performance test are carefully compared in terms of the accuracy of measurement devices, test procedures including data acquisition method, and allowable range of rated power measurement. Complementary items are discussed to eliminate ambiguities in the present regulation and to construct rational regulation system.

• The Journal of Economics, Marketing and Management
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• v.2 no.1
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• pp.1-17
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• 2014

In today's highly competitive and fast changing business environment, key account management-a supplier company initiated relationship marketing approach targeted at the most important customers to solve their complex requirements with special treatment that eventually ensures both parties' financial and nonfinancial objectives- has regarded as a strategic weapon of many companies' sales efforts to manage their strategically important customers. On the basis of the existing studies, this research introduces a theoretical model highlighting the hypothetical relationship between key account management performance and repeat order. In addition, moderating effect of length of relationship on the relationship between key account management performance and repeat order is also introduced. We theorize the conditions under which key account management performance influences key customer repeat order behavior as well as the influence of moderating variable of length of relationship on key account management performance-repeat order relationship. Theoretical and managerial implications are provided along with suggestions to isolate a platform for future empirical research.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.22-31
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• 2017

This study has begun with the perception that proper measuring system is required to grow community business in equilibrium and to grope for some developmental directions of it. First, for effective performance evaluation of community business, the study developed a performance evaluation model based on balanced score cards, and to apply validity analysis and analytic hierarchy process (AHP) by classifying. Second, the relative importance of the second indicator for each of the first aspects shows that participation of local residents and in the aspect of person interested, satisfaction of inner education in the aspect of learning and growth, shortening of work process in the aspect of inner process, and sales per head in the aspect of substantiality were high in relative importance. Third, in the result of calculation of overall weight for each aspect, participation of local residents, a business connection to the community, sales per head were ranked in the upper group. Thus, it's now necessary to have management support through fostering intermediate support organizations in community business which has been bureaucratic, and improvement of product and service through connection with outside consulting agencies and strategic alliance with the leading businesses is required.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.459-467
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• 2018

This study aim to analyze the factors affecting technical support input and performance of companies benefiting from ICT SME technology support operated by ETRI. In order to analyze the data, we surveyed 181 companies who received technical support between 2015 and 2017, and analyzed the relationship between input factors and performance factors through path analysis. As a result of the study, it was found that the service quality was directly influenced on the improvement of technology level, and the cost reduction effect was influenced by the amount of support, the year of support, and the service quality. Also, input factors affecting contribution sales are the amount of support, and the support year and quality of support services are not effective. Finally, as a result of examining the effect of technological and economic performance on job creation, it is found that the effect of job creation increases as the contribution sales increase.

• Journal of Convergence Society for SMB
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• v.2 no.2
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• pp.21-26
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• 2012

This paper analyzes business performance that together influence firms to adopt IMS, which is the standard primarily concerned with an IMS. We predict that the firm's financial characteristics will also influence the IMS adoption in our analses. This study tests three hypotheses on management performance of adoption of IMS. The main findings are as follows. The first hypotheses is supported in terms of debt ratio, fixed assets to net worth and fixed liabilities, net sales groth rate respectively at the 1%, 5%, and 5% significance level. The second hypotheses is supportrf in terms of gross margin on sales and total assets turnover at the respective rates of 1% and 10% significance level. The third hypotheses is supported in terms of current ratio, debt ratiom fixed assets to net worth and fixed liabilities at the respective rates of 10% and 1% significance level.

• Journal of Distribution Research
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• v.9 no.1
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• pp.93-110
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• 2004

One of the most important things in channel of distribution is the management of intrachannel conflict. In this study, 1 tried to find out the major sources of conflict among distribution channel members of gasolin industry and home electronics industry which have two types of distribution channels - sales branch and agency. I also investigated how the level of conflict influences the business performance of the channel member. The results of the study showed that the imbalance of power, nonfulfillment of roles by manufacturers, nonfulfillment of roles by dealer, divergence in perceptions, intrachannel communication problem have positive relation but role clarity has negative relation with conflict. The results also indicate that the more power supplier exerts upon dealer, the less supplier and dealer practice their roles, and the more communications problem there is, there will be more conflict between channel members. I also analyzed the relationship between conflict and business performance and the result came out as expected: the more conflict there is the less business performance. Some difference was found between sales branch and agency on that aspect. Managerial implications and limitations of the study were also discussed.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.1
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• pp.84-99
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• 2014

In this study, determinant input-output variables are identified for calculating Data Envelopment Analysis (DEA) efficiency scores relating to evaluating the efficiency of government-sponsored research and development (R&D) projects. In particular, this study proposes a systematic framework of design and analysis of experiments, called "all possible DEAs", for pinpointing DEA determinant input-output variables. In addition to correlation analyses, two modified measures of time series analysis are developed in order to check the similarities between a DEA complete data structure (CDS) versus the rest of incomplete data structures (IDSs). In this empirical analysis, a few DEA determinant input-output variables are found to be associated with a typical public R&D performance evaluation logic model, especially oriented to a mid- and long-term performance perspective. Among four variables, only two determinants are identified : "R&D manpower" ($x_2$) and "Sales revenue" ($y_1$). However, it should be pointed out that the input variable "R&D funds" ($x_1$) is insignificant for calculating DEA efficiency score even if it is a critical input for measuring efficiency of a government-sonsored R&D project from a practical point of view a priori. In this context, if practitioners' top priority is to see the efficiency between "R&D funds" ($x_1$) and "Sales revenue" ($y_1$), the DEA efficiency score cannot properly meet their expectations. Therefore, meticulous attention is required when using the DEA application for public R&D performance evaluation, considering that discrepancies can occur between practitioners' expectations and DEA efficiency scores.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.1-11
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• 2019

Based on the knowledge spillover theory of entrepreneurship(KSTE) and resource based view(RBV), this study examines that how patent based entrepreneurship impacts on improving key performances such as financing, firm innovation, sales, product selling growth, employment. This study which is conducted with data from 353 startup firms indicates that patent based entrepreneurship has positive effects on performance of financing, innovation, product selling growth, and employment. On the other hand, there is no effect of patent-based entrepreneurship on sales performance. This statistical results were the same The results were the same when the independent variables were measured as intensity of patent based entrepreneurship which indicates the rate of patent based product or service among total number of product or service of the startup company.