This paper evaluates the role of fund distributors and the appropriateness of sales fees in funds by the empirical analysis of Korean equity funds. The empirical results are summarized as follows. First, this paper shows that the funds with higher sales fees do not have better performance. Rather, the higher sales fees cause the returns of funds to decrease in Korean equity funds. Second, it is not confirmed that both banks and securities firms, as fund distributors, contribute to the better performance of funds. Especially, the banks gave more negative influence on the performance of funds by imposing higher sales fees in funds than the securities firms. The empirical results suggest that the sales fees of funds are unduly imposed in comparison to the function of fund distributors and therefore, the structure of fund fees should be improved for the benefit of fund investors.
The Journal of Asian Finance, Economics and Business
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v.5
no.4
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pp.187-199
/
2018
This study examined the effects of startup firm's knowledge assets on the effectiveness of their sales strategies, efficiency of sales activities, and management performance, after categorizing these assets into customer knowledge assets and technology knowledge assets. Furthermore, the moderating effects of promotion focus by CEOs and sales managers of startup firms were analyzed. For the analysis, dyadic questionnaire surveys were conducted targeting the CEOs and sales managers of startup firms established at the Gyeongnam Technopark and the KAIST Technology Business Incubation Center in Korea. Hypotheses were verified through structural equation modeling, and moderating effects were identified through ANOVA. CEO's customer knowledge asset strengthened their effectiveness of sales strategies, and sales manager's technology knowledge asset strengthened the efficiency of their sales activities. Also, CEO's effectiveness of sales strategies and sales manager's efficiency of sales activities have been found to enhance startup firm's management performance. Meanwhile, the moderating effect of promotion focus strengthened CEO's effectiveness of sales strategies through CEO's customer knowledge asset and interaction as CEO's promotion focus level increased, but promotion focus of sales managers did not have any significant interaction effect. This study provides implications by offering empirical evidence on startup firms with regard to knowledge assets.
Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.
In previous research, large companies were analyzed to focus on their past management performance and patent rights, but in this study we looked at the variability in future sales of small and medium-sized enterprises with patents through empirical analysis. We looked at how the quantitative and qualitative value of patent rights affect management performance of company. We used 'the number of patents' as the quantitative value of patents, 'the average score of patents' as the qualitative value of patents, and the average sales growth rate as the management performance of company. Through a discriminant analysis using the statistical program SPSS, both independent variables used in this study were significant for distinguishing between companies with an average growth in sales more than twice that of general small and medium-sized enterprises and those with less than twice the average sales growth rate. Therefore it is meaningful to provide stakeholders with an analysis framework on how sales will change in the future using the results of this study during guarantee or loan screening for small and medium-sized enterprises with patent rights.
Proceedings of the Korea Society of Information Technology Applications Conference
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2005.11a
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pp.305-310
/
2005
Recently, many organizations in various industries have introduced e-businesses for the purpose of adding value to their businesses. However, due to no comparable business models to e-business in the past, there are no reliable yardsticks to predict the performance of an e-business. This paper considers an environmental change analysis as a means to resolve this difficulty. System Dynamics (SD) could be a useful tool to generate effective results by examining the e-business model. SD model is developed to analyze the effects of an e-sales channel which was appended to the existing sales channels in the steel manufacturing industry. The results show an increase in average price and sales volume through the use of an auction process on the e-marketplace. Stocking expenses are reduced as well by the increase of the sales turnover. A possible scenario was adopted to the developed simulation model and investigated strategic issues to draw desirable strategies with market changes.
Journal of Korean Society of Industrial and Systems Engineering
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v.44
no.3
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pp.240-247
/
2021
As competition among companies has intensified and the life cycle of products has been shortened, strong innovation is needed to meet consumers' needs. In addition, it is necessary to shorten the life cycle of the product and reduce the time required for technology development for the competitive advantage of the product. In particular, venture companies where new technologies and ideas are important require more innovative capabilities than others companies. Therefore, this study analyzed the impact of technology innovation capabilities (product development process capability, human resource capability and financial capability) on sales by technology development for small and medium venture companies and analyzed moderating effect of technology development period on the relationship between technology innovation capabilities and sales by technology development. The data of 'Small and Medium Business Technology Statistics' collected by the government every year were used for analysis. Technology-intensive ventures were extracted from this data. In addition, the moderating effect was analyzed through hierarchical regression analysis. This study shows that product planning capability, test capability, and R&D expenditure have a positive impact on sales by technology development. In this study, the product development period showed a positive moderating effect on product development capability and sales performance. On the other hand, the product development period showed a negative moderating effect on R&D expenditure and sales by technology development.
Purpose The purpose of this study is to implement a optimal machine learning model about the cancellation prediction performance in car sales business. It is to apply the data set of accumulated contract, cancellation, and sales information in sales support system(SFA) which is commonly used for sales, customers and inventory management by imported car dealers, to several machine learning models and predict performance of cancellation. Design/methodology/approach This study extracts 29,073 contracts, cancellations, and sales data from 2015 to 2020 accumulated in the sales support system(SFA) for imported car dealers and uses the analysis program Python Jupiter notebook in order to perform data pre-processing, verification, and modeling that is applying and learning to Machine learning model after then the final result was predicted using new data. Findings This study confirmed that cancellation prediction is possible by applying car purchase contract information to machine learning models. It proved the possibility of developing and utilizing a generalized predictive model by using data of imported car sales system with machine learning technology. It can reduce and prevent the sales failure as caring the potential lost customer intensively and it lead to increase sales revenue by predicting the cancellation possibility of individual customers.
Purpose: This study aims to establish the effects of psychological empowerment on retail sales employees. It further investigates how psychological empowerment can be used to mitigate the factors that affect sales workers in addition to meeting the feelings and emotional wellbeing of sales workers to improve their productivity and the success of their organizations. Research design, data, and methodology: The current author conducted SPSS statistical analysis program to gauge the statistical association between two main constructs (Psychological Empowerment and Job performance) using 217 respondents. The main statistical tool was selected by a multiple regression methodology. Results: The statistical test from the analysis is presented in the finding section and shows that β values and P-values are greater than 0 and less than 0.05 respectively and thus, this research could reject null hypotheses which mention that psychological empowerment cannot be associated with job performance. Conclusions: All in all, this research could conclude that it will improve the attitudes of retail sales workers towards their job, making them self-committed to the tasks assigned through significant psychological empowerment factors. The retention of these workers would be enhanced because they would attain job satisfaction through a positive perception of the tasks assigned to them.
Purpose: This study empirically examines the relations among corporate performance, technology, and corporate capabilities for service companies to find factors that could affect the competitiveness of the service industry. Most study on technology in the service industry have been conducted in developed countries, and yet there exist not sufficient empirical reviews. Research design, data and methodology: This paper, using rare empirical data, examines Korea's service industry and aims to make an academic and managerial contribution to the understanding of the relation between corporate competence and performance. This study analyzes 567 Korean Domestic Companies in Non-manufacturing and Service Industry, using the 2020 Detailed Survey of Venture Businesses (2500) data. Frequency analysis, correlation analysis, and regression analysis are performed. Results: Results show, Hypothesis 1 that internal competence has positive influence on technological strength, is supported. However, Hypothesis 2 that technological strength mediates between internal competence and business performance, Hypothesis 3 that external competence has positive influence on technological strength and Hypothesis 4 that technological strength mediates between external competence and business performance are all partially supported/rejected. Conclusions: This study suggests that technological strength is an important factor that affects both market share and sales. And mediating effect of technology strength emphasized in market share. However, in managing sales, more cautious approach and a more detailed analysis are needed..
The Journal of Asian Finance, Economics and Business
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v.7
no.4
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pp.267-273
/
2020
The research examines the impacts of empowering leadership on teamwork performance of the employees in sales departments at commercial banks in Vietnam. Based on the data from the sample survey of 406 employees in sales departments of commercial banks in Vietnam, the paper uses various types of statistical methods and assesses the reliability of scales with Cronbach's Alpha, Confirmatory Factor Analysis as well as Structural Equation Modeling for analysis. The results show that the Empowering Leadership factor has a directly positive impact on Knowledge Sharing and Teamwork Performance, which means when the Empowering Leadership is positive, the Knowledge Sharing and Teamwork Performance will increase. In addition, Empowering Leadership also has an indirect impact on Teamwork Performance through Knowledge Sharing factor, which means when the Empowering Leadership is positive, the Teamwork Performance will increase. Moreover, Knowledge Sharing factor has a directly positive impact on Teamwork Performance, which means when the Knowledge Sharing factor is positive, the Teamwork Performance will increase. The findings suggest that Empowering Leadership has both directly and indirectly positive influence on Teamwork Performance. Moreover, Empowering leadership has a directly positive impact on Knowledge-sharing while Knowledge-sharing has a directly positive impact on Teamwork Performance of sales departments of commercial banks in Vietnam.
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