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- P-ISSN1738-3110
- E-ISSN2093-7717
- SCOPUS
ISSN : 1738-3110
Vol.17 No.11
Abstract
Purpose: This study aimed to empirically demonstrate how self-esteem, self-efficacy, locus of control, and neuroticism, which is core self-evaluation factors of door-to-door salespersons within food and cosmetic retail industry, affected the sales performance of female salespersons via job satisfaction and organizational commitment. Research design, data and methodology: Using a 23-item questionnaire constructed based on previous studies, this study selected six domestic door-to-door sales companies and conducted a 1:1 face-to-face survey with female door-to-door salespersons belonging to branches and agencies in Seoul and the capital region. The data of 208 respondents were analyzed. The results of path analysis based on structural equation modeling and mediation analysis through the Sobel test were presented. Results: Self-efficacy and locus of control had the largest effect on job satisfaction and organizational commitment, respectively. Neuroticism, however, did not significantly influence job satisfaction and organizational commitment. Overall, core self-evaluation factors positively affected sales performance via job satisfaction but not via organizational commitment. Conclusions: This study found that factors which were oriented to female salespersons' ability and sales goals, such as self-efficacy and job satisfaction, were considered important in managing them in the door-to-door sales-distribution channels. In the future, policies should be developed for managing female door-to-door salespersons to help them achieve job satisfaction.
Abstract
Purpose: Mobile media is gaining ground as an independent and core platform, and corporate interest and the expectations forstrategic use are rising in one-person media. Therefore, this study aims to establish interactivity, entertainment, information, professionalism, and up-to-date as the sub-factors of one-person media advertising properties, and to study the effect of one-personmedia advertising attributes on purchasing intention. Research design, data, and method: After collecting data from a total of 202 people, including 106 men and 96 women with the online survey method, frequency analysis and regression analysis were conducted using SPSS 25.0. Results: Research has shown that information, professionalism, entertainment, and up-to-date have a significant influence on purchasing intent. In addition, although information and expertise are found to have a significant influence on trust which shows a direct impact on the purchasing intention, the results of verification for the effect of purchasing intent through the medium of trust found to be significant in entertainment, information and up-to-date. Conclusions: There is a difference in Professionalism and Entertainment between men and women. This study provided the suggestions for establishing the most effective measures and marketing strategies in producing one-person media advertisements.
Abstract
Purpose: This study explored the improvement and the direction of the smart disaster management system newly attempted in South Korea by analyzing the utilization of the existing system. This study focuses on making it easy to apply to user tasks and improving on site information. Research design, data and methodology: Problems were identified through field surveys with administrators in charge of administration and public institutions based on GIS based status board for NDMS which is widely used in Korea. Also, this study attempted to generalize to specialists in disaster management who are more likely to use the system in the future. Results: We derived improvement plans and verified the results through expert feedback. The results show that the GIS based status board for NDMS is cumbersome to use due to the vast array of unnecessary information compared to the high expected utilization. Conclusions: We found that improving the speed and accuracy of the smart disaster management information delivery system is necessary. Also, it is important to identify reasons for not improve the willingness to use this technology in disaster management and to figure out the process by which field personnel makes decisions that smart disaster information cannot be used for disaster management.
Abstract
Purpose: The purpose of this study is to suggest strategic implications about empirical analysis with mediation effects of corporate image in terms of that relations between logistics culture safety, safety compliance and logistics performance of logistics companies. Research design, data and methodology: The structure and method of this research is organized with, first establishing hypothesis and research model based on previous study related to safety culture, safety compliance, corporate image, logistics safety and logistics performance, which has been carried out survey questionnaire to those who got involved in logistics businesses. Results: It is well justified that safety culture and safety compliance have significantly influenced to logistics performance as well as corporate images that is also revealed to have positive impact to logistics performance. With results verifying into mediation effects of corporate image, it is found that corporate image has partial mediation effects between logistics safety culture and logistics performance, and corporate image has full mediation effects between logistics safety compliance and logistics performance. Conclusions: In conclusion, it is strongly asked to make an aggressive efforts to safety compliance with necessity for spread of safety culture in level of enterprise. Planning the strategy and its implementation is required to secure safety in logistics process because both logistics performance and corporate image has positive influences by logistics safety.
Abstract
Purpose: This study specifically discusses why coffee shop customers want to revisit coffee shops. In addition, we would like to verify the mediated effect of the emotional reaction in relation to the influence of the experience values of the Chinese coffee shop on the re-visit of the coffee shop. Research design, data and methodology: Regression and reliability analyses were conducted. Simple regression was used for stock price verification, and the bootstrap method of model4 of Hayes was performed for the intermediate hypothesis verification. Results: This study confirmed that the experience values of coffee shops (entertainment, aesthetic, economic efficiency, and service excellence) have a significant influence on customers' intention to revisit coffee shops. Conclusions: Managers can check that the level of revisit by customers is increased by increasing the elements of experience value. In addition, studies have shown that the customer's emotional reactions play a significant mediating role in the relationship between the value of the experience and the customer's intention to revisit the coffee shop. This suggests that the coffee shop operator should focus on the emotional response of its customers and devise strategies to ensure that the value of the experience is connected to the intent of revisiting.
Abstract
Purpose: This research aims to study the internal and external social practices of supply chain management along with economic and social performance of eight Portuguese companies from different industrial sectors. Through empirical data derived from eight case studies, five research propositions are suggested and tested. Research, design, data and methodology: The data was collected through 22 semi-structured interviews with general, procurement, and environmental/safety managers from eight companies from different industrial sectors. Secondary data was collected from reports, websites, and companies' internal documentation. Results: The analysis identifies the most important social practices considered by managers, as well as the performance measures that are most appropriate and most widely used to evaluate the influence of social practices on corporate economic and social performance. The results support four of the five propositions of this research. Companies' economic and social performance are affected by the implementation of social practices into the supply chain, namely the internal social practices. Conclusions: The findings confirmed that there is a positive relationship between internal social practices and economic performance. Internal social supply chain practices contribute to improve social performance. It also identifies the social practices which have negative effects on focal company performance.
Abstract
Purpose: Black Friday is a globally used as a promotion event. A lot of South Korean retailers also have used it as their promotion concepts. But South Korean Consumers' response to Black Friday has never been investigated academically. This study examined Black Friday shopping of South Korean consumers, including experiences, perceptions, motives and shopping mechanism. Research design, data and methodology: To verify the purposes of this research, a survey was conducted with 462 participants. This study analyzed descriptive features of experiences, perceptions and motives and developed and tested the model of shopping mechanism. Results: South Korean consumers perceive Black Friday as one of the credible marketing tactics offering a big price discount. They have generally positive perceptions and shopping experiences toward Black Friday. The key motive of Black Friday shopping is for saving cost. In addition, for South Korean consumers, perceived deal value, perceived innovativeness, saving cost motive and fun motive are important antecedents of shopping on Black Friday, and attitude toward Black Friday plays a mediating role between antecedents and shopping behavior. Conclusions: The findings of this study provide practical and theoretical insight to understand the impact of Black Friday in South Korea.
Abstract
Purpose: The purpose of this study was evaluated to compare the predictive power of distress prediction models by using discriminant analysis method and logit analysis method for food service franchise industry in Korea. Research design, data and methodology: Forty-six food service franchise industry with high sales volume in the 2017 were selected as the sample food service franchise industry for analysis. The fourteen financial ratios for analysis were calculated from the data in the 2017 statement of financial position and income statement of forty-six food service franchise industry in Korea. The fourteen financial ratios were used as sample data and analyzed by t-test. As a result seven statistically significant independent variables were chosen. The analysis method of the distress prediction model was performed by logit analysis and multiple discriminant analysis. Results: The difference between the average value of fourteen financial ratios of forty-six food service franchise industry was tested through t-test in order to extract variables that are classified as top-leveled and failure food service franchise industry among the financial ratios. As a result of the univariate test appears that the variables which differentiate the top-leveled food service franchise industry to failure food service industry are income to stockholders' equity, operating income to sales, current ratio, net income to assets, cash flows from operating activities, growth rate of operating income, and total assets turnover. The statistical significances of the seven financial ratio independent variables were also confirmed by logit analysis and discriminant analysis. Conclusions: The analysis results of the prediction accuracy of each distress prediction model in this study showed that the forecast accuracy of the prediction model by the discriminant analysis method was 84.8% and 89.1% by the logit analysis method, indicating that the logit analysis method has higher distress predictability than the discriminant analysis method. Comparing the previous distress prediction capability, which ranges from 75% to 85% by discriminant analysis and logit analysis, this study's prediction capacity, which is 84.8% in the discriminant analysis, and 89.1% in logit analysis, is found to belong to the range of previous study's prediction capacity range and is considered high number.
Abstract
Purpose: The salesperson, the core of the operating activities, plays the role of connecting the inside and outside of the company, representing the company to the consumer and identifying and responding to the customer's needs. The department store industry is the most representative retail industry in South Korea, and competition among its peer group and industry is intensifying, requiring differentiated service sales activities and performance from its employees. This study divided the sales force system into activity control(process-oriented control) and output control(performance-oriented control) and verified the differential impact on the job attitude of the salesperson (e.g., job satisfaction and burn-out), respectively. In addition, the effect of job satisfaction and burn-out of the salesperson on the job performance were checked. Research design, data, and methodology: The survey was conducted on 200 sales people working at five branch stores of Hyundai department store in Seoul, and 194 of them were analyzed. The reliability and validity of the variables were analyzed and hypotheses were verified through the SEM. Results: Results have shown that activity control has a greater impact on burn-out compared to output control, and output control has a greater impact on job satisfaction compared to activity control. It has been shown that the salesperson's burn-out does not affect sales performance, but that job satisfaction has a positive effect on sales performance. Conclusions: This study examines the effect of sales force management system such as activity control and output control, on the job attitude and sales performance in department stores. According to the results of this research, each of two control systems have a discriminatory effect on the job attitude variables. For the sales managers of department store, it is recommended to increase the efficiency of sales management by increasing the use of outcome control compared to activity control.
Abstract
Purpose: Blockchain technology suggests ways to solve the problems in the existing industry. Among them, Cryptocurrency system, which is an element of Blockchain technology, is a very important factor for operating Blockchain. While Blockchain cryptocurrency has attracted attention, studies on cryptocurrency prices have been mainly conducted, however previous studies mainly conducted on Bitcoin prices. On the other hand, in the context of the creation and trading of various cryptocurrencies based on the Blockchain system, little research has been done on cryptocurrencies other than Bitcoin. Hence, this study attempts to find variables related to the prices of Dash, Litecoin, and Monero cryptocurrencies using machine learning techniques. We also attempt to find differences in the variables related to the prices for each cryptocurrencies and to examine machine learning techniques that can provide better performance. Research design, data, and methodology: This study performed Dash, Litecoin, and Monero price prediction analysis of cryptocurrency using Blockchain information and machine learning techniques. We employed number of transactions in Blockchain, amount of generated cryptocurrency, transaction fees, number of activity accounts in Blockchain, Block creation difficulty, block size, umber of created blocks as independent variables. This study tried to ensure the reliability of the analysis results through 10-fold cross validation. Blockchain information was hierarchically added for price prediction, and the analysis result was measured as RMSE and MAPE. Results: The analysis shows that the prices of Dash, Litecoin and Monero cryptocurrency are related to Blockchain information. Also, we found that different Blockchain information improves the analysis results for each cryptocurrency. In addition, this study found that the neural network machine learning technique provides better analysis results than support-vector machine in predicting cryptocurrency prices. Conclusion: This study concludes that the information of Blockchain should be considered for the prediction of the price of Dash, Litecoin, and Monero cryptocurrency. It also suggests that Blockchain information related to the price of cryptocurrency differs depending on the type of cryptocurrency. We suggest that future research on various types of cryptocurrencies is needed. The findings of this study can provide a theoretical basis for future cryptocurrency research in distribution management.