The purpose of this paper is to propose a method for business process system (BPS) based on the Internet of Things (IoT). As the results of this research the IoT architecture and the business process design are derived. The main findings include the proposed IoT-enabled BPS method, illustrated by the description of the application and its assessment. In addition, the key business processes namely; remote machine monitoring; maintenance of machine; material procurement; product pricing; and information reporting system, are affected by IoT technology. The proposed method of this research could be the reference for the companies which want to have better management performance based on IoT technologies.
This paper is designed to suggest marketing strategies suitable for each classified group by subdividing high school students, the new-generation consumers, by clothes-shopping orientation at jean markets and by identifying the demographic characteristics and the purchasing behavior of each classified group. The subjects consist of 644 high school students. female and male, in Seoul, who responded to my questionnaire research. In terms of the clothes-shopping orientation, pleasure shopping orientation, brand-based shopping orientation, fashion-oriented one, convenience-oriented one and economic one are in sequence. In light of the consumer group based on the factors of clothes-shopping tendencies, the convenience-oriented group ranks first, which is followed by pleasure shopping group, brand-based shopping group and economic one. The subjects turn out to have purchased jeans at time of necessity, The subjects are most liable to get information from their friends, which is followed by their shopping experiences and display. And they turn out to be little affected by family members, salespersons and the press. They regarded aesthetic standards as one of the most important standards, which are followed by size, fitting, personality expression and prices in order. On the other hand, they think little of such factors as friends and similarity. In terms of the standards to make a selection of shops, the respondents cite the quality of goods, the prices of jeans, and service. They didn't think much of the importance of the persuasion of those around them, the convenience of mass transportation facilities, and the approving rate of brands and so on. They resort to wholesale markets, department stores and low-pricing shops in sequence. They turn out not to be satisfied with product guarantees, and fashion. They relied on aggressive approaches like exchanges and refund in case they were dissatisfied with jeans.
Purpose - This study conducts an empirical analysis on gasoline pricing of Korean retail gas stations focusing on spatial effects. Unlike previous studies, the study uses an official land price for a proxy of the importance of location, and also allows the spatial effects from other competing gas stations as well. Research design, data, and methodology - In collection of data, we obtain more abundant data than those of previous studies. The gasoline prices used in the study are 909,084 observations as daily data from January 1 to July 31 of the year 2016. A proxy for the land price is collected by linking official public land price data with address information on each gas station. For the estimation, the study employs the Panel Spatial Dubin Model to make the best use of the collected location information. Results - As expected, spatial properties of gas stations have significant effects on the gasoline price. As the price per square meter increases by 100 thousands won, the price of gasoline rises 9 won per liter. Among other characteristics, the price increases by 16 won per liter if the station has a convenience store, and about 5 won if it has a car wash service. Gasoline price in Singapore accounted for 26% of variations in domestic gasoline prices. SK Energy and GS Caltex are the top brands in terms of price. The study also finds prices and other important properties of competing gas stations have significant effects on others' prices. Prices of competing gas station have a positive relationship with those of others. If a competing gas station raises the price, the gas station also raises the price, and lowering the price lower the price. Among brands, GS Caltex has the greatest downward pressure on nearby gas stations. Conclusions - The study confirms that location value of gas stations affect their gasoline prices, and the prices of the competing gas stations also have a significant effects on their prices. It suggests that the prices in the competing retail areas tend to be synchronized with each other.
As the innovation of Information technology in the Public sector is in progress, the "Efficient adaptation and management of information system Act" (passed the National Assembly in December 30, 2005) was established to support the information system planning and development which are systematic and integrated in the enterprise view point. The public sector should adopt Information Technology Architecture into it's organization by the act. This paper reports on the issues, solutions and CSFs (Critical Success Factors) considering the adoption of ITA through the implementation for the case of the Korea Post. To adopt ITA program to the Public sector successfully, Korea Government should set the clear goals for IT A, set the standards for IT A project pricing, and collaborate with the system integration industry to make successful IT A program cases. The case study of Korea Post of MIC will be useful in developing and managing ITA programs for all agencies and organizations considering adoption of ITA.
This study investigated organic coffee choice motives from a coffee shop market segmentation perspective in order to understand the potential importance they may have upon attitudes and behavioral intentions to buy organic coffee. A factor-cluster segmentation approach was used for this study. An exploratory factor analysis identified five organic coffee choice motives: 'Sensory', 'Environment', 'Trust', 'Health' and 'Price'. Based upon these five choice motives, cluster analyses classified all respondents into three homogeneous subgroups: 'Highly motivated', 'Moderately motivated' and 'Unmotivated'. Analysis of variance tests indicated that attitudes and intentions to purchase organic coffee were significantly different among the three clusters. In particular, two cluster groups representing 'Highly motivated' and 'Moderately motivated' were found to offer the most utility for further organic coffee market segmentation research. Especially, due to perceptions about high price premium of organic coffee, the 'Moderately motivated' group had higher positive attitudes, although, their intentions to buy organic coffee were not higher than those of the 'Unmotivated' cluster. Findings support previous research propositions that high price could be the strongest barrier for people to purchase organic products including the organic coffee business context. This will assist to market and promote pricing strategies for caf$\acute{e}$s and restaurants to optimize organic coffee sales revenue. Implications for all cluster groups regarding unique socio-demographic characteristics and behavioral intentions are discussed. Organic coffee marketers can apply these findings towards the development of effective target market strategies.
In this paper, UPnP Network SaaS model has been studied. Currently, this model of UPnP Network and the trade mission is being used by outsourcing. From now on, the introduction of new trading systems and existing systems and the commercialization of this model as a UPnP network service connection should work. The future of UPnP network SaaS model will become commercially available software, commercial software can be accessed remotely via the Internet should be. Customer site activities must be managed from a central location. Application software architecture, pricing, partnerships, management should not include the character models. N should be the model. When used in small and medium enterprises have a very high value.
The main objective of this paper is to perform an empirical analysis on the relationship between various marketing activities and financial performance of Korean hospitals. A survey was conducted through structured questionnaire for 495 hospitals, and data from 218 hospitals were utilized in the final anaylsis.(response rate: 44%) Survey items include general characteristics of the hospitals(size, type, location), degree of competition, financial performance. marketing organization! budget, and level of various marketing activities in service development, access improvement, promotion, and pricing. We examine descriptive statistics of the response scores on marketing activities to evaluate the current status of marketing management of Korean hospitals, compare the results across hospital size, type and location, and perform regression analysis to investigate the relaionship between marketing and financial performance. Major findings are as follows: 1) About 46% of the responding hospitals have marketing departments although they are named as 'planning' or 'PR' departments, and the marketing budget on average represents 1.74% of the total expenditures. 2) Average level of marketing activities is calculated to be about 3.32 on 5-point scale, meaning that Korean hospitals implement their marketing programs 'somewhat actively'; however, the scores on the areas of marketing plannning and strategy are relatively low. 3) Large hospitals tend to be more active in marketing than small hospitals, and public hospitals' activities in marketing are not lower compared to private hospitals. 4) Level of overall marketing activities is positively related with financial performance measured by various finacial indicators except for profitability, implying that marketing is successful in revenue generation but needs to be more cost-effective. Also, when the marketing variables are separately included in the regression, no significant relationship is found, which means that various marketing activities are more effective when they are collectively implemented.
Proceedings of the Korea Technical Association of the Pulp and Paper Industry Conference
/
2006.06b
/
pp.305-309
/
2006
This paper presents and illustrates the application of a growth and yield model that supports both forest and mill side volume and value estimates. Traditional forest stand growth and yield models represent the forest landowner view of yield and economics. Predicted yields are estimates of what one would expect from a procurement cruise, and current stumpage prices are applied to investigate optimum management strategies. Optimum management regimes and rotation ages obtained from the forest side view are unlikely to be economically optimal when viewed from the mill side. The actual distribution of recoverable manufactured product and its value are highly dependent on mill technologies and configurations. Overcoming this limitation of growth and yield computer models necessitates the ability to predict and price the expected manufactured distribution of lumber, lineal meters of veneer, and tonnes of air dried pulp fiber yield. With these embedded models, users of the yield simulator can evaluate the economics of possible/feasible management regimes from both the forest and mill business sides. The simulator is a forest side model that has been modified to produce estimates of manufactured product yields by embedding models for 1) pulpwood chip size class distribution and pulp yield for any kappa number (Schultz and Matney, 2002), 2) a lumber yield and pricing model based on the Best Opening Face model developed by the USDA Forest Service Forest Products Laboratory (Lewis, 1985a and Lewis, 1985b), and 3) a lineal meter veneer model derived from peeler block tests. While the model is strictly applicable to planted loblolly pine (Pinus taeda L.) on cutover site-prepared land in the United States (US) Gulf South, the model and computer program are adaptable to any region and forest type.
This study classified five types of online food subscription economy: replenishment, curation, surprise, membership, and visitation. An online survey was conducted with 314 customers who experienced 5 types of online subscription economy. This study selected the characteristics of the food subscription economy as convenience, perceived personalization, economic utility, and timeliness through previous studies. The effect of the four characteristics on perceived value (utilitarian and emotional) and the relationship between customer engagement and perceived value, which are dependent variables that have never been used in the food subscription economy, were verified through the S-O-R model. In this relationship, we demonstrated how consumers' personal tendencies, such as need for cognitive closure and self-efficacy, mediate between timeliness and perceived value related to online food delivery. The study results are as follows. Perceived personalization, convenience, and timeliness had a positive effect on the utilitarian value in the order. It also had a positive effect on emotional values in the order of perceived personalization and timeliness. On the other hand, economic utility had no significant effect on practical branches. Customer engagement had a positive effect in the order of emotional value and utilitarian value. The lower the need for cognitive closure the more positive the utilitarian value. The lower the self-efficacy, the more positive the emotional value was perceived. Through the above study, companies that want to operate or start an online food subscription economy need a strategic approach rather than unreasonable price discounts in pricing policy. In addition, it is necessary to focus on marketing activities that provide emotional value by focusing on perceived personalization, which is the satisfaction factor of online food subscription.
Purposes: There exist many non-covered services that the National Health Insurance does not cover, and thus, their prices are set by individual health care providers. However, little study has been done to investigate how hospitals set prices for those services. The purpose of this study is to examine the relationship between ownership, profitability, and prices of those services for a sample of general hospitals. Methodology/Approach: Data regarding the prices of major non-covered services (e.g., upper-level hospital room fees, MRI, Da 7inci robot surgery, and LASIK) were obtained from the Health Insurance Review and Assessment Service and the financial information, as well as other characteristics, were derived from the financial reports from the Korea Health Industry Development Institute. Descriptive statistics, t-tests, and multiple linear regression analyses were used to test the relationship between the independent variables and the dependent variables. Findings: Hospitals owned by private universities appeared to have higher prices for non-covered services while regional public hospitals tend to have lower prices. Profitability, measured by operating margin, was not significantly related to the prices. Hospitals that charge higher prices were more likely to be located in the capital area (Seoul, Incheon, and Gyeonggi), and to employ larger number of personnel. Practical Implications: Public hospitals tend to charge lower prices for non-covered services. Relative market power appears to be related to pricing. Further research is needed to investigate whether such a relationship varies over time and its effects on the quality and access.
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