This paper aims to extract an ObjectProperty-UsageMethod relation, in particular the HerbalMedicinalPropertyUsageMethod relation of the herb-plant object, as a semantic relation between two related sets, a herbalmedicinal-property concept set and a usage-method concept set from several web documents. This HerbalMedicinalProperty-UsageMethod relation benefits people by providing an alternative treatment/solution knowledge to health problems. The research includes three main problems: how to determine EDU (where EDU is an elementary discourse unit or a simple sentence/clause) with a medicinal-property/usage-method concept; how to determine the usage-method boundary; and how to determine the HerbalMedicinalPropertyUsageMethod relation between the two related sets. We propose using N-Word-Co on the verb phrase with the medicinal-property/usage-method concept to solve the first and second problems where the N-Word-Co size is determined by the learning of maximum entropy, support vector machine, and naïve Bayes. We also apply naïve Bayes to solve the third problem of determining the HerbalMedicinalProperty-UsageMethod relation with N-Word-Co elements as features. The research results can provide high precision in the HerbalMedicinalProperty-UsageMethod relation extraction.

This research aimed to investigate the frameworks that help create the remarkable image of the retail stores in terms of environment, shop management and product as well as the ability of the staff to operate the convenience stores. The samples were ten convenience stores. The composition and characteristics of each retail store were observed in terms of their external and internal environments, the atmosphere, products, and staff in order to perform a qualitative analysis of their symbolic and functional images and a quantitative analysis by scoring on each component. Data were then analyzed by descriptive statistics. Using the K-Mean method, these stores were divided into two groups, i.e. good stores and improvement-needed stores. The exploratory factor analysis found that the corporate image management of retail business (Downstream) can be classified into two factors: storefront management and product and customer management.

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The objective of this research was to investigate the knowledge from closed and open systems that affect the innovation capability of employees in the Thai automotive industry. The study was conducted by reviewing related literature and theories and holding a small group meeting with experts in the automotive industry to review the research model and factors obtained from this study. This research is only part of the main research that we are currently studying. The results from this research have led to the research model. According to the research results, knowledge from a closed system can be divided into two types: 1) Knowledge from on-the-job training that consists of six factors; i.e. Coaching, Mentoring, Job rotation, Job instruction, Apprenticeship, and Understudy, and 2) Knowledge from off-the-job training that consist of one factor, i.e. Conference and seminar. In addition, knowledge from an open system can be divided into five factors, i.e. Free open software, Business partnership, Customer knowledge, Supplier knowledge, and University knowledge. The results obtained from this research will be used to additionally expand the development of research model in order to study the population, collect data, and extend results of the next research.

This research aimed to study the application of knowledge to create open innovation of Thai automotive parts manufacturers. Data collection was conducted by using an in-depth interview form that was developed by setting interview topics and open-ended questions, including a small-group meeting of experts in the automotive industry to test and revise the interview form. According to the study, it was found that a problem of the innovation of Thai automotive parts manufacturers today was concerned with a lack of knowledge sharing between organizations as well as a lack of applying external knowledge in their organizations. As a result, they were required to spend a lot of money for in-house research and development. In addition, when unable to develop themselves, most companies bought a number of technologies and innovations to use in their organizations, which is considered a closed innovation. Since the Thai automotive parts manufacturers have created a very small number of innovations compared to other countries, it is necessary to accelerate the development of innovations by focusing on obtaining and using external knowledge to reduce development period and gain new knowledge. According to the research results, external knowledge source obtained from customers through their complaints and information of use problems was important and necessary for organization innovation. Thai automotive parts manufacturers can use this information to develop and improve their organization innovation. Moreover, according to the research results, most companies used a trial and error method starting from the operations of their employees to lead to the best practices of their organizations.