The research on local wisdom in local Phetchaburi food of elderlies in Ban Huay Sai Nue to transfer and enhance learning capacity through online learning system is both quantitative and qualitative. It aims to collect local wisdom in local Phetchaburi food from both knowledge and direct experience of elderlies in Ban Huay Sai Nue Cha-am City Municipality Phetchaburi province in order to transfer the local wisdom to youths in Ban Huay Sai Nue and nearby areas as well as to develop local food recipe and procedure in both image and video formats through online learning system to enhance learning capacity of youths and other people. The target group was members of elderly group in Ban Huay Sai Nue which was divided into the major target the minor target and the recipents of technology transfer. Tools used in this reearch included a structured interview form and food recipe recording form. The research was divided into 4 main steps: selection of local wisdom collection of local wisdom transfer of local wisdom and distribution of local wisdom. Results of the research show that the target group selected 12 food recipes 8 dessert recipes and 2 drink recipes. The local wisdom was demonstrated by 9 members of elderly group in Ban Huay Sai Nue. The technology was tranferred to 40 students on Tessaban 6 School Ban Huay Sai Nue Cha-am City Municipality. Results of achievement test showed that trainees’ post-training knowledge was significantly diferent from pre-training knowledge at statistical level of 0.05 and satisfaction in the training process was highest in overall.

Social networking is a popular medium for the business of selling female clothing and has been growing steadily. This is because of ease and availability of access faster communication and lower cost in comparison to competing market media strategies. This study investigates the influence of integrated marketing communications (IMC) on female decision making in social online clothing purchase. The research involves quantitative method by use of questionnaire as a tool in collecting information. The population for this study comprises females who live in Bangkok and use online social networking services. Quota sampling is used to select for a sample size of 445 subjects. The results show that most in the sample group deciding to purchase clothes online with an overview of IMC tools (advertising public relations promotion and direct marketing) are in the moderate range (43.82%). In addition Eta ( ) correlation ratio indicates strong nonlinear relationship between clothing purchase and the IMC tools except for advertising which has a weak positive relationship (0.165). Multiple regression analysis results show that marital status age level of education revenue time using the Internet and times to view products through online social network all have effect on clothing purchase. The sample group outcome suggests that entrepreneurs should pay attention to warranty information on products and prices security of financial transactions and contact with manufacturers in order to encourage consumer online purchasing.

The objectives of this research are to study about character factors of entrepreneur which influence to using of marketing strategy via online channel and to study about the importance of marketing strategy factors. This study also explains the relationship between internal and external factors and the using of marketing strategy. This study collects data from 337 online questionnaires and then analyzed data with ANOVA statistic and Pearson’s Correlation. The findings reveal that factors about characteristic of entrepreneur e.g. time of operating monthly average revenues type of business amount of capital and amount of employees influence to using of marketing strategy. The entrepreneurs consider internal factors e.g. suppliers customers competitors and delivery as an important level which affect to business. The external factors such as economics political and legal system cultures and social and technology are also important. The internal factors are highly correlated to using of marketing strategy. Moreover the external factors are correlated to using of marketing strategy at moderate level. This findings suggest that entrepreneurs pay attention only to deliver products to customer on time to give them with the most satisfactory. In additional entrepreneurs should pay more attention to get on time delivery from suppliers by following supply chain management concept which entrepreneur must keep long term relationship with suppliers in order to get maximize profit.

The Objectives of this research aim to study about demographic factors which influence customers’ behaviors for online products and to study about the importance of marketing mix factors of customers. This research also study about the relationship between marketing mix factors and customers’ buying decision for online products. This research collects data from 384 online questionnaires and then analyzes data with Chi-Square test and Chi-Square Correlation. The research reveals that the difference of demographic factors influence to customers’ buying decision for online products by genders age education occupation average revenues and marital status. The customer recognized marketing mix factors as an important level which consistent to Kotler and Armstrong (2009) model. They indicate that marketing mix factors influence buying behaviors of customer. The most important of marketing mix factor from customers’ perspective is the process factor. The marketing mix factors (Product Price Place Promotion People Process and Physical Evidence) are related to customers’ behaviors in some aspects. The findings suggest that entrepreneur should pay more attention on the marketing mix by presenting unique online products to make differentiate from the other products in common shop. This might motivate customer’s behaviors for buying more online products. Moreover entrepreneurs should precisely focus on quality of products because consumers always complain about quality of products which exaggerated from advertisement. From this reason make consumers gain negative attitudes from buying online products which affect to next buying from customers.

Online learning has been growing rapidly in recent years providing increased opportunities for tertiary institutes to reach out to learners who previously may have had limited access to a traditional university. Although students frequently use information technologies in their daily life online learning requires considerably more competencies than basic computer skills. Many students are unsuccessful in their learning without face-to-face contact and collaboration with lecturers and peers. They can feel isolated and doubt their ability to succeed in the online course. To increase online learner success support is needed especially to improve learner self-efficacy. Very few studies have focused on student self-efficacy in an online learning environment and especially those conducted in an authentic setting. Learner control is thought to facilitate students in online learning but the relationship between learner control and learner self-efficacy is still unclear. Therefore this study intends to examine this relationship using an embedded-correlational mixed method design to answer the research question what is the relationship between learner control and online learning self-efficacy? The quantitative approach was used to find the correlations among learner control online learning self-efficacy and related variables such as age gender prior online experience and computer skills. An online Learning Self-efficacy Scale (OLSES) was constructed and validated with an internal consistency of 0.895. Open-ended questions were added to the questionnaire to gain a greater level of insight of online learning experience in relation to self-efficacy and learner control. Seventy-five students in a four year teaching online programme at a New Zealand tertiary institute participated in the online survey. Data analyses revealed that the relationship between learner control and online learning self-efficacy was confirmed r = .526 p < .01. Age and gender had no effect on the relationship while prior online experience computer skills for social and academic purposes did. The multiple linear regression showed that learner control and computer skills for academic purpose are good predictors of online learning self-efficacy. Analyses of the qualitative data not only confirmed the quantitative findings but also provided insight into the nature of self-efficacy and importance of feedback in the online setting. As a result of this study the embedded framework for successful line learners (SUCCESS) was developed and is recommended as a set of guidelines for online learning developers.