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Item Metadata only Customer relationship management strategies discovered by clustering technique and business intelligence(Mahidol University. Mahidol University Library and Knowledge Center, 2016) Thanakal Yotsomsak; Sotarat Thammaboosadee; Supaporn KiattisinCustomer Relationship Management (CRM) is the key management tools to gain the sustainable competitive advantage and to survive business among the intense competitive environment. Before building up CRM strategies, the organization should prioritize... the customers into segment in order to manage the relationship and to provide the services properly. This research aims to develop CRM strategies in case study Chemical Industries applying the clustering techniques to segment customer, use Business IntelligenceItem Metadata only Study of status and relationships of it curriculums and Programmer jobs competency in Thai university(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Pongamorn Rodsed; Sotarat Thammaboosadee; Taweesak SamanchuenThe Study of Status and Relationships of IT Curriculums and Programmer Jobs Competency in Thai Universities aims to determine the status of information technology curriculum and the relationship between the curriculum and job position by comparingItem Metadata only Sentiment analysis and relationship between social media and stock market : Pantip.Com and Stock Exchange of Thailand (SET)(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Praewmai Padhanarath; Supaporn Kiattisin; Taweesak Samanchuen; Smitti Darakorn Na AyuthayaThis research proposes a process flow of social media sentiment analysis to explain the relationship between comments on social media and stock market data. One of the popular social media for investors in Stock Exchange of Thailand (SET) is Pantip... was shown to be at 74 % accuracy. This model was utilized to classify the comments into sentiments. When all comments were completely classed, the sentiment types were counted by date. Finally, correlation matrices were constructed to find the relationshipItem Metadata only Applying Scrum Agile concept for family relationships support by designig a social network application extension framework(Mahidol University. Mahidol University Library and Knowledge Center, 2016) Pachanad Ak-Sornchoo; Sotarat Thammaboosadee; Adisorn Leelasantitham; Smitti Darakorn Na Ayuthayarelationships. Therefore, the objective of this research was to design a social network application framework to support family relationship problems based on Agile project management because Agile project management concept is a successful software developmentItem Metadata only Function-oriented business process improvement framework for customer relationship management section in large scale organization(Mahidol University. Mahidol University Library and Knowledge Center, 2015) Suprangtip Poonun; Sotarat Thammaboosadee; Supaporn Kiattisin; Taweesak SamanchuenThis research is to improve the performance of the business process in customer relationship management systems (CRM) by the function-oriented model for large-scale organization. The selected case study is a large-scale company with the missionItem Metadata only Discovering association between metabolic syndrome and its related chronic diseases represented by ICD-10 code(Mahidol University. Mahidol University Library and Knowledge Center, 2015) Supak Iamongkot; Sotarat Thammaboosadee; Supaporn Kiattisin; Adisorn LeelasantithamThis paper applies the association rules method to discover the relationship between metabolic syndrome and its chronic diseases. The sample data used in this research is the medical records specifying the metabolic syndrome patients in a large... government hospital. The Apriori and FP-Growth algorithms are chosen to be compared in the performance and applicable results of extracting the relationship of the metabolic syndrome patient records represented by ICD-10 code. The results showItem Open Access A relationship discovery in legal basis processing and fines : a case study in EU data protection law violations(Mahidol University, 2023) Lertchon Tanasugarn; Sotarat Thammaboosadee; Rojjalak ChuckpaiwongSince PDPA had just been enforced in Thailand, the implementation guideline regarding fine estimates has yet to be issued with a clear rationale for applying for fee enforcement in different conditions. The General Data Protection Regulation (GDPR) in the EU has been set up and enforced with many reported cases, which can be the foundation for this research. In addition, machine learning technology for legal work is fast growing and getting more attention in this era. Therefore, this research proposes to create a machine learning model suitable for predicting the fine based on publicly available GDPR reported cases since Thailand has not yet had any cases. After reviewing GDPR cases publicly available, this research was set up to include only cases with a basis and no reduced fine condition. The research protocol consists of two phases: the first phase is to identify the most appropriate AutoML model, and the second phase is to test the model using a simulation application. The result of the first phase reveals that the best model is the deep learning model since it creates the least root mean square error (RMSE). Moreover, the deep learning model selected six attributes as a basis to generate fines. After putting in ten cases using the simulation in the second phase, the result reveals that six out of ten cases align with the occurring cases. Therefore, this research confirms the possibility of the deep learning model with sixty percent accuracy. Implication of the thematic paper: This research proves the possibility and accuracy that the automated deep learning model is effective in generating the fee not only for the amount but also suggests the implication of this model to reduce human error and human bias as a personal opinion. Suppose the model is tested in a larger sample size or a large number of cases to validate its accuracy and scale it up nationwide.Item Metadata only B2B E&M commerce company grading using K-MEAN(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Araya Jirarattanaphan; Supaporn Kiattisin; Sotarat Thammaboosadee; Smitti Darakorn Na Ayuthayathe activity of business or customer relationship management (CRM) to increase income of enterprise in each group. The design of CRM was evaluated by the professors of business and the entrepreneurs in each group. The evaluation is in good level and agreed...การวิจัยครั้งนี้ ไปใช้ประโยชน์ ในการจัดทำ Customer Relationship Management (CRM) กับผู้ประกอบการแต่ละกลุ่ม ต่อไปโดยใช้หลักการ KMean มีผลดังนี้ จำนวนผู้ประกอบการกลุ่มที่ 1= 681 จำนวนผู้ประกอบการกลุ่มที่ 2 = 9 จำนวน ผู้ประกอบการกลุ่มที่ 3 = 78 และมีการItem Open Access Designing graphic user interface using customer data platform structure for SMEs : a case study of a little wood brand(Mahidol University, 2022) Sakulrat Sae-Lee; Rojjalak Chuckpaiwong; Sotarat Thammaboosadee, Precision Marketing, Customer Data Platforms, Customer Relationship Marketing, Data Management Platform, and Digital Platform. Data collection for this study was done using usability testing from samples from a specific population group of Thai SMEs, a... Platforms ทฤษฎีกรอบแนวความคิดเรื่องการตลาดเพื่อสร้างความสัมพันธ์อันดีกับลูกค้า หรือ Customer Relationship Marketing ทฤษฎีกรอบแนวความคิดเรื่องแพลตฟอร์มการจัดการข้อมูล หรือ Data Management Platform ทฤษฎีกรอบแนวความคิดเรื่องดิจิทัลแพลตฟอร์ม หรือ DigitalItem Metadata only A design of data architecture towards transsexual citizenship : medical and social aspects(Mahidol University. Mahidol University Library and Knowledge Center, 2018) Patthra Pattamavipak; Sotarat Thammaboosadee; Somkiat Wattanasirichaigoon; Supaporn Kiattisinperson and relationship among stakeholder, a data matrix to explain the relationship between the application and the data entity and the type of data category, a data dictionary which described each type of data in reference to search for information