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You searched for +publisher:"NSYSU" +contributor:("C. M. Chiu"). Showing records 1 – 3 of 3 total matches.

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NSYSU

1. Shieh, Feng-Cheng. Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry.

Degree: Master, Information Management, 2014, NSYSU

Due to the advances in information and internet technology, customers nowadays can easily acquire information about prices and specifications of desired products. Thus, how to differentiate from other similar products in the market or even customized products has become a key factor for companies that try to thrive in todayâs competitive market. To do so, companies need to understand their customers, and many of them have employ CRM related systems to collect data about their customers and subsequently perform analysis on the data. The intention is to retain the customers by establishing customer loyalty, which will in turn reduce the cost of maintaining customers and marketing. In this research, we focus on the electric and electronic (EE) industry and analyze the CRM database from the Taiwan branch of an international EE firm To allow for more comprehensive analysis, we further include inquiry and marketing information to predict customerâs loyalty. Our research findings as listed as follows: 1. Customers in machine building etc. industry and service times are positively related to loyalty because more service times allow the company to interact more with the customer and subsequently build trust. 2. The transaction waiting time is reversely related to loyalty. Note that in EE industry, product prices are usually high and their specifications are complicated. Loyal customers rely more on the companyâs professional judgment and thus spend less time on making their own judgment. Advisors/Committee Members: C. M. Chiu (chair), S.Y. Hwang (committee member), Wan-Shiou Yang (chair).

Subjects/Keywords: Customer Relationship Management; Logistic Regression; Brand; Loyalty

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shieh, F. (2014). Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0105114-121324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shieh, Feng-Cheng. “Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry.” 2014. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0105114-121324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shieh, Feng-Cheng. “Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry.” 2014. Web. 21 Mar 2019.

Vancouver:

Shieh F. Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0105114-121324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shieh F. Using CRM Data for Customer Loyalty Prediction â A Case Study in Electrical & Electronic Industry. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0105114-121324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

2. Lin, Pei-An. Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast.

Degree: Master, Information Management, 2014, NSYSU

This research applies the Regression Analysis, which is the commonly used for performing forecast in various areas, to predict the monthly sales of 2Layer FCC. From literature and interviews, we identify the dependent variables for 2Layer FCCL sales forecast. We then apply Regression Analysis to obtain the weight, of each variable and the correlation between variables. The resultant regression model is effective for the product sales forecast of 2Layer-D in our case company T. ã The research data was collected from monthly sales data of 2009/01/01~2013/06/31 of company T, thus comprising 54 records. The dependent variable is the product sales of 2Layer-D. The independent variables include the monthly average price of 2Layer-D, monthly supply of 2Layer-D -L, raw-materials, copper's monthly average purchase price, PI's monthly average purchase price, dependency product CL sales, pivotal/key customers monthly revenue/earnings, Global economic growth rate, IPHONE quarter sales, Tablet PC sales growth rate, and nearly 3 years of GDP for each sales region and seasonal virtual variables etc. Using this information, we establish a preliminary understanding using the Regression model. This research is tested using the Co linearity and Significance tests (F test) available in SPSS software. The Significance of the initial model is not high, and we adjust the Regression model to obtain the final multiple Regression model. Using the real sales of company T, the final multiple Regression model possesses the accuracy of 85%. Thus, the studyâs results show that the related variables affect the market demand of 2Layer-D, and this model can be applied by sales professionals to obtain more accurate sales forecast. It can also be used by counsel managers to make better changes as well as planning for the future to make better decisions. Advisors/Committee Members: C. M. Chiu (chair), S.Y. Hwang (committee member), Wan-Shiou Yang (chair).

Subjects/Keywords: Flexible Copper Clad Laminate; Multiple Regression Analysis; Sales forecasting; Quantitative Research Method

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lin, P. (2014). Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0112114-165944

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lin, Pei-An. “Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast.” 2014. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0112114-165944.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lin, Pei-An. “Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast.” 2014. Web. 21 Mar 2019.

Vancouver:

Lin P. Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast. [Internet] [Thesis]. NSYSU; 2014. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0112114-165944.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lin P. Quantitative Research In The Electronics Industry Sales Forecasts- A Case Study for Flexible Copper Clad Laminate Sales Forecast. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0112114-165944

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

3. Chang, Yu-Hsiu. Discovery of Evolution Patterns from Sequences of Documents.

Degree: Master, Information Management, 2001, NSYSU

Due to the ever-increasing volume of textual documents, text mining is a rapidly growing application of knowledge discovery in databases. Past text mining techniques predominately concentrated on discovering intra-document patterns from textual documents, such as text categorization, document clustering, query expansion, and event tracking. Mining inter-document patterns from textual documents has been largely ignored in the literature. This research focuses on discovering inter-document patterns, called evolution patterns, from document-sequences and proposed the evolution pattern discovery (EPD) technique for mining evolution patterns from a set of ordered sequences of documents. The discovery of evolution patterns can be applied in such domains as environmental scanning and knowledge management, and can be used to facilitate existing document management and retrieval techniques (e.g., event tracking). Advisors/Committee Members: Chih-Ping Wei (committee member), Fu-Ren Lin (chair), C. M. Chiu (chair).

Subjects/Keywords: Feature Extraction; Feature Selection; Document Clustering; Frequent Temporal Patterns; Feature-Based Evolution Patterns; Text Mining

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chang, Y. (2001). Discovery of Evolution Patterns from Sequences of Documents. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chang, Yu-Hsiu. “Discovery of Evolution Patterns from Sequences of Documents.” 2001. Thesis, NSYSU. Accessed March 21, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chang, Yu-Hsiu. “Discovery of Evolution Patterns from Sequences of Documents.” 2001. Web. 21 Mar 2019.

Vancouver:

Chang Y. Discovery of Evolution Patterns from Sequences of Documents. [Internet] [Thesis]. NSYSU; 2001. [cited 2019 Mar 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chang Y. Discovery of Evolution Patterns from Sequences of Documents. [Thesis]. NSYSU; 2001. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0806101-111117

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.