Paper Title (Use Style: Paper Title)

2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST 2017) A Survey of the Distribution of Tea in Taiwan by the Well-Known Social Network

Chi-Yueh Hsu1, Jong-Shin Chen2*, Kuan-Chuan Tao3 ,Bo-Jun He4, Han Guo Ciang5 Department of Leisure Services Management, Chaoyang University of Technology1,3,4 Wufeng, Taichung 41349, Taiwan, R. O. C. Department of Information and Communication Engineering, Chaoyang University of Technology, Wufeng, Taichung 41349, Taiwan, R.O.C.2, 5 E-mail:[email protected]*

Abstract—Taiwan's most exotic and traditional drink, tea, not to tutoring tea farmers and enterprises, and encouraging special only is popular with Taiwanese people, but also foreign markets applications for tea products. “Taiwan Tea Origin Certificate ’’ are crazy about. Varieties and different species of tea gives birth (Table I), protects the uniqueness of Taiwan's tea products and to different flavor, and it develops different business model in rights, and makes it more competitive internationally Taiwan - teahouse, tea restaurant, bubble tea and other (Executive Yuan Committee on Agriculture, 2012; Liu Jiusung, handmade drink shop. The distribution of tea in Taiwan 2013). Following the change of industrial environment and concentrated more in Taipei, Taichung, Kaohsiung, and Tainan. consumption structure, Taiwan has increased the international Surprisingly, distribution in Nantou is ranked fourth, but the popularity of Taiwan tea in the past 20 years to meet the density is less than four cities. Through the big data analysis of diversified needs, in order to promote the sustainable well-known Facebook community network, different view is development of tea industry. provided and results enable to explore the different direction, and guide us to find the key factors. TABLE I. THE ORIGIN OF THE STANDARD CHAPTER DRAWINGS, NAMES Keywords—Tea;Big Data;Social Network;Distribution Status

I. INTRODUCTION According to the big data analysis of well-known Facebook community network, Taiwan's traditional drinks-tea check-in Mizuho Tianhe Tea location has 18,793, and the exotic drinks caused by a series of Chiayi Alishan mountain tea drinks brand hot-coffee has 14,149, which could be learned that Taiwan's two major drinks - tea has more checked-in than coffee. Therefore, this study will take tea as the main core of this study. Through the analysis of large-name social network data, we discuss the distribution of tea in Taiwan, facilitate subsequent related research, and at length provide Shanlinsi Tea Sun Moon Lake Black Tea recommendations and the future development of market goals. Tea is one of most traditional Taiwan drink and has the most original flavor. Tea is one of common drink whether in a leisurely time or chatting with friends or family. It is one kind of soup brewed with tea leaves by 3 times, more than just beverages. Wen Mountain Pouchong Tea Beipu Blowing Tea Tea production in Taiwan history has been more than hundred years and it is always one of important economic resources [1]. The current goal is to make Taiwan become famous tea production area in the world. Taiwan has a lot of tea distribution in different counties and cities (Fig.1), including different species like black tea, green tea, tea bags, Ponkan Feng Cha (Oriental Beauty tea), etc., and the most famous Deer Valley Oolong Tea Hehuan Mountain High cold tea Oolong. Traditionally, the tea brand is an intangible asset which extends the concept of brand and applies to the tea products, representing the reputation of the tea products, quality, commitment to the consumer signs (Li Min, 2010). In order to promote the quality of tea products, the overall tea industry is going forward branding. Take the agricultural commission of the Executive Yuan as an example, in addition

The other is the exploration of a small sample based on ethnography, which uses field investigation to provide a descriptive study of human society. Different from the past, with the science and technology brought about by space-time distance reduction, interviews can be extended to many countries around the world. While the visit is difficult to implement, the researchers have a large number of Skype, e- mail, Facebook and other computer intermediary forms of the potential (Evan, 2014; Humphreys, 2010). According to the above, the following research purposes are proposed: (a) To explore the distribution of tea in Taiwan with large numbers of well-known Facebook community networks. (b) To explore the distribution and intensity of the location of tea as the key words. (c) To explore the use of tea as the key words of praise strength preferences and industrial management direction. (d) Provide future research direction and recommendations through the results of big data studies on the well-known Facebook community network. Fig. 1. Distribution map of tea in Taiwan III. RESEARCH DESIGN II. RESEARCH PURPOSES Big data research and application has become a trend, This study thought that check-in is just a commonly seen and the relevant research and application of big data in human habit, when a member is used to checking in to mark information are also gradually popular and so are innovative the presently location or feel-sharing, which initiates a process survey and analysis tools. Through the Intelligent tool model to communicate and share with strangers – often overlooked by in big data environment, the effective reference data of the other research. How members choose landmark check-in, rational judgment and marketing management of the operator maintain basic contact with friends, and perform their unique or the policy-makers are provided, and the application of big styles during sharing, and so on, are the extension of this study data can be better. The following is a brief description of the to explore the issue and discussion. Therefore, the purpose of development trends in the application of big data in decision- this study is to probe into the distribution and current situation making (Watson, 2015): of the user's check-in and to examine the data presented by the big data, and to provide the future development direction. (a) Rapid action and decision-making: such as Starbucks, rapid response to various social media to adjust their new The current punch-up research is divided into two kinds, push.Out of coffee prices, target retailers change their the first is the Geographic Information Science (GIScience), information about the pregnancy according to their shopping which is based on big data, and through the Open API habits.(Hill, 2012) (application programming interfaces) or other data acquisition, data mining technology, the public social platform data capture, (b) Key conditions Focus: Survey understanding of analysis, (such as Bawa-Cavia, 2010, September; Cheng, Representative industry environment organization decision Caverlee, Lee & Sui, 2011, July; Crandall et al., 2010, October; makers for big data technology transport. With the current Cranshaw, Schwartz, Hong & Sadeh, 2012, May; Noulas, situation, how to build up its unique intelligent cognitive Scellato, Mascolo & Pontil, 2011, July; Roick & Heuser, 2013; mechanism by using big data technology (mechanism of Scellato, Noulas & Mascolo, 2011, August炸. The study of big sense making, CF Weick, 1995) data size-taking takes Foursquare as the research field, yet the According to the results of the study, big data analysis world's most popular check-in platform Facebook is rarely has the following characteristics of 4 V: (a) Data volume documented. This is because Facebook allows only limited (volume) (b) Input and processing speed (velocity) (c) data data to be made and constantly changes programs which make diversity (variety) and (d) authenticity (veracity) these 4 it difficult to study. On the other hand, Foursquare checking-in characteristics. information can be synchronized on Twitter, and Twitter messages are open to access, which makes Twitter as In other words, big data is a collection of data consisting springboard for Foursquare studies. By contrast, Facebook is of large numbers, complex structures, and diverse types of not in sync with Twitter's services, and without alternatives, data. At present, the information processing capability is big data research is far less than Foursquare. While this is a greatly improved, so it can be effectively analyzed and forced choice, ignoring Facebook, the world's biggest social processed for the complex information of time, cost and platform, deviates from the real use of the situation. manpower in the past.

IV. OBJECT OF STUDY Example:https://graph.facebook.com/search?type=place¢er=24.069093, The study will take each of the members of a well- 120.7127943&distance=150&access_token=1368411763*****|k95dZzlRoY known Facebook community network, and discuss their Vqg9I9NF_QxU*****&limit=50 number of tea punch points with the amount of praise, and Fig. 2. A https format of requesting identifications from Facebook server the Facebook founder Mark Zuckerberg, in an article published in his face book on August 28, 2015, mentioned { "we have just passed an important milestone." For the first "data": [ {data of the first place}, { data of the second place }, ..., { data of the nth place } ], time, 1 billion people use Facebook's one-day ". At present, "paging": { Taiwan's monthly active number of Facebook up to 16 "cursors": {...}, million people, has become the world's largest social media "next": "the next url" } use, but also an indispensable tool for people's lives. } Smartphones are becoming more popular, mobile phones Fig. 3. An overview of the responded JSON formatted data from Facebook are becoming more and more numerous, whether it is the server internet, online shopping, listening to music, watching movies, playing games, or community sites, can be used B. Content Maintenance through mobile phones, so the mobile phone gradually The detailed data of a place can be acquired by sending a replaced the computer. In Mobile community software, request with its place id, according to the format as shown in "Community is the most commonly used feature on mobile Fig. 4. After Facebook server received the request, it will return phones and one of the most common software used by the the data of this place back. The data includes the name, Bow clan" (TMTJ, 2012). location (latitude and longitude), category, description, about, checkins, ..., and so on, where ‘checkins’ is the number of V. RESEARCH TOOL check-in behaviors at this place. Our research tool is divided into 3 steps, place collection, content maintenance, and place positioning (Chen, 2017). Format: https://graph.facebook.com/id/?access_token=ak Example: https://graph.facebook.com/1789770481248040 A. Place Collection /?access_token=1368411763*****|k95dZzlRoYVqg9I9NF_QxU***** The data of Facebook places is open data. According to an Fig. 4. A request of maintaining data of a place access token as a developer can acquire the data from Facebook servers. The task of a developer can be requested C. Place Positioning from the web page with URL The bounder B of a geographical area A is defined as in (1), "https://developers.facebook.com". Each Facebook place has a where (xi, yi) is a latitude and longitude coordinate for i=0, unique identification, termed as id. A developer can acquire 1, ..., n. The bounder is formed from (x0, y0) to (x1, y1), (x1, several identifications according to Hypertext Transfer y1) to (x2, y2), ..., (xn-1, yn-1) to (xn, yn) and (xn, yn) to (x0, Protocol Secure (https) protocol by sending a request to y0). A node (xt, yt) is extended to a line L(xt, yt) as in (2). If Facebook server. The format of this request is shown in Fig. 2, the extended line L(xt, yt) meets the bounder B odd times, (xt, where c is a latitude and longitude coordinate, r is a distance, yt) is in A. Otherwise, (xt, yt) is not in A and n is a limit number. B={(x , y ), (x , y ), ..., (x , y )} (1) When a Facebook server acquired this request, it returns at 0 0 1 1 n n most n identifications at a geographical circle-area A with L(xt, yt)={(xk, yt)| xk ≥ xt} (2) center c and radius r. If the number of places at A is larger According to above method, the geographical area of than n, the responded data will contain the next url. Taiwan is separated into more than 960 thousand subareas with According to this url, Facebook server will again provide radius 150 meter and we got more than 1.1 million places. other identifications at A. Similar process will be performed Then, we positioned these places to 1st, 2nd, and 3rd type again and again until no next url is returned from Facebook divisions of administrative regions. server. An example is shown in Fig. 2, where c is 24.069093 (latitude) and 120.7127943 (longitude), r is 150 meters, as is VI. RESULT 1368411763..., n is 50. Notably, for secure, several characters The result includes the data: of a are marked as *. The responded data came from Facebook (a) Place distribution: Totally, there are 18793 places with server is formed as JSON format (RFC 4627) and encoded by 11370063 check-in counts. The geographical locations are utf-8 format (RFC 3629). Figure 3 presents an overview of the described as Fig. 5. JSON formatted data in which there are data and paging fields. (b) Statistical data of 1st and 2nd type division is described in The data field contains the data of n places. Each data of a Table II. place includes the identification, name, location, category of (c) Tea in Taiwan: the top 50 check-in places that are described this place. The next file contains the next url if there are other in Table III. places in this area. (d) Tea in Taiwan: the top 50 like-places that is described in Table IV. Format: https://graph.facebook.com/search?type=place¢er=c& distance=r&access_token=ak&limit=n

Star on the Star Hong Kong- Taoyüan 42,909 471511952894152 style tea Lattea Green cover tea Xinbei 42,386 267427086690234 Xinzhuang shop Cantonese Restaurant Taipei 42,347 194296757262167 LATTE Green cover tea Taoyüan 41,784 194296757262167 Revival shop bigteapot Hsinchu 39,647 146106345538259 Chun Shui Tang Taichung 39,075 152609168131300 Zhongke Yongfu shop wretch Taichung 38,568 176497489059370 ChenGenZhaoCha Taipei 37,307 254791281201063 Lattea Green cover tea Taichung 37,019 328073510585819 Hiking shop Pinglin Tea Museum of New Pinlin 36,325 146106345538259 Taipei City Fig. 5. Place distribution: 18793 places with 11370063 check-in counts Zhuju Tea House Chiayi 36,310 103730233038585 Taiwan agriculture and Xinbei 35,865 156287724412270 forestry bear empty tea garden TABLE II. STATISTICAL DATA OF 1ST AND 2ND TYPE DIVISION citystar Taipei 34,652 159454114103625 Administrative Area Places Checkins Average Area Place Density Check-in Density Product tea house Taichung 34,650 159359354115862 Chun Shui Tang Taichung 34,114 172569989454146 Kaohsiung 2995 1 1160170 4 387.37 13 2951.85 4 1.015 5 393.031 8 greenlake Chiayi 33,910 137029889697113 Taichung 2685 2 1672930 2 623.06 9 2214.9 6 1.212 4 755.306 4 Tea from the restaurant Kaohsiung 33,633 139382009419071 Tainan 1327 3 1507990 3 1136.39 3 2191.65 7 0.605 6 688.06 5 Nangzi shop 2 Nantou 1204 4 695599 7 577.74 10 4106.44 2 0.293 12 169.392 9 Jinbao Café Taichung 33,601 381733811846633 Taipei 1052 5 2418240 1 2298.7 1 271.8 16 3.87 2 8897.12 1 smith&hsu Taipei 33,195 449611381796866 brotherhotel Taipei 33,099 189159004455185 Xinbei 1005 6 1087510 5 1082.1 4 2052.57 9 0.49 9 529.828 7 tea_serving Tainan 32,482 101911589845831 Changhua 619 7 178705 11 288.7 17 1074.4 15 0.576 7 166.33 10 Green tea house Tainan Tainan 31,827 245564218794743 Taoyuan 601 8 750684 6 1249.06 2 1220.95 14 0.492 8 614.836 6 Chinese shop Chiayi 576 9 144994 14 251.73 18 1903.64 10 0.303 10 76.167 15 Tea.Food Lotung 31,442 210989162305160 Bira milk tea Kaohsiung 31,094 241490152530446 Pingtung 568 10 167272 12 294.49 16 2775.6 5 0.205 13 60.265 16 Yancheng Xinle Street Main Yunlin 384 11 113218 16 294.84 15 1290.83 13 0.297 11 87.71 14 Store Chiayi 291 12 143981 15 494.78 11 60.0256 19 4.848 1 2398.66 2 Focus Tainan 30,632 195852717092285 Miaoli 258 13 197021 9 763.65 8 1820.31 11 0.142 15 108.235 13 Lattea Green cover tea Taichung 29,983 133179926811722 Donghai shop Ilan 249 14 269062 8 1080.57 5 2143.62 8 0.116 16 125.518 12 LATTEA Green tea house Taipei 29,798 201530409886720 Hsinchu 244 15 189357 10 776.05 7 1427.54 12 0.171 14 132.646 11 Zhongxiao 216 shop Taitung 179 16 56024 17 312.98 14 3515.25 3 0.051 18 15.937 17 Lattea Green tea house Hsinchu 29,797 195395373935433 Hsinchu 165 17 163367 13 990.1 6 104.153 18 1.584 3 1568.53 3 Zhubei shop Okayama Green Tea House Kaohsiung 29,488 168620343185267 Hualien 54 18 24228 18 448.67 12 4628.57 1 0.012 19 5.234 18 Keelung 7 19 310 19 44.29 19 132.759 17 0.053 17 2.335 19 TABLE IV. TEA IN TAIWAN, THE TOP 50 LIKE PLACES Average 761.21 575824.3 705.014 1888.78 0.860 883.95 Standard Division 829.27 686728.99 523.58 1316.31 1.31 2034.46 Name Region Likes ID fingertea Kaohsiung 48,630 184639925034192 Tea watermark Kaohsiung 45,081 697011540410604 TABLE III. TEA IN TAIWAN, THE TOP 50 CHECK-IN PLACES human tea Name Region Checkins ID Zenique Taipei 42,335 204987412871030 Jingxing Hon Kong-style tea Taipei 140,486 124410327665410 TDH Taipei 36,116 205448306133362 Zhongxiao shop leqingtea Taoyüan 30,659 372501809599537 Jixing Hong Kong Taipei 135,016 191801867507475 Wolf Tea Taipei 29,490 381582808642260 type of tea Small musle milk tea Tainan 27,217 264875983647266 LATTEA Green tea house Taipei 132,101 147678325294152 Heiankyo.fans Taipei 27,036 754082537937463 Shilin shop Tea from the Kaohsiung 26,525 139382009419071 fingertea Puchung 127,645 184639925034192 restaurant Nangzi shop Cheung Fat Hong Kong Café Taipei 87,455 199625043381068 bobatea Tainan 25,556 1596442283908371 A Q tea house big pier shop Taichung 73,624 170493513054433 Kadoya Tainan 24,954 439972049401961/ justtea Taoyüan 63,245 194657640544951 temperaturatea Tainan 23,915 343223219140699 pizza.tea.house Tainan 60,870 159068274143625 orangelady.flagship Kaohsiung 23,714 421511584721165 LaoChiang Kaohsiung 56,039 195975787085908 Who's TEA Taichung 22,315 421511584721165 shopcool Changhua 54,385 158702420849367 Love tea stack Xinbei 21,973 296312640562025 KiLiBay Suao 51,530 401027323425504 Mr.Wish Taichung 20,706 125362630812528 Yi Xinyuan scholar Panchiao 49,052 196981500316008 justteashop Taichung 19,552 117789401627674 tea house tea.leqing Ren'aiTownship 19,057 1530124223944495 assamfarm Nantouchieh 48,206 118623794881042 twtmtea4cake Tainan 17,193 349074214453 cheerykid Tainan 47,093 184448644925666 Yonshin Tea & Cake Kaohsiung 17,117 1435382196781849 Yī děng shǎng Taoyüan 47,056 131676440236231 Selection Bar guān jǐng cháyuán foncha.tea Kaohsiung 16,729 654302264586886 Chun Shui Tang Taichung 46,141 194180237289279 HELLO KITTY Tainan 16,235 707049019428734 New Times store Chat Day yangshin Taipei 46,030 569041796480471 thai like tea Taipei 15,955 235951986601651 Ancient Tea House Taichung 45,846 187871867898701 LATTEA Green tea Taipei 15,556 147678325294152 lattea Taichung 45,586 115383538537860 house Shilin shop AmeiTeahouse Xinbei 44,593 545944548829689 chunhsientea Yuanlin 14,311 686537028085515 Hong Kong Jinbao Café Taichung 43,398 124634537606739 zentea Taichung 14,201 1456592614623247

ChenGenZhaoCha Taipei 14,157 254791281201063 preference for drinking tea, is indeed higher than the rest of Teramar handmade Tainan 14,070 254791281201063 drinks Taiwan's cities, of course, in these four counties and cities, the LaoChiang Kaohsiung 13,721 195975787085908 reason for the dense distribution of tea-punch landmarks may smith&hsu Taipei 13,558 449611381796866 be that there are areas where tea is grown in the county, and the Beveled Lane Chungli 12,907 361758430602864 people who supply local tea are either marketed or distributed A cup of tea Taipei to find tea - in the entire Taiwan market or even abroad. South Korea tea Taipei 12,147 512400762183046 manufacturing Taiwan's coverage of tea is likely to be due to a shortage of demonstration field tea production, with many mission plants being planted on the Tea&Cafe Taipei 11,783 1387719521478463 mainland to supply Taiwanese people with the demand for tea Happy to eat light Taichung 11,762 837445029642570 Japanese food and to meet foreign export markets.Taiwan has a lot of tea- teahouse hand shops to open branches abroad, widely praised, and will Hong Kong Cape Café Tainan 11,721 576689745717400 also be tea marketing out, however, foreign famous stars to Necalyi Kaohsiung 10,911 812253065452397 haydntea Chiayi 10,348 515130038566677 Taiwan sightseeing, and like the taste of Taiwan tea and other konlatree Taichung 10,095 153003948228035 related reports, whether it is pure tea or tea into the hands of stsrtonstart Taoyüan 9,917 471511952894152 each individual cup of unique drinks, tea development space 30almonds Taichung 9,727 193088000702690 and different presentation way, Tea in Taiwan is also widely TeaMeters Kaohsiung 9,231 1693443424209652 Tea.Tradition Taipei 8,992 969845213052879 used in different space and environment, and this study through the analysis of large data to prove that tea in Taiwan and coffee MR.TEA Taichung 8,985 187931828030717 in Taiwan's advantages, but also found that the original tea is Who'sTea Tainan 8,771 541638975984185 7teahouse Taipei 8,630 182762178162 still popular with the people of Taiwan. Again to see the large Pinglin Tea Museum Pinlin 8,095 146106345538259 data integration, whether it is the number of punch times and of New Taipei City the number of times, you can learn that tea is the key word SHAN SHAN CHA Taipei 8,026 254708727891021 theme-style teahouse, can attract a lot of popular, and space is Chau mei Kaohsiung 7,994 872665446134870 show You Tea convenient and provide open space for the public to chat and Awastea Kaohsiung 7,944 123288741015057 play the best place, and then combine the combination of tea Cansbookshop Taichung 7,574 153024644804217 restaurant, these two industries are in the direction of the major data analysis of the degree of public preference. VII. DISCUSSION The first and second administrative division’s place number is Through the big data analysis of the Facebook Community between 2995 and 7. The average is 761.21 and the standard network, it is not only understood that the tea's Place location is more than the coffee Place, it can be found that the distribution value is 829.27. The top three of places is Kaohsiung City of tea in the counties and cities of Taiwan and the popular 2995 places, Taichung City 2685 places, and Tainan City 1427 Places like the intensity of the industry's business direction, but place. The statistics of the check-in counts (checkins) in also through the social network of large data statistical analysis, administrative division is between 2418240 and 310. The to provide follow-up research direction and provide average value is 575824.32 and the standard value is recommendations to facilitate the left. 686728.99. The top three of check-in city is Taipei City 2418240, second is Taichung City 1672930 and the third one IX. SUGGESTION is Tainan City 1507990. The results of this study, based on the large data analysis The density range of place is between 4.848 and 0.012. The of the well-known Facebook community network, show that average value is 0.86 and the standard value is 1.31. The top all the members of the Community network are currently in three of place density is Chiayi City 4.848, Taipei City is 3.87, love with the distribution of the Place of the tea key words, Hsinchu City is 1.584. The density of check-in number range through the above-mentioned dense graph, also provides the is between 8897.12 and 2.335. The average value is 883.95 industry with the choice to open up the market in a direction, and the standard value is 2034.36. The top three of density and the management of the industry content, but also by check-in is Taipei City 8897.12, Chiayi City is 2398.66, reference to the top 50, or even the top 10 of the hobby store Hsinchu City is 1568.53. to do a survey and learning, whether it is to explore the business model, environment, services, tea extension VIII.CONCLUSION products, or to explore the high Places of the county and city According to the results of the data analysis, the potential factors can be considered, because in Taipei, distribution of tea in Taiwan and the concentration of the Taichung, Kaohsiung, Tainan the climate is different, so the location, and from the analysis of large data show that the tea production of tea varieties are more diverse, so people in the in Taiwan's County and city distribution status and ranking, not choice, may also be because of their preferences and choice; only to the whole county and city to explore the big (a) Therefore, follow-up studies can explore the degree of environment, more can use the small social network large data, preference for tea and tea for people, and through the to explore the different stores and different industries operating research process, Discussion on the main factors affecting direction of the number of punch times and the number of people's choice of tea drinks times, also can be learned that Taipei, Taichung, Tainan, Kaohsiung, tea is a very dense punch point of the county and (b) Future research directions to explore the reasons for city, And the four counties and cities of the degree of choosing tea drinks

(c) To investigate local residents in Taipei, Taichung, [11] One reading, "Taiwan Tea industry Overview and development trend," Tainan, and Kaohsiung, and to understand the impact of the Retrieved on June 25, 2017, from https://READ01.com/le8k0g. html. tea stronghold Main factors affecting the degree of the set [12] H. San, J. Renxin, L. Juanjuan, "Research on the use of social networking sites-take Facebook as an example," Department of (d) The tea punch point is more than the coffee punch point, Information Management, Soochow University 2014. then through the big data analysis, follow-up research can [13] Star Island Daily, "Facebook users break 1 billion of their daily usage," What kind of development, and can provide industry Retrieved on June 25, 2017, taken from http://is. gd/nau4cx. reference [14] Apple Daily, "Active users up to 16 million not on the sad," Retrieved on June 2017 25, Take http://www.appledaily. ACKNOWLEDGMENT com.tw/appledaily/article/headline/20150706/36649323/. [15] TMTJ.16 Mobile phone Community app Introduction, new friends, old This research was partially supported by the Ministry Of friends, with photos to make friends are OK. Taken from https://www. Science and Technology, Taiwan (ROC), under contract no.: Facebook.com/pages/%e9%9b%b6%e6%99%82%e5%b7%ae%e6%99 MOST 103-2632-E-324-001-MY3. %82%e5%b0%9a%e8%8c%b6%e6%88%bf/158741524183568. [16] H.-M. Wu, "Traversing the Web: check-in tactics and place practice of Facebook user," journalism research, vol. 126, pp. 93-131, 2016. REFERENCES [17] G. Jialan, "Introduction of big data analysis and application in enterprises," Journal of Accounting Studies, vol. 355, pp. 54-58, 2015. [1] M.-C. Chou and C.-Y. Huang, "A Study on the Design for Consumer [18] S.-S. Lee, H.-F. Chang, "The study of consumers shopping orientations Symbols of Tea Brands Creating a Favorable Impression," 2015. in organic agricultural, vol. 2, no. 3, pp. 1-15, 2009. [2] C.-Y. Lin and H.-Y. Tseng, "Research on Local Food Globalization in [19] S.-S. Lee, C.-I Ho, G.-W Lee, "Explaining Wii Fit continuance usage: Taiwan: The Meaning of Pearl Milk Tea among College Students," An expectation confirmation model," the University of Truth, the Cross-cultural Studies, vol. 1, no 4, pp. 37-61, 2010. Journal of Sports Knowledge, issue 9, pp. 46-63, 2011. [3] J. Y.-S. Liu, "Intelligent Decision-Making and Big Data Methodology: [20] Z. M. Huangjing, "The analysis of Taiwanese tea brand symbol and A Proposal for Integrated Framework and Research Agenda," EAST- association in the youth market," Taiwan Agricultural Society ASIA REVIEW, vol. 494, pp. 55-68, 2016. Newspaper, vol. 17, no. 2, pp. 124-144, 2016. [4] H. J. Watson, "Big Data:Concepts,Technologies,and Application, [21] C.-T. Huang, C.-F. Chen, and T.-H. Tsai, "Determination of caffeine www.mercerindustries.com, 2015. content in the tea and coffee," vol. 10, no. 2, pp. 135-141, 1999. [5] Lin Yu, Peng Yuanxing, Li Shenchong, leaves for the valley. The [22] C.-P. Chung, C.-F Lee, T.-L Tung, J.-L. Lin, "The current status and feasibility evaluation of developing "tea sightseeing tourism" in Taiwan future prospects for production and distribution model of industry," [6] Agricultural Committee of the Executive Yuan, Taiwan Food Mingdao Journal, vol. 8, no. 3, pp. 57-70, 2013. Consumption Survey Statistics Yearbook, Taipei: Council of Agriculture, [23] T.-H Chang and F.-Y. Lin, "The study of the relationship between brand Executive Yuan, 2010. cognition, preference and product extension perceived fit and [7] Agricultural Committee of the Executive Yuan.Tea also has mit-to consumers' purchase intensions: Taking Starbucks as example," Journal promote Taiwan's Tea Origin certificate, Retrieved on June 25, 2017, of Hospitality and Home Economics, vol. 7, no. 4, pp. 349-371, 2010. from http://teais. CoA. Gov. Tw/view. php? catid=1194. [24] M.-H. Cheng, Y.-C. Wu, and M.-C. Chen, "A Study of Correlation [8] Executive Yuan Agriculture Committee Tea Industry Improvement, Tea between TV Ratings and Social Media," American Journal of Industrial in Taiwan, Retrieved on June 25, 2017, http://www Tres. gov. Tw/view. and Business Management, vol. 6, no. 3, pp. 282-290, 2015. php catid=2702. [25] RFC 4627, https://www.ietf.org/rfc/rfc4627.txt [9] Agricultural Committee of the Executive Yuan.99 tea industry Structural [26] RFC 3629, https://tools.ietf.org/html/rfc3629 adjustment plan. Retrieved on June 25, 2017, http://www. AfA. Gov. Tw/peasant_index. asp? catid=398. [27] J. S. Chen et al. , Public Option Analysis for Hot check-in places at Taiwan, International Conference on Advanced Information [10] Agricultural Committee of the Executive Yuan.Agricultural production Technologies/Forum on Taiwan Association for Web Intelligence quantity value of agriculture and food department Taiwan and Fujian Consortium, 2017, pp. 745-755. area. Retrieved on June 25, 2017, http://www AfA. Gov. tw/public/grainstatistics/201452116855334. pdf.