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姓名 謝宜庭(Yi-Ting Hsieh)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 社群媒體文字採礦之研究:以第三方物流公司為例
(Social Media Mining on Third Party Logistics Companies: Case Studies on UPS, DHL, and FedEx)
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摘要(中) 社群媒體蓬勃發展,成為當前熱門的溝通與資訊分享平台,而它的普及引起了物流公司的重視,逐漸成為公司行銷自己與顧客互動的重要管道之一。過去研究探討社群媒體在物流業中的應用較少,也未有研究運用文字採礦來了解物流業社群媒體的發展現況。透過分析社群媒體,廠商能夠掌握最即時的顧客回應資訊。因此,本研究透過文字採礦技術與網路爬蟲程式,分析從2015至2016年物流業運用社群媒體的最新情況。首先,研究廠商如何使用Twittter官方紛絲頁面推廣各項活動。第二,透過Twitter客服官方帳號了解顧客對於客服中心的評價與建議。最後,進行三家物流公司Twitter專頁的整體比較。結果顯示,各物流公司舉辦的活動包括:體育贊助、科技創新比賽、環境保護、節慶慈善活動。而歷年來顧客對於廠商的抱怨則大同小異。其中,沙烏地阿拉伯服務中心,是顧客最常抱怨的地區。再進行三家公司的比較之後,進而了解各公司在顧客心中的企業形象,以及如何管理社群媒體與顧客互動,並提出針對各公司的建議。此研究期望讓社會了解社群媒體文字採礦的價值,幫助廠商透過近年的歷史資料分析,來制定更有效的行銷策略與管理顧客關係。
摘要(英) With the increasing usage of social media platforms, customers’ communication channels are increasing into various fields. Thus, logistics industries have a revolutionarily ways to interact with customers. Social media implementation is not only for B2C context, but it is also important in the B2B context. However, the research which has reported the logistics companies’ social media execution is scant. Hence, the aim of this article attempts to explore how third party logistics companies in the U.S. promoted their services and managed their official Twitter fan pages and help pages, what are the clients’ feedback entails, comments, and complaints about the customer service, and what are the similar and different keywords between the third party logistics are. This research collected the tweets by using the technique called Web Crawler, and analyzed the data through, data collection, text parsing, text filtering, and text mining. Results of this study indicate that companies promoted their service by several approach. For example, sport and competition sponsorships, ecological protection, and charity and holiday events. Furthermore, from the clients’ feedback, comments, and complaints, we see that clients were disappointed in the service in Saudi Arabia. Finally, from the comparison of three companies, we find out about the different corporate images and reputations. Overall, the results can help the logistics industries to develop strategies of customer engagement and brand management.
關鍵字(中) ★ 概念連結
★ 物流
★ 社群媒體
★ 文字採礦
關鍵字(英) ★ Social Media
★ Logistics
★ Text Mining
★ Concept Links
論文目次 中文摘要............................................................................................... i
ABSTRACT ........................................................................................ ii
誌謝..................................................................................................... iii
ACKNOWLEDGEMENT ................................................................ iii
List of Tables ..................................................................................... vi
List of Figures .................................................................................... ix
Chapter 1 Introduction...................................................................... 1
1.1Research Background and Motivation ...................................................................... 1
1.2 Research Objective ................................................................................................... 2
Chapter 2 Literature Review ............................................................ 4
Chapter 3 Methodology ................................................................... 13
3.1 Data Collection ....................................................................................................... 13
3.2 Data Analysis ......................................................................................................... 14
Chapter 4 Results ............................................................................. 21
4.1 Third Party Logistics Twitter Fan Page ................................................................. 21
4.1.1 UPS Fan Page of 2015 ............................................................................ 21
4.1.2 UPS Fan Page of 2016 ............................................................................ 31
4.1.3 DHLUS Fan Page of 2015 ...................................................................... 40
4.1.4 DHLUS Fan Page of 2016 ...................................................................... 49
4.1.5 FedEx Fan Page of 2015 ......................................................................... 58
4.1.6 FedEx Fan Page of 2016 ......................................................................... 67
4.2 Third Party Logistics Twitter Help Page ............................................................... 76
4.2.1 UPS Help Page of 2015 .......................................................................... 76
4.2.2 UPS Help Page of 2016 .......................................................................... 88
4.2.3 DHLUS Help Page of 2015 .................................................................. 100
4.2.4 DHLUS Help Page of 2016 .................................................................. 109
4.2.5 FedEx Help Page of 2015 ..................................................................... 120
4.2.6 FedEx Help Page of 2016 ..................................................................... 131
4.3 Research Findings ................................................................................................ 143
Chapter 5 Conclusions ................................................................... 154
References ....................................................................................... 157
參考文獻 Anonymous. (2012, Nov 08). FedEx keeps friends connected with the launch of an innovative, new facebook shipping app. . Business Wire.
Anonymous. (2012, Oct 11). Ryder launches blog for transportation and logistics industry professionals. Business Wire. Retrieved from http://search.proquest.com/docview/1095643108?accountid=12690
Anonymous. (2013, Nov 22). UPS delivering so much more than boxes this holiday season. Business Wire. Retrieved from http://search.proquest.com/docview/1462013833?accountid=12690
Anonymous. (2015, Feb 12). Valentine′s day study: Which online flower delivery companies are most visible in google searches and on social media? M2 Presswire Retrieved from http://search.proquest.com/docview/1654658693?accountid=12690
Anonymous. (2016, Apr 04). @CargoMtl: Follow CargoM on twitter now! PR Newswire Retrieved. Retrieved from http://search.proquest.com/docview/1778074093?accountid=12690
Anonymous. (2016, May 05). Online marketing firm fishbat reveals 3 benefits of social media marketing for the logistics industry. PR Newswire Retrieved. Retrieved from http://search.proquest.com/docview/1786779588?accountid=12690
Baird, C. H., & Parasnis, G. (2011). From social media to social customer relationship management. Strategy & Leadership, 39(5), 30-37. doi:10.1108/10878571111161507
Berkman, R. (2013). Turning a no comment company into a social media advocate. MIT Sloan Management Review, 55(1), 1-4.
Bhattacharjya, J., Mena, Michael Bourlakis, C., Ellison, A., & Tripathi, S. (2016). An exploration of logistics-related customer service provision on Twitter. International Journal of Physical Distribution & Logistics Management, 46(6/7), 659-680. doi:10.1108/ijpdlm-01-2015-0007
Biederman, D. (2011, Jul 01). 3PLs linked in. Journal of Commerce Retrieved. Journal of Commerce.
Cassidy, W. B. (2011, May 23). Tweeting for truck drivers. . Journal of Commerce.
Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior, 28(2), 561-569. doi:10.1016/j.chb.2011.11.001
Johnson, R. (2014, Aug 11). CIO, Maersk Line, A.P. Moller - Maersk Group. San Francisco: Boardroom Insiders, Inc.
Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business Horizons, 53(1), 59-68. doi:10.1016/j.bushor.2009.09.003
Kietzmann, J. H., Hermkens, K., McCarthy, I. P., & Silvestre, B. S. (2011). Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons, 54(3), 241-251. doi:10.1016/j.bushor.2011.01.005
Kim, A. J., & Ko, E. (2012). Do social media marketing activities enhance customer equity? An empirical study of luxury fashion brand. Journal of Business Research, 65(10), 1480-1486. doi:10.1016/j.jbusres.2011.10.014
Kucukaltan, B., Irani, Z., & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358. doi:10.1016/j.chb.2016.08.045
Liau, B. Y., & Tan, P. P. (2014). Gaining customer knowledge in low cost airlines through 159
text mining. Industrial Management & Data Systems, 114(9), 1344-1359. doi:10.1108/imds-07-2014-0225
Lieb, R. C., & Lieb, K. J. (2011). The North American Third Party Logistics Industry In 2011: The Provider CEO Perspective.
Lieb, R. C., & Lieb, K. J. (2013). The European Third Party Logistics Industry In 2012: The Provider CEO Perspective.
McGrath, A., & O′Connor, N. (2015). Re-defining the role of the customer in social media marketing: A formula for success.
Rapp, A., Beitelspacher, L. S., Grewal, D., & Hughes, D. E. (2013). Understanding social media effects across seller, retailer, and consumer interactions. Journal of the Academy of Marketing Science, 41(5), 547-566. doi:10.1007/s11747-013-0326-9
Rappeport, A. (2011, Apr 20). Web recruitment speeds up the delivery of good workers. Financial Times. Retrieved from http://search.proquest.com/docview/862736875?accountid=12690
Rod, J. (2014, Sep 29). How to #Getshippingtrending. . Progressive Digital Media Transportation (Incl Airports, Roadways, Railways, Shipping, Automotive & Logistics) News Retrieved Retrieved from http://search.proquest.com/docview/1566623766?accountid=12690
Sashi, C. M. (2012). Customer engagement, buyer‐seller relationships, and social media. Management Decision, 50(2), 253-272. doi:10.1108/00251741211203551
Wu, Y.-C. J., Lirn, T.-c., & Dong, T.-P. (2014). What can we learn from advertisements of logistics firms on YouTube? A cross cultural perspective. Computers in Human Behavior, 30, 542-549.
指導教授 沈建文 審核日期 2017-6-21
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