Cornell Task (五) 2016级申佩宜:意识到文化差异才能提升沟通效率

2017年08月05日
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导语:清华-康奈尔双学位金融MBA项目的在读学生在学习期间需进行两次赴美集中学习,每次需在大洋彼岸进行2~3周充实的理论+实践课程。2016级同学们第二次的赴美学习之旅已经结束,但同学们在华尔街实践中力争上游的身影还历历在目,在课堂上受到康奈尔教授的赞扬亦犹在耳边。为了铭记这些荣耀,我们收集了赴美同学的部分优秀作业,整理出“Cornell Task”系列,干货满满,敬请期待。
  今天推出的2016级申佩宜同学的课程作业就是关于与Cornell-Tech MBA同学一同参与Fin-Tech Hackathon课程的感想和体会,原文为英文,由学生本人翻译供稿。

图为:申佩宜赴美期间与Robert H. Frank教授合影Robert H. Frank合影
 
以下为作业原文:
 
Name: Peiyi Shen
Professor: Jason Hogg
Course: Hackathon
Date: 2017.5.2

 
【Reflection of JD Hackathon】
 
The hackathon is very impressive, the students from our program and the students from Cornell tech were regrouped, it means that each team has students from china and oversea. The theme of the hackathon was given by the sponsor JD.com, though team work we should give a presentation about how to help JD.com in improving in intelligent supply chain, retail intelligence and dynamic pricing.

During the two days, we should collaborate to come up with the best solution and prepare the final competition. Students from different country have their own knowledge and cultural background, so cooperation could crash out many wonderful ideas, but it was also because of this, the communication barriers may also create a lot of different opinions. Since time was limited, we still want to make more innovation in technique and business model.

Our team had a few discussions before the event and we had chosen the retail intelligence as our topic, we researched and analyze the current situation of JD.com,form our Tsinghua-Cornell students’ prospection, we all recognized that JD.com’s commodity system is not perfect, if we can do some valuable innovation on comments sold on the JD.com, then can improve the user’s residence time on the page, the purchase conversion rate can be obviously improved. Many researches and studies showed that the recommendations from the people who we trust will help you a lot when we were making decision about whether to buy the goods or not. Therefore, we hope to be able to grab the information about the goods from social media including the relevant images, text, video and other information, combined these information with the semantic analysis and emotional analysis methods, finally to show these information aggregation websites about the goods then the comments may be more valuable than nowadays. The Cornell Tech student chose another aspect about retailing.They want to do something to improve the sales of clothing category,JD’s clothing retail business is weak compare with its biggest competitor Tmall, their idea is to establish a fashion lab project for JD.com, they will collect customer information on the be fond of clothes from offline store, and analyze the information such as the trend of popular magazines, finally get the popular trend and feedback to clothing manufacturers, expecting to make a more suitable for the requirements of the dress. When we discuss the pro and con of the two ideas, we realized that the respective opinion are based on different perspectives, we knew that JD was one of China's most successful enterprises, everybody is JD.com’s client, we think we know more about what they need and their future development strategy, our scheme is more like realistic situation, even can bring real value for JD.com, but oversea students think more powerful and unconstrained style, creative, able to attract the attention of people. So the best solution is actually a fusion of both advantages, formed a comprehensive solution. After a long discussion, we decided to adopt the idea of the Cornell Tech students, but in one of the key part can use our model, we set up a evaluation system,which could regression to all kinds of factors that affect the clothing fashion, used to predict the trend, further improve the efficiency of the sales of intelligent degree and in the supply chain.

Eventually our plan didn't get the top three position, I'm sure that we have many shortcomings, in terms of the cultural differences is one of the most important and improve the efficiency of communication is the most appropriate way.

译文
 
学生: 申佩宜
指导教授: Jason HOGG
课程: Hackathon
日期:2017年5月2日

 
【参加JD Hackathon的感言】
 
  这次Hackathon活动给我留下深刻的印象,我们清华-康奈尔双学位金融MBA的同学和Cornell-tech的同学混合分组,意味着每组既有中国同学也有海外同学,Hackathon的主题是由活动赞助方京东商城选定的,每组成员需要通过团队合作完成一个方案展示,从智能供应链、智能零售、动态定价三个领域帮助京东商城改善现状。

  在短短两天时间里,我们需要做出心目中的最佳方案并完成最后展示和评比。因为我们来自不同的国家,有着不同的知识和文化背景,能够碰撞出很多有趣的想法,但也正因为如此,沟通的障碍也使大家产生了不少分歧。虽然时间有限,我们还是希望我们的方案能够在技术上和模式上都有所创新。

  我们组在活动正式开始之前就确定了选择智能零售作为主题,在对京东商城零售的现状做了研究和分析,我们发现了一些问题。从我们清华学生的角度来说,我们认为京东商城上的商品评论系统并不完美,如果能在商品评论方面做一些创新,能够使客户留在购买页面上的时间增加,从而促进销售的转化。很多研究表明,由你所信任的人对你进行的推荐能够对购买决策产生巨大的影响,因此,我们的想法是如果能够从用户个人的社交媒体上抓取关于商品的文字、图片、视频信息,结合语义分析和情绪分析技术,将这些信息重新分类展示在商品的评论区内会比现在的评论方式更有价值。Cornell-tech的同学则选择了另外的角度来改善京东的零售,他们选择了服装品类作为突破点,京东在服装销售上相对最大的竞争对手天猫是比较弱势的,他们认为可以帮助京东建立一个线下的潮流实验室,通过这个潮流实验室来收集线下客户对服装潮流的偏好,最终将捕捉到的潮流信息反馈给服装的供应商,让生产和销售更贴近需求。

  当我们在讨论这两个想法各自的优劣时,我们发现各自的观点差异其实是由于视角的不同,京东是中国非常成功的企业,作为中国学生,我们都是京东的客户,因此更了解京东的发展战略,观点更符合实际,能够产生现实的意义;但是海外同学认为,能够吸引人的方案不应受到固定思维的限制。综合考虑,最好的方式是融合两种观点的优势,做出一个综合的方案。充分的讨论后,大家决定采用Cornell-tech同学们的观点作为主线,并在关键的部分采用我们的模型,我们建立了一个评价的体系,将所有的因素纳入考虑,用来预测流行的趋势,同时促进销售和供应链的效率提升。

  最终我们的方案没有得到评比的奖项,也确实意识到了一些不足,其中最重要的一点是意识到文化差异才能提升沟通的效率。
简介 Hackathon的主题是由活动赞助方京东商城选定的,每组成员需要通过团队合作完成一个方案展示,从智能供应链、智能零售、动态定价三个领域帮助京东商城改善现状。

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