Brown Bag @ Tanjong Pagar: Technology Transformation: What Are You Missing Out? | Understanding Customer Product Reviews and Ratings: A Case at Amazon – SUSS

What is the Brown Bag @ Tanjong Pagar Series ?

HeadHunt is partnering with 4 institutions for our 3rd brown bag lunch series, which aims to inspire working professionals to develop a passion for lifelong learning. We are excited to bring you a weekly series of free workshops that would help with your professional life.

Our partners will share their industry expertise and give you an opportunity to sit-in on a sample class with one of the faculty members.

 

Brown Bag @ Tanjong Pagar (9th July) – Information (Topic 1)

Topic :  Technology Transformation: What Are You Missing Out?

Institution : School of Business, SUSS

Speaker :

Professor David Lee
School of Business, SUSS

Synopsis:

Prof Lee will give an overview of the change in global business environment and corporate strategy driven by technology changes. In particular, the talk will focus on the global changes brought about by the accelerated adoption and commercialization of new tech LASIC business models in China.  Business education in universities will also now be focusing in ABCDE so as to prepare the students to harness technology for sustainable business. Not familiar with acronyms such as LASIC and ABCDE?  Come and attend this talk to find out more on how your company and your future will be affected.


Brown Bag @ Tanjong Pagar (9th July) – Information (Topic 2)

Topic :  Understanding Customer Product Reviews and Ratings: A Case at Amazon

Institution : School of Business, SUSS

Speaker :

Dr. Jiang Zhiying
Head (Graduate Certificate & Diploma in Digital Marketing Programmes)
School of Business, SUSS

Synopsis:

Brands need to leverage the enormous volumes of feedback that consumers leave on social media. Existing methods for understanding free-text based consumer feedback data (e.g. online reviews) are predominantly qualitative (e.g. sentiment analysis). Qualitative approaches, however, cannot provide quantitative predictions of a potential rating increase following a product improvement. This talk will discuss a novel method that converts reviews and ratings into statistical data that can be used to forecast rating performance. This is achieved by assigning quantitative values of importance to the various features of a given product based on each feature’s percentage contribution to the product rating. With such information, marketing and innovation teams can optimise their investment decisions to address consumer needs accurately and therefore maximise return on investment.

 

Tickets :

Free Ticket

  • Entry to respective brown bag session
  • No Lunch Provided

VIP Ticket (Includes Lunch – $5 – Refundable Attendance Deposit)

  • Entry to the respective brown bag session
  • Brown Bag Lunch (Bento & Bottled Water) will be provided
  • The $5 deposit will be refunded back at the venue when you turn up for the brown bag session

 

Weekly Series

For more information on the other sessions, please click on the links above or email us at [email protected]

 

This Brown Bag Series @ Tanjong Pagar is brought to you by HeadHunt and SkillsFuture Singapore (SSG) and is part of the SkillsFuture Festival Enterprise Series.

 

 

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Topic 1: Technology Transformation: What Are You Missing Out?
Speaker:
Professor David Lee
School of Business, SUSS

Synopsis:
Prof Lee will give an overview of the change in global business environment and corporate strategy driven by technology changes. In particular, the talk will focus on the global changes brought about by the accelerated adoption and commercialization of new tech LASIC business models in China. Business education in universities will also now be focusing in ABCDE so as to prepare the students to harness technology for sustainable business. Not familiar with acronyms such as LASIC and ABCDE? Come and attend this talk to find out more on how your company and your future will be affected.


Topic 2: Understanding Customer Product Reviews and Ratings: A Case at Amazon
Speaker:
Dr. Jiang Zhiying
Head (Graduate Certificate & Diploma in Digital Marketing Programmes)
School of Business, SUSS

Synopsis:
Brands need to leverage the enormous volumes of feedback that consumers leave on social media. Existing methods for understanding free-text based consumer feedback data (e.g. online reviews) are predominantly qualitative (e.g. sentiment analysis). Qualitative approaches, however, cannot provide quantitative predictions of a potential rating increase following a product improvement. This talk will discuss a novel method that converts reviews and ratings into statistical data that can be used to forecast rating performance. This is achieved by assigning quantitative values of importance to the various features of a given product based on each feature’s percentage contribution to the product rating. With such information, marketing and innovation teams can optimise their investment decisions to address consumer needs accurately and therefore maximise return on investment.
Singapore University of Social Sciences (SUSS): Technology Transformation: What Are You Missing Out? | Understanding Customer Product Reviews and Ratings: A Case at Amazon
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