112年第2學期-0892 零售管理 課程資訊

教育目標

This course aims to equip the students about the knowledge and skill to manage a retail. In this course the students are not only given the theoretical part of retail management, but the student will also develop their skill through case study and the use of software such as Ms Excel Macro and R software especially for distribution management and for retail analytics. Data set retrieved from POS for several retail is also provided in this subject so that the students can learn from the real data.

課程概述

本課程主要目的在介紹零售管理之基本觀念、零售策略與規劃、商店管理、執行、商品管理及行銷組合。

基本資料

選修課，學分數：0-3
上課時間：五/5,6,7[C101]
修課班級：工工系3,4
修課年級：3年級以上
選課備註：系選；英語授課；國際學院不分系英語學士班2873課程併班上課

參考書目

Part 1: Retail Management
[1] Berman, B. R., Evans, J. R., & Chatterjee, P. M. (2017). Retail Management, Global Edition (13th ed.). Pearson International Content. https://bookshelf.vitalsource.com/books/9781292214689

Part 2: Retail Analytics
[2] Cox, E. (2011). Retail Analytics: The Secret Weapon. Wiley Professional Development (P&T).
https://bookshelf.vitalsource.com/books/9781118148327

Part 3: Sustainability in Retailing
[3] Evans, J. A., & Foster, A. M. (2015). Sustainable Retail Refrigeration. Wiley Professional, Reference & Trade (Wiley K&L). https://bookshelf.vitalsource.com/books/9781118927403

[4] Case study:
The Impact of the Covid-19 Pandemic on Product Assortment in the Essential Retail Sector and How Retailers Should Respond (Ririn Diar Astanti)
https://studentsuajyacmy.sharepoint.com/:b:/g/personal/ririn_astanti_uajy_ac_id/EVJJxoa3TMBNva3xj2LFyQ8BbC2o3EUG_kBPambd p1tm3w?e=9bNEiT

Forecasting of Purchase Dependent Power Demands using Vector Autoregressive Model as Basis for Inventory Policy in a Retailer (The Jin Ai, Ririn Diar Astanti, Maria Monica Wardoyo, Hynh Trung Luong)
https://studentsuajyacmy.sharepoint.com/:b:/g/personal/ririn_astanti_uajy_ac_id/EX5w7wUVGa5OiZLrRbDMgUMBWihLWJjs4nj9VrTxYHcAyQ?e=WVWT85

Data Set:
https://studentsuajyacmy.sharepoint.com/:x:/g/personal/ririn_astanti_uajy_ac_id/ESRsv05ImXpNhspxqS5STkYB5kuGVk4sk7TM6vDJJ9NlIw?e=Yjn70B

Sofware:
MS Excel (licensed software)– Please activate Solver
R Software (open-source software):

Download R software through this link:
https://cran.r-project.org/bin/windows/base/

Download R studio
https://rstudio.com/products/rstudio/download