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The opening up of national economies, the globalization of economies and the new global impact technologies affect all industries. In this context, it is important to conduct an analysis at the industrial level. This involves understanding how industries are structured, how they are evolving, how they are affected by new regulations, and what are the new interactions between industry sectors.

The main objective of this course is to raise students’ awareness to the importance of the differences between industries in the contemporary economy. This course provides a critical review of the different approaches to industry analysis. It aims to help students understand industrial developments leading to the formation of new markets, aspects related to business connectivity and the social structure of industries, and how differences between industries affect the competitiveness and behavior of firms, their performance and their strategy of entering foreign markets.

At the methodological level, this course relies on different tools of business intelligence. It is based in particular on a technological platform (nuance-R) which combines a set of analysis tools based on the R programming language. See www.drhector.org.

Through this course, students will learn in terms of content relating to the industrial sectors and also in terms of method with the tools of business intelligence.

The course examines the following topics:

  • Differences between industries, market structures, evaluation of industrial performance, value added, competitiveness, degree of rivalry
  • New interactions between industries, value chains, industrial clusters, aspects of business connectivity (networks) within different industries
  • Effects of industry on corporate behavior: entry strategy, financing, performance.

 

CALENDAR:

Lun 08:30 – 11:30
2018-01-08 – 2018-01-08
Decelles, Natashquan
Lun 08:30 – 11:30
2018-01-15 – 2018-01-15
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-01-22 – 2018-01-22
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-01-29 – 2018-01-29 – Invited Lecturer
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-02-05 – 2018-02-05
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-02-12 – 2018-02-12
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-02-19 – 2018-02-19
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-03-05 – 2018-03-05
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-03-12 – 2018-03-12 – Invited Lecturer
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-03-19 – 2018-03-19
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-03-26 – 2018-03-26
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-04-09 – 2018-04-09
Decelles, Natashquan
 
Lun 08:30 – 11:30
2018-04-16 – 2018-04-16 – No class
Decelles, Natashquan

 

Two extra 5@7 at CIRANO (1130 Sherbrooke West Ave, Suite 1400), not mandatory, just for fun:

  1. Thursday, February 8, 2017, 5 PM-7 PM: Presentation of CIRANO and the Social Data Science Lab
  2. Tuesday, April 3, 2017, 5 PM-7 PM: Discussion about “Competitiveness in an Uncertain World”

 

PEDAGOGICAL APPROACH:

This course is taught using the Harvard Business School case method, supplemented by student readings and presentations. It is built on the materials developed by the Institute of Strategy and Competitiveness at Harvard Business School. It also relies on the business intelligence and business analysis tools developed at CIRANO, as well as a privileged access to www.mondo.international.

This course consists of twelve sessions. Each session is divided into two equal periods. The first period deals with course content and readings (use of case studies), and the second period encourages the mastery of business intelligence tools and sector analysis, particularly through group work.

More specifically, each session is divided into two parts: (1) a case study and (2) learning analytical tools using the nuance-R business intelligence platform, based on the R programming language.

In this course, the teacher uses book chapters, articles, case studies and videos to help students develop an advanced understanding of the industrial aspects. This material will help students familiarize themselves with key frameworks and approaches to industry analysis. This course also includes interactive forms of teaching based on the business intelligence platform of nuance-R, based on the R programming language.

Fluency in computer language, statistics or econometrics is not required. However, through the use of the nuance-R platform, students will develop basic skills in statistics and econometrics using the R programming language. Students need thus to have some openness about acquiring a new set of skills.

In addition, students will develop skills in the use of statistical sources and websites (eg databases: WITS, OECD, United Nations or www.mondo.international). The sessions will require active input from students in the form of discussions and team presentations. The professor therefore expects students to make the necessary readings for each session and to be able to ask questions and make constructive comments.

Office hours: by appointment and open hours on Thursdays from 9:00 AM to 11:30 AM.

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