This document provides guidance for a 4000 word report and presentation on international strategic management. It outlines the requirements and structure for the assignment, including templates for tables to compare country-level macroenvironmental data and city-level socio-economic and urban mobility readiness data for two locations. Guidance is given on weighting certain factors, conducting research, and ensuring accurate and consistent data is used from reputable sources.

1. International Strategic Management
business report and need an explanation and answer to help me learn.
I need someone to help me write a 4000 word Report and a table format presentation.
Check attachments details for the brief, guidance, structure and tips that would help.
Requirements: 4000 word
International Strategic Management – Assignment 1
Task 1 – Table Templates
Add / delete rows to each table as required
Provide a list of the data sources you have used for Task 1 after the Total Scores by
Attractiveness table
* Multiply the Socio-Economic (City Level) and Urban Mobility Readiness (City Level) total
scores for each city by a weighting of 1.5. Remember, urban mobility is typically addressed
at city level rather than at country level and should therefore be given a weighting to reflect
its more immediate relevance to the firm than the country level macro-environmental
factors.
** Delete as appropriate
Assessment Information/Brief 2022/23
International Strategic Management
January 2023
Assignment
USEFUL DATA SOURCES
The below links are provided to help you source data and information for several of the
assignment tasks but you are expected to undertake additional independent research to
address the tasks.
Sustainable Mobility in Cities – background information
The following is a very useful overview of sustainable mobility in cities; carsharing is one of
several mobility offerings that may contribute to sustainable mobility in cities. This report
also provides a very helpful background on the measures used in the Urban Mobility
Readiness Index which will provide you with city-level data on Urban Mobility Readiness
(see useful links below):
The following provides a very useful overview of the context for carsharing in cities
(increasing urbanization and digitization giving rise to the collaborative economy;
carsharing disrupting existing transport choices; different types of business models and the

2. need to customise these to the specific contexts of different cities; key things for
automakers and carsharing providers to consider):
There is also a short that accompanies this report
Carsharing Sector – background information
The following are a series of short articles which provide a useful overview of the
carsharing industry at a broad level:
SEAT & the Minimó – background information
Task 1: Country-Level Macro-environmental Data
Task 1: City-Level Socio-Economic and Urban Mobility Readiness Data
You could also look at the for additional information
You could also look at the for additional information
Task 2: Carsharing in your Chosen Market
You must undertake your own independent research and data collection for Task 2 as the
data you need will depend upon which city-level market you identified in Task 1 as being
the more attractive for the SEAT ‘Minimό’. You will find 2 folders (‘Carsharing Information:
Dubai’ and ‘Carsharing Information: Stockholm’) in the Assignment folder on the module
Blackboard site which contain some articles about carsharing in each city; the articles in the
folder for your chosen city may provide a useful starting point for your independent
research for Task 2.
Task 3 (internal value-adding activities)
Several chapters of SEAT’s most recent Annual Reports may be of relevance with regards to
Task 3:
Task 4 (Modes of Entry)
You must undertake your own independent reflection and evaluation for Task 4.
Task 5 (creating shared value):
You must undertake your own independent reflection and evaluation for Task 5 but you
may find some content in SEAT’s most recent Annual Reports to be of relevance:
International Strategic Management – Assignment
Things to Note When Completing Task 1
The Assignment 1 briefing slides are intended only as an illustrative example to show:
how data can be compared across 2 countries / cities on a like-for-like basis, using the same
sources
how the 2 countries / cities can be scored in terms of their overall attractiveness
so please do not take the example slides literally!
Task 1 Table Templates
You must use the table templates provided by your tutors.
Focus

3. Remember that while a country’s national macro-environment provides an important wider
context for this assignment, you will also need to narrow your evaluation down to the city-
level
because urban mobility is typically addressed at city level rather than at country level.
You must identify those country-level and city-level factors that are relevant to your
company.
For example, do you really think that a factor such as ‘exposure to unsafe drinking water’ is
of direct relevance to SEAT’s deciding in which city to launch the ‘Minimό’?
Process
Having identified the country-level and city-level factors that are relevant to SEAT, you need
to decide on their relative importance to the company in order to assign a weighting to
them.
Think carefully about why some factors may be of greater importance to SEAT than others.
Once you have decided upon the relative weightings for a sub-group of factors (e.g. political
factors), then enter the data for each country (or city).
You are only comparing 2 countries / cities. Therefore, once you have decided which
country (or city) has the more attractive ranking / score / numerical data for a particular
factor, award that country (or city) a score of 2; award a score of 1 for the other country (or
city) for the same factor.
Then multiply the score awarded to each country (or city) by the weighting multiplier that
you have given to that particular factor.
Once this process has been completed for a sub-group of factors (e.g. political factors), total
up the scores for each country (or city).
Repeat the same process again for the next sub-group of factors (e.g. legal factors) until you
have scores for all 5 sub-groups of factors.
Once you have undertaken the above process for both country-level factors (Political, Legal,
Economic and Technological) and for city-level factors (Socio-Economic and Urban Mobility
Readiness), present a table of Total Scores by Attractiveness; add the scores for each of the
5 groups of sub-factors for each country and city into this table.
Then multiply the Socio-Economic and Urban Mobility Readiness total scores for each city
by a weighting of 1.5.
Remember, urban mobility is typically addressed at city level rather than at country level;
therefore, city-level socio-economic and urban mobility factors need to be given a weighting
to reflect their more immediate relevance to the firm than the country level macro-
environmental factors.
Finally, add up the scores for all sub-groups of factors for each country / city in the Total
Scores by Attractiveness table to arrive at overall scores of attractiveness.
Data
Make sure that you are consistent in using the same data source for a country or city’s
factor; if you do not do this, then you are not being truly comparative.
As you can see from the tables in the Assignment 1 briefing slides, a lot of data may be in the
form of country rankings.
When using country rankings for a factor, make sure that you are clear what the ranking

4. means and provide a brief explanation of this as per the examples in the Assignment 1
briefing slides.
For example, if Country A is ranked as 1/140 for ‘Incidence of Corruption’, does this mean
Country A is the most or least corrupt? Being unclear as to what rankings mean can lead to
wild results!
As you can see from the tables in the Assignment 1 briefing slides, some data may be in the
form of a score (e.g. political / economic / financial risk are each given a score out of 5 by
A.M. Best Country Risk Report).
Again, make sure you are clear when obtaining these scores as to whether 1 out of 5
signifies very low or very high risk!
As you can see from the tables in the Assignment 1 briefing slides, other data may be in the
form of straightforward numbers such as the socio-economic data in the Urban Mobility
Readiness Index.
You need to take care in determining whether this data is attractive or not to your company
e.g. a country or city may have a very large population (potentially attractive) but a very low
GDP per capita (generally unattractive unless your company has a strategy such as targeting
the so-called ‘bottom of the pyramid’ market).
Make sure that you identify the source of each piece of data used; failure to do so means that
markers cannot verify the accuracy of the data.
The referencing style used in the Assignment 1 briefing slides is arguably the simplest and
clearest way of referencing your data sources for Task 1.