Structure of the Tissex Company
Short Description
case study...
Description
1. Structure of the Tissex Company’s product portfolio One way to proceed is to use the three-dimensional macro-segmentation methods, to identify the six major business units units (MBUs) in which which Tissex operates. operates. The segmentation segmentation chart is presented presented in Figure Figure TN8.1 and the main economic data for each business unit in Table TN8.1.
Functions
Printing ribbons
Printing Technical fabrics
Protection Finishing
Leisure
Clothing
Linings
Sportswear fabrics
Polyester fabrics
Groups of buyers Spinning Weaving Printing Dyeing
Garment industry
Dangerous obs – Army – Chemical – Police – …
– Menswear – Womenswear – …
Office equipment – Typewriters – Computers – Printers – …
Technologies
Figure TN8.1 Macro-segmentation analysis of the Tissex reference market
This teaching note has been prepared by J.-J. Lambin on the base of a note written by G. Marion (ESC, Lyon). All rights reserved. © Jean-Jacques Lambin, 2000. Market-driven 2000. Market-driven Management Management , published by Macmillan Press
27
Figures TN8.2 and TN8.3 give graphic illustrations of the sales revenue and the gross profit margin, to be used to compare the relative importance of each business unit. In Table TN8.2, the key success factors are identified for each MBU and the strengths and weaknesses of the Tissex Company.
The growth-share matrix The growth-share matrix is graphically presented in Figure TN8.4. Similar charts can be developed using alternatively sales revenue or gross profit margins. Analysis of the matrix leads to the following observations: A very large MBU (polyester) is located in the lame ducks quadrant (34.7%); The MBU linings is a cash cow and represents 29.9% of the total sales revenue; Sportswear fabrics (12.5%) and ribbons (16.8%) are problem children; Technical fabrics are a star but represent a relatively small proportion (12.5%) of total sales. © Jean-Jacques Lambin, 2000. Market-driven 2000. Market-driven Management Management , published by Macmillan Press
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The recommendation suggested by this analysis would be to adopt a low profile (or to divest) on polyester, to invest heavily on sportswear fabrics, ribbons and technical fabrics, using the cash generated by linings. One observes however that linings generated only 17.6 per cent of the total gross profit margin, while polyester represents 14.3 per cent, a non-negligible amount. The students should be reminded that the growth-share matrix will yield valid conclusions only if the two underlying hypotheses, life cycle and experience effects, are verified in this particular industry (see main text, Chapter 9, pp. 381 – 3).
The multi-factor matrix The students should be asked to identify six to seven attractiveness and competitiveness indicators, which are relevant for this market. Examples of indicators are presented in Tables TN8.3 and TN8.6. Students sometimes have difficulty in understanding the differences between market attractiveness indicators and company competitiveness indicators. Attractiveness indicators should be factors beyond the control of the firm (opportunities and threats), while competitiveness indicators are measures of the company distinctive qualities (strengths and weaknesses). A list of possible indicators is provided in Chapter 11 (see main text, Chapter 9, p. 389 and p. 487). The students should also define the scale by proposing semantic supports for each position on the 5-point scales. The students could then be subdivided in groups to evaluate the five MBUs using the empty grids presented in Tables TN8.4 and TN8.7. For the competitive indicators, the scores should be given by reference to the priority competitor within each MBU. Examples of evaluation scores are presented in Tables TN8.5 and TN8.8. The resulting multi-factor matrix is presented in Figure TN8.5. Significant differences can be observed between the multi-factor matrix and the growth-share matrix. The analysis of the scores of Tables TN8.5 and TN8.8 is useful to reconciliate the results. For example, in the growth-share matrix analysis, polyester and linings were rated as unattractive in terms of growth rate. But in the multi-factor matrix these two MBUs are rated as very attractive in terms of market accessibility and duration of the PLC. Similarly, ribbons and sportswear are rated as very unattractive by reference to strength of competition. Thus, the overall picture is very different. The same type of comparison can be made with competitiveness indicators. In terms of relative market share, the competitiveness of the linings MBU was very high; but this activity scored very poorly on four other indicators of competitiveness: unit cost, distinctive qualities, sales organisation and image.
Propose a marketing strategy for each MBU In Table TN8.9 strategic options are suggested for each MBU. The student should refer to Chapter 9 in the main text (see in particular Exhibit 9.11, p. 412) to identify feasible strategies.
Tissex Key economic and competitive data
Table TN8.1
Technical
Printing
Fabrics
Ribbons
Sportswear
Polyester
Linings
Sales turnover
33 MF (6%)
90 MF (17%)
67 MF (12%)
186 MF(35%)
160 MF(30%)
Gross margin: rate
34%
30%
36%
7%
10%
Gross margin: value
11 MF (12%)
27 MF (30%)
24 MF (26%)
13 MF (14%)
16 MF (18%)
Reference market
France
Europe/USA
France
Europe
Europe
Market growth
9%
6%
8%
0%
–2.5%
Market share
30%
5%
15%
1%
12%
turnover
5%
60%
5%
40%
55%
Number of customers
100
90
30
1400
2000
TISSEX rank
1st
3rd
2nd
very low
1st
Direct competitor
GUILLIEZ
[Japan/Germany] SPORTING
[Japan]
DECKERMAN
18%
7/8%
5%
7%
Export share in the sales
Share of the direct competitor
20%
Ribbons 16.8% 90
Polyester 14.3% 13 Linings 17.6% 16
Sportswear fabrics 12.5% 67
Linings 29.9% 160
Technical fabrics 12.1% 11
Technical fabrics 6.2% 33 Sportswear fabrics 26.4% 24 Ribbons 29.7% 27
Polyester 34.7% 186
Table TN8.2
Key success factors TISSEX strengths
Main diagnosis factors per business unit Technical
Printing
Fabrics
Ribbons
Service
Sportwear
Quality
Quality
Price
Delivery
Technical
Good
Good
know-how
production
commercial
equipment
network
Good
Polyester
Linings
Price
Price
Production
Unit cost
equipment
Customers
Supply
customisation
diversity TISSEX weaknesses
No brand
selection
Figure TN8.2
Sales revenue
Gross profit margin
(million FF)
(million FF)
Sales revenue and gross profit margin Sales Revenue (SR)(SR)
© Jean-Jacques Lambin, 2000. Market-driven Management , published by Macmillan Press
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Gross Profit Margin (GM)(GM)
Million FF 200 186
160
Tissex
150
100
90 67
50
33
27
24
16
13
11 0 Technical fabrics
Sportswear
Ribbons
Polyester
Lining
fabrics
Strategic Business Units
Sales revenue and gross profit margin
Figure TN8.3
Market growth rate + 15%
Technical fabrics ( SR: 33 – GM : 11)
Sportswear fabrics ( SR: 67 – GM : 24)
Ribbons ( SR: 90 – GM : 27) + 5%
Linings ( SR: 160 – GM : 16)
Polyester ( SR: 186 – GM : 13)
– 5%
8.0
4.0
2.0
0.5
1.0
0.25
0.125
Relative market share SR = Sales revenue; GM = Gross profit margin
Figure TN8.4
Strategic marketing diagnosis: BCG matrix
© Jean-Jacques Lambin, 2000. Market-driven Management , published by Macmillan Press
Table TN8.3 Attractiveness – evaluation indicators Evaluation scale Indicators
Weak
Weight (100)
Market accessibility
1
Moderate 2
Outside Europe
–
© Jean-Jacques Lambin, 2000. Market-driven Management , published by Macmillan Press
4
3
Europe & USA
Strong 4
5
Europe
Tissex –
& USA
Market growth rate
–
< 5%
5% – 10%
> 10%
Length of the life cycle
–
< 2 years
2 – 5 years
> 5 years
Gross profit potential
–
< 15%
15% – 25%
> 25%
Strength of competition
–
Structured
Unstructured
Atomised
–
oligopoly
competition
competition
–
Commoditised
Weak
Strong
–
product
differentiation
differentiation
–
> 2000
2000 – 200
< 200
Potential for differentiation Concentration of customers
Table TN8.4 Attracti
veness – acti vities evaluation
Indicators Weight
Major business units (MBUs) Technical
Printing
Sportswear
Polyester
Linings
abrics
ribbons
Market accessibility –
–
–
–
–
–
Market growth rate –
–
–
–
–
–
–
–
–
–
–
–
–
–
–
–
Length of the life cycle
–
Gross profit potential – Strength of competition
–
–
–
–
–
–
Potential for differentiation
–
–
–
–
–
–
Concentration of customers
–
–
–
–
–
–
–
–
–
–
–
Weighted mean
100
Table TN8.5 Attractiveness – Indicators W
activities e valuation
eight
Major business units (MBUs) Technical abrics
Printing
Sportswear
Polyester
Linings
ribbons
Market accessibility
15
5
3
5
4
4
Market growth rate
15
4
3
3
1
1
Length of the life cycle
15
5
3
4
4
3
Gross profit potential
15
5
5
5
1
1
Strength of competition
15
3
1
1
1
1
Potential for differentiation
15
5
3
4
1
1
Concentration of customers
10
5
5
5
2
1
100
4.55
3.20
3.80
2.00
1.75
Weighted mean
© Jean-Jacques Lambin, 2000. Market-driven Management , published by Macmillan Press
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Tissex
Table TN8.6 Competitiveness – evaluation indicators Evaluation scale Indicators
Weak
Weight (100)
Moderate
1
2
Strong
3
4
5
Relative market share
–
< 1/3 leader
> 1/3 leader
Leader
Unit cost
–
> direct
= direct
< direct
competitors
competitors
competitors
‘Me too’
Moderately
‘Unique selling
product
differentiated
proposition’
Distinctive qualities
–
Technological know-how
–
Weak control
Moderate
Strong
control
control
Sales organisation
–
Independent
Selective
Direct sales
–
distributors
distribution
–
Very weak
Fuzzy
Image
Table TN8.7 Compe Indicators
Strong
titiveness – a ctivities evaluation Weight
Major business units (MBUs) Technical
Printing
abrics
ribbons
Sportswear
Polyester
Linings
Relative market share
–
–
–
–
–
–
Unit cost
–
–
–
–
–
–
Distinctive qualities
–
–
–
–
–
–
Technological know-how
–
–
–
–
–
–
Sales organisation
–
–
–
–
–
–
Image
–
–
–
–
–
–
100
–
–
–
–
–
Weighted mean
Table TN8.8 Comp
etitiveness – activitie s evaluation
Indicators
Weight
Major business units (MBUs) Technical abrics
Printing
Sportswear
Polyester
Linings
ribbons
Relative market share
20
5
3
4
1
5
Unit cost
20
3
3
4
1
1
Distinctive qualities
15
5
2
4
1
1
Technological know-how
15
5
5
5
5
5
Sales organisation
15
5
5
4
4
1
Image
15
5
4
3
1
1
100
4.60
3.60
4.00
2.05
2.40
Weighted mean
© Jean-Jacques Lambin, 2000. Market-driven Man agement , published by Macmillan Press
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Tissex
Attractiveness rate
Technical fabrics ( SR: 33 – GM : 11) 5
Sportswear fabrics ( SR: 67 – GM : 24)
4
Polyester ( SR: 186 – GM : 13)
Ribbons ( SR: 90 – GM : 27)
3
2
Linings ( SR: 160 – GM : 16) 1
1
2
3
4
5
Competitiveness rate SR = Sales revenue; GM = Gross profit margin
Figure TN8.5 Strategic marketing diagnosis: attractiveness – competitiveness matrix
Table TN8.9
Strategic choices
Activities
Possible strategic choice
Recommendations
Technical fabrics
Market share conquest Market
Conquest
share defence Hold Printing ribbons
Sportswear
Market share conquest Hold then divest
Leave
Market share conquest
Conquest
Hold Polyester
Market share defence Hold the activity Cash maximisation
Maximisation
Divest Linings
Market share defence Hold the activity
Hold
Cash maximisation
© Jean-Jacques Lambin, 2000. Market-driven Man agement , published by Macmillan Press
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