3. | 3
technical specifications | nine years of studies
since 2006, Format has carried out every year a monitoring survey
on credit management tools used by Italian companies.
the results of the monitoring study are transferred to subscribers of
the survey for a fee.
customizations of the study can be arranged (e.g., analysis of
survey areas of specific interest to a customer). Customisations lead
to an increase in costs. The results of the customisations remain the
property of the Client.
4. | 4
Sample survey, carried out with CATI telephone interviews (computer
assisted telephone interviews).
Description of the universe of companies of interest:
technical specifications | represented universe
The sampling plan with reference to turnover is slightly different from previous years.*
Italian Companies Legal form Turnover Size
Turnover
between 2.5
million Euros
and 149.9
million Euros
Companies
with more than
10 employees
Excluding:
farms;
players in public
administration;
players in the financial
sector;
companies that work for
cash;
companies with a single
customer or operating only
within their own group;
companies that work
exclusively for the public
sector.
Corporations
5. | 5
technical specifications | analysis of companies
The sample of companies is stratified
according to the following criteria:
The sample of companies is studied according
to the following criteria:
Territory
Company size
Sector of economic activity
(manufacturing, trade, services)
Company turnover (2.5 to 9.9 mil;
10 to 49.9 mil; 50 to 149.9 mil)
Italian territory
North West (Valle d'Aosta,
Piemonte, Liguria, Lombardia)
North East (Trentino Alto Adige,
Veneto, Friuli Venezia Giulia, Emilia
Romagna)
Centre (Tuscany, Marche,
Umbria, Lazio)
South and Islands (Campania,
Calabria, Abruzzo, Molise, Puglia,
Basilicata, Sicily, Sardegna)
Size of companies
3 classes based on the number of
employees:
Small companies(10-49
employees)
Medium-sized companies
(49-249 employees)
Large companies (more than
249 employees)
8. | 8
observed phenomena | characterisation of the demand
Characterisation of
the demand
Level of knowledge
of the tools for
credit management
Level of use of the
tools for credit
management
users
ANALYSIS OF THE
USERS
-Size
-Turnover
-Sector
-Geographical area
Note: for non-users the
reasons for "non-use" are
analysed.
Means within the company
Financial instruments
Business Information
Credit Insurance
Debt collection
Law Office
Factoring
9. | 9
observed phenomena | services and competitors
Tools for credit
management
Policies of
use of the
tools for
credit
management
Level of
knowledge of
the single
tools for credit
management
Competitors
known and
used:
- Notoriety
- Channels of
knowledge and
information
competitors
Nota:
A) analysis of the best known
and most widely used
competitors for each single
instrument for credit
management.
B) How businesses have
come to know the suppliers.
C) On what basis they have
been chosen.
D) Who chooses the suppliers
within companies.
E) How businesses keep each
other informed about
suppliers.
Means within the
company
Financial instruments
Business Information
Credit Insurance
Debt collection
Law Office
Factoring
10. | 10
observed phenomena | policies for credit management
How to use tools for reducing the risk
of insolvency
Sales
information:
- Prevention of
financial
risk for the company
- Assessment of
reliability of new
customers
- Prevention of risks of
commercial insolvency
Factoring:
- Credit management
and collection
- Advance
compensation of credit
transfers
- Taking the risk of
default on transferred
debts
Credit
insurance:
- Assistance in the
assumption and
management of trade
receivables
- Cover and
compensation for loss
incurred (political risk)
- Cover and
compensation for loss
incurred (economic
risk)
- Prior assessment of
customer solvency
- On-going customer
monitoring
-Debt collection
Debt
collection:
- Quick tax
deductibility
- Reduction of times,
costs and workload
11. | 11
observed phenomena | services
Purpose of
usage
(Ad es. La valutazione
dell’affidabilità di nuovi
clienti, la prevenzione dei
rischi finanziari ecc.)
Level of
knowledge
Tools for credit
management
Features of
suppliers
considered
relevant
(For example: quality of
service, experience and
so on)
Level of use
Quantification
of demand
(Size and scope of the
segment of demand,
including analysis of
companies using each
tool)
13. | 13
Tecniche di
indagine
Respondents, recruited by telephone, are invited to fill in the survey questionnaire prepared on an
encrypted site, with restricted access via password (CAWI system, Computer Assisted Web
Interview). Questionnaire provided by Format. The questionnaires are drawn up in the respondents‘
languages.
The personal data of the survey sample are extracted
using the most appropriate statistical techniques
(systematic step) from official and recognized statistical
sources. For the purposes of sample management two
lists of master data are created: a basic sample list (n =
sample size), and a reserve sample list (twice that of the
basic sample), which is used for any master data
replacements that may become necessary on the basic
list.
SAMPLE PROCESSING
CONTACT METHOD
National Institutes of Statistics for each country of reference.
SOURCE FOR THE DEFINITION OF THE UNIVERSE
methodology aspects | technical aspects of the survey
14. | 14
Tecniche di
indagine
Implementation of frequency distributions (absolute unweighted values, weighted percentages) of
all variables in the questionnaire crossed with the study domains of the sample. Results presented
with statistical tables, synthesis graphs, double entry tables, longitudinal analysis of trends and
conjuncture.
The questionnaire will be administered at each
statistical unit to the "reference person", i.e. the one who
due to the tasks carried out, classification or role, will
prove to be suitable more for the interview than others, in
this case, CFO, Credit Manager, Managing Director or
other individuals with similar roles.
REFERENCE PERSON
DATA PROCESSING
methodology aspects | technical aspects of the survey
15. | 15
methodology aspects | how to transfer results
macrodata
database
(double entry table)
research
report
The result of all the questions in the
questionnaire will be crossed with the study
areas of the sample: size of business,
geographic area, sector of economic activity.
Format: SPSS, Ms Excel.
Study results illusted through graphs and
summary with ample comments.
Format: Ms PowerPoint
Credit Risk
17. | 17
terms and conditions | purchase conditions
All rights for research are reserved.
Sale of research results is explicitly prohibited
ICC/ESOMAR Code on Market and Social Research.
Code of Conduct for the Association of Italian Market Research Institutes
ASSIRM.
Italian Law on Privacy D.lgs 196/03.
rights
code of Conduct
