Salary Survey 2015 per news/2014-2015... · 2. The categorization of the different job profiles is...
Transcript of Salary Survey 2015 per news/2014-2015... · 2. The categorization of the different job profiles is...
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Roberto Dona’ ([email protected])
Introduction
• This survey has been promoted by the Suzhou Working Group (SWG) of the China Italy Chamber of Commerce (CICC) with the patronage of the CICC itself
• Roberto Dona’ (International Business School Suzhou) has conducted the data analysis
• The long term goal of this survey is to have a permanent observatory to support the decision making process of the Italian companies
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Roberto Dona’ ([email protected])
Goals and Limitations
• The goals of the survey are several and among the others the most important are:
A. Analyze the cost of the labour, the HR related policies and their impact on the business of the Italian companies in China
B. Provide to the managers of the Italian companies a benchmarking tools to make effective decisions in term of HR
C. Identify the major HR trends and issues for the incoming months.
• The survey has three very clear limitations: 1. The structure of the questionnaire is designed for small/medium size
companies and to mainly collect data about the local workers.
2. The categorization of the different job profiles is too small to really understand the trends in the people management policies
3. The small number of respondents has not allowed a more sophisticated level of analysis
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Roberto Dona’ ([email protected])
Methodology
• A questionnaire designed around the professional roles of a medium size company and basically divided in two parts: Compensation and HR Management.
• No specific theory on HR Management but implicitly the model is based on functional areas of a very traditional value chain
• Categorization of the professional roles which mix together seniority and job description.
• The questionnaire has been delivered and collected by the CICC which also provided the consolidation of all data in a unified, anonymized data set.
• The data set has been analyzed in an anonymous form to avoid the distribution to third party of sensitive data.
• The data analysis used very simple mathematical functions because of the purpose of the research which is to provide a tool for making decision and not a sophisticated analysis of past events and transactions.
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Roberto Dona’ ([email protected])
The Annex Documents
1. The questionnaire
2. The analysis of compensation
3. The analysis of the HR policies
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Roberto Dona’ ([email protected])
The Sample
Total Number of Respondents 24
Geographical Distribution
Huzhou 1
Jiangsu 1
Jinshan 1
Shanghai Pu Dong 1
Suzhou Changshu 2
Suzhou SIP 11
Suzhou SND 4
Suzhou Wujiang 1
Suzhou Wuzhong 2
Legal Structure
Holding 2
WOFE 22
Total Number of Empolyees 2,774
Average 116
Min 24
Max 394
Primary Industry # of Companies Employees
Automotive 2 160
Machinery/Industrial Equipment 12 1385
Medical supplies 3 522
Chemicals 1 100
Plastic/Metal Products 4 445
Other 2 162
Business Purpose
Respondents 20
Production 14
Sales/Marketing 13
Trading 7
Sourcing/Procurement 10
Services 8
Production related engineering 11
R&D 4
Other 4
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Roberto Dona’ ([email protected])
The Overall Results
Area Junior Operator Change Operator Change Senior Operator Change
Production Blue Collar 3,891 7% 4,735 10% 5,382 7%
Driver 4,545 4%
Area Junior Change Specialist Change Manager Change
Operations 6,218 8% 9,150 7% 20,722 6%
Admin 3,769 8% 6,167 7% 13,443 7%
Sales 6,028 6% 9,913 7% 27,144 6%
Purchasing 5,350 10% 7,269 7% 22,978 7%
Finance 4,646 8% 7,235 6% 22,196 9%
HR 3,630 7% 7,602 8% 19,060 9%
Engineering 5,572 8% 9,954 8% 19,584 6%
Logistics 4,620 12% 6,662 7% 16,959 4%
Project Management 4,719 8% 9,826 13% 16,270 8%
IT 6,395 9% 15,386 9%
Legal 10,000 6% 21,500 5%
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Roberto Dona’ ([email protected])
The Overall Results - Production
Junior Operator Operator Senior Operator Shift leader Productionsupervisor
Productionmanager / Plant
manager
Series1 3,891 4,735 5,382 6,218 9,150 20,722
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5,000
10,000
15,000
20,000
25,000
Mo
ntl
y Sa
lary
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Roberto Dona’ ([email protected])
The Overall Results – White Collars
Admin Sales Purchasing Finance HR Engineering LogisticsProject
Management
IT Legal
Staff 3,769 6,028 5,350 4,646 3,630 5,572 4,620 4,719
Specialist 6,167 9,913 7,269 7,235 7,602 9,954 6,662 9,826 6,395 10,000
Manager 13,443 27,144 22,978 22,196 19,060 19,584 16,959 16,270 15,386 21,500
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5,000
10,000
15,000
20,000
25,000
30,000
Mo
nth
ly S
alar
y
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Roberto Dona’ ([email protected])
The Overall Results – The Gaps
Area Specialist vs Junior Change Manager vs Specialist Change
Operations 2,931 47% 11,572 126%
Admin 2,398 64% 7,276 118%
Sales 3,885 64% 17,231 174%
Purchasing 1,919 36% 15,709 216%
Finance 2,589 56% 14,961 207%
HR 3,972 109% 11,458 151%
Engineering 4,382 79% 9,630 97%
Logistics 2,042 44% 10,297 155%
Project Management 5,107 108% 6,444 66%
IT 8,991 141%
Legal 11,500 115%
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Roberto Dona’ ([email protected])
The Overall Results – Link to Schools
Bachelor Level Change Graduate or Master level Change
University 4,806 4% 10,286 3%
Foreigner Change Chinese Change
Intern 4,600 3% 1,680 2%
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Roberto Dona’ ([email protected])
Type of Allowances Paid 12
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Blue Collar - JuniorBlue Collar - Midlle
LevelBlue Collar - Senior
White Collar -Junior
White Collar -Middle Level
White Collar -Senior
New Year 71% 71% 71% 71% 71% 71%
Mid Autumn 96% 96% 96% 96% 96% 96%
Phone 0% 21% 42% 29% 21% 88%
Meal 79% 83% 83% 83% 83% 79%
Living 17% 13% 21% 13% 13% 21%
Skill 46% 42% 38% 8% 42% 13%
Attendance 63% 54% 50% 21% 54% 17%
0%
20%
40%
60%
80%
100%
120%
% o
f ye
s
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Roberto Dona’ ([email protected])
Compared Evaluation 13
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8%
62%
13%
17%
Blue collar workers
high average low Not Answered
8%
54%
21%
17%
White collar workers
high average low Not Answered
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Roberto Dona’ ([email protected])
Productivity 14
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1.00
1.17
18%
Evaluation of productivity increase
What about the future?
% of labour cost on total costs
1.05
1.10
1.15
1.20
1.25
1.30
1.35
1.40
1.45
Improved retention Better internal training Improved generaleducation
Overall better jobexperience
Improved internalprocesses
Increased automation
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Roberto Dona’ ([email protected])
Influencing Factors on Negotiation 15
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Individualnegotiations
Official trade union Work councilCollectivebargaining
Labour bureauDepartment wide
negotiations
Series1 1.30 1.07 1.06 1.04 1.06 1.12
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
Dri
ver
of
Ne
goti
atio
n
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Roberto Dona’ ([email protected])
Influencing Factors on Adjustments 16
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Inflationadjustme
nt
Individualperforma
nce
Companyperforma
nce
Seniorityof staff
Retentionof staff
Meetingexpectations of staff
Competition withother
companies
OtherGovernment policies
Minimumwage
adjustments
Government wage
guidelines
CICC wagereport
Otherwage
reports
Series1 1.22 1.42 1.37 1.20 1.23 1.18 1.18 1.18 1.20 1.12 1.17 1.10
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
Dri
ver
of
Ad
just
me
nts
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Roberto Dona’ ([email protected])
Work Council and Union 17
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78%
4%
9%
9%
Work Council
No
Not yet, but demanded byworkers
Yes, after being pressured
Yes
No 67%
Not yet, but demanded by
workers 0%
Yes, after being pressured
9%
Yes 24%
Union
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Roberto Dona’ ([email protected])
Type of Contract for Foreigners 18
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62%
48%
5%
0%
10%
20%
30%
40%
50%
60%
70%
Local Expat Project
GM/Senior Management
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Roberto Dona’ ([email protected])
Recruiting 19
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0
10
20
30
40
50
60
Online job portals Company website Universities Head-hunters HR service providers
Usage
Effectiveness
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Roberto Dona’ ([email protected])
Training 20
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0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
1.60
Trainingprovided bysenior local
staff
Trainingprovided bystaff from
headquarter inChina
Trainingprovided bystaff from
headquarter atthe mothercompany
Trainingprovided by
serviceprovider
Trainingoffered by the
Italian Chamber
In-housevocational
training centre/ program
Cooperationwith vocationaltraining school
Cooperationwith CICCvocational
trainingprogram
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Roberto Dona’ ([email protected])
Impact on Operations 21
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Unionorganisation
Collectivebargaining
Strikes and/orunrest
Minimumwage
adjustments
Dealing withlabour bureau
Socialinsurance
and/orhousing fundfor Chinese
staff
Chinese socialinsurance forforeign staff
Labourarbitration
cases
Tighter rulesfor foreigners'work permits /
residencepermits
Series1 0.95 0.98 0.98 1.14 1.06 1.14 1.02 0.99 1.08
0.00
0.20
0.40
0.60
0.80
1.00
1.20
Imp
act
on
Op
era
tio
ns
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Roberto Dona’ ([email protected])
Future HR Issues 22
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High staffturnover
Retainingqualified staff
Recruitment ofqualified staff
Rising labourcosts
High costs fortraining
Limitedcorporateidentity
Rising wage gapin company
Series1 0.99 1.10 1.16 1.14 0.99 0.91 0.98
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
Futu
re H
R Is
sue
s