innovation in the service sector – selected facts and some policy conclusions by georg licht,...
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Innovation in the Service Sector –Selected Facts and Some Policy Conclusions
by
Georg Licht, Günther Ebling, Norbert Janz and Hildrun Niggemann
Zentrum für Europäische Wirtschaftsforschung (ZEW)
Center for European Economic Research
Mannheim
December 1999
Prepared as part of the project “Innovation Policy in a Knowledge-Based Economy”commissioned by the European Commission
* This paper summarizes previous work based on the German Innovation Surveys in Servicescalled Mannheim Innovation Panel in Services which is conducted on behalf of the GermanMinistry of Education and Research by the Center for European Economic Research at Mann-heim, Germany. For more information please contact the first author.
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Preface
Data on innovation in services are quite rare. In 1998, EUROSTAT has initiated a large effort
to generate data on innovation in services by expanding the community innovation survey to a
wide range of market services. However, data resulting from this endeavor are not yet avail-
able for most European countries. They significantly increase the knowledge about innovative
activity in services and allow to draw some policy conclusions. As data of CIS II are not yet
available at the micro-level I decided to use the German Innovation Survey in Services to il-
lustrate some conclusions based on innovation survey data of service industries.
Although some of the conclusions concerning policy are based on the German situation, I
believe that most of them are also valid for other European countries. The main argument in
favor of this assumption is that the driving forces of innovation in services (diffusion of ICT
technology, deregulation, and increasing tradability of services) are the same in Germany and
other European countries.
The service sector as a whole is a rather heterogeneous conglomerate of industries. It is there-
fore often difficult to make generalizing statements or to come to clear conclusions. We will
concentrate on service industries which are particularly determined by market forces in most
European countries. We will not consider innovation e.g. in the health sector or in public
services, which are certainly very important arenas for innovation and also have a strong im-
pact on innovation in other sectors of the economy (e.g. medical equipment, pharmaceuticals).
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Table of Contents
1 BACKGROUND......................................................................................................................................4
2 DATA SOURCE AND MEASUREMENT ISSUES................................................................................6
3 INTERNATIONAL COMPETITION AND SERVICES .......................................................................9
4 ON THE NATURE OF INNOVATIVE ACTIVITY IN SERVICES ...................................................11
4.1 SHARE OF INNOVATIVE FIRMS AND THE STRUCTURE OF INNOVATION EXPENDITURE ...........................114.2 SOURCES OF KNOWLEDGE.................................................................................................................17
5 INNOVATION AND INFORMATION TECHNOLOGY IN SERVICES...........................................20
6 THE IMPACTS OF INNOVATION ON THE DEMAND FOR SKILLS IN SERVICES...................25
6.1 INNOVATION, IT AND GROWTH.........................................................................................................256.2 CHANGES IN THE SKILL STRUCTURE AND THE ROLE OF INNOVATION AND IT ......................................27
7 OBSTACLES TO INNOVATION IN THE SERVICE SECTOR........................................................34
8 SOME CONSEQUENCES FOR INNOVATION POLICY .................................................................36
REFERENCES..............................................................................................................................................42
APPENDIX 1: INDUSTRIES CONTAINED IN THE GERMAN INNOVATION SURVEY INSERVICES ACCORDING TO NACE, REV. 1, 1993 ..................................................................................44
APPENDIX 2: INNOVATION AND FIRM GROWTH IN NETHERLANDS 1994-96 DATA BASEDON THE DUTCH INNOVATION SURVEY ...............................................................................................45
APPENDIX 3: IMPACTS OF INNOVATION ON THE SKILL STRUCTURE EVIDENCE FORITALIAN SERVICE INDUSTRIES 1993-95 ...............................................................................................46
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1 Background
In the last decade most industrialized countries have experienced a sustained growth of value
added and employment in the service sector. Employment growth in the service sector was a
major engine for the creation of additional jobs. This generation of jobs in services has helped
to outweigh the decrease in the number of jobs in manufacturing. Given the high level of un-
employment in today’s Europe, it is of great concern to policy makers to stimulate the devel-
opment of the service sector. International comparison reveals that the employment share of
the service sector in some European countries (most notably in Germany) is significantly
lower than the proportion of jobs it currently provides in e.g. the USA or Canada.1 The ongo-
ing transformation into a service society becomes all the clearer when we additionally exam-
ine the changes in the activity structures of the manufacturing sector, where we have been
observing an accelerating shift away from traditional production operations and towards more
service-oriented activities for years now.
Moreover, there is also some concern on how these changes in the structure of our economies
will effect productivity and hence the ability to sustain high wages and a high living standard.
As shown by recent research, long-run productivity growth seems to be slower in most serv-
ices than in manufacturing (see e.g. van Ark, Monnikhof and Mulder 1999, O’Mahony 1999).
On one hand this can partly be attributed to measurement errors, but this is certainly not the
whole story.2 However, productivity growth in services has increased in recent years, which
1 However, the international comparison of employment shares is sometimes misleading when
hours of work are not taken into account or some employee groups are systematically not in-cluded in the comparison. This is relevant e.g. with regard to the so called 630-DM-jobs inGermany (see DIW 1998 for more details and some alternative calculations of a German UScomparisons).
2 See for details on the measurement problem a recent special issue of the Canadian Journal ofEconomics (1999, Vol. 32 April).
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can at least partly be attributed to the increasing importance of product and process innovation
in services. The diffusion of information and telecommunication technologies, and the de-
regulation in services have been the driving forces behind this development. Increasing inno-
vative activities in services, as well as the increasing importance of service innovation for the
economy as a whole, will certainly affect the employment prospects of this sector. Whether
the expansion of services will continue to function as the job engine it was in the past, is a
question which cannot be answered yet. Especially the service sector’s increased use of tech-
nology will probably change its skill structure in the same way as it did in manufacturing.
The expansion of services will thus probably not help to overcome the pressing structural
problem of unemployment which manifests itself in much larger unemployment rates for low
skilled workers relative to skilled workers in nearly all OECD economies (see e.g. Legler et al
1999).
This paper addresses selected aspects of innovation in services. First, we introduce the inno-
vation survey as a data source to assess innovation activity in services and discuss some as-
pects which limit our ability to measure technological change in services. Chapter 3 argues
that deregulation and globalisation is an important driving force for innovation in services.
Investment in ICT is a consequence, but also the source of, increased international competi-
tion in the service market. Chapter 4 looks at some characteristics of innovation activity in
services. We shortly discuss the role of R&D, human capital and social capital. Chapter 5 is
devoted to information and telecommunication technology. We show that ICT is the most
important new technology for service sector innovation. Again, we highlight the complemen-
tarity of investments in ICT and investments in human capital. The growing interest in serv-
ices is mainly due to the expectation that the expansion of services will be crucial to solve
Europe’s unemployment problem. However, as we will show in Chapter 6, the rise of the
knowledge-based service society will shift employment demand towards higher skill levels.
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Moreover, a lack of IT workers is expected to occur. Chapter 7 shortly mentions some obsta-
cles to innovation in services. Chapter 8 finally discusses some policy options to foster the
rise of the knowledge-based service society.
2 Data Source and Measurement Issues
The data we present is based on the German Innovation Survey in Service (first and the sec-
ond wave of the Mannheim Innovation Panel for the Service Sector (MIP-S)). The second
wave is based on the second edition of the OSLO manual, which explicitly considers service
sector innovations (OECD 1997). The first wave took place in 1995-1996. The second wave,
which also represents the German part of the community innovation surveys (CIS) coordi-
nated by EUROSTAT, was conducted in 1998. Innovation in services was more or less de-
fined similar to innovation in manufacturing; i.e. as the introduction of significantly new
products and services or the implementation of significantly improved processes. Some im-
portant measurement issues, however, remain yet to be solved. These issues comprise the
measurement of the output of innovations as well as the measurement of some innovation
inputs. Expenditure on research and (experimental) development as well as the number of
R&D employees are the traditional measures for innovative effort. A vast number of studies
on an economy-wide level or the level of single industries show that R&D expenditure corre-
lates with innovation output, e.g. productivity growth. Some problems in services arise from
the definition and interpretation of research and development (R&D). The traditional concept
of R&D relates to technological innovations in the manufacturing sector. In the service sector
the partly immaterial character of services or the interactive nature of innovation in business
services requires a modification of the traditional treatment of R&D in firm surveys. We
found that the interpretation of R&D by service sector firms is - at least in some cases - not
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compatible with the traditional definition of R&D in official R&D statistics. Nevertheless,
involvement of a firm in R&D activities (as stated by the firms) can be used as an indicator
that a firm devotes significant resources to product development and design purposes.
Measurement problems of the innovative output in services are also related to the interactive
nature of many service innovations. Furthermore, productivity measurement problems in
services arise due to the use of new technologies because, unlike in manufacturing, innovation
in services is often neither represented by new services nor by process improvements which
increase output or decrease input requirements. Innovation in service is often more closely
connected to the way products are delivered. Technological change is, for example, associated
with the number of hours during which a service can be delivered or with improvements in
the spatial dimension of the services (e.g. home banking). The quality of a service (e.g. user-
friendliness) is another component of innovation which is usually not correctly reflected in the
measurable output (see Licht and Moch 1999 or Baldwin et al.1998 for an approach to meas-
ure service outputs in qualitative terms). The multidimensionality of service sector innovation
output partly explains the existing problems in tracking the productivity growth of services.
One should be cautious about to judging the productivity growth figures in the service indus-
try which are relatively low compared to manufacturing, should be judged cautiously. Im-
provements in service production and qualitative improvements of service products have an
impact on the services and the whole economy. These improvements are one driving force for
structural change generating incomes and probably additional jobs, although the full effects
are probably not reflected in the measured product of services, but in the product of the cus-
tomers of service firms.
Another conclusion can be derived from relating innovation output and potential inputs to
innovation processes of service sector firms. To do this, we shortly highlight the results pre-
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sented in Licht and Moch (1999) who view IT-investment, R&D, human capital and physical
investment as main input-factors for innovation in services. To sum up, Licht and Moch found
that IT-investment has significant effects on the flexibility to adjust products to customer
needs, on the user-friendliness of the products, the temporal availability of services, and de-
livery periods, but only a weak impact on a firm’s per-employee productivity. Thus, we con-
clude that the effects of IT-investment on innovation in services are reflected mainly in prod-
uct quality improvement. Direct productivity impact or quality improvement of the production
process for services seem to be less affected by IT. Non-IT physical investment (total invest-
ment minus IT-investment) is especially important when the flexibility in adjusting products
to specific customer needs, fulfilling legal standards and regulation, and the productivity of
customers are viewed as innovation output of services. Finally, R&D efforts seem to be rele-
vant to enhance the productivity of the firms at hand as well as the productivity of their cus-
tomers. R&D is also associated with components like reliability of the service and the ability
to fulfill various regulatory requirements. Similarly, firm’s expenditures on human capital
enhance productivity and the quality of services. Human capital investment and client-related
continuous learning turned out to be even more important in services than in manufacturing.
Hence, an innovation survey in services should try to measure human capital input, which can
be thought of as playing as crucial a role for service innovations as R&D does for manufac-
turing innovations.
What we should keep in mind is that neither traditional output measures for innovative per-
formance like patents or the share of high-tech exports, nor traditional productivity measures
are useable indicators to evaluate innovation activities in service. We therefore base our ob-
servation on innovation in service mainly on innovation survey data.
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3 International Competition and Services
The increasing importance of service industries as providers of jobs in all national economies
has not yet resulted in a corresponding openness of the national markets.3 Although interna-
tional trade in services is increasing, the expansion of world trade in the nineties is primarily
due to manufacturing products. There is some evidence that the single market program and
the EURO have stimulated international exchange of services. However, only a minority of
service firms is active in international markets. Figure 1 shows the share of exporting firms
(with more than 5
employees) in some
selected service in-
dustries in Germany
and gives a bench-
mark figure for the
manufacturing sec-
tor. I expect similar
results for the rest of
Europe for Software
and EDP services as
well as technical
services.
Looking at the characteristics of exporting vs. non-exporting firms we find that past product
and process innovation are more common to exporting than to non-exporting firms. Further-
3 We have to admit that internationalization of the markets for services in some industries take the
form of FDI and not exports (e.g. FDI of insurance companies, the banking sector; even in the
Figure 1: Share of Exporting Firms in Selected ServiceIndustries in Germany in 1997
0 20 40 60 80
OtherBusiness S..
Technical
Services
Software
Insurance
Transpo
Retail trade
Wholesalestrade
Share in %
Average Manufacturing
Average Services
Source: ZEW (1998): Mannheim Innovation Panel − Service SectorComment: Banking Sector not considered
- 10 -
more, the export probability increases with a firm’s human capital and decreases with its labor
costs. Thus, innovation is also a driving force for international competitiveness in services
(see Janz and Ebling 1999). Furthermore, one can expect that internationalization (tradability)
will increase in the future. This is especially true in those industries where ICT investment
dominates innovation activities. In addition, import competition is also expected to grow. And
– at least in Germany – there is a trade deficit in most of the service industries. An increasing
number of firms will be hit by international competition which will lead to a decrease in
prices and will be a major threat to existing suppliers in those markets. Even firms which ex-
pect to increase their export they fear that the additional competitive threats from import will
out-weight this.
German service companies
have fallen behind the in-
ternational activities of
their foreign competitors,
notably in those service
industries where deregula-
tion sets in later than in
other European countries.4
In any case, the share of
firms which face interna-
tional competition is larger
localized markets of certified accountant there is a considerable market share of US or UKbased international accounting groups (e.g. Ernest & Young; Arthur Anderson)
4 However, the larger size of the German markets makes exporting to German a more interestingoption for foreign firms than the other way round.
Figure 2: Export Activities 1996 and Medium-Term Ex-pectations
0 10 20 30 40 50 60 70
Other BusinessServices
Technical Services
Computer Services
Insurances
Transport
Retail trade
Wholesale trade
Overall average export
international competition
international competition
international competition
international competition
international competition
international competition
international competition
international competition
export
export
export
export
export
export
export
share of firms in %
Source: ZEW (1998): Mannheim Innovation Panel −Service Sector
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in every industry than the share of exporting firms (see Figure 2). And – based on the ex-
pected development of the market – this gap will not disappear in the near future.
Deregulation in services should therefore be stimulated instead of being slowed down. The
sooner European service providers are subject to international competition, the sooner re-
structuring, innovation and learning to use new technologies will start; which in turn will en-
able firms to defend their (home) market share and improve their ability to enter foreign mar-
kets.5 In addition, the various national systems to foster export activities of SMEs (most serv-
ice companies are SMEs) should be adjusted to the needs of service companies to enter the
SEM. The changes for sales and employment growth, created by the increasing liberalization
of the SEM and the liberalization with in WTO framework, are - in any case - not fully real-
ized yet.
4 On the Nature of Innovative Activity in Services
4.1 Share of Innovative Firms and the Structure of Innovation Expenditure
One can no longer blame the service sector for not being innovative. Deregulation in many
areas of the service sector and the rapid development and diffusion of IT technologies have
opened up the market for international competition. Manufacturing companies concentrate on
their core competencies and increasingly source out ancillary service activities. Taken to-
gether, these developments increase competition in services and open up additional opportu-
nities for companies to improve their market position by introducing new products and en-
hance their efficiency by introducing and reinventing their production processes. We should
5 Licht et al. (1997) demonstrate that expected future import competition spurs innovation.
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therefore expect to find the largest share of innovating companies6 in those sectors where the
changes of market condition undergo the most severe changes. As Figure 3 shows, this ex-
pectation is confirmed by CIS data for Germany.7
The largest share of innovating companies is found in the telecom sector which was deregu-
lated in Germany in the midst nineties. This opens up new market opportunities which can be
realized by the introduction of new products and puts pressure on the previous monopoly firm
to increase productivity. Following in the row are software and IT service firms. Given the
rapid technological development, e.g. the introduction of intranet and internet, this does not
6 Innovating companies are defined – according to the OSLO manual – as companies which in-
troduce new or significantly improved products and implement significantly new productionprocess within a three years period (1994-1996).
7 Similar results are present by Klomp and van Leeuven (1999) or Evangelista (1999b). CIS-IIdata for other European countries confirm these interpretation although some notable differ-ences between EU members are present.
Figure 3: Share of Innovating Companies in the Selected German Service Sectorsin 1996
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Share of Innovating Companies
Manufacturing
Modern Services
Traditional Services
Telecom
Software / IT-Serv.
Financial Services
Engineering S.
Other Business S.
Retail Trade
Wholesale Trade
Transport S.
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector
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come as a surprise either. However, somewhat surprising is that engineering and technologi-
cal business services come next. Given the slacking demand in manufacturing and in the con-
struction sector in the time period covered by our survey, there is a large pressure to increase
the efficiency by process innovation in order to cope with falling prices in that period. As in-
dicated by Table 1, the introduction of IT technology plays a central role in this sector. To-
gether with the ‘other business services’ which consist of a rather heterogeneous set of firms
this sector can be comprised using label ‘modern service sector’. In average, the share of in-
novating firms in this group of industries is quite similar to the average share of innovating
companies in the German manufacturing and mining sector8. Even this simple comparison
shows that innovation is no longer the domain of manufacturing. New technologies change
services in ways increasingly similar to those in manufacturing in the past.
Despite the comparable percentage of innovative companies in both the manufacturing and
the service sector, there are considerable differences in the structures of the innovation corpo-
rate activities between these two sectors. In the service sector process innovations play a less
important role. More than half of the companies refer to themselves as product innovators and
only 35% as process innovators. Process innovations are usually accompanied by product
innovations or are a direct result of them. At the same time one can observe that the distinc-
tion between product and process innovations is often blurred especially in the service sector,
which makes it sometime difficult to differentiate.9 Case study work suggests that merely
looking at a firm’s self-assessment on product vs. process innovation underestimates the im-
portance of process innovation. Most of the change, e.g. in banking, is due to an increased use
of ICT which clear changes the process of banking services and not the banking products.
8 Data for these aggregates refer to the year 1997. For details see Janz et al. 1999a and 1999b.
9 Despite of this problems the distinction of product and process innovation in innovation surveysseems to be a useful concept (see for more details Evangelista and Sirilli 1995).
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Looking at the most important innovation we can conclude that product innovation in service
often can be characterized as incremental product innovations or can be classified in a variety
of cases as process innovations. Licht et al. 1997 show that when taking the most important
innovation to distinguish between product and process innovation more firm perform process
than product innovation.
In addition, in-house development of new products is more common in services than in manu-
facturing. This also is in line with the interpretation the product innovation in services are
mainly incremental in nature. This points towards differences in the nature of innovations and
their development process in services and manufacturing. This is confirmed by looking at the
importance of R&D for innovation in services or the structure of investment in innovation.
Innovation expenditure in the service sector differs considerably, both in structure and size
from that in the manufacturing industry. In the manufacturing industry, the share of innova-
tion expenditure as a fraction of turnover constitutes about 5%; in the service sector it is only
about 1%. In most service industries, research and development has a comparably small im-
portance. It must be noted, however, that the service sector is highly heterogeneous. In terms
of structure of innovation expenditure (as well as other dimensions of the innovation process)
Figure 4: Structure of Innovation Expenditure in German Services 1997
software, patents
16%
maschinery andequipment
26%
training
18%
market introduction
10%
conception12%
extramuralR&D 6%
intramural R&D11%
Source: ZEW (1998): Mannheim Innovation Panel − Service Sector
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one companies from technical and IT industries are similar to technology-intensive firms in
manufacturing. Following the German CIS II survey, about 65% of the innovative IT service
providers and about 45% of the innovative technical service providers carry out R&D, com-
pared to only 14% in the entire service sector and slightly less than two thirds in the manu-
facturing industry.
Participation in R&D activities and even more so R&D intensity is relatively low in the serv-
ice sector, where human capital usually replaces R&D as main input factor for the develop-
ment and implementation of product and process innovations. Therefore, staff qualifications
are of significantly higher importance in the service sector than they are in the manufacturing
industry. Often, it is employee experience and expertise that constitutes the know-how of
service providers and that can therefore not always be captured. Traditional mechanisms for
the protection of intellectual property play a less significant role. In addition, product innova-
tions are easy to copy because of their often marginal nature and a limited scope of intellec-
tual property rights (e.g. think of a new concept of a type of insurance).
Investment in capital goods closely related to innovation activities amount to around one
quarter of the total innovation expenditure, most of which is related to ICT. The service sector
is the largest customer of ICT industries and often plays the role of the lead user of new ICT
technologies which strongly influences the development of technology. Especially companies
in knowledge-intensive services and business-related services stimulate technological change
to an extent which vastly exceeds the pure usage of technological activities in some other,
more traditional manufacturing or service branches such as transport or trade.
So, in most service industries innovation is stimulated by the use of knowledge embodied in
capital goods, the use of a high-qualified staff and a low degree of formalized knowledge
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generation. Investments in information and communication technologies often goes hand in
hand with new product and especially with process improvements.
In traditional service sector this seems to be in line with the idee of an inverse-innovation cy-
cle developed by Barras more than a decade ago when analyzing the impacts of investment in
computers on innovation in services.10 He argues that in the initial phase of market penetra-
tion ICT is used in the service sector for purposes of efficiency enhancement; it is not until a
later stage of diffusion that new products (services) based on ICT begin to develop and create
new market opportunities to satisfy new needs. This cycle differs between service sectors and
is also different from manufacturing where, traditionally, the first phase of the diffusion of a
new technology is characterized by a dominance of product innovation. In the second stage
the rate of product innovation decrease whereas the rate of process innovation increase. Fi-
nally, more process innovation dominate product innovation in the third stage.
Product innovations based on network technologies like IT are increasingly attractive the
large the installed base. So, product innovation in IT-based service are retarded and process
innovation in more attractive in the first phase of the diffusion of IT technologies. Process
innovation, however, are accompanied by large investment expenditure whereas product in-
novation more often based on formalized internal knowledge. The observation made using the
innovation survey are – especially for the more traditional service sectors – give rise to the
suspicion that an inverse innovation cycle is present.
As a consequence, technologically induced structural change is probably less frictionless in
services than in manufacturing - since process innovation probably destroys jobs first before
product innovation in a different sector will create additional jobs. However, large productiv-
- 17 -
ity increases which is a consequence of the process innovation are hardly observed in most
service industries although large IT investments are made in the last decades.
The simultaneous occurrence of large IT investments and low productivity increases is often
refer to as the productivity paradox. Landauer (1997) presents a large variety of facts and in-
sights on the low productivity impact of IT based process innovations. But more recent evi-
dence is more optimistic about the productivity enhancing impact of IT investments (see Licht
and Moch 1999 for references) which is stronger today than in the past because the installed
base is larger and sufficient complementary investment in human capital and organizational
innovations are now available. This complementary assets are necessary to profit from a gen-
eral purpose technology like IT.
Productivity impacts, therefore, are retarded but will become increasingly important now. The
huge expected change in traditional retail banking partly explained by retarded productivity
impact and by a substitution impact of product innovation in banking which induce a change
in the structure of employment in banking (see section 6). So, also it can be supposed that an
inverse innovation cycle is present its consequences are not clear-cut because process inno-
vation in network industries need considerable time before the potential is exhausted.
4.2 Sources of Knowledge
In developing new products and introducing new processes, service providers relay heavily on
their own knowledge base. In most cases, this knowledge exists as experience of the em-
ployee and firm owner. Innovation is, therefore, based largely on tacit knowledge which is
10 Remember at this time centralized computing using mainframes was the dominating form of IT
investment.
- 18 -
stored in the head of the employees, in business and management routines and which is
transmitted informally in face-to-face contacts. The knowledge of the staff is the most impor-
tant prerequisite for innovations in the service sector and also indispensable for the use of
external sources of information which are required for developing innovations.
The fact that know-
how in the service
sector is strongly
linked to individu-
als, and that the pro-
cess generating
product and process
innovations is less
systematic, e.g. in
the form of R&D
activities, both point
to a general problem
for innovation ac-
tivities in the service
sector: Innovation processes strongly depend on situations and are less systematic. Govern-
mental incentives for promoting systematic R&D activities in service development („Service
Engineering“) could be highly beneficial stimulants in such a case.
Customers and competitors are the most frequently used external sources of knowledge,
whereby customers from the service sector are mentioned more often than customers from the
Figure 5: Sources of Information for Innovation in Services
0 5 10 15 20 25 30 35
Patents
Other Public Research
Universities
Consultants
Customers Manufacturing
Computer networks
Suppliers
Conference; Prof. Journals
Customers Services
Fairs, Exhibitions
Competitors
Share o firms in %
Source: ZEW (1998): Mannheim Innovation Panel − Service Sector
- 19 -
manufacturing industry. This points to a closer linkage of knowledge within the service sector
than between the service and the manufacturing sector.
Just as for manufacturing companies, national and international trade fairs and exhibitions
create the possibility for German service providers to have central contact exchanges where
they meet their international customers. Promoting participation in trade fairs and exhibitions
therefore represents a further starting point for economic politics.
Another essential difference between the manufacturing and service sectors lies in the varying
importance of know-how of companies from the same industry compared to the know-how of
their suppliers. Analyses lead to the assumption that this can also be attributed to the insuffi-
cient protection mechanisms for the intellectual property of services. The negative impact on
the inclination to innovate and on the type of innovation performed is obvious. It is well-
known that service innovation are hardly protected by patents, design or trademarks. Imitation
of successful service innovation are easy which lower the profitability of investments in inno-
vations. As already discussed above tacit knowledge stored in the brains of employees are the
most important form of knowledge used for innovation in services. Therefore, keeping key
employees with the firm is, therefore, crucial for protecting the competitive edge. In addition,
this strategy also is dangerous for two reasons. First, large proportions of knowledge are lost
if key employees leave the firm. This sometimes will lead to an under-investment in the
knowledge of employees when employers expect a large mobility of employees. Alternative
means for storing a firm’s knowledge is call for. However, internal knowledge management is
often not well developed. Secondly, absorption of new knowledge from external source is
may be hindered by the well-known “not-invented-here” phenomenon. This seems to be espe-
cially dangerous in area where technology is changing rapidly like in the case of IT. The –
reason for this negative impact on the absorptive capacity of a firm is probably rooted
employees’ fear that new knowledge question the internal hierarchy and present positions of
- 20 -
fear that new knowledge question the internal hierarchy and present positions of those key
employees.
The knowledge potential of universities, technical colleges and extra-curricular research in-
stitutions play a minor role. These institutions only occasionally offer practice-relevant serv-
ice-related know-how. Universities and research institutions have not yet sufficiently adapted
to the structural change and a knowledge-based service society, though they could well con-
tribute to the creation of innovation-relevant knowledge for the service sector.
5 Innovation and Information Technology in Services
Innovation in manufacturing and in services are often interrelated. The service sector aids
innovation in manufacturing by providing know-how. Service companies on the other hand
are major customers, and therefore important sources, of knowledge for manufacturing based
innovations. This is obvious from Table 1 that provides data on the share of companies which
invested in new physical goods, the share of companies which invested in information tech-
nologies, and the share of companies which provided further vocational education and train-
ing to their employees.
First of all, the overwhelming majority of companies in the surveyed service industries invests
in information technology. Of course, investment is more extensive in the modern service
sectors than in the traditional sector. However, the mere size of the traditional service sector
makes them important customers of information technology and as such strongly influences
the development of this technology. As it is well-known, financial services are one of the
largest users of IT. In addition, we also note that in the modern services investment in new
physical goods is closely related to investment in IT. The share of firms with investment in
- 21 -
new capital goods is more or less identical with the share of firms investing in IT in these
sectors.
Table 1: Innovation, Investment and Expenditure on Education
Share of Firms(1996)
InnovativeFirms
Firms buyingcapital goods
Firms with in-vestment in IT
Firms expenditureon CET and CVT
Wholesale Trade 54% 84% 79% 62%
Retail Trade 60% 92% 82% 73%
Transport 50% 88% 74% 51%
Telecom 100% 100% 100% 100%
Banking/Insurance 74% 91% 89% 90%
Software, IT services 83% 97% 97% 88%
Engineering Services 67% 100% 98% 81%
Other Business Services 61% 94% 88% 76%
CET = continuing vocational education; CVT = continuing vocational training
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector
However, IT is not only the most important investment good; it also plays a central role for
innovation in the service sector. Table 2 contains the share of innovating companies which
state that their innovations are based certain technologies.11 Having a look at this table, the
dominant role of information technologies for innovation in services becomes clear immedi-
ately. Even in the least IT-active sector – retail trade – 87% of the innovators believe that IT
was important for the innovations introduced. The importance of all other technologies varies
vastly from sector to sector. New facility management techniques are important for engineers
e.g. in developing new houses. Latest traffic technologies are – of course – crucial to the
transportation sector.
11 The list is more detailed than the technologies depicted in Table 2. In the case of information
technologies it considers the usage of mainframes, workstations, PCs, packaged standard soft-ware, data bases, high quality net works (e.g. ISDN) or multimedia technology. Environmentaltechnologies comprise e.g. recycling, energy saving techniques, pollution control measurement.
- 22 -
Table 2: Use of Different Technology for Services Sector Innovations 1996
As share of in-novating com-panies in 1996
IT Environ-mental
FacilityMan-
agement
Traffic Meas-urementand Con-
trol
LifeSci-
ences
Nutri-tion
Newmateri-
als
Others
Wholesale Trade 88% 45% 27% 49% 22% 6% 5% 21% 4%
Retail Trade 87% 51% 5% 25% 12% 4% 1% 10% 4%
Transport 94% 74% 14% 74% 3% 0% 0% 2% 0%
Telecom 100% 14% 14% 7% 14% 7% 0% 0% 7%
Banking/Insurance
95% 17% 10% 4% 3% 1% 0% 0% 3%
Software 97% 20% 4% 20% 13% 10% 3% 3% 9%
EngineeringServices
96% 44% 28% 16% 27% 9% 9% 24% 8%
Other BusinessServices
93% 42% 22% 23% 13% 2% 3% 10% 4%
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector
The dominating role of IT becomes even more obvious when you look at the share of compa-
nies which do only declare other technologies but not IT to be important for their innovations.
Again retail trade stands out somewhat. However, even in retail trade only 7% of innovating
companies innovate using non-IT technologies, another 6% of retailers innovate without
adopting new technologies at all. A 57% majority of retailers use IT and any other technol-
ogy. Similar observations for the other sectors can be made with the help of Table 3. In the
most IT prone sectors like the financial services, Software and Telecom, innovation without
the use of IT seems almost impossible.12
12 However, the observation that IT and other technologies often occur in the same firm at the
same time is not necessarily an indicator for technology fusion It can well be the case that twoseparate innovations are made, one of them using IT and the other using e.g. environmentaltechnologies.
- 23 -
Table 3: Multiple Technologies in Use for Innovation in Service Sector
As share of all innovating com-panies in a given sector
IT only Only OtherTechnologies
IT andother Tech.
No NewTechnologies
Wholesale Trade 13% 4% 75% 8%
Retail Trade 31% 7% 57% 6%
Transport 5% 4% 89% 2%
Telecom 86% 0% 14% 0%
Banking/Insurance 70% 0% 25% 5%
Software 43% 0% 54% 3%
Engineering Services 28% 2% 68% 2%
Other Business Services 43% 4% 49% 3%
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector
Service sector innovations and the adoption and use of new technologies in services takes
place, although R&D seems to play a much less significant role in services than in manufac-
turing. The German R&D statistics show that well under 10% of the business sector’s R&D is
spend by service sector firms. The question that arises is how service sector firms can main-
tain an equally large share of innovation companies. An obvious answer is that innovation in
service occurs mainly in the form of embodied technology stemming from manufacturing.
However, this is certainly not the whole story. More in-depth analyses show that the role of
human capital for the development of innovations is considerably more important in the serv-
ice sector. This can be highlighted by comparing the skill structure of innovating and non-
innovating companies.13
Table 4 shows the share of highly skilled, medium skilled and low skilled employees by sec-
tor. In all sectors the share of highly skilled employees in innovating firms is larger than in
13 The reverse causality – innovation influences the skill structure – is inferred in the next section
in more detail.
- 24 -
non-innovating companies. Moreover, in most sectors the share of the medium skilled is also
lower in non-innovating companies than in innovating ones.
Table 4: Skill Structure in Innovative and Non-innovative Firms
Non Innovative Firms Innovative Firms
Skill Level High Medium Low High Medium Low
Wholesale Trade 8% 65% 28% 12% 71% 17%
Retail Trade 5% 76% 19% 12% 72% 17%
Transport 3% 63% 36% 5% 58% 37%
Telecom n.a. n.a. n.a. 32% 67% 1%
Banking/Insurance 15% 75% 10% 18% 70% 13%
Software 32% 57% 11% 48% 49% 4%
Engineering Services 43% 46% 11% 47% 46% 8%
Other Business Services 13% 61% 26% 26% 54% 21%
High = University or Technical University Degree or Masters Degree; Medium = Vocational Training; Low =No formal education (except school)
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector
Table 4 also shows that the share of highly qualified employees is largest in those sectors
which are more innovative and make more intensive use of IT for innovations. This seems to
be even more valid for innovating companies, which again points to the crucial role a suffi-
cient human capital base plays for innovation in services.
In addition, the share of companies which spend money on further vocational education and
vocational training of their employee is considerably higher in the sector with a larger share of
innovating firms (see last column of Table 1). Firms’ investment in the expansion of its hu-
man capital base is more important, the more crucial IT technologies are for firms. Moreover,
further education and training is also important for firms who do not innovate, but invest in
IT. Thus, to fully realize the benefits from investment in IT seems only possible with com-
plementary investment in human capital.
- 25 -
The crucial role of human capital for the adoption of new information technologies in services
is also evident when you look at the share of expenditure on training in total innovation ex-
penditure. This share considerably exceeds the share of spending on training in manufacturing
and amounts to nearly the same share that R&D has in manufacturing.
However, money spent by firms on the enlargement of the knowledge of their employees is
not equally distributed across all employees. Employees with higher secondary and tertiary
education levels receive more intense training opportunity than lower qualified workers (see
Licht and Fier 1999). And this can be viewed as additional evidence for the fact that the
adoption of IT also needs an increase of the initial skills at the level of employees. In turn, as
will be shown in the next section, low qualified employees represent the group of employees
which, as a result of the introduction of information technology in services, suffers most in
their employment prospect.
6 The Impacts of Innovation on the Demand for Skills in Services
6.1 Innovation, IT and Growth
Before dealing with the question whether innovation and new technology enhance the skill
requirement of the service sector, we will shortly deal with the growth of the service sector in
Germany and the role that innovation activity plays in enhancing service sector growth and
growth prospects. Firms will only enlarge their staff when growth prospects are positive. So,
when innovation enhances growth, this will result in additional employment. It is well known
from various papers that more innovative firms show more favorable sales and employment
- 26 -
growth. This is not only true with regard to manufacturing but also to services (see e.g. Janz
1999a and 1999b).14
In relation to this growth effect the efficiency enhancing aspects of innovation on the level
and the skill structure of employment - once the growth effect is accounted for - will be often
of second order or will be only visible if the growth effect is eliminated. Therefore, a separate
treatment of both effects is useful to understand this impact of innovation and technology on
employment.
Overall, the service sector and especially the technology-intensive and human capital inten-
sive service sectors showed above average growth value added and employment growth rates
in the last decade in Germany. This is also present in the innovation surveys which show that
a majority of firms in services have increased their workforce and expect to proceed this way
in the future. So, the growth trend in services will prevail. However, when comparing the ex-
pansion of the German service sector to the growth of services in other countries, we recog-
nize that Germany faces a less rapid expansion in service as most other countries. The main
reason for this is the sluggish growth in the overall economy, which also restricts the growth
prospects in services.
Moreover, growth rates differ between East- and West-Germany and between firms of differ-
ent sizes. West-German services grow much faster than East-German services, and the fre-
quency of decreases falls with growing size. Additionally, there are considerable differences
between the various branches. Banks and insurance companies in both regions have a high
sales growth. In the west of Germany, transportation and telecommunications perform
roughly as well as banks and insurance companies. Wholesalers and other business services
14 Data given in Appendix 2 show that this claim is not only true for Germany but also for other
- 27 -
lead the mid-field, with retailing a long way behind. In the east of Germany, it is the software
firms and the other service providers who follow the banks in the assessment rankings.
Bringing up the rear in this part of the country are the wholesalers, and then, again a long way
behind, the retailers. Another interesting fact is that firms operating abroad (exporters, oper-
ating through partners or subsidiaries abroad) have a significantly better sales trend. This is
even more true for innovating companies. By contrast, companies which expect foreign com-
petitors on the domestic market and already encounter them, report poorer sales trends than
firms without any international competitors. As innovation enhances export probability, this is
another channel for innovation to enhance the growth of a company. Of particular interest is
the question whether the companies using the various technologies covered by the survey
stand out from the rest of the companies with regard to their growth.
The multivariate analysis can shown that, irrespective of the degree of internationalization,
the size of the company, the particular branch of the economy involved, and the past sales
trend, companies which have recently been using high-performance IT grow faster than their
counterparts without intensive IT-use. In wide areas of the service sector the use of IT tech-
nologies appears to be a prevalent precondition for a positive sales trend.
6.2 Changes in the Skill Structure and the Role of Innovation and IT
In order to demonstrate the impact of innovation and IT on the demand of skills we use the
expected change in the skill structure instead of the actual demand for skill. The main reason
for this is that a highly qualified workforce is a main requirement for innovation activities.
Therefore, to address the problem of reverse causality we look at the expected change when
linking employment demand to past innovation activities and technology use. Moreover, em-
ployment expectations can only be meaningfully interpreted against the background of the
countries by taking the Netherlands as an example.
- 28 -
existing staff qualification. Here we use a more refined qualification classification. We distin-
guish between college/university graduates with degrees in scientific/technical subjects, col-
lege/university graduates with degrees in economics, sociology or the humanities, profes-
sional school graduates (‘technicians’ and Germany’s ‘master degree’ based on the vocational
apprenticeship system), employees with a vocational qualification, and other employees.
An initial overview of general employment expectations in the various staff qualification
categories is provided in Figure 1.15 For Germany as a whole, it can be seen that, with the
exception of "other employees", all qualification categories exhibit an upward trend. In each
of the qualification categories, the majority of employees work for firms who wish to expand
the category concerned. In the numerically most important category of employees, those with
a vocational qualification (see the preceding section), the proportion of employees affected by
a downward-trend expectation is greater than in the higher qualification categories. Nonethe-
less, the proportion of those who work in companies with rising employment prospects is
considerably larger.16
By contrast, prospects are gloomy for the "other employees", for a considerable number of
workers who are employed in companies which intend to downsize their payrolls. Conversely,
only a quarter of "other employees" work for companies which anticipate an increase in hiring
in this qualification category.
15 This figure is constructed in the following way. First, we calculated the share of employees in
each skill group who work for companies which expect to expand their workforce in this skillgroup. Then we calculated the skill group-specific share of employees working for companieswhich plan to contract the workforce in this skill group. Finally we net out the employment ex-pectation in each skill group by subtracting the number of employees in contracting firms fromthe number of employees in expanding firms. The resulting number is a good proxy for the ex-pected growth rates as evidence from the business cycle research has proven. Therefore, thelarger this number is, the higher is the expected employment growth.
16 Appendix 3 show similar evidence for Italy using a similar methodology.
- 29 -
This indicates that it is very likely that a proportion of unqualified jobs has been lost in the
service sector surveyed. And these are precisely those employees that are already affected by
above-average unemployment; the hope that an expanding service industry may provide com-
pensation is frequently expressed indeed, but it is obvious that few stimuli can be expected
from the sector of more company-oriented service providers.
More in-depth analyses based on regression analyses can provide some additional insight re-
garding the impact of innovation and IT use. First of all, our calculation expects differing
trends in the various size classes in the east and west of Germany. The three higher qualifica-
tion categories tend to exhibit improved prospects with rising size class in the west, whereas
in the east of the country the picture is precisely the reverse for graduates with a scien-
tific/technical degree, for example. No general trend emerges for the professional school
graduate grouping. The prospects for employees with a vocational school qualification are
best in both parts of Germany in firms with a workforce of 20 - 49, whereas firms with 50 -
249 on the payroll expect a lower rise in the number of staff with a vocational school qualifi-
cation. The negative expectations in the west of the country for employees with the poorest
qualifications result from the employment plans in large companies.
When employment prospects are considered separately for each branch, this shows that posi-
tive prospects are confined solely to the software industry and other business services. Scien-
tists have equally good expectations in all branches of activity, except in retailing, transporta-
tion and telecommunications. The economists and professional school graduates have equally
good prospects in all branches, except for in financial and engineering services. Employees
with a vocational qualification exhibit lower netted-out figures, though these are still positive
except for in the fields of engineering services. For the "other employees" grouping, the an-
ticipated payroll changes are particularly extreme in banking and insurance, and in wholesal-
- 30 -
ing/retailing. Apart from that, there are positive net figures only for the software and IT serv-
ices industry and the business services, i.e. only in these fields can expanded employment for
unqualified staff be anticipated.
In a further step and besides the distinguishing features that have already been considered
(branch, region, and size class), additional influencing factors are examined on the individual
level, like sales expectations, activities abroad, foreign competition, innovation status, use of
new technologies, and staff qualifications structure. The aim here is to analyze whether com-
pany-specific characteristics can explain the increase in employees in the individual employee
categories involved.17 To do this we set up labor demand equations for each skill-group ex-
plaining the expected change in labor demand by sales expectations, relative factor prices as
well as innovation activities and technology use. The results can be summarized as follows:
• Sales expectations play a dominant role for employment increase in all qualification lev-
els. Firms which expect rising sales are more likely to hire staff from all qualification
categories than otherwise equivalent firms that do not expect their sales to rise in the fu-
ture.
• Firms which have introduced at least one innovation during the past three years more fre-
quently plan to hire qualified personnel. Larger companies intend to increase their propor-
tion of qualified personnel more considerably than medium-sized and small companies.
17 This is done using separate order probit regression models for each skill group. Kaiser (1998)
uses a more refined econometric method that considers the correlation between the error termsof these equations and leads to more efficient estimates. His results confirm the interpretationmade here.
- 31 -
Figure 6: Distribution of Netted-out Employment Expectations by Industry and SkillGroups
Software
Transport
Retail TradeWholesale Trade
Software
TransportRetail Trade
Wholesale Trade
Software
TransportRetail Trade
Wholesale Trade
Software
Financialconsultants
TransportRetail Trade
Wholesale Trade
Other business servicesTechnical consultants
Software
TransportRetail Trade
Wholesale Trade
Financial consultantsBanking, Insurance
-80 -60 -40 -20 0 20 40 60 80
Persons withapprenticeship
Others
Graduates of colleges
Banking, Insurance
Banking, Insurance
Banking, Insurance
Banking, Insurance
Financial consultants
Financial consultants
Financial consultants
Technical consultants
Technical consultants
Other business services
Other business services
Other business services
Other business services
Graduates in naturalscience
Graduates in economicsand humanities
Technical consultants
Technical consultants
Netted-out indicator of expected employment change
Source: ZEW (1998): Mannheim Innovation Panel – Service Sector (based on Licht et. al 1997);Explanations see text.
- 32 -
• The higher the proportion of already employed qualified personnel, the more likely be-
comes the additional hiring of college graduates. The higher the existing proportion of
qualified personnel, the less probable becomes the hiring of staff with vocational qualifi-
cation and poorly qualified applicants.
• The difference between east and west is not so much based on different corporate struc-
tures and behavior patterns, but more on differing compositions of the branches concerned
in terms of company size, innovation status and staff qualifications structure.
• The use of new technologies per se exerts no direct influence on employment trends. This
does, however, also mean that new technologies can be expected to produce only slight
productivity-related effects. On the contrary: these productivity effects can be imple-
mented only in conjunction with the use of qualified employees. Firms with a more quali-
fied staff are more likely to use IT technologies which in turn increase the relative demand
for skilled employees. The sales growth manifested in the use of new technologies, how-
ever, will "trickle through" to employment trends as well’.
The results indicate a considerable shift in the service sectors’ staff qualification structure.
The more highly qualified staff an enterprise possesses, the less likely it is to hire unqualified
applicants. It cannot, however, be concluded that firms with higher employment expectations
for highly qualified personnel do simultaneously have declining employment prospects for
unqualified applicants. However, we observe a negative correlation between the employment
expectations for highly and poorly qualified staff. It is nonetheless advisable to devote greater
attention to these trends. If they intensify, this will have far-reaching consequences for the
labor market.
- 33 -
This is even more true for the present trend which shows that many companies’ provision of
continuing training and continuing education to employees is univocally in favor of highly
qualified and already skilled employees. Additionally, the innovation process is less markedly
de-coupled from other corporate performance processes than in the manufacturing sector.
Attention should accordingly not be confined to training expenditures directly linked to inno-
vation projects. The high degree of interactivity in the process of the goods/service creation
means that qualification levels and training become closely related to innovative activity and
technological/organizational change in the service sector as such. However, innovating com-
panies invest significantly more in staff training than non-innovating companies. This is also
true for companies with a high proportion of highly qualified personnel that spend more per
capita on training schemes. This means that a high level of qualification is a precondition for
further training/up-skilling measures in the companies.
The use of new technologies as well as the proportion of ICT-related investments in the over-
all investment budget exert a markedly positive effect on the level of training expenditures.
Therefore, it seems dangerous when mainly the already-qualified staff profits from training
(due to technological change). This implies that the unqualified employees will be perma-
nently excluded from the labor market, and the employment chances for the poorly qualified,
slight enough as they are, will deteriorate even further as technological change progresses.
Reforms of the educational systems are called for, especially since a good primary education
is the ticket for further vocational education and training.
- 34 -
7 Obstacles to Innovation in the Service Sector
Increasing demand for qualified labor (especially with IT related skills) is more and more
limited by the supply. Something that can be observed in innovation surveys is that innovat-
ing firms using IT are often restricted by the availability of IT workers. Although the lack of
skilled workers is not the most important obstacle to innovation in the services as a whole, it
certainly limits the expansion of knowledge intensive services.
Besides the impeding lack of qualified labor, innovative service providers see themselves as
being confronted with a number of obstacles to innovations which they cannot always suc-
cessfully overcome in the first attempt. These hampering factors delay projects, lead to the
termination of promising projects, or prevent the start of innovation projects in the first place.
In this context economic, technological and educational policies could reduce the amount of
obstacles to innovation.
Due to a lack of appropriate funding, many profitable innovation projects are not realized at
all. Therefore, efforts to facilitate access to participatory capital for innovative service provid-
ers are required. Unfortunately, the dynamic development of the German participatory capital
market in 1997 and 1998 has not fully reached the service sector yet. Time will tell whether or
not this development will widen the range of potential financing sources for service innova-
tions.
- 35 -
Engineers and IT specialists often lack business-administrative training, particularly in project
management. Organizational problems are therefore a frequent reason for the prolongation of
innovation projects. This deficit can be remedied by integrating elements of project manage-
ment into engineering studies. This would not only benefit already existing companies, but
also improve the initial situation for start-ups.
Particularly technical service providers state that long administrative and authorization proce-
dures are obstacles to innovation. These observations result in a demand for economic and
technological policies to work towards further improvement of the ability and possibility of
firms to calculate time frames needed for administrative and legal procedures. Even if the
frequently demanded reduction in administrative and legal procedures can be realized only
gradually, at least their duration should be made predictable in order to prevent unplanned
delays in project duration. Parallel to this, the systematic information of companies on the
Figure 7: Factors Hampering Innovation in Service – Germany 1997
lack of information on markets
lack of information on technology
lack of costumer responsiveness
lack of qualified personnel
fulfilling regulations, standards
long administrativeprocedures
organisational rigidities
lack of appropriate sources of finance
excessive perceived economic risks
innovation activity was hampered by ...
3,1
4,2
10,1
10,8
11,2
11,4
13,1
16,8
17,6
0 2 4 6 8 10 12 14 16 18share of all firms in %
0 2 4 6 8 10 12 14 16 18
hampering factor led to ...serious delay...prevention of start... ... of at least one projectabolishment ...
Source: ZEW (1998): Mannheim Innovation Panel − Service SectorComment: Multiple statements regarding the obstacles and the kind of effect per hampering factor were possible.
- 36 -
functional breakdown of governmental regulation could contribute to a more realistic evalua-
tion of how long these regulation procedures will take, since this has to be taken into account
when planning project terms. All of this would help to increase the efficiency of corporate
innovation activities.
8 Some Consequences for Innovation Policy
The innovation-political options for the support of innovations by service providers should be
directed towards the above facts. On one hand, human capital is the key factor for innovation
activities in a knowledge-intensive society. On the other, information and communication
technologies for the service sector are cross-section technologies which are far more impor-
tant than any other modern technology. For both, companies and employees, not only the ini-
tial investment in training has to pay off, but also the continually required re-investment for
the adjustment of human capital. However, particularly small and medium-sized companies in
traditional service sectors such as transport and forwarding as well as trade, often lack the
potential to exploit the opportunities which are offered by new technologies.
Nevertheless, the growing liberalization and internationalization of service markets calls for a
stronger utilization of information and communication technologies in order to maintain com-
petitiveness. Innovation policy should therefore aim to increase the absorption capacity of
small and medium-sized companies and thus stimulate the diffusion of new technologies in
the service sector.
In addition, new concepts of supportive measures for the service sector must take into account
both the heterogeneity of the sector and the dominance of small companies. A policy provid-
- 37 -
ing stable and calculable prevailing conditions is therefore of central importance for further
development in the service sector. Indirect promotional measures correspond better to the
heterogeneity and small-business structure than direct support concepts which aim towards
specific products and technologies.
Employment expectations can generally be rated as positive, at least for employees with a
vocational or higher qualification. In companies with innovative activities, more jobs will be
generated for qualified staff. There are also indications that the staff qualification structure is
going to shift towards favoring more highly qualified people. This highlights the role of hu-
man capital in the productive process of the service sector segments examined, and underlines
the necessity for helping the less well qualified by implementing training schemes and/or
changes in the education structure.
Corporate training schemes are aimed at keeping abreast of technological change. Companies
with a higher proportion of highly qualified staff and users of new technologies exhibit more
intensive efforts in terms of training. There are almost no discernible indications that compa-
nies are specifically attempting to familiarize poorly qualified staff with the utilization of new
technologies. It is more probable that the requisite technical know-how is rather acquired
through new hiring, and that in-house training schemes primarily benefit the qualified and
highly qualified staff. The differences in human capital among employees are thus reinforced
by training approaches during the course of ongoing technological change.
Information and communication technologies constitute the pre-eminent cross-section tech-
nology for the service sector, ahead of all other modern-day technologies. Small and medium-
sized enterprises of the service sector’s traditional segments (e.g. carriers, logistics and trade)
do often not possess the internal resources to exploit the opportunities these technologies of-
- 38 -
fer. On the one hand, technological acceleration also causes any accumulated know-how to
become rapidly obsolescent, while on the other hand increasing liberalization demands inten-
sified use of precisely these technologies in order to maintain competitiveness. This, however,
reinforces the difficulties SMEs face in coping with the diffusion of IT in traditional service
sectors. In addition, time pressure on the side of the key personnel in SMEs in the booming
business services prevent them from reinvesting in human capital in order to keep up with
technology. Innovation policies should accordingly aim at increasing these companies’ ab-
sorptive capabilities.
This can be exemplified by the transportation segment: following complete liberalization of
the transportation segment throughout the European Union in 1998, the networking of local,
national and international carriers, plus the more intensive use of I&C technologies, will attain
central importance for safeguarding competitive positions. The decline in prices for freight
services, already triggered by initial steps towards liberalization, is hitting the liquidity of me-
dium-size carriers, and is often preventing systematic efforts towards utilizing information
and communication technologies and the requisite restructuring programs.
The know-how available in public research institutions is important for many small and me-
dium-sized service enterprises planning to use new technologies. Formal arrangements for
cooperations between SMEs and research institutions, however, are relatively rare in most
segments. Since innovation research has found that cooperative arrangements constitute an
essential and frequently effective source for the transfer of know-how, the question is how
more such cooperative arrangements can be stimulated. The primary aim here is, as a result of
altered priorities, to develop appropriate options at universities and research institutes which,
in their R&D activities, still focus on industrial production/development processes. Consid-
eration must also be given to the question of how the often inherently intangible character of
- 39 -
service products could best be allowed for, since it is precisely for this reason that existing
programs tend to pass them by.
Many service companies possess excellent preconditions for cooperative arrangements with
research institutions. Thanks to the high qualification of their workforce, particularly software
companies and consulting engineers are often unaffected by the most important barrier to co-
operation with bodies from the public-sector infrastructure: unfamiliarity with the idiosyncra-
sies and customs of the university and academic communities. Formal and informal arrange-
ments for cooperation are thus encountered quite often in these branches. Service companies
of this kind are also excellently suited for acting as a driving force to expand the relationship
between public-sector research institutions and small or medium-size enterprises from the
manufacturing sector. When formulating promotional measures for SMEs in the manufactur-
ing sector, research and technology policies should attempt to exploit this function of service-
sector companies, and pay more attention to service companies’ technology transfer function.
In conjunction with a further diffusion of information and communication technologies, par-
ticularly, new service segments like information mediators will emerge.
Our results indicate that in other branches of the service sector as well, especially when small
and medium-sized enterprises are involved, there are substantial problems to overcome in
adapting modern I&C technologies. The start-up costs for these new technologies include not
only the capital investment directly required for this purpose, but also the substantial indirect
outlay for generating the requisite human capital.
In view of the exigent problems of unemployment in Europe, the development in the staff
qualification structure, as mentioned above, constitutes a central field of action. The transfor-
mation into a service society will entail a substantial expansion of jobs for qualified and
- 40 -
highly qualified employees. This growth of "good jobs" will by far exceed the increase in
"bad jobs", if there is any increase at all in the modern service. The change in the qualification
structure towards more highly qualified employees, well documented in the manufacturing
sector over recent years, is manifested as a similar process in the surveyed service segments.
Political measures for combating unemployment have to take account of this trend to ensure
that unemployment and underemployment do not increasingly become a permanent condition
for unqualified workers; not least because long-term unemployment and technical progress
will continue to devalue existing qualifications.
Efforts to improve employment chances for unqualified workers can address both the relative
prices for unqualified work and the options for increasing these workers’ productivity. Vari-
ous policies can be applied separately or in combination. Options to decrease the relative
prices for unqualified work include (1) reducing the non-wage labor costs to be paid by the
companies for these workers, e.g. by cutting mandatory social security contributions, or (2)
reducing earned income for unqualified work, a step whose effects on available income can be
cushioned by lower income taxes for low incomes.
Training schemes could enhance the productivity of the lower qualified employees. At pres-
ent, training schemes tend to benefit mainly the qualified employees. Expansion of corporate
training programs, however, simultaneously calls for improvements in the quality standards of
the schemes involved, so that the search for suitable bodies to sponsor training schemes is
facilitated both for companies (and here the SMEs in particular) and for employees. However,
it is hard to say whether a tighter regulation of corporate training efforts may be beneficial. In
view of the multi-faceted, fast-changing context entailed by new technologies, direct regula-
tion of training schemes would appear of limited assistance, involving as it does the risk of
restricting the required flexibility in the training options on offer.
- 41 -
In any case, an increase the educational attainment of employees is a key for modern econo-
mies to profit from the job engine represented by the knowledge base service economy.
Moreover, educational reform should be seen as an integral part of innovation policy and
should not be treated separately. As economists have recognized long ago (see e.g. Nelson
and Phelps 1966, Aghion and Howitt 1998), a well-educated workforce is an important driver
of productivity and employment growth at the macro-level and at the micro-level of firms. At
the individual level of employees and unemployment, investing in education and life-long
learning presents a first best strategy to drive down the expected individual unemployment
probabilities. Given this potential utilities involved for all parties we should start with chang-
ing the priorities. Lower the relative cost of education and vocational training (see OECD
1998 for comparisons of the rates of return on physical and human capital investment) will
certainly increase the investment in human capital financed by the individuals, the firms and
the government.
To sum up: Education and training policies are the central starting points for further promot-
ing the transformation into a knowledge-based service society. An increase in public and pri-
vate investment in human capital is the key to a further extension and expansion of an inno-
vation-based service society.
- 42 -
References
Aghion, P. and P. Howitt (1998), Endogenous Growth Theory, MIT-Press: Cambridge, Mass.
Ark, B. van, E. Monnikhof, N. Mulder (1999), Productivity in Services: An International
Comparative Perspective, Canadian Journal of Economics 32, 471-499.
Baldwin, J. R., G. Gellatly, J. Johnson, V. Peters (1998), Innovation in Dynamic Service In-
dustries, Statistics Canada: Ottawa
Barras, R. (1986), Towards a Theory of Innovation in Services, Research Policy, 15, 161-173.
DIW (1998), Das Dienstleistungs-Puzzle. Ein aktualisierter deutsch-amerikanischer Ver-
gleich, DIW-Wochenbericht 35/98, 625-629.
Evangelista, R. (1999a), Innovation and Employment in Services: Results from the Italian
Innovation Survey, in: M. Vivarelli and M. Pianta (eds): The Employment Impact of
Innovation. Evidence and Policy, Routledge.
Evangelista, R. (1999b), Sectoral Patterns of Technological Change in Services, Economics of
Innovation, 1-39.
Evangelista, R. and G. Sirilli (1995), Measuring Innovation in Services, Research Evaluation,
5, 207-215.
Janz N. und G. Licht (1999) (Ed.), Innovationsaktivität in der deutschen Wirtschaft. Analyse
der Mannheimer Innovationspanels im Verarbeitenden Gewerbe und im Dien-
stleistungssektor, ZEW-Schriftenreihe Bd. 41, Baden-Baden: Nomos.
Janz, N., G. Ebling, S. Gottschalk and H. Niggemann (1999a), Innovation Activity of the
German Economy: Manufacturing and Mining Survey 1998, ZEW: Mannheim.
Janz, N., G. Ebling, S. Gottschalk and H. Niggemann (1999b), Services in the Future. Inno-
vation Activity in the German Service Sector, ZEW: Mannheim.
Kaiser, U. (1998), Shifting Employment Patterns, ZEW-Discussion Paper 98-26, Mannheim.
Klomp L. and G. van Leeuven (1999), The Importance of Innovation for Firm Performance,
LNM-series 9902, Statistics Netherlands, Voorburg.
- 43 -
Landauer, T. K. (1995), The Trouble with Computers - Usefulness, Usability and Productiv-
ity, MIT Press: Cambridge, Mass.
Legler, H., G. Licht and A. Spielkamp (1999), Germany’s Technological Competitiveness,
Physica: Heidelberg, (in print).
Licht, G. and A. Fier (1999), Management Training in Small and Medium Sized Company in
Germany: A Case Study. Report on behalf the OECD’s working party on SMEs,
Mannheim.
Licht, G. and D. Moch (1999), Innovation and Information Technology in Services, Canadian
Journal of Economics 32, 363-383.
Licht, G., C. Hipp, M. Kukuk, G. Münt and N. Janz (1997), Innovationen im Dienstleistungs-
sektor. Empirischer Befund und Wirtschaftspolitische Konsequenzen, ZEW-
Schriftenreihe Bd. 22, Baden-Baden: Nomos.
Miles, I. (1999), Interactivitity and Intangibility: Another Pair of I’s, Mimeo.
Miles, I. and M. Matthews (1992) Information Technology and the Information Economy, in:
Understanding Information Technology ed. K. Robins (London).
Nelson, R. and E. Phelps (1966), Investment in Humans, Technological Diffusion and Eco-
nomic Growth, American Economic Review 56, 69-75.
O’Mahony, M. (1999), Britain’s Productivity Performance 1950-1996, An International Per-
spective, National Institute of Economic and Social Research, London.
OECD (1997) Guidelines for Collecting and Interpreting Innovation Survey Data - The OSLO
Manual, Second Edition., OECD: Paris.
OECD (1998), Education at a Glance, OECD: Paris.
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Appendix 1: Industries Contained in the German Innovation Survey in
Services according to NACE, Rev. 1, 1993
G. WHOLESALE AND RETAIL TRADE; REPAIR OF MOTOR VEHICLES, MOTORCYCLES AND
PERSONAL AND HOUSEHOLD GOODS
51 Wholesale trade and commission trade, except of motor vehicles and motorcycles
52 Retail trade, except of motor vehicles and motorcycles; repair of personal and household goods
I. TRANSPORT, STORAGE AND COMMUNICATION
60 Land transport; transport via pipelines
61 Water transport
62 Air transport
63 Supporting and auxiliary transport activities; activities of travel agencies
64 Post and telecommunications
J. FINANCIAL INTERMEDIATION
65 Financial intermediation, except insurance and pension funding
66 Insurance and pension funding, except compulsory social security
67 Activities auxiliary to financial intermediation
K. REAL ESTATE, RENTING AND BUSINESS ACTIVITIES
70 Real estate activities
71 Renting of machinery and equipment without operator and of personal and household goods
72 Computer and related activities
74 Other business activities
- 45 -
Appendix 2: Innovation and Firm Growth in Netherlands 1994-96
Data based on the Dutch Innovation Survey
-2,0 0,0 2,0 4,0 6,0 8,0 10,0 12,0
Innovative
Non-Innovative
Innovative
Non-Innovative
Growth rates 1994-96
Other industriesServiceManufacturing
Sales Growth
Employment Growth
Source: Klomp and van Leeuven 1999; Table 4.2.1
- 46 -
Appendix 3: Impacts of Innovation on the Skill Structure
Evidence for Italian Service Industries 1993-95
-60 -40 -20 0 20 40 60
Banking
Advertising
Travel/Transport
Oth.Business S.
Insurance
Engineering
R&D Services
Tech. Consultancy
Software
Telecom
Normalised Differences (in %)
High-SkilledMedium-SkilledLow-Skilled
Source: Evangelista (1999a), Table 7.12
Remark: Normalised Differences = Difference between the share of firms expecting increas-
ing employment in a skill group and the share of firms expecting decreasing employment in
this skill group