5. DISCUSSION
5.1 Hypothetico-Deductive Analysis
An essential component of hypothetico-deductive research is the comparison of the
findings with the hypotheses deduced a priori from preliminary research. In this study, the
preliminary study was an examination of secondary sources. Based upon these the
hypotheses listed in Table 41 were deduced and were examined with respect to the
findings described in Chapter 4.
It is again stressed that the measures used to determine the effectiveness of
technology transfer when comparing different hypotheses were adherence to project start-
time schedule, the project end-time schedule and to the project budget the composite
value of the three, TTE (Technology Transfer Effectiveness). Absolute measures of cost
like those measured by Teece (1977) are not used. The technology transfer effectiveness
is not a true measure of the costs of transferring technology. It is a measure of how
successfully the transfer was when compared to expectations, both schedule and budget.
Table 41. Hypotheses examined in the discussion of the research findings.
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1. American firms are more effective at transferring technology than European firms.
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2. Longer established subsidiaries transfer technology more effectively.
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3. Firms with fewer employees transfer technology more effectively.
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4. Subsidiaries with greater autonomy transfer technology more effectively.
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5. Subsidiaries that have completed more previous transfers transfer technology more
effectively.
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6. Subsequent transfers of technology that has been previously transferred are more effective.
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7. Technology transfer is less effective when more of the process, site and people are new.
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8. More generic technology is transferred more effectively.
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9. Companies that experience defections to competitors transfer technology more effectively.
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10. Technology transfer is more effective when more Irish employees travel abroad to assist.
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11. Technology transfer is more effective when more overseas employees travel to Ireland to
assist.
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12. Fewer trips abroad by Irish employees are needed for subsequent technology transfers.
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13. Fewer trips to Ireland by overseas employees are needed for subsequent technology
transfers.
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14. Technology transfer is more effective when there is a key employee responsible.
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15. Technology transfer is more effective when the links are strong.
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16. Managers are more satisfied with the technology transfer process when it is more effective.
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17. Technology transfer is more effective when both parties are committed to its success.
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18. Technology transfer is more effective when employees of the transferee are more qualified
and capable.
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19. Technology transfer is more effective when training and documentation are better.
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20. Technology transfer is more effective when companies apply business improvement
initiatives.
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21. Usage of the Internet improves technology transfer effectiveness.
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22. Subsidiaries with longer established R&D facilities transfer technology more effectively.
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23. Subsidiaries with more complex R&D transfer technology more effectively.
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24. Companies which include employees of subsidiaries in product development teams transfer
technology more effectively.
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5.1.1. American firms are more effective at transferring technology than
European firms.
The can-do attitude and American flair for innovation have seen American multinational
corporations establish subsidiaries all over the world. They seem to be more effective at
technology transfer that European companies. Some of the underlying reasons for this can
be found in the studies of Hofstede (1993). Low power distance, high individualisation
and low uncertainty avoidance have been associated with risk taking, a certain amount of
which was considered necessary for the establishment of subsidiaries in countries with
alien culture. However, in no studies available to the author was this theory examined.
Ghoshal and Bartlett (1988) surveyed the diffusion of innovation by American and
European multinational companies. However, they report no examination of the
differences with respect to nationality.
The technology transfer effectiveness of American pharmaceutical and medical device
companies was found to be significantly better than that of European companies (Section
4.3.1). Therefore the hypothesis was found to be true.
There was only data form one Japanese company available in the study. But the
Japanese are not as strong in the pharmaceutical and medical device industry as they
would be in other consumer goods. However, this one company did score very highly in
the TTE. This is not enough information to state anything with certainty, although it is
consistent with the good reputation that Japanese companies have for knowledge diffusion
(Nonaka and Takeuchi, 1995).
5.1.2. Longer established subsidiaries transfer technology more effectively.
The role of duration on multinational investment strategy in the UK was found to be
significant (Mudumba, 1998). Teece (1977) reports that older firms are likely to have
lower costs. While neither of these points necessarily means that the technology transfer
effectiveness will be better for longer established firms, it is felt that the balance of
probabilities are that they will transfer technology more effectively.
The hypothesis was not found to be true. The TTE values follow no discernible
pattern with respect to age (Section 4.3.2). There are several possible reasons for this.
Firstly, the TTE value is a measure against expectations, not against absolute costs.
Perhaps the newer companies are allowing for their relative inexperience by setting longer
schedules and larger budgets than more established firms. Secondly, newer firms are in a
technology transfer mode. They have probably hired personnel who will smooth the
transfer process. Older companies may no longer employ all the key personnel who were
responsible for the major technology transfers. The companies 6-10 years old had the
worst TTE scores. Perhaps, the young companies benefit from being in start-up mode and
the older companies form their experience and the companies of intermediate age are the
ones that are less effective. However, the differences in the value of the TTE for the
different age bands are not significant.
5.1.3. Firms with fewer employees transfer technology more effectively.
There are contradictory opinions as to whether large firms or small firms transfer
technology more effectively. Teece (1977) reasons that larger firms will have a wider
range of managerial talent and so will be better able to handle the demands of technology
transfer. Smaller firms will be stretch managerially and the extra demands would be
especially burdensome. However, Teece is considering the costs which may not be the
same as technology transfer effectiveness. Smaller companies may make allowances for
their lack of talent and allow for hiring consultant in the budget. The tacit barriers to the
diffusion of knowledge that tend to be the main impediments to transfer of knowledge
(Szulanski, 1996) would be a greater problem throughout a larger organisation. The
author has experienced both the stretched resources of within a small organisation and the
communications difficulties within a larger organisation. It is his opinion that the
deleterious effect on communications within a large organisation would be a greater
obstacle to technology transfer than the resource shortage in smaller organisations.
The effect of TTE was measured against size measured in terms of number of
employees and in terms of sales (Section 4.3.3. There is not a particularly strong trend in
either set of data which would have any great statistical significance. The trends are that
companies with higher sales transfer technology more effectively and companies with
fewer employees transfer technology more effectively. The combination of trends may
suggest that less labour intensive firms are more successful at transferring technology than
more labour intensive industries. This is similar to the finding by Teece (1977) that the
cost of technology transfer was lower in the less labour intensive chemicals and petroleum
sectors than in the more labour intensive machinery sectors. It is not surprising when
considering Szulanski's (1996) hypothesis that the major impediments to transfer of best
practice are the people related stickiness factors. The result seems to be compatible with
both Teece's and Szulanski's positions. Smaller companies with large sales will have
sufficient money in the budget to smooth out transfer issues. Companies with fewer
employees will diffuse knowledge more smoothly throughout the firm.
5.1.4. Subsidiaries with greater autonomy transfer technology more effectively.
Like the last hypothesis, an examination of the literature reveals findings that both support
and contradict this hypothesis. Ghoshal and Bartlett (1988) proposed that high levels of
local autonomy would facilitate creation and diffusion of innovation, but impede adoption.
However, they did not find this in Phases II and III of their study. Teece (1977) found
that a greater level of R&D at the subsidiary, which would suggest a higher degree of
local autonomy, reduced the cost of technology transfer. The author opines that
subsidiaries with a greater degree of local autonomy would be better able to react to
difficulties with the transfer which will result in a better technology transfer effectiveness.
Subsidiaries with a greater degree of autonomy over human resources (pay and
conditions, hiring and recruitment) and financial plans transfer technology more effectively
(Section 4.3.4). There are no significant trends related to the other areas. Indeed,
subsidiaries which have the least amount of autonomy over R&D and product
specification have slightly more effective technology transfer, although the difference is
not significant.
The trend with respect to HR and Finance matters supports the hypothesis that
subsidiaries with a greater degree of local autonomy would be better able to react to
difficulties with the transfer which will result in better technology transfer effectiveness.
Because of the autonomy over decisions related to budgets, pay and recruitment they can
react by hiring whoever or spending whatever to solve issues that arise during the course
of the technology transfer process.
5.1.5. Subsidiaries that have completed more previous transfers transfer
technology more effectively.
This hypothesis is well supported in the literature. Teece (1977) reports that the cost of
technology transfer is reduced with experience. Zander and Kogut (1995) report that
speed of transfer improves with experience.
However, this trend was not seen in the analysis (Section 4.4.1). The most and least
experienced firms have the best TTE scores, especially due to scheduling components.
However, there are only 4 firms with more than 20 transfers so the data are somewhat
questionable. As the judgement criteria relate to performance against the planned
schedule and budget and not the overall cost examined by Teece, it is not too surprising
that start-up technology transfers are good when compared to later transfers. It is likely
that more planning and resources were allocated to these technology transfers.
5.1.6. Subsequent transfers of technology that has been previously transferred
are more effective.
This hypothesis is supported by the literature. The number of previous transfers of the
technology was found to have an effect on the technology transfer performance (Zander
and Kogut, 1995). Teece (1977) found that the cost decreases with subsequent transfer of
technology.
The second transfer of a technology was found to be more likely to finish on schedule
than the first transfer (Section 4.4.2). The overall effect on the TTE is improved although
the result is not statistically significant.
This result that subsequent transfers are more likely to finish on schedule is consistent
with the finding of Zander and Kogut (1995) that the number of previous implementations
has an effect on the speed of transfer.
5.1.7. Technology transfer is less effective when more of the process, site and
people are new.
Japanese firms will try to limit technology transfers so that at most only one of the
process, site or people is new. For instance when establishing a car plant in Europe the
company will install a process already developed and transfer as many people as necessary
to ensure a smooth transfer. Effectively only the site is new.
The effect of this on TTE is shown in Table 16. The expected effect is not seen and
the score was best for the cases where all three were new, although with only 5 data the
score can be questioned. In any case the difference is not statistically significant.
However, there were problems with the answers to the question in the questionnaires
indicating that many respondent did not fully understand the question. Therefore, no
conclusion of any value can be drawn.
5.1.8. More generic technology is transferred more effectively.
Zander and Kogut (1995) studied the relationship between the uniqueness of the
technology and speed of transfer. Technology that is common throughout an industry is
more easily transferred than unique technology. However, no apparent correlation was
found in this study (Section 4.5.2).
5.1.9. Companies that experience defections to competitors transfer technology
more effectively.
Zander and Kogut (1995) also examined defections to competitors expecting that firms in
industries with a higher degree of mobility of employees between competitors were more
likely to have speedy knowledge transfer. This is observed in this study (Section 4.5.3).
A reason for this may be that the firms who have lost employees have better-trained
employees who can move easily to other jobs. It would be interesting to compare the
technology transfer effectiveness of firms who had hired employees from competitors with
those who had not. There should also be a positive correlation. It is unfortunate that this
question not asked.
Many companies are unwilling to train their employees because of fear of losing them
once trained to competitors. This would seem to be an incorrect strategy. Companies
who train their employees well not only gain the benefit of them while they are working
for them. They are likely to be enthusiastic dynamic employees. They also receive the
benefit of new blood with fresh ideas when employees who leave are replaced. While a
high level of employee turnover is detrimental to morale and efficiency, some employee
turnover is essential to maintain the vigour of an organisation (O'Keeffe, 2000).
It is also noteworthy that only 14% of firms have lost employees to competitors. This
indicates that there is not much mobility of employees. There has not been much change
since Kelly (1985) studied technology transfer in the Irish chemical industry. He examined
the effect of staff mobility and found that staff turnover was too slow to have the effect of
diffusing technology from subsidiaries of foreign multinationals to the sector in Ireland as
a whole.
5.1.10. Technology transfer is more effective when more Irish employees travel
abroad to assist.
Travel and strong communications are important in the knowledge diffusion process. It is
especially important for conveying tacit knowledge during product and process
development. Nonaka and Takeuchi (1995) report that Nissan sent its entire product
development team to Europe to experience European driving conditions when developing
the Primera. Ghoshal and Bartlett (1988) found that strong communications between
headquarters and subsidiary and between subsidiaries were important to aid the creation,
adoption and diffusion of innovations within multinational corporations.
Therefore, it was expected that travel by more Irish employees as part of a technology
transfer process would improve its effectiveness. However, only a marginal benefit was
found (Section 4.6.1). In comments about recommended practices many respondents
stressed the importance of strong communication (Section 4.10), although only 7
respondents used the word visit. Training which may or may not suggest foreign travel
was also recommended.
A reason why travel by Irish people abroad may not be of great benefit to the
pharmaceutical and medical device industries when compared to other industries is that the
regulated nature of the industries do not allow changes to be made to processes without
validation. All processes must be well documented. Therefore, the tacit component of the
knowledge is not as important as in other industries where documentation requirements
are slacker.
5.1.11. Technology transfer is more effective when more overseas employees
travel to Ireland to assist.
Likewise, we would expect an improvement in technology transfer effectiveness with
more travellers to Ireland by employees of headquarters, home-country manufacturing
sites and employees of key equipment vendors. Indeed, in this case there is a marked
improvement in TTE with an increasing number of travellers (Section 4.6.2). This effect
is most especially marked on project start time. There is statistically significant benefit
from sending five or more employees to Ireland when compared to sending fewer than
five.
This benefit due to travel supports the findings made by Ghoshal and Bartlett (1988)
that the positive benefits of normative integration through organisational socialisation
improves a multinational company subsidiary's ability to contribute to different normative
tasks.
But why is there a significant benefit to sending more travellers to Ireland and there is
not when sending travellers from Ireland? The benefit was only significant on the project
start schedule. There was some marginal benefit on the end schedule. The effect was
marginally deleterious on adherence to the budget. Therefore, it is probable that the
project starts more quickly because the travellers are more knowledgeable and can 'hit the
ground running', so to speak. It is also possible that they are working primarily on the
early stages of the process and the sooner they complete their tasks, the sooner they can
go home.
5.1.12. Fewer trips abroad by Irish employees are needed for subsequent
technology transfers.
This hypothesis is similar to the hypothesis that technology transfer effectiveness will
improve with experience of conducting transfers (Kogut and Zander, 1995). That
hypothesis was not found to hold in this study (Section 5.1.5) and this hypothesis does not
hold either. Indeed, more respondents reported an increase in the amount of Irish
employees travelling abroad when compared to previous transfers (Section 4.6.3).
The reasons are hard to understand without more information. Perhaps, the scale and
complexity of the technology projects being transferred to Ireland is increasing. This
would require larger number of people to travel to absorb the tacit knowledge necessary
for these more complex projects. None of the travel data takes the complexity of the
projects into account. This is consistent with the findings of Mudumba (1998) concerning
the duration on multinational investment strategies. Also, more Irish people travelling
abroad may indicate that firms now employ more indigenous employees than before who
are capable of transferring complex technology. It is a good thing that there are more
Irish based employees travelling abroad to absorb the tacit knowledge and improve the
value of the Irish operation. Nonaka and Takeuchi (1995) emphasise the importance of
travel on the new product development process.
But the minority of companies that did report fewer travellers transferred. This could
be because less money was spent on travel. It may also indicate that the firms with better
organisational learning, both reduce the requirement for employees to take trips abroad
and also learn better methods of transferring technology. Perhaps much of the travel
requirements is to deal with problems that arise during the transfer process. Companies
that require less travel, and indeed a reducing amount of travel are probably those who
have the best developed transfer procedures.
5.1.13. Fewer trips to Ireland by overseas employees are needed for subsequent
technology transfers.
This hypothesis does not hold either. The same number of companies report an increase in
the amount of travel to Ireland by overseas employees as report a decrease (Section
4.6.4). So while the number of companies receiving more travellers in not increasing as in
last case relating to Irish employees travelling abroad, it is not decreasing either. The
explanation may well be that the complexity of projects being transferred is increasing and
for that reason it is not possible to reduce the number of travellers significantly.
The same trend is seen with respect to the TTE score for the companies that require
fewer travellers from abroad. This supports the earlier contention that in some cases the
Irish subsidiaries are becoming much more competent at transferring technology. As such
they are transferring the technology more effectively and requiring fewer visitors form
abroad to assist.
5.1.14. Technology transfer is more effective when there is a key employee
responsible.
Nonaka and Takeuchi (1995) propose that their American Football model is the most
effective for new product development. In this model an expert project manager calls on
the requirements of the expert teams needed to complete various stages of the project.
The same model may be applied to technology transfer projects.
However, companies that do employ a key individual to co-ordinate technology
transfer projects are not more effective than those who do not (Section 4.6.5). Indeed,
technology transfer is marginally more effective for companies that do not, although the
result is not statistically significant. Again complexity of projects may be the explanation.
Companies that require a technology transfer specialist are those that are transferring more
complex technology. Or alternatively the explanation may be that companies that have a
key employee are those who are starting to transfer technology. Once companies become
more experienced they have several employees capable of managing a technology transfer
project and no longer require a key employee to coordinate.
5.1.15. Technology transfer is more effective when the links are strong.
Hansen (1999) found that having weak inter-unit links speeds up projects when
knowledge is not complex, but slows them down when the knowledge to be transferred is
highly complex. He supports the weak-tie theory proposed by Granovetter (1973) that
distant and infrequent relationships (weak ties) are efficient for knowledge sharing because
they provide access to knowledge by bridging otherwise disconnected groups and
individuals in the organisation. Strong ties on the other hand are likely to lead to
redundant information because they tend to occur among the same small group and
everyone knows what the others know. However, for complex information transfer strong
links are needed.
So is the transfer of technology to Irish subsidiaries of multinational pharmaceutical
and medical device companies generally not so complex that they would benefit from
weak links or complex requiring strong links? Given the complications that can result
from the validation procedures, the author feels that on balance most of the technologies
transferred are complex requiring strong links with the main R&D site.
Whether needed or not, it was found that the majority (75%) have strong links with
the main R&D site (Section 4.6.6). Most of the remainder have weak links and one
respondent reports no links at all. There was no difference in technology transfer
effectiveness between the companies with strong and weak links. Therefore the
hypothesis has not been found to be true. The information available is not sufficient
without more information about the complexity of transferred technology.
5.1.16. Managers are more satisfied with the technology transfer process when
it is more effective.
Szulanski (1996) found that the greatest impediments to internal knowledge transfer were
factors such as the recipient's lack of absorptive capacity, causal ambiguity and arduous
relationship between source and recipient. He used satisfaction to measure these factors.
For this reason there should be a correlation between technology transfer effectiveness and
satisfaction with the transferred technology. A comparison of satisfaction data with
technology transfer effectiveness is reasonable well correlated (Section 4.7.1).
The reason for this relationship is intuitive. If the process is transferred on time and
on budget, the Irish management is more likely to be satisfied than dissatisfied.
5.1.17. Technology transfer is more effective when both parties are committed
to its success.
Szulanski (1996) found that transfer of best practice within a firm is more effective when
both sides are committed to the process. The was a slight benefit to the technology
transfer effectiveness when there was a good working relationship between transferor and
transferee and when the levels of commitment to the process were highest. (Section
4.7.2). Only 10% reported that the Irish management was anything less than very
committed to the process. This level of commitment is not unexpected but is especially
important for successful knowledge transfer (Szulanski, 1998; Ghoshal and Bartlett,
1988).
The level of commitment of the exporting site was not as high. This is not
unexpected as in some cases the transfer of technology to Ireland may equate to a loss of
jobs in the technology exporting country. Just under 50% were very committed and
greater than 80% were committed or very committed. There is a slight difference in
technology transfer effectiveness depending on whether the exporting site is very
committed or just committed.
5.1.18. Technology transfer is more effective when employees of the transferee
are more qualified and capable.
Szulanski (1996) found that the one of the impediments to internal knowledge transfer
was the recipient's lack of absorptive capacity. To examine this effect respondents were
questioned about the level of qualification of the Irish workforce and the managerial
capability. All answers except three to each question were answered as strong or very
strong. The technology transfer efficiency is marginally better for those expressing the
highest level of qualifications and managerial capability, but the differences are not
significent. Therefore there is insufficient information to determine whether the hypothesis
is valid or not.
5.1.19. Technology transfer is more effective when training and documentation
are better.
Another conclusion that can be drawn from the study by Szulanski (1996) is that
technology transfer is more effective when the training and documentation are better.
Training and documentation are essential components of knowledge transfer process and
are the major modes of knowledge conversion. Training is a method both of socialisation,
the mode by which tacit knowledge is transferred, and of internalisation, the conversion of
explicit knowledge to tacit knowledge (Nonaka and Takeuchi, 1995). Documentation is a
method both of externalisation, the conversion of tacit knowledge to explicit knowledge,
and of combination, the transfer of explicit knowledge. Both are essential to effective
technology transfer.
The ease of training and the quality of training are consistent with improved
technology transfer effectiveness (Section 4.7.4). The improved technology transfer
effectiveness is mainly the result of better scheduling, both start time and finish time. The
latter can be intuitively understood because being able to complete training speedily will
allow the project to completed in good time.
The correlation between quality of training and good adherence to the start schedule
is less clear. Perhaps, when the project starts in good time, it allows more effort to be
spent on training that might otherwise have to be spent on other matters.
There is no obvious correlation between the technology transfer effectiveness and the
quality of documentation. This would suggest that effective socialisation and
internalisation are more important to the technology transfer process than effective
externalisation and combination.
5.1.20. Technology transfer is more effective when companies apply business
improvement initiatives.
In a recent study Quazi and Bartels (1998) studied the application of TQM principles to
international technology transfer processes. They found that a combined ITT-TQM
(International Technology Transfer - Total Quality Management) should ensure proper
assimilation of imported technology and permit continuous improvement of the processes.
It is hypothesised that those companies applying TQM to the technology transfer
process will transfer technology more effectively. It is further surmised that the
application of other business improvement method described in Section 2.4 are also likely
to benefit the technology transfer process because of the objective of most is to improve
the way business is done. Since technology transfer is an essential business function for
multinational healthcare and pharmaceutical companies there is likely to be a benefit.
In this study, those surveyed were asked whether they had applied TQM or 6?,
Business Process Engineering, Benchmarking, Integrated Technologies or Lean Thinking
to the technology transfer process. The effect on technology transfer effectiveness was
examined (Section 4.8). In the analysis around 50% of firms had applied TQM or 6? and
benchmarking to technology transfer. There was significant improvement to technology
transfer effectiveness. Fewer firms applied the Integrated Technologies, Lean Thinking or
Business Process Engineering and those who did have more effective technology transfer.
An improvement in technology transfer effectiveness was most marked for those who
applied Business Process Engineering and Integrated Technologies (WCM) although the
effect is not that significant. Both methods involve re-examining the way things are done
and implementing new improved methods. It is impossible to know if the firm's TTE
score was better because these methods had been applied to technology transfer, or
because the more innovative firms who try all new ideas are the ones that have better
developed knowledge transfer techniques.
There was very slight benefit from the application of lean thinking. It is interesting to
note that the improvement is all due to better adherence to the budget. There is
insufficient evidence to be completely convinced about the benefits of application of the
various business improvement initiatives.
5.1.21. Usage of the Internet improves technology transfer effectiveness.
The use of the World Wide Web for international technology transfer was studied Hoetker
(1997). He highlighted the fact that some difficulties associated with international
technology transfer are (1) the lack of familiarity and contact makes it more difficult to
find technologies and people; (2) language differences; (3) logistics of communication; and
(4) cultural differences. Many of these difficulties are overcome by the usage of USENET
and WWW on the Internet.
Therefore the effect of usage of the Internet on technology transfer effectiveness was
assessed (Section 4.8.2). The responses were rated extensive use, limited use or no use.
There is no apparent effect due to Internet usage on technology transfer performance,
TTE. Firms that made limited usage of the Internet actually transferred technology
slightly better than those that made either extensive usage or no use. However, the
differences are not that significant. The reason that more benefit was not seen may be that
companies in industries other than computers and electronics have still not completely
embraced the benefits of this new technology. Also, the proprietary nature of a lot of
technology transferred with the pharmaceutical and medical device industries may prevent
there being much information of use on the Internet that can assist with technology
transfer.
5.1.22. Subsidiaries with longer established R&D facilities transfer technology
more effectively.
Teece (1977) reports that subsidiaries of multinational companies which spend a greater
amount as a proportion of sales on research and development have lower technology
transfer costs. A greater amount of R&D conducted is consistent with have a more
knowledgeable workforce better capable of absorbing new technology. On the other hand
Ghoshal and Bartlett (1988) proposed that high levels of local autonomy would impede
adoption of innovation. However, they did not find this in Phases II and III of their study.
The effects of two factors concerning R&D on technology transfer effectiveness were
examined in this study. The first was the effect of the presence of R&D facilities and the
duration since their establishment (Section 4.9.1). There is no effect so the hypothesis
does not hold.
However, what is interesting is that over half of the companies now have R&D
facilities in Ireland and the majority of these have been established in the last five years.
This indicates that the abilities of personnel at Irish manufacturing operations is being
recognised by their parents. This may be the result of many talented returning emigrant
and immigrant who have joined the Irish workforce in recent years. The author is aware
that his own employer (not included in the survey) has established an R&D facility that has
developed products for worldwide sale in the last five years. While anecdotal this
observation supports that result that 54% of multinational healthcare and pharmaceutical
companies have now established R&D facilities in Ireland, many of them within the last
five years.
5.1.23. Subsidiaries with more complex R&D transfer technology more
effectively.
The second question asked about the effect of complexity of R&D on technology transfer
(Section 4.9.2). Again there is no apparent benefit to conducting R&D on technology
transfer performance. And again the most interested findings relate to the extent of R&D
in Ireland.
The R&D complexity gradings used by Taggart (1998) in his study of the complexity
of R&D in affiliates of multinational firms in the UK are used and compared with
technology transfer effectiveness. The ability to adapt manufacturing processes to local
needs (2) and capability to develop new and improved products and processes for
worldwide use (4) are the most popular categories for those conducting firms who
conduct R&D. Because the vast majority of multinational firms operating in Ireland
export most of their production the categories basic customer technical services (1) and
capability to develop new and improved products and processes for domestic use (3) are
not important. Only four firms carry out the most advanced R&D (5). The next category
down (4) had the poorest TTE score and it is considerably worse than companies
conducting no R&D. Therefore, the hypothesis that firms conducting more complex R&D
have more effective technology transfer processes does not hold.
Fewer firms do no R&D (18) than firms that have no R&D facilities (26). This
indicates that some firms conduct research without specific facilities. In all 68% of firms
conduct some R&D. Of these 44% of companies carry out R&D in the top three
categories.
5.1.24. Companies which include employees of subsidiaries in product
development teams transfer technology more effectively.
Subramaniam et al. (1998) studied the usage of global product development teams. They
found that firms were more likely to employ cross-national teams and include overseas
subsidiaries as sources of new product concepts when they addressed tacit differences
among overseas markets and plants for their overall product design. Because of this
emphasis on tacit knowledge it is hypothesised that subsidiaries with personnel involved in
global product development will have better tacit links with R&D sites, and as a result will
transfer technology more effectively.
The majority of firms use such teams and there are Irish members on most of these
teams. The technology transfer effectiveness is slightly better for companies that use
global teams and are better again when there is Irish participation. However, the results
are not statistically significant. This demonstrates that the inclusion of Irish based
employees in product and process development may marginally improve the efficiency of
the technology transfer process, although the relationship is not strong enough to be
certain that the hypothesis is true.
Technology transfer effectiveness was compared with the four different product
development processes proposed by Nonaka and Takeuchi (1995) in their study of
knowledge creating companies. The rugby approach is most popular in the medical device
and pharmaceutical industries. The relay approach is not popular in the industries studied
where more overlap of different stages is required. The one result here is not enough to
draw a meaningful conclusion. Companies using the more modern American Football
method in which a project manager co-ordinates the various 'special teams' score slightly
better than companies using the more traditional rugby approach. This approach is
recommended by Nonaka and Takeuchi (1995) because it combines the best aspects of the
rugby and relay approaches, i.e. the continuity of having a core individual overseeing all
stages combined with the usage of specialised teams to perform all the actions.
5.2. Qualitative analysis
A limited qualitative analysis was conducted by asking participants to list practices and
methods which they found aided the technology transfer process. They were also asked to
list practices, methods, or the absence of practices which hindered the process.
5.2.1. Recommended practices and methods
Forty-eight respondents provided an answer to the question which asked for a list of
specific practices or methods which aided the technology transfer process. Twenty-eight
answered the questions which asked for a list of specific practices or methods, or absence
of practices, which hindered the technology transfer process. The results are summarised
in Section 4.10 and the full list of responses is given in Appendix C.
The practices that were considered most important overall by the respondents are
project management/planning, teamwork, communications (also meetings and visits),
training, clear procedures and documentation.
Other practices of interest mentioned a few times are conferences calls, validation
procedures, benchmarking, information sharing, the use of existing production methods,
contract with specialist equipment companies, supplier management, risk analysis,
ISO9002 and good on-site management.
5.2.2. Practices and methods not recommended
Fewer respondents (28) noted practices that hindered and the string analysis used to
analyse the best practices was not useful. There was a greater variety of problems
mentioned than good practices, even with around half the number of responses.
Validation was the issue that received most mentions, but this was only in 10% of
repsonse. In general the problems can be grouped together and are opposite to the good
practices most frequently mentioned. Good planning, communications, teamwork,
training, procedures and documentation would prevent most of the problems mentioned
from occurring.