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Empirical model of factors influencing market success of innovations in Hungarian context
Research problem and objectives
Research problem
Innovation is one of the most important factors in market success. In the
literature there is an abundance of proofs of the above statement.
 The positive relationship between marketing and innovation is underlined
by Drucker (2008) who wrote that "Because the purpose of business is to
create a customer, the business enterprise has two--and only two--basic
functions: marketing and innovation. Marketing and innovation produce
results; all the rest are costs. Marketing is the distinguishing, unique
function of the business.„
 Henard and Szymanski (2001) collected 24 drivers of successful new
product launches by meta-analysis of the literature of innovation success.
However, they did not develop a model of market success of innovation,
which is missing in the Hungarian literature, too
Objectives
Our most important research objectives were
• to create the empirical model of factors influencing corporate innovation
on the basis of the related literature and our own previous experiences,
• to identify the relationships among the elements of the model and
• to empirically test our hypothetic model.
Conceptualization and operationalization
Data collection and analysis
Data collection
In order to test the hypothetical model, a survey - supported by a
questionnaire - was carried out. (This model was chosen because its
application is very simple, the data collected are responsible and the
respondents are restricted to give pre-determined alternatives. Pre-recorded
answers reduce diversity caused by respondents and data coding, analysis and
interpreting is relatively simple.)
 The population of the sample was made up by companies having R&D
activities operating in Hungary. Population size was 1774 companies.
Sample frame assigned to population size of the research was provided by
the R&D register of the Hungarian Central Statistical Office.
 The confidence level of the total sample is 95 percent, its sampling error is
±9,8 percent. The sample size was 94 companies.
Analysis
Data collection was carried out with telephone interviewing by experienced
interviewers prepared for this aim. We carried out univariate, more simple
analyses on the sample: frequency tables, means, crosstabs, variance,
correlation. Analysis was carried out by Microsoft Excel and AMOS software.
The empirical model
Research results
Hypothetic model was tested by AMOS, in which six variables were defined.
Four of them were latent variables:
 firm strategy (STRAT), firm process (PROC), product characteristics (PROD)
and market success (MSUCC).
Furthermore two manifest variables were in the model:
 number by competitors (RNUB) and intensity (RINT).
According to the results it can be stated, that quality, standard of innovation
and product developmental process are determined significantly (RW,
Regression Weight=0,578; P=0,000) by firm strategy characteristics, as well as
marketing and technological synergy and dedicated human and R&D
resources.
In our model market success is determined by three factor groups (strategy,
process and product characteristics) and on the basis of the results it can be
stated that product characteristics have the biggest impact (R.W.=0,54).
From our further analyses it is clear that market success of the firm has
influence on the number of competitors’ reaction (R.W.=0,193) and intensity
(R.W.=0,350) but at the same time the number of reactions also influence
reaction intensity to a large extent (R.W.=0,782).
Conclusion and implementations
 On the basis of our empirical analysis it can be stated that for the sake of
successful innovation, coordinating firm strategy characteristics and
process characteristics is extremely important because strategy
characteristics have very strong influence on process characteristics.
 However it is more important to optimise product characteristics that are
determined by product advantage, meeting customer needs, competitive
price, product technological sophistication and product innovativeness, as
these variables have the strongest direct influence on the market success
of innovation.
 If we would like to achieve market success with innovation, optimization of
product characteristics is insufficient because process characteristics and
strategic characteristics also have direct impact on market success,
although this influence is much weaker than at product characteristics, but
their effects are not negligible at all.
 Therefore to achieve market success, the optimisation of all the three
factor groups is needed. Certainly, successful innovation – proving our
assumption - cause strong reactions from the competitors that are signalled
by the growth of reaction numbers and their growing intensity.
UNIVERSITY OF MISKOLC FACULTY OF ECONOMICS INSTITUTE OF MARKETING
Dr. István Piskóti1 – Dr. Szabolcs Nagy2 – Dr. László Molnár3 – Csilla Dr. Molnárné Konyha4
Head of Institute, Head of Department, Associate Professor1 – Head of Department, Associate Professor2 – Assistant Professor3 – PhD student4
University of Miskolc, Faculty of Economics, Institute of Marketing
Please visit our website: http://www.marketing-miskolc.hu
Dr. István Piskóti
Head of Institute
Head of Department
Associate Professor
piskoti@uni-miskolc.hu
Dr. Szabolcs Nagy
Head of Department
Associate Professor
marvel@uni-miskolc.hu
Dr. László Molnár
Assistant Professor
marml@uni-miskolc.hu
Csilla Dr. Molnárné Konyha
PhD student
csilla.konyha@gmail.com
R_NUMB
M_SUCC
R_INT
STRAT
PROD
PROC
err1 err3
err2
err4
err5
1
0,32
0,58
0,22
0,06
1
1
1
1
0,15
0,26
0,17
0,17
0,39
0,54
0,19
0,35
1,20
0,78
0,43
Company Market Competitors
Likelihood of
competitive response
Market
Success Competitive response
intensity
Competitive Response
Brand value
Number of customers
Loyalty
Satisfaction
Royalty and licence fees
Market share
Total profit
Profit margin
Revenue
Awareness
Market Succes
Marketing synergy
Technological synergy
Order of entry
Dedicated human
resources
Dedicated R&D
resources
Firm Strategy
Characteristics
Firm Strategy Characteristics
Product advantage
Product meets
customer needs
Product price
Product technological
sophistication
Product innovativeness
Product
Characteristics
Product Characteristics
Firm Process
Characteristic
Structured approach
Predevelopment task
proficiency
Marketing task
proficiency
Technological
proficiency
Launch proficiency
Reduced cycle time
Market orientation
Customer input
Cross-functional
integration
Cross-functional
communication
Firm Process Characteristics
Senior management
support
Figure 1: Hypothetic model of factors influencing market success of corporate innovation
Source: Compiled by the authors
Figure 2: The empirical model of factors influencing market success of corporate innovation
Source: Compiled by the authors
(CMIN) P=0,062; CMIN/DF=1,997; GFI=0,939; AGFI=0,785; TLI=0,833; CFI=0,933; RMSEA=0,132

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Empirical model of factors influencing market success of innovations in Hungarian context

  • 1. Empirical model of factors influencing market success of innovations in Hungarian context Research problem and objectives Research problem Innovation is one of the most important factors in market success. In the literature there is an abundance of proofs of the above statement.  The positive relationship between marketing and innovation is underlined by Drucker (2008) who wrote that "Because the purpose of business is to create a customer, the business enterprise has two--and only two--basic functions: marketing and innovation. Marketing and innovation produce results; all the rest are costs. Marketing is the distinguishing, unique function of the business.„  Henard and Szymanski (2001) collected 24 drivers of successful new product launches by meta-analysis of the literature of innovation success. However, they did not develop a model of market success of innovation, which is missing in the Hungarian literature, too Objectives Our most important research objectives were • to create the empirical model of factors influencing corporate innovation on the basis of the related literature and our own previous experiences, • to identify the relationships among the elements of the model and • to empirically test our hypothetic model. Conceptualization and operationalization Data collection and analysis Data collection In order to test the hypothetical model, a survey - supported by a questionnaire - was carried out. (This model was chosen because its application is very simple, the data collected are responsible and the respondents are restricted to give pre-determined alternatives. Pre-recorded answers reduce diversity caused by respondents and data coding, analysis and interpreting is relatively simple.)  The population of the sample was made up by companies having R&D activities operating in Hungary. Population size was 1774 companies. Sample frame assigned to population size of the research was provided by the R&D register of the Hungarian Central Statistical Office.  The confidence level of the total sample is 95 percent, its sampling error is ±9,8 percent. The sample size was 94 companies. Analysis Data collection was carried out with telephone interviewing by experienced interviewers prepared for this aim. We carried out univariate, more simple analyses on the sample: frequency tables, means, crosstabs, variance, correlation. Analysis was carried out by Microsoft Excel and AMOS software. The empirical model Research results Hypothetic model was tested by AMOS, in which six variables were defined. Four of them were latent variables:  firm strategy (STRAT), firm process (PROC), product characteristics (PROD) and market success (MSUCC). Furthermore two manifest variables were in the model:  number by competitors (RNUB) and intensity (RINT). According to the results it can be stated, that quality, standard of innovation and product developmental process are determined significantly (RW, Regression Weight=0,578; P=0,000) by firm strategy characteristics, as well as marketing and technological synergy and dedicated human and R&D resources. In our model market success is determined by three factor groups (strategy, process and product characteristics) and on the basis of the results it can be stated that product characteristics have the biggest impact (R.W.=0,54). From our further analyses it is clear that market success of the firm has influence on the number of competitors’ reaction (R.W.=0,193) and intensity (R.W.=0,350) but at the same time the number of reactions also influence reaction intensity to a large extent (R.W.=0,782). Conclusion and implementations  On the basis of our empirical analysis it can be stated that for the sake of successful innovation, coordinating firm strategy characteristics and process characteristics is extremely important because strategy characteristics have very strong influence on process characteristics.  However it is more important to optimise product characteristics that are determined by product advantage, meeting customer needs, competitive price, product technological sophistication and product innovativeness, as these variables have the strongest direct influence on the market success of innovation.  If we would like to achieve market success with innovation, optimization of product characteristics is insufficient because process characteristics and strategic characteristics also have direct impact on market success, although this influence is much weaker than at product characteristics, but their effects are not negligible at all.  Therefore to achieve market success, the optimisation of all the three factor groups is needed. Certainly, successful innovation – proving our assumption - cause strong reactions from the competitors that are signalled by the growth of reaction numbers and their growing intensity. UNIVERSITY OF MISKOLC FACULTY OF ECONOMICS INSTITUTE OF MARKETING Dr. István Piskóti1 – Dr. Szabolcs Nagy2 – Dr. László Molnár3 – Csilla Dr. Molnárné Konyha4 Head of Institute, Head of Department, Associate Professor1 – Head of Department, Associate Professor2 – Assistant Professor3 – PhD student4 University of Miskolc, Faculty of Economics, Institute of Marketing Please visit our website: http://www.marketing-miskolc.hu Dr. István Piskóti Head of Institute Head of Department Associate Professor piskoti@uni-miskolc.hu Dr. Szabolcs Nagy Head of Department Associate Professor marvel@uni-miskolc.hu Dr. László Molnár Assistant Professor marml@uni-miskolc.hu Csilla Dr. Molnárné Konyha PhD student csilla.konyha@gmail.com R_NUMB M_SUCC R_INT STRAT PROD PROC err1 err3 err2 err4 err5 1 0,32 0,58 0,22 0,06 1 1 1 1 0,15 0,26 0,17 0,17 0,39 0,54 0,19 0,35 1,20 0,78 0,43 Company Market Competitors Likelihood of competitive response Market Success Competitive response intensity Competitive Response Brand value Number of customers Loyalty Satisfaction Royalty and licence fees Market share Total profit Profit margin Revenue Awareness Market Succes Marketing synergy Technological synergy Order of entry Dedicated human resources Dedicated R&D resources Firm Strategy Characteristics Firm Strategy Characteristics Product advantage Product meets customer needs Product price Product technological sophistication Product innovativeness Product Characteristics Product Characteristics Firm Process Characteristic Structured approach Predevelopment task proficiency Marketing task proficiency Technological proficiency Launch proficiency Reduced cycle time Market orientation Customer input Cross-functional integration Cross-functional communication Firm Process Characteristics Senior management support Figure 1: Hypothetic model of factors influencing market success of corporate innovation Source: Compiled by the authors Figure 2: The empirical model of factors influencing market success of corporate innovation Source: Compiled by the authors (CMIN) P=0,062; CMIN/DF=1,997; GFI=0,939; AGFI=0,785; TLI=0,833; CFI=0,933; RMSEA=0,132