The objective of the research was to study innovation patterns within service and manufacturing c... more The objective of the research was to study innovation patterns within service and manufacturing companies. The study was performed on 173 Slovenian service and manufacturing companies. The statistical analysis was accomplished in 2 phases. The first phase encompassed principal component analysis. In the 2nd phase, a series of statistical tests were applied to compare the actual encouragement of the innovation factors within both sectors. Interestingly, only few significant differences among the factors’ mean values in service and manufacturing sector were identified as to the statistical tests. Also, it was indicated that the advantage of the manufacturing sector in results achieved may be rather of degree than of a kind. Unexploited potential was indicated in particularly in terms of systemic conditions and making use of innovation triggers. Consequently, in comparison with EU’s most innovative countries (e.g. Germany), both sectors demonstrated a significant lag in the number of i...
The aim of our research was to design a “Reference Innovation Model”, presenting the most importa... more The aim of our research was to design a “Reference Innovation Model”, presenting the most important set of innovation factors, and their concrete values related to innovation and business performance. The Model is based on the analysis of the most innovative companies and provides concrete guidelines as to how the existing state may be improved. The focus was made on the largest economy sector in Slovenia, i.e. low and medium-low processing companies (henceforth referred to as the NTP). The analysis was performed in three phases. In Phase 1, companies were classified into the groups pursuant to their innovation performance (Non-Innovators, Innovation Followers and Innovation Leaders). The Phase 2 confirmed that the Innovation Leaders are also the most successful group as regards business performance. Finally, (Phase 3) the Reference Innovation Model was drawn up. The Model indicates that both appropriate innovation inputs (investments) and effective innovation process are related wi...
Purpose – This paper aims to analyse whether and how the Development Plan and Policies of Sloveni... more Purpose – This paper aims to analyse whether and how the Development Plan and Policies of Slovenian Tourism (SiPlan) could be improved systematically and systemically, enabling more comprehensive management of innovation. Design/methodology/approach – The data were obtained within a comprehensive national innovation study. Data analysis was performed in four phases. In the initial phase, a link between the innovation project and SiPlan was established. In the next phase, which of the innovation factors are significantly correlated with the tourism destination development concept was identified. In the third phase, further policy potential for improving the innovation factors was identified. In the last phase, a systems approach was applied to develop a qualitative systems model, a causal loop diagram, taking into consideration the empirically identified strengths and weaknesses of the current SiPlan and other pertinent factors. Findings – The results of empirical research indicate t...
The study is aimed at the identification of most influential innovation factors on innovativeness... more The study is aimed at the identification of most influential innovation factors on innovativeness and hence economic results of Slovenian service companies. The research was conducted in three phases. First (Phase 0), we obtained and prepared the necessary data for the statistical analysis. In Phase 1 we were interested in assessing the current state of innovation management within companies. In Phase 2 we studied the relations among various variables, corresponding to the invention-innovation processes. The results show innovation factors (particularly Innovation and Market Policy factor) to be positively and statistically significantly influential on both, the innovation and overall company performance. Interestingly, the results also reveal an innovation “follower” pattern in the service companies. Scientific contribution of our study is demonstrated in the methodology of a comprehensive address of innovation factors and related scientific findings thereof, important also in the ...
The aim of the paper was to identify HRM factors associated with the innovativeness in the public... more The aim of the paper was to identify HRM factors associated with the innovativeness in the public sector of the Eastern European emerging market economies (hereinafter: EEEME). The initial phase of the research consisted of data acquisition. We used microdata from the European Working Conditions Survey (EWCS). In the second phase, we divided the EEEME sample into two groups: innovators (at least one novelty introduced in the last three years) and non-innovators (no novelties introduced in the last three years). Finally, in the third phase, a t-test was applied identifying the main HRM factors, which separate the innovators from the non-innovators. The results show a majority of HRM factors by EEEME non-innovators are lacking proper support. At the same time, a positive correlation between HRM factors and EEEME innovation results was indicated. Consequently, proper HRM may be seen as critical when improving the innovativeness of the EEEME public sector.
The objective of the research was to study innovation patterns within service and manufacturing c... more The objective of the research was to study innovation patterns within service and manufacturing companies. The study was performed on 173 Slovenian service and manufacturing companies. The statistical analysis was accomplished in 2 phases. The first phase encompassed principal component analysis. In the 2nd phase, a series of statistical tests were applied to compare the actual encouragement of the innovation factors within both sectors. Interestingly, only few significant differences among the factors’ mean values in service and manufacturing sector were identified as to the statistical tests. Also, it was indicated that the advantage of the manufacturing sector in results achieved may be rather of degree than of a kind. Unexploited potential was indicated in particularly in terms of systemic conditions and making use of innovation triggers. Consequently, in comparison with EU’s most innovative countries (e.g. Germany), both sectors demonstrated a significant lag in the number of i...
The aim of our research was to design a “Reference Innovation Model”, presenting the most importa... more The aim of our research was to design a “Reference Innovation Model”, presenting the most important set of innovation factors, and their concrete values related to innovation and business performance. The Model is based on the analysis of the most innovative companies and provides concrete guidelines as to how the existing state may be improved. The focus was made on the largest economy sector in Slovenia, i.e. low and medium-low processing companies (henceforth referred to as the NTP). The analysis was performed in three phases. In Phase 1, companies were classified into the groups pursuant to their innovation performance (Non-Innovators, Innovation Followers and Innovation Leaders). The Phase 2 confirmed that the Innovation Leaders are also the most successful group as regards business performance. Finally, (Phase 3) the Reference Innovation Model was drawn up. The Model indicates that both appropriate innovation inputs (investments) and effective innovation process are related wi...
Purpose – This paper aims to analyse whether and how the Development Plan and Policies of Sloveni... more Purpose – This paper aims to analyse whether and how the Development Plan and Policies of Slovenian Tourism (SiPlan) could be improved systematically and systemically, enabling more comprehensive management of innovation. Design/methodology/approach – The data were obtained within a comprehensive national innovation study. Data analysis was performed in four phases. In the initial phase, a link between the innovation project and SiPlan was established. In the next phase, which of the innovation factors are significantly correlated with the tourism destination development concept was identified. In the third phase, further policy potential for improving the innovation factors was identified. In the last phase, a systems approach was applied to develop a qualitative systems model, a causal loop diagram, taking into consideration the empirically identified strengths and weaknesses of the current SiPlan and other pertinent factors. Findings – The results of empirical research indicate t...
The study is aimed at the identification of most influential innovation factors on innovativeness... more The study is aimed at the identification of most influential innovation factors on innovativeness and hence economic results of Slovenian service companies. The research was conducted in three phases. First (Phase 0), we obtained and prepared the necessary data for the statistical analysis. In Phase 1 we were interested in assessing the current state of innovation management within companies. In Phase 2 we studied the relations among various variables, corresponding to the invention-innovation processes. The results show innovation factors (particularly Innovation and Market Policy factor) to be positively and statistically significantly influential on both, the innovation and overall company performance. Interestingly, the results also reveal an innovation “follower” pattern in the service companies. Scientific contribution of our study is demonstrated in the methodology of a comprehensive address of innovation factors and related scientific findings thereof, important also in the ...
The aim of the paper was to identify HRM factors associated with the innovativeness in the public... more The aim of the paper was to identify HRM factors associated with the innovativeness in the public sector of the Eastern European emerging market economies (hereinafter: EEEME). The initial phase of the research consisted of data acquisition. We used microdata from the European Working Conditions Survey (EWCS). In the second phase, we divided the EEEME sample into two groups: innovators (at least one novelty introduced in the last three years) and non-innovators (no novelties introduced in the last three years). Finally, in the third phase, a t-test was applied identifying the main HRM factors, which separate the innovators from the non-innovators. The results show a majority of HRM factors by EEEME non-innovators are lacking proper support. At the same time, a positive correlation between HRM factors and EEEME innovation results was indicated. Consequently, proper HRM may be seen as critical when improving the innovativeness of the EEEME public sector.
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Papers by Marko Ropret