Cooperating for knowledge and innovation performance: the case of selected Central and Eastern European countries
-
Author(s)Solomon GyamfiLink to ORCID Index: https://orcid.org/0000-0002-3258-1095
,
Jan StejskalLink to ORCID Index: https://orcid.org/0000-0003-3015-8274
-
DOIhttp://dx.doi.org/10.21511/ppm.18(4).2020.22
-
Article InfoVolume 18 2020, Issue #4, pp. 264-274
- Cited by
- 621 Views
-
99 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The open innovation concept thrives on knowledge and information flow; their sources for the current innovation performance of the selected Central and Eastern European (CEE) countries have since triggered research interest. This research aimed to explore the different sources of knowledge and information for innovation and the extent to which these different sources contribute to the innovation performance of small and medium-sized enterprises in some selected CEE countries. The study assesses the influence of different knowledge and information sources and their relationships in SMEs engaged in manufacturing activities for innovation performance in the selected CEE countries using structural equation modeling. Data were sourced from the anonymized European Community Innovation Survey (CIS, 2012). The results show that internal sources of information and knowledge from innovative internal activities highly influence SMEs’ innovation performance in these CEE countries. Additionally, SMEs in the selected countries’ sources of information and knowledge influence firm cooperation arrangements. The result is significant for SMEs and policymakers to ensure fostering information and knowledge sharing and support of creating valuable knowledge for innovation, most importantly, in the aftermath of financial and economic crisis.
Acknowledgment
This work was supported by a grant provided by the scientific research project of the Czech Sciences Foundation Grant No. 20-03037S.
- Keywords
-
JEL Classification (Paper profile tab)O30, O38, М31, D83
-
References56
-
Tables4
-
Figures1
-
- Figure 1. Research analytical framework
-
- Table 1. Description of dependent and independent variables
- Table 2. Summary of the construct reliability and validity
- Table 3. Goodness-of-fit
- Table 4. PLS-SEM path coefficient
-
- Atkinson, R., & Wial, H. (2008). Boosting productivity, innovation, and growth through a National Innovation Foundation (8 p.). Washington: Brookings Institution.
- Aydalot, P., & Keeble, D. (Eds.) (2018). High technology industry and innovative environments: the European experience (254 p.). London: Routledge.
- Basit, S. A., & Medase, K. (2019). The diversity of knowledge sources and its impact on firm-level innovation. European Journal of Innovation Management, 22(4), 681-714.
- Bigliardi, B., & Galati, F. (2016). Which factors hinder the adoption of open innovation in SMEs? Technology Analysis & Strategic Management, 28(8), 869-885.
- Braga, V., Gonçalves, A., & Braga, A. (2016). The Portuguese textile industry business cooperation: informal relationships for international entry. The Romanian Review Precision Mechanics, Optics & Mechatronics, 49, 52-60.
- Camagni, R., & Capello, R. (2017). The role of inter-SME networking and links in innovative high technology milieux. In D. Keeble & F. Wilkinson (Eds.), High-technology clusters, networking and collective learning in Europe (pp. 118-155). London: Routledge.
- Chesbrough, H. (2006). The era of open innovation. Managing Innovation and Change, 127(3), 34-41.
- Christensen, J., Hain, D., & Nogueira, L. (2019). Joining forces: collaboration patterns and performance of renewable energy innovators. Small Business Economics, 52(4), 793-814.
- Curley, M. (2016). Twelve principles for open innovation 2.0. Nature, 533(7603), 314-316.
- De Silva, M., Howells, J., & Meyer, M. (2018). Innovation intermediaries and collaboration: Knowledge–based practices and internal value creation. Research Policy, 47(1), 70-87.
- De Zubielqui, G., Lindsay, N., Lindsay, W., & Jones, J. (2019). Knowledge quality, innovation and firm performance: a study of knowledge transfer in SMEs. Small Business Economics, 53(1), 145-164.
- Fernández-Sastre, J., & Reyes-Vintimilla, P. (2020). The influence of the regional context on firms’ innovation patterns: evidence from Ecuador. Technology Analysis & Strategic Management, 32(5), 503-515.
- Fischer, S., & Sahay, R. (2000). The transition economies after ten years (Working Paper No. 7664). National Bureau of Economic Research.
- Grover, V., & Kohli, R. (2012). Co-creating IT value: New capabilities and metrics for multi-firm environments. MIS Quarterly, 36(1), 225-232.
- Gupta, S., & Malhotra, N. (2013). Marketing innovation: a resource-based view of international and local firms. Marketing Intelligence & Planning, 31(2), 111-126.
- Gupta, S., Malhotra, N., Czinkota, M., & Foroudi, P. (2016). Marketing innovation: A consequence of competitiveness. Journal of Business Research, 69(12), 5671-5681.
- Gyamfi, S., & Stejskal, J. (2019a). Does External Knowledge Acquisition and Innovation Performance in Firms? (449 p.). Paper presented at 20th European Conference on Knowledge Management (ECKM). Academic Conferences and Publishing Limited.
- Gyamfi, S., & Stejskal, J. (2019b). University-industry cooperation and firm´s knowledge absorptive capacity nexus. Paper presented at 11th International Conference on Education and New Learning Technologies.
- Hair, J., Hollingsworth, C., Randolph, A., & Chong, A. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
- Hair, J., Hult, G., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).
- Halásková, M., & Bednář, P. (2018). Public research and development in European Union countries evaluation based on selected indicators. Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration, 26(43), 74-86.
- Henseler, J., Hubona, G., & Ray, P. (2016). Using PLS path modelling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2-20.
- Henseler, J., Ringle, C., & Sinkovics, R. (2009). The use of partial least squares path modelling in international marketing. In New challenges to international marketing. Emerald Group Publishing Limited.
- Hudec, O. (2015). Visegrad countries and regions: Innovation performance and efficiency. Quality Innovation Prosperity, 19(2), 55-72.
- Izsak, K., & Radošević, S. (2017). EU research and innovation policies as factors of convergence or divergence after the crisis. Science and Public Policy, 44(2), 274-283.
- Izsak, K., Markianidou, P., Lukach, R., & Wastyn, A. (2013). The impact of the crisis on research and innovation policies (Study for the European Commission DG Research by Technopolis Group Belgium and Idea Consult) (95 p.).
- Jensen, M., Johnson, B., Lorenz, E., & Lundvall, B. (2007). Forms of knowledge and modes of innovation. Research Policy, 36(5), 680-693.
- Klasová, S. (2018). The Role of Agglomeration Economies in the Employment Growth in the Knowledge Intensive Services. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 25(42), 92-103.
- Kotkova Striteska, M., & Prokop, V. (2020). Dynamic Innovation Strategy Model in Practice of Innovation Leaders and Followers in CEE Countries – A Prerequisite for Building Innovative Ecosystems. Sustainability, 12(9), 3918.
- Kozena, M., Striteska, M., & Svoboda, O. (2011). Dynamic balanced scorecard: model for sustainable regional development. Wseas Transactions on Environment and Development, 7(7), 211-221.
- Krammer, S. (2009). Drivers of national innovation in transition: Evidence from a panel of Eastern European countries. Research Policy, 38(5), 845-860.
- Lee, V., Foo, A., Leong, L., & Ooi, K. (2016). Can competitive advantage be achieved through knowledge management? A case study on SMEs. Expert Systems with Applications, 65, 136-151.
- Liu, C. (2018). Examining social capital, organizational learning and knowledge transfer in cultural and creative industries of practice. Tourism Management, 64, 258-270.
- MacGregor, R. (2004). Factors associated with formal networking in regional small business: some findings from a study of Swedish SME’s. Journal of Small Business and Enterprise Development, 11(1), 60-74.
- Meričková, B., Štrangfeldová, J., Muthová, N., & Štefanišinová, N. (2020). Performance Measurement in Education Public Services Based on the Value for Money Concept. Scientific Papers of the University of Pardubice, Series D: Faculty of Economics and Administration, 28(3), 1099.
- Moura, D., Madeira, M., Duarte, F., Carvalho, J., & Kahilana, O. (2019). Absorptive capacity and cooperation evidence in innovation from public policies for innovation. International Journal of Innovation Science, 11(1), 2-19.
- Mukherjee, D., Lahiri, S., Ash, S., & Gaur, A. (2019). Search motives, local embeddedness, and knowledge outcomes in offshoring. Journal of Business Research, 103, 365-375.
- Prokop, V., Stejskal, J., & Hudec, O. (2019). Collaboration for Innovation in Small CEE Countries. E+ M Ekonomie a Management, 22(1), 130.
- Radosevic, S. (2011). Science-industry links in Central and Eastern Europe and the Commonwealth of Independent States: conventional policy wisdom facing reality. Science and Public Policy, 38(5), 365-378.
- Rosdi, I., Noor, A., & Fauzi, N. (2020). External knowledge acquisition and innovation in small and medium-sized enterprises. In Understanding Digital Industry: Proceedings of the Conference on Managing Digital Industry, Technology and Entrepreneurship (CoMDITE 2019) (400 p.). Routledge.
- Santoro, G., Bresciani, S., & Papa, A. (2020). Collaborative modes with cultural and creative industries and innovation performance: the moderating role of heterogeneous sources of knowledge and absorptive capacity. Technovation, 92-93, 102040.
- Santoro, G., Ferraris, A., Giacosa, E., & Giovando, G. (2018). How SMEs engage in open innovation: a survey. Journal of the Knowledge Economy, 9(2), 561-574.
- Srholec, M., & Žížalová, P. (2014). Mapping the geography of R&D: What can we learn for regional innovation policy in the Czech Republic and beyond? European Planning Studies, 22(9), 1862-1878.
- Stejskal, J., Hajek, P., & Prokop, V. (2018). Collaboration and innovation models in information and communication creative industries-The case of Germany. Journal of Information and Communication Technology, 17(2), 191-208.
- Strelcová, S., & Janasová, D. (2018). Clustering small and medium enterprises in the transport industry. Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration, 25(42), 200-210.
- Stříteská, M., Zapletal, D., & Jelínková, L. (2016). Performance management systems in Czech companies: findings from a questionnaire survey. E a M: Ekonomie a Management, 19(4), 44-55.
- Svetina, A., & Prodan, I. (2008). How internal and external sources of knowledge contribute to firms’ innovation performance. Managing Global Transitions, 6(3), 277-299.
- Tödtling, F., & Trippl, M. (2016). How do firms acquire knowledge in different sectoral and regional contexts? In R. Shearmu, Ch. Carrincazeaux, & D. Doloreux (Eds.), Handbook on the Geographies of Innovation. Edward Elgar Publishing.
- Toth, J., Torok, A., & Balogh, J. (2018). Networking theory of innovation in practice. A Pan-European overview based on the Community Innovation Survey. Paper presented at International Association of Agricultural Economists 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia.
- Trippl, M., Grillitsch, M., & Isaksen, A. (2018). Exogenous sources of regional industrial change: Attraction and absorption of non-local knowledge for new path development. Progress in Human Geography, 42(5), 687-705.
- Tsouri, M. (2019). Knowledge transfer in time of crisis: evidence from the Trentino region. Industry and Innovation, 26(7), 820-842.
- Tu, C., Hwang, S., & Wong, J. (2014). How does cooperation affect innovation in micro-enterprises? Management Decision, 52(8), 1390-1409.
- Vicente-Saez, R., Gustafsson, R., & van den Brande, L. (2020). The dawn of an open exploration era: Emergent principles and practices of open science and innovation of university research teams in a digital world. Technological Forecasting and Social Change, 156.
- Von Delft, S., Kortmann, S., Gelhard, C., & Pisani, N. (2019). Leveraging global sources of knowledge for business model innovation. Long Range Planning, 52(5).
- Zawojska, A. (2010). Determinants of farmers’ trust in government agricultural agencies in Poland. Agricultural Economics, 56(6), 266-283.
- Zdražil, P., & Kozuń-Cieślak, G. (2017). The role of cross-border cooperation initiatives in respect of regional development: case study of Euroregion Neisse. Scientific papers of the University of Pardubice. Series D, Faculty of Economics and Administration, 25(2).
-
Factors affecting service quality at Vietnamese retail banks
Tran Phi Hoang
doi: http://dx.doi.org/10.21511/bbs.13(2).2018.04
Banks and Bank Systems Volume 13, 2018 Issue #2 pp. 39-48 Views: 6457 Downloads: 1373 TO CITE АНОТАЦІЯSustainable growth and development can be the most important lesson that banks have learned in recent decades. Banks would gain many benefits, win the competition and develop sustainably if there have been more and more loyal customers. Customer satisfaction will help build customer loyalty. In order to have loyal customers, service quality must be good. Quality customer service of the bank is to ensure customer satisfaction and take their needs into consideration to improve service quality. High customer service quality will generate value not only to meet customer needs but also the expectations of customers and make banks more prominent than their competitors. This study identifies factors that affect customer satisfaction with the service quality at Vietnamese retail banks. The results are obtained by qualitative and quantitative method. The research model with a questionnaire consisting of 22 variables, 5 scales for a survey of 554 customers, is identified and developed through interviews with experts and group discussions. The findings show that customer satisfaction with the service quality at retail banks is influenced by “reliability”, “responsiveness”, “empathy”, “security”, and “tangibles”. Based on the findings, solutions for improving service quality are proposed for Vietnamese retail banks.
-
Human resource management in promoting innovation and organizational performance
I Gede Riana ,
Gede Suparna ,
I Gusti Made Suwandana ,
Sebastian Kot ,
Ismi Rajiani
doi: http://dx.doi.org/10.21511/ppm.18(1).2020.10
Problems and Perspectives in Management Volume 18, 2020 Issue #1 pp. 107-118 Views: 3498 Downloads: 827 TO CITE АНОТАЦІЯHuman resource management (HRM) is one of the elements enabling an organization to remain competitive in turbulence conditions. The effective practice of HRM makes competent and innovative employees contributing to the achievement of organizational objectives. This study aims to analyze HRM practices in creating innovation and organizational performance. The questionnaire was used to measure the respondents’ perceptions of variables used by a Likert scale. A survey of 126 manager samples and middle managers at export-oriented short and medium enterprises (SMEs) in Bali, Indonesia, was conducted to test the model. The analysis has shown that the proposed model was proven to be compliant with the research hypotheses. HRM significantly affects organizational performance and innovation, and it was found out that innovation can improve organizational performance. However, in the process of simultaneous testing, it was found out that innovation cannot improve organizational performance. The lack of attention to investments in human resources became one of the barriers to SMEs in creating innovation.
-
Competitiveness of the information economy industry in Ukraine
Tetiana Ponomarenko ,
Veronika Khudolei ,
Olha Prokopenko ,
Janusz Klisinski
doi: http://dx.doi.org/10.21511/ppm.16(1).2018.08
Problems and Perspectives in Management Volume 16, 2018 Issue #1 pp. 85-95 Views: 2280 Downloads: 644 TO CITE АНОТАЦІЯInformation economy, being the newest type, in the course of formation acquires its distinctive features, which include a significant change in the needs of investors, producers, consumers and other economic relation participants. In order to achieve a competitive information economy, state support for high-tech industries is needed. It is crucial to create a clear legal framework, give boost to the formation of intellectual capital based on other countries' experience. Implementation of the strategy for high-tech industries development in Ukraine is a decisive step in creating a platform for information technology dissemination, creation of new competitive products with high added value. The purpose of the article is to investigate the transformation to the information economy, to analyze the industry competitiveness, to define the opportunities for information sphere improvement. The theoretical aspect of the emergence and formation of the information economy category is studied, the approaches to the defining this economic category and its derivatives have been studied and generalized, essential features of the information type of economic relations have been investigated, and their main components have been determined. In the article, the relationship between the level of information economy development and the competitiveness of domestic enterprises' products has been described, the factors influencing high-tech industries development in Ukraine are considered, and suggestions as for increasing the assistance to the development of knowledge-intensive sectors, including information technology, are proposed.
