(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2019)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2018)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2017)
(2016)
(2016)
Special Issue - (2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2016)
(2015)
(2015)
Special Issue - (2015)
(2015)
(2015)
(2015)
(2012)
(2012)
(2012)
Special Issue - (2012)
pp. 2433-2446 | Article Number: ijese.2017.164
Published Online: December 31, 2017
Abstract
In the era of knowledge-based economy, rapidly changing and uncertain business environment, means that the company's biggest challenge. Confrontation with the problem of how to exploit the current market, achieve a competitive advantage. Some researchs suggest that innovation is the most important tool for companies to maintain a competitive advantage from the use. For this purpose, what this research seeks to measure the pattern is innovation. The population of the research staff collected food and roses. 2250 people who use formula cochran sample of 250 individuals were determined. Direction Determine the reliability of the composite reliability 0.92 was used. Factor analysis was used to test the validity of the questionnaire. Using structural equation modeling software to analyze the data lisrel and PLS. Results showed that the pattern Innovation evaluation model was perfect, and indicators needed to measure innovation in the field of research and development and investment 8In knowledge, human resources, innovation policies, performance, innovation, technology and the associated information Global flows Global economy, and productivity and trade classifications, and it was determined that the effect of each of the indicators is positive.
Keywords: innovation, business and productivity, innovation performance, research and development
References
Archibugi D. and Pianta M. (1996). Measuring technological change through patents and innovation surveys; Technovation, 16(9). https://doi.org/10.1016/0166-4972(96)00031-4
Beynon, Malcolm., Jones, Paul., David Pickernell, (2016), Country-level investigation of innovation investment in manufacturing: Paired fsQCA of two models, Journal of Business Research 69 (2016), 5401–5407. https://doi.org/10.1016/j.jbusres.2016.04.145
Bi, K., and Huang, P., Wang, X. (2016). Innovation performance and influencing factors of low-carbon technological innovation under the global value chain: A case of Chinese manufacturing industry, Technological Forecasting & Social Change 111 (2016), 275–284. https://doi.org/10.1016/j.techfore.2016.07.024
Fagerberge, J. (2004). What do we know about innovation? Lessons from the TEARI Project, Center for Technology, Innovation and Culture, University of Oslo.
Ghasemieh, R. and Hashemi, M. (2015). Identifying and measuring the relationships between the variables affecting innovation in industrial companies using fuzzy DEMATEL technique (Case Study of Bushehr Province Petrochemical Companies), Quarterly of Developmental Technology, 11(42).
Hajipour, E., Iranoost, M. and Veisi, C. (2013). A survey on the impact of market orientation on product innovation (case study: manufacturing companies of Sanandaj industrial townership. First national conference on management and accounting in the modern business world, Economics and Culture, Ali Abad Katoul, Islamic Azad University, Aliabad Katoul Branch.
Jafari, N., Rahimian, F. and Mehrabi, A. (2014). The effect of organizational innovation on product innovation, innovative performance and company’s market. Third National Conference on Accounting and Management, Tehran, Narkish Information Institute.
Karshenas, A. and Garousi Mokhtarzadeh, N. (2015). Investigating the effect of technological and non-technological environmental opportunities on product innovation and firm process. International Conference on Management and Humanities, UAE-Dubai.
Malerba, F. (2004). Sectoral Systems of Innovation: Concepts, Issues and Analyses of Six Major Sector in European, Cambridge University Press. https://doi.org/10.1017/CBO9780511493270
Menguc, B. and Auh, S. (2006). Creating a Firm-Level Dynamic Capability through Capitalizing on Market rientation and Innovativeness. Journal of the Academy of Marketing Science. 34, 63-73. https://doi.org/10.1177/0092070305281090
Naranjo-Valenciaa, J. C., Jiménez-Jiménezb, D. and Sanz-Valleba, R. (2015). Studying the links between organizational culture, innovation, and performance in Spanish companies – Departamento, Revista Latinoamericana de Psicología. https://doi.org/10.1016/j.rlp.2015.09.009
Nazarizadeh, F. (2003), Innovation: Familiarity with Process and Models. Defense Technology Policy Research Center, Defense Research and Education Institute.
OECD (2013). Science, Technology and industry scoreboard, innovation for growth, https://doi.org/10.1787/sti_scoreboard-2013-en
Pirastefard, S. (2001). Barriers to innovation in the organization. Management development. 9(3).
Roos. Gran, (2016), Design-Based Innovation for Manufacturing Firm Success in High-Cost Operating Environments, she ji The Journal of Design, Economics, and Innovation Volume 2, Number 1.
Tomlinson, P. R. (2010). Co –operative ties and innovation: som new evidence for UK manufacturing. Research policy, 39, 762-775. https://doi.org/10.1016/j.respol.2010.02.010
Vega-Jurado, J., Gutiérrez-Gracia, A., Fernández-de-Lucio, I. and Manjarrés-Henríquez, L. (2008), The effect of external and internal factors on firms’ product innovation. Research Policy 37 (2008). 616–632. https://doi.org/10.1016/j.respol.2008.01.001
Wang, C. H., Lu, L. Y. and Chen, C. B. (2008). Evaluating firm technological innovation capability under uncertainty, Technovation vol. 28 P: 349-363. https://doi.org/10.1016/j.technovation.2007.10.007
Yamamoto, Y. and Bellgran, M. (2013). Four types of manufacturing process innovation and their managerial concerns, Procedia CIRP 7 (2013) 479–484. https://doi.org/10.1016/j.procir.2013.06.019