نوع مقاله : پژوهشی
1 دانشجوی دکتری رشته مدیریت صنعتی دانشگاه آزاد اسلامی واحد تهران جنوب
2 دانشیار دانشگاه صنعتی مالک اشتر
3 استادیار دانشگاه صنعتی مالک اشتر
4 استاد دانشگاه و پژوهشگاه عالی دفاع ملی و تحقیقات راهبردی
عنوان مقاله [English]
Agile innovation means a set of processes, instruments and methods to improve the ability to react quickly to the shifting needs of the market and customers, along with decreasing costs and improving the quality of products and services. The foundation of agile innovation is to align employees and work processes in a homogeneous, interactive and flexible system in order to make them smart and attain dominance. The present study has been conducted with the aim of "planning the agile innovation model of defensive industrial organizations with structural-interpretive modeling and fuzzy dematel modeling". It is an applied research in terms of its purpose, and a descriptive-analytical, survey and correlational one regarding its method. The study population was 80 experts who were selected as the sample based on the Morgan table. Also, 12 experts answered the questionnaire in order to classify and prioritize the factors. The data collection instrument employed in this research was a researcher-made questionnaire including 52 items. Its Cronbach's alpha coefficient was calculated to be 0.920. As the research findings shows, hardware capability, software capability, variation in occupational and technical processes, reconfiguration, improving the quality of products and services, flexibility in product design and production process, competency in designing new products, speed in designing and production of new products, planning of production, capability-orientedness, speed of reaction to new threats and needs, success in meeting current needs, economic and market success, success in creating opportunities and environmental intelligence have close relationship with each other, thus changing each of them will influence other factors as well. Moreover, based on fuzzy dematel output, hardware capability is the most effective factor and environmental intelligence is the most susceptible factor among the other factors.
الف. منابع فارسی
ب. منابع انگلیسی
1. Agarwal, A., Shankar, R. and Tiwari, M.K. (2007). Modeling Agility of Supply Chain. Industrial Marketing Management, 36 (4).
2. Ahmed, P. K., Wang, C. L. (2007). "Dynamic Capabilities: A Review and Research Agenda", The International Journal of Management Reviews, Vol. 9, No. 1, PP 1-43.
3. Armbruster, H; Bikfalvi, A; Kinkel, S; Lay, G (2008). Organizational Innovation: The challenge of measuring non-technical innovation in large-scale surveys. Technovation, 28.
4. Attri, R., Dev, N., Sharma, V. (2013). Interpretive Structural Modelling(ISM) approach: An Overview. Research Journal of Management Sciences, 2(2).
5. Denning, S. (2015). Agile: The World’s Most Popular Innovation Engine. Forbes. Retrieved 8 December 2016 from http://www.forbes.com/sites/stevedenning/2015/07/23/the-worlds-most-popular-innovation-engine/#7ded89852d4c
6. Ernst, U. & Yaung, H. (2017). Attitudes to externally organizing knowledge management tasks: a review, reconsideration and extension of the NIH syndrome. R&D Management, 36 (4).
7. Gebauer, H. Worch, H. & Truffer, B. (2017). Absorptive capacity, learning processes and combinative capabilities as determinants of strategic innovation. European Management Journal, 57-73.
8. Gülsoy, T. (2013). Human resource practices of an emerging-market multinational: Implications for enhancing organizational innovation. 2nd International Conference on Leadership, Technology and Innovation Management. Procedia - Social and Behavioral Sciences, 75.
9. Huang J., Tzeng G. and Ong Ch. (2005). Multidimensional Data in Multidimensional Scaling Using the Analytic Network Process. Pattern Recognition Letters, 26 (6): 755-767.
10. Jackson, M. & Johansson, C. (2013). "An agility analysis from a production system perspective". Integrated Manufacturing Systems. Vol. 14. No. 6.
11. Kaczmarek, D (2014). Strategic orientation if Agile Innovation, Management Science, Vol.37. No.2.
12. Lin, Chi-Jen & Wu, Wei-Wen (2008). A causal analytical method for group decision-making under fuzzy environment, Expert Systems with Applications, Vol. 34.
13. Merriam-Websters Collegiate Dictionary (2004). 11th Edition, Massachusetts : Merriam-Webster Inc.
14. Morris, L., Ma, M., & Wu, P. C. (2014). Agile Innovation: The Revolutionary Approach to Accelerate Success, Inspire Engagement, and Ignite Creativity. Hoboken: John Wiley & Sons.
15. Mortazavi, M.; Rasoli Ghahrodi, M.; Rostami, A. (2017). The Effects of Organizational Innovations and Competitive Cost Leadership Strategy Performance though Competitive Advantages. Journal of Development Evolution Management, 27.
16. Mousakhani M., Gharakhani D. (2013) "Identifyingand ranking of technology transfer factors by MADMtechniques", Journal of Development & Evolution Management, No. 15.
17. Rigby, D.K., Berez, S., Caimi, G, & Noble, A. (2016). Agile Innovation. Bain & Company. Retrieved 8 December 2016 from http://www.bain.com/Images/BAIN_BRIEF_Agile_innovation.pdf
18. Ruiz-Benitez R. and Cambra-Fierro J. (2018). Reverse Logistics Practices in the Spanish SMEs Context. Journal of Operations and Supply Chain Management, 4(1).
19. Taylor, Baroness (2006). Innovation Strategy: Creating a new environment for innovation within the defence supply chain, MOD, UK.
20. Torng Lin, C and et.al (2018). Agility evaluation using fuzzy logic, Int. J. Production Economics, pp.1-16.
21. Williamson, M (1996). Innovation Past and Future in Murray and Millett, New York: Cambridge University Press.
22. Wilson, K., & Doz, Y. L. (2011). Agile innovation: a footprint balancing distance and immersion. California Management Review, 53(2).
23. Yang, CH., & Liu, H. M. (2012). Boosting firm performance via enterprise agility and network Structure. Management Decision, 50 (6).
24. Zain M., Rose, R.C (2005). “Abdullah, I., The relationship between information technology acceptance and organizational agility in Malysia 42.