Identifying the Dimensions Affecting on the Willingness of Isfahan Steel Company Employees for Technological Innovation

Subject Areas : Strategic Management Researches

habib zare ahmadabadi ¹ , keyvan ghasemi ² , ali saffari darberazi ³ , davood endelib ardakani ⁴

1 - Assistant Professor in Industrial Management, Yazd University
2 - MA in Executive Management (Production and Operations), Yazd University
3 - Assistant Professor in Industrial Management, Yazd University of Applied Science and Technology (UAST), Yazd, Iran.
4 - Assistant Professor, Faculty of Economics, Management and Accounting. Yazd University

Received: 2020-11-23 Accepted : 2021-01-25 Published : 2021-05-22

Keywords: Fuzzy Cognitive Map, Technological innovation, structural equation modeling, Technological innovation capabilities,

Abstract :

For organizations that compete in a changing and uncertain environment, innovation is critical to the growth, success, and survival of the organization. The purpose of this study was to investigate the effect of technological innovation capabilities on employees' willingness to innovate in Isfahan Zob Ahan Company. after reviewing the research background, 11 dimensions were extracted. The data of this study were collected through a questionnaire. For analyzing the data, structural equation modeling with partial least squares approach was used which, given that a significant number of hypotheses were not approved, were returned to the industry for reconsideration reasons and interviews with selected individuals were formed from different levels of organization. The staff members introduced issues such as meritocracy, planning for a career path for individuals, and alignment of staff and managers, which, in their view, could affect the employees' willingness to innovate technologically. In the last step, using the data obtained from the questionnaire and Excel software, the correlation matrix was extracted and used as input of the FCMapper software. Then we introduced the FCMapper output in the Pajek software to draw a fuzzy cognitive map. Based on the research findings, the dimensions of research and development capability, strategic planning capability and organizational capability with the highest degree of centrality were identified. Also, in order to improve the research hypotheses, four scenarios have been studied and analyzed.

References:

 چرخچی، رکسانه ، طلوعی، عباس و البرزی، محمود، (1398). طراحی مدل پویا برای ارزیابی استراتژیک نوآوری با رویکرد سناریوهای چندگانه، فصلنامه پژوهش های مدیریت راهبردی، ۲۵ (72)، ۱۳-۴۰. 

صفاری دربرزری، علی، مالکی نژاد، پوریا، ضیاییان، مهران و اژدری، علی، (1399). طراحی مدل جامع تاب­آوری بیمارستانی در مواجه با بیماری کرونا. نشریه مدیریت سلامت، شماره 2، 88-76.

ضرغامی، حمیدرضا، مصطفی، جعفری و اخوان، پیمان، (1391). بررسی رابطه بین خلاقیت و انگیزه افراد برای نوآوری در سازمان‌های پژوهشی ( مطالعه موردی در پژوهشکده پردازش هوشمند علائم)، مجله ابتکار و خلاقیت در علوم انسانی. شماره4، 64-37.

طالب پور، علیرضا و احمدی، صدرا، (1388). ارزیابی هوشمندانه نقشه شناختی فازی. مجله چشم‌انداز مدیریت، شماره 30، 28-9.

گروسی مختارزاده، نیما و زمانی، محمود، (1394). تبیین تأثیر بازارگرایی و نوآوری مدیریت بر عملکرد بنگاه با تاکید بر نقش میانجی نوآوری فناورانه،‎ نشریه علمی- پژوهشی مدیریت بازرگانی، شماره 7، 484-463.

منطقی، منوچهر، خسروپور، حسین و خانی، مرتضی، (1392). رتبه‌بندی عوامل مؤثر بر نوآوری در موسسه مطالعات و پژوهش‌های بازرگانی، فصلنامه علمی- پژوهشی مدیریت صنعتی دانشگاه آزاد اسلامی، شماره 8، 61-47.

مهرگان، محمدرضا و سیدکلایی، نادر، (1391). بررسی ارتباط میان عوامل مؤثر بر ترک خدمت دانشگران ICT در صنعت ارتباطات همراه ایران با استفاده از متدولوژی نقشه‌های شناختی فازی، مجله پژوهش‌های مدیریت عمومی، شماره 5 ، 44-25.

میرفخرالدینی، سید حیدر ، عندلیب اردکانی، داوود و  جمشیدی، نسرین (1399). بررسی ساختار داخلی مدل تعالی EFQM با رویکرد ترکیبی نگاشت شناختی فازی و مدل سازی معادلات ساختاری در صنایع کاشی و سرامیک استان یزد، فصلنامه پژوهش‌های مدیریت راهبردی، ۲۶ (76)، ۵۹-۸۰.

 

Akbari, M., Khodayari, M., Khaleghi, A., Danesh, M. & Padash, H (2020). Technological innovation research in the last six decades: a bibliometric analysis. European Journal of Innovation Management.

Anderson, N., Potočnik, K & Zhou, J (2014). Innovation and creativity in organizations: A state-of-the-science review, prospective commentary, and guiding framework. Journal of Management, 40(5), 1297–1333.

Azar, G & Ciabuschi, F (2017). Organizational innovation, technological innovation, and export performance: The effects of innovation radicalness and extensiveness. International Business Review, 26(2), 324–336.

Camisón, C & Villar-López, A (2014). Organizational innovation as an enabler of technological innovation capabilities and firm performance. Journal of Business Research, 67(1), 2891–2902.

Chiesa, V (2001). R&d Strategy & Organisation: Managing Technical Change In Dynamic Contexts (Vol. 5). World Scientific.

Daft, R. L., Murphy, J., & Willmott, H. (2010). Organization theory and design: Cengage learning. Inc., Hampshire.

Damanpour, F (1992). Organizational size and innovation. Organization Studies, 13(3), 375–402.

Dziallas, M  & Blind, K (2019). Innovation indicators throughout the innovation process: An extensive literature analysis. Technovation, 80, 3–29.

Guan, J., & Ma, N. (2003). Innovative capability and export performance of Chinese firms. Technovation, 23(9), 737–747.

Haneda, S  & Ito, K (2018). Organizational and human resource management and innovation: Which management practices are linked to product and/or process innovation? Research Policy, 47(1), 194–208.

Harel, R., Schwartz, D., & Kaufmann, D. (2020). Organizational culture processes for promoting innovation in small businesses. EuroMed Journal of Business.

Hughes, D. J (2018). Psychometric validity: Establishing the accuracy and appropriateness of psychometric measures. The Wiley Handbook of Psychometric Testing: A Multidisciplinary Approach to Survey, Scale and Test Development. Chichester, UK: Wiley, 751–779.

Hulland, J (1999). Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strategic Management Journal, 20(2), 195–204.

Inigo, E. A  & Albareda, L (2019). Sustainability oriented innovation dynamics: Levels of dynamic capabilities and their path-dependent and self-reinforcing logics. Technological Forecasting and Social Change, 139, 334–351.

Jetter, A  & Schweinfort, W (2011). Building scenarios with Fuzzy Cognitive Maps: An exploratory study of solar energy. Futures, 43(1), 52–66.

Ke-xin, B., De-hua, S., Ren-feng, Z  & Bai-zhou, L (2006). The construction of synergetic development system of product innovation and process innovation in manufacturing enterprises. 2006 International Conference on Management Science and Engineering, 628–636. IEEE.

Khan, Z., Hussain, M., Shahbaz, M., Yang, S & Jiao, Z (2020). Natural resource abundance, technological innovation, and human capital nexus with financial development: a case study of China. Resources Policy, 65, 101585.

Lafuente González, E. M., Solano, A., Leiva Bonilla, J. C  & Mora-Esquivel, R (2019). Determinants of innovation performance: exploring the role of organisational learning capability in knowledge-intensive business services (KIBS) firms. Academia-Revista Latinoamericana de Administracion, 32(1), 40–62.

Lai, Y.-L., Hsu, M.-S., Lin, F.-J., Chen, Y.-M. & Lin, Y.-H (2014). The effects of industry cluster knowledge management on innovation performance. Journal of Business Research, 67(5), 734–739.

Lau, A. K. W., Yam, R. C. M., & Tang, E. P. Y. (2010). The impact of technological innovation capabilities on innovation performance. Journal of Science and Technology Policy in China.

Lee, A., Legood, A., Hughes, D., Tian, A. W., Newman, A., & Knight, C. (2020). Leadership, creativity and innovation: A meta-analytic review. European Journal of Work and Organizational Psychology, 29(1), 1–35.

Lee, V.-H., Ooi, K.-B., Chong, A. Y.-L., & Sohal, A. (2018). The effects of supply chain management on technological innovation: The mediating role of guanxi. International Journal of Production Economics, 205, 15–29.

Makadok, R. (2001). Toward a synthesis of the resource‐based and dynamic‐capability views of rent creation. Strategic Management Journal, 22(5), 387–401.

Markard, J., Raven, R., & Truffer, B. (2012). Sustainability transitions: An emerging field of research and its prospects. Research Policy, 41(6), 955–967.

North, D. C., & Wallis, J. J. (1994). Integrating institutional change and technical change in economic history a transaction cost approach. Journal of Institutional and Theoretical Economics (JITE)/Zeitschrift Für Die Gesamte Staatswissenschaft, 150(4), 609–624.

Ortega, M. J. R. (2010). Competitive strategies and firm performance: Technological capabilities’ moderating roles. Journal of Business Research, 63(12), 1273–1281.

Pan, X., Ai, B., Li, C., Pan, X., & Yan, Y. (2019). Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China. Technological Forecasting and Social Change, 144, 428–435.

Pan, X., Uddin, M. K., Han, C., & Pan, X. (2019). Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh. Energy, 171, 456–464.

Pažėraitė, A., Bobinaitė, V., Galinis, A., & Lekavičius, V. (2020). Combined Effects of Energy Sector Development: Assessing the Impact on Research and Innovation. Journal of Cleaner Production, 124682.

Radas, S., & Božić, L. (2009). The antecedents of SME innovativeness in an emerging transition economy. Technovation, 29(6–7), 438–450.

Ramayah, T., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. In An Updated Guide and Practical Guide to Statistical Analysis. Pearson.

Rauter, R., Globocnik, D., Perl-Vorbach, E., & Baumgartner, R. J. (2019). Open innovation and its effects on economic and sustainability innovation performance. Journal of Innovation & Knowledge, 4(4), 226–233.

Razavi, S. M. H., Ramezanpoor Nargesi, G., Hajihoseini, H., & Akbari, M. (2016). The impact of technological innovation capabilities on competitive performance of Iranian ICT firms. Iranian Journal of Management Studies, 9(4), 855–882.

Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management Journal, 37(3), 580–607.

Sharma, D. (2016). Enhancing customer experience using technological innovations. Worldwide Hospitality and Tourism Themes.

Singh, D., Khamba, J. S., & Nanda, T. (2017). Influence of technological innovation on performance of small manufacturing companies. International Journal of Productivity and Performance Management.

Taylor, A., & Greve, H. R. (2006). Superman or the fantastic four? Knowledge combination and experience in innovative teams. Academy of Management Journal, 49(4), 723–740.

van der Loos, H. Z. A., Negro, S. O., & Hekkert, M. P. (2020). International markets and technological innovation systems: The case of offshore wind. Environmental Innovation and Societal Transitions, 34, 121–138.

Wadin, J. L., Ahlgren, K., & Bengtsson, L. (2017). Joint business model innovation for sustainable transformation of industries–A large multinational utility in alliance with a small solar energy company. Journal of Cleaner Production, 160, 139–150.

Watts, L. L., Steele, L. M., & Den Hartog, D. N. (2020). Uncertainty avoidance moderates the relationship between transformational leadership and innovation: A meta-analysis. Journal of International Business Studies, 51(1), 138–145.

Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 177–195.

Yam, R. C. M., Guan, J. C., Pun, K. F., & Tang, E. P. Y. (2004). An audit of technological innovation capabilities in Chinese firms: some empirical findings in Beijing, China. Research Policy, 33(8), 1123–1140.

Yam, R. C. M., Lo, W., Tang, E. P. Y., & Lau, A. K. W. (2011). Analysis of sources of innovation, technological innovation capabilities, and performance: An empirical study of Hong Kong manufacturing industries. Research Policy, 40(3), 391–402.

Zhang, Y., Khan, U., Lee, S., & Salik, M. (2019). The influence of management innovation and technological innovation on organization performance. A mediating role of sustainability. Sustainability, 11(2), 495.