ارزیابی مدل مدیریت تحقیق و توسعۀ هوشمند با رویکرد چابکی در حوزه صنعت پتروشیمی
محورهای موضوعی : مدیریت(منابع انسانی)محبوبه درویش پور 1 , صابر خندان علمداری 2 , غلامرضا هاشم زاده خوراسگانی 3
1 - دانشجوی دکتری گروه مدیریت تکنولوژی ،واحد رودهن، دانشگاه آزاد اسلامی ،رودهن، ایران.
2 - استادیار گروه مدیریت صنعتی ، واحد رودهن، دانشگاه آزاد اسلامی، رودهن، ایران(
3 - دانشیارگروه مدیریت صنعتی، واحد تهران جنوب، دانشگاه آزاد اسلامی، تهران، ایران
کلید واژه: چابکی, مدیریت تحقیق و توسعۀ , هوشمندی,
چکیده مقاله :
بخش تحقیق و توسعۀ، ارگانی لازم و حیاتی برای تمام سازمان‌هایی است که قصد حضور فعال در بازارهای داخلی و خارجی را دارند و جهت رقابت در سطح داخلی و بین‌المللی از اهمیت غیرقابل انکاری برخوردار است و از مهمترین عوامل برای تحقق اهداف سازمان‌ها و صنایع در پیشرفت اقتصادی و دستیابی به بازارهای تجاری می‌باشد. از این رو در این مطالعه به ارزیابی مدل مدیریت تحقیق و توسعۀ هوشمند با رویکرد چابکی پرداخته و برای بررسی این موضوع داده‌ها با استفاده از پرسشنامه گردآوری شده است و با بهره گیری از 270 نفر- که شامل مدیران، استادان، کارشناسان ارشد و کارشناسان شرکت‌های پتروشیمی بوده- مدل مورد برازش قرار گرفته است و سپس داده های حاصل از مدل معادلات ساختاری با کمک روش حداقل مربعات جزئی بوسیلۀ نرم افزار آماری پی ال اس مورد تحلیل قرار گرفته است. نتایج ضرایب مسیر نشان داد: یک رابطه معناداری بین متغیرهای تحقیق وجود داشته و شاخص های ارزیابی برازش مدل نیز نشان داد که مدل مربوطه دارای برازش مناسبی می باشد. از این رو می توان اظهار داشت که مدیریت تحقیق و توسعۀ هوشمند با رویکرد چابکی، سبب بهبود فرایندها، نوآوری، بهینه سازی ارتباطات گردیده و همچنین دارای پیامدهای مالی و رقابتی برای سازمان می باشد.
The research and development department (R&D) is a necessary and vital organ for all organizations that intend to be active in domestic and foreign markets, and it is of undeniable importance for domestic and international competition as one of the most important factors for achieving the goals of organizations and industries in economic progress and access to commercial markets. Hence, in the present study, the intelligent R&D management model was evaluated with an agility approach, and to this end, the data was collected from 270 participants using a questionnaire, including managers, professors, senior experts, and experts of petrochemical companies. Then, the fitted data, obtained from the structural equation model, was analyzed with the help of partial least squares method using PLS statistical software. The results of the path coefficients showed that there is a significant relationship between the research variables and the evaluation indices of the model fit. Also, it was found that the relevant model has a good fit. Therefore, it can be stated that intelligent research and development management with an agility approach has improved processes, innovation, optimized communication, and also has financial and competitive consequences for the organization.
Asghari, M, Khamse, A. Pilehvari, N. (2019), Identifying and prioritizing the components of improving the productivity of research and development capabilities in power plant and energy supply industries, productivity management, 14(55), page 94-118[In Persian]. doi:10.30495/qjopm.2020.1876011.2582
Akbari, M. Ismailzadeh, M.(2013), The role of dynamic capabilities in creating competitive advantage, Business Management Perspective Quarterly, 12(16), 107-127. [In Persian].doi:10.29252/JBMP.12.16.107
Ansari, R, Abdi Sharbiani, A. A, Khayat Khoshdoz, M. (2016), Investigating the impact of technology management activities on organizational agility capabilities, Journal of Production and Operations Management, Year 7, Number 1, Serial 12, Spring and Summer 2015, Pages 191-214[In Persian]. doi: 10.22108/JPOM.2016.20919
AlNuaimi, B. K., Singh, S. K., Ren, S., Budhwar, P., & Vorobyev, D. (2022),Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, 145, 636-648. doi:10.1016/j.jbusres.2022.03.038
Bagheri, S. M, Afzali, Sh. (2014), Investigating the effect of market orientation of managers on gaining competitive advantage in the framework of competitive intelligence dimensions and organizational factors, two quarterly scientific-research journals of business management explorations,6 (11), page 52-27. [In Persian]. doi:20.1001.1.2645386.1393.6.11.2.7
Begüm, A. L. (2022), The Relationship of Information Management and Organizational Agility: An Application on the Banking Sector. OPUS Journal of Society Research, 19(45), 158-170. doi:10.26466//opusjsr.1062874
Bahrami, M. A., Kiani, M. M., Montazeralfaraj, R., Zadeh, H. F., & Zadeh, M. M. (2016), The mediating role of organizational learning in the relationship of organizational intelligence and organizational agility. Osong public health and research perspectives, 7(3), 190-196[In Persian]doi:10.1016/j.phrp.2016.04.007
Ciampi, F., Faraoni, M., Ballerini, J., & Meli, F. (2022), The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives. Technological Forecasting and Social Change, 176, 121383, doi:10.1016/j.techfore.2021.121383
Davari, A., Rezazadeh, A. (2015), Modeling structured transactions with PLS software. Tehran: Academic Jahad Publications, 1-240. [In Persian]
Fathian, M, & Sheikh, A. (2012), Investigating the impact of information technology on the agility of small and medium-sized companies. Scientific Journal of Business Strategies, 9(50), 71-96. [In Persian]
Falahi, M. H.(2018), the impact of information technology on the sustainable competitive advantage of companies, the third national conference on innovation and research in humanities, management and Islamic education, Tehran, https://civilica.com/doc/967592) [In Persian]
George Leal Jamil, (2013), Approaching Market Intelligence concept through a case analysis: Continous knowledge for marketing strategic management and its complementarity to competitive intelligence. Journal.Procedia Technology, Volume 9, pages 463-472. doi:10.1016/j.protcy.2013.12.051
GhalichKhani, R. D., & Hakkak, M. (2016), A Model for Measuring the Direct and Indirect Impact of Business Intelligence on Organizational Agility with Partial Mediatory role of Empowerment (Case Study: Tehran Construction Engineering Organization (TCEO) and ETKA Organization Industries. co). Procedia-Social and Behavioral Sciences, 230, 413-421[In Persian]. doi:10.1016/j.sbspro.2016.09.052
Gonçalves, D., Bergquist, M., Alänge, S., & Bunk, R. (2022). How Digital Tools Align with Organizational Agility and Strengthen Digital Innovation in Automotive Startups. Procedia Computer Science, 196, 107-116, doi:10.1016/j.procs.2021.11.079
Nagesh, D. S., & Thomas, S. (2015). Success factors of public funded R&D projects. Current Science, 108(3), 357-363.
Hamidizadeh, M.R. Peshaabadi, M. Atai, M. Hayati, B. (2014), Investigating a quantitative model of the effect of entrepreneurial marketing dimensions on organizational agility (case of study: private educational centers), Business Administration, Faculty of Management, University of Tehran, Volume 7, Number 3, Autumn, Pages 601-62[In Persian]. Dor: 20.1001.1.20085907.1394.7.3.5.6
Jamali, Gh.R. Fallah, M.(2016), Supply chain agility of businesses supporting oil, gas and petrochemical industry equipment, Scientific-Research Journal of Business Management Explorations, 9th year, 17th issue, spring and summer( 2016 ) [In Persian] doi:10.29252/bar.9.17.31
Molvi, B. Ismailian, M. Ansari, R. (2012), Identification and ranking of organizational agility drivers using FTOPSIS technique and deficit planning, Industrial Management Perspective, No. 5, pages 91 to 114 [In Persian]. doi:10.52547/JIMP.2.1.91
Nemati, M. Khodabakhshi, M. Heydari, A.(2018), The relationship between knowledge management and human resources management and its impact on the competitive advantage of organizations, the 6th National Conference on Management and Humanities Research in Iran, University of Tehran, 6. [In Persian] IICMO06_107
Pooyan Mehr, A. and Bazgir, R.(2018), the effect of technology management on the culture of innovation and competitive advantage, the 13th International Conference on Management and Accounting and the 10th Conference on Entrepreneurship and Open Innovation, Tehran, 1-16. https://civilica.com/doc/897316 . [In Persian]
Qadri Kangavari, S. Arabi, S. M. Heydari, A. Shah Hosseini, M. A. (2018), Presenting a model for managing research and development strategic alliances in Iran's automobile industry, Business Management Quarterly, Volume 11, Number 1, Pages 25-44[In Persian]. doi:10.22059/JIBM.2018.258526.3065
Radfar, R. Khamse, A. (2016), Technology management, a comprehensive approach to technology, innovation and commercialization, scientific and cultural publications, 2, 1-532. [In Persian].
Rahimi, Faraj E. Bagalinejad Shushtri, M. H. Nadaf, M. (2021), Designing a business intelligence model with foundation data approach, scientific journal of intelligent business management studies, 9(34), 247-272. [In Persian]. doi:10.22054/IMS.2020.53545.1760
Soltani, B. (2016), An overview of the position and strategic functions of Iran's petrochemical industries, studies of applied sciences in engineering, third volume, number 1, page 37-51[In Persian].
https://civilica.com/doc/721174
Safarzadeh, H. Bankdarmazandarani, N. Javidi Haq, M. (2009), The role of business intelligence in the effective establishment of strategic management in organizations, Business Management Journal, volume 2, number 5, pages 53 to 83 [In Persian]. https://sid.ir/paper/237844/fa
Tabarsa, Gh. Nazarpuri, A. (2013), Management based on organizational intelligence, Mehrban Nash, first edition, 1-388. [In Persian].
Wu, K. J., Tseng, M. L., Chiu, A. S., & Lim, M. K. (2016). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics. In Press, Corrected Proof. 190, pages 96-107. doi:10.1016/j.ijpe.2016.08.027
XiaoboShen, ,BoqiangLin (2020), Policy incentives, R&D investment, and the energy intensity of China’s manufacturing sector Journal of Cleaner Production Volume 255(3), 120208, doi:10.1016/j.jclepro.2020.120208
Yıldıran, C., Onalan, O., & Onalan, G. O. (2022). Relationship between the Learning Organization and Organizational Agility. In R. Hartono & O. T. Ozturk (Eds.), Studies on Social and Education Sciences 2021 (pp. 33-56). ISTES Organization
Zarrabi, V. Salvati Sarcheshme, B. Mohammadian Khorasani, I. Madah, M. (2014), Evaluation of the state of the information and communication technology sector in terms of technology management components, a comparative study of Iran with 35 selected countries, Rushd Tehnih Quarterly, 44(11), 1-10. [In Persian]. doi:10.7508/jstpi.2015.04.004
Pall Rikhardsson, Ogan Yigitbasioglu, (2018), Business intelligence & analytics in management accounting research: Status and future focus. International Journal of Accounting Information Systems, Volume 29. Pages 37-58. doi:10.1016/j.accinf.2018.03.001