Document Type : Original Article


1 PhD student, Department of Information Technology Management, School of Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran

2 Professor, Department of Public Administration, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran


In the era of the Fourth Industrial Revolution, digital technologies have revolutionized businesses, and no business is an exception to this rule. Despite the vital role of project-oriented organizations of Iran's oil and gas industry in the economy Iran, so far no comprehensive research has been conducted to conceptualize digital transformation in these organizations. Therefore, the purpose of this study was to design and verify the conceptual model of digital transformation for these organizations.
The present study is an applied research with an exploratory approach in which a mixed research method has been used. In the qualitative stage, data collection was done through in-depth interviews, sampling by purposeful judgment method, grounded theory was used to analyze the data and fuzzy Delphi technique was used to validate the identified factors. In the quantitative stage, interpretive structural modeling technique was used to design the model, a researcher-made questionnaire was used to collect data, and structural equation modeling based on partial least squares was used to examine the factors relationships and validate the proposed model.
Based on the research findings, the digital transformation model of Project-Based organizations in Iran's oil and gas industry, is a multifaceted systemic process with 53 Factors and 9 Dimensions including Internal Drivers, External Drivers, Industry and Governance Factors, strategic implications of digital transformation, Innovative Use of Digital Technology, Structural and Behavioral Change, Areas for Improvement, Interfering Factors, and consequences of digital transformation. the results of model validation show that the relationships between the components are significant.


[1] Miterev, M., M. Mancini, and R. Turner, Towards a design for the project-based organization. International Journal of Project Management, 2017. 35(3): p. 479-491.
[2] Turner, J.R. and R. Müller, On the nature of the project as a temporary organization. International journal of project management, 2003. 21(1): p. 1-8.
[3] Salehi Taleshi, M. J., Arbabi, H., & Hosseinalipour, M. (2017). Examination of Project Management Office in Project-Based Organizations of Iranian Oil  and Gas Upstream Industry and Its Relationship to Project Success. Journal of Management Improvement, 11(2), 119-143.
[4] Whyte, J., How digital information transforms project delivery models. Project management journal, 2019. 50(2): p. 177-194.
[5] Shahi, C. and M. Sinha, Digital transformation: challenges faced by organizations and their potential solutions. International Journal of Innovation Science, 2020.
[6] Kohli, R. and S. Johnson, Digital Transformation in Latecomer Industries: CIO and CEO Leadership Lessons from Encana Oil & Gas (USA) Inc. MIS Quarterly Executive, 2011. 10(4).
[7] Rouse, W.B., A theory of enterprise transformation. Systems Engineering, 2005. 8(4): p. 279-295.
[8] Ismail, M.H., M. Khater, and M. Zaki, Digital business transformation and strategy: What do we know so far. Cambridge Service Alliance, 2017. 10: p. 1-35.
[9] Rezaian, A., Moghbel Baarz, A., Shahbaz, N., & Moshabaki, A. (2007). Designing Organizational Change Model in Cost Management. Management Research in Iran, 13(2), 159-181
[10] Sebastian, I.M., et al., How big old companies navigate digital transformation, in Strategic Information Management. 2020, Routledge. p. 133-150.
[11] Vial, G., Understanding digital transformation: A review and a research agenda. The journal of strategic information systems, 2019. 28(2): p. 118-144.
[12] Wang, H., Y. Pan, and X. Luo, Integration of BIM and GIS in sustainable built environment: A review and bibliometric analysis. Automation in Construction, 2019. 103: p. 41-52.
[13] Parviainen, P., et al., Tackling the digitalization challenge: how to benefit from digitalization in practice. International journal of information systems and project management, 2017. 5(1): p. 63-77.
[14] Reis, J., et al. Digital transformation: a literature review and guidelines for future research. in World conference on information systems and technologies. 2018. Springer.
[15] Gong, C. and V. Ribiere, Developing a unified definition of digital transformation. Technovation, 2021. 102: p. 102217.
[16] Whyte, J., A. Stasis, and C. Lindkvist, Managing change in the delivery of complex projects: Configuration management, asset information and ‘big data’. International Journal of Project Management, 2016. 34(2): p. 339-351.
[17] Mangla, S.K., et al., Mediating effect of big data analytics on project performance of small and medium enterprises. Journal of Enterprise Information Management, 2020.
[18] Koseoglu, O., B. Keskin, and B. Ozorhon, Challenges and enablers in BIM-enabled digital transformation in mega projects: The Istanbul new airport project case study. Buildings, 2019. 9(5): p. 115.
[19] Walker, D. and B. Lloyd-Walker, The future of the management of projects in the 2030s. International Journal of Managing Projects in Business, 2019.
[20] Marnewick, C. and A. Marnewick, Digital intelligence: A must-have for project managers. Project Leadership and Society, 2021. 2: p. 100026.
[21] Olanipekun, A.O. and M. Sutrisna, Facilitating Digital Transformation in Construction—A Systematic Review of the Current State of the Art. Frontiers in Built Environment, 2021: p. 96.
[22] Zulu, S.L. and F. Khosrowshahi, A taxonomy of digital leadership in the construction industry. Construction Management and Economics, 2021. 39(7): p. 565-578.
[23] Miller, G.J., Digital Assets for Project-Based Studies and Project Management, in Information Technology for Management: Towards Business Excellence. 2020, Springer. p. 3-24.
[24] Shahabi, V., Azar, A., Faezy Razi, F., & Fallah Shams, M. F. (2022). Analysis of factors affecting the development of the banking service supply chain in the Industry 4.0. Management Research in Iran
[25] Danaeifard, H., & Emami, S. M. (2007). Strategies of qualitative research: a reflection on grounded theory. Strategic Management Thought, 1(2), 69-97.
[26] Mirhosseini, S. S., Azar, A., Afsar, A., & Jahanyan, S. (2021). Designing risk control model for enterprise resource planning (ERP) implementation through the Grounded Theory (GT) approach. Management Research in Iran, 23(4), 81-101
[27] Hair, J.F., et al., When to use and how to report the results of PLS-SEM. European business review, 2019.
[28] Strauss, A. and J. Corbin, Basics of qualitative research techniques. 1998.
[29] Wu, C.-H. and W.-C. Fang, Combining the Fuzzy Analytic Hierarchy Process and the fuzzy Delphi method for developing critical competences of electronic commerce professional managers. Quality & Quantity, 2011. 45(4): p. 751-768.
[30] Cheng, C.-H. and Y. Lin, Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation. European journal of operational research, 2002. 142(1): p. 174-186.
[31] Asgharpour MJ., Multiple criteria decision making , Tehran University,2013
[32] Azer A. , Khosravani F. , Jalali R. , Soft operational research, Industrial Management Institute (IMI), 2018