Modeling the Factors Affecting the Development of Information Technology-Based Businesses in Iran Using the Structural Equation Method

Document Type : Original Article

Authors

1 Ph.D., Department of Technology Management, School of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

2 Associate Professor, Faculty of Mechanical Engineering, Kashan University, Kashan, Iran

3 Professor, Department of Technology Management, School of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran.

4 Associate Professor, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.

Abstract

Purpose: In recent decades, a significant number of information technology-based businesses have risen to the top of the world's leading companies list. Until the early years of the third millennium AD, large companies and owners of oil wells and mineral resources, along with industrial production complexes that are several decades and several hundred years old, have been the flagships of the list
of the largest and most successful companies in the world. However, this leadership has been astonishingly challenged by IT-based start-ups in the last two decades. The value of the production of information technology businesses from the total production of the world increased by about 29% in approximately 5 years, between 2015 and 2020, reaching $24.615 trillion. The share of the digital economy in the total world economy reached about 25%. In other words, the digital economy has absorbed two and a half percent of the traditional economy in just 5 years. These instances underscore the importance of considering the position of information technology-based businesses. According to the 2018 report of the Ministry of Information Technology, the share of the digital economy in the total gross domestic product of the country is approximately six and a half percent, while the global average of this index is around fifteen percent. This fact highlights the need to focus more on the development of these businesses in the country, which is the rationale for conducting the present research. This research was carried out with the aim of identifying the various dimensions influencing the formation and growth of these businesses and how these factors are interconnected in the country.
Method: The present research was conducted in two distinct stages, qualitative and quantitative. Initially, the problem was identified and defined, followed by a review of previous related studies to identify the main dimensions of the model. Subsequently, a total of 12 in-depth semi-structured interviews were conducted with managers, entrepreneurs, technology policy makers, and information technology experts. Additionally, archival sources were consulted. Through content analysis and the coding method, the research conceptual model was developed, comprising three main categories. In the quantitative phase, the model was refined to form the basis of the research questionnaire. After assessing the content validity, the questionnaire was distributed to three groups within the industry community: 1) managers and executives of relevant businesses, 2) entrepreneurs and business owners, and 3) academic and business experts. Data collected from these questionnaires were analyzed using various statistical tests, and the validity of the model and its structures were confirmed through structural equation modeling.
Findings: After conducting the systematic steps of the research and analyzing the data from the experiences of the participants in the qualitative part of the research, three categories were identified as the main ones: internal organizational characteristics, environmental drivers and obstacles, and political factors. Based on the obtained results, policy factors in this model are an exogenous and independent variable that plays a key role in the development of these businesses. This finding confirms the necessity of the government's presence and adoption of policies to support the development of these businesses. According to the results of this research, another crucial dimension directly affected by government policies is environmental factors. The third category of factors indirectly influenced by government policies includes organizational factors. These factors encompass having the right project team and access to expert human resources, the appropriate business model, a focus on innovation and marketing power, and market penetration power.
Conclusion: By identifying these factors, the path becomes clearer for the government and other policy-making institutions. The development of the digital economy in the country necessitates simultaneous attention to environmental and internal factors. The government, as a key policy maker, plays a crucial role in fostering digital businesses. Activists and entrepreneurs in this sector view financing as a significant bottleneck in business development. Therefore, it is imperative for relevant institutions to prioritize current policies that support these businesses and facilitate financing for them.

Keywords


Amjadi, K. & Shafi'i, A. (2016). The impact of information and communication technology on the indicators of improving the business environment of countries (a mechanism to improve productivity). Productivity Management (Beyond Management), 11(41). [in persian]
Arasti, Z., Pasvishe, F.A. & Motavaseli, M. (2012). Normative institutional factors affecting entrepreneurial intention in Iranian information technology sector. Journal of management and strategy, 3(2).
Chamanski, A. & Waagø, S.J.  (2001). Organizational performance of technology-based firms-The role of technology and business strategies. Enterprise and Innovation Management Studies, 2(3).
Commander, S., Harrison, R. & Menezes-filho, N. (2011). ICT and Productivity in Developing Countries: New Firm-Level Evidence from Brazil and India. Review of Economics and Statistics, 93(2): 528-541.
Davari, A., Rezazadeh, A. (2015). Structural equation modeling with PLS software. Tehran: Academic Center for Education, Culture and Research, third edition. [in persian]
Davodi, N., Akbari, M. & Padash, H. (2015). Identifying and prioritizing factors affecting the success of open innovation in information and communication technology (ICT) companies. Entrepreneurship Development, 9(2). [in persian]
Farahi, A., Fal Suleiman, M., Hajipour, M., Felezi, M. & Haqdoost, N. (2013). Expansion of information technology, government and rural spaces (case study: villages of South Khorasan province). Regional Planning, No. 14. [in persian]
Ghazi Nouri, S., Mokhtarzadeh, N., Abuei, M. & Rashidi Astaneh, M. (2018). Explaining how to play the role of dynamic capabilities in successful knowledge-based small and medium companies (communication and information technology field). Technology Development Management, 7(2). [in persian]
Guba, E.G. & Lincoln, Y.S. )1994(. Competing paradigms in qualitative research. Handbook of qualitative research. CA: Sage.
Hajipour, B., Motmeni, A. & Tayibi Abolhasani, A. (2015). The combination of success factors for the commercialization of products with advanced technology. Innovation Management, 5(4): 19-54. [in persian]
Hajipourfard, H., Soltani, B., Toloui Ashlaghi, A. & Tabatabaian, S.H. (1401). Identifying the key components of developing service businesses based on information technology. Innovation Management, 11(1): 89-114. [in persian]
Hare, S. (2016). For your eyes only: U.S. technology companies, sovereign states, and the battle over data protection. Business Horizons, 59(5).
Hulland, J.S. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic Management Journal, 20(2).
Islamic Council Research Center (2014). A review of information and communication technology policies in the development programs of selected countries. Publications of the Research Center of the Islamic Council. [in persian]
Kazemian, S. & Mardani Shahrbabak, M. (2015). Examining the reasons for failure and success of information technology projects in organizations. Babol: Second National Conference on New Approaches in Management, Economics and Accounting Sciences. [in persian]
Khayatian, M., Tabatabaian, H., Amiri, M. & Eliasi, M. (2013). An analysis of factors affecting the growth and sustainability of knowledge-based companies in Iran. Innovation and Value Creation, 3(2): 57-74. [in persian]
Komijani, A. & Mahmoudzadeh, M. (1387). The role of information and communication technology in economic growth in Iran (growth accounting approach). Economic Research Journal, No. 29. [in persian]
Mahjoub Eshratabadi, H., Mirkamali, S.M., Esmael Menap, Sh. & Mehri, D. (2012). Examining the barriers to the development of information and communication technology in comprehensive state universities and providing appropriate solutions: a survey around Tehran University. Information Technology Management, 5(4). [in persian]
Mazzucato, M. (2016). Entrepreneurial government, criticism of the myths of the private sector
versus the public sector
. Translated by H. Bonus, A. good relationship Cheshme Publications.
[in persian]
Moghimi, S.M. & Hosseinzadeh, M. (2012). Presenting a model to investigate the impact of information technology on organizational productivity with a process-oriented approach (study in the industries of Fars province). Information Technology Management, 5(4): 245-266. [in persian]
Negroponte, N. (1995). Being Digital. Alfred A. knopf, Inc.
Ngwenyama, O. & Morawczynski, O. (2009). Factors Affecting ICT Expansion in Emerging Economies: An Analysis of ICT Infrastructure Expansion in Five Latin American Countries. Information Technology for Development, 15(4): 237-258.
Niromand, P. & Mirjalili, F. (2010). Factors affecting the success of new technology-based companies in Iran. Tehran: Fourth National Technology Management Conference. [in persian]
Mahdavi, H., Fathollah-Bayati, M. & Rasti Barzaki, M. (1387). Examining the success factors of knowledge-based companies. Technology Growth, No. 4. [in persian]
Mardanshahi, M.M. (2016). Investigating factors affecting the development of information technology in agricultural knowledge-based companies. Roshdefanavari, No. 52. [in persian]
Presidential Science and Technology Vice President (2019). Iran digital economy report. By the order of the Digital Economy and Intelligence Headquarters. Sitek Publications. [in persian]
Ramlah, H., Norshidah, M., Norshahriza, A.K. & Abdulrahman, A. (2007). The influence of organizational factors on information systems success in E-Government agencies in Malaysia. EJSIDC, 29(1).
Razavi, S.M., Ramzanpour Nargesi, Q., Haji Hosseini, H. & Akbari, M. (2017). Analysis of the model of the formation of the technological innovation system of gas-powered vehicles in Iran. Technology Development Management, 6(4): 55-87. [in persian]
Salehi Abar, Kh. (2015). The effect of information and communication technology expenditures on the economic growth of D8 member countries. The fourth national conference on management, economics and accounting. [in persian]
Sayeh Miri, A. & Abbas Khani, A. (2018). The effect of information and communication technology on economic growth with the method of meta-analysis. Information Management, 5(9).
[in persian]
Sepherdoost, H. & Khodayi, H. (1389). The effect of information and communication technology on the employment of selected countries of the Organization of Islamic Cooperation. Modern Economy and Business, 5(19-20). [in persian]
Strauss, A.L. & Corbin, J. )1998(. Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory. 2nd Ed. USA: Sage.
Suzanchi Kashani, A., Talebi, S. & Ali Asgari, V. (2013) Investigating the organizational capabilities of four knowledge-based companies in the growth center of Sharif University. Science and Technology Policy, 6(3). [in persian]
United Nations Conference on Trade and Development (2019). Digital economy, value creation and capture: themes for developing countries. UNCTAD 2019 report. Translated by M. Mohammadi, A. Sharifin, Y. Kakavandi and B. Mohammadi. [in persian]
United Nations Development Program (2021). Drawing a map of the innovation ecosystem in the Islamic Republic of Iran. [in persian]
Wetzels, M., Odekerken-Schröder, G. & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS quarterly, 33(1).
World Bank (2019). World Development Report 2019: The Changing Nature of Work. World Bank Group.
CAPTCHA Image