شناسایی و اولویت بندی عوامل مؤثر بر توسعه کسب وکارهای مبتنی بر اینترنت اشیا

نوع مقاله : مقاله پژوهشی (آمیخته )

نویسندگان

1 دانشجوی کارشناسی ارشد ،گروه مدیریت وکار آفرینی ، دانشگاه رازی کرمانشاه،کرمانشاه،ایران

2 گروه مدیریت و کارآفرینی دانشگاه رازی کرمانشاه،کرمانشاه،ایران

چکیده
هدف اصلی این پژوهش، شناسایی و اولویت‌بندی عوامل مؤثر بر توسعه کسب‌وکارهای مبتنی بر اینترنت اشیا (IOT) در ایران است. این پژوهش از نظر هدف کاربردی است وبه لحاظ روش شناسی، از نوع توصیفی پیمایشی است.. پژوهش حاضر به روش تحلیل محتوا و در دو مرحله کیفی و کمی انجام شد. در مرحله کیفی، با بهره‌گیری از مصاحبه‌های نیمه ساختاریافته با 8 نفر از خبرگان حوزه فناوری اطلاعات در پارک‌های علم و فناوری کرمانشاه، و اساتید در دانشگاه‌های مرتبط مشغول به فعالیت بودند، داده‌های موردنیاز جمع‌آوری و تحلیل شدند. دراین مرحله 6 دسته عامل اصلی شامل عوامل مالی-اقتصادی، فناوری، فرهنگی- اجتماعی، سیاسی- قانونی، انسانی، و مدیریتی و هم‌چنین 22 زیر معیار شناسایی شدند. در مرحله کمی، با استفاده از تکنیک تحلیل سلسله مراتبی(AHP) و نرم افزار Expert Choice ، عوامل اولویت بندی شدند. یافته های پژوهش نشان داد در میان عوامل مؤثر بر توسعه کسب‌وکارهای مبتنی بر اینترنت‌اشیا، عامل مالی–اقتصادی بالاترین اولویت را دارد و عامل مدیریتی پایین‌ترین اولویت را به خود اختصاص داد. مقایسه نتایج این پژوهش با پژوهش‌های پیشین نشان‌دهنده هم‌خوانی با یافته‌های جهانی است و همان‌طور که در ایران چالش‌هایی مانند هزینه بالای تجهیزات به دلیل تحریم‌ها، ضعف زیرساخت‌های شبکه و کمبود آگاهی، موانع بهبود این فناوری هستند مطالعات جهانی نیز نشان‌دهنده اهمیت سرمایه گذاری در فناوری و آموزش است ؛ اگرچه در ایران عوامل اقتصادی به دلیل شرایط خاص بازار برجسته‌تر است. در نهایت، پیشنهادات شامل جذب سرمایه گذاران خطرپذیر، تقویت شهرهای هوشمند، و تقویت زیر‌ساخت‌ها ارائه شد.

کلیدواژه‌ها

موضوعات


عنوان مقاله English

Identifying and prioritizing factors affecting the development of IoT-based businesses

نویسندگان English

Zahra Ghanbari gheshlaghi 1
bizhan rezaei 2
Yosef Mohammadifar 2
1 Master's student, Department of Management and Entrepreneurship, Razi University of Kermanshah, Kermanshah, Iran
2 Department of Management and Entrepreneurship, Razi University of Kermanshah, Kermanshah, Iran
چکیده English

Abstract
The main objective of this research is to identify and prioritize factors affecting the development of Internet of Things (IoT)-based businesses in Iran. This research is applicable in terms of purpose, and descriptive and survey in terms of methodology. It was conducted using content analysis method and in two qualitative and quantitative stages. In the qualitative stage, the required data were collected and analyzed by using semi-structured interviews with 8 experts in the field of information technology in Kermanshah science and technology parks and professors working in related universities. In this stage, 6 main factor categories were identified, including financial-economic, technological, cultural-social, political-legal, human, and managerial factors, as well as 22 sub-criteria. In the quantitative stage, the factors were prioritized using the Analytic Hierarchy Process (AHP) technique and Expert Choice software. The research findings showed that among the factors affecting the development of IoT-based businesses, the financial-economic factor has the highest priority, and the managerial factor has the lowest.
Introduction
The evolution of the Internet began with the connection of computers. Later, many computers were connected to each other, creating the World Wide Web. Then, mobile devices were able to connect to the Internet, which led to the mobile Internet technique. People began to use the Internet through social networks. Finally, the idea of ​​connecting everyday objects to the Internet was proposed, which led to IoT technology (Internet of Things). When the concept of such a connection emerged, various companies focused on it and tried to recognize its importance and began to identify its role and future aspects related to it. Then these companies began to invest in this area in different periods but at certain intervals (Korade et al., 2019). From an economic perspective, the Internet of Things can transform business models and provide new solutions for creating added value. Using data generated by IoT devices, digital businesses can better understand customer needs and optimize their products and services (Manyika et al., 2015). Due to the increased productivity resulting from IoT, many advanced countries such as the United States and Japan have developed special strategies for the development of this technology (Lee et al., 2019). According to research, the market size of IoT equipment in 2018 was nearly $2 billion, which is expected to reach more than $11 billion by 2026 (Wang et al., 2021). In Iran, several studies have examined the capabilities of the Internet of Things in various fields and emphasized its importance in economic development and improving productivity (Razavi et al., 2019). Given the increasing importance of the Internet of Things in the future of the digital economy, it is necessary to identify and analyze the key factors affecting the development of businesses related to this technology in a scientific and systematic manner in order to provide a basis for effective planning and policymaking. Despite the efforts made, a review of the research background shows that previous studies have had a limited focus on identifying the factors affecting the development of these types of businesses or have not conducted a comprehensive and structured study of them. The present study seeks to fill this gap and was designed and presented with the aim of providing a scientific framework for it; therefore, this study seeks to answer the question from a perspective different from previous studies: what are the factors affecting the development of IoT-based businesses and what is their priority?
Theoretical Framework
The Internet of Things is a conceptual paradigm that connects billions of Internet-enabled devices to exchange data between themselves and their environment and enable intelligent interactions. This paradigm is a digital-physical infrastructure that establishes a connection between the physical environment and digital systems (Whitmore, 2015).
Ajalli et al., (2023) examined how the Internet of Things affects human resource management in the Fourth Industrial Revolution. This study states that the Internet of Things, as a paradigm in which objects equipped with sensors, actuators, and processors communicate with each other, enables the creation of digital workflows and the simplification of human resource management processes. These findings are important for the development of IoT-based businesses, because using this technology to simplify processes and increase efficiency can help improve organizational performance, including in the field of human resource management.
Rezaei et al., (2022) examined the role of artificial intelligence in optimizing IoT data and its impact on Iranian businesses. The results of this study showed that integrating IoT and artificial intelligence can create a significant competitive advantage for businesses. This study used the Big Data analysis method to examine the effects.
Khan et al., (2024) in a study titled IoT Adoption in the Fourth Industrial Revolution showed that success in implementing IoT requires combining it with complementary technologies such as AI, big data, and cloud computing; and factors such as digital infrastructure, human resource skills, and cybersecurity are influential.
Prasetyo et al., (2023) studied the key success factors in implementing the Internet of Things in Indonesian automotive companies, and the results showed that factors such as strategic alignment with organizational goals, top management support, technology readiness, employee training, supply chain digitization, and the use of smart products play a decisive role in the success of implementing the Internet of Things.
Research Method
This research is applicable in terms of purpose, and descriptive and survey in terms of methodology. It was conducted using the content analysis method. The statistical population of this study included experts and specialists in the field of information and communication technology who were working in companies present in science and technology parks and university growth centers. The statistical sample in the qualitative section included 8 experts and specialists selected from the Kermanshah Science and Technology Park, Kermanshah Innovation Factory, and professors at Razi University of Kermanshah. The sampling method was snowball sampling. The statistical sample in the quantitative part consisted of 15 people, 6 of whom were the same participants in the interview and 9 others were selected from among the experts and specialists and added to them.
Research findings
After a careful and meticulous review of the interviews and content analysis, the main codes and concepts were extracted. The extracted codes were analyzed in the first coding stage and evaluated several times to extract categories from it. After identifying; 6 main factor categories and 22 sub-criteria was obtained, and in the next stage, the Analytic Hierarchy Process (AHP) method was used for quantitative analysis. 15 questionnaires were distributed among the experts, and pairwise comparisons were made with the Expert Choice software.
Conclusion
The results of this study are consistent with the findings of many previous studies. Specifically, the role of economic investment, the importance of technological infrastructure, and the effect of education and awareness on the adoption of the Internet of Things has also been confirmed in the studies of Hossain et al. (2015), Zhang et al. (2021), Li et al. (2020), and Khan et al. (2019). Also, the impact of sanctions and legal problems on the development of this technology in Iran is consistent with the results of Wang et al. (2020). Studies such as Camarinha-Matos et al. (2009) and Sadeghi et al. (2020) also consider the role of organizational cooperation in the success of IoT-based businesses to be similar to the findings of this study.
According to the results of this study, one of the solutions used in the world in the field of IoT businesses and their development is the use of venture capitalists. Despite economic and political problems at the international level prevent the introduction of new technologies and the country's synchronization with them, a country like Iran, which has a large workforce of experts in various fields of information technology; however, needs to find new ways to improve its economy and its position in the international arena; therefore, the importance of the Internet of Things for a country like Iran is obvious and can play a role in all fields. On the other hand, West Asia and North Africa are currently the second largest Internet of Things market, which the UAE, Saudi Arabia and Turkey have taken over. While Iran can be a developer and play a decisive role in the heart of this region and earn significant profits and thereby bypass sanctions.
Iran also has the largest number of metropolises in the Middle East, in which cities such as Tehran, Mashhad, Isfahan, etc. are always struggling with optimal urban management. Becoming smart cities, using smart cars and home appliances connected to the Internet of Things can play a significant role in improving and preventing the problems caused by them.
One of the most important reasons given for the incorrect and late functioning of Internet-connected objects is the slowness in sending them in these fields. By developing smart networks based on the Internet of Things, such problems can be overcome.
Businesses and stakeholders should pay special attention to investing in information and communication technology infrastructure to be able to benefit from the benefits of the Internet of Things. Businesses themselves should pay attention to continuous research and development in the field of the Internet of Things to be able to keep up with rapid technological changes. Designing and implementing training programs for employees and users can help improve their awareness and capabilities in using the Internet of Things.
Creating and strengthening cooperation networks between businesses and different organizations can help exchange information and resources. Businesses should also pay special attention to collecting and analyzing customer feedback to be able to better identify their needs and improve their services. 

کلیدواژه‌ها English

Internet of Things (IoT)
Digital Businesses
Inter-organizational collaboration
Business Development
Abdullah, T., & AlNasri, F. (2021). A systematic review of Internet of Things (IoT) adoption in organizations: Taxonomy, benefits, challenges and critical factors. Applied Sciences, 12(9), Article 4117. https://doi.org/10.3390/app12094117
Alavi, A. H., Jiao, P., Buttlar, W. G., & Lajnef, N. (2018). Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement, 129, 589–606. [In Persian] https://doi.org/10.1016/j.measurement.2018.07.067
Ajalli, M., & Souri, A. (2023). The impact of Internet of Things on human resource management during the fourth industrial revolution. New Approaches in Management and Marketing, 2(1),156 -171. [In Persian]  https://doi.org/10.22034/jnamm.2023.423527.1033
Atzori, L., Iera, A., & Morabito, G. (2010). The Internet of Things: A survey. Computer Networks, 54(15), 2787–2805. https://doi.org/10.1016/j.comnet.2010.05.010
Borgia, E. (2014). The Internet of Things vision: Key features, applications and open issues. Computer Communications, 54, 1–31. https://doi.org/10.1016/j.comcom.2014.09.008
Chaffey, D. (2015). Digital business and e-commerce management: Strategy, implementation and practice (6th ed.). Pearson Education.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
Hakim, I. M., Singgih, M. L., & Gunarta, I. K. (2023). Identifying critical success factors for implementation of Internet of Things (IoT) in Indonesian automotive companies. In MSIE 2023 - 2023 5th International Conference on Management Science and Industrial Engineering (pp. 55–61). Association for Computing Machinery. https://doi.org/10.1145/3603955.3603965
Karimi, H., Amini, M., & Bahmani, H. (2019). Challenges of IoT business development in Iran. Iranian Journal of ICT, 11(2), 34–52. [In Persian]
Karimi, H., Moosavi, S., & Bagheri, M. (2019). Challenges and barriers of IoT-based business development in Iran. Journal of Business Research, 15(2), 47–65. [In Persian]
Kazemi, M., Gholipour, R., & Ebrahimi, A. (2020). Analyzing the impact of IoT on supply chain improvement. Journal of Industrial Engineering, 54(1), 55–72. [In Persian]
Khalili, A., & Norouzi, S. (2021). Analyzing the impact of IoT on the development of SMEs in Iran. Iranian Journal of Entrepreneurship Development, 14(3), 121–139. [In Persian]
Khan, M. A., Zubair, S. S., & Hussain, S. (2024). Adoption of IoT in Industry 4.0: Drivers and challenges. Journal of Industrial and Digital Transformation, 5(1), 1–15.
Korade, S. A., Kotak, V., & Durafe, A. (2019). A review paper on Internet of Things (IoT) and its applications. International Research Journal of Engineering and Technology (IRJET), 6(6), 1623–1630. https://doi.org/10.5281/zenodo.3243411
Laudon, K. C., & Traver, C. G. (2020). E-commerce 2020: Business, technology and society (16th ed.). Pearson Education.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and challenges for enterprises. Business Horizons, 58(4), 431–440. https://doi.org/10.1016/j.bushor.2015.03.008
Liu, L., Chang, C. Y., & Chen, M. (2018). Energy-efficient scheduling for wireless sensor networks in cyber–physical systems. IEEE Transactions on Industrial Informatics, 14(2), 757–766. https://doi.org/10.1109/TII.2017.2751498
Liu, X., Yan, X., & Zhang, Y. (2018). Energy-efficient IoT devices: Challenges and solutions. IEEE Internet of Things Journal, 5(6), 4533–4545. https://doi.org/10.1109/JIOT.2018.2876558
Mahdavinejad, M. S., Rezvan, M., Barekatain, M., Adibi, P., Barnaghi, P., & Sheth, A. (2018). Machine learning for Internet of Things data analysis: A survey. Digital Communications and Networks, 4(3), 161–175. https://doi.org/10.1016/j.dcan.2018.01.002
Manyika, J., Chui, M., Bisson, P., Bughin, J., Woetzel, J., Dobbs, R., & Aharon, D. (2015). The Internet of Things: Mapping the value beyond the hype. McKinsey Global Institute. https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/the-internet-of-things-the-value-of-digitizing-the-physical-world
Mohammadi, M., & Al-Fuqaha, A. (2018). Deep learning for IoT big data and streaming analytics: A survey. IEEE Access, 6, 61701–61720. https://doi.org/10.1109/ACCESS.2018.2873873
Mohammadi, M., Ebrahimi, R., & Habibi, M. (2021). Investigating IoT-based economic development opportunities in Iran. Iranian Journal of Economics and Technology, 12(3), 89–104. [In Persian]
Mohammadi, S., Rahbar, A., & Farahani, B. (2021). Challenges of developing IoT-based businesses in Iran. Journal of Technological Development, 8(1), 22–39. [In Persian]
Pereira, C., & Aguiar, A. (2014). Towards efficient mobile M2M communications: Survey and open challenges. Sensors, 14(10), 19582–19608. https://doi.org/10.3390/s141019582
Pereira, C., & da Silva, M. M. (2014). A study on the governance of Internet of Things. Procedia Technology, 16, 795–804. https://doi.org/10.1016/j.protcy.2014.10.029
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88. https://hbr.org/2014/11/how-smart-connected-products-are-transforming-competition
Prasetyo, Y. T., Syarifuddin, F., Laksana, A. D., & Sucahyo, Y. G. (2023). Key success factors of IoT implementation in Indonesian automotive industry. Sustainability, {MW}15(4), Article 2909. https://doi.org/10.3390/su15042909
Rahimi, M., & Ahmadi, R. (2020). Prioritizing factors affecting the development of IoT businesses using AHP. Technology Development Quarterly, 17(2), 97–113. [In Persian]
Razavi, S. A., Ebrahimi, M., & Nazari, H. (2019). Applications of IoT in Iran’s agricultural sector. Journal of Agricultural Technology Development, 7(3), 88–101. [In Persian]
Razavi, S. M., Afshar, A., & Shafiei, M. (2019). Potentials of IoT in smart agriculture and healthcare in Iran. Science and Technology Policy, 11(1), 33–52. [In Persian]
Rojko, A. (2019). Industry 4.0 and the Internet of Things: Challenges and opportunities for businesses. Advances in Production Engineering & Management, 14(4), 403–414. https://doi.org/10.14743/apem2019.4.341
Shahabi, A., Anbiyaei, M. R. (2024). Internet of Things in the organizational architecture of motorcycle after-sales service companies (case study: Kavir Motor). New Approaches in Management and Marketing, 2(2), 87-99. [In Persian]  https://doi.org/10.22034/jnamm.2024.383334.1003های
Sicari, S., Rizzardi, A., Grieco, L. A., & Coen-Porisini, A. (2015). Security, privacy and trust in Internet of Things: The road ahead. Computer Networks, 76, 146–164. https://doi.org/10.1016/j.comnet.2014.11.008
Solomon, M. R. (2016). Consumer behavior: Buying, having, and being (10th ed.). Pearson Education. ISBN: 978-0134129938
Wang, W., Li, X., & Zhang, X. (2021). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE Access, 9, 123456–123478. https://doi.org/10.1109/ACCESS.2021.3106789
Whitmore, A., Agarwal, A., & Xu, L. D. (2015). The Internet of Things—A survey of topics and trends. Information Systems Frontiers, 17(2), 261–274. https://doi.org/10.1007/s10796-014-9489-2
Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of Things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32. https://doi.org/10.1109/JIOT.2014.2306328 

  • تاریخ دریافت 17 فروردین 1404
  • تاریخ بازنگری 09 اردیبهشت 1404
  • تاریخ پذیرش 07 خرداد 1404