Providing a policymaking for Emerging Technologies In Case of Internet of Things

Document Type : Original Article

Authors

1 Department of Management, Faculty of Humanities, Saveh Branch, Islamic Azad University, Saveh, Iran

2 Department of Human Resource Management, Faculty of Management and Strategic Planning, Imam Hossein (AS) University, Tehran, Iran

Abstract

Despite the emergence of new technologies, especially the Internet of Things, whose use is increasingly growing in many fields, there is not enough knowledge of its concepts, fields, applications, and effective categories. For example, it is not possible to see a general policy for using these new approaches. Based on this research gap, this research was done with the aim of providing a policy for new digital technologies in general and the Internet of Things in particular. Considering the limited literature and the lack of theories for developing comprehensive policies in the field of using the Internet of Things, qualitative content analysis approach was used in this research. So that by examining the theoretical foundations and experimental foundations in the field of digital technologies, we try to extract the hidden key concepts and subsequently determine the sub-categories and the main categories, in order to obtain indicators in achieving a policy for the Internet of Things. , action was taken. For this purpose, with a systematic review of the literature and with the help of metasynthesis qualitative research method, all the key indicators for public policy in the Internet of Things were identified and classified; In the two steps of the meta-composite research, the following results were obtained: in the first step, the meta-composite research was conducted in-depth review of previous studies, and in the second step, the meta-composite research was conducted using coding techniques (based on qualitative content analysis) to 78 sub-categories and 8 main categories were determined and the proposed policy can be used as a basis by managers and policy makers based on three contextual, strategic and interventional factors.

Keywords


  • منابع

    الف- فارسی

    • اکبرزاده جهرمی؛ سید جمال‌الدین (1395). «پیامدهای همگرایی اینترنت و تلویزیون بر سیاست‌گذاری رسانه‌ای در ایران»، فصلنامه مطالعات فرهنگ-ارتباطات، 17 (34)، 7-45.
    • بهمنی، اکبر؛ خادمی کله‌لو، محمد؛ مهری، داریوش؛ و بارانی، صمد (1398). «ارائه الگوی سیاست‌گذاری توسعه فناوری اطلاعات در دانشگاه‌های افسری آجا»، فصلنمه مدیریت نوآوری در سازمان‌های دفاعی، 2 (4)، 51-78.
    • تقوی‌فرد، محمدتقی؛ وفادار، زهرا؛ رحیمی، مهدی؛ و آقایی، مجتبی (1395). «تحلیلی بر چرخه انسجام سیاستی در نظام حکمرانی فناوری اطلاعات و ارتباطات ایران»، فصلنامه مطالعات مدیریت کسب‌وکار هوشمند، 4 (16)، 1-33.
    • زیبنده، حسین (1399). «دستور کار پژوهش‌های خط‌مشی در حوزه حکمرانی اینترنت اشیا»، فصلنامه سیاست‌نامه علم و فناوری، 10 (3)، 19-33 .
    • یامی، نگار؛ قیصری، محمد (1395). «مدیریت بحران با سیاست‌گذاری فناوری اینترنتی از اشیا (IOT)». کنفرانس پدافند غیرعامل و توسعه پایدار، تهران: وزارت کشور.

     

    ب- انگلیسی:

    • Agarwala, N. (2021). “Role of policy framework for disruptive technologies in the maritime domain”, Australian Journal of Maritime & Ocean Affairs,14 (2), 1-20.‏
    • Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). “IoT: A survey on enabling technologies, protocols, and applications”. IEEE communications surveys & tutorials, 17(4), 2347-2376.
    • Al-Zihad, M., Akash, S. A., Adhikary, T., & Razzaque, M. A. (2017). “Bandwidth allocation and computation offloading for service specific IoT edge devices”. In: 2017 IEEE Region 10 Humanitarian Technology Conference (R10-HTC)(pp. 516-519). IEEE.
    • Antunes, F., Ribeiro, B., Pereira, F., & Gomes, R. (2017). Activelearning metamodels for transportation simulators. Cisuc Technical Report.
    • Chen, J., Walz, E., Lafferty, B., McReynolds, J., Green, K., Ray, J., & Mulvenon, J. (2018). China's Internet of Things. SOSi ‏Special Programs Division (SPD), U.S.-China economic security review commission, Vienna.
    • Coro, G., Panichi, G., Scarponi, P., & Pagano, P. (2017). “Cloud computing in a distributed e‐infrastructure using the web Processing Service standard ”, Concurrency and Computation: Practice and Experience, Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cpe, 29 (18) e4219, 1-22.
    • Gigli, M., & Koo, S. G. (2011). “Internet of Things: Services and Applications Categorization”. Adv. Internet of Things, 1 (2), 27-31.
    • Gomez,& Paradells, J. (2010). “Wireless home automation networks:A surveyof architectures and technologies”.  IEEE Communications Magazine, 48 (6), 92-101.
    • Guth, J., Breitenbücher, U., Falkenthal, M., Leymann, F., & Reinfurt, L. (2016). “Comparison of IoT platform architectures: A field study based on a reference architecture”. Proc. 2016 Cloudification of the Internet of Things (CIoT). IEEE, November, 1-6.
    • Hassanien, A. E., Azar, A. T., Snasael, V., Kacprzyk, J., & Abawajy, J. H.(2015). “Big data in complex systems”, In: SBD, Berlin, Springer, (9). 71-104, At: http://dx.doi.org/10.1007/978-3-319-11056-1_3.
    • Hejazi, H., Rajab, H., Cinkler, T., & Lengyel, L. (2018). “Survey of platforms for massive IoT”. Conference: 2018 IEEE International Conference on Future IoT Technologies (Future IoT), January, 1-8..
    • IOTIFY, (2018). “Top 10 criteria to choose the best IoT cloud platform”, J. Koo and Y.-g. Kim, Heterogeneous IoT Platforms. 26–29.
    • Ilunin, I (2017). “How to Choose Your IoT Platform-Should You Go Open-Source?”, At: https://medium. com/iotforall/howto-choose-your-iot-platform-should-you-go-open-source-23148a0809f3.
    • Javed, A. (2016). “IoT Platforms”. In: “Building Arduino Projects for the Internet of Things”,Apress, Berkeley, CA, 253-278.
    • Johari, F. (2015). “The security of communication protocols used for Internet of Things”, LU-CS-EX 2015, 42.
    • Khakurel, J. (2018). Enhancing the adoption of quantified self-tracking devices.Lappeenranta University of Technology, Lappeenranta.
    • Kim, M., Lee, N. Y., & Park, J. H. (2016). “Study on the generic architecture design of IoT platforms”. In: Advances in Computer Science and Ubiquitous Computing(pp. 1039-1045). Springer, Singapore.
    • Lamarre, E., & May, B. (2017). Making sense of Internet of Things platforms. Montréal and Silicon Valley: McKinsey.
    • Lanza, G. (2021). “Data-Related Ecosystems in Policy Making: The PoliVisu Contexts”. (pp.91-104), In: The Data Shake Opportunities and Obstacles for Urban Policy Making, G. Concilio & et. al. (eds.), The Data Shake, PoliMI Springer Briefs, https://doi.org/10.1007/978-3- 030-63693- 7_791.
    • Lee, J. (2018). “How to choose the right IoT platform”. The ultimate checklist”. Hacker Noon, 25, Available at: https://hackernoon.com/howto-choose-the-right-iot-platform-the-ultimate-checklist-47b5575d4e20.
    • Lytras, M. D., & Visvizi, A. (2021). “Artificial Intelligence and Cognitive Computing: Methods, Technologies, Systems, Applications and Policy Making”, Sustainability, 13 (7), 3598; https://doi.org/10.3390/su13073598.
    • McClelland, C.(2018). “How To Choose the Best IoT Platform”, Available online: https://www.leverege.com/blogpost/how-to-choose-the-best-iot-platform.
    • Mineraud, J.,Mazhelis,O., Su, X., & Tarkoma, S. (2016). “A gap analysisof Internet-of-Thing platforms”, Computer Communications, 89, 5-16.
    • Nabeeh, N. A., Abdel-Basset, M., El-Ghareeb, H. A., & Aboelfetouh, A. (2019). Neutrosophic multi-criteria decision making approach for iot-based enterprises. IEEE Access, 7, 59559-59574.
    • Perry, M. J. (2016). “Evaluating and Choosing an IoT platform”, O'Reilly Media. Privacy and Security Issues”. At: https://scholar.google.com/scholar_lookup?title=Evaluating+and+Choosing+an+IoT+Platform&author=Perry,+M.J.&publication_year=2016.
    • Ranjbar, M. S., Elyasi, M.Narimani, M.& Attarpour, M. R.(2021). “Policymaking for the Development of Basic Sciences and Technologies: Reviewing Some Global Best Practices”Rahyaft, 30 (77), 71-88.
    • Razzaque, M.A., Milojevic-Jevric ,M ., Palade, A. & Clarke, S. (2015). “Middleware for iot: a survey”. IEEE Internet of things journal, 3 (1), 70-95.
    • Salman, T. (2015). “Internet of things protocols and standards”. Journal Affairs, M. Of END.Access: https://scholar.google.com.vn/citations?view_op=view_citation&hl=vi&user=esbaYMQAAAAJ&citation_for_view=esbaYMQAAAAJ:UeHWp8X0CEIC.
    • Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research. springer publishing company.‏
    • Uslu, B., Eren, T., Gür, Ş., & Özcan, E. (2019). “Evaluation of the difficulties in the internet of things (IoT) with multi-criteria decision making”. Processes, 7 (3), 164.https://doi.org/10.3390/pr7030164.
    • Vandikas, K., & Tsiatsis, V. (2014). “Performance evaluation of an IoT platform”. (pp. 141-146), In: (pp. 141-146): 2014 Eighth International Conference on Next Generation Mobile Apps, Services and Technologies. IEEE.
    • Wang, W. (2020). “Data analysis of intellectual property policy system based on Internet of Things”. Enterprise Information Systems, 14 (3), 1-19.
    • Weber, R. H. (2016). “Governance of the Internet of things—From infancy to first attempts of implementation?”. Laws, 5 (3), 28. At: https://doi.org/10.3390/laws5030028.
    • Westerlund, M, Leminen, S., & Rajahonka, M. (2014). “Designing Business Models for the Internet of Things”, Technology Innovation Management Review, 5-14. https://timreview.ca/article/807
    • Xiao, G., Guo, J., Da Xu, L., & Gong, Z. (2014). “User interoperability with heterogeneous IoT devices through transformation”, IEEE Transactions on Industrial Informatics, 10 (2), 1486-1496.