Identification of the affecting factors on the future of auto insurance in Iran

Jafari Nia, S.; Salmasi, M.; Khastar, H.; Niakan, L.

doi:10.22056/ijir.2022.04.01

Document Type : Original Research Paper

Authors

¹ Department of Human Resource Management and Business Administration, Kharazmi University, Tehran, Iran

² Department of General Studies of Insurance, Insurance Research Center, TDepartment of Human Resource Management and Business Administration, Kharazmi University, Tehran, Iranehran, Iran

³ Department of General Studies of Insurance, Insurance Research Center, Tehran, Iran

https://doi.org/10.22056/ijir.2022.04.01

Abstract

BACKGROUND AND OBJECTIVES: Societies, organizations or individuals must not only face fundamental environmental changes and react to these changes, but also study the necessary forecasts to prepare for such events and strive to achieve a favorable future. Insurance industry also is not excluded from such predictions. The objective of this research is to identify and possible events for the future of auto insurance in Iran, including those that have been for the sale and payment of this field between 5 and 20 years.
METHODS: Numerous studies have been conducted by theme analysis to identify factors or other objectives; however, there are few studies in the field of future insurance studies, especially auto insurance. Many studies have analyzed the impact of future insurance trends in general, and some have focused on auto insurance in particular. Their methods are mostly trend analysis and some scenario planning. However, these studies have focused on several influential factors and except for one study, none of the studies has focused on the comprehensive identification of factors affecting the future of auto insurance, except one, which it’s scope was global and not in Iran.
This research is descriptive and survey-type, with a practical purpose and a qualitative approach to content analysis. The results of this research have been analyzed in the form of a theme network. In addition, in order to collect data, a semi-structured in-depth interview was used.
FINDINGS: In this research, 19 insurance industry experts were interviewed through snowball sampling. In order to analyze the content of the research, two evaluators were coordinated to carry out open coding, categorization and extraction of themes with the help of MaxQDA software. In this research, reliability, transferability, verifiability and reliability have always been under control, and coding reliability was measured through Kappa Cohen, which was equal to 0.954 in the last stage. In total, the identified factors were classified into six categories: technological, political and legal, economic, social, environmental, and business. In this analysis, the initial 142 open source code, which was limited to 107 open source code after the modifications, was assigned to 900 observation units, which were finally summarized in 44 categories and 6 themes. Considering the value of future studies and the lack of implementation of similar studies in the country, the results which are remarkable, new and valuable, can be used for policy making at different levels of the governing systems, insurance companies and sales network.

CONCLUSION: Based on this research, 44 categories were identified as disease factors, in the form of six themes, which have the ability to change the future of auto insurance in Iran. The findings of this study can be used for policy-making, strategy planning, and investing in infrastructures, human capital studies etc. The results are displayed in the form of a network of themes. Due to these findings, it is important to pay attention to issues related to information technology and the impact of automotive technologies in assessing the risk and damage of auto insurance. In addition, in future research, in order to focus on more important factors, it is possible to prioritize these factors and identify key drivers, and use them in order to visualize and scenario the future of auto insurance in Iran.

Keywords

Main Subjects

Future research in the insurance industry

References

Abbaszadeh, M., (2012). Validity and reliability in qualitative researches. J. Appl. Sociol, 23(1): 19-34 (16 pages). )In Persian(

Abedi Jafari, H.; Taslimi, M.S.; Faghihi, A.; Sheikhzadeh, M., (2011). Thematic analysis and thematic networks: A simple and efficient method for exploring patterns embedded in qualitative data municipalities). Strategic Manage. Thought, 5(2): 151-198 (48 pages). )In Persian(

Adam-Kalfon, P.; El Moutaouakil, S., (2017). Blockchain, a catalyst for new approaches in insurance: part 1. Price waterhouse Coopers (pwc).

Anderson, J.M.; Heaton, P.; Carroll, S.J., (2010). What happened to no-fault automobile insurance? Santa Monica: CA: RAND Corporation.

Anderson, J.M.; Kalra, N.; Stanley, K.D.; Morikawa, J., (2018). Rethinking insurance and liability in the transformative age of autonomous vehicles. RAND Coorporation.

Attride-Stirling, J., (2001). Thematic networks: An analytic tool for qualitative research. Qualitative Research, 1(3): 385-405 (21 pages).

Balasubramanian, R.; Libarikian, A.; McElhaney, D., (2021). Insurance 2030 The impact of AI on the future of insurance. McKinsey and Company.

Bell, W., (2003). Foundations of futures studies I :History, purposes, and knowledge. Routledge.

Boyatzis, R.E., (1998). Transforming qualitative information: Thematic analysis and code development. Sage publishing.

Braun, V.; Clark, V., (2006). Using thematic analysis in psychology. Qual. Res. Psychol., 3(2): 77-101 (25 pages).

Ceric, A., (2016). Analysis of interactions between IT and organisational resources in a manufacturing organisation using cross-impact analysis. J. Enterp. Inf. Manage., 29(4): 589-611 (23 pages).

Cummins, J.; Griepentrog, G., (1985). Forecasting automobile insurance paid claim costs using econometric and ARIMA models. Int. J. Forecasting, 1(3): 203-215 (12 pages).

De Winter, J. C. F.; Dodou, D.; Happee, R.; Eisma, Y.B., (2019). Will vehicle data be shared to address the how, where, and who of traffic accidents?. Eur. J. Futures Res., 7(2): 1-9 (9 pages).

Essert, H. Hunt, D., (2020). The fourth industrial revolution (4IR) brings new data, insights and risks to insurance. Price waterhouse Coopers (pwc).

Fasihi, A., (2011). Quality management of qualitative research with emphasis on grounded theory and ethnography. Pazhuhesh, 3 (2): 45-66 (21 pages). (In Persian)

Gall, M.; Borg, W.; Gall, J., (2015). Quantitative and qualitative research methods in educational sciences and psychology. (Translators: Nasr, A.R. Arizi, H.R. Abolghasemi, M. Pakseresht, M.J. Kiamanesh, A. Bagheri, K. Khair, M. Shahni Yilagh, M. Khosravi, Z.), 10th edition. Tehran: Shahid Beheshti University and the Organization for the Study and Compilation of University Humanities Books (Samat). (In Persian)

Giaoutzi, M.; Sapio, B., (2016). Recent developments in foresight methodologies. (Translator: Faqih, Sina; Faqih, Mohammad Amin; Nazarizadeh, Farhad), first edition. Tehran: Defense Industries Educational and Research Institute. (In Persian)

Hallgren, K.A., (2012). Computing inter-rater reliability for observational data: An overview and tutorial. Tutor. Quant. Methods Psychol., 8(1): 23-34 (12 pages).

Hruschka, D.J.; Schwartz, D. St.John, D.C.; Picone-Decaro, E.; Jenkins, R.A.; Carey, J.W., (2004). Reliability in coding open-ended data: Lessons learned from HIV behavioral research. Field methods, 16(3): 307-331 (25 pages).

Haghighat Semnani, M.; Mirzaei Peri, Y., (2019). The future ecosystem of the automotive industry and the expansion of the insurance market. Twenty-sixth national conference on insurance and development, Tehran. (In Persian)

Heydari, A.; Shaghaee Falah, M., (2015). Assessment of trustworthiness of published qualitative articles in Iranian websites in 1392. Iran. J. Nurs. Res., 10 (3): 11-17 (7 pages). (In Persian)

Inayatullah, S., (2002). Smart cars and smart insurance: analysing the trends. Foresight, 4(1): 31-35 (5 pages).

Jafarinia, S.; Salmasi, M.; Khastar, H.; Niakan, L., (2021). A systematic review of future studies in the field of auto insurance. Iran. J. Insur. Res., 36(3): 209-241 (32 pages). (In Persian)

Jackson, M., (2015). An introduction to futurism. (Translator: Taqvaei Ganj Ali, Azita; Yindnavaz, Petra; Nasrasfahani, Alireza). Tehran: Shakib Publications. (In Persian)

James, M.A.; Nidhi, K.; Karlyn, D.S.; Sorensen, P.; Constantine, S.; Oluwatobi A.O., (2016). Autonomous vehicle technology. Santa Monica: RAND Corporation.

Kamali, Y., (2018). Methodology of thematic analysis and its application in public policy studies. J. Public Policy, 4(2): 189-208 (20 pages). (In Persian)

King, N.; Horrocks, Ch.; Brooks, J., (2018). Interviews in qualitative research. Sage Publications.

Mardukhi, B., (2013). Foresight methodology. Second Edition. Tehran: Ney Publishing. (In Persian)

Mandy, D.M., (1989). Forecasting unemployment insurance trust funds: The case of Tennessee. Int. J. Forecasting, 5(3): 381-391 (11 pages).

Merriman, S.E.; Plant, K.L.; Revell, K.M.A.; Stanton, N.A., (2021). Challenges for automated vehicle driver training: A thematic analysis from manual and automated driving, Transportation Research Part F: Traffic Psychology and Behaviour. 76: 238-268 (31 pages).

Mirsepasi, N.; Rajabi Farjad, H., (2016). The Effect of Cultural Components on Life Insurance Demand from the View of Central Insurance Staff of Iran (With emphasis on Futuristic views). Manage. Future Res., 26(2): 15-26 (12 pages). (In Persian)

Mohammadpur, A., (2013). Qualitative research method counter method 1 (The logic and design in qualitative methodology). Tehran: Jameeshenasan. (In Persian)

Mohammadpourjaberi, M.; Ebrahimzadeh, I.; Rafieian, M.; Saed Moocheshy, R., (2016). Identification and analysis of cross-impacts of key factors and assessing the level of regional sustainability with a strategic foresight approach (A case study of northern khorasan province). Geography and sustainability of environment, 6(3): 1-17 (17 pages). (In Persian)

Naimi, K.; Pourmohammadi, M.R., (2016). Identify key factors affecting the future status of low-income urban settlements in Sanandaj with emphasis on future research application. J. Urban Stud., 5(20): 53-64 (12 pages). (In Persian)

Nematpour, M.; Faraji, A., (2019). Structural analysis of the tourism impacts in the form of future study in developing countries (case study: Iran). J. Tourism Futures, 5(3): 259-282 (23 pages).

Nourani, V., (2019A). The future of car insurance, How advanced driver assistance technologies and IoT affect car insurance (SwissRe 2015 report). Future Report No. 4, Insur. Res. Inst. (In Persian)

Nourani, V., (2019B). The future of talking bots (chatbots) in insurance. No 5, Insur. Res. Inst. (In Persian)

Nourani, V., (2020). Investigating the insurance dimensions of self-driving cars in smart cities of the future. No 71, Insur. Res. Inst. (In Persian)

Petroni, A., (2000). The future of insurance industry in Italy: Determinants of competitiveness in the 2000s. Futures, 32(5): 417-434 (17 pages).

PwC., (2012). Insurance 2020: Turning change into opportunity. Price waterhouse Coopers International Limited.

Salami, Sh.; Baqerzadeh, M.R.; Mehrara, A.; Matani, M., (2020). Identifying and prioritizing the factors of favorable corporate governance in Iran insurance company. Sci. Res. Q. Insur. Res. J., 9(4): 199-233 (34 pages). (In Persian)

Saritas, O.; Smith, J.E., (2011). The Big Picture – trends, drivers, wild cards, discontinuities and weak signals. Futures, 43(3): 292-312 (21 pages).

Schou, L.; Høstrup, H.; Lyngsø, E.E.; Larsen, S.; Poulsen, I., (2012). Validation of a new assessment tool for qualitative research articles. J. Adv. Nurs., 68(9): 2086-2094 (9 pages).

Yousefi, O.; Kolivand Abdullahi, A., (2013). The perspective of the Iranian automotive industry in the passage of global challenges (futurology with a scenario approach). The Second National Conference on Futurology, Tehran, Yadegar Derakhshan Aria Company. )In Persian(

Zeinabadi, H.R.; Salmasi, M.; Soltani Sani, A.; Tahmasbi, H., (2017). Reflection on the factors affecting customer satisfaction in Iranian automobile insurance: An application of association method. Iran. J. Insur. Res., 6(2): 61-84 (24 pages). )In Persian(

Ziari, K. Rabbani, T.; Saedmoucheshi, R., (2016). Future research: A new paradigm in planning with emphasis on urban and regional planning (principles, concepts, approaches and methods). Tehran: University of Tehran. (In Persian)

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Iranian Journal of Insurance Research

Identification of the affecting factors on the future of auto insurance in Iran

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Volume 11, Issue 4 - Serial Number 42
October 2022
Pages 261-276

Identification of the affecting factors on the future of auto insurance in Iran

References

References

Letters to Editor

Send comment about this article

Volume 11, Issue 4 - Serial Number 42October 2022Pages 261-276

Volume 11, Issue 4 - Serial Number 42
October 2022
Pages 261-276