The Impact of Open Government Data and Data Innovation on Life Insurance Industry Business Development
Subject Areas : Technology ManagementSaeid Taheri 1 , Saeed Shavalpour 2
1 -
2 - University of Science and Technology
Keywords: Open Data Government Open Data Data Innovation Business Development Life Insurance Industry,
Abstract :
The emergence of information and communication technology has enabled organizations to use this technology to generate data in their own business. In addition, organizations need to open their industry-related data, which is generally government-owned, as well as data innovation, in order to develop their business. Today we are seeing a huge storm of data that is due to the actions of individuals, businesses and the state. It is essential to acquire the valuable information through the use and reuse of production data by opening up a large amount of data. In this way, the potential of the mass data of every sector of industry and business can effectively be used to plan, decide, and ultimately business development. Figures show the potential of open data in three areas: banking, insurance, and real estate. To add value, these data should be processed, combined or visualized. The purpose of this study is to investigate the relationship between open government data and data innovation and business development in the life insurance industry of insurance companies. A questionnaire was used to collect data and a random sampling method was used. In this research, 127 employees of life insurers' life insurance companies were selected as the sample for answering the questionnaire. A questionnaire was distributed among different levels of insurance life insurance companies and finally 98 people participated in the completion of the questionnaire. The findings, based on the results of the hypothesis test, indicate that open government data is effective on business development, and the variable of data innovation has a mediating role..
1- آذر، عادل، تحلیل مسیر و علتیابی در علم مدیریت. مجله مجتمع آموزش عالی قم، 4 (15)، 59-96، 1381.
2- حنفیزاده و همکاران، روش تحلیل ساختارهای چند سطحی با استفاده از نرمافزار اسمارت پیالاس، انتشارات ترمه، تهران، 1391.
3- VeljkoviC, N., Bogdanovic- Dinic, S., Stoimenov, L. “Benchmarking Open Government: An Open Data Perspective”, Journal Government Information Quarterly, pp 278-290, 2014.
4- Janssen, K., “The influence of the PSI directive on open government data: An overview of recent developments”, Government Information Quarterly, vol. 28, pp. 446-456, 2011.
5- FLOK team, “policy proposals for an open knowledge commons society”, 2015.
6- President Barack Obama. “Transparency and Open-Government”. https://www.whitehouse.gov/the_press_office/TransparencyandOpenGovernment, 2009.
7- McDermott, P. Building open government. Government Information Quarterly, 27(4), 401–413. 2010.
8- Chesbrough, H., Open Innovation: The New Imperative for Creating and Profiting from Technology. Harvard Business Press, 2003.
9- Iansiti, M., Levien, R., “Creating Value in Your Business Ecosystem. Boston, MA, USA: Harvard Bus. School Press”, 2004.
10- Breading, M., Garth, D., “Big Data in Insurance, beyond Exprimentation to innovation”, SMA, 2014.
11- OECD, “Data- driven Innovation for Growth and Well-being” (Interim Synthesis Report), 2014.
12- Zimmermann, H., Pucihar, A., “Open Innovation, Open Data and new Business Models, ResearchGate conference”, 2015.
13- ScoTTish Enterprise., Business Plan 2018-, Operating Year Update, 2019.
14- Osterwalder, A., & Pigneur, Y, Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers (1st ed.). Wiley. Retrieved- from http://www.businessmodelgeneration.com/book, 2010.
15- Lin Chen, P., Chuang Li, S., Tse Hung, M., “Co-occurrence Analysis in Innovation Management: Data Processing of an Online Brainstorming Platform, Technology Management for Emerging Technologies”, 2013.
16- Tat-Kei Ho, A. Reinventing local governments and the e- government initiative.Public Administration Review, 62(4), 434–444, 2002.
17- Tambouris, E., Gorilas, S., Spanos, E., Ioannides, A., & Lopez, G. , European cities platform for realising online transaction services. Paper presented at the 14th Bled Electronic Commerce Conference, Bled (pp. 198–214), 2001.
18- Akman, I., Yazici, A.,Mishra, A., & Arifoglu, A. , E-government: A global view and an empirical evaluation of some attributes of citizens. Government Information Quarterly, 22(2), 239–257. 2005.
19- Csetenyi, A., Electronic government: perspectives from e-commerce. Paper presented at the 11th International Workshop on Database and Expert Systems Applications (pp. 294–298)m, 2000.
20- Gupta, M. P., & Jana, D., E-government evaluation: A framework and case study. Government Information Quarterly, 20(4), 365–387. 2003.
21- Koznov, D., Nikula, U., Maglyas, A., Mouromtsev, N., Open Government Data in Russian Federation; See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/31166891, 2016.
22- Yan, A., Weber, N, Mining Open Government Data Used in Scientific Research: arXiv:1802.03074 1802.03074v3 [cs.CY]. 2018.
23- THE CENTER FOR OPEN DATA ENTERPRISE., Accenture, Government Data For Business Innovation In The 21ST Century, 2017.
24- OECD, Government at a Glance, HIGHLIGHTS, 2017.
25- Seattle Information Technology., Powerful Technology Solutions For The City And Public We Serve., OPEN DATA PLAN, 2018.
26- Zuiderwijk, A., Gascó, M., Parycek, P., Janssen, M.: Special issue on transparency and open data policies: Guest editors’ introduction. J. Theor. Appl. Electron. Commer. Res. 9(3), i–ix, http://dl.acm.org/citation.cfm? id=2661036.2661037, 2014.
27- http://iranopendata.org/fa/
28- Manyika, J., et al., Open data: “Unlocking innovation and performance with liquid information. (McKinsey Global Institute, Ed.). Retrieved from”, 2013.
29- Capgemini, Big Data Analytics in life insurance, 2014.
30- Pwc.com/us/ AI predictions 8 insights to shape business strategy, 2018.
31- Derrick Harris, "You Might Also Like … To Know How Online Recommendations Work," GigaOM,http://gigaom.com/2013/01/29/you-might-also-like-to-know-how-online-recommendations-work, 2013.
32- World Economic Forum and Boston Consulting Group, "Unlocking the Value of Personal Data: From Collection to Usage," http://www3.weforum.org/docs/WEF_IT_UnlockingValuePersonalData_CollectionUsage_Report_2013.pdf. 2013.
33- Stanford, Duane, “Coke Engineers Its Orange Juice—With an Algorithm,” BloombergBusinessweek, January 31, http://www.businessweek.com/articles/2013-01-31/coke-engineers-its-orange-juice-with-an-algorithm, 2013.
34- Nino Marchetti, "Determining Optimal Placement of Wind Farms," theenergycollective.com/namarchetti/80862/put-wind-power-its-place-weather-key and IBM, "Vestas: Turning Climate into Capital with Big Data," http://www01.ibm.com/software/success/cssdb.nsf/CS/JHUN-8MY8YK?OpenDocument&Site=default&cty=en_us, 2011, 2012.
35- Dave Michaels, "SEC Data to Transform High-Speed Trading Debate, White Says," Bloomberg, http://www.bloomberg.com/news/2013-10-02/sec-to-transform-high-speed-trading-debate-with-data-white-says.html, 2013.
36- European Space Agency, "Sentinel-3," http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-3, 2013.
37- Centers for Disease Control, "Use of Social Networks to Identify Persons with Undiagnosed HIV-Infection," http://www.cdc.gov/mmwr/preview/mmwrhtml/mm5424a3.htm, 2005.
38- JOHN R. MCKERNAN, JR., "The Future Of Data Driven Innovation", 2014.
39- Castro, D., Korte, T, “Data Innovation 101: An Introduction to the Technologies and Policies Supporting Data-Driven Innovation”, Center for Data Innovation, 2013.
40- Armbrust, M., Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia, "A View of Cloud Computing," Commun. ACM, Vols. vol.53, no. 4, pp. 50-58, 2010.
41- DJ Patil, "Building Data Science Teams," O'Reilly Radar, http://radar.oreilly.com/2011/09/building-data-science-teams.html#what-makes-data-scientist, 2011.
42- Center for Data Innovation, The State of Data Innovation in the EU, 2017.
43- Terrell Mcsweeny & Brian O’Dea., Data, Innovation, and Potential Coimpetition in Digital Markets – Looking Beyond Short- Term Price Effects in Merger Analysis, 2018.
44- Joint Statement of the European and United States Telecommunications Industry on the occasion of the15th EU-U.S. Information Society Dialogue,. Better Connectivity, Regulatory Modernization, Data Innovation The Path Forward for a Fast-Changing Digital Sector, 2018.
45- Ringel. M., Zablit. H., Grassl. F., Manly. J.,-45- The Most Innovative Company; Innovators Go All In On Digital. The Boston Consulting Group, 2018.
46- BIG DATA WORKING GROUP, “Big Data Taxonomy”,cloud security alliance, 2014.
47- Gumusluoglu, L. and Ilsev, A., Transformational leadership, creativity, and organizational innovation. Journal of Business Research, 62, pp. 461–73, 2009.
