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Year 2021, Volume 3, Issue 2, 45 - 67, 31.12.2021

Abstract

References

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  • Farooque, M. et al. (2020) “Fuzzy DEMATEL analysis of barriers to Blockchain-based life cycle assessment in China,” Computers and Industrial Engineering, 147(July), p. 106684. doi:10.1016/j.cie.2020.106684.
  • Fernando, Y., Rozuar, N.H.M. and Mergeresa, F. (2021) “The blockchain-enabled technology and carbon performance: Insights from early adopters,” Technology in Society, 64(September 2020), p. 101507. doi:10.1016/j.techsoc.2020.101507.
  • Galvez, J.F., Mejuto, J.C. and Simal-gandara, J. (2018) “Trends in Analytical Chemistry Future challenges on the use of blockchain for food traceability analysis,” Trends in Analytical Chemistry, 107, pp. 222–232. doi:10.1016/j.trac.2018.08.011.
  • Grishchenko, I., Maffei, M. and B, C.S. (2018) A Semantic Framework for the Security Analysis of Ethereum Smart Contracts. Springer International Publishing. doi:10.1007/978-3-319-89722-6.
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Survey System Using Blockchain for Scientific Research

Year 2021, Volume 3, Issue 2, 45 - 67, 31.12.2021

Abstract

The survey is a list of questions prepared according to a specific plan for the resource people who constitute a universe or sample to understand specific people's feelings, thoughts, and experiences on a subject. However, there are many disadvantages such as lack of transparency, lack of participant privacy, and low level of security due to the centralized structure of existing survey systems. Blockchain is a Digital Trust Protocol that provides agentless, transparent, secure information transfer that protects user privacy with crypto encryption. In this study, we propose a blockchain-based, inter-university survey system to be used in scientific research to solve the problems encountered in existing survey systems. We also do a SWOT analysis of our proposed approach and centralized survey systems, utilize an algorithm in the literature to investigate whether blockchain is suitable for survey applications, compare the central survey systems with the design we propose in terms of transparency using the CNN transparency index. Moreover, we use the technology organization environment (TOE) theory to identify barriers that may arise in technology adoption and use the Fuzzy Decision-Making Trial and Laboratory Evaluation (Fuzzy Dematel) method to evaluate, analyze and prioritize the interactions of these barriers with each other.

References

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  • Aitzhan, N.Z. and Svetinovic, D. (2018) “Security and Privacy in Decentralized Energy Trading Through Multi-Signatures , Blockchain and Anonymous Messaging Streams,” 15(5), pp. 840–852.
  • Andoni, M. et al. (2019) “Blockchain technology in the energy sector : A systematic review of challenges and opportunities,” Renewable and Sustainable Energy Reviews, 100(November 2018), pp. 143–174. doi:10.1016/j.rser.2018.10.014.
  • Androulaki, E. et al. (no date) “Hyperledger Fabric : A Distributed Operating System for Permissioned Blockchains.”
  • AYDAŞ, İ. (2020) “PRE-ELECTION POLLS IN TURKEY,” 3(2017), pp. 54–67.
  • Azaria, A. et al. (2016) “MedRec: Using blockchain for medical data access and permission management,” Proceedings - 2016 2nd International Conference on Open and Big Data, OBD 2016, pp. 25–30. doi:10.1109/OBD.2016.11.
  • B, C.D. et al. (2015) “Making Bitcoin Exchanges Transparent,” pp. 561–576. doi:10.1007/978-3-319-24177-7. Baur, A.W. et al. (2015) “Cryptocurrencies as a Disruption ? Empirical Findings on User Adoption and Future Potential of Bitcoin and Co,” pp. 63–80. doi:10.1007/978-3-319-25013-7.
  • Bhargavan, K. et al. (no date) “Formal Verification of Smart Contracts Short Paper F *,” pp. 91–96.
  • Biswas, B. and Gupta, R. (2019) “Computers & Industrial Engineering Analysis of barriers to implement blockchain in industry and service sectors,” Computers & Industrial Engineering, 136(July), pp. 225–241. doi:10.1016/j.cie.2019.07.005.
  • Biswas, K. and Technology, A.B. (2016) “Securing Smart Cities Using Blockchain Technology,” pp. 10–11. doi:10.1109/HPCC-SmartCity-DSS.2016.178.
  • “Blockchain’s Roles in Meeting Key Supply Chain Management Objectives By: Nir Kshetri Kshetri, Nir (2018)." Blockchain’s Roles in Meeting Key Supply Chain Management Objectives,”” (2018), pp. 80–89.
  • “Blockchain’s roles in strengthening cybersecurity and protecting privacy By: Nir Kshetri Kshetri, Nir (2017)."Blockchain’s roles in strengthening cybersecurity and protecting privacy "” (2017), 41, pp. 1027–1038.
  • Bruens, B. and Moehrle, M.G. (2018) “Understanding the diffusion of the blockchain technology: A patent-based analysis using the tf-lag-idf for term novelty evaluation,” PICMET 2018 - Portland International Conference on Management of Engineering and Technology: Managing Technological Entrepreneurship: The Engine for Economic Growth, Proceedings [Preprint]. doi:10.23919/PICMET.2018.8481994.
  • Casino, F., Dasaklis, T.K. and Patsakis, C. (2019) “Telematics and Informatics A systematic literature review of blockchain-based applications : Current status , classification and open issues,” Telematics and Informatics, 36(May 2018), pp. 55–81. doi:10.1016/j.tele.2018.11.006.
  • Christidis, K. and Devetsikiotis, M. (2016a) “Blockchains and Smart Contracts for the Internet of Things,” IEEE Access, 4, pp. 2292–2303. doi:10.1109/ACCESS.2016.2566339.
  • Christidis, K. and Devetsikiotis, M. (2016b) “Blockchains and Smart Contracts for the Internet of Things,” IEEE Access, 4, pp. 2292–2303. doi:10.1109/ACCESS.2016.2566339.
  • Claxton, L.D. (2005) “Scientific authorship: Part 1. A window into scientific fraud?,” Mutation Research - Reviews in Mutation Research, 589(1), pp. 17–30. doi:10.1016/j.mrrev.2004.07.003.
  • Croman, K. et al. (no date) “On Scaling Decentralized Blockchains ( A Position Paper ),” 5, pp. 106–125. doi:10.1007/978-3-662-53357-4.
  • Cryptography, F. et al. (2017) “A Smart Contract for Boardroom Voting with Maximum Voter Privacy.”
  • De, R., Pandey, N. and Pal, A. (2020) “Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice,” International Journal of Information and Learning Technology, (55), pp. 1–6.
  • Decker, C. and Wattenhofert, R. (2013) “Information Propagation in the Bitcoin Network.”
  • Dematel, B., Makİne, Y. and Organ, A. (2013) “Bulanik dematel yöntemi̇yle maki̇ne seçi̇mi̇ni̇ etki̇leyen kri̇terleri̇n değerlendi̇ri̇lmesi̇.” Dorri, A. et al. (2017) “BlockChain : A Distributed Solution to Automotive Security and Privacy,” (December), pp. 119–125.
  • Esposito, C. et al. (2018) “Blockchain : A Panacea for Healthcare Cloud-Based Data Security and Privacy ?,” (February), pp. 31–37.
  • E-textiles, C. (2018) “Towards The Internet of Smart Clothing : A Review on IoT Wearables and Garments for Creating Intelligent.” doi:10.3390/electronics7120405.
  • Eyal, I. et al. (2016) “Bitcoin-NG : A Scalable Blockchain Protocol This paper is included in the Proceedings of the.” Eyal, I. and Emin, G. (no date) “Majority is not Enough : Bitcoin Mining is Vulnerable ∗.”
  • Fanelli, D. (2009) “How many scientists fabricate and falsify research? A systematic review and meta-analysis of survey data,” PLoS ONE, 4(5). doi:10.1371/journal.pone.0005738.
  • Farooque, M. et al. (2020) “Fuzzy DEMATEL analysis of barriers to Blockchain-based life cycle assessment in China,” Computers and Industrial Engineering, 147(July), p. 106684. doi:10.1016/j.cie.2020.106684.
  • Fernando, Y., Rozuar, N.H.M. and Mergeresa, F. (2021) “The blockchain-enabled technology and carbon performance: Insights from early adopters,” Technology in Society, 64(September 2020), p. 101507. doi:10.1016/j.techsoc.2020.101507.
  • Galvez, J.F., Mejuto, J.C. and Simal-gandara, J. (2018) “Trends in Analytical Chemistry Future challenges on the use of blockchain for food traceability analysis,” Trends in Analytical Chemistry, 107, pp. 222–232. doi:10.1016/j.trac.2018.08.011.
  • Grishchenko, I., Maffei, M. and B, C.S. (2018) A Semantic Framework for the Security Analysis of Ethereum Smart Contracts. Springer International Publishing. doi:10.1007/978-3-319-89722-6.
  • Guan, Z. et al. (2018) “Privacy-Preserving and Efficient Aggregation Based on Blockchain for Power Grid Communications in Smart Communities,” (July), pp. 82–88.
  • Guo, Y. and Liang, C. (2016) “Blockchain application and outlook in the banking industry.” doi:10.1186/s40854-016-0034-9. Hassan, M.U., Rehmani, M.H. and Chen, J. (2019) “Differential Privacy Techniques for Cyber Physical Systems : A Survey,” pp. 1–46.
  • Heilman, E. et al. (2015) “Eclipse Attacks on Bitcoin ’ s Peer-to-Peer Network ∗,” (August).
  • Huckle, S. et al. (2016) “Internet of Things, Blockchain and Shared Economy Applications,” 98, pp. 461–466. doi:10.1016/j.procs.2016.09.074.
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Details

Primary Language English
Subjects Mathematics, Interdisciplinary Applications
Published Date Fall
Journal Section Articles
Authors

Salim Eray ÇELİK (Primary Author)
YILDIZ TECHNICAL UNIVERSITY
Türkiye


Vildan ÖZKIR
YILDIZ TECHNICAL UNIVERSITY
Türkiye

Publication Date December 31, 2021
Published in Issue Year 2021, Volume 3, Issue 2

Cite

APA Çelik, S. E. & Özkır, V. (2021). Survey System Using Blockchain for Scientific Research . Quantrade Journal of Complex Systems in Social Sciences , 3 (2) , 45-67 . Retrieved from https://dergipark.org.tr/en/pub/quantrade/issue/67822/1048678

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