Skip to main content

Advertisement

SpringerLink
Log in

Blockchain Technology Application Challenges in Renewable Energy Supply Chain Management

  • Advancements in Clean Energy for Sustainable Development
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

With the advent of new technologies and globalization of business, supply chains have turned into indispensable tools for gaining competitive advantage. The application of new technologies like blockchain can benefit sustainable energy supply chains by improving chain and logistics operations in the areas of trust, transparency and accountability, cooperation, information sharing, financial exchanges, and supply chain integration. However, the efforts to adopt such technologies in supply chains tend to face many challenges and challenges, which can seriously threaten their success. Therefore, it is crucial to carefully examine the challenges to blockchain technology application. This research focuses on identifying the criteria and challenges to the application of blockchain in renewable energy supply chains and also ranks the identified challenges in terms of their capacity to disrupt the process. The applicability of the suggested structure is examined in a case study of the renewable energy supply chain of Iran. In this study, the challenges are evaluated and ranked by the hybrid developed methods by the integration of the concept of gray numbers into the gray stepwise weight assessment ratio analysis (SWARA-Gray) and the gray evaluation based on distance from average solution (EDAS-Gray). Another group of hybrid methods including the gray weighted sum method (WSM-Gray), the gray complex proportional assessment (COPRAS-Gray), and the gray technique for order of preference by similarity to ideal solution (TOPSIS-Gray) is used to validate the results. The rankings obtained from all of these techniques show high degree of correlation. Among the identified challenges, “high investment cost” is found to be the most important challenge to the application of blockchain in sustainable energy supply chains.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Issakhov A, Techato K (2021a) A thorough investigation for development of hydrogen projects from wind energy: A case study. Int J Hydrogen Energy 46(36):18795–18815. https://doi.org/10.1016/j.ijhydene.2021.03.061

    Article  CAS  Google Scholar 

  • Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Jahangiri M, Techato K (2021b) Technical, economic, carbon footprint assessment, and prioritizing stations for hydrogen production using wind energy: A case study. Energ Strat Rev 36:100684. https://doi.org/10.1016/j.esr.2021.100684

    Article  Google Scholar 

  • Almutairi K, Hosseini Dehshiri SS, Hosseini Dehshiri SJ, Mostafaeipour A, Issakhov A, Techato K (2021c) Use of a Hybrid Wind—Solar—Diesel—Battery Energy System to Power Buildings in Remote Areas: A Case Study. Sustainability 13(16):8764

    CAS  Google Scholar 

  • Ar IM, Erol I, Peker I, Ozdemir AI, Medeni TD, Medeni IT (2020) Evaluating the feasibility of blockchain in logistics operations: A decision framework. Expert Systems with Applications 158:113543

    Google Scholar 

  • Bai C, Sarkis J (2013) Green Information Technology Strategic Justification and Evaluation. Inf Syst Front 15(5):831–847

    Google Scholar 

  • Bai C, Sarkis J (2017) Improving Green Flexibility Through Advanced Manufacturing Technology Investment: Modeling the Decision Process. Int J Prod Econ 188:86–104

    Google Scholar 

  • Baud-Lavigne, B., Agard, B., & Penz, B. (2014). Environmental constraints in joint product and supply chain design optimization. Comput Ind Eng. 76:16–22.

  • Beck R (2018) Beyond bitcoin: the rise of blockchain world. Computer 51(2):54–58

    Google Scholar 

  • Beck R, Müller-Bloch C, King JL (2018) Governance in the Blockchain Economy: A Framework and Research Agenda. J Assoc Inf Syst 19(10):1020–1034

    Google Scholar 

  • Behnke K, Janssen MFWHA (2020) Boundary conditions for traceability in food supply chains using blockchain technology. International Journal of Information Management 52:101969

    Google Scholar 

  • Biswas B, Gupta R (2019) Analysis of barriers to implement blockchain in industry and service sectors. Comput Ind Eng 136:225–241

    Google Scholar 

  • Böhme R, Christin N, Edelman B, Moore T (2015) Bitcoin: Economics, technology, and governance. Journal of Economic Perspectives 29(2):213–238

    Google Scholar 

  • Britchenko I, Cherniavska T, Cherniavskyi B (2018) Blockchain technology into the logistics supply chain implementation effectiveness. In Yevheniia Polishchuk & Igor Britchenko (eds.), Development of small and medium enterprises: the EU and East-partnership countries experience: monograph. pp. 307–318.

  • Casado-Vara R, Prieto J, De la Prieta F, Corchado JM (2018) How Blockchain Improves the Supply Chain: Case Study Alimentary Supply Chain. Procedia Computer Science 134:393–398

    Google Scholar 

  • Casion F, Dasaklis TK, Patsakis C (2019) A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics and Informatics 36:55–81

    Google Scholar 

  • Casion F, Dasaklis TK, Patsakis C (2019b) A systematic literature review of blockchain-based applications: Current status, classification and open issues. Telematics Inform 36:55–81

    Google Scholar 

  • Choi TM, Guo S, Luo S (2020) When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management? Transportation Research Part E: Logistics and Transportation Review 135:101860

    Google Scholar 

  • Choi T-M, Feng L, Li R (2020) Information disclosure structure in supply chains with rental service platforms in the blockchain technology era. International Journal of Production Economics 221:107473

    Google Scholar 

  • Choukri K, Naddami A, Hayani S (2017) Renewable energy in emergent countries: lessons from energy transition in Morocco. Energy, Sustainability and Society 7(1):1–11

    Google Scholar 

  • Christidis K, Devetsikiotis M (2016) Blockchains and smart contracts for the internet of things. IEEE Access 4:2292–2303. https://doi.org/10.1109/ACCESS.2016.2566339

    Article  Google Scholar 

  • Constantinides P, Henfridsson O, Parker GG (2018) Introduction – Platforms and Infrastructures in the Digital Age. Inf Syst Res 29(2):381–400. https://doi.org/10.1287/isre.2018.0794

    Article  Google Scholar 

  • Dahooie JH, Dehshiri SJH, Banaitis A, Binkytė-Vėlienė A (2020) Identifying and prioritizing cost reduction solutions in the supply chain by integrating value engineering and gray multi-criteria decision-making. Technol Econ Dev Econ 26(6):1311–1338

    Google Scholar 

  • Deng JL (1982) Control problems of grey systems. Syst Control Lett 1(5):288–294. https://doi.org/10.1016/S0167-6911(82)80025-X

    Article  Google Scholar 

  • Dorri A, Steger M, Kanhere SS, Jurdak R (2017) Blockchain: A Distributed Solution to Automotive Security and Privacy. IEEE Commun Mag 55(12):119–125

    Google Scholar 

  • Du WD, Pan SL, Leidner DE, Ying W (2019) Affordances, experimentation and actualization of FinTech: A blockchain implementation study. J Strateg Inf Syst 28(1):50–65

    Google Scholar 

  • Dujak D., Sajter D. (2019) Blockchain Applications in Supply Chain. In: Kawa A., Maryniak A. (eds) SMART Supply Network. EcoProduction (Environmental Issues in Logistics and Manufacturing). Springer, Cham. https://doi.org/10.1007/978-3-319-91668-2_2

  • El-Karmi FZ, Abu-Shikhah NM (2013) The role of financial incentives in promoting renewable energy in Jordan. Renewable Energy 57:620–625

    Google Scholar 

  • Engelken M, Römer B, Drescher M, Welpe IM, Picot A (2016) Comparing drivers, barriers, and opportunities of business models for renewable energies: A review. Renew Sustain Energy Rev 60:795–809

    Google Scholar 

  • Goldsby TJ, Zinn W (2016) Technology innovation and new business models: can logistics and supply chain research accelerate the evolution? J Bus Logist 37(2):80–81

    Google Scholar 

  • Hackius, N., & Petersen, M. (2017). Blockchain in logistics and supply chain: trick or treat?. In Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 23 (pp. 3–18). Berlin: epubli GmbH.

  • Hastig GM, Sodhi MS (2020) Blockchain for supply chain traceability: Business requirements and critical success factors. Prod Oper Manag 29(4):935–954

    Google Scholar 

  • Heidary Dahooie J, Hosseini Dehshiri SJ (2019) Identify and prioritize Strategies to Reduce Plant Power Equipments Supply Chain Costs Through Value Engineering. Industrial Management Studies 17(52):125–152. https://doi.org/10.22054/jims.2017.17702.1634

    Article  Google Scholar 

  • Helo P, Hao Y (2019) Blockchains in operations and supply chains: A model and reference implementation. Comput Ind Eng 136:242–251

    Google Scholar 

  • Hofmann E, Rüsch M (2017) Industry 4.0 and the Current Status as Well as Future Prospects on Logistics. Comput Ind 89:23–34

    Google Scholar 

  • Hosseini Dehshiri SJ (2019) Using Gray Numbers Theory in Multi-Attribute Decision Making Methods for the Evaluation the Risk of Outsourcing of Information Technology Projects. IT Management Studies 7(28):167–198

    Google Scholar 

  • Iansiti M (2017) The Truth About Blockchain. Harv Bus Rev 95(1):118

    Google Scholar 

  • Iansiti M, Lakhani KR (2017) The truth about blockchain. Harvard Business Review 95:118–127

    Google Scholar 

  • Jahanshahloo GR, Lotfi FH, Izadikhah M (2006) An algorithmic method to extend TOPSIS for decision-making problems with interval data. Appl Math Comput 175(2):1375–1384. https://doi.org/10.1016/j.amc.2005.08.048

    Article  Google Scholar 

  • Janssen M, Weerakkody V, Ismagilova E, Sivarajah U, Irani Z (2020) A framework for analysing blockchain technology adoption: Integrating institutional, market and technical factors. Int J Inf Manage 50:302–309

    Google Scholar 

  • Jelti F, Allouhi A, Büker MS, Saadani R, Jamil A (2021) Renewable power generation: A supply chain perspective. Sustainability 13(3):1271

    Google Scholar 

  • Jraisat L, Hattar C (2017) The Awareness of Renewable Energy efficiency for Supply Chain Management. Energies 10:1618

    Google Scholar 

  • Kalbasi, R., Jahangiri, M., Mosavi, A., Dehshiri, S. J. H., Dehshiri, S. S. H., Ebrahimi, S., ... & Karimipour, A. (2021). Finding the best station in Belgium to use residential-scale solar heating, One-year dynamic simulation with considering all system losses: Economic analysis of using ETSW. Sustainable Energy Technologies and Assessments, 45, 101097.

  • Kaliszewski I, Podkopaev D (2016) Simple additive weighting—A metamodel for multiple criteria decision analysis methods. Expert Syst Appl 54:155–161

    Google Scholar 

  • Kamble SS, Gunasekaran A, Sharma R (2020) Modeling the blockchain enabled traceability in agriculture supply chain. International Journal of Information Management 52:101967

    Google Scholar 

  • Kamilaris A, Fonts A, Prenafeta-Boldύ FX (2019) The rise of blockchain technology in agriculture and food supply chains. Trends Food Sci Technol 91:640–652

    CAS  Google Scholar 

  • Keršuliene V, Zavadskas EK, Turskis Z (2010) Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J Bus Econ Manag 11(2):243–258

    Google Scholar 

  • Keshavarz Ghorabaee M, Zavadskas EK, Olfat L, Turskis Z (2015) Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica 26(3):435–451

    Google Scholar 

  • Khaqqi KN, Sikorski JJ, Hadinoto K, Kraft M (2018) Incorporating Seller/Buyer Reputation-Based System in Blockchain-Enabled Emission Trading Application. Appl Energy 209:8–19

    Google Scholar 

  • Kildienė S, Kaklauskas A, Zavadskas EK (2011) COPRAS based comparative analysis of the European country management capabilities within the construction sector in the time of crisis. J Bus Econ Manag 12(2):417–434. https://doi.org/10.3846/16111699.2011.575190

    Article  Google Scholar 

  • Korpela, K., J. Hallikas, and T. Dahlberg. 2017. “Digital Supply Chain Transformation Toward Blockchain Integration.” In Hawaii International Conference on System Sciences, 4182–4191. Waikoloa Beach, HI. https://doi.org/10.24251/HICSS.2017.506

  • Kshetri N (2017) Blockchain’s Roles in Strengthening Cybersecurity and Protecting Privacy. Telecommunications Policy 41(10):1027–1038

    Google Scholar 

  • Kshetri N (2018) Blockchain’s Roles in Meeting Key Supply Chain Management Objectives. Int J Inf Manage 39:80–89. https://doi.org/10.1016/j.ijinfomgt.2017.12.005

    Article  Google Scholar 

  • Lei A, Cruickshank H, Cao Y, Asuquo P, Ogah CPA, Sun Z (2017) Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems. IEEE Internet Things J 4(6):1832–1843

    Google Scholar 

  • Li H, Bao Q, Ren X, Xie Y, Ren J, Yang Y (2017) Reducing rebound effect through fossil subsidies reform: a comprehensive evaluation in China. J Clean Prod 141:305–314

    Google Scholar 

  • Li X, Wang CA (2017) The Technology and Economic Determinants of Cryptocurrency Exchange Rates: The Case of Bitcoin. Decis Support Syst 95:49–60

    Google Scholar 

  • Liu KH, Chang SF, Huang WH, Lu IC (2019) The Framework of the Integration of Carbon Footprint and Blockchain: Using Blockchain as a Carbon Emission Management Tool. In: Hu AH, Matsumoto M, Kuo TC, Smith S (eds) Technologies and Eco-Innovation Towards Sustainability I. Springer, Singapore, pp 15–22

    Google Scholar 

  • Lorde T, Waithe K, Francis B (2010) The importance of electrical energy for economic growth in Barbados. Energy Economics 32(6):1411–1420

    Google Scholar 

  • Lu Y (2018) Blockchain and the related issues: a review of current research topics. Journal of Management Analytics 5(4):231–255

    Google Scholar 

  • Luthra S, Kumar S, Garg D, Haleem A (2015) Barriers to renewable/sustainable energy technologies adoption: Indian perspective. Renew Sustain Energy Rev 41:762–776

    Google Scholar 

  • Mac Crimmon, K. R. (1968). Decision making among multiple-attribute alternatives: a survey and consolidated approach (No. RM-4823-ARPA). RAND CORP SANTA MONICA CA. https://www.rand.org/pubs/research_memoranda/RM4823.html. Also available in print form https://apps.dtic.mil/sti/citations/AD0681005

  • Makhdoom I, Abolhasan M, Abbass H, Ni W (2019) Blockchain’s adoption in IoT: The challenges, and a way forward. Journal of Network and Computer Applications 125:251–279

    Google Scholar 

  • Mathivathanan D, Mathiyazhagan K, Rana NP, Khorana S, Dwivedi YK (2021) Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach. Int J Prod Res 59(11):3338–187. https://doi.org/10.1080/00207543.2020.1868597

    Article  Google Scholar 

  • Mavi RK, Zarbakhshnia N, Khazraei A (2018) Bus rapid transit (BRT): A simulation and multi criteria decision making (MCDM) approach. Transp Policy 72:187–197

    Google Scholar 

  • Min H (2019) Blockchain Technology for Enhancing Supply Chain Resilience. Bus Horiz 62(1):35–45

    Google Scholar 

  • Mistry I, Tanwar S, Tyagi S, Kumar N (2020) Blockchain for 5G-enabled IoT for industrial automation: A systematic review, solutions, and challenges. Mechanical Systems and Signal Processing 135:106382

    Google Scholar 

  • Montecchi M, Plangger K, Etter M (2019) It’s Real, Trust me! Establishing Supply Chain Provenance Using Blockchain. Bus Horiz 62(3):283–293

    Google Scholar 

  • Moosavi J, Naeni LM, Fathollahi-Fard AM, Fiore U (2021) Blockchain in supply chain management: a review, bibliometric, and network analysis. Environ Sci Pollut Res, 1–15. https://doi.org/10.1007/s11356-021-13094-3

  • Mostafaeipour A, Dehshiri SJH, Dehshiri SSH (2020a) Ranking locations for producing hydrogen using geothermal energy in Afghanistan. Int J Hydrogen Energy 45(32):15924–15940

    CAS  Google Scholar 

  • Mostafaeipour A, Dehshiri SJH, Dehshiri SSH, Jahangiri M (2020b) Prioritization of potential locations for harnessing wind energy to produce hydrogen in Afghanistan. Int J Hydrogen Energy 45(58):33169–33184

    CAS  Google Scholar 

  • Mostafaeipour A, Dehshiri SSH, Dehshiri SJH, Almutairi K, Taher R, Issakhov A, Techato K (2021) A thorough analysis of renewable hydrogen projects development in Uzbekistan using MCDM methods. Int J Hydrogen Energy 46(61):31174–31190

    CAS  Google Scholar 

  • Mostafaeipour A, Hosseini Dehshiri SJ, Hosseini Dehshiri SS, Jahangiri M, Techato K (2020c) A Thorough Analysis of Potential Geothermal Project Locations in Afghanistan. Sustainability 12(20):8397

    Google Scholar 

  • Mostafaeipour A, Jahangiri M, Haghani A, Dehshiri SJH, Dehshiri SSH, Issakhov A, Sedaghat A, Saghaei H, Akinlabi ET, Sichilalu SM, Chowdhury S, Techato K (2020d) Statistical evaluation of using the new generation of wind turbines in South Africa. Energy Rep 6:2816–2827

    Google Scholar 

  • Mougayar, W. 2016. The Business Blockchain: Promise, Practice, and Application of the Next Internet Technology. Hoboken, NJ: John Wiley & Sons. https://knigavpodarok.com.ua/wa-data/public/site/folder5/blokchein_dlia_biznesa.pdf

  • Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Decentralized Business Review, 21260.

  • Niranjanamurthy M, Nithya BN, Jagannatha S (2019) Analysis of blockchain technology: pros, cons and SWOT. Clust Comput 22(6):14743–14757

    Google Scholar 

  • Oh JS, Shong I (2017) A case study on business model innovations using blockchain: Focusing on financial institutions. Asia Pacific Journal of Innovation and Entrepreneurship 11(3):335–344

    Google Scholar 

  • Opricovic S (1998) Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade 2(1):5–21

    Google Scholar 

  • Öztürk C, Yildizbaşi A (2020) Barriers to implementation of blockchain into supply chain management using an integrated multi-criteria decision-making method: a numerical example. Soft Comput 24(19):14771–14789

    Google Scholar 

  • Pan W, Jian L, Liu T (2019) Grey system theory trends from 1991 to 2018: a bibliometric analysis and visualization. Scientometrics 121(3):1407–1434. https://doi.org/10.1007/s11192-019-03256-z

    Article  Google Scholar 

  • Perboli G, Musso S, Rosano M (2018) Blockchain in logistics and supply chain: A lean approach for designing real-world use cases. IEEE Access 6:62018–62028

    Google Scholar 

  • Prasad S, Shankar R, Gupta R, Roy S (2018) A TISM modeling of critical success factors of blockchain based cloud services. Journal of Advances in Management Research 15(4):434–456. https://doi.org/10.1108/JAMR-03-2018-0027

    Article  Google Scholar 

  • Queiroz MM, Telles R, Bonilla SH (2019) Blockchain and Supply Chain Management Integration: A Systematic Review of the Literature. Supply Chain Manag 25(2):241–254. https://doi.org/10.1108/SCM-03-2018-0143

    Article  Google Scholar 

  • Ramkumar M (2018) Executing large-scale processes in a blockchain. Journal of Capital Markets Studies 2(2):106–120

    Google Scholar 

  • Reyna A, Martin C, Chen J, Soler E, Diaz M (2018) On blockchain and its integration with IoT. Challenges and opportunities. Future Generation Computer Systems 88:173–190

    Google Scholar 

  • Reyna A, Martin C, Chen J, Soler E, Diaz M (2018b) On blockchain and its integration with IoT. Challenges and opportunities. Futur Gener Comput Syst 88:173–190

    Google Scholar 

  • Robinson, A. (2016) “What is Blockchain Technology, and What is Its Potential Impact on the Supply Chain.”  https://cerasis.com/2016/06/29/blockchain-technology/. Accessed 2 Apr 2017

  • Rožman N, Corn M, Požrl T, Diaci J (2019) Distributed logistics platform based on Blockchain and IoT. Procedia CIRP 81:826–831

    Google Scholar 

  • Saberi S, Kouhizadeh M, Sarkis J, Shen L (2019) Blockchain technology and its relationships to sustainable supply chain management. Int J Prod Res 57(7):2117–2135

    Google Scholar 

  • Saberi S, Kouhizadeh M, Sarkis J (2018) Blockchain Technology: A Panacea or Pariah for Resources Conservation and Recycling? Resour Conserv Recycl 130:80–81

    Google Scholar 

  • Shermin V (2017) Disrupting Governance with Blockchains and Smart Contracts. Strateg Chang 26(5):499–509

    Google Scholar 

  • Sikorski JJ, Haughton J, Kraft M (2017) Blockchain Technology in the Chemical Industry: Machine-to-Machine Electricity Market. Appl Energy 195:234–246

    CAS  Google Scholar 

  • Sovacool BK (2017) Reviewing, reforming, and rethinking global energy subsidies: towards a political economy research agenda. Ecol Econ 135:150–163

    Google Scholar 

  • Stanujkic D, Karabasevic D, Zavadskas EK (2015) A framework for the selection of a packaging design based on the SWARA method. Engineering Economics 26(2):181–187. https://doi.org/10.5755/j01.ee.26.2.8820

    Article  Google Scholar 

  • Stanujkic D, Zavadskas EK, Liu S, Karabasevic D, Popovic G (2017) Improved OCRA method based on the use of interval grey numbers. Journal of Grey System 29(4):49–60

    Google Scholar 

  • Swan, M. (2015). Blockchain: Blueprint for a new economy. " O'Reilly Media, Inc.". https://isidore.co/calibre/legacy/get/PDF/5503/CalibreLibrary/Blockchain_%20Blueprint%20for%20a%20Ne%20-%20Swan%2C%20Melanie_5503.pdf

  • Tagde, P., Tagde, S., Bhattacharya, T., Tagde, P., Chopra, H., Akter, R., ... & Rahman, M. (2021). Blockchain and artificial intelligence technology in e-Health. Environmental Science and Pollution Research, 1–22.

  • Tang H, Shi Y, Dong P (2019) Public blockchain evaluation using entropy and TOPSIS. Expert Syst Appl 117:204–210

    Google Scholar 

  • Thakur V, Doja MN, Dwivedi YK, Ahmad T, Khadanga G (2020) Land records on blockchain for implementation of land titling in India. International Journal of Information Management 52:101940

    Google Scholar 

  • Turskis Z, Zavadskas EK (2010) A novel method for multiple criteria analysis: grey additive ratio assessment (ARAS-G) method. Informatica 21(4):597–610

    Google Scholar 

  • Underwood S (2016) Blockchain Beyond Bitcoin. Commun ACM 59(11):15–17

    Google Scholar 

  • van Engelenburg S, Janssen M, Klievink B (2019) Design of a Software Architecture Supporting Business-to-Government Information Sharing to Improve Public Safety and Security. Journal of Intelligent Information Systems 52(3):595–628

    Google Scholar 

  • Venkatesh VG, Kang K, Wang B, Zhong RY, Zhang A (2020) System architecture for blockchain based transparency of supply chain social sustainability. Robotics and Computer-Integrated Manufacturing 63:101896

    Google Scholar 

  • Wu HH (2006) Applying grey model to prioritise technical measures in quality function deployment. The International Journal of Advanced Manufacturing Technology 29(11–12):1278–1283. https://doi.org/10.1007/s00170-005-0016-y

    Article  Google Scholar 

  • Wu XY, Fan ZP, Cao BB (2021) An analysis of strategies for adopting blockchain technology in the fresh product supply chain. International Journal of Production Research, 1-18. https://doi.org/10.1080/00207543.2021.1894497

  • Yadav S, Singh SP (2020) Blockchain Critical Success Factors for Sustainable Supply Chain. Resour Conserv Recycl 152:104505. https://doi.org/10.1016/j.resconrec.2019.104505

    Article  Google Scholar 

  • Yadav VS, Singh AR, Raut RD, Govindarajan UH (2020) Blockchain technology adoption barriers in the Indian agricultural supply chain: an integrated approach. Resources, Conservation and Recycling 161:104877

    Google Scholar 

  • Yang W, Garg S, Huang Z, Kang B (2021) A decision model for blockchain applicability into knowledge-based conversation system. Knowledge-Based Systems 220:106791

    Google Scholar 

  • Yaqoot M, Diwan P, Kandpal TC (2016) Review of barriers to the dissemination of decentralized renewable energy systems. Renew Sustain Energy Rev 58:477–490

    Google Scholar 

  • Yli-Huumo J, Ko D, Choi S, Park S, Smolander K (2016) Where is current research on blockchain technology?—a systematic review. PloS one 11(10):e0163477

    Google Scholar 

  • Yoon J, Talluri S, Yildiz H, Sheu C (2020) The value of Blockchain technology implementation in international trades under demand volatility risk. Int J Prod Res 58(7):2163–2183

    Google Scholar 

  • Yoon K P, Hwang CL (1995) Multiple attribute decision making: an introduction (Vol. 104). Sage publications

  • Yuan Y (2018) Blockchain and cryptocurrencies: Model, techniques, and applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems 48(9):1421–1428

    Google Scholar 

  • Zarezade M, Mostafaeipour A (2016) Identifying the effective factors on implementing the solar dryers for Yazd province. Iran Renewable and Sustainable Energy Reviews 57:765–775

    Google Scholar 

  • Zavadskas EK, Vilutiene T, Turskis Z, Tamosaitiene J (2010) Contractor selection for construction works by applying SAW-G and TOPSIS grey techniques. J Bus Econ Manag 11(1):34–55. https://doi.org/10.3846/jbem.2010.03

    Article  Google Scholar 

  • Zhao G, Liu S, Lopez C, Lu H, Elgueta S, Chen H, Boshkoska BM (2019) Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions. Comput Ind 109:83–99

    Google Scholar 

  • Zohar A (2015) Bitcoin: under the hood. Commun ACM 58(9):104–113

    Google Scholar 

  • Zolfani SH, Yazdani M, Zavadskas EK (2018) An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Comput 22(22):7399–7405. https://doi.org/10.1007/s00500-018-3092-2

    Article  Google Scholar 

Download references

Funding

There was no funding for this research work from any organization or institution.

Author information

Authors and Affiliations

  1. Applied College, Mechanical Engineering Technology, University of Hafr Al Batin, Hafr Al Batin, Saudi Arabia

    Khalid Almutairi

  2. Department of Industrial Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran

    Seyyed Jalaladdin Hosseini Dehshiri

  3. Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran

    Seyyed Shahabaddin Hosseini Dehshiri

  4. Faculty of Economics, Tay Nguyen University, Buon Ma Thuot city, Dak Lak province, Vietnam

    Ao Xuan Hoa

  5. Centre for Automation and Robotics (ANRO), Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Padur, Chennai, 603103, India

    Joshuva Arockia Dhanraj

  6. Industrial Engineering Department, Yazd University, Yazd, Iran

    Ali Mostafaeipour

  7. Environmental Assessment and Technology for Hazardous Waste Management Research Center, Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90110, Thailand

    Joshuva Arockia Dhanraj, Ali Mostafaeipour & Kuaanan Techato

  8. Faculty of Environmental Management, Prince of Songkla University, Hat Yai, Songkhla, 90112, Thailand

    Joshuva Arockia Dhanraj, Ali Mostafaeipour & Kuaanan Techato

  9. Faculty of Mechanics and Mathematics, Department of Mathematical and Computer Modelling, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan

    Alibek Issakhov

  10. Department of Mathematics and Cybernetics, Kazakh-British Technical University, Almaty, 50000, Kazakhstan

    Alibek Issakhov

Authors
  1. Khalid Almutairi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Seyyed Jalaladdin Hosseini Dehshiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Seyyed Shahabaddin Hosseini Dehshiri
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ao Xuan Hoa
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Joshuva Arockia Dhanraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ali Mostafaeipour
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Alibek Issakhov
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Kuaanan Techato
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Ali Mostafaeipour contributed to supervision, writing, conceptualization, software data curation, and software. Seyyed Jalaladdin Hosseini Dehshiri and Ao Xuan Hoa contributed to conceptualization, writing, methodology, software, and software data curation. Seyyed Shahabaddin Hosseini Dehshiri and Joshuva Arockia Dhanraj contributed to reviewing and editing, original draft preparation, visualization, and investigation. Kuaanan Techato contributed to methodology, writing, editing, and software. Khalid Almutairi contributed to conceptualization, writing, software, and editing. Alibek Issakhov contributed to writing, conceptualization, and methodology.

Corresponding author

Correspondence to Kuaanan Techato.

Ethics declarations

Ethical Approval

Not applicable.

Consent to Participate

Not applicable.

Consent to Publish

Not applicable.

Competing Interests

The authors declare that they have no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Almutairi, K., Hosseini Dehshiri, S., Hosseini Dehshiri, S. et al. Blockchain Technology Application Challenges in Renewable Energy Supply Chain Management. Environ Sci Pollut Res 30, 72041–72058 (2023). https://doi.org/10.1007/s11356-021-18311-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-18311-7

Keywords

Search

Navigation