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Investigating the link between transaction and computational costs in a blockchain environment

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  • Abdul Jabbar
  • Samir Dani

Abstract

The research and thinking pertaining to blockchain have thus far focused on cryptocurrency and Bitcoin. However, there is increased interest in using the technology to solve operational challenges in manufacturing and service supply chains. In this study, we introduce a new implication of using blockchain technology and propose two unique contributions. First, we introduce the notion of computational costs (measured in units of gas) as an essential mechanism for completing operational transactions in the blockchain environment. Second, we discuss the use of smart contracts and their influence on operational transactions. To investigate the link between blockchain transaction and computational costs, this study uses an experimental methodology. We develop and implement a fully functional virtual public blockchain to store, validate, and maintain transactions. The methodology provides a process to measure the computational costs, frequency, and intensity of transactions. This research contributes to conceptual research on the blockchain implementation paradigm. Its novelty stems from the identification of computational costs for operational transactions and use of an experimental methodology. This research provides managers an insight into the design of smart contract transactions in a supply chain from a cost perspective.

Suggested Citation

  • Abdul Jabbar & Samir Dani, 2020. "Investigating the link between transaction and computational costs in a blockchain environment," International Journal of Production Research, Taylor & Francis Journals, vol. 58(11), pages 3423-3436, June.
    • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:11:p:3423-3436
    DOI: 10.1080/00207543.2020.1754487
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    Citations

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    Cited by:

    1. Devine, Anthony & Jabbar, Abdul & Kimmitt, Jonathan & Apostolidis, Chrysostomos, 2021. "Conceptualising a social business blockchain: The coexistence of social and economic logics," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    2. Saumyaranjan Sahoo & Satish Kumar & Uthayasankar Sivarajah & Weng Marc Lim & J. Christopher Westland & Ashwani Kumar, 2024. "Blockchain for sustainable supply chain management: trends and ways forward," Electronic Commerce Research, Springer, vol. 24(3), pages 1563-1618, September.
    3. Muhammad Waseem & Muhammad Adnan Khan & Arman Goudarzi & Shah Fahad & Intisar Ali Sajjad & Pierluigi Siano, 2023. "Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges," Energies, MDPI, vol. 16(2), pages 1-29, January.
    4. Amin Vafadarnikjoo & Hadi Badri Ahmadi & James J. H. Liou & Tiago Botelho & Konstantinos Chalvatzis, 2023. "Analyzing blockchain adoption barriers in manufacturing supply chains by the neutrosophic analytic hierarchy process," Annals of Operations Research, Springer, vol. 327(1), pages 129-156, August.
    5. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Gianpaolo Iazzolino & Francesca Guerriero & Luigino Filice & Giorgio Scarpelli, 2023. "A blockchain-based approach for food surplus management," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 69(7), pages 276-283.
    7. Choi, Tsan-Ming & Siqin, Tana, 2022. "Blockchain in logistics and production from Blockchain 1.0 to Blockchain 5.0: An intra-inter-organizational framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    8. Hossein Havaeji & Thien-My Dao & Tony Wong, 2023. "Supervised Learning by Evolutionary Computation Tuning: An Application to Blockchain-Based Pharmaceutical Supply Chain Cost Model," Mathematics, MDPI, vol. 11(9), pages 1-19, April.
    9. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.
    10. Kirli, Desen & Couraud, Benoit & Robu, Valentin & Salgado-Bravo, Marcelo & Norbu, Sonam & Andoni, Merlinda & Antonopoulos, Ioannis & Negrete-Pincetic, Matias & Flynn, David & Kiprakis, Aristides, 2022. "Smart contracts in energy systems: A systematic review of fundamental approaches and implementations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    11. Hossein Havaeji & Thien-My Dao & Tony Wong, 2023. "Cost Prediction in Blockchain-Enabled Pharmaceutical Supply Chain under Uncertain Demand," Mathematics, MDPI, vol. 11(22), pages 1-27, November.
    12. Atanu Chaudhuri & Manjot Singh Bhatia & Yasanur Kayikci & Kiran J. Fernandes & Samuel Fosso-Wamba, 2023. "Improving social sustainability and reducing supply chain risks through blockchain implementation: role of outcome and behavioural mechanisms," Annals of Operations Research, Springer, vol. 327(1), pages 401-433, August.
    13. Surucu-Balci, Ebru & Iris, Çağatay & Balci, Gökcay, 2024. "Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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