Collaborative adoption of blockchain technology: A supply chain contract perspective

Abstract

The outbreak of COVID-19 has significantly affected the development of enterprises. In the post-pandemic era, blockchain technology has become one of the important technologies to help enterprises quickly gain market competitiveness. The heavy investment required of supply chain stakeholders to employ blockchain technology has hindered its adoption and application. To tackle this issue, this study aims to facilitate the adoption of blockchain technology in a supply chain consisting of a core enterprise and a small/medium-sized enterprise through an effective supply chain contract. We analyze the performance of a cost-sharing (CS) contract and a revenue-sharing (RS) contract and propose a new hybrid CS-RS contract for better performance. We conduct comparative analyses of the three contracts and find that the hybrid CS-RS contract can more effectively incentivize both parties to reach the highest level of blockchain technology adoption and achieve supply chain coordination.

Graphical abstract

Keywords

blockchain / collaborative adoption / cost sharing / revenue sharing / hybrid contract

References

[1] Appelbaum, D Smith, S S (2018). Blockchain basics and hands-on guidance: Taking the next step toward implementation and adoption. The CPA Journal, 88( 6): 28–37

[2] Aslam, J Saleem, A Khan, N T Kim, Y B (2021). Factors influencing blockchain adoption in supply chain management practices: A study based on the oil industry. Journal of Innovation & Knowledge, 6( 2): 124–134

[3] Awasthy, P Hazra, J (2020). Collaboration under outcome-based contracts for information technology services. European Journal of Operational Research, 286( 1): 350–359

[4] Azzi, R Chamoun, R K Sokhn, M (2019). The power of a blockchain-based supply chain. Computers & Industrial Engineering, 135: 582–592

[5] Babich, V Hilary, G (2020). Distributed ledgers and operations: What operations management researchers should know about blockchain technology. Manufacturing & Service Operations Management, 22( 2): 223–240

[6] Banerjee, A (2018). Blockchain technology: Supply chain insights from ERP. Advances in Computers, 111: 69–98

[7] Barratt, M (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management, 9( 1): 30–42

[8] Bellamy, M A Ghosh, S Hora, M (2014). The influence of supply network structure on firm innovation. Journal of Operations Management, 32( 6): 357–373

[9] BrowneR (2017). There were more than 26000 new blockchain projects last year: Only 8% are still active

[10] Cachon, G P Lariviere, M A (2005). Supply chain coordination with revenue-sharing contracts: Strengths and limitations. Management Science, 51( 1): 30–44

[11] Cai, W Wang, Z H Ernst, J B Hong, Z Feng, C Leung, V C M (2018). Decentralized applications: The blockchain-empowered software system. IEEE Access, 6: 53019–53033

[12] Cao, M Vonderembse, M A Zhang, Q Ragu-Nathan, T S (2010). Supply chain collaboration: Conceptualisation and instrument development. International Journal of Production Research, 48( 22): 6613–6635

[13] Chakraborty, T Chauhan, S S Ouhimmou, M (2019). Cost-sharing mechanism for product quality improvement in a supply chain under competition. International Journal of Production Economics, 208: 566–587

[14] Chao, G H Iravani, S M R Savaskan, R C (2009). Quality improvement incentives and product recall cost sharing contracts. Management Science, 55( 7): 1122–1138

[15] Chen, C (2001). Design for the environment: A quality-based model for green product development. Management Science, 47( 2): 250–263

[16] Choi, T M Wen, X Sun, X Chung, S H (2019). The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era. Transportation Research Part E: Logistics and Transportation Review, 127: 178–191

[17] Christidis, K Devetsikiotis, M (2016). Blockchains and smart contracts for the Internet of Things. IEEE Access, 4: 2292–2303

[18] Chu, L Y Sappington, D E M (2009). Implementing high-powered contracts to motivate intertemporal effort supply. RAND Journal of Economics, 40( 2): 296–316

[19] Claudia, P Tudor, C Marcel, A (2018). Blockchain based decentralized management of demand response programs in smart energy grids. Sensors, 18( 1): 162

[20] Cui, Q Chiu, C H Dai, X Li, Z (2016). Store brand introduction in a two-echelon logistics system with a risk-averse retailer. Transportation Research Part E: Logistics and Transportation Review, 90: 69–89

[21] da Cunha, P R Soja, P Themistocleous, M (2021). Blockchain for development: A guiding framework. Information Technology for Development, 27( 3): 417–438

[22] Davidson, S de Filippi, P Potts, J (2018). Blockchains and the economic institutions of capitalism. Journal of Institutional Economics, 14( 4): 639–658

[23] Delloite (2019). Delloite’s 2019 global blockchain survey: Blockchain gets down to business. Online Report

[24] Dolgui, A Ivanov, D Rozhkov, M (2020). Does the ripple effect influence the bullwhip effect? An integrated analysis of structural and operational dynamics in the supply chain(dagger). International Journal of Production Research, 58( 5): 1285–1301

[25] Ghosh, D Shah, J (2015). Supply chain analysis under green sensitive consumer demand and cost sharing contract. International Journal of Production Economics, 164: 319–329

[26] Gong, X M Gao, L Chen, Y Wu, Z (2021). Effort exertion and contract design in collaborative product development with fairness concern. Journal of Modelling in Management, 16( 2): 527–557

[27] Hayrutdinov, S Saeed, M S R Rajapov, A (2020). Coordination of supply chain under blockchain system-based product lifecycle information sharing effort. Journal of Advanced Transportation, 5635404

[28] Helo, P Shamsuzzoha, A H M (2020). Real-time supply chain: A blockchain architecture for project deliveries. Robotics and Computer-Integrated Manufacturing, 63: 101909

[29] Heydari, J Asl-Najafi, J (2021). A revised sales rebate contract with effort-dependent demand: A channel coordination approach. International Transactions in Operational Research, 28( 1): 438–469

[30] Huang, L Lin, Y Zhou, L (2016). Supply chain collaboration: A triadic view. In: Proceedings of International Conference on Industrial Engineering and Engineering Management. Bali: IEEE, 109–113

[31] Jiang, L Wang, Y Liu, D (2016). Logistics cost sharing in supply chains involving a third-party logistics provider. Central European Journal of Operations Research, 24( 1): 207–230

[32] Kamble, S S Gunasekaran, A Gawankar, S A (2020). Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. International Journal of Production Economics, 219: 179–194

[33] Karafiloski, E Mishev, A (2017). Blockchain solutions for big data challenges: A literature review. In: Proceedings of 17th International Conference on Smart Technologies. Ohrid: IEEE, 763–768

[34] Khan, H H Malik, M N Konecna, Z Chofreh, A G Goni, F A Klemes, J J (2022). Blockchain technology for agricultural supply chains during the COVID-19 pandemic: Benefits and cleaner solutions. Journal of Cleaner Production, 347: 131268

[35] Kim, S Cohen, M A Netessine, S (2007). Performance contracting in after-sales service supply chains. Management Science, 53( 12): 1843–1858

[36] Kumar Bhardwaj, A Garg, A Gajpal, Y (2021). Determinants of blockchain technology adoption in supply chains by small and medium enterprises (SMEs) in India. Mathematical Problems in Engineering, 5537395

[37] Leng, M Parlar, M (2010). Game-theoretic analyses of decentralized assembly supply chains: Non-cooperative equilibria vs. coordination with cost-sharing contracts. European Journal of Operational Research, 204( 1): 96–104

[38] Li, J Zhu, S Zhang, W Yu, L (2020). Blockchain-driven supply chain finance solution for small and medium enterprises. Frontiers of Engineering Management, 7( 4): 500–511

[39] Li, Q Wang, Z Cao, Z Du, R Luo, H (2014). Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents. Enterprise Information Systems, 9( 5–6): 1–31

[40] Li, Y Huang, J Q Qin, S Z Wang, R J (2017). Big data model of security sharing based on blockchain. In: Proceedings of 3rd International Conference on Big Data Computing and Communications (BIGCOM). Chengdu: IEEE, 117–121

[41] Liu, L X Zhang, J Z He, W Li, W Z (2021a). Mitigating information asymmetry in inventory pledge financing through the Internet of Things and blockchain. Journal of Enterprise Information Management, 34( 5): 1429–1451

[42] Liu, W Hou, J Yan, X Tang, O (2021b). Smart logistics transformation collaboration between manufacturers and logistics service providers: A supply chain contracting perspective. Journal of Management Science and Engineering, 6( 1): 25–52

[43] Liu, W Liang, Y Bao, X Qin, J Lim, M K (2022a). China’s logistics development trends in the post COVID-19 era. International Journal of Logistics Research Applications, 25( 6): 965–976

[44] Liu, W Shen, X Xie, D (2017a). Decision method for the optimal number of logistics service providers with service quality guarantee and revenue fairness. Applied Mathematical Modelling, 48: 53–69

[45] Liu, W Wang, D Shen, X Yan, X Wei, W (2018). The impacts of distributional and peer-induced fairness concerns on the decision-making of order allocation in logistics service supply chain. Transportation Research Part E: Logistics and Transportation Review, 116: 102–122

[46] Liu, W Wang, S Chen, L (2017b). The role of control power allocation in service supply chains: Model analysis and empirical examination. Journal of Purchasing and Supply Management, 23( 3): 176–190

[47] Liu, W Wei, W Choi, T M Yan, X (2022b). Impacts of leadership on corporate social responsibility management in multi-tier supply chains. European Journal of Operational Research, 299( 2): 483–496

[48] Liu, W Wei, W Zhu, D (2021c). Service capacity procurement in logistics service supply chain with demand updating and reciprocal behaviour. European Journal of Industrial Engineering, 15( 1): 35–66

[49] Ma, P Wang, H Shang, J (2013). Contract design for two-stage supply chain coordination: Integrating manufacturer-quality and retailer-marketing efforts. International Journal of Production Economics, 146( 2): 745–755

[50] Manthou, V Vlachopoulou, M Folinas, D (2004). Virtual e-chain model for supply chain collaboration. International Journal of Production Economics, 87( 3): 241–250

[51] Massimino, B Gray, J Boyer, K (2017). The effects of agglomeration and national property rights on digital confidentiality performance. Production and Operations Management, 26( 1): 162–179

[52] Meng, W Tischhauser, E W Wang, Q Wang, Y Han, J (2018). When intrusion detection meets blockchain technology: A review. IEEE Access, 6: 10179–10188

[53] Mengelkamp, E Garttner, J Rock, K Kessler, S Orsini, L Weinhardt, C (2018). Designing microgrid energy markets: A case study, the Brooklyn Microgrid. Applied Energy, 210: 870–880

[54] Moorthy, K S Png, I P L (1992). Market segmentation, cannibalization, and the timing of product introductions. Management Science, 38( 3): 345–359

[55] MortimerJ H (2000). The effects of revenue-sharing contracts on welfare in vertically separated markets evidence from the video rental industry. Los Angeles, CA: University of California

[56] Nayak, G Dhaigude, A S (2019). A conceptual model of sustainable supply chain management in small and medium enterprises using blockchain technology. Cogent Economics & Finance, 7( 1): 1667184

[57] Omohundro, S (2014). Cryptocurrencies, smart contracts, and artificial intelligence. AI Matters, 1( 2): 19–21

[58] Ottati, G D (1996). Economic changes in the district of Prato in the 1980s: Towards a more conscious and organized industrial district. European Planning Studies, 4( 1): 35–52

[59] Palsule-Desai, O D (2013). Supply chain coordination using revenue dependent revenue sharing contracts. Omega, 41( 4): 780–796

[60] Parks, M Bansal, S Zilberman, D (2015). Technology adoption under fit risk: What should development project donors and managers know?. Procedia Engineering, 107: 3–10

[61] Pasternack, B (1985). Optimal pricing and returns policies for perishable commodities. Marketing Science, 4( 2): 166–176

[62] Pereira, J Tavalaei, M M Ozalp, H (2019). Blockchain-based platforms: Decentralized infrastructures and its boundary conditions. Technological Forecasting and Social Change, 146: 94–102

[63] Powell, W W Koput, K W Smith-Doerr, L (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41( 1): 116–145

[64] Qu, T Lei, S P Wang, Z Z Nie, D X Chen, X Huang, G Q (2016). IoT-based real-time production logistics synchronization system under smart cloud manufacturing. The International Journal of Advanced Manufacturing Technology, 84( 1–4): 147–164

[65] Ran, W Wang, Y Yang, L Liu, S (2020). Coordination mechanism of supply chain considering the Bullwhip Effect under digital technologies. Mathematical Problems in Engineering, 3217927

[66] Ricciardi, F Zardini, A Rossignoli, C (2018). Organizational integration of the IT function: A key enabler of firm capabilities and performance. Journal of Innovation & Knowledge, 3( 3): 93–107

[67] Rimba, P Tran, A B Weber, I Staples, M Ponomarev, A Xu, X (2020). Quantifying the cost of distrust: Comparing blockchain and cloud services for business process execution. Information Systems Frontiers, 22( 2): 489–507

[68] RozakH AAdhiatmaAFachrunnisaORahayuT (2021). Social media engagement, organizational agility and digitalization strategic plan to improve SMEs’ performance. IEEE Transactions on Engineering Management, in press,

[69] Savaskan, R C Bhattacharya, S van Wassenhove, L N (2004). Closed-loop supply chain models with product remanufacturing. Management Science, 50( 2): 239–252

[70] Schmidt, C G Wagner, S M (2019). Blockchain and supply chain relations: A transaction cost theory perspective. Journal of Purchasing and Supply Management, 25( 4): 100552

[71] ShiXLiuWZhangJ (2021). Present and future trends of supply chain management in the presence of COVID-19: A structured literature review. International Journal of Logistics Research and Applications, in press,

[72] Simatupang, T M Sridharan, R (2004). A benchmarking scheme for supply chain collaboration. Benchmarking, 11( 1): 9–30

[73] Song, B Jin, P Zhao, L (2019). Incentive mechanism of R&D firms’ collaborative innovation based on organisational ambidexterity. Discrete Dynamics in Nature and Society, 6750123

[74] Spengler, J (1950). Vertical integration and antitrust policy. Journal of Political Economy, 58( 4): 347–352

[75] SwanM (2015). Blockchain: Blueprint for a New Economy. Sebastopol: O’ Reilly Media, Inc.

[76] Thomas, O (1997). The art and science of synergy: The case of the auto industry. Business Horizons, 3: 23–35

[77] Um, K H Kim, S M (2019). The effects of supply chain collaboration on performance and transaction cost advantage: The moderation and nonlinear effects of governance mechanisms. International Journal of Production Economics, 217: 97–111

[78] Wang, C Hu, Q (2020). Knowledge sharing in supply chain networks: Effects of collaborative innovation activities and capability on innovation performance. Technovation, 94–95: 102010

[79] Wang, J Liu, J Wang, F Yue, X (2021). Blockchain technology for port logistics capability: Exclusive or sharing. Transportation Research Part B: Methodological, 149: 347–392

[80] WeiWLiuWTangODongCLiangY (2022). CSR investment for a two-sided platform: Network externality and risk aversion. European Journal of Operational Research, in press,

[81] Wei, Y Choi, T M (2010). Mean-variance analysis of supply chains under wholesale pricing and profit sharing schemes. European Journal of Operational Research, 204( 2): 255–262

[82] Wu, L P F Lu, W S Zhao, R Xu, J Y Li, X Xue, F (2022). Using blockchain to improve information sharing accuracy in the onsite assembly of modular construction. Journal of Management Engineering, 38( 3): 04022014

[83] Xiao, Y G Xu, B Jiang, W H Wu, Y J (2021). The healthchain blockchain for electronic health records: Development study. Journal of Medical Internet Research, 23( 1): e13556

[84] Xie, Y Tai, A H Ching, W K Siu, T K (2016). Pricing strategy for a two-echelon supply chain with optimized return effort level. International Journal of Production Economics, 182: 185–195

[85] Xu, X L Zhu, D W Yang, X X Wang, S Qi, L Y Dou, W C (2021). Concurrent practical byzantine fault tolerance for integration of blockchain and supply chain. ACM Transactions on Internet Technology, 21( 1): 7

[86] Yalabik, B Chhajed, D Petruzzi, N C (2014). Product and sales contract design in remanufacturing. International Journal of Production Economics, 154: 299–312

[87] Yan, X (2015). Contract efficiency for a decentralized supply chain in the presence of quality improvement. International Transactions in Operational Research, 22( 4): 713–734

[88] Yan, X Zaric, G S (2016). Families of supply chain coordinating contracts in the presence of retailer effort. International Journal of Production Economics, 175: 213–225

[89] YangHDuJ (2016). Study on efficiency of supply chain based on single revenue sharing contract and double contracts combination. In: Proceedings of International Conference on Logistics, Informatics and Service Sciences (LISS). Sydney, NSW: IEEE, 1–7

[90] Yang, T J Li, C M Yue, X P Zhang, B B (2022). Decisions for blockchain adoption and information sharing in a low carbon supply chain. Mathematics, 10( 13): 2233

[91] Yatsuka, T Ishigaki, A Gupta, S M Kinoshita, Y Yamada, T Inoue, M (2020). Collaboration strategy for a decentralized supply chain using linear physical programming. International Journal of Automotive Technology, 14( 5): 723–733

[92] Yoshino, N Taghizadeh-Hesary, F (2019). Optimal credit guarantee ratio for small and medium-sized enterprises’ financing: Evidence from Asia. Economic Analysis and Policy, 62: 342–356

[93] Zeng, Y Zhang, Y (2019). Review of research on blockchain application development method. Journal of Physics: Conference Series, 1187( 5): 052005

[94] Zhang, P Zhou, Y (2016). Innovation investment and revenue sharing in collaborative new product development. In: Proceedings of 13th International Conference on Service Systems and Service Management. Kunming: IEEE, 1–6

[95] Zhang, Y B Hafezi, M Zhao, X Shi, V (2017). The impact of development cost on product line design and its environmental performance. International Journal of Production Economics, 184: 122–130

[96] Zhang, Z J Liu, W (2008). Double moral hazard and compensatory contract design for collaborative product development in supply chain. Science Research Management, 29( 5): 102–110

[97] Zhao, W J (2019). Blockchain technology: Development and prospects. National Science Review, 6( 2): 369–373

[98] Zhou, P Xu, H Wang, H W (2020). Value of by-product synergy: A supply chain perspective. European Journal of Operational Research, 285( 3): 941–954

[99] Zou, Y J Meng, T Zhang, P Zhang, W Li, H (2020). Focus on blockchain: A comprehensive survey on academic and application. IEEE Access, 8: 187182–187201

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