How to cite this paper
Kalbouneh, N., Bataineh, K., Al-Hamad, A., Dwakat, M., Abualoush, S., Almasarweh, M & Al-Smadi, R. (2023). The effects of the blockchain technology and big data analytics on supply chain performance: The mediating effect supply chain risk management.Uncertain Supply Chain Management, 11(3), 903-914.
Refrences
Ahlqvist, V., Dube, N., Jahre, M., Lee, J. S., Melaku, T., Moe, A. F., ... & Aardal, C. (2023). Supply chain risk management strategies in normal and abnormal times: policymakers' role in reducing generic medicine shortages. International Journal of Physical Distribution & Logistics Management, 53(2), 206-230.
Al-Khatib, A.W. & Ahmed, S. (2022). Green intellectual capital and green supply chain performance: does big data analytics capabilities matter?. Sustainability, 14(16), 10054.
Al-Khatib, A.W. (2022a). Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model. Business Process Management Journal, 28(4), 1025-1046.
Al-Khatib, A.W. (2022b). Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan. EuroMed Journal of Business, 17(3), 391-423.
Al-Khatib, A.W. (2022). Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity. Business Process Management Journal, 28(5/6), 1446-1471.
Al-Khatib, A.W. (2023). Internet of things, big data analytics and operational performance: the mediating effect of supply chain visibility. Journal of Manufacturing Technology Management, 34(1), 1-24.
Anusha, D.J., Panga, M., Fauzi, A.H., Sreeram, A., Issabayev, A. & Arailym, N. (2022). Big data analytics role in managing complex supplier networks and inventory management. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),533-538, IEEE.
Bag, S., Dhamija, P., Luthra, S., & Huisingh, D. (2021a). How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic. The International Journal of Logistics Management, (ahead-of-print)
Bag, S., Luthra, S., Mangla, S. K., & Kazancoglu, Y. (2021b). Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance. The International Journal of Logistics Management, 32(3), 742-765
Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources. Conservation and Recycling, 153, 104559
Bagal, H., Soltanabad, Y., Dadjuo, M., Wakil, K., & Ghadimi, N. (2018). Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory. Solar Energy, 169, 343-352
Bandaly, D., Satir, A., Kahyaoglu, Y., & Shanker, L. (2012). Supply chain risk management–I: Conceptualization, framework and planning process. Risk Management, 14, 249-271.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120.
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 57(7), 2179-2202.
Bechtsis, D., Tsolakis, N., Iakovou, E., & Vlachos, D. (2022). Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework. International Journal of Production Research, 60(14), 4397-4417.
Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: a bibliometric review. Supply Chain Management: An International Journal, 27(2), 182-206.
Birkel, H. S., & Hartmann, E. (2019). Impact of IoT challenges and risks for SCM. Supply Chain Management: An International Journal, 24(1),39-61.
Bollen, K. A. (1989). Structural equations with latent variables (Vol. 210). John Wiley & Sons.
Can Saglam, Y., Yildiz Çankaya, S., & Sezen, B. (2021). Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey. Journal of Manufacturing Technology Management, 32(6), 1224-1244.
Capurro, R., Fiorentino, R., Garzella, S., & Giudici, A. (2021). Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?. European Journal of Innovation Management, 25(6), 273-294.
Casado-Vara, R., Prieto, J., De la Prieta, F., & Corchado, J. M. (2018). How blockchain improves the supply chain: Case study alimentary supply chain. Procedia computer science, 134, 393-398.
Chiarini, A., Belvedere, V., & Grando, A. (2020). Industry 4.0 strategies and technological developments. An exploratory research from Italian manufacturing companies. Production Planning & Control, 31(16), 1385-1398.
Choi, T. M., Chan, H. K., & Yue, X. (2016). Recent development in big data analytics for business operations and risk management. IEEE transactions on cybernetics, 47(1), 81-92.
Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply Chain Management: An International Journal, 24(4), 469-483.
de Assis Santos, L., & Marques, L. (2022). Big data analytics for supply chain risk management: research opportunities at process crossroads. Business Process Management Journal, 28(4), 1117-1145.
Dolgui, A., Ivanov, D., Potryasaev, S., Sokolov, B., Ivanova, M., & Werner, F. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184-2199.
Dubey, R., Luo, Z., Gunasekaran, A., Akter, S., Hazen, B. T., & Douglas, M. A. (2018). Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust. The International Journal of Logistics Management, 29(2),485-512
Duong, N. H., & Ha, Q. A. (2021). The links between supply chain risk management practices, supply chain integration and supply chain performance in Southern Vietnam: A moderation effect of supply chain social sustainability. Cogent Business & Management, 8(1), 1999556.
Durst, S., Hinteregger, C., & Zieba, M. (2019). The linkage between knowledge risk management and organizational performance. Journal of Business Research, 105, 1-10.
El Baz, J., & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, 107972.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International journal of physical distribution & logistics management, 48(3), 205-230.
Gaur, N. (2020). Blockchain challenges in adoption. Managerial Finance, 46(6), 849-858.
Giri, G., & Manohar, H. L. (2023). Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model. Supply Chain Management: An International Journal, 28(1), 1-24.
Grimm, C. M. (2004). The practice of supply chain management: where theory and application converge. Transportation Journal, 43(2), 59-61.
Hopkins, J. L. (2021). An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia. Computers in Industry, 125, 103323.
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
Jang, H.-W., Yoo, J.J.-E., & Cho, M. (2023). Resistance to blockchain adoption in the foodservice industry: moderating roles of public pressures and climate change awareness. International Journal of Contemporary Hospitality Management, ahead-of-print.
Kara, M. E., Fırat, S. Ü. O., & Ghadge, A. (2020). A data mining-based framework for supply chain risk management. Computers & Industrial Engineering, 139, 105570.
Kilubi, I., & Rogers, H. (2018). Bridging the gap between supply chain risk management and strategic technology partnering capabilities: insights from social capital theory. Supply Chain Management, 23(4), 278-292.
Lee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business horizons, 60(3), 293-303.
Mai, N. K., Do, T. T., & Ho Nguyen, D. T. (2022). The impact of leadership competences, organizational learning and organizational innovation on business performance. Business Process Management Journal, 28(5/6), 1391-1411.
Penrose, E.T. (1995). The Theory of the Growth of the Firm. Wiley, New York, NY.
Philsoophian, M., Akhavan, P., & Namvar, M. (2022). The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Management Decision, 60(3), 784-805.
Prakash, S., Soni, G., & Rathore, A. P. S. (2017). A critical analysis of supply chain risk management content: a structured literature review. Journal of Advances in Management Research, 14(1), 69-90.
Queiroz, M. M., & Telles, R. (2018). Big data analytics in supply chain and logistics: an empirical approach. The International Journal of Logistics Management, 29(2), 767-783.
Rauniyar, K., Wu, X., Gupta, S., Modgil, S., & de Sousa Jabbour, A. B. L. (2022). Risk management of supply chains in the digital transformation era: Contribution and challenges of blockchain technology. Industrial Management & Data Systems, (ahead-of-print).
Rogerson, M., & Parry, G. C. (2020). Blockchain: case studies in food supply chain visibility. Supply Chain Management: An International Journal, 25(5), 601-614.
Roy, S. K., Ganguli, R., & Goswami, S. (2020). Transformation of supply chain provenance using blockchain—A short review. Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018, 583-593.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117-2135.
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.
Schoenherr, T., & Speier‐Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics, 36(1), 120-132.
Singh, N.P. & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation. Benchmarking: An International Journal, 26(7), 2318-2342.
Spieske, A., & Birkel, H. (2021). Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic. Computers & Industrial Engineering, 158, 107452.
Sun, B., & Liu, Y. (2021). Business model designs, big data analytics capabilities and new product development performance: Evidence from China. European Journal of Innovation Management, 24(4), 1162-1183.
Wan, W., & Liu, L. (2021). Intrapreneurship in the digital era: driven by big data and human resource management?. Chinese Management Studies, 15(4), 843-875.
Wang, G., Gunasekaran, A., Ngai, E. W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International journal of production economics, 176, 98-110.
Waqas, M., Honggang, X., Ahmad, N., Khan, S. A. R., & Iqbal, M. (2021). Big data analytics as a roadmap towards green innovation, competitive advantage and environmental performance. Journal of Cleaner Production, 323, 128998.
Waqas, U., Abd Rahman, A., Ismail, N. W., Kamal Basha, N., & Umair, S. (2022). Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce. Annals of Operations Research, 1-29.
Yildiz Çankaya, S., Can Saglam, Y., & Sezen, B. (2022). Mapping the landscape of organizational theories for future research themes in supply chain risk management. Asia-Pacific Journal of Business Administration, (ahead-of-print).
Yu, K., Luo, B. N., Feng, X., & Liu, J. (2018). Supply chain information integration, flexibility, and operational performance: An archival search and content analysis. The International Journal of Logistics Management, 29(1), 340-364.
Zouari, D., Ruel, S., & Viale, L. (2021). Does digitalising the supply chain contribute to its resilience?. International Journal of Physical Distribution & Logistics Management, 51(2), 149-180.
Al-Khatib, A.W. & Ahmed, S. (2022). Green intellectual capital and green supply chain performance: does big data analytics capabilities matter?. Sustainability, 14(16), 10054.
Al-Khatib, A.W. (2022a). Can big data analytics capabilities promote a competitive advantage? Green radical innovation, green incremental innovation and data-driven culture in a moderated mediation model. Business Process Management Journal, 28(4), 1025-1046.
Al-Khatib, A.W. (2022b). Intellectual capital and innovation performance: the moderating role of big data analytics: evidence from the banking sector in Jordan. EuroMed Journal of Business, 17(3), 391-423.
Al-Khatib, A.W. (2022). Big data analytics capabilities and green supply chain performance: investigating the moderated mediation model for green innovation and technological intensity. Business Process Management Journal, 28(5/6), 1446-1471.
Al-Khatib, A.W. (2023). Internet of things, big data analytics and operational performance: the mediating effect of supply chain visibility. Journal of Manufacturing Technology Management, 34(1), 1-24.
Anusha, D.J., Panga, M., Fauzi, A.H., Sreeram, A., Issabayev, A. & Arailym, N. (2022). Big data analytics role in managing complex supplier networks and inventory management. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),533-538, IEEE.
Bag, S., Dhamija, P., Luthra, S., & Huisingh, D. (2021a). How big data analytics can help manufacturing companies strengthen supply chain resilience in the context of the COVID-19 pandemic. The International Journal of Logistics Management, (ahead-of-print)
Bag, S., Luthra, S., Mangla, S. K., & Kazancoglu, Y. (2021b). Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance. The International Journal of Logistics Management, 32(3), 742-765
Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020). Big data analytics as an operational excellence approach to enhance sustainable supply chain performance. Resources. Conservation and Recycling, 153, 104559
Bagal, H., Soltanabad, Y., Dadjuo, M., Wakil, K., & Ghadimi, N. (2018). Risk-assessment of photovoltaic-wind-battery-grid based large industrial consumer using information gap decision theory. Solar Energy, 169, 343-352
Bandaly, D., Satir, A., Kahyaoglu, Y., & Shanker, L. (2012). Supply chain risk management–I: Conceptualization, framework and planning process. Risk Management, 14, 249-271.
Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of management, 17(1), 99-120.
Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 57(7), 2179-2202.
Bechtsis, D., Tsolakis, N., Iakovou, E., & Vlachos, D. (2022). Data-driven secure, resilient and sustainable supply chains: gaps, opportunities, and a new generalised data sharing and data monetisation framework. International Journal of Production Research, 60(14), 4397-4417.
Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: a bibliometric review. Supply Chain Management: An International Journal, 27(2), 182-206.
Birkel, H. S., & Hartmann, E. (2019). Impact of IoT challenges and risks for SCM. Supply Chain Management: An International Journal, 24(1),39-61.
Bollen, K. A. (1989). Structural equations with latent variables (Vol. 210). John Wiley & Sons.
Can Saglam, Y., Yildiz Çankaya, S., & Sezen, B. (2021). Proactive risk mitigation strategies and supply chain risk management performance: an empirical analysis for manufacturing firms in Turkey. Journal of Manufacturing Technology Management, 32(6), 1224-1244.
Capurro, R., Fiorentino, R., Garzella, S., & Giudici, A. (2021). Big data analytics in innovation processes: which forms of dynamic capabilities should be developed and how to embrace digitization?. European Journal of Innovation Management, 25(6), 273-294.
Casado-Vara, R., Prieto, J., De la Prieta, F., & Corchado, J. M. (2018). How blockchain improves the supply chain: Case study alimentary supply chain. Procedia computer science, 134, 393-398.
Chiarini, A., Belvedere, V., & Grando, A. (2020). Industry 4.0 strategies and technological developments. An exploratory research from Italian manufacturing companies. Production Planning & Control, 31(16), 1385-1398.
Choi, T. M., Chan, H. K., & Yue, X. (2016). Recent development in big data analytics for business operations and risk management. IEEE transactions on cybernetics, 47(1), 81-92.
Cole, R., Stevenson, M., & Aitken, J. (2019). Blockchain technology: implications for operations and supply chain management. Supply Chain Management: An International Journal, 24(4), 469-483.
de Assis Santos, L., & Marques, L. (2022). Big data analytics for supply chain risk management: research opportunities at process crossroads. Business Process Management Journal, 28(4), 1117-1145.
Dolgui, A., Ivanov, D., Potryasaev, S., Sokolov, B., Ivanova, M., & Werner, F. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research, 58(7), 2184-2199.
Dubey, R., Luo, Z., Gunasekaran, A., Akter, S., Hazen, B. T., & Douglas, M. A. (2018). Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust. The International Journal of Logistics Management, 29(2),485-512
Duong, N. H., & Ha, Q. A. (2021). The links between supply chain risk management practices, supply chain integration and supply chain performance in Southern Vietnam: A moderation effect of supply chain social sustainability. Cogent Business & Management, 8(1), 1999556.
Durst, S., Hinteregger, C., & Zieba, M. (2019). The linkage between knowledge risk management and organizational performance. Journal of Business Research, 105, 1-10.
El Baz, J., & Ruel, S. (2021). Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era. International Journal of Production Economics, 233, 107972.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International journal of physical distribution & logistics management, 48(3), 205-230.
Gaur, N. (2020). Blockchain challenges in adoption. Managerial Finance, 46(6), 849-858.
Giri, G., & Manohar, H. L. (2023). Factors influencing the acceptance of private and public blockchain-based collaboration among supply chain practitioners: a parallel mediation model. Supply Chain Management: An International Journal, 28(1), 1-24.
Grimm, C. M. (2004). The practice of supply chain management: where theory and application converge. Transportation Journal, 43(2), 59-61.
Hopkins, J. L. (2021). An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia. Computers in Industry, 125, 103323.
Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32(9), 775-788.
Jang, H.-W., Yoo, J.J.-E., & Cho, M. (2023). Resistance to blockchain adoption in the foodservice industry: moderating roles of public pressures and climate change awareness. International Journal of Contemporary Hospitality Management, ahead-of-print.
Kara, M. E., Fırat, S. Ü. O., & Ghadge, A. (2020). A data mining-based framework for supply chain risk management. Computers & Industrial Engineering, 139, 105570.
Kilubi, I., & Rogers, H. (2018). Bridging the gap between supply chain risk management and strategic technology partnering capabilities: insights from social capital theory. Supply Chain Management, 23(4), 278-292.
Lee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business horizons, 60(3), 293-303.
Mai, N. K., Do, T. T., & Ho Nguyen, D. T. (2022). The impact of leadership competences, organizational learning and organizational innovation on business performance. Business Process Management Journal, 28(5/6), 1391-1411.
Penrose, E.T. (1995). The Theory of the Growth of the Firm. Wiley, New York, NY.
Philsoophian, M., Akhavan, P., & Namvar, M. (2022). The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Management Decision, 60(3), 784-805.
Prakash, S., Soni, G., & Rathore, A. P. S. (2017). A critical analysis of supply chain risk management content: a structured literature review. Journal of Advances in Management Research, 14(1), 69-90.
Queiroz, M. M., & Telles, R. (2018). Big data analytics in supply chain and logistics: an empirical approach. The International Journal of Logistics Management, 29(2), 767-783.
Rauniyar, K., Wu, X., Gupta, S., Modgil, S., & de Sousa Jabbour, A. B. L. (2022). Risk management of supply chains in the digital transformation era: Contribution and challenges of blockchain technology. Industrial Management & Data Systems, (ahead-of-print).
Rogerson, M., & Parry, G. C. (2020). Blockchain: case studies in food supply chain visibility. Supply Chain Management: An International Journal, 25(5), 601-614.
Roy, S. K., Ganguli, R., & Goswami, S. (2020). Transformation of supply chain provenance using blockchain—A short review. Emerging Technology in Modelling and Graphics: Proceedings of IEM Graph 2018, 583-593.
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019). Blockchain technology and its relationships to sustainable supply chain management. International Journal of Production Research, 57(7), 2117-2135.
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.
Schoenherr, T., & Speier‐Pero, C. (2015). Data science, predictive analytics, and big data in supply chain management: Current state and future potential. Journal of Business Logistics, 36(1), 120-132.
Singh, N.P. & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation. Benchmarking: An International Journal, 26(7), 2318-2342.
Spieske, A., & Birkel, H. (2021). Improving supply chain resilience through industry 4.0: A systematic literature review under the impressions of the COVID-19 pandemic. Computers & Industrial Engineering, 158, 107452.
Sun, B., & Liu, Y. (2021). Business model designs, big data analytics capabilities and new product development performance: Evidence from China. European Journal of Innovation Management, 24(4), 1162-1183.
Wan, W., & Liu, L. (2021). Intrapreneurship in the digital era: driven by big data and human resource management?. Chinese Management Studies, 15(4), 843-875.
Wang, G., Gunasekaran, A., Ngai, E. W., & Papadopoulos, T. (2016). Big data analytics in logistics and supply chain management: Certain investigations for research and applications. International journal of production economics, 176, 98-110.
Waqas, M., Honggang, X., Ahmad, N., Khan, S. A. R., & Iqbal, M. (2021). Big data analytics as a roadmap towards green innovation, competitive advantage and environmental performance. Journal of Cleaner Production, 323, 128998.
Waqas, U., Abd Rahman, A., Ismail, N. W., Kamal Basha, N., & Umair, S. (2022). Influence of supply chain risk management and its mediating role on supply chain performance: perspectives from an agri-fresh produce. Annals of Operations Research, 1-29.
Yildiz Çankaya, S., Can Saglam, Y., & Sezen, B. (2022). Mapping the landscape of organizational theories for future research themes in supply chain risk management. Asia-Pacific Journal of Business Administration, (ahead-of-print).
Yu, K., Luo, B. N., Feng, X., & Liu, J. (2018). Supply chain information integration, flexibility, and operational performance: An archival search and content analysis. The International Journal of Logistics Management, 29(1), 340-364.
Zouari, D., Ruel, S., & Viale, L. (2021). Does digitalising the supply chain contribute to its resilience?. International Journal of Physical Distribution & Logistics Management, 51(2), 149-180.