The Influence of Digital Technologies on Sustainable Supply Chain Performance in Public Procuring Entities: A Moderating Effect of Legal Frameworks
Keywords:
Digital Technologies; Internet of Things; Blockchain; Big Data Analytics; Legal Frameworks; Sustainable Supply Chain Performance
Abstract
This study examined the impact of digital technologies on the performance of sustainable supply chains in public procuring entities, with a specific focus on Tanzania. The study was conducted using the Technology-Organization-Environment model, Resource Based Review, and Schumpeter Theory of Innovation as guiding frameworks. The study employed the positivism research paradigm and utilized the simple random sampling technique to gather data from a sample of 410 respondents. The data collection process utilized descriptive and explanatory cross-sectional survey research methods. The data were obtained by administering questionnaires and conducting a review of relevant documents. The collected data was analyzed using Partial Least Squares Structural Equation Modeling with the assistance of SmartPLS 4 software for inferential statistics analysis. For descriptive statistics analysis, IBM SPSS Statistics Version 26 was utilized to examine the data collected on respondents' profiles. The results indicate that the implementation of Internet of Things, Blockchain, Big Data Analytics, and Legal Frameworks as a moderator has a beneficial impact on the performance of Sustainable Supply Chains. The study suggests that buyers, suppliers, service providers, and contractors in Tanzania and other developing countries should incorporate Internet of Things, Blockchain, Big Data Analytics, and Legal Frameworks to effectively implement Sustainable Supply Chain Performance.This study successfully addressed the need for a specific model that defines the factors influencing the performance of a sustainable supply chain, with legal frameworks acting as moderators. This paradigm is absent from the current collection of empirical and theoretical literature.
References
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Chang, C. L. (2015). Entrepreneurial orientation, communication strategies, and new product success: A theoretic model. Academy of Strategic Management Journal, 14(1).
Chi, T. (1994). Trading in strategic resources: Necessary conditions, transaction cost problems, and choice of exchange structure. Strategic Management Journal, 15(4), 271–290.
Chittipaka, V., Kumar, S., Sivarajah, U., Bowden, J. L. H., & Baral, M. M. (2023). Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework. Annals of Operations Research, 327(1), 465-492.
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Cullen, K., & Parker, D. W. (2015). Improving performance in project-based management: Synthesizing strategic theories. International Journal of Productivity and Performance Management, 64(5), 608-624.
Duan, W., Hu, H., & Zhang, Y. (2022). What determines the performance of small and medium-sized enterprises supply chain financing? A qualitative comparative analysis of fuzzy sets based on the technology-organization-environment framework. Frontiers in psychology, 13, 976218. https://doi.org/10.3389/fpsyg.2022.976218.
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Ghode, D. J., & Dahole, G. H. (2021). An Adoption of Digital Technologies in the Supply Chain: A Review and Framework. International Journal, 6(1), 22-27.
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Hermawan, D., Darsana, I. M., & Ernawan, Y. (2020). Internet of Things (IoT) Utilization to Improve Performance and Productivity of Internal Supply Chain.
Jalil, F., Yang, J., Rehman, S. U., & Khan, M. M. (2023). Post-COVID-19’s impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics. Environmental Science and Pollution Research, 30(54), 115683-115698.
Jana, B., & Kaushik, T. (2022). Application of technology-organization-environment model in HR analytics adoption. Journal of Information and Optimization Sciences, 43(6), 1387-1395.
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Jum’a, L. (2023). The role of blockchain-enabled supply chain applications in improving supply chain performance: the case of Jordanian manufacturing sector. Management Research Review, 46(10), 1315-1333.
Kamble, S. S., Gunasekaran, A., Subramanian, N., Ghadge, A., Belhadi, A., & Venkatesh, M. (2023). Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industry. Annals of Operations Research, 327(1), 575-600.
Kim, J. S., & Shin, N. (2019). The impact of blockchain technology application on supply chain partnership and performance. Sustainability, 11(21), 6181.
Kim, J. W., Rhee, J. H., & Park, C. H. (2024). How Does Digital Transformation Improve Supply Chain Performance: A Manufacturer’s Perspective? Sustainability, 16(7), 3046.
Kumar, A., Shrivastav, S. K., Shrivastava, A. K., Panigrahi, R. R., Mardani, A., & Cavallaro, F. (2023). Sustainable supply chain management, performance measurement, and management: a review. Sustainability, 15(6), 5290.
Kumar, S., Raut, R. D., Priyadarshinee, P., Mangla, S. K., Awan, U., & Narkhede, B. E. (2022). The impact of IoT on the performance of vaccine supply chain distribution in the COVID-19 context. IEEE Transactions on Engineering Management.
Kurdi, B., Alzoubi, H., Akour, I., & Alshurideh, M. (2022). The effect of blockchain and smart inventory system on supply chain performance: Empirical evidence from retail industry. Uncertain Supply Chain Management, 10(4), 1111-1116.
Lee, K., Romzi, P., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537-550.
Luthra, S., Mangla, S. K., Chan, F. T., & Venkatesh, V. G. (2018). Evaluating the drivers to information and communication technology for effective sustainability initiatives in supply chains. International Journal of Information Technology & Decision Making, 17(01), 311-338.
Mustaffa, N. A., Zulkifli, M., & Khan, S. M. H. (2023). DSC Index: Measuring the Digital Supply Chain Practice among the Higher Education Institutions Community in Least Developed Countries. AIUB Journal of Science and Engineering (AJSE), 22(3), 279-286.
Oubrahim, I., Sefiani, N., & Happonen, A. (2023). The influence of digital transformation and supply chain integration on overall sustainable supply chain performance: An empirical analysis from manufacturing companies in Morocco. Energies, 16(2), 1004.
Paul, T., Mondal, S., Islam, N., & Rakshit, S. (2021). The impact of blockchain technology on the tea supply chain and its sustainable performance. Technological Forecasting and Social Change, 173, 121163.
Peng, Y. (2023). An Analysis of Entrepreneurial Leadership Based on Schumpeter's Theory of Innovation. Academic Journal of Business & Management, 5(8), 34-37.
Qadir, F. (2021). Exploring a nexus among the big data Predictive analytics, Supply Chain Performance, and Organizational Performance: A case of an Asian country. The Asian Bulletin of Big Data Management, 1(1), 1-10.
Qureshi, K. M., Mewada, B. G., Kaur, S., Alghamdi, S. Y., Almakayeel, N., Almuflih, A. S., & Qureshi, M. R. N. M. (2023). Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach. Sustainability, 15(21), 15388.
Rehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4), 00368504221145648.
Rogulin, R.S., Pavlyuk, R.S., & Talitskikh, N.R. (2021). Research on Supply Chain Efficiency in COVID-19: The Role of Information and Communications. Management Science.
Romagnoli, S., Tarabu', C., Maleki Vishkaei, B., & De Giovanni, P. (2023). The impact of digital technologies and sustainable practices on circular supply chain management. Logistics, 7(1), 1.
Shatta, D. N. (2023). Determinants of Behavioral Intention to Use E-Procurement System in Developing Countries: Suppliers’ Perception from Tanzania. In State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM) Methodological Extensions and Applications in the Social Sciences and Beyond (pp. 537-555). Cham: Springer International Publishing.
Shatta, D., & Mabina, B. (2024). Theorized model for e-procurement system in developing countries: evidence from Tanzania. International Journal of Research in Business and Social Science (2147-4478), 13(2), 420-434.
Stroumpoulis, A., & Kopanaki, E. (2022). Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework. Sustainability, 14(8), 4862.
Stroumpoulis, A., & Kopanaki, E. (2022). Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework. Sustainability, 14(8), 4862.
Sweezy, P. M. (1943). Professor Schumpeter's theory of innovation. The Review of Economics and Statistics, 25(1), 93-96.
Tipu, S. A. A., & Fantazy, K. (2023). Linking big data analytics capability and sustainable supply chain performance: mediating role of innovativeness, proactiveness and risk taking. International Journal of Productivity and Performance Management.
Tornatzky, L. & Fleischer, M. (1990). The process of technology innovation, Lexington, MA, Lexington Books.
Tretyakova, G. V., & Orlova, A. V. (2023). Financial University under the Government of the Russian Federation. Векторы благополучия: экономика и социум, (1 (48)), 31-41.
Triandini, E., Wijaya, I. G. N. S., Suniantara, I. K. P., Wulandari, R., Pratami, W. C. A., Djarkasih, A. R., & Larasati, N. (2023, November). Analysis Adoption of Information Technology Using the UTAUT Method on Poultry Farmers in Indonesia. In 2023 11th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-6). IEEE.
Upadhyay, S. (2018). A Critical Study of Joseph A. Schumpeter’s Innovation Theory of Entrepreneurship.
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2021). Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management. Sustainability, 13(11), 6372.
Vishwakarma, A., Dangayach, G. S., Meena, M. L., Gupta, S., & Luthra, S. (2023). Adoption of blockchain technology enabled healthcare sustainable supply chain to improve healthcare supply chain performance. Management of Environmental Quality: An International Journal, 34(4), 1111-1128.
wael AL-Khatib, A. (2022). The impact of big data analytics capabilities on green supply chain performance: is green supply chain innovation the missing link? Business Process Management Journal, 29(1), 22-42.
Wang, S., Tian, G., Islam, T., Khaskhelly, F. Z., & Shaikh, M. A. (2023). Effect of Blockchain Technology for Sustainable Performance in Supply Chain Management. Problemy Ekorozwoju, 18(2), 159-166.
Wang, Y., Wang, T., & Wang, Q. (2024). The impact of digital transformation on enterprise performance: An empirical analysis based on China's manufacturing export enterprises. PloS one, 19(3), e0299723. https://doi.org/10.1371/journal.pone.0299723.
Waqas, M., & Tan, L. (2023). Big data analytics capabilities for reinforcing green production and sustainable firm performance: the moderating role of corporate reputation and supply chain innovativeness. Environmental Science and Pollution Research, 30(6), 14318-14336.
Weerabahu, W. S. K., Samaranayake, P., Nakandala, D., & Hurriyet, H. (2021, December). Enabling factors of digital manufacturing supply chains: a systematic literature review. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 118-123). IEEE.
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5, 171–180.
Yadav, V. K. (2015). Global prospect of e-commerce. Int. J. Soc. Sci. Interdisc. Res, 3(1).
Yong, L. (2010). Frame Model for Deliverables from Human Resource Practices to Firm Performance.
Zekhnini, K., Cherrafi, A., Bouhaddou, I., Chaouni Benabdellah, A., & Bag, S. (2022). A model integrating lean and green practices for viable, sustainable, and digital supply chain performance. International Journal of Production Research, 60(21), 6529-6555.
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., & Ramayah, T. (2023). Big data analytics capabilities and supply chain performance: testing a moderated mediation model using partial least squares approach. Business Process Management Journal, 29(2), 393-412.
Alyami, A., Rahman, S., & Yadlapalli, A. (2023). The Effect of Blockchain Technology on Hospital Supply Chain Performance. Proceedings of the International Conference on Industrial Engineering and Operations Management.
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.
Bahrami, M., Shokouhyar, S., & Seifian, A. (2022). Big data analytics capability and supply chain performance: the mediating roles of supply chain resilience and innovation. Modern Supply Chain Research and Applications, 4(1), 62-84.
Bao-shan, G., & Bao-bao, D. (2008, September). Resource integration process and venture performance: Based on the contingency model of resource integration capability. In 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings.
Ceptureanu, S., Cerqueti, R., Alexandru, A., Popescu, D., Dhesi, G., & Ceptureanu, E. (2021). Influence of blockchain adoption on technology transfer, performance and supply chain integration, exibility and responsiveness. A case study from IT&C medium size enterprises. Studies in Informatics and Control, 30(3), 61-74.
Chang, C. L. (2015). Entrepreneurial orientation, communication strategies, and new product success: A theoretic model. Academy of Strategic Management Journal, 14(1).
Chi, T. (1994). Trading in strategic resources: Necessary conditions, transaction cost problems, and choice of exchange structure. Strategic Management Journal, 15(4), 271–290.
Chittipaka, V., Kumar, S., Sivarajah, U., Bowden, J. L. H., & Baral, M. M. (2023). Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework. Annals of Operations Research, 327(1), 465-492.
Creswell, J. W, & Plano, C. V. L. (2018). Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.
Cullen, K., & Parker, D. W. (2015). Improving performance in project-based management: Synthesizing strategic theories. International Journal of Productivity and Performance Management, 64(5), 608-624.
Duan, W., Hu, H., & Zhang, Y. (2022). What determines the performance of small and medium-sized enterprises supply chain financing? A qualitative comparative analysis of fuzzy sets based on the technology-organization-environment framework. Frontiers in psychology, 13, 976218. https://doi.org/10.3389/fpsyg.2022.976218.
Edwin Cheng, T. C., Kamble, S. S., Belhadi, A., Ndubisi, N. O., Lai, K. H., & Kharat, M. G. (2022). Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms. International Journal of Production Research, 60(22), 6908-6922.
Ghode, D. J., & Dahole, G. H. (2021). An Adoption of Digital Technologies in the Supply Chain: A Review and Framework. International Journal, 6(1), 22-27.
Gravili, G., Benvenuto, M., Avram, A., & Viola, C. (2018). The influence of the Digital Divide on Big Data generation within supply chain management. The International Journal of Logistics Management, 29(2), 592-628.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
Hermawan, D., Darsana, I. M., & Ernawan, Y. (2020). Internet of Things (IoT) Utilization to Improve Performance and Productivity of Internal Supply Chain.
Jalil, F., Yang, J., Rehman, S. U., & Khan, M. M. (2023). Post-COVID-19’s impact on green supply chain management and sustainable E-commerce performance: the moderating role of big data analytics. Environmental Science and Pollution Research, 30(54), 115683-115698.
Jana, B., & Kaushik, T. (2022). Application of technology-organization-environment model in HR analytics adoption. Journal of Information and Optimization Sciences, 43(6), 1387-1395.
Jansen, J., Kaledinova, E., & Wolter, A. (2024). A literature review of supply chain finance in a digital and sustainable environment: A conceptual framework. London Journal of Social Sciences, (7), 13-22.
Jum’a, L. (2023). The role of blockchain-enabled supply chain applications in improving supply chain performance: the case of Jordanian manufacturing sector. Management Research Review, 46(10), 1315-1333.
Kamble, S. S., Gunasekaran, A., Subramanian, N., Ghadge, A., Belhadi, A., & Venkatesh, M. (2023). Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industry. Annals of Operations Research, 327(1), 575-600.
Kim, J. S., & Shin, N. (2019). The impact of blockchain technology application on supply chain partnership and performance. Sustainability, 11(21), 6181.
Kim, J. W., Rhee, J. H., & Park, C. H. (2024). How Does Digital Transformation Improve Supply Chain Performance: A Manufacturer’s Perspective? Sustainability, 16(7), 3046.
Kumar, A., Shrivastav, S. K., Shrivastava, A. K., Panigrahi, R. R., Mardani, A., & Cavallaro, F. (2023). Sustainable supply chain management, performance measurement, and management: a review. Sustainability, 15(6), 5290.
Kumar, S., Raut, R. D., Priyadarshinee, P., Mangla, S. K., Awan, U., & Narkhede, B. E. (2022). The impact of IoT on the performance of vaccine supply chain distribution in the COVID-19 context. IEEE Transactions on Engineering Management.
Kurdi, B., Alzoubi, H., Akour, I., & Alshurideh, M. (2022). The effect of blockchain and smart inventory system on supply chain performance: Empirical evidence from retail industry. Uncertain Supply Chain Management, 10(4), 1111-1116.
Lee, K., Romzi, P., Hanaysha, J., Alzoubi, H., & Alshurideh, M. (2022). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537-550.
Luthra, S., Mangla, S. K., Chan, F. T., & Venkatesh, V. G. (2018). Evaluating the drivers to information and communication technology for effective sustainability initiatives in supply chains. International Journal of Information Technology & Decision Making, 17(01), 311-338.
Mustaffa, N. A., Zulkifli, M., & Khan, S. M. H. (2023). DSC Index: Measuring the Digital Supply Chain Practice among the Higher Education Institutions Community in Least Developed Countries. AIUB Journal of Science and Engineering (AJSE), 22(3), 279-286.
Oubrahim, I., Sefiani, N., & Happonen, A. (2023). The influence of digital transformation and supply chain integration on overall sustainable supply chain performance: An empirical analysis from manufacturing companies in Morocco. Energies, 16(2), 1004.
Paul, T., Mondal, S., Islam, N., & Rakshit, S. (2021). The impact of blockchain technology on the tea supply chain and its sustainable performance. Technological Forecasting and Social Change, 173, 121163.
Peng, Y. (2023). An Analysis of Entrepreneurial Leadership Based on Schumpeter's Theory of Innovation. Academic Journal of Business & Management, 5(8), 34-37.
Qadir, F. (2021). Exploring a nexus among the big data Predictive analytics, Supply Chain Performance, and Organizational Performance: A case of an Asian country. The Asian Bulletin of Big Data Management, 1(1), 1-10.
Qureshi, K. M., Mewada, B. G., Kaur, S., Alghamdi, S. Y., Almakayeel, N., Almuflih, A. S., & Qureshi, M. R. N. M. (2023). Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach. Sustainability, 15(21), 15388.
Rehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4), 00368504221145648.
Rogulin, R.S., Pavlyuk, R.S., & Talitskikh, N.R. (2021). Research on Supply Chain Efficiency in COVID-19: The Role of Information and Communications. Management Science.
Romagnoli, S., Tarabu', C., Maleki Vishkaei, B., & De Giovanni, P. (2023). The impact of digital technologies and sustainable practices on circular supply chain management. Logistics, 7(1), 1.
Shatta, D. N. (2023). Determinants of Behavioral Intention to Use E-Procurement System in Developing Countries: Suppliers’ Perception from Tanzania. In State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM) Methodological Extensions and Applications in the Social Sciences and Beyond (pp. 537-555). Cham: Springer International Publishing.
Shatta, D., & Mabina, B. (2024). Theorized model for e-procurement system in developing countries: evidence from Tanzania. International Journal of Research in Business and Social Science (2147-4478), 13(2), 420-434.
Stroumpoulis, A., & Kopanaki, E. (2022). Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework. Sustainability, 14(8), 4862.
Stroumpoulis, A., & Kopanaki, E. (2022). Theoretical perspectives on sustainable supply chain management and digital transformation: A literature review and a conceptual framework. Sustainability, 14(8), 4862.
Sweezy, P. M. (1943). Professor Schumpeter's theory of innovation. The Review of Economics and Statistics, 25(1), 93-96.
Tipu, S. A. A., & Fantazy, K. (2023). Linking big data analytics capability and sustainable supply chain performance: mediating role of innovativeness, proactiveness and risk taking. International Journal of Productivity and Performance Management.
Tornatzky, L. & Fleischer, M. (1990). The process of technology innovation, Lexington, MA, Lexington Books.
Tretyakova, G. V., & Orlova, A. V. (2023). Financial University under the Government of the Russian Federation. Векторы благополучия: экономика и социум, (1 (48)), 31-41.
Triandini, E., Wijaya, I. G. N. S., Suniantara, I. K. P., Wulandari, R., Pratami, W. C. A., Djarkasih, A. R., & Larasati, N. (2023, November). Analysis Adoption of Information Technology Using the UTAUT Method on Poultry Farmers in Indonesia. In 2023 11th International Conference on Cyber and IT Service Management (CITSM) (pp. 1-6). IEEE.
Upadhyay, S. (2018). A Critical Study of Joseph A. Schumpeter’s Innovation Theory of Entrepreneurship.
Varriale, V., Cammarano, A., Michelino, F., & Caputo, M. (2021). Sustainable supply chains with blockchain, IoT and RFID: A simulation on order management. Sustainability, 13(11), 6372.
Vishwakarma, A., Dangayach, G. S., Meena, M. L., Gupta, S., & Luthra, S. (2023). Adoption of blockchain technology enabled healthcare sustainable supply chain to improve healthcare supply chain performance. Management of Environmental Quality: An International Journal, 34(4), 1111-1128.
wael AL-Khatib, A. (2022). The impact of big data analytics capabilities on green supply chain performance: is green supply chain innovation the missing link? Business Process Management Journal, 29(1), 22-42.
Wang, S., Tian, G., Islam, T., Khaskhelly, F. Z., & Shaikh, M. A. (2023). Effect of Blockchain Technology for Sustainable Performance in Supply Chain Management. Problemy Ekorozwoju, 18(2), 159-166.
Wang, Y., Wang, T., & Wang, Q. (2024). The impact of digital transformation on enterprise performance: An empirical analysis based on China's manufacturing export enterprises. PloS one, 19(3), e0299723. https://doi.org/10.1371/journal.pone.0299723.
Waqas, M., & Tan, L. (2023). Big data analytics capabilities for reinforcing green production and sustainable firm performance: the moderating role of corporate reputation and supply chain innovativeness. Environmental Science and Pollution Research, 30(6), 14318-14336.
Weerabahu, W. S. K., Samaranayake, P., Nakandala, D., & Hurriyet, H. (2021, December). Enabling factors of digital manufacturing supply chains: a systematic literature review. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 118-123). IEEE.
Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5, 171–180.
Yadav, V. K. (2015). Global prospect of e-commerce. Int. J. Soc. Sci. Interdisc. Res, 3(1).
Yong, L. (2010). Frame Model for Deliverables from Human Resource Practices to Firm Performance.
Zekhnini, K., Cherrafi, A., Bouhaddou, I., Chaouni Benabdellah, A., & Bag, S. (2022). A model integrating lean and green practices for viable, sustainable, and digital supply chain performance. International Journal of Production Research, 60(21), 6529-6555.
Published
2024-06-05
How to Cite
Shatta, D. N. (2024). The Influence of Digital Technologies on Sustainable Supply Chain Performance in Public Procuring Entities: A Moderating Effect of Legal Frameworks. International Journal of Social Science Research and Review, 7(6), 43-57. https://doi.org/10.47814/ijssrr.v7i6.2150
Section
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