How to cite this paper
Yenugula, M., Sahoo, S & Goswami, S. (2023). Cloud computing in supply chain management: Exploring the relationship.Management Science Letters , 13(3), 193-210.
Refrences
Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: challenges and future directions. In Supply Chain Forum: An International Journal, 21(3), 133-138.
Camara, S. B., Fuentes, J. M., & Marín, J. M. M. (2015). Cloud computing, Web 2.0, and operational performance: The mediating role of supply chain integration. The International Journal of Logistics Management, 26(3), 426-458.
Cao, Q., Schniederjans, D. G., & Schniederjans, M. (2017). Establishing the use of cloud computing in supply chain man-agement. Operations Management Research, 10, 47-63.
Cegielski, C. G., Jones‐Farmer, L. A., Wu, Y., & Hazen, B. T. (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. The international journal of logistics Manage-ment, 23(2), 184-211.
Gammelgaard, B., & Nowicka, K. (2023). Next generation supply chain management: the impact of cloud compu-ting. Journal of Enterprise Information Management.
Giannakis, M., Spanaki, K., & Dubey, R. (2019). A cloud-based supply chain management system: effects on supply chain responsiveness. Journal of Enterprise Information Management, 32(4), 585-607.
Goswami, S. S. (2020). Outranking methods: Promethee i and promethee ii. Foundations of Management, 12(1), 93-110.
Goswami, S. S., & Behera, D. K. (2021a). Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques. Process Integration and Optimization for Sustain-ability, 5(4), 947-973.
Goswami, S. S., & Behera, D. K. (2021b). Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach. Decision, 48, 71-96.
Goswami, S. S., Mohanty, S. K., & Behera, D. K. (2022). Selection of a green renewable energy source in India with the help of MEREC integrated PIV MCDM tool. Materials today: proceedings, 52, 1153-1160.
Hassan, A., Bhatti, S. H., Shujaat, S., & Hwang, Y. (2022). To adopt or not to adopt? The determinants of cloud computing adoption in information technology sector. Decision Analytics Journal, 5, 100138.
Herrera, A., & Janczewski, L. (2016). Cloud supply chain resilience model: Development and validation. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3938-3947). IEEE.
Jede, A., & Teuteberg, F. (2015). Integrating cloud computing in supply chain processes: a comprehensive literature re-view. Journal of Enterprise Information Management.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. International Journal of Information Management, 35(1), 98-109.
Lin, C., & Lin, M. (2019). The determinants of using cloud supply chain adoption. Industrial Management & Data Sys-tems, 119(2), 351-366.
Liu, S., Chan, F. T., Yang, J., & Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43, 98-111.
Lu, Q., Chen, J., Song, H., & Zhou, X. (2022). Effects of cloud computing assimilation on supply chain financing risks of SMEs. Journal of Enterprise Information Management, 35(6), 1719-1741.
Masdari, M., ValiKardan, S., Shahi, Z., & Azar, S. I. (2016). Towards workflow scheduling in cloud computing: a com-prehensive analysis. Journal of Network and Computer Applications, 66, 64-82.
Mital, M., Pani, A. K., Damodaran, S., & Ramesh, R. (2015). Cloud based management and control system for smart communities: A practical case study. Computers in Industry, 74, 162-172.
Moga, L. M. (2017). Cloud computing based solutions for monitoring the supply chain of fish and fishery products. In 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) (pp. 33-38). IEEE.
Mukherjee, S., Chittipaka, V., Baral, M. M., & Srivastava, S. C. (2022). Integrating the challenges of cloud computing in supply chain management. In Recent Advances in Industrial Production: Select Proceedings of ICEM 2020 (pp. 355-363). Springer Singapore.
Oliveira, M. P. V. D., & Handfield, R. (2019). Analytical foundations for development of real-time supply chain capabili-ties. International Journal of Production Research, 57(5), 1571-1589.
Radke, A. M., & Tseng, M. M. (2015). Design considerations for building distributed supply chain management systems based on cloud computing. Journal of Manufacturing Science and Engineering, 137(4).
Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A de-scriptive bibliometric analysis and future research directions. Expert Systems with Applications, 173, 114702.
Sahoo, S., & Choudhury, B. (2022). Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique. Decision Science Letters, 11(1), 21-34.
Sahoo, S. K., & Goswami, S. S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. Journal of Future Sustainability, 4(1), 23-34.
Schniederjans, D. G., Ozpolat, K., & Chen, Y. (2016). Humanitarian supply chain use of cloud computing. Supply Chain Management: An International Journal.
Stergiou, C., Psannis, K. E., Kim, B. G., & Gupta, B. (2018). Secure integration of IoT and cloud computing. Future Gen-eration Computer Systems, 78, 964-975.
Suherman, A. G., & Simatupang, T. M. (2017). The network business model of cloud computing for end-to-end supply chain visibility. International Journal of Value Chain Management, 8(1), 22-39.
Vemula, R., & Zsifkovits, H. (2016). Cloud computing for supply chain management. BHM Berg-und Hüttenmännische Monatshefte, 161, 229-232.
Wu, Y. U. N., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013). Cloud computing in support of supply chain information system infrastructure: understanding when to go to the cloud. Journal of supply chain management, 49(3), 25-41.
Yenugula, M., Sahoo, S, K., & Goswami, S. S. (2024). Cloud computing for sustainable development: An analysis of envi-ronmental, economic and social benefits. Journal of future sustainability, 4, 45-60.
Zimmermann, M., Rosca, E., Antons, O., & Bendul, J. C. (2019). Supply chain risks in times of Industry 4.0: Insights from German cases. IFAC-PapersOnLine, 52(13), 1755-1760.
Camara, S. B., Fuentes, J. M., & Marín, J. M. M. (2015). Cloud computing, Web 2.0, and operational performance: The mediating role of supply chain integration. The International Journal of Logistics Management, 26(3), 426-458.
Cao, Q., Schniederjans, D. G., & Schniederjans, M. (2017). Establishing the use of cloud computing in supply chain man-agement. Operations Management Research, 10, 47-63.
Cegielski, C. G., Jones‐Farmer, L. A., Wu, Y., & Hazen, B. T. (2012). Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach. The international journal of logistics Manage-ment, 23(2), 184-211.
Gammelgaard, B., & Nowicka, K. (2023). Next generation supply chain management: the impact of cloud compu-ting. Journal of Enterprise Information Management.
Giannakis, M., Spanaki, K., & Dubey, R. (2019). A cloud-based supply chain management system: effects on supply chain responsiveness. Journal of Enterprise Information Management, 32(4), 585-607.
Goswami, S. S. (2020). Outranking methods: Promethee i and promethee ii. Foundations of Management, 12(1), 93-110.
Goswami, S. S., & Behera, D. K. (2021a). Solving material handling equipment selection problems in an industry with the help of entropy integrated COPRAS and ARAS MCDM techniques. Process Integration and Optimization for Sustain-ability, 5(4), 947-973.
Goswami, S. S., & Behera, D. K. (2021b). Evaluation of the best smartphone model in the market by integrating fuzzy-AHP and PROMETHEE decision-making approach. Decision, 48, 71-96.
Goswami, S. S., Mohanty, S. K., & Behera, D. K. (2022). Selection of a green renewable energy source in India with the help of MEREC integrated PIV MCDM tool. Materials today: proceedings, 52, 1153-1160.
Hassan, A., Bhatti, S. H., Shujaat, S., & Hwang, Y. (2022). To adopt or not to adopt? The determinants of cloud computing adoption in information technology sector. Decision Analytics Journal, 5, 100138.
Herrera, A., & Janczewski, L. (2016). Cloud supply chain resilience model: Development and validation. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 3938-3947). IEEE.
Jede, A., & Teuteberg, F. (2015). Integrating cloud computing in supply chain processes: a comprehensive literature re-view. Journal of Enterprise Information Management.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. International Journal of Information Management, 35(1), 98-109.
Lin, C., & Lin, M. (2019). The determinants of using cloud supply chain adoption. Industrial Management & Data Sys-tems, 119(2), 351-366.
Liu, S., Chan, F. T., Yang, J., & Niu, B. (2018). Understanding the effect of cloud computing on organizational agility: An empirical examination. International Journal of Information Management, 43, 98-111.
Lu, Q., Chen, J., Song, H., & Zhou, X. (2022). Effects of cloud computing assimilation on supply chain financing risks of SMEs. Journal of Enterprise Information Management, 35(6), 1719-1741.
Masdari, M., ValiKardan, S., Shahi, Z., & Azar, S. I. (2016). Towards workflow scheduling in cloud computing: a com-prehensive analysis. Journal of Network and Computer Applications, 66, 64-82.
Mital, M., Pani, A. K., Damodaran, S., & Ramesh, R. (2015). Cloud based management and control system for smart communities: A practical case study. Computers in Industry, 74, 162-172.
Moga, L. M. (2017). Cloud computing based solutions for monitoring the supply chain of fish and fishery products. In 2017 Eighth International Conference on Intelligent Computing and Information Systems (ICICIS) (pp. 33-38). IEEE.
Mukherjee, S., Chittipaka, V., Baral, M. M., & Srivastava, S. C. (2022). Integrating the challenges of cloud computing in supply chain management. In Recent Advances in Industrial Production: Select Proceedings of ICEM 2020 (pp. 355-363). Springer Singapore.
Oliveira, M. P. V. D., & Handfield, R. (2019). Analytical foundations for development of real-time supply chain capabili-ties. International Journal of Production Research, 57(5), 1571-1589.
Radke, A. M., & Tseng, M. M. (2015). Design considerations for building distributed supply chain management systems based on cloud computing. Journal of Manufacturing Science and Engineering, 137(4).
Riahi, Y., Saikouk, T., Gunasekaran, A., & Badraoui, I. (2021). Artificial intelligence applications in supply chain: A de-scriptive bibliometric analysis and future research directions. Expert Systems with Applications, 173, 114702.
Sahoo, S., & Choudhury, B. (2022). Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique. Decision Science Letters, 11(1), 21-34.
Sahoo, S. K., & Goswami, S. S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. Journal of Future Sustainability, 4(1), 23-34.
Schniederjans, D. G., Ozpolat, K., & Chen, Y. (2016). Humanitarian supply chain use of cloud computing. Supply Chain Management: An International Journal.
Stergiou, C., Psannis, K. E., Kim, B. G., & Gupta, B. (2018). Secure integration of IoT and cloud computing. Future Gen-eration Computer Systems, 78, 964-975.
Suherman, A. G., & Simatupang, T. M. (2017). The network business model of cloud computing for end-to-end supply chain visibility. International Journal of Value Chain Management, 8(1), 22-39.
Vemula, R., & Zsifkovits, H. (2016). Cloud computing for supply chain management. BHM Berg-und Hüttenmännische Monatshefte, 161, 229-232.
Wu, Y. U. N., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013). Cloud computing in support of supply chain information system infrastructure: understanding when to go to the cloud. Journal of supply chain management, 49(3), 25-41.
Yenugula, M., Sahoo, S, K., & Goswami, S. S. (2024). Cloud computing for sustainable development: An analysis of envi-ronmental, economic and social benefits. Journal of future sustainability, 4, 45-60.
Zimmermann, M., Rosca, E., Antons, O., & Bendul, J. C. (2019). Supply chain risks in times of Industry 4.0: Insights from German cases. IFAC-PapersOnLine, 52(13), 1755-1760.