Outputs (6)

Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM approach (2017)
Journal Article
Jasimuddin, S. M., Mishra, N., & A. Saif Almuraqab, N. (2017). Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM approach. Production planning & control, 28(16), 1307-1317. https://doi.org/10.1080/09537287.2017.1375144

The digital technologies such as internet play a crucial role in the management of operations of organizations in both public and private sectors. Such technologies support the implementation of effective digital business strategies. By reviewing the... Read More about Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE: a PLS-SEM approach.

Market segmentation and industry overcapacity considering input resources and environmental costs through the lens of governmental intervention (2017)
Journal Article
Jiang, Z., Jin, P., Mishra, N., & Song, M. (2017). Market segmentation and industry overcapacity considering input resources and environmental costs through the lens of governmental intervention. Environmental science and pollution research, 24(26), 21351-21360. https://doi.org/10.1007/s11356-017-9639-4

The problems with China’s regional industrial overcapacity are often influenced by local governments. This study constructs a framework that includes the resource and environmental costs to analyze overcapacity using the non-radial direction distance... Read More about Market segmentation and industry overcapacity considering input resources and environmental costs through the lens of governmental intervention.

Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique (2017)
Journal Article
Mishra, N., Singh, A., Rana, N. P., & Dwivedi, Y. K. (2017). Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique. Production planning & control, 28(11-12), 945-963. https://doi.org/10.1080/09537287.2017.1336789

The food retailers have to make their supply chains more customer driven to sustain in modern competitive environment. It is essential for them to assimilate consumer’s perception to improve their market share. The firms usually utilise customer’s op... Read More about Interpretive structural modelling and fuzzy MICMAC approaches for customer centric beef supply chain: application of a big data technique.

Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning (2017)
Journal Article
Malekpoor, H., Chalvatzis, K., Mishra, N., Mehlawat, M. K., Zafirakis, D., & Song, M. (2018). Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning. Annals of Operations Research, 269(1-2), 475–503. https://doi.org/10.1007/s10479-017-2566-4

Sustainable energy generation is a key feature in sustainable development and among various sources of energy electricity due to some unique characteristics seems particularly important. Optimising electricity generation mix is a highly complex task... Read More about Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning.

Social media data analytics to improve supply chain management in food industries (2017)
Journal Article
Singh, A., Shukla, N., & Mishra, N. (2018). Social media data analytics to improve supply chain management in food industries. Transportation Research Part E: Logistics and Transportation Review, 114, 398-415. https://doi.org/10.1016/j.tre.2017.05.008

This paper proposes a big-data analytics-based approach that considers social media (Twitter) data for the identification of supply chain management issues in food industries. In particular, the proposed approach includes text analysis using a suppor... Read More about Social media data analytics to improve supply chain management in food industries.

Multiple order-up-to policy for mitigating bullwhip effect in supply chain network (2017)
Journal Article
Keshari, A., Mishra, N., Shukla, N., McGuire, S., & Khorana, S. (2018). Multiple order-up-to policy for mitigating bullwhip effect in supply chain network. Annals of Operations Research, 269(1-2), 361-386. https://doi.org/10.1007/s10479-017-2527-y

This paper proposes a multiple order-up-to policy based inventory replenishment scheme to mitigate the bullwhip effect in a multi-stage supply chain scenario, where various transportation modes are available between the supply chain (SC) participants... Read More about Multiple order-up-to policy for mitigating bullwhip effect in supply chain network.