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A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment (2018)
Journal Article
Malekpoor, H., Mishra, N., & Kumar, S. (2018). A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment. Annals of Operations Research, https://doi.org/10.1007/s10479-018-2992-y

© 2018, The Author(s). Cancer is one of the most common diseases worldwide and its treatment is a complex and time-consuming process. Specifically, prostate cancer as the most common cancer among male population has received the attentions of many re... Read More about A novel TOPSIS–CBR goal programming approach to sustainable healthcare treatment.

Pre-positioning inventory and service outsourcing of relief material supply chain (2018)
Journal Article
Yao, X., Huang, R., Song, M., & Mishra, N. (2018). Pre-positioning inventory and service outsourcing of relief material supply chain. International Journal of Production Research, 56(21), 6859-6871. https://doi.org/10.1080/00207543.2018.1495853

Service outsourcing is very common in a commercial supply chain, and in humanitarian relief area the transportation service is usually outsourced. To practice relief supply more effectively, it seems essential to enlarge outsourcing from shipping to... Read More about Pre-positioning inventory and service outsourcing of relief material supply chain.

Sensory stimulation for sensible consumption: Multisensory marketing for e-tailing of ethical brands (2018)
Journal Article
Yoganathan, V., Osburg, V.-S., & Akhtar, P. (2019). Sensory stimulation for sensible consumption: Multisensory marketing for e-tailing of ethical brands. Journal of business research, 96, 386-396. https://doi.org/10.1016/j.jbusres.2018.06.005

© 2018 Elsevier Inc. Amidst strong competition and lack of resources and functional superiority, ethical brands may seek an experiential approach to marketing online. A between-subjects online experiment (N = 308) shows that ethically-congruent visua... Read More about Sensory stimulation for sensible consumption: Multisensory marketing for e-tailing of ethical brands.

Evolutionary Learning in Strategy-Project Systems (2018)
Book
Gardiner, P., Eltigani, A., Williams, T., Kirkham, R., Ou, L., Calabrese, A., & Söderlund, J. (2018). Evolutionary Learning in Strategy-Project Systems. Project Management Institute

Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets (2018)
Journal Article
Vafadarnikjoo, A., Mishra, N., Govindan, K., & Chalvatzis, K. (2018). Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets. Journal of cleaner production, 196, 230-244. https://doi.org/10.1016/j.jclepro.2018.06.037

Environmental issues have been worldwide matters of concern especially in the recent decade and have made many firms implement end-of-life strategies such as remanufacturing. In prior studies, the supply side of remanufacturing supply chain has been... Read More about Assessment of consumers' motivations to purchase a remanufactured product by applying Fuzzy Delphi method and single valued neutrosophic sets.

A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network (2018)
Journal Article
Dunbar, M., Belieres, S., Shukla, N., Amirghasemi, M., Perez, P., & Mishra, N. (2018). A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network. Annals of Operations Research, 1-19. https://doi.org/10.1007/s10479-018-2911-2

Modern-day logistics companies require increasingly shorter lead-times in order to cater for the increasing popularity of on-demand services. There is consequently an urgent need for fast scheduling algorithms to provide high quality, real-time imple... Read More about A genetic column generation algorithm for sustainable spare part delivery: Application to the Sydney DropPoint Network.

Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh (2018)
Journal Article
Dey, B. L., Babu, M. M., Rahman, M., Dora, M., & Mishra, N. (2019). Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh. Technological Forecasting and Social Change, 145, 413-425. https://doi.org/10.1016/j.techfore.2018.05.011

© 2018 Elsevier Inc. The use of various forms of ICTs (information communication technology) such as mobile telephones can foster the socio-economic progression of developing countries. Contextually appropriate design and use are needed for ICTs to d... Read More about Technology upgrading through co-creation of value in developing societies: Analysis of the mobile telephone industry in Bangladesh.

A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp (2018)
Journal Article
Malekpoor, H., Chalvatzis, K., Mishra, N., & Ramudhin, A. (2018). A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp. Annals of Operations Research, 1-27. https://doi.org/10.1007/s10479-018-2877-0

© 2018 The Author(s) In this paper, we provide a model which optimizes the allocation of electricity generation systems, in terms of their number and location, in a disaster relief camp. The objectives that this model takes into account are minimizat... Read More about A hybrid approach of VIKOR and bi-objective integer linear programming for electrification planning in a disaster relief camp.

Big data analytics and application for logistics and supply chain management (2018)
Journal Article
Govindan, K., Cheng, T., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management. Transportation Research Part E: Logistics and Transportation Review, 114, 343-349. https://doi.org/10.1016/j.tre.2018.03.011

This special issue explores big data analytics and applications for logistics and supply chain management by examining novel methods, practices, and opportunities. The articles present and analyse a variety of opportunities to improve big data analyt... Read More about Big data analytics and application for logistics and supply chain management.

Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation (2018)
Journal Article
Chalvatzis, K. J., Malekpoor, H., Mishra, N., Lettice, F., & Choudhary, S. (2019). Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation. Technological Forecasting and Social Change, 144, 381-393. https://doi.org/10.1016/j.techfore.2018.04.031

Economic, social and environmental requirements make planning for a sustainable electricity generation mix a demanding endeavour. Technological innovation offers a range of renewable generation and energy management options which require fine tuning... Read More about Sustainable resource allocation for power generation: The role of big data in enabling interindustry architectural innovation.

Economic simulation of cryptocurrencies (2018)
Journal Article
Mainelli, M. R., Leitch, M., & Demetis, D. (2018). Economic simulation of cryptocurrencies. Capco Journal, 47, 89-101

Cryptocurrencies have the potential to become effective currencies that give a higher level of macroeconomic control, thanks to the information that is available about holdings and transactions, and the potential for automated control mechanisms. How... Read More about Economic simulation of cryptocurrencies.

Barriers to effective circular supply chain management in a developing country context (2018)
Journal Article
Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production planning & control, 29(6), 551-569. https://doi.org/10.1080/09537287.2018.1449265

Circular supply chain emphasizes surge in application of reuse, recycling and remanufacturing and thereby promotes the transformation of manufacturing characteristics from linear (‘take-produce-utilize-dump’) to circular model of flow of products, by... Read More about Barriers to effective circular supply chain management in a developing country context.

Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment (2018)
Journal Article
Lamba, K., Singh, S. P., & Mishra, N. (2019). Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment. Computers and Industrial Engineering, 128, 1052-1062. https://doi.org/10.1016/j.cie.2018.04.028

© 2018 Elsevier Ltd The rising concerns about carbon emissions due to drastic environmental changes globally has increased awareness of customers regarding the carbon footprint of the products they are consuming. Thus, compelled supply chain managers... Read More about Integrated decisions for supplier selection and lot-sizing considering different carbon emission regulations in Big Data environment.

The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana (2018)
Journal Article
Adams, D., Ullah, S., Akhtar, P., Adams, K., & Saidi, S. (2019). The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana. Resources policy, 61, 433-440. https://doi.org/10.1016/j.resourpol.2018.03.005

Empirical research shows that developing countries that are rich in natural resources tend to suffer slow economic growth and development due to various factors such as quality of institutions, governance, among others. The phenomenon of slow growth... Read More about The role of country-level institutional factors in escaping the natural resource curse: Insights from Ghana.

The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries (2018)
Journal Article
Saidi, S., Shahbaz, M., & Akhtar, P. (2018). The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries. Transportation Research Part A: Policy and Practice, 111, 78-95. https://doi.org/10.1016/j.tra.2018.03.013

This paper investigates the impact of transport energy consumption and transport infrastructure on economic growth by utilizing panel data on MENA countries (the Middle East and North Africa region) for the period of 2000-2016. The MENA region panel... Read More about The long-run relationships between transport energy consumption, transport infrastructure, and economic growth in MENA countries.

Exploring perceptions of advertising ethics: an informant-derived approach (2018)
Journal Article
Shabbir, H. A., Maalouf, H., Griessmair, M., Colmekcioglu, N., & Akhtar, P. (2018). Exploring perceptions of advertising ethics: an informant-derived approach. Journal of Business Ethics, 1-18. https://doi.org/10.1007/s10551-018-3784-7

Whilst considerable research exists on determining consumer responses to pre-determined statements within numerous ad ethics contexts, our understanding of consumer thoughts regarding ad ethics in general remains lacking. The purpose of our study the... Read More about Exploring perceptions of advertising ethics: an informant-derived approach.

Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data (2018)
Journal Article
Ullah, S., Akhtar, P., & Zaefarian, G. (2018). Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data. Industrial marketing management, 71, 69-78. https://doi.org/10.1016/j.indmarman.2017.11.010

Endogeneity bias can lead to inconsistent estimates and incorrect inferences, which may provide misleading conclusions and inappropriate theoretical interpretations. Sometimes such bias can even lead to coefficients having the wrong sign. Although th... Read More about Dealing with endogeneity bias: The generalized method of moments (GMM) for panel data.