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Outputs (862)

Big data cloud computing framework for low carbon supplier selection in the beef supply chain (2018)
Journal Article
Singh, A., Kumari, S., Malekpoor, H., & Mishra, N. (2018). Big data cloud computing framework for low carbon supplier selection in the beef supply chain. Journal of cleaner production, 202, 139-149. https://doi.org/10.1016/j.jclepro.2018.07.236

Purpose – With the rapid economic development of nations across the globe, there is proportionate increment in corresponding carbon footprint. There are numerous counter measures proposed to mitigate it in terms of legislation and policy framing. How... Read More about Big data cloud computing framework for low carbon supplier selection in the beef supply chain.

Strategies and effective decision-making against terrorism affecting supply chain risk management and security: A novel combination of triangulated methods (2018)
Journal Article
Khan, M. N., Akhtar, P., & Merali, Y. (2018). Strategies and effective decision-making against terrorism affecting supply chain risk management and security: A novel combination of triangulated methods. Industrial management + data systems, 118(7), 1528-1546. https://doi.org/10.1108/IMDS-09-2017-0449

Purpose –The aim of this study is to investigate the knowledge gaps in the published research on terrorism-related risk in supply chains, and to develop a framework of strategies and effective decision-making to enable practitioners to address terro... Read More about Strategies and effective decision-making against terrorism affecting supply chain risk management and security: A novel combination of triangulated methods.

Risk matrix driven supply chain risk management: Adapting risk matrix based tools to modelling interdependent risks and risk appetite (2018)
Journal Article
Qazi, A., & Akhtar, P. (2018). Risk matrix driven supply chain risk management: Adapting risk matrix based tools to modelling interdependent risks and risk appetite. Computers and Industrial Engineering, https://doi.org/10.1016/j.cie.2018.08.002

There is a major research gap of developing a supply chain risk management process integrating the risk appetite of a decision maker and all stages of the risk management process within an interdependent network of systemic risks. We introduce an ite... Read More about Risk matrix driven supply chain risk management: Adapting risk matrix based tools to modelling interdependent risks and risk appetite.

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.

The effects of language skills on economic assimilation of female immigrants in the United States (2018)
Journal Article
Antonia Silles, M. (2018). The effects of language skills on economic assimilation of female immigrants in the United States. The Manchester school, 86(6), 789-815. https://doi.org/10.1111/manc.12231

This paper uses recent data from the American Community Survey between 2010 and 2015 to investigate the effect of language skills on women's economic assimilation who immigrated to the United States as children. The problem of endogenous language acq... Read More about The effects of language skills on economic assimilation of female immigrants in the United States.

Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies (2018)
Journal Article
Yang, Y., Gebka, B., & Hudson, R. (2019). Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies. Research in international business and finance, 47, 78-101. https://doi.org/10.1016/j.ribaf.2018.07.003

© 2018 Elsevier B.V. The contribution of this paper is to enable solid conclusions to be drawn about the existence of momentum effects in China as the current evidence is unsatisfactory. We review and analyse the existing empirical studies on momentu... Read More about Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies.

Dividend policy of Indonesian listed firms: The role of families and the state (2018)
Journal Article
Duygun, M., Guney, Y., & Moin, A. (2018). Dividend policy of Indonesian listed firms: The role of families and the state. Economic modelling, 75, 336-354. https://doi.org/10.1016/j.econmod.2018.07.007

We investigate factors influencing the dividend policy of the listed Indonesian firms by focusing on agency costs and ownership structure. Our study finds that firms with higher conflicts of interest among managers and shareholders pay lower dividend... Read More about Dividend policy of Indonesian listed firms: The role of families and the state.

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.

The Negative Core Beliefs Inventory (NCBI): Development and Psychometric Properties (2018)
Journal Article
Osmo, F., Duran, V., Wenzel, A., De Oliveira, I., Nepomuceno, S., Madeira, M., & Menezes, I. (2018). The Negative Core Beliefs Inventory (NCBI): Development and Psychometric Properties. Journal of Cognitive Psychotherapy, 32(1), https://doi.org/10.1891/0889-8391.32.1.67

Although the core belief construct is central in A. T. Beck's cognitive theory, little empirical research has been conducted to date to establish its psychometric properties as well as the way it explains manifestations of psychopathology. The aims o... Read More about The Negative Core Beliefs Inventory (NCBI): Development and Psychometric Properties.

Price discovery in the Chinese gold market (2018)
Journal Article
Jin, M., Li, Y., Wang, J., & Yang, Y. C. (2018). Price discovery in the Chinese gold market. Journal of Futures Markets, 38(10), 1262-1281. https://doi.org/10.1002/fut.21938

This study conducts price discovery analysis in the Chinese gold market. Our results indicate that Chinese gold market price discovery occurs predominantly in the futures market. The result is robust to numerous different measures of price discovery,... Read More about Price discovery in the Chinese gold market.

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.

A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus (2018)
Journal Article
Swaray, R., & Salisu, A. A. (2018). A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus. Global finance journal, 37, 199-218. https://doi.org/10.1016/j.gfj.2018.05.007

In this paper, we query whether the stock prices of nonintegrated firms in the upstream and downstream sectors of the global oil supply chain respond symmetrically to changes in oil prices. This inquiry relates to the “homogenous expectation” assumpt... Read More about A firm-level analysis of the upstream-downstream dichotomy in the oil-stock nexus.

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.

Investigating effects of organisational culture and learning on environmental collaboration and performance of Korean exporting firms (2018)
Journal Article
Bae, H.-S., & Grant, D. B. (2018). Investigating effects of organisational culture and learning on environmental collaboration and performance of Korean exporting firms. International Journal of Logistics Research and Applications, 21(6), 614-630. https://doi.org/10.1080/13675567.2018.1470232

© 2018 Informa UK Limited, trading as Taylor & Francis Group This paper presents an empirical study of the effect of organisational culture and learning capability factors on environmental collaboration and performance in green supply chains. A con... Read More about Investigating effects of organisational culture and learning on environmental collaboration and performance of Korean exporting firms.

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.