• Decision modeling for evaluating risks in pharmaceutical supply chains

      Moktadir, M. A.; Ali, S; Kumar Mangla, S; Sharmy, T; Luthra, S; Mishra, N; Garza-Reyes, Jose Arturo (Emerald, 2018-01)
      Purpose - Managing risks is becoming a highly focused activity in the health service sector. In particular, due to the complex nature of processes in the pharmaceutical industry, several risks have been associated to its supply chains. This paper therefore aims at identifying and analyzing the risks occurring in the supply chains of the pharmaceutical industry and proposing a decision model, based on the Analytical Hierarchy Process (AHP) method, for evaluating risks in pharmaceutical supply chains. Design/methodology/approach – The proposed model was developed based on the Delphi method and AHP techniques. The Delphi method helped to select the relevant risks associated to pharmaceutical supply chains. Sixteen sub-risks within four main risks were identified through an extensive review of the literature and by conducting a further investigation with experts from five pharmaceutical companies in Bangladesh. AHP contributed to the analysis of the risks and determination of their priorities. Findings – The results of the study indicated that supply related risks such as fluctuation in imports arrival, lack of information sharing, key supplier failure and non-availability of materials should be prioritised over operational, financial and demand related risks. Originality/value – This work is one of the initial contributions in the literature that focused on identifying and evaluating PSC risks in the context of Bangladesh. This research work can assist practitioners and industrial managers in the pharmaceutical industry in taking proactive action to minimize its supply chain risks. To the end, we performed a sensitivity analysis test, which gives an understanding of the stability of ranking of risks.
    • Do human critical success factors matter in adoption of sustainable manufacturing practices? An influential mapping analysis of multi-company perspective

      Ahuja, J; Kumar Panda, T; Luthra, S; Kumar, Anil; Choudhary, S; Garza-Reyes, Jose Arturo; University of Derby (Elsevier, 2019-08-10)
      Sustainable human factors and change management systems have been gaining significant attention at global level for implementation of sustainable practices within organisations. With the rise in environmental degradation, the automotive sector has made efforts to adopt Sustainable Manufacturing (SM) practices to decrease the adverse effects on the environment instigated by emissions. Human Critical Success Factors (HCSFs) may play an important role in adoption of SM but in literature, no study has yet discussed the influence of HCSFs on the adoption of SM practices. The current work is an effort to fill this gap and to analyse the importance of HCSFs in adopting SM practices from a multi-automotive company perspective. In the first phase study, HCSFs were identified from existing literature and an empirical analysis was carried out to finalise identified HCSFs. In the second phase, to understand the influential relationship among these HCSFs, a DEMATEL approach was employed for developing a cause-effect model for each company. The result suggested that 'Green motivation', 'Customer relationship management', 'Management leadership', 'Communication' and 'Strategic alignment' are the highly significant causal HCSFs in efficient adoption of SM practices. The results of the study will help industry practitioners and managers to make strategic plans in the context of SM practices and its relationship with human factors for sustainable business development.
    • A framework to achieve sustainability in manufacturing organisations of developing economies using Industry 4.0 technologies’ enablers

      Yadav, G; Kumar, Anil; Luthra, S; Garza-Reyes, Jose Arturo; Kumar, V; Batista, L; Veermata Jijabai Technological Institute, Mumbai, India; London Metropolitan University; Ch. Ranbir Singh State Institute of Engineering and Technology, Jhajjar, Haryana, India; University of Derby; et al. (Elsevier, 2020-07-07)
      Sustainability has emerged as one of the most important issues in the international market. Ignorance of sustainability aspects has led many manufacturing organisations to face huge financial losses. It has been observed that developed nations have successfully achieved sustainability in their manufacturing sectors. However, the rate of sustainability adoption in developing nations is significantly poorer. The current business trend offers new technologies such as the Internet of Things, Big data analytics, Blockchain, Machine learning, etc. These technologies can be termed under the Industry 4.0 paradigm when considered within a manufacturing context. It is significant to notice that such new technologies directly or indirectly contribute to sustainability. So, it is necessary to explore the enablers that facilitate sustainability adoption. This study aims to develop a framework to improve sustainability adoption across manufacturing organisations of developing nations using Industry 4.0 technologies. Initially, the enablers that strongly influence sustainability adoption are identified through a literature review. Further, a large scale survey is conducted to finalise the Industry 4.0 technologies’ enablers to be included in the framework. Based on the empirical analysis, a framework is developed and tested across an Indian manufacturing case organisation. Finally, Robust Best Worst Method (RBWM) is utilised to identify the intensity of influence of each enabler included in the framework. The findings of the study reveal that managerial and economical, and environmental enablers possess a strong contribution toward sustainability adoption. The outcomes of the present study will be beneficial for researchers, practitioners, and policymakers.
    • Industry 4.0 as enabler of sustainability diffusion in supply chain: analysis of influential strength of drivers in emerging economy

      Luthra, S; Kumar, Anil; Zavadskas, E; Mangla, S; Garza-Reyes, Jose Arturo; University of Derby; Plymouth University; Vilnius Gediminas Technical University; Government Engineering College India (Taylor & Francis, 2019-09-26)
      Industry 4.0 (I4.0) and sustainability are recent buzzwords in manufacturing environments. However, the connection between these two concepts is less explored in the literature. In the current business context, the future generation of manufacturing systems is greatly influenced by the rapid advancement of information technology. Therefore, this study aims to examine the drivers of I4.0 to diffuse sustainability in Supply Chains (SCs). This research identifies the most relevant drivers through the literature and discusses them with area experts. Afterwards, an empirical analysis is conducted to validate the key drivers. Finally, the Grey based DEMATEL method is employed to examine the influential strength of the identified drivers and to build an interrelationship diagram. ‘Government supportive policies’ and ‘Collaboration and transparency among supply chain members’ were reported as highly significant drivers of I4.0. This study is an initial effort that investigates the key drivers of I4.0 to achieve high triple bottom line (ecological-economic-social) gains in SCs by taking an example from an emerging economy, i.e. India. This study may help managers, practitioners and policy makers interested in I4.0 applications to diffuse sustainability in SCs.
    • Social and environmental sustainability model on consumers’ altruism, green purchase intention, green brand loyalty, and evangelism

      Panda, T. K.; Kumar, Anil; Jakhar, S; Luthra, S; Garza-Reyes, J. A.; Kazancoglu, I; Nayak, S.S.; University of Derby; OP Jindal Global University, India; Indian Institute of Management Lucknow, India; et al. (Elsevier, 2019-09-26)
      Across the globe, the awareness for environmental degradation and its harmful effects is rapidly growing. The whole world has come together to work in the direction to protect the environment. Consumers are increasingly becoming cautious towards the impact of their consumption pattern on environment and organisations can attain a competitive edge by leveraging this cautiousness by offering them green products/brands. However, it is importance for the marketers to understand that how increasing levels of sustainability awareness impacts other factors which explain pro-environmental behaviour of customers. To fill the existing gap in the current literature in this regard, the current study aims to build a structural model which includes social and environmental sustainability awareness in measuring customer altruism, buying intention, loyalty and customer evangelism. The theoretical model extends the existing framework of the Theory of Planned Behaviour (TPB) and explores the decision-making framework regarding ethical behaviour. Through existing literature review and expert input, the indicators (variables) for each construct were recognised. After that, data was collected from 331 respondents through a structurally designed questionnaire; the hypothetical model was test using the Structural Equation Modelling (SEM) technique. The findings of the study indicate that sustainability awareness positively influence the consumer altruism which in turn enhances the consumer purchase intention, green brand loyalty and green brand evangelism and altruism can and can bridge value-action gap for green brands. Current analysis supports the view that there are significant positive associations among the identified constructs.