More than half of the world's population is poor. Certainly, their purchasing power cannot be compared with that of the riches, but it is their collective purchase potential which makes them a substantial market. The fast moving consumer goods (FMCGs), on the other hand, are the fourth largest industry in the world. FMCGs are relatively low cost products and the poor, by necessity, spend a significant amount of their income on FMCGs. So, by virtue of being a large consumer base for FMCGs, the poor are a promising market for the FMCG marketers. But little is known about their buying behaviour for FMCGs as only a few studies have been conducted on them in this regard. This study aims to explore their shopping orientations towards price, quality and brand for FMCGs in the context of one of the largest developing countries like India by exploring their consumer decision-making styles (CDMSs), especially their price consciousness, quality consciousness, brand consciousness and brand loyalty. Besides it, it also explores their post purchase behaviour and testifies its mechanism with the above mentioned CDMSs in the present context through structured equation modelling.

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Marketing as a discipline has evolved over a period of time where the traditional concept imparts that goods were produced to be sold to the customers and the modern marketing states that goods are produced according to the needs and demand of the customers. The current marketing management emphasises on satisfying the needs of the customers without any environmental degradation. This green concept is building over the last decade because of consumer concern, government regulations, environmental lobbies’ pressure and social responsibilities of the corporates towards environment. Also green marketing is offering a new competitive advantage to the companies who wish to target their green consumers. The current study aims to sketch out the concept of green marketing by discussing and analysing the existing knowledge of the definitions, themes, dimensions and their components so as to frame chronologically development of the same.

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One of the major challenge from unplanned growth in the cities is the fire incidents posing a serious threat to life and property. Delhi, the capital city of India, has seen unplanned growth of colonies resulting in a serious concern for the relevant agencies. This paper investigates the relation between potential causes of fire incidents during 2013-2016 in South-West Delhi Division of Delhi Fire Services as part of risk analysis using the data about fire stations & their jurisdictions, incidents of fire, water reservoirs available, landuse and population data along with the divisional & sub-divisional boundaries of South-West Delhi division under Delhi Fire Service. Statistical and Geospatial tools have been used together to perform the risk analysis. The analysis reveals that difference in actual occupancy and defined landuse as a part of unplanned growth of settlements is found to be the main reason behind the major fire incidents. The suggested mitigation measures focus on legal, policy, physical & technological aspects and highlight the need to bring the systemic changes with changing scenario of demographics and infrastructure to accommodate more aspects of ground reality.

Relief and rehabilitation is an important component of disaster management. Success of this humanitarian intervention is dependent upon a combination of factors; logistics is among the important ones. The purpose of this article is to discuss key drivers of performance while managing disaster relief logistics. This research uses two-stage research designs. The first stage incorporates exploratory research through interviews with experts and focus group discussions. In the second stage, a survey was conducted among those affected by the Kosi floods (2008) in Bihar. A non-random sampling plan was adopted. Results show that there is empirical evidence that the key drivers identified in the present research positively influence the performance of relief operations. This work can also help practitioners and policy makers identify important parameters related to relief logistics. The study was confined to India and only focuses on sudden onset disasters.

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