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This paper aims to identify, analyze and evaluate the major enablers for the sustainable public distribution system (PDS) supply chain in India in lessening food insecurity by distributing essentials food grains at a subsidized rate.

The major enablers for the sustainable PDS supply chain were explored by conducting the literature survey and discussion with academic and warehouse experts. Then, the fuzzy-DEMATEL (decision-making trial and evaluation laboratory) technique was applied to develop a causal model that analyses the interaction among the identified enablers.

This study recognizes fifteen enablers through literature survey and experts' opinions. The present work concludes that “proper identification of the PDS beneficiaries” and “willingness and commitment of the top management and policymaker” are the two major enablers for the sustainable PDS supply chain.

This work would be helpful for profoundly understanding the major enablers, and how they are affecting the entire PDS supply chain. The study would be beneficial for the general people and the entire society straightforwardly by providing suggestions for food security.

Identifying and analyzing the major enablers for the sustainable PDS supply chain helps to visualize the problem more effectively and efficiently. Besides, the causal model explains a comprehensive perspective on the identified enablers.

While internal wars have acquired a new lease of life in the post-Cold War era and the capacity of the states has become limited thanks to globalization, non-state actors are seen to play an increasingly important role in handling and mitigating them. The paper focuses on four such interventions in contemporary India ranging from (a) parties themselves striving hard for bringing the conflicts to an end and (b) “third party” acting as a mediator to (c) both armed and unarmed interventions of organized nature and (d) initiatives individuals take while trying to resolve them. Not all such interventions are necessarily civil society interventions for the latter aim not only at ending conflicts but ending them in a way that establishes the principles of rights, justice, and democracy.

This article takes stock of interdisciplinary research on Multinational Corporations (MNCs) by elucidating paradigmatic shifts in the world of MNCs in the new millennium and analysing more recent developments in the disciplines of International Business (IB) and Organization Theory (OT). The article also introduces the altogether 14 individual contributions of this 49th volume of the Research in the Sociology of Organizations series. It closes by looking into the questions of where interdisciplinary OT/IB research on MNCs is now and where it is likely to go in the future.

The present study aims to demonstrate the performance assessment of flexible pavement structure in probabilistic framework with due consideration of spatial variability modeling of input parameter.

The analysis incorporates mechanistic–empirical approach in which numerical analysis with spatial variability modeling of input parameters, Monte Carlo simulations (MCS) and First Order Reliability Method (FORM) are combined together for the reliability analysis of the flexible pavement. Random field concept along with Cholesky decomposition technique is used for the spatial variability modeling of the input parameter and implemented in commercially available finite difference code FLAC for the numerical analysis of pavement structure.

Results of the reliability analysis, with spatial variability modeling of input parameter, are compared with the corresponding results obtained without considering spatial variability of parameters. Analyzing a particular three-layered flexible pavement structure, it is demonstrated that spatial variability modeling of input parameter provides more realistic treatment to property variations in space and influences the response of the pavement structure, as well as its performance assessment.

Research is based on reliability analysis approach, which can also be used in decision-making for quality control and flexible pavement design in a given environment of uncertainty and extent of spatially varying input parameters in a space.