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The purpose of this paper is to facilitate perishable product supply chain (PPSC) managers and practitioners to assess PPSC failure events. The paper proposed fault tree methodology for assessing failures associated with PPSC for evaluating the performance in terms of effective PPSC management adoption.

Initially, different failure events were identified from literature and semi-structured interviews from experts. Fault tree model was developed from the identified failure events. Probability of failure events was calculated using Poisson distribution based on the annual reports and interviews conducted from experts. Further, qualitative analysis – minimum cut sets (MCSs), structural importance coefficient (SIC) – and quantitative analysis – Birnbaum importance measure (BIM), criticality importance factor (CIF) and diagnosis importance factor (DIF) – were performed for ranking of failure events. In this study, fault tree development and analysis were conducted on apple supply chain to present the authenticity of this method for failure analysis.

The findings indicate that the failure events, given as failure at production and procurement (A2), that is, involvement of middleman (BE3), handling and packaging failure (BE4) and transportation failure (A3), hold the highest-ranking scores in analysis of PPSC using fault tree approach.

This research uses the modularization approach for evaluation of failure events of PPSC. This paper explores failures related to PPSC for efficient management initiatives in apple supply chain context. The paper also provides suggestion from managerial perspective with respect to each failure event.

Women are the change agents in today's society. They are not only the harbingers of growth and development but also act as a major catalyst in the economic advancement and prosperity of the nation. India has been witnessing an expansion in women entrepreneurs given the conducive startup ecosystem we have created over the years. It has inspired women to break the shackles and switch to being a game changer for themselves and many others over the years. The study aims to explore the impact of social entrepreneurial leadership on women empowerment and how does benchmarking help in this process.

Using a semi-structured questionnaire, the study conducted one-to-one in-depth and focused group interviews with the five women social entrepreneurs and their team. NVivo was used for content and thematic analysis.

Major themes identified from the study include financial independence, women empowerment, social identity, autonomy, mobility, attaining self-confidence, creativity and innovation, fulfillment of motives, action and social learning, and setting standards (benchmarks). The findings revealed that social entrepreneurial leadership has a significant impact on women empowerment through benchmarking.

Social entrepreneurial leadership has the potential to revolutionize the very concept of women empowerment. The research tries to study specific cases of social entrepreneurial leadership and how they have been instrumental in shaping up the life of others through their efforts and determination.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.