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Trouble was brewing for Nestle in India with a lab test finding MSG in Maggi noodles, a product brand which had been adjudged ‘most powerful’ and ‘most trusted’ in India;it was being banned in different parts of the country. Paul Bulcke, CEO of Nestle SA, arrived in New Delhi to face the heat and take necessary damage control measures. The case challenges the participants to review the events leading to a total ban on all the nine variants of Maggi noodles imposed by FSSAI, the Indian Regulator, by Nestle India. It also challenges them to suggest ways of taking care of the business in future in India as well as its effects in other countries.

The electric power system is a complex system, whose operating condition may not remain at a constant value. The various contingencies like outage of lines, transformers, generators and sudden increase of load demand or failure of equipments are more common. This causes overloads and system parameters to exceed the limits thus resulting in an insecure system. The purpose of this paper is to enhance the power system security by alleviating overloads on the transmission lines.

Fuzzy logic system (FLS) with particle swarm optimization based optimal power flow approach is used for overload alleviation on the transmission lines. FLS is modeled to find the changes in inertia weight by which new weights are determined and their values are applied to particle swarm optimization (PSO) algorithm for velocity and position updation.

The proposed method is tested and examined on the standard IEEE-30 bus system under base case and increased load conditions at different contingency. This method gives better results in terms of optimum fuel cost and fast convergence under base case and could alleviate the line overloads at different contingency with optimum generation cost, when compared to adaptive particle swarm optimization (APSO) and PSO.

FLS is modeled in MATLAB environment. The effectiveness of the proposed method is tested and examined on the standard IEEE-30 bus system and their results are compared with APSO and PSO under MATPOWER environment. The results show that the proposed algorithm is capable of improving the transmission security with optimum generation cost.

The purpose of the study is to explore and analyze m-car rental service quality dimensions.

Exploratory factor analysis method is applied to explore the m-car rental service quality dimensions. Further, confirmatory factor analysis is done to prove the reliability and validity of the factors using AMOS 22.0.

The results reveal the m-car rental service quality dimensions: ambient quality, technical quality, comfort, safety and employee service, mobile convenience, mobile responsiveness, mobile efficiency and reliability and mobile safety and billing.

The explored dimensions of car rental services are in Indian environment. So, these dimensions can be further validated in other similar cultural context.

The proposed measurements can also be applied to measure and compare the service quality performance of car rental firms.

Current literature does not confirm the stable factor structure of m-car rental service quality. This study confirms the reliable and valid dimensions of care rental service through mobile app.

This paper aims to identify the dimensions of service quality in the case of ride-sourcing services in Indian context.

The service quality dimensions of ride-sourcing services are identified using an exploratory factor analysis (EFA). Further, the reliability and validity of the factors are established through confirmatory factor analysis (CFA) using AMOS.

The service quality dimensions of ride-sourcing services are identified: comfort, internal environment, safety and personnel, mobile convenience and reliability, mobile system efficiency and availability, mobile customer service and billing and mobile security and privacy.

The various dimensions are identified to measure service quality of ride-sourcing services in India. So, these dimensions can be tested for ride-sourcing services of countries having similar culture as India.

The proposed dimensions can be used as a diagnostic tool to identify and compare important criteria for service quality of ride-sourcing services.

Most relevant studies about dimensions of service quality for ride-sourcing services do not have stable factor structure. The dimensions identified include the traditional taxi service quality and mobile app service quality, which are not covered in current literature.