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This study aims to analyze the impact of ethical leadership on organizational citizenship behavior and turnover intention of employees working in the financial sector, considering procedural justice as a mediator.

Data was collected from 306 employees working in the financial sector (banking, insurance and mutual fund) in India. The data was collected in two phases to avoid common method bias by using standardized close-ended questionnaires. Data for this study was assessed using Smart Partial Least Square (PLS) 3.

The results show that ethical leadership is significantly associated with procedural justice, organizational citizenship behavior and turnover intention. Further procedural justice acts as a mediator between ethical leadership and organizational citizenship behavior; also between ethical leadership and turnover intention.

The research contribute in understanding the role of procedural justice as a mediator between ethical leadership and organizational citizenship behavior and turnover intention for the employees working in the financial sector in India.

The objective of the present study is to identify and analyze a set of critical success factors (CSFs) for ice-cream industry [cold chain management (CCM)] that helps in increasing the efficacy, quality, performance and growth of the supply chain organization.

A questionnaire survey with companies in ice-cream sector and a panel study with experts were conducted to identify and validate CSFs and their associated sub-factors. Eight CSFs identified from the cold chain domain vetted for the ice-cream industry and then prioritized by using one of the most well-known decision-making frameworks, Decision-Making Trial and Evaluation Laboratory. The general verdicts of the modelling and its application to the real-world case have been tested through an ice-cream company supply chain.

The result shows that the significant CSFs accountable for the growth of the ice-cream industry are the infrastructure and capacity building, consistent product improvement and operational efficiencies of the value chain. Subsequently, it was identified that the use of IT and related technologies and improved processes for operations also play a considerable role in the performance of ice-cream industry.

The study successfully outlines the effective CCM practices for critical issues. The proposed methodology and factor modelling case demonstration might be useful in analyzing the logistic chains of products such as fruits, drugs and meat.

The meritorious identification of critical areas and executing mitigation plans bring notable benefits to the firms such as improved operational efficiencies, improved time to market performance and product innovation, which bring additional benefits to the producers.

The 12^th South Asian Games were held in India in Guawhati and Shillong in February 2016, after repeated rescheduling. There were a number of challenges to organizing the games such as lack of infrastructure, legacy of corruption from past games, shortage of time etc. However, the games were held within 90 days of the announcement of venues and final dates. Sri Yadav, the Secretary, Department of Sports wants to understand the key drivers of success behind organizing the event. He also wants to understand how the success of Indian athletes at SAG could be leveraged for success at larger events.

While going for mergers and acquisitions (M&A) management smell financial synergy or/and operating synergy in different ways. But actually are they able to generate that potential synergy or not, is the important issue. The aim of this study is to find out whether the claims made by the corporate sector while going for M&As to generate synergy, are being achieved or not in Indian context.

This empirical study is based on secondary financial data and tabulation, ratio analysis, correlation etc. is being used for analysis.

The results indicate that in many cases of M&As, the acquiring firms were able to generate synergy in long run, that may be in the form of higher cash flow, more business, diversification, cost cuttings etc.

The research shows that management cannot take it for granted that synergy can be generated and profits can be increased simply by going for mergers and acquisitions. A case study based research parallel to this study could be initiated to get nearer to reality show.

This study is an extension of M&A performance research, which has been conducted mostly in developed nations on their firms, to Indian firms by taking substantially large number of cases.

The purpose of this paper is to provide a better method for quality management to maintain an essential level of quality in different fields like product quality, service quality, air quality, etc.

In this paper, a hybrid adaptive time-variant fuzzy time series (FTS) model with genetic algorithm (GA) has been applied to predict the air pollution index. Fuzzification of data is optimized by GAs. Heuristic value selection algorithm is used for selecting the window size. Two algorithms are proposed for forecasting. First algorithm is used in training phase to compute forecasted values according to the heuristic value selection algorithm. Thus, obtained sequence of heuristics is used for second algorithm in which forecasted values are selected with the help of defined rules.

The proposed model is able to predict AQI more accurately when an appropriate heuristic value is chosen for the FTS model. It is tested and evaluated on real time air pollution data of two popular tourism cities of India. In the experimental results, it is observed that the proposed model performs better than the existing models.

The management and prediction of air quality have become essential in our day-to-day life because air quality affects not only the health of human beings but also the health of monuments. This research predicts the air quality index (AQI) of a place.

The proposed method is an improved version of the adaptive time-variant FTS model. Further, a nature-inspired algorithm has been integrated for the selection and optimization of fuzzy intervals.