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Article
Publication date: 14 June 2018

Ganesh R., Naresh Gopal and Thiyagarajan S.

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

Abstract

Purpose

The purpose of this paper is to examine industry herding among the institutional investors and to find whether their herding behaviour is intentional or unintentional.

Design/methodology/approach

The study uses Lakonishok et al. (1992) model to examine the presence of industry herding behaviour among institutional investors. To determine whether the herding observed is intentional or unintentional, herding measure is regressed with volatility, volume, beta and return. The period of the study is from 1 April 2005-31 March 2015.

Findings

The findings of the study showed that though institutional investors have herding tendency towards most of the industries, in the overall period industry herding was not significant. The herding found in some industrial sectors was linked to economic performance of those sectors in India during the period of study and hence the herding was unintentional in nature.

Research limitations/implications

This is the first attempt to study industry herding among institutional investors and their intent in Indian market ever since the country opened its market to foreign investors in a big way. Present study is limited to the use of only bulk/block data instead of the entire trading data for the period.

Originality/value

This study is the first attempt to investigate industry herding behaviour of institutional investors in the market using their bulk and block trading data. The herding observed in well performing industries has been shown to be unintentional and hence rational. The results indicate that the entry of big institutional investors, including foreign institutions into the Indian market has not destabilised the market by irrational herding.

Details

South Asian Journal of Business Studies, vol. 7 no. 2
Type: Research Article
ISSN: 2398-628X

Keywords

Case study
Publication date: 11 August 2014

Rangarajan Srinivasan and Vindhyalakshmi A. Prasad

The case concerns introductory marketing management.

Abstract

Subject area

The case concerns introductory marketing management.

Study level/applicability

This case is suitable for MBA students.

Case overview

The case explains the current situation encountered by the airline industry in India. This case gives the reader a detailed picture of the reasons for the growth and the subsequent troubles faced by the Indian aviation industry.

Expected learning outcomes

The case is aimed at helping the students to analyse a marketing situation both from a macro-economic point of view and from an individual company perspective.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Details

Emerald Emerging Markets Case Studies, vol. 4 no. 3
Type: Case Study
ISSN: 2045-0621

Keywords

Article
Publication date: 20 May 2021

Jaber Valizadeh, Peyman Mozafari and Ashkan Hafezalkotob

Waste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. The purpose of…

Abstract

Purpose

Waste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. The purpose of this study is to design a new model for municipal waste collection vehicle routing problems with time windows and energy generating from waste. To this purpose, a bi-objective model is presented with the objectives of increasing the income of waste recycles and energy generation from waste and reducing emissions from environmental pollutants.

Design/methodology/approach

A bi-objective model is presented with the objectives of increasing income of recycles trade and energy generation and reducing emissions from environmental pollutants. Concerning the complexity of the model and its inability to solve large-scale problems, non-dominated sorting genetic algorithms and multi-objective particle swarm optimization algorithms are applied.

Findings

In this research, an integrated approach to urban waste collection modeling that coordinates the various activities of waste management in the city of Kermanshah and energy generation from waste are provided. Besides, this study calculates the criteria that show the environmental effects of municipal waste. The proposed model helps to collect municipal wastes in the shortest possible time in addition to reducing the total cost, revenues from the sale of recycled materials and energy production.

Originality/value

The proposed model boosts the current understanding of the waste management and energy generation of waste. The paper adds additional value by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

Details

Journal of Modelling in Management, vol. 17 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 15 July 2020

Jaber Valizadeh

Waste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. Since collecting…

Abstract

Purpose

Waste production and related environmental problems have caused urban services management many problems in collecting, transporting and disposal of waste. Since collecting and transporting waste are important parts of waste management budget, it is necessary to apply an appropriate method to reduce costs of collection. The aim of this study is to design a new model for urban waste collection vehicle routing problem with time windows and energy generating from waste.

Design/methodology/approach

A multiobjective model is presented with the objectives of minimizing cost of waste collection, reducing emissions from environmental pollutants and increasing income of recycles trade and energy recovery. Concerning the complexity of the model and its inability to solve large-scale problems, hyperactive genetic algorithms and multiple objective particle swarm optimization are applied.

Findings

The proposed model not only affects costs and income but also reduces the emissions of environmental pollutants. To solve the formulated model, multitarget approaches are applied on the processing site of Kermanshah city as a case study. The solutions of these algorithms and the exact method of partial constraints are compared and the outcomes are verified by numerical analysis by solving various examples in small, medium and large scales. The proposed model helps to collect urban wastes in the shortest possible time in addition to reducing the total cost, revenues from the sale of recycled materials and energy generation.

Research limitations/implications

Waste collection is related to VRP issue. Considering the environmental requirements in waste management, the concept of green supply chain is approached. This study provides a better understanding of urban waste management by examining various articles and combining economic and environmental dimensions. Waste management with a green approach and energy production from disposable waste involves many common stakeholders.

Practical implications

This study suggests that proper waste management can generate revenue from municipal waste. Moreover, it reduces cost of collecting and emission of environmental pollutants. These findings could motivate companies to waste management with a sustainable approach.

Originality/value

The proposed model boosts the current understanding of the waste management and energy generation of waste. The paper adds additional values by unveiling some key future research directions. This guidance may demonstrate possible existing and unexplored gaps so that researchers can direct future research to develop new processes.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

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