This study aims to align the objectives of key stakeholders by developing an integrated framework for high-impact natural disaster risk management. High-impact natural disasters…
Abstract
Purpose
This study aims to align the objectives of key stakeholders by developing an integrated framework for high-impact natural disaster risk management. High-impact natural disasters have emerged as one of the most challenging policy issues.
Design/methodology/approach
The authors have applied the thematic text analysis for analysing the list of questions essential to develop an integrated framework. For theory, the authors have used the theoretical framework of collaborative governance.
Findings
The current work explains how to identify key stakeholders. Furthermore, it describes the framework to fit stakeholders' actions into the actionable components of risk management. Additionally, this framework also helps the firms that fall under the category of the industries “in the proximity of risks” and “the support industries” in modifying their role in the context of natural disaster risk.
Research limitations/implications
The limitation of this framework is that the authors relied on commonly occurring natural disaster risks to develop the framework. Therefore, risk-specific aspects are less likely to be thoroughly covered in this framework. However, this limitation is not directly impacting the goal of this study. Additionally, in the future more comprehensive framework with the additional element in the existing framework can overcome these limitations.
Practical implications
The findings of the study offer insights that can be useful for policymakers in developing various preventive strategies. Managers can use the results and align their objectives with policy goals.
Social implications
Socially, if communities try to design local risk management strategies, this framework would be helpful.
Originality/value
This study illustrates the role of objective alignment in high-impact risk management. This study is crucial in extending current knowledge on high-impact natural disaster risk management.
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Ankit Kumar Srivastava, A.N. Tiwari and S.N. Singh
This paper aims to accurately estimate harmonics/interharmonics in modern power system. There are several high spectral resolution techniques that have been in use for several…
Abstract
Purpose
This paper aims to accurately estimate harmonics/interharmonics in modern power system. There are several high spectral resolution techniques that have been in use for several years like Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Prony methods, etc. but these techniques require prior knowledge of number of modes present in the signal. Model Order (MO) estimation techniques have to make a trade-off between accuracy and their speed i.e., computational burden. Therefore, there is always a requirement of a technique that is fast as well as accurate.
Design/methodology/approach
The proposed standard deviation (SD) method eliminates the requirement of energy validation test and analyses the distribution pattern, i.e. standard deviation of eigenvalues to identify the number of modes present in the signal. Signal is reconstructed using estimated modes and reconstruction error is obtained to show accuracy of the proposed estimation.
Findings
Six test synthetic signals as well as one practical signal have been taken for validating the proposed method. The paper shows that proposed methodology has a better accuracy compared to modified exact model order (MEMO) method in high noise environment and takes very less computation time compared to the exact model order (EMO) method.
Practical implications
The proposed method has been practically implemented for harmonic/interharmonic analysis at a sewage treatment plant at GIFT City, Gujarat, India. Apart from this the proposed method is modeled in python-based tool and is run into low-cost Raspberry Pi like hardware to create an onsite as well as remote monitoring device.
Originality/value
SD-based approach for model order estimation is novel to this area. Further, the proposed method is compared with EMO and MEMO under varying noise conditions to check for accuracy and estimation time.
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Nitya Nand Tripathi, Aviral Kumar Tiwari, Shawkat Hammoudeh and Abhay Kumar
The study tests risk-taking and risk-aversion capabilities while distinguishing between business group firms and stand-alone firms and considering oil price volatility. Second…
Abstract
Purpose
The study tests risk-taking and risk-aversion capabilities while distinguishing between business group firms and stand-alone firms and considering oil price volatility. Second, this attempt to study the linkage between risk-taking during market down movements and when the firms have established themselves as product market leaders. Third, this study analyses the “sentiment” state, where it explores the reaction of corporations when the market is in the negative direction, and lastly, it explores the linkage between product market competition and risk-aversion.
Design/methodology/approach
This study uses financial information for 1,273 non-financial companies and other required data from various sources. The study employs panel data and utilizes different empirical methodologies, including the generalized method of moments (GMM) estimator, to test the stated hypotheses.
Findings
We find that the business group firms have more risk-taking proficiencies compared with the stand-alone firms. Moreover, this study discovers that the corporates avoid taking risks when the market is not performing well. Also, when the market is down and crude prices are high, the management expects high earnings in the future, willingly takes risks and shows that product market leaders do not follow the risk-aversion strategy.
Practical implications
The empirical results indicate that oil price movement can restrict management’s behaviour when choosing a risky investment project. Management should develop a robust policy that follows the group of firms. In the policy, the management should describe the level of risk that may be taken by the firm and implement it when required.
Originality/value
Since we do not find any studies in this context, then there is a major and essential gap in the literature that this study should fill.
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Keywords
Naveenkumar R., Shanmugam S. and Veerappan AR
The purpose of this paper is to understand the effect of basin water depth towards the cumulative distillate yield of the traditional and developed single basin double slope solar…
Abstract
Purpose
The purpose of this paper is to understand the effect of basin water depth towards the cumulative distillate yield of the traditional and developed single basin double slope solar still (DSSS).
Design/methodology/approach
Modified single basin DSSS integrated with solar operated vacuum fan and external water cooled condenser was fabricated using aluminium material. During sunny season, experimental investigations have been performed in both conventional and modified DSSS at a basin water depth of 3, 6, 9 and 12 cm. Production rate and cumulative distillate yield obtained in traditional and developed DSSS at different water depths were compared and best water depth to attain the maximum productivity and cumulative distillate yield was found out.
Findings
Results indicated that both traditional and modified double SS produced maximum yield at the minimum water depth of 3 cm. Cumulative distillate yield of the developed SS was 16.39%, 18.86%, 15.22% and 17.07% higher than traditional at water depths of 3, 6, 9 and 12 cm, respectively. Cumulative distillate yield of the developed SS at 3 cm water depth was 73.17% higher than that of the traditional SS at 12 cm depth.
Originality/value
Performance evaluation of DSSS at various water depths by integrating the combined solar operated Vacuum fan and external Condenser.
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Keywords
Shweta Singh, Amar Nath Tiwari and S.N. Singh
For vector control of permanent magnet synchronous motor (PMSM) requires motor speed and rotor position estimation. The precision of the open-loop techniques of the stator flux…
Abstract
Purpose
For vector control of permanent magnet synchronous motor (PMSM) requires motor speed and rotor position estimation. The precision of the open-loop techniques of the stator flux and speed for vector control PMSM drive drops as mechanical speed decreases. The stator resistance and estimated stator flux values crisscross have a huge effect on the transient and steady-state performance of the drive at lower speed. The framework turns out to be increasingly strong against parameter crisscross and signal noises by using adaptive observers for estimation of speed and flux.
Design/methodology/approach
This paper presents a comparison of two-speed observers for the vector control PMSM drive: the sliding mode observer (SMO) and the model reference adaptive system (MRAS). A comprehensive analysis of SMO and MRAS respects dynamic, steady-state performance and robustness, affectability, stability and computational complexity has been introduced. The abstract of the advantages and disadvantages of both observer and their comparative analysis have also been discussed.
Findings
Dynamic performance steady-state performance and robustness, affectability and stability.
Originality/value
This paper presents a sensorless scheme, namely, MRAS and SMO for control of PMSM drive. These sensorless techniques have been tested for a PMSM motor drive and the motor performance was compared for both techniques. Matlab/Simulink based simulation results conclude that the adaptive methods improve dynamic response, reduces torque ripples and extended speed range.
Details
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Nanotechnology has developed gradually in recent years and it is encountered in various applications. It has many usage area especially in energy systems. The purpose of this…
Abstract
Purpose
Nanotechnology has developed gradually in recent years and it is encountered in various applications. It has many usage area especially in energy systems. The purpose of this study, in a photovoltaic thermal system, thermal behaviours of a PV panel has been investigated by energy and exergy analysis method using a phase change material inserted 5 per cent weighted Al2O3 nanoparticle.
Design/methodology/approach
In this study, one of the three different PV panels was kept normally, the other one was filled with a phase changing material (paraffin-wax) and the last panel was filled with the mixture of a nanoparticle and paraffin-wax.
Findings
After the analyses, especially during the time intervals when the radiation is high, it is found that the panel with Np-paraffin mixture has a high electrical and thermal efficiency. In addition, as a result of the exergy analyses, average exergy efficiency of the panel with Np-paraffin mixture has been determined as 10 per cent, whereas that of the panel with paraffin as 9.2 per cent.
Originality/value
Nanoparticles had not been used with PCMs in photovoltaic–thermal systems in the studies made before.
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Keywords
Rajeev Kumar, Damodar Suar, Sanjay Kumar Singh and Sangeeta Das Bhattacharya
Purpose – This study investigates the sociodemographics, late entry to antiretroviral therapy (ART), and clinical markers associated with AIDS-related mortality…
Abstract
Purpose – This study investigates the sociodemographics, late entry to antiretroviral therapy (ART), and clinical markers associated with AIDS-related mortality.
Methodology/Approach – Applying retrospective cohort design, 960 medical records of people who died of AIDS, from October 2006 to December 2014, were accessed from the ART center at tertiary health care center of Ranchi (India).
Findings – With useable data from 889 medical records revealed that the majority of people who died of AIDS consisted of married males in the age group of 19–40 years who were truck drivers, migrant laborers, and of rural origins. The median survival period was below 3 months following the ART. Males and people on the pre-ART group had a shorter survival period than their counterparts. Early mortality was associated with lower CD4+ T cell counts, the third or fourth clinical stage, ambulatory or bed-ridden functional status, and poor medication adherence.
Research limitations/implications – This study was limited to the analysis of AIDS deceased people only; it did not compare the survival duration with living people on ART. The lower CD4+ T cell counts and medication adherence, being strong predictors of mortality, can be addressed to attain higher survival rates of people who have AIDS.
Originality/Value of Paper – This is the first study conducted in the tribal-populated region, covering a large sample of 889 cases. Unique findings of this study update the existing data on AIDS-related mortality.
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Ramesh Krishnan, Rohit G and P N Ram Kumar
Considering sustainability and resilience together is crucial in food supply chain (FSC) management, as it ensures a balanced approach that meets environmental, economic and…
Abstract
Considering sustainability and resilience together is crucial in food supply chain (FSC) management, as it ensures a balanced approach that meets environmental, economic and social needs while maintaining the system's capacity to withstand disruptions. Towards this, a multi-objective optimisation model is proposed in this study to create an integrated sustainable and resilient FSC. The proposed model employs four objective functions – each representing a dimension of sustainability and one for resilience and utilises an augmented ϵ-constraint method for solving. The findings highlight the interplay between sustainability aspects and resilience, illustrating that overemphasis on any single dimension can adversely affect others. Further, the proposed model is applied to the case of Indian mango pulp supply chain and several inferences are derived. The proposed model would assist decision-makers in making a well-balanced choice based on sustainability and resilience considerations.
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Muhammed Ashiq Villanthenkodath and Shreya Pal
This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.
Abstract
Purpose
This study scrutinizes the impact of economic globalization on ecological footprint while endogenizing economic growth and energy consumption during 1990–2018 in India.
Design/methodology/approach
For time series analysis, the standard unit root test has been employed to unveil the integration order. Then, the cointegration was confirmed using autoregressive distributed lag (ARDL) analysis. Further, the study executed the dynamic ARDL simulation model to estimate long-run and short-run results along with simulation and robotic prediction.
Findings
The cointegration analysis confirms the existence of a long-run association among variables. Further, economic globalization reduces the ecological footprint in the long-run. Similarly, energy consumption decreases the ecological footprint. In contrast, economic growth spurs the ecological footprint in India.
Originality/value
The present study makes valuable and original contributions to the literature by applying a multivariate ecological footprint function, assessing the impact of economic globalization on ecological footprint while considering economic growth and energy consumption in India.
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Prasant Kumar Pandey, Naval Bajpai and Abhijeet V. Tiwari
Many studies conducted on cause-related marketing (CaRM) are concentrated in advanced economies. However, there is very little work reported pertaining to CaRM in emerging…
Abstract
Purpose
Many studies conducted on cause-related marketing (CaRM) are concentrated in advanced economies. However, there is very little work reported pertaining to CaRM in emerging economies like India. Hence, the aim of this study is to analyze the effect of CaRM on the customers' purchase intention (PI) in the Indian fast-moving consumer goods (FMCGs) sector, which is the fourth largest sector in the Indian economy. Further, this study tests the mediating effect of attitude and the moderating effect of cause involvement.
Design/methodology/approach
This paper employs a quantitative methodology. Primary data were collected from 1220 respondents from North India. PLS-SEM is employed to examine the data.
Findings
The findings reveal that CaRM strongly impacts FMCG customers' purchasing intentions. Further, a positive attitude toward cause-related marketing triggers the customer purchase intention. Third, the results show that cause involvement moderates purchase intentions, so those who feel passionately dedicated to the cause are more inclined to buy while being involved in the cause-related marketing program.
Practical implications
The results would aid marketers in developing effective CaRM campaigns for their FMCG brands by understanding the different combinations of factors influencing CaRM.
Originality/value
FMCG is one of the major pillars of the Indian economy. This research proposes a comprehensive conceptual framework for the current study that is supported by literature. This study provides evidence of the increasingly important role of CaRM in establishing a win-win association with customers, aiming to solve specific societal causes and creating a favorable image of the brand in the FMCG sector.