Ashok Kumar Dua, Ayesha Farooq and Sumita Rai
The purpose of this paper is to examine the nature of relationship between ethical leadership and employee voice behavior. Study of employee voice behavior is important, because…
Abstract
Purpose
The purpose of this paper is to examine the nature of relationship between ethical leadership and employee voice behavior. Study of employee voice behavior is important, because leaders in organizations make numerous decisions based on employees’ work-related inputs which do influence the decision quality and team performance.
Design/methodology/approach
Survey data were collected through structured questionnaire from Indian organizations. Data were analysed through statistical techniques such as confirmatory factor analysis and structural equation modeling.
Findings
The findings showed that ethical leadership did impact the employee voice in a positive and significant but moderate manner. The study also found no significant differences in ethical leadership and voice behavior across demographic variables such as gender, age, educational qualification and job level in the Indian context.
Research limitations/implications
The study is conducted using single cross-sectional research design, and for better causal inferences of the relationship between various variables, future research studies may be conducted with longitudinal research design, multiple data sources and variety of industries with large sample size.
Practical implications
With erosion of ethical values and corporate scandals, managers need to develop and display ethical leadership as employees emulate their leaders’ ethical behavior because ethical leadership, or its perception, relates positively and significantly to employee voice behavior.
Originality/value
There is less study to understand ethical leadership and its influence on voice behavior in developing countries, especially in India. Ethical leadership behavior encourages employees to voice their work-related constructive opinions and concerns for improved decision-making and reduced unethical practices. Also, there is scarcity of research that explores the impact of demographic variables and this study is an effort to understand this gap.
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Shelza Dua, Sanjay Kumar, Ritu Garg and Lillie Dewan
Diagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete…
Abstract
Purpose
Diagnosing the crop diseases by farmers accurately with the naked eye can be challenging. Timely identification and treating these diseases is crucial to prevent complete destruction of the crops. To overcome these challenges, in this work a light-weight automatic crop disease detection system has been developed, which uses novel combination of residual network (ResNet)-based feature extractor and machine learning algorithm based classifier over a real-time crop dataset.
Design/methodology/approach
The proposed system is divided into four phases: image acquisition and preprocessing, data augmentation, feature extraction and classification. In the first phase, data have been collected using a drone in real time, and preprocessing has been performed to improve the images. In the second phase, four data augmentation techniques have been applied to increase the size of the real-time dataset. In the third phase, feature extraction has been done using two deep convolutional neural network (DCNN)-based models, individually, ResNet49 and ResNet41. In the last phase, four machine learning classifiers random forest (RF), support vector machine (SVM), logistic regression (LR) and eXtreme gradient boosting (XGBoost) have been employed, one by one.
Findings
These proposed systems have been trained and tested using our own real-time dataset that consists of healthy and unhealthy leaves for six crops such as corn, grapes, okara, mango, plum and lemon. The proposed combination of Resnet49-SVM and ResNet41-SVM has achieved accuracy of 99 and 97%, respectively, for the images that have been collected from the city of Kurukshetra, India.
Originality/value
The proposed system makes novel contribution by using a newly proposed real time dataset that has been collected with the help of a drone. The collected image data has been augmented using scaling, rotation, flipping and brightness techniques. The work uses a novel combination of machine learning methods based classification with ResNet49 and ResNet41 based feature extraction.
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Shamita Garg and Sushil
Globalisation has benefitted both developed and emerging markets. However, few recent studies have pointed out that globalisation has failed to deliver promising results. This…
Abstract
Purpose
Globalisation has benefitted both developed and emerging markets. However, few recent studies have pointed out that globalisation has failed to deliver promising results. This research aims to examine the impact of globalisation on different performance aspects of an emerging market like India.
Design/methodology/approach
We examined the impact of globalisation on different performance aspects of a country at the national, industry and firm levels. We have defined the performance dimensions for country-level analysis as GDP and unemployment. We have defined the performance dimensions as profitability for industry and firm-level analysis. The effects of globalisation on the critical economic performance aspects in the Indian setting are covered in the first part. In the second part, we used the panel regression approach to evaluate the impact of overseas revenue on the employability and profitability of select Indian auto firms. We have chosen the auto industry for industry analysis because of its extensive integration with other production fields. In the third section, we discussed how globalisation has improved the profitability of two Indian car companies.
Findings
This study finds that globalisation has benefitted nearly every aspect of the Indian economy's performance. India has gained from national, industry and firm globalisation.
Originality/value
This study is the first of its kind to examine the impact of globalisation on a country's performance across different levels, including national, industry and firm levels. We have studied the Indian context to develop a theory that globalisation still benefits emerging markets.
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Rahul Kumar, Kanwarpreet Singh and Sanjiv Kumar Jain
Dynamic business environment has a deep influence on production and management related exercises. In order to remain competitive, organization needs to coordinate with continuous…
Abstract
Purpose
Dynamic business environment has a deep influence on production and management related exercises. In order to remain competitive, organization needs to coordinate with continuous and unpredictable changes taking place in the market. Globalization of markets is posing competitive pressure on firms, which leads them to adopt a new manufacturing paradigm termed agile manufacturing (AM). The purpose of the present case study is to explore the contribution of AM towards agility and productivity enhancements in an Indian manufacturing company.
Design/methodology/approach
The study is carried out at forging industry which has been assessed on certain key business performance indicators. The assessment highlighted various issues which had scope for improvement to enhance the agility of the organization. Therefore, a phase-wise implementation of AM is carried to reap the significant benefits as a result of AM implementation in the case study company. The methodology has been applied to decrease the inline rejection, increase the productivity and responsiveness of the organization.
Findings
The results revealed an improvement in performance score from 77.5 to 100. Further, an increase in productivity and reduction in line rejection has been achieved through the systematic implementation of AM.
Practical implications
The study highlights the contributions of strategic AM implementation to organizational performance and highlights the need for successful management of AM practices for establishing sustained performance of the organization.
Originality/value
The contribution of the present work is the phase-wise implementation of AM in the case studied company.
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Sofiya Bano and Sandhya Pillai
The purpose of this paper is to prepare calcium oxide (CaO) nanoparticles by green synthesis technique and study its structural, morphological and optical properties. The prepared…
Abstract
Purpose
The purpose of this paper is to prepare calcium oxide (CaO) nanoparticles by green synthesis technique and study its structural, morphological and optical properties. The prepared samples were calcined at, 200°C, 300°C and 500°C, and the variation in the properties at different temperatures were investigated.
Design/methodology/approach
Green approach has been used in the present work to synthesise the CaO nanoparticles using Murraya Koenigii leaf (curry leaves) extract as a capping agent. This technique involves the use of nontoxic reagents and natural products derived from various parts of plants.
Findings
Studies reveal that CaO nanoparticles with good optical properties can be synthesized successfully by green approach. The optical absorbance spectra show a broad absorption peak around 400–500 nm. FTIR studies confirm the presence of different functional groups that help in the stabilization of CaO nanoparticles. PL emission spectra show a high intensity emission peak at around 231 nm in addition to peaks at 375 nm and 400 nm. XRD studies show planes of CaO cubic phase. SEM images show a nonuniform distribution of spherical particles along with some clusters. EDX spectra confirm the presence of calcium and oxygen.
Practical implications
CaO nanoparticles have wide applications in optical devices as well as in phototherapy. It is thus interesting to devise new and eco-friendly techniques to synthesise these nanoparticles to suit these applications.
Originality/value
This work would provide a new insight into the preparation of different metal oxide nanoparticles by a very simple and cost-effective green technique without the use of toxic reagents.
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Prachi Bhavesh Sanghvi and Seema Mehrotra
The purpose of this review was to examine Indian research on help-seeking for mental health problems in adults.
Abstract
Purpose
The purpose of this review was to examine Indian research on help-seeking for mental health problems in adults.
Design/methodology/approach
Original Indian research studies on help-seeking for mental health, published from the year 2001−2019 were searched on PubMed, EBSCO, ProQuest and OVID using a set of relevant keywords. After applying exclusion criteria, 52 relevant research studies were identified.
Findings
The reviewed studies spanned a variety of themes such as barriers and facilitators to help-seeking, sources of help-seeking, causal attributions as well as other correlates of help-seeking, process of help-seeking and interventions to increase help-seeking. The majority of these studies were carried out in general community samples or treatment-seeking samples. Very few studies incorporated non-treatment seeking distressed samples. There is a severe dearth of studies on interventions to improve help-seeking. Studies indicate multiple barriers to seeking professional help and highlight that mere knowledge about illness and availability of professional services may be insufficient to minimize delays in professional help-seeking.
Originality/value
Help-seeking in the Indian context is often a family-based decision-making process. Multi-pronged help-seeking interventions that include components aimed at reducing barriers experienced by non-treatment seeking distressed persons and empowering informal support providers with knowledge and skills for encouraging professional help-seeking in their significant others may be useful.