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Article
Publication date: 14 January 2019

Sovanjeet Mishra and S. Pavan Kumar

The purpose of this paper is to highlight e-recruitment and training comprehensiveness as the untapped antecedents of employer branding (EB) in the relevant literature…

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Abstract

Purpose

The purpose of this paper is to highlight e-recruitment and training comprehensiveness as the untapped antecedents of employer branding (EB) in the relevant literature, which might enhance the employer’s knowledge and lead to organisational development.

Design/methodology/approach

This study adopts an exploratory conceptual modelling approach based on the extant literature from 1964 to 2017 using the databases of Emerald, EBSCO, Scopus, Proquest, JSTOR and search engines such as Google Scholar to ensure the reliability of the literature.

Findings

This paper suggests that e-recruitment and training comprehensiveness might be the untapped antecedents of EB as compared to traditional recruitment and training process explored in earlier studies.

Research limitations/implications

The viewpoint can be further refined through academic conceptualisation and empirical validation.

Practical implications

This paper lays a conceptual foundation in the emerging area of EB. Ideas expressed herein can be approached by academicians.

Originality/value

Past studies have not explored e-recruitment and training comprehensiveness as the antecedents of EB. This work provides knowledge that candidly contributes to the conceptualisation of e-recruitment and training comprehensiveness. Further, this research has the potential to help academicians to understand the antecedents of EB leading to organisational development.

Details

Industrial and Commercial Training, vol. 51 no. 2
Type: Research Article
ISSN: 0019-7858

Keywords

Article
Publication date: 29 November 2022

K.V. Ansab and S. Pavan Kumar

Electric cars have very little market share in developing countries despite their environmental benefits. Thus, governments have started promoting electric cars by…

Abstract

Purpose

Electric cars have very little market share in developing countries despite their environmental benefits. Thus, governments have started promoting electric cars by providing financial incentives to consumers. The current article aims to examine the direct and indirect effects of government financial incentives on consumer electric car adoption in India.

Design/methodology/approach

The study followed a quantitative research method that employed a self-administered survey questionnaire. Structural Equation Modelling and Multi-Group Analysis were followed for data analysis.

Findings

The study revealed that financial incentives have an indirect effect on electric car adoption intention rather than a direct effect. In addition, financial incentives were found to have a direct effect on attitude and Perceived Behavioural Control (PBC). Attitude and PBC positively influenced consumer adoption intention.

Practical implications

The insights and implications from the present study would help policymakers and marketers to formulate better incentive policies and market strategies to increase consumer acceptance of electric cars in developing countries.

Originality/value

The study contributes to the literature by analysing the underlying mechanism that links government financial incentives to electric car adoption intention. This study also explored the direct effect of financial incentives on attitude and PBC, which are less investigated in electric vehicle literature. In addition, the present article also assessed the moderating role of age in electric car adoption, which has mixed evidence in the literature, and such studies are scarce in the Indian context.

Details

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

Keywords

Article
Publication date: 29 July 2019

This paper aims to review existing literature about both e-recruitment and training comprehensiveness to find out if there was a link to perceptions of the organization…

703

Abstract

Purpose

This paper aims to review existing literature about both e-recruitment and training comprehensiveness to find out if there was a link to perceptions of the organization among employees. The authors felt this would lead to more positive beliefs and higher levels of employer branding (EB).

Design/methodology/approach

To test their beliefs, they analyzed literature published between 1964 and 2017. The strategy was to use the databases of Emerald, EBSCO, Scopus, ProQuest and JSTOR, and search engines like Google Scholar. They searched for key words and came up with 51 articles, 17 dealing with employer branding, 23 about e-recruitment and employer branding, and 11 about training comprehensiveness and employer branding.

Findings

The authors felt the literature review confirmed their beliefs that e-recruitment was a good way to create a more positive view of organizations, and training comprehensiveness helped to develop both employee skills and levels of commitment.

Originality/value

Very little research has previously addressed e-recruitment and training comprehensiveness as drivers of EB.

Details

Human Resource Management International Digest , vol. 27 no. 5
Type: Research Article
ISSN: 0967-0734

Keywords

Article
Publication date: 14 November 2016

Shrawan Kumar Trivedi and Shubhamoy Dey

The email is an important medium for sharing information rapidly. However, spam, being a nuisance in such communication, motivates the building of a robust filtering…

Abstract

Purpose

The email is an important medium for sharing information rapidly. However, spam, being a nuisance in such communication, motivates the building of a robust filtering system with high classification accuracy and good sensitivity towards false positives. In that context, this paper aims to present a combined classifier technique using a committee selection mechanism where the main objective is to identify a set of classifiers so that their individual decisions can be combined by a committee selection procedure for accurate detection of spam.

Design/methodology/approach

For training and testing of the relevant machine learning classifiers, text mining approaches are used in this research. Three data sets (Enron, SpamAssassin and LingSpam) have been used to test the classifiers. Initially, pre-processing is performed to extract the features associated with the email files. In the next step, the extracted features are taken through a dimensionality reduction method where non-informative features are removed. Subsequently, an informative feature subset is selected using genetic feature search. Thereafter, the proposed classifiers are tested on those informative features and the results compared with those of other classifiers.

Findings

For building the proposed combined classifier, three different studies have been performed. The first study identifies the effect of boosting algorithms on two probabilistic classifiers: Bayesian and Naïve Bayes. In that study, AdaBoost has been found to be the best algorithm for performance boosting. The second study was on the effect of different Kernel functions on support vector machine (SVM) classifier, where SVM with normalized polynomial (NP) kernel was observed to be the best. The last study was on combining classifiers with committee selection where the committee members were the best classifiers identified by the first study i.e. Bayesian and Naïve bays with AdaBoost, and the committee president was selected from the second study i.e. SVM with NP kernel. Results show that combining of the identified classifiers to form a committee machine gives excellent performance accuracy with a low false positive rate.

Research limitations/implications

This research is focused on the classification of email spams written in English language. Only body (text) parts of the emails have been used. Image spam has not been included in this work. We have restricted our work to only emails messages. None of the other types of messages like short message service or multi-media messaging service were a part of this study.

Practical implications

This research proposes a method of dealing with the issues and challenges faced by internet service providers and organizations that use email. The proposed model provides not only better classification accuracy but also a low false positive rate.

Originality/value

The proposed combined classifier is a novel classifier designed for accurate classification of email spam.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 46 no. 4
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 2 August 2021

Mayur Pratap Singh, Pavan Kumar Meena, Kanwer Singh Arora, Rajneesh Kumar and Dinesh Kumar Shukla

This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental…

Abstract

Purpose

This paper aims to measure peak temperatures and cooling rates for distinct locations of thermocouples in the butt weld joint of mild steel plates. For experimental measurement of peak temperatures, K-type thermocouples coupled with a data acquisition system were used at predetermined locations. Thereafter, Rosenthal’s analytical models for thin two-dimensional (2D) and thick three-dimensional (3D) plates were adopted to predict peak temperatures for different thermocouple positions. A finite element model (FEM) based on an advanced prescribed temperature approach was adopted to predict time-temperature history for predetermined locations of thermocouples.

Design/methodology/approach

Comparing experimental and Rosenthal analytical models (2D and 3D) findings show that predicted and measured peak temperatures are in close agreement, while cooling rates predicted by analytical models (2D, 3D) show significant variation from measured values. On the other hand, 3D FEM simulation predicted peak temperatures and cooling rates for different thermocouple positions are close to experimental findings.

Findings

The inclusion of filler metal during simulation of welding rightly replicates the real welding situation and improves outcomes of the analysis.

Originality/value

The present study is an original contribution to the field of welding technology.

Article
Publication date: 2 October 2017

Pavan Kumar Potdar, Srikanta Routroy and Astajyoti Behera

The purpose of this paper is to identify and analyze the agile manufacturing barriers (AMBs) for establishing a cause and effect relationship among them.

Abstract

Purpose

The purpose of this paper is to identify and analyze the agile manufacturing barriers (AMBs) for establishing a cause and effect relationship among them.

Design/methodology/approach

A methodology is proposed using fuzzy decision-making trial and evaluation laboratory (DEMATEL) to capture multiple experts’ qualitative judgments for mitigating the impact of the AMBs. In order to validate the proposed methodology, it is applied to an Indian automobile manufacturing company.

Findings

Out of 36 AMBs identified through literature review, 20 AMBs are found to be relevant to the case company. Five AMBs (i.e. lack of resource reconfiguration, inefficient conflicting management styles, imperfect market knowledge, inadequate information handling and improper strategic plan) were identified as significant cause group where the case company has to put efforts and resources. Also the impact relationship matrix for each AMB has been developed to visualize its interactions (i.e. influencing and influenced) among other AMBs.

Research limitations/implications

The results obtained are specific to the Indian automobile manufacturing company and it cannot be generalized for every manufacturing company or any other sector. However, the proposed approach can be a basis and provide a platform to understand and analyze the interactions between AMBs.

Practical implications

The proposed methodology will show the appropriate areas for allocating efforts and resources to mitigate the impact of AMBs for successful implementation of agile manufacturing.

Originality/value

According to the authors’ knowledge, no work is reported in the literature that proposes a framework using fuzzy DEMATEL for the analysis of AMBs in Indian automobile manufacturing company.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 15 May 2017

Pavan Kumar Potdar and Srikanta Routroy

The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.

Abstract

Purpose

The purpose of this paper is to develop a set of key performance indicators (KPIs) for agile manufacturing (AM) and to propose a methodology for its performance evaluation.

Design/methodology/approach

The proposed methodology was developed using fuzzy analytic hierarchy process (FAHP) and performance value analysis (PVA) to evaluate and analyze the AM performance. The FAHP is applied to determine the importance of KPIs, and PVA is used to evaluate AM performance.

Findings

The proposed methodology is applied to an Indian auto component manufacturer, and it is observed that there is an improvement of performance along the timeline.

Research limitations/implications

The proposed approach is generic in nature and can be applied to different agile business environments for performance evaluation.

Practical implications

This study provides insights into the AM performance evaluation. The managers can establish the impact of each significant area (SA) on AM and each KPI on its corresponding SA by capturing their manufacturing environments.

Originality/value

Although many issues related to AM have been widely researched, only a few studies have been carried out to quantify, analyze and evaluate the AM performance in the Indian manufacturing environment. The proposed model has the ability to capture the performance of AM along the KPIs to draw fruitful conclusions.

Details

Measuring Business Excellence, vol. 21 no. 2
Type: Research Article
ISSN: 1368-3047

Keywords

Article
Publication date: 13 March 2017

Devendra Kumar, Manish Kumar Chatli, Raghvendar Singh, Nitin Mehta and Pavan Kumar

The purpose of the present study was to investigate the effect of camel milk protein hydrolysates (CMPHs) on physico-chemical, sensory, colour profile and textural quality…

Abstract

Purpose

The purpose of the present study was to investigate the effect of camel milk protein hydrolysates (CMPHs) on physico-chemical, sensory, colour profile and textural quality attributes of chevon patties.

Design/methodology/approach

Camel milk proteins were hydrolyzed with three different proteolytic enzymes, viz., alcalase (CMPH-A), α-chymotrypsin (CMPH-C) and papain (CMPH-P), and dried to powder form before further utilization. Four treatments were prepared with incorporation of CMPH, viz., CMPH 0 per cent (C), CMPH-A 0.09 per cent (T1), CMPH-C 0.06 per cent (T2) and CMPH-P 0.09 per cent (T3), in the product formulation. The developed goat meat patties were evaluated for physico-chemical (pH; emulsion stability, ES; cooking yield, CY; water activity, aw), instrumental colour and texture profile and sensory attributes.

Findings

The pH, moisture, fat and ES values of goat meat emulsions were comparable amongst treatments as well as with the control; however, treated emulsions had higher ES and moisture content. The pH and moisture per cent of cooked chevon patties varied significantly, whereas other physico-chemical (CY, aw, per cent protein, per cent fat, per cent ash and per cent dietary fibre) as well as dimensional parameters (per cent gain in height and decrease in diameter) were comparable amongst treatments and the control. Hardness, springiness, stringiness, cohesiveness, gumminess and resilience of chevon patties decreased significantly (p < 0.05) with the incorporation of CMPH than that of the control; however, the values were comparable among all the treated products. Protein hydrolysate in chevon patties resulted in significant increase in redness (a*) values, whereas all other parameters (L*, b* and hue) decreased significantly as compared to that of the control. The colour and appearance, texture, juiciness overall acceptability scores were comparable in all the treated products and were significantly (p < 0.05) higher than the control. The flavour scores of C, T1 and T3 were comparable but significantly lower than that of T2. The overall acceptability scores of T1 and T2 were also comparable and significantly higher than C and T3; however, the highest score was recorded for T2.

Practical implications

Results concluded that chevon patties with acceptable sensory attributes and improved CY and textural attributes can be successfully developed with the incorporation of CMPH.

Originality/value

The protein hydrolysates of different food proteins could be explored in a same pattern to find out their implication in food matrices.

Details

Nutrition & Food Science, vol. 47 no. 2
Type: Research Article
ISSN: 0034-6659

Keywords

Article
Publication date: 2 October 2017

Pavan Kumar Potdar, Srikanta Routroy and Astajyoti Behera

Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness…

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Abstract

Purpose

Agile manufacturing (AM) has evolved as a revolutionary way of manufacturing the products while managing the uncertainties, product introduction time, responsiveness, innovation, superior quality, etc. along the supply chain to satisfy the ever increasing customer demand and to maximize the profit. The purpose of this paper is to critically analyze the literature related to various dimensions of AM and to report the findings.

Design/methodology/approach

This paper presents the reviews of 300 scholarly articles from 1993 to 2016 by various researchers and practitioners on AM collected from different sources, i.e. Google Scholar and ResearchGate. The information related to AM is also captured during industrial visits to different Indian manufacturing plants.

Findings

AM definitions are reported along divergent scopes and objectives in the literature. The researchers have given importance on performance measurement and process analysis through empirical and descriptive analysis whereas its implementation issues are neglected. It is also observed that the effort made on AM is significant for manufacturing industries which is overlooked in service industries.

Practical implications

This literature review has identified many research gaps in AM which were not paid attention before. Researchers can address these research gaps for strengthening the AM implementation.

Originality/value

In total, 300 research papers are reviewed and analyzed to capture the various aspects of AM and its related issues but not restricted to research methodologies, author profiles, types of industries, tools/techniques/methodology used, etc.

Details

Benchmarking: An International Journal, vol. 24 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 5 March 2018

Shilpi Saha and Saraf Pavan Kumar

The purpose of this paper is to investigate the moderating role of organizational culture in affective commitment and job satisfaction relationship.

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Abstract

Purpose

The purpose of this paper is to investigate the moderating role of organizational culture in affective commitment and job satisfaction relationship.

Design/methodology/approach

Responses were collected from 712 employees working in nine different Indian central public sector enterprises /state-owned enterprises (SOEs) by using a questionnaire-based survey. Theoretical analysis is based on social exchange theory and managerial grid theory. Data were analyzed by using partial least squares structural equation modeling.

Findings

The establishment of organizational culture as a moderator in Indian organizations is unique. This study has utilized data from employees working in different departments of organizations to provide unbiased responses. The results demonstrate that impact of affective commitment on employees’ job satisfaction is moderated by supportive and innovative cultures. Additionally, this research also proves that bureaucratic culture does not play a crucial role in moderating the relationship between organizational commitment and employees’ job satisfaction.

Research limitations/implications

Results are relevant to top-level and middle-level management in which people are involved in the governance of the organization, both directly and indirectly. There should be fixed working hours and optimum time management. Due to growing pressure, few employees who have personal obligations toward their families, such as nursing mothers and stressed individuals, should be provided with flexible working hours. In this way, culture can become supportive to cater to different needs of employees.

Originality/value

Till date, organizational culture as moderator has received very less attention in India. The establishment of organizational culture as a moderator in Indian SOEs is unique. The results add to the growing literature of commitment from non-western context as this study is based on Indian samples. This study has utilized data from employees working in different departments of organizations to provide unbiased responses.

Details

International Journal of Public Sector Management, vol. 31 no. 2
Type: Research Article
ISSN: 0951-3558

Keywords

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