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Open Access
Article
Publication date: 28 November 2022

Ruchi Kejriwal, Monika Garg and Gaurav Sarin

Stock market has always been lucrative for various investors. But, because of its speculative nature, it is difficult to predict the price movement. Investors have been using both…

Abstract

Purpose

Stock market has always been lucrative for various investors. But, because of its speculative nature, it is difficult to predict the price movement. Investors have been using both fundamental and technical analysis to predict the prices. Fundamental analysis helps to study structured data of the company. Technical analysis helps to study price trends, and with the increasing and easy availability of unstructured data have made it important to study the market sentiment. Market sentiment has a major impact on the prices in short run. Hence, the purpose is to understand the market sentiment timely and effectively.

Design/methodology/approach

The research includes text mining and then creating various models for classification. The accuracy of these models is checked using confusion matrix.

Findings

Out of the six machine learning techniques used to create the classification model, kernel support vector machine gave the highest accuracy of 68%. This model can be now used to analyse the tweets, news and various other unstructured data to predict the price movement.

Originality/value

This study will help investors classify a news or a tweet into “positive”, “negative” or “neutral” quickly and determine the stock price trends.

Details

Vilakshan - XIMB Journal of Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0973-1954

Keywords

Article
Publication date: 1 August 2019

Shweta Bajaj, Ruchi Garg, Monika Sethi and Sujit Dey

The purpose of this paper is to classify the total quality management (TQM) practices and position them based on their importance in the implementation of TQM in steel industries…

Abstract

Purpose

The purpose of this paper is to classify the total quality management (TQM) practices and position them based on their importance in the implementation of TQM in steel industries for obtaining improved business performance and customer satisfaction.

Design/methodology/approach

The study undergoes a deep literature review to recognise the TQM practices necessary for the implementation of TQM in the steel industry. The identified 17 practices were grouped under three activities such as “breakthrough activities”, “improvement activities” and “routine operational and maintenance activities” with experts’ suggestion. The positioning of 17 TQM practices and 3 activities of TQM was done using an analytical hierarchy process (AHP) technique as per their relevance in TQM implementation.

Findings

The findings of the research show that though all the 17 practices and 3 activities of TQM play a vital role in the successful implementation of TQM in steel industries, breakthrough activities have gained more weightage as compared to the other two activities. Top management commitment, quality system and continuous improvement are relatively more important than the other practices.

Research limitations/implications

The research has limitation analogous to the AHP technique. The technique considers all the sub-sets of each nod to be independent from each other, whereas in real world this does not stand true.

Practical implications

The study positions the TQM practices and activities on the basis of their relevance in TQM implementation in the steel industry, thus helping the managers in understanding which practice has to give how much importance for TQM implementation in steel industries. By following the practices according to the weights, the managers can achieve the results desired from TQM implementation.

Originality/value

The study gives the implementation priorities of TQM practices in the steel industry. To the best knowledge of researcher, it is the first study in the steel sector for TQM implementation. The lacuna was reported by the literature, and the researcher has made an attempt to fill that gap.

Details

International Journal of Quality & Reliability Management, vol. 36 no. 9
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 8 January 2018

Shweta Bajaj, Ruchi Garg and Monika Sethi

Due to its impact on business performance total quality management (TQM) has gained a lot of importance by businessmen, managers, practitioners, and research scholars over the…

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Abstract

Purpose

Due to its impact on business performance total quality management (TQM) has gained a lot of importance by businessmen, managers, practitioners, and research scholars over the last 20 years. Therefore, the purpose of this paper is to critically assess the literature on TQM and find out the areas where future research is required.

Design/methodology/approach

To achieve this purpose the articles published in the last 20 years were studied in a systematic way and a snapshot of the same was prepared in the tabular format with points such as year and journal of publication, application and country, statistical method used, and findings of the study such as practices and impact of TQM. After identifying the practices and impact of TQM a quality tool “Pareto Analysis” was applied on them for development of the model.

Findings

The findings provide the practices of TQM and its impact on the performance of a business. The gaps from the literature have been identified and areas for future research have been suggested. On the basis of the findings a generalized framework of TQM has been suggested which can be applicable irrespective of the sector.

Practical implications

The research will help academicians and future researchers to have a clear understanding of TQM in different rosters.

Originality/value

Ample literature is available on TQM but in the best knowledge of authors no study has taken place to integrate the reviews and findings of 102 research papers of the last two decades.

Details

International Journal of Productivity and Performance Management, vol. 67 no. 1
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 5 August 2022

Monika Saini, Deepak Sinwar, Alapati Manas Swarith and Ashish Kumar

Reliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of…

Abstract

Purpose

Reliability and maintainability estimation of any system depends on the identification of the best-fitted probability distribution of failure and repair rates. The parameters of the best-fitted probability distribution are also contributing significantly to reliability estimation. In this work, a case study of load haul dump (LHD) machines is illustrated that consider the optimization of failure and repair rate parameters using two well established metaheuristic approaches, namely, genetic algorithm (GA) and particle swarm optimization (PSO). This paper aims to analyze the aforementioned points.

Design/methodology/approach

The data on time between failures (TBF) and time to repairs (TTR) are collected for a LHD machine. The descriptive statistical analysis of TBF & TTR data is performed, trend and serial correlation tested and using Anderson–Darling (AD) value best-fitted distributions are identified for repair and failure times of various subsystems. The traditional methods of estimation like maximum likelihood estimation, method of moments, least-square estimation method help only in finding the local solution. Here, for finding the global solution two well-known metaheuristic approaches are applied.

Findings

The reliability of the LHD machine after 60 days on the real data set is 28.55%, using GA on 250 generations is 17.64%, and using PSO on 100 generations and 100 iterations is 30.25%. The PSO technique gives the global best value of reliability.

Practical implications

The present work will be very convenient for reliability engineers, researchers and maintenance managers to understand the failure and repair pattern of LHD machines. The same methodology can be applied in other process industries also.

Originality/value

In this case study, initially likelihood function of the best-fitted distribution is optimized by GA and PSO. Reliability and maintainability of LHD machines evaluated by the traditional approach, GA and PSO are compared. These results will be very helpful for maintenance engineers to plan new maintenance strategies for better functioning of LHD machines.

Details

Journal of Quality in Maintenance Engineering, vol. 29 no. 2
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 9 June 2022

Monika Soni

Based on self-determination theory, the paper investigates the link between environmentally specific transformational leadership (ETFL) and subjective well-being (SWB) of…

Abstract

Purpose

Based on self-determination theory, the paper investigates the link between environmentally specific transformational leadership (ETFL) and subjective well-being (SWB) of employees working in an energy intensive industry. The paper also aims to examine pro-environmental behavior (PEB) as a mediator mechanism between ETFL and SWB relationship.

Design/methodology/approach

An empirical research design was used for the analysis. In total, 293 respondents working in different energy intensive Indian companies filled the questionnaire for the study. The data were analyzed using structural equation modeling SMART-PLS 3 software which is a graphical user interface for variance-based structural equation modeling using the partial least squares path modeling method. Two stages of analysis were conducted: the measurement model and the structural model.

Findings

The results indicate that (1) ETFL has a significant positive impact on PEB. (2) PEB is positively correlated to SWB. (3) ETFL has a significant impact on SWB. (4) The underlying mechanism process of ETFL and SWB relationship is explained by mediation of PEB.

Practical implications

Overall, the study insinuates that PEB act as underlying mechanism in environmental leadership and SWB of employees. The study further suggests that the management should promote green leaders for enhancing the overall SWB of the managements' employees especially in energy intensive sector. Doing so helps the managers to enhance managers' environmental conscious behavior for inducing SWB of employees.

Originality/value

The study contributes to novel findings in existing literature particularly to determine ETFL and PEB as predictors of SWB especially in energy intensive sector. The study also leads the ways for organizations by promoting green conscious leaders, which stimulates PEB among employees that ultimately contributes to SWB of employees. Furthermore, the research methodology can be used in other studies for variation of contextual variables such as size of the industry, developed or underdeveloped country and manufacturing or service industry.

Details

Benchmarking: An International Journal, vol. 30 no. 5
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 9 October 2023

Sheela Bhargava, Renu Sharma and Monika Kulshreshtha

The purpose of this study is to analyze the potential mediating role of employee engagement in the relationship between gratitude and subjective well-being (SWB) of employees…

Abstract

Purpose

The purpose of this study is to analyze the potential mediating role of employee engagement in the relationship between gratitude and subjective well-being (SWB) of employees working in the information technology (IT) sector in India. The study investigated a moderated mediation model for gratitude and SWB, treating employee engagement as a mediator and gender as a moderator.

Design/methodology/approach

Data was collected from 162 professionals working IT sector in India. Process Macro, AMOS and IBM SPSS 22 were used to analyze the mediation and moderation effects.

Findings

The results depicted that employee engagement fully mediates the positive association between gratitude practice and the SWB of employees as well as the demographic variable; gender also demonstrated a full moderation effect between them.

Originality/value

This research may be one of the few studies from the Indian context that explore whether gratitude practiced by employees working in the IT sector can play a significant role in impacting their SWB. Past research models had not introduced employee engagement’s indirect impact on the examined variables.

Details

Management Research Review, vol. 47 no. 4
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 3 December 2020

Monika Sheoran and Divesh Kumar

The earth is under massive stress due to current level of consumption which has crossed the sustaining capacity of our planet. Thus, the need of the hour is to promote sustainable…

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Abstract

Purpose

The earth is under massive stress due to current level of consumption which has crossed the sustaining capacity of our planet. Thus, the need of the hour is to promote sustainable production and consumption. The purpose of this study is to identify the basic barriers of sustainable consumer behaviour which are hindering the adoption of sustainable consumption.

Design/methodology/approach

This article is divided into two parts. The first part consists of a literature review based on 128 articles (1995 to 2020), which are spread over a period of 25 years. Based on the literature review, nine barriers of sustainable consumer behaviour were identified and put into three categories. In the second part, fuzzy analytical hierarchy process has been used to know about the relative weight of each barrier so that benchmarking/prioritising of basic barriers of sustainable consumer behaviour can be done.

Findings

This article identifies critical barriers affecting the acceptance of sustainable electronic products. High price, a perception of no environmental impact, no benefit in personal image, lesser use by family and friends, lack of awareness about the products etc. emerged as the potential barriers which need prime attention. The relative weight of each of these barriers has also been arrived at in this article which is expected to be beneficial for policymakers to focus upon important barriers. Impact of many of these barriers can be reduced through innovative approaches and solutions.

Research limitations/implications

This article will be helpful in future research in the field of sustainable consumer behaviour. Through the understanding of the barriers of sustainable consumer behaviour, companies, governments and industries can take suitable initiatives by modifying the policies and practices to reduce the impact of these barriers so that consumer behaviour can be made more sustainable.

Originality/value

The current article tries to identify the critical barriers to adoption of sustainable electronic products by the consumers. An extensive literature review, expert suggestions and consumer survey have been adopted to identify nine barriers. Although, multiple researches have been done in the field of sustainable consumer behaviour and adoption of sustainable electronic products, there is no research article which solely focuses on implementing Fuzzy analytical hierarchical process (AHP) approach to rank the barriers faced by consumers for adoption of sustainable electronic products. It has been concluded that high price of sustainable electronic products is the most critical barrier in adoption of sustainable consumer behaviour. Moreover, the relative ranking obtained with the help of Fuzzy AHP can be used by policymakers and organisations to promote and implement sustainability in consumer behaviour.

Details

Social Responsibility Journal, vol. 18 no. 1
Type: Research Article
ISSN: 1747-1117

Keywords

Article
Publication date: 1 July 2014

Patryk Jakubczak, Jaroslaw Bieniaś, Krzysztof Majerski, Monika Ostapiuk and Barbara Surowska

The purpose of this study was to carry out the analysis of impact resistance for aluminum hybrid laminates and polymer matrix composites reinforced with glass and carbon fibers…

Abstract

Purpose

The purpose of this study was to carry out the analysis of impact resistance for aluminum hybrid laminates and polymer matrix composites reinforced with glass and carbon fibers. Damage modes and damages process under varied impact energies are also presented and discussed.

Design/methodology/approach

The subject of examination were fiber metal laminates – FMLs (Al/CFRP and Al/GFRP). The samples were subjected to low-velocity impact by using a drop-weight impact tester. The specimens after impact were examined using non-destructive and destructive inspection techniques.

Findings

The hybrid laminates are characterized by higher resistance to impact in comparison to the conventional laminates. The delaminations between composite layers as well as the delaminations on metal/composite interface and lateral cracks are the prevailing type of destruction mechanisms. No significant relationships between metal volume friction coefficient vs response to the impact were recorded for the hybrid laminates under tests.

Practical implications

The understanding of impact behavior of FMLs is particularly important for selecting these materials and their designing, in damage tolerance philosophy aspect in aerospace industry as well as in searching the methods of predicting of FML hybrid materials resistance to impact. The test results might be useful for the validation of simulations using numerical methods.

Originality/value

The paper presents the impact resistance of new hybrid laminates for aerospace applications. The identification of damage character and failure mechanisms as well as the relationships between damage and impact responses of aluminum/carbon and aluminum/glass hybrid laminates were estimated.

Details

Aircraft Engineering and Aerospace Technology: An International Journal, vol. 86 no. 4
Type: Research Article
ISSN: 0002-2667

Keywords

Article
Publication date: 9 May 2016

Shipra Sharma and Shalini Garg

This paper aims to apply citation analysis to identify the emerging trends in the area of Web-based training which have been highlighted through Table III.

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Abstract

Purpose

This paper aims to apply citation analysis to identify the emerging trends in the area of Web-based training which have been highlighted through Table III.

Design/methodology/approach

The analysis is based on citation index analysis from journal citation report 2015 published by Thomson Reuters and science citation index database report (1990 to 2015).To undergo the analysis, we have selected journals in the area of Web-based training/e-learning from the database of 167,214 journals, and some of the information has been collected from various blogs to know the trends taking place in this area.

Findings

This review analysis primarily focuses on Web-based training and its research trend between 2010 and 2015. The results indicate that most of the research that has happened in this area mainly concentrate on four things: perception of employees towards Web-based trainings, choosing a mode of training, return on investment (ROI) on training transfer and performance post training.

Originality/value

This study may benefit other research scholars from management and humanities field seeking understanding about research trends and emerging trends in the area of Web-based training.

Details

On the Horizon, vol. 24 no. 2
Type: Research Article
ISSN: 1074-8121

Keywords

Content available
Article
Publication date: 15 November 2011

Ian Phau

735

Abstract

Details

Asia Pacific Journal of Marketing and Logistics, vol. 23 no. 5
Type: Research Article
ISSN: 1355-5855

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