Rajat Agrawal - Academia.edu (original) (raw)

Papers by Rajat Agrawal

Proceedings of the International Conference on Industrial Engineering and Operations Management

This paper aims to determine the most essential competitive priorities in terms of relative impor... more This paper aims to determine the most essential competitive priorities in terms of relative importance that enables competitive steel manufacturing in India and how these contribute to boost firm performance. Empirical data from 248 managers of Indian steel industries were gathered using a survey method. It also applies Importance-Performance Analysis (IPMA) using Partial Least Square Structural Equation Modeling with SmartPLS version 4.0 to determine the relationship between importance and performance of competitive priorities and the attributes of firm performance. The results indicate that flexibility must be preserved and emphasized more since it requires improvement, while quality contributes to performance. Similarly, the financial performance shows major importance, while learning and growth adds to the performance of firm performance of steel industries. This research contributes to business strategy in steel organizations by comparing the relative importance of five competitive antecedents to their efficiency in enhancing firm performance. The findings of study can serve as a road map for steel company operations managers, focusing on a certain facet of manufacturing competitiveness based on their strategic orientation. This research adds to understanding by highlighting competitive priorities of the steel industries and their impact in increasing company success.

Quality Management Journal

Global knowledge, memory and communication, Feb 28, 2023

Lecture notes in mechanical engineering, 2023

Global Knowledge, Memory and Communication

Purpose This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based fr... more Purpose This study aims to propose iStage, i.e. an intelligent hybrid deep learning (DL)-based framework to determine the stage of the disaster to make the right decisions at the right time. Design/methodology/approach iStage acquires data from the Twitter platform and identifies the social media message as pre, during, post-disaster or irrelevant. To demonstrate the effectiveness of iStage, it is applied on cyclonic and COVID-19 disasters. The considered disaster data sets are cyclone Fani, cyclone Titli, cyclone Amphan, cyclone Nisarga and COVID-19. Findings The experimental results demonstrate that the iStage outperforms Long Short-Term Memory Network and Convolutional Neural Network models. The proposed approach returns the best possible solution among existing research studies considering different evaluation metrics – accuracy, precision, recall, f-score, the area under receiver operating characteristic curve and the area under precision-recall curve. Originality/value iStage ...

Global Knowledge, Memory and Communication

Purpose This paper aims to propose DisDSS: a Web-based smart disaster management (DM) system for ... more Purpose This paper aims to propose DisDSS: a Web-based smart disaster management (DM) system for decision-making that will assist disaster professionals in determining the nature of disaster-related social media (SM) messages. The research classifies the tweets into need-based, availability-based, situational-based, general and irrelevant categories and visualizes them on a web interface, location-wise. Design/methodology/approach It is worth mentioning that a fusion-based deep learning (DL) model is introduced to objectively determine the nature of an SM message. The proposed model uses the convolution neural network and bidirectional long short-term memory network layers. Findings The developed system leads to a better performance in accuracy, precision, recall, F-score, area under receiver operating characteristic curve and area under precision-recall curve, compared to other state-of-the-art methods in the literature. The contribution of this paper is three fold. First, it prese...

Global Knowledge, Memory and Communication

Purpose This study aims to investigate barriers and enablers of social media usage by zooming on ... more Purpose This study aims to investigate barriers and enablers of social media usage by zooming on one specific type of domain: disaster management. First, by systematically reviewing previous studies using a typology to social media usage, this study identifies the challenges often faced. Second, the results are visualized by qualitatively analyzing the focus group discussion data. Design/methodology/approach This paper opted for an inductive thematic approach of grounded theory, including focus group discussion with ten participants from diverse backgrounds working in the disaster domain. The data is transcribed verbatim and coded using Atlas.ti software. Findings The findings suggest that the vogue of social media significantly ascends its usage in disaster management. Regulatory, software, physical, authenticity, cultural and demographic rose as challenges for social media usage in disaster management. Findings further indicate enablers as the rise in mobile penetration, democrati...

According to UNDRR2021, there are 389 reported disasters in 2020. Disasters clai... more According to UNDRR2021, there are 389 reported disasters in 2020. Disasters claim the lives of 15,080 people, 98.4 million people are affected globally, and US171.3 billion dollars are spent on economic damage. International agreements such as the Sendai framework for disaster risk reduction encourage the use of social media to strengthen disaster risk communication. With the advent of new technologies, social media has emerged out to be an important source of information in disaster management, and there is an increase in social media activity whilst disasters. Social media is the fourth most used platform for accessing emergency information. People seek to contact family, friends and search for food, water, transportation, and shelter. During cataclysmic events, the critical information posted on social media is immersed in irrelevant information. To assist and streamline emergency situations, staunch methodologies are required for extracting relevant information. The research study explores new-fangled deep learning methods for automatically identifying the relevancy of disaster-related social media messages. The contributions of this study are three-fold. Firstly, we present a hybrid deep learning-based framework to ameliorate the classification of disaster-related social media messages. The data is gathered from the Twitter platform, using the Search Application Programming Interface. The messages that contain information regarding the need, availability of vital resources like food, water, electricity, etc., and provide situational information are categorized into relevant messages. The rest of the messages are categorized into irrelevant messages. To demonstrate the applicability and effectiveness of the proposed approach, it is applied to the thunderstorm and cyclone Fani dataset. Both the disasters happened in India in 2019. Secondly, the performance of the proposed approach is compared with baseline methods, i.e., convolutional neural network, long short-term memory network, bidirectional long short-term memory network. The results of the proposed approach outperform the baseline methods. The performance of the proposed approach is evaluated using multiple metrics. The considered evaluation metrics are accuracy, precision, recall, f-score, area under receiver operating curve, area under precision-recall curve. The accurate and inaccurate classifications are shown on both the datasets. Thirdly, to incorporate our evaluated models into a working application, we extend an existing application DisDSS, which has been granted copyright invention award by Government of India. We call the newly extended system DisDSS 2.0, which integrates our framework to address the disaster relevancy identification issue. The output from the research study is helpful for disaster managers to make effective decisions on time. It bridges the gap between the decision-makers and citizens during disasters through the lens of deep learning.

Proceedings of the International Conference on Research in Management & Technovation, 2022

We present a framework to ameliorate the classification of disaster-related social media messages... more We present a framework to ameliorate the classification of disaster-related social media messages. In the present work, we have incorporated the Convolutional Neural Network, and Long Short-Term Memory Network. To demonstrate the applicability and effectiveness of the proposed approach, it is applied to the thunderstorm and cyclone Fani dataset. The results indicate that CNN is better than the LSTM model with an accuracy score of 0.9999 (99.99%) and loss score of 0.0410. The output from the research study is helpful for disaster managers to make effective decisions on time.

Environment for Innovation eJournal, 2020

Business Incubation is one of the latest concept in promoting entrepreneurship in global economy.... more Business Incubation is one of the latest concept in promoting entrepreneurship in global economy. Concept which originated in 1958 at Batavia, United States is now hot buzz around the world. The present study provides a conceptual framework developed through identified strategic performance indicators (SPIs) used or suggested by authors for mapping performance of Business Incubators (BIs). The conceptual framework embarks SPIs both for BI management and incubatees which together constitute major stake holding in BIs. The SPIs have been identified from extensive literature review of correlated research articles from 1990 to 2017. The research is suggestive of that least number of authors have used IPRs as SPI in their PMS, frequently used SPI in literature is survival rate of incubatee firms. Intangible factors have not been given due weightage by authors in their PMS The study is also suggestive of that most of the PMS adopted in BIs are not holistic in approach as they ignore asses...

Management Research Review, 2021

Purpose The paper aims to review existing performance indicators in technology business incubator... more Purpose The paper aims to review existing performance indicators in technology business incubators (TBIs) and propose some new indicators with a focus on incubation activities in higher educational institutes (HEIs) of India. Design/methodology/approach Performance indicators of various types of incubators were identified from research papers followed by interview, consultation and suggestion from experts of the subject. Nature of interrelationship between the identified indicators has been established with the help of Interpretive Structural Modelling methodology and Matrice d’impacts croisés multiplication appliquée á un classment analysis. Findings Number of ideas came for screening and number of ideas converted to start-ups, survival rate of incubatees is the indicators which have the highest driving power followed by time taken in screening an idea and number of failed or rejected ideas returned back into incubation. Few indicators (driving indicators) are affecting performance...

Asia-Pacific Journal of Management Research and Innovation, Mar 1, 2013

It is worth mentioning that a great deal of financial liberalization, privatization and internati... more It is worth mentioning that a great deal of financial liberalization, privatization and internationalization policies in emerging economies have significantly increased the corporate restructuring activities like mergers, acquisitions, share repurchases, and stock splits, among others. Indeed, the activity that is investigated in this paper is 'share repurchases' and its effect on stock returns and price-to-earnings (P/E) ratio. More deeply, this paper will answer the research question-does a share repurchase offer abnormal returns around the announcement? Thus, it is performed in one of the Asian emerging markets-India. To do so, we use event-study method to examine abnormal returns and P/E signaling around the announcement of 64 share repurchases, announced during 2008-2009. It is found that stock performance does not adequate, and notices lower as well as negative earnings during post-buyback period. Briefly, we conclude that share repurchases assure short-term returns, and observe lower P/E compared to pre-buyback period. In addition, we show some interesting results that derived from industrial and services sectors. The outcome of this paper would help financial analysts, financial advisors, corporate enterprises and regulatory bodies in designing policies on earnings distribution, managerial incentives, takeovers, and so forth of regulatory aspects.

Sustainability

The lean manufacturing strategy is used to eliminate waste, improve quality, reduce time and cost... more The lean manufacturing strategy is used to eliminate waste, improve quality, reduce time and costs, and enhance operational efficiency. This paper explores the method of systematic cycle time reduction for sustainability (environmental, social, and economic) through the lens of the theory of constraints. This paper uses a case study method in support of a developed method of systematic cycle time reduction. The findings suggest that reduction in cycle time results in improved sustainability performance. Results also demonstrate that sustainability performance can be improved with low investment and without compromising working conditions of any manufacturing operation.

Emerging Markets have recently been attracting increasing attention in investors’ minds as the po... more Emerging Markets have recently been attracting increasing attention in investors’ minds as the post financial meltdown of 2008 and the series of Euro crises have been casting a deep shadow of gloom and uncertainty on the economic performance of the developed economies. Specifically, two important issues are associated with the internationalization of Asian market enterprises (AMEs), namely free-flow of investment at ease of exchange norms and the recent global financial crisis. In addition, availability of free-cash-flows and limited expansion of local markets are the other major factors that push many AMEs to choose internationalization as a growth strategy. Thus, all the papers are original contributions in this special issue and it is our view that they will lead to better understanding of the implications of managing global strategy from a cross section of Asian companies and a richer understanding of the theoretical issues in global strategic management.

This paper discuss the operational efficiency of Perishable Product Supply Chain (PPSC) in contex... more This paper discuss the operational efficiency of Perishable Product Supply Chain (PPSC) in context of Petri Net (PN) modeling technique. The operational efficiency is classified into: inventory management, logistics, information sharing and supply chain risk among different stages of supply chain with coordination and monitoring through traceability and PPSC risk management. This classification of operational efficiency will allow the industrial practitioners and academicians to decide on the suitable petri net technique for the problem identified. This paper discuss the research directions of application of Petri Net in PPSC (operational efficiency). In addition, paper provides future directions for operational efficiency in PPSC and are as follows: 1) modelling PPSC with uncertainty, 2) reducing complexity in PPSC, 3) integration of PN modelling with emerging technology, 4) PN involvement in information flow and traceability and 5) application of PN modelling in decision making.

international journal of research in computer application & management, 2012

International Energy Journal, 2010

Energy is one of the important inputs for economic progress of a country. Power generation is a k... more Energy is one of the important inputs for economic progress of a country. Power generation is a key parameter in the development of recent economies and the augmentation of productivity. The main objective of the present paper is to review; compare the performance of SEB’s and effect on energy sector in India. The paper discusses the more important of the problem areas holding up significant economic gains that could be realized through cost reductions, operation of market forces, needed levels of investments and targeting of resources to promote equitable growth. The slow rate of progress is a matter for concern. The state governments were unenthusiastic and conflicting to the unbundling of electricity boards, but according to the power research and recent studies, restructuring has improved the performance of these boards. The present research paper concludes with few case studies of unbundling of SEBs in India.

Progress in Disaster Science, 2020

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Asian Journal of Sustainability and Social Responsibility, 2019

The indomitable spirit of growth of mankind has led to rapid urbanisation and development, steere... more The indomitable spirit of growth of mankind has led to rapid urbanisation and development, steered by industries and corporates. Whether development begets disaster or disaster begets development, is still a matter of ongoing discussions and debates, but, each time the society takes a catastrophic hit, humanity begs to question the role of corporate in disaster mitigation, management and rehabilitation. The Companies Act, 2013 of India has steered India into becoming one of the few countries with a mandatory CSR regime. This study finds its genesis in the logical question that follows this premise; since expenditure through CSR is already mandatory in India and is directed towards sustainable development, why not channel such investments in such a manner that disaster resilience becomes inclusive of the final objective of sustainable development? The purpose of this study is to identify those crucial elements of our society and their inter-dependencies which when ideally tweaked and nurtured will lead to a social setup where CSR investments would lead to sustainable development inclusive of disaster resilience. Extensive literature followed by questionnaire survey and interviews were used as a tool to judge and evaluate societal enablers and then they were subjected to interpretive structural modelling which brought out the contextual relationships among the enablers. The resultant model is a hierarchical structure of enablers, revealing their interdependencies and relations with each-other. This can help enterprises, corporates, policymakers to understand how to leverage the mandatory CSR regime of India in their favour as well as to create disaster resilience.

Proceedings of the International Conference on Industrial Engineering and Operations Management

Quality Management Journal

Global knowledge, memory and communication, Feb 28, 2023

Lecture notes in mechanical engineering, 2023

Global Knowledge, Memory and Communication

Proceedings of the International Conference on Research in Management & Technovation, 2022

Environment for Innovation eJournal, 2020

Management Research Review, 2021

Asia-Pacific Journal of Management Research and Innovation, Mar 1, 2013

Sustainability

international journal of research in computer application & management, 2012

International Energy Journal, 2010

Progress in Disaster Science, 2020

Asian Journal of Sustainability and Social Responsibility, 2019