Pub Date : 2022-08-24DOI: 10.1080/02522667.2022.2103294
Abhishek Das, M. Mohanty
Abstract Mostly accurate medical diagnosis is performed from image data. Some of the complex diseases and their data are available from different gene structures. For detection purposes, the image is the accurate and secured form for analysis. In this work, the gene expressions are converted to 2-D images for further processing. The images are detected using a convolutional neural network. To convert the gene data into image data, encoding mapping through t-Distributed Stochastic Neighbor, Multi-dimensional scaling, and Locally linearly embedding is used. Further, the application of the Convex Hull algorithm forms the fixed boundary. The data set is collected from the Gene expression Omnibus of the NCBI platform. The CNN model provided 96.32% and 92.13% training and testing accuracies that show the effectiveness of data conversion in the field of skin cancer detection.
{"title":"Transformation of 1-D data to 2-D image using stochastic mapping method for secured skin lesion detection","authors":"Abhishek Das, M. Mohanty","doi":"10.1080/02522667.2022.2103294","DOIUrl":"https://doi.org/10.1080/02522667.2022.2103294","url":null,"abstract":"Abstract Mostly accurate medical diagnosis is performed from image data. Some of the complex diseases and their data are available from different gene structures. For detection purposes, the image is the accurate and secured form for analysis. In this work, the gene expressions are converted to 2-D images for further processing. The images are detected using a convolutional neural network. To convert the gene data into image data, encoding mapping through t-Distributed Stochastic Neighbor, Multi-dimensional scaling, and Locally linearly embedding is used. Further, the application of the Convex Hull algorithm forms the fixed boundary. The data set is collected from the Gene expression Omnibus of the NCBI platform. The CNN model provided 96.32% and 92.13% training and testing accuracies that show the effectiveness of data conversion in the field of skin cancer detection.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1915 - 1923"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45190962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.1080/02522667.2022.2094079
N. Duodu, Warish D. Patel
Abstract Electronic Health Records (EHRs) are the health data collected and stored electronically for informative purposes in today’s healthcare to handle healthcare in patients’ hands, thereby reducing physical contact between healthcare seekers and providers. This paper reviews a complete health monitoring and health status reporting system using IoT technology to gather vital health statistics and machine learning to design an intelligent system. The proposed system will adopt IoT technology to collect health information from students in their residence and use a machine learning method to predict students’ health status from the institution’s Electronic Health Records before rendering health counselling services to students. It will also allow students to report health conditions to educational authorities on a complex Wireless Body Area Network to deploy Raspberry Pi 4B, sensors, cameras.
{"title":"Advanced EHR system in homes-in-schools’ automation using internet of things and machine learning","authors":"N. Duodu, Warish D. Patel","doi":"10.1080/02522667.2022.2094079","DOIUrl":"https://doi.org/10.1080/02522667.2022.2094079","url":null,"abstract":"Abstract Electronic Health Records (EHRs) are the health data collected and stored electronically for informative purposes in today’s healthcare to handle healthcare in patients’ hands, thereby reducing physical contact between healthcare seekers and providers. This paper reviews a complete health monitoring and health status reporting system using IoT technology to gather vital health statistics and machine learning to design an intelligent system. The proposed system will adopt IoT technology to collect health information from students in their residence and use a machine learning method to predict students’ health status from the institution’s Electronic Health Records before rendering health counselling services to students. It will also allow students to report health conditions to educational authorities on a complex Wireless Body Area Network to deploy Raspberry Pi 4B, sensors, cameras.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1953 - 1962"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48419363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.1080/02522667.2022.2091094
Debendra Kumar Sahoo, Abhishek Das, M. Mohanty, Satyasis Mishra
Abstract In this work, the authors have applied image inpainting on MRI images of the brain to highlight the tumors present in the image. These highlighted images are used for the training of the ensemble model. Three convolutional neural networks (CNNs) are used as the base classifier and their outputs are fed to a Multilayer Perceptron (MLP) for further training and final classification. Classification is done to check whether the brain is having a tumor or it is healthy using a data set that is available at Kaggle for open access. The proposed method provided 100% and 98.33% training and testing accuracies that show the effectiveness of applying inpainting on the data set images.
{"title":"Brain tumor detection using inpainting and deep ensemble model","authors":"Debendra Kumar Sahoo, Abhishek Das, M. Mohanty, Satyasis Mishra","doi":"10.1080/02522667.2022.2091094","DOIUrl":"https://doi.org/10.1080/02522667.2022.2091094","url":null,"abstract":"Abstract In this work, the authors have applied image inpainting on MRI images of the brain to highlight the tumors present in the image. These highlighted images are used for the training of the ensemble model. Three convolutional neural networks (CNNs) are used as the base classifier and their outputs are fed to a Multilayer Perceptron (MLP) for further training and final classification. Classification is done to check whether the brain is having a tumor or it is healthy using a data set that is available at Kaggle for open access. The proposed method provided 100% and 98.33% training and testing accuracies that show the effectiveness of applying inpainting on the data set images.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1925 - 1933"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45286584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-24DOI: 10.1080/02522667.2022.2103295
Sachin M. Karmuse, Arun L. Kakhandki, Mallikarjun Anandhalli
Abstract This paper discusses the rate of heartbeat monitoring with the help of face tracking, extraction of forehead region and separation of blind source. Separation of blind source is applied for three RGB color channel. Independent Component Analysis (ICA) is a powerful tool for such acquisitions. There are mainly four ICA algorithms and these algorithms have been described in the literature. In this paper contribution of two main common ICA algorithms has been studied. These methods are compared to each other in terms of their ability to obtain independent signal from standard RGB signal of forehead region. These methods are Joint Approximate Diagonalization of Eigen matrices (JADE) and Fixed-point ICA (FastICA). Same RGB data set have been applied to these common ICA algorithms and compared with the results of blood volume pulse (BVP) sensor readings. Both methods provide equally consistent results. However, FastICA has shown better results for heart rate measurement compared to JADE.
{"title":"Cloud based multivariate signal based heart abnormality detection","authors":"Sachin M. Karmuse, Arun L. Kakhandki, Mallikarjun Anandhalli","doi":"10.1080/02522667.2022.2103295","DOIUrl":"https://doi.org/10.1080/02522667.2022.2103295","url":null,"abstract":"Abstract This paper discusses the rate of heartbeat monitoring with the help of face tracking, extraction of forehead region and separation of blind source. Separation of blind source is applied for three RGB color channel. Independent Component Analysis (ICA) is a powerful tool for such acquisitions. There are mainly four ICA algorithms and these algorithms have been described in the literature. In this paper contribution of two main common ICA algorithms has been studied. These methods are compared to each other in terms of their ability to obtain independent signal from standard RGB signal of forehead region. These methods are Joint Approximate Diagonalization of Eigen matrices (JADE) and Fixed-point ICA (FastICA). Same RGB data set have been applied to these common ICA algorithms and compared with the results of blood volume pulse (BVP) sensor readings. Both methods provide equally consistent results. However, FastICA has shown better results for heart rate measurement compared to JADE.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1935 - 1952"},"PeriodicalIF":1.4,"publicationDate":"2022-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44218153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2117330
Syed Rizwan Naqvi, Puja Sareen, Tanuja Sharma
Abstract As of 2020, COVID-19 has impacted nearly all countries and about half of the world’s population. COVID-19 will have driven over half of the world’s population into a strict confinement lockdown by 2020. For the sake of the overall mental health of humanity, organizations have developed various coping strategies for mindfulness, such as e-learning. Genpact was the subject of a case-based inquiry for the study using secondary data. The study’s conclusion reveals that Genpact’s strategy for building organizational resilience in the face of a pandemic. The study adds to the literature in a novel way by performing a qualitative survey of Genpact, providing essential insights to HR policymakers, academics, and top management on how to create professional resilience.
{"title":"E-learning for business resilience: A qualitative study in a mega MNC","authors":"Syed Rizwan Naqvi, Puja Sareen, Tanuja Sharma","doi":"10.1080/02522667.2022.2117330","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117330","url":null,"abstract":"Abstract As of 2020, COVID-19 has impacted nearly all countries and about half of the world’s population. COVID-19 will have driven over half of the world’s population into a strict confinement lockdown by 2020. For the sake of the overall mental health of humanity, organizations have developed various coping strategies for mindfulness, such as e-learning. Genpact was the subject of a case-based inquiry for the study using secondary data. The study’s conclusion reveals that Genpact’s strategy for building organizational resilience in the face of a pandemic. The study adds to the literature in a novel way by performing a qualitative survey of Genpact, providing essential insights to HR policymakers, academics, and top management on how to create professional resilience.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1343 - 1352"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48672869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2117324
A. Kumari, Shuchita Singh, Shilpa Bahl, Ravindra Sharma
Abstract The present paper aims to investigate effects of 16 PF global factors personality (16 PF GFP) traits on individuals’ investment related perceptual biases. Data was collected from 206 subjects in India using likert5 point questionnaire and analysed performing factor analysis and regression test. Result indicated that 16 PF GFP influence positively investors’ perceptual biases. This is the only study that applied 16 PF GFP to understand investors’ perceptual biases.
{"title":"Impact of 16 PF global factors personality traits on perceptual biases of individual investors","authors":"A. Kumari, Shuchita Singh, Shilpa Bahl, Ravindra Sharma","doi":"10.1080/02522667.2022.2117324","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117324","url":null,"abstract":"Abstract The present paper aims to investigate effects of 16 PF global factors personality (16 PF GFP) traits on individuals’ investment related perceptual biases. Data was collected from 206 subjects in India using likert5 point questionnaire and analysed performing factor analysis and regression test. Result indicated that 16 PF GFP influence positively investors’ perceptual biases. This is the only study that applied 16 PF GFP to understand investors’ perceptual biases.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1221 - 1231"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43103961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2117344
Gitu Nijhawan, H. Gujral, Kavita Singh, Shalini Sharma
Abstract Amid Covid crisis and other market trends, the texture of the market is such that even a whiff of adverse news gets distended. In such a situation, an organization can outperform only when employees contribute to its success story. The rapid advancement in the current scenario has resulted in substantial changes in all dimensions and fields of human life. This situation drives businesses to keep up with and develop in response to these changes and innovations. It has become imperative for organisations to stimulate organisational paradigm adjustments, particularly in terms of boosting quality, effectiveness and efficiency in order to improve their performance. This calls for employees’ belief that organisations deeply care about their well-being and value their work. Such a perception is known as Perceived Organisational Support (POS). This paper seeks to understand the concept of optimizing POS to improve the job performance of employees. This research is designed by using a quantitative approach with data from 380 IT employees working in India.
{"title":"Optimizing perceived organisational support to improve job performance of IT employees","authors":"Gitu Nijhawan, H. Gujral, Kavita Singh, Shalini Sharma","doi":"10.1080/02522667.2022.2117344","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117344","url":null,"abstract":"Abstract Amid Covid crisis and other market trends, the texture of the market is such that even a whiff of adverse news gets distended. In such a situation, an organization can outperform only when employees contribute to its success story. The rapid advancement in the current scenario has resulted in substantial changes in all dimensions and fields of human life. This situation drives businesses to keep up with and develop in response to these changes and innovations. It has become imperative for organisations to stimulate organisational paradigm adjustments, particularly in terms of boosting quality, effectiveness and efficiency in order to improve their performance. This calls for employees’ belief that organisations deeply care about their well-being and value their work. Such a perception is known as Perceived Organisational Support (POS). This paper seeks to understand the concept of optimizing POS to improve the job performance of employees. This research is designed by using a quantitative approach with data from 380 IT employees working in India.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1419 - 1429"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45991692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2139929
Prashant Chaudhary, Prabha Kiran, Nilesh Kate, Shailesh B. Pandey
Abstract Micro-Targeting has emerged as preferred marketing and branding strategy in the travel and tourism sector across the world. This strategic marketing approach essentially leverages the deep consumer insights in order to design and develop personalised marketing content and recommendations. The digital technologies like Artificial Intelligence (AI), big data analytics, Machine Learning (ML), Augmented Reality (AR), and Virtual Reality etc. are helping the brands in this sector to predict the taste, preferences, priorities, and overall buying behaviour of their target audience. These valuable insights are subsequently utilised for influencing these prospects through hyper-targeted content and advertising. The overarching objective of this research study is to understand the effectiveness of micro-targeting for creating desired customer experience and subsequently its impact on the brand preference and purchase intention. Novelty of this study is reflected in its focus, which is on understanding the role micro-targeting can play in marketing and branding of offerings in experiential tourism category. It was observed that micro-targeting helps companies/brands to create personalised customer experience across different touch-points during the buying process of the high involvement offerings like experiential travel and tourism services.
{"title":"Experiential tourism – role and application of micro-targeting in enhancing customer experience, engagement and loyalty","authors":"Prashant Chaudhary, Prabha Kiran, Nilesh Kate, Shailesh B. Pandey","doi":"10.1080/02522667.2022.2139929","DOIUrl":"https://doi.org/10.1080/02522667.2022.2139929","url":null,"abstract":"Abstract Micro-Targeting has emerged as preferred marketing and branding strategy in the travel and tourism sector across the world. This strategic marketing approach essentially leverages the deep consumer insights in order to design and develop personalised marketing content and recommendations. The digital technologies like Artificial Intelligence (AI), big data analytics, Machine Learning (ML), Augmented Reality (AR), and Virtual Reality etc. are helping the brands in this sector to predict the taste, preferences, priorities, and overall buying behaviour of their target audience. These valuable insights are subsequently utilised for influencing these prospects through hyper-targeted content and advertising. The overarching objective of this research study is to understand the effectiveness of micro-targeting for creating desired customer experience and subsequently its impact on the brand preference and purchase intention. Novelty of this study is reflected in its focus, which is on understanding the role micro-targeting can play in marketing and branding of offerings in experiential tourism category. It was observed that micro-targeting helps companies/brands to create personalised customer experience across different touch-points during the buying process of the high involvement offerings like experiential travel and tourism services.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1463 - 1473"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46448654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2117345
Seema Wadhawan, N. Gupta, Ashneet Kaur, A. Bhardwaj
Abstract Leadership is a journey that never stops and has power to evoke the minds of the people in the organisation. Outbreak of COVID-19 left individuals and organizations with many shocks due to unprecedented change. Transformational leadership style evokes the behaviour of employees towards better task. This study aims to establish the relationship between the transformational leadership and its impact on the employee performance in COVID-19 era. An empirical study was conducted by a survey, administered on employees of IT sector. Hypotheses were tested on a sample of 300. Statistical tools such as excel and SPSS were used for analysis. Multiple Regression was applied to study the influence of transformational leadership on employee performance. The results showed there is a significant relationship between transformational leadership and employee performance and the predictive variable traits of transformational leadership contributed significantly.
{"title":"Transformational leadership and employee performance amid COVID-19 crisis","authors":"Seema Wadhawan, N. Gupta, Ashneet Kaur, A. Bhardwaj","doi":"10.1080/02522667.2022.2117345","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117345","url":null,"abstract":"Abstract Leadership is a journey that never stops and has power to evoke the minds of the people in the organisation. Outbreak of COVID-19 left individuals and organizations with many shocks due to unprecedented change. Transformational leadership style evokes the behaviour of employees towards better task. This study aims to establish the relationship between the transformational leadership and its impact on the employee performance in COVID-19 era. An empirical study was conducted by a survey, administered on employees of IT sector. Hypotheses were tested on a sample of 300. Statistical tools such as excel and SPSS were used for analysis. Multiple Regression was applied to study the influence of transformational leadership on employee performance. The results showed there is a significant relationship between transformational leadership and employee performance and the predictive variable traits of transformational leadership contributed significantly.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1431 - 1441"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46680596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-18DOI: 10.1080/02522667.2022.2117325
Supriya Lakhangaonkar, S. Kishore, Kavita Kamath
Abstract Parle is a brand that is known to one and all in India. It is a household name when it comes to biscuits. Parle-G is the world’s number 1 selling biscuit. Flourishing in its taste and quality which comes at a very affordable, low price, Parle has been very popular in the Indian market. It has the lion’s share of the Indian biscuit market. This case study explores how Parle leveraged this brand value it earned through biscuits and extended its product line by launching sanitizers in 2020. The case study also highlights an interesting occurrence: While most companies were grappling with low sales and distribution issues during the Covid-19 pandemic and subsequent lockdown, Parle reported the highest sales it had achieved in over 8 decades. This case study delves into various aspects such as Parle’s history and reasons for its success in the biscuit market, its growth spurt during the Covid-19 pandemic, the factors which resulted in such huge growth, and finally its business diversification into the hand sanitizer market. This case study makes use of the available litreature to highlight the reasons behind Parle’s market success with a special focus on Parle-G Biscuits; its most successful and popular product. This case study can be used to teach and learn various concepts like marketing mix, product line, product line diversification, and brand value to name a few.
{"title":"From biscuits to hand sanitizers: India’s largest biscuit and confectionary brand-Parle’s diversification","authors":"Supriya Lakhangaonkar, S. Kishore, Kavita Kamath","doi":"10.1080/02522667.2022.2117325","DOIUrl":"https://doi.org/10.1080/02522667.2022.2117325","url":null,"abstract":"Abstract Parle is a brand that is known to one and all in India. It is a household name when it comes to biscuits. Parle-G is the world’s number 1 selling biscuit. Flourishing in its taste and quality which comes at a very affordable, low price, Parle has been very popular in the Indian market. It has the lion’s share of the Indian biscuit market. This case study explores how Parle leveraged this brand value it earned through biscuits and extended its product line by launching sanitizers in 2020. The case study also highlights an interesting occurrence: While most companies were grappling with low sales and distribution issues during the Covid-19 pandemic and subsequent lockdown, Parle reported the highest sales it had achieved in over 8 decades. This case study delves into various aspects such as Parle’s history and reasons for its success in the biscuit market, its growth spurt during the Covid-19 pandemic, the factors which resulted in such huge growth, and finally its business diversification into the hand sanitizer market. This case study makes use of the available litreature to highlight the reasons behind Parle’s market success with a special focus on Parle-G Biscuits; its most successful and popular product. This case study can be used to teach and learn various concepts like marketing mix, product line, product line diversification, and brand value to name a few.","PeriodicalId":46518,"journal":{"name":"JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES","volume":"43 1","pages":"1233 - 1242"},"PeriodicalIF":1.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42116546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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