Pub Date : 2022-12-19DOI: 10.1177/09728686221148634
M. Narendra
{"title":"India’s Quest for Achieving $5 Trillion Economy: A Critical Review","authors":"M. Narendra","doi":"10.1177/09728686221148634","DOIUrl":"https://doi.org/10.1177/09728686221148634","url":null,"abstract":"","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121771159","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 : 2022-12-19DOI: 10.1177/09728686221144173
Sunil Barsaiyan, Charu Sijoria
With an objective to deliver a relevant experience to its users, the social media platform Facebook employs a backend algorithm to select and identify the page posts, to further populate them on the user’s newsfeeds. The algorithm receives indications or signals from the user activities/actions on the platform w.r.t the posts uploaded/publicly communicated by the pages. In this article, the authors have studied the important user actions from the Facebook algorithm point of view through a systematic analysis of academic and industry-based literature to unearth the user action preferences of the secret and always-changing Facebook algorithm. Basis the findings, the authors have also suggested a conceptual model that drives higher user engagement for the pages. Results reveal that at the page level, ‘Follow’ and ‘Share’ are positive indicators for the algorithm, while ‘Unfollow’ and ‘Page Block’ are negative signals that impact a page’s visibility on the users’ newsfeed. At the post level, ‘Share’, ‘Comments’ and ‘Reactions’ are the positive signals of rankings whereas ‘Unfollow’, ‘Hide’ and ‘Snooze’ are a negative set of user actions. The findings of this article are extremely vital for the millions of Facebook page owners/marketers to optimise the overall results.
{"title":"Identification of the Preferences Signals of Facebook Algorithm in Prioritising Page Posts on Users’ Feeds","authors":"Sunil Barsaiyan, Charu Sijoria","doi":"10.1177/09728686221144173","DOIUrl":"https://doi.org/10.1177/09728686221144173","url":null,"abstract":"With an objective to deliver a relevant experience to its users, the social media platform Facebook employs a backend algorithm to select and identify the page posts, to further populate them on the user’s newsfeeds. The algorithm receives indications or signals from the user activities/actions on the platform w.r.t the posts uploaded/publicly communicated by the pages. In this article, the authors have studied the important user actions from the Facebook algorithm point of view through a systematic analysis of academic and industry-based literature to unearth the user action preferences of the secret and always-changing Facebook algorithm. Basis the findings, the authors have also suggested a conceptual model that drives higher user engagement for the pages. Results reveal that at the page level, ‘Follow’ and ‘Share’ are positive indicators for the algorithm, while ‘Unfollow’ and ‘Page Block’ are negative signals that impact a page’s visibility on the users’ newsfeed. At the post level, ‘Share’, ‘Comments’ and ‘Reactions’ are the positive signals of rankings whereas ‘Unfollow’, ‘Hide’ and ‘Snooze’ are a negative set of user actions. The findings of this article are extremely vital for the millions of Facebook page owners/marketers to optimise the overall results.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124134172","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 : 2022-12-19DOI: 10.1177/09728686231151763
Radha R. Sharma
{"title":"Environmental, Social and Governance (ESG) Strategies for Climate Change","authors":"Radha R. Sharma","doi":"10.1177/09728686231151763","DOIUrl":"https://doi.org/10.1177/09728686231151763","url":null,"abstract":"","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130669829","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 : 2022-07-01DOI: 10.1177/09728686221108506
Radha R. Sharma
{"title":"From Crises to Transformative Change","authors":"Radha R. Sharma","doi":"10.1177/09728686221108506","DOIUrl":"https://doi.org/10.1177/09728686221108506","url":null,"abstract":"","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127172282","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 : 2022-07-01DOI: 10.1177/09728686221099284
Aditya Keshari, Amit Gautam
The outbreak of COVID-19 was an extreme event that created panic among the people, disrupted normal functioning and adversely affected the economy. The stock market fell due to the uncertainty that ensued, and it continues to do so as new variants are being discovered. The study explores the impact of the outbreak of a new variant of COVID-19 on the stock market and analyses investor sentiment towards investing and global investing through sentiment analysis using QSR NVivo software. The results contribute to the extant literature that the investors’ sentiment is positive towards global investing despite the adverse conditions. Investors need to choose those stocks that are internationally diversified with sound fundamentals. The study reveals that markets bounce after a significant cooling period, and investment managers should encourage the investors to hold their portfolios. The study also identifies the important themes and social networking of investors from India with the world through the NodeXL. The study identified major themes such as alerts, timing, investors and investing, which shows that the people mainly focus on stocks, its alert and timing for making investment decisions.
{"title":"Global Investing Sentiment and Social Interaction During COVID Outbreak","authors":"Aditya Keshari, Amit Gautam","doi":"10.1177/09728686221099284","DOIUrl":"https://doi.org/10.1177/09728686221099284","url":null,"abstract":"The outbreak of COVID-19 was an extreme event that created panic among the people, disrupted normal functioning and adversely affected the economy. The stock market fell due to the uncertainty that ensued, and it continues to do so as new variants are being discovered. The study explores the impact of the outbreak of a new variant of COVID-19 on the stock market and analyses investor sentiment towards investing and global investing through sentiment analysis using QSR NVivo software. The results contribute to the extant literature that the investors’ sentiment is positive towards global investing despite the adverse conditions. Investors need to choose those stocks that are internationally diversified with sound fundamentals. The study reveals that markets bounce after a significant cooling period, and investment managers should encourage the investors to hold their portfolios. The study also identifies the important themes and social networking of investors from India with the world through the NodeXL. The study identified major themes such as alerts, timing, investors and investing, which shows that the people mainly focus on stocks, its alert and timing for making investment decisions.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114210345","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 : 2022-07-01DOI: 10.1177/09728686221099275
A. Sinha, Sudin Bag
Financial system plays an important role in an economy. The banking sector in India has been undergoing reforms for a long time with the aim to develop competitiveness, increase inclusiveness, create big-sized banks and improve operational efficiency. The present investigation looks at the efficiency of the public sector banks for the period 2012–2018, using data envelopment analysis under the assumption of constant returns to scale. The two-input, two-output model is used to determine the efficiency levels on the basis of Minimum Distance to Strong Efficient Frontier as proposed by Aparicio et al. (2007). In order to capture the effect of non-performing assets (NPAs), efficiency is computed under the restricted (with NPAs not included) and unrestricted model (with NPAs considered as an undesirable output). The study finds that majority of the banks have been consistently performing quite well compared to their peers and overall industry. The correlation in the ranking of banks under the two models shows high and significant value in all the years.
{"title":"Investigating the Impact of Non-Performing Assets on Efficiency of Public Sector Banks in India","authors":"A. Sinha, Sudin Bag","doi":"10.1177/09728686221099275","DOIUrl":"https://doi.org/10.1177/09728686221099275","url":null,"abstract":"Financial system plays an important role in an economy. The banking sector in India has been undergoing reforms for a long time with the aim to develop competitiveness, increase inclusiveness, create big-sized banks and improve operational efficiency. The present investigation looks at the efficiency of the public sector banks for the period 2012–2018, using data envelopment analysis under the assumption of constant returns to scale. The two-input, two-output model is used to determine the efficiency levels on the basis of Minimum Distance to Strong Efficient Frontier as proposed by Aparicio et al. (2007). In order to capture the effect of non-performing assets (NPAs), efficiency is computed under the restricted (with NPAs not included) and unrestricted model (with NPAs considered as an undesirable output). The study finds that majority of the banks have been consistently performing quite well compared to their peers and overall industry. The correlation in the ranking of banks under the two models shows high and significant value in all the years.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211282","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 : 2022-07-01DOI: 10.1177/09728686221099267
Preksha Dassani, Vijaya Kittu Manda, D. .
The cognitive dissonance theory, formulated by Psychologist Leon Festinger, revealed that inconsistency in beliefs or behaviour among individuals causes psychological tension or dissonance due to exposure to new information. Investor behaviour is prone to several biases that refrains them from making rational decisions. They often reluctantly stick to their original decision even though it is costly. An online and offline survey using a structured questionnaire was used and data was collected from 250 stock market investors of Visakhapatnam, India. With the use of mean and one-way ANOVA - the relationship between independent variable (income, investment amount, education qualification, age, gender and investor experience) and dependent variables (cognitive dissonance) - it was revealed that investors were prone to cognitive dissonance bias. The research shows that cognitive dissonance bias causes investors to make sub-optimal choices. Based on the findings, recommendations were put forth to help investors mitigate their susceptibility to cognitive dissonance bias.
{"title":"Cognitive Dissonance Bias Among Stock Market Investors","authors":"Preksha Dassani, Vijaya Kittu Manda, D. .","doi":"10.1177/09728686221099267","DOIUrl":"https://doi.org/10.1177/09728686221099267","url":null,"abstract":"The cognitive dissonance theory, formulated by Psychologist Leon Festinger, revealed that inconsistency in beliefs or behaviour among individuals causes psychological tension or dissonance due to exposure to new information. Investor behaviour is prone to several biases that refrains them from making rational decisions. They often reluctantly stick to their original decision even though it is costly. An online and offline survey using a structured questionnaire was used and data was collected from 250 stock market investors of Visakhapatnam, India. With the use of mean and one-way ANOVA - the relationship between independent variable (income, investment amount, education qualification, age, gender and investor experience) and dependent variables (cognitive dissonance) - it was revealed that investors were prone to cognitive dissonance bias. The research shows that cognitive dissonance bias causes investors to make sub-optimal choices. Based on the findings, recommendations were put forth to help investors mitigate their susceptibility to cognitive dissonance bias.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114907187","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 : 2022-07-01DOI: 10.1177/09728686221099286
S. Yadava
{"title":"Carrie A. Picardi, Leadership Essentials You Always Wanted to Know","authors":"S. Yadava","doi":"10.1177/09728686221099286","DOIUrl":"https://doi.org/10.1177/09728686221099286","url":null,"abstract":"","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129543597","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 : 2022-07-01DOI: 10.1177/09728686221100495
Tribhuvan Nath, Shrestha, Priya Sharma
The circular economy has emerged as a new paradigm for sustainability. The ‘take-make-reutilise’ concept of the circular model is considered to be far more superior to the traditional ‘take-make-dispose’ linear model. The concepts of circular economy and sustainability are closely related; the circular economy is considered a driver to more sustainable business. Our existing global food system is highly unsustainable. Roughly, one-third of the total food produced gets lost or waste at different stages of food supply chain. Further, the agriculture sector is also a victim of and a major contributor to climate change. Hence, our food system is in urgent need of transformation from the existing unsustainable to be made more sustainable and healthier. So, it is critically important to adopt circular economy-driven sustainability practices in the food industry and its supply chain. While there have been many studies in the past which built conceptual knowledge on the circular economy and sustainable food business practices, rarely any study attempts to investigate the perception of food business managers/executives by integrating both concepts. The article analyses the circular-economy driven sustainability adoption practices in the food supply chain. Based on the survey of managers and business executives of 26 selected food companies in India, the study investigates the managerial perception on sustainability adoption practices in food supply chain. The findings indicate that food business managers and executives believe that adoption of sustainable practices is extremely important for food business sustainability. However, their sustainability adoption practices were found to be on moderate level across the food supply chain. The major recommendation is that the government should take the proactive approach to educate the agri-food industry particularly the traditional food enterprises including SMEs about the benefits of the adoption of circular economy and sustainability approaches. Policy-based initiatives are required to develop the enabling conditions in terms of provision of necessary infrastructure, delivering technical-know, promoting innovations and extending the financial support for successful adoption of circular economy-driven sustainability practices by agri-food sector and its supply chain.
{"title":"Circular Economy-driven Sustainability Adoption Practices in the Food Supply Chain: An Analysis of Managerial Perceptions","authors":"Tribhuvan Nath, Shrestha, Priya Sharma","doi":"10.1177/09728686221100495","DOIUrl":"https://doi.org/10.1177/09728686221100495","url":null,"abstract":"The circular economy has emerged as a new paradigm for sustainability. The ‘take-make-reutilise’ concept of the circular model is considered to be far more superior to the traditional ‘take-make-dispose’ linear model. The concepts of circular economy and sustainability are closely related; the circular economy is considered a driver to more sustainable business. Our existing global food system is highly unsustainable. Roughly, one-third of the total food produced gets lost or waste at different stages of food supply chain. Further, the agriculture sector is also a victim of and a major contributor to climate change. Hence, our food system is in urgent need of transformation from the existing unsustainable to be made more sustainable and healthier. So, it is critically important to adopt circular economy-driven sustainability practices in the food industry and its supply chain. While there have been many studies in the past which built conceptual knowledge on the circular economy and sustainable food business practices, rarely any study attempts to investigate the perception of food business managers/executives by integrating both concepts. The article analyses the circular-economy driven sustainability adoption practices in the food supply chain. Based on the survey of managers and business executives of 26 selected food companies in India, the study investigates the managerial perception on sustainability adoption practices in food supply chain. The findings indicate that food business managers and executives believe that adoption of sustainable practices is extremely important for food business sustainability. However, their sustainability adoption practices were found to be on moderate level across the food supply chain. The major recommendation is that the government should take the proactive approach to educate the agri-food industry particularly the traditional food enterprises including SMEs about the benefits of the adoption of circular economy and sustainability approaches. Policy-based initiatives are required to develop the enabling conditions in terms of provision of necessary infrastructure, delivering technical-know, promoting innovations and extending the financial support for successful adoption of circular economy-driven sustainability practices by agri-food sector and its supply chain.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124097199","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 : 2022-07-01DOI: 10.1177/09728686221099285
K. Khan, Dileep Singh
Forecasting of stock prices is a very important subject in the financial world and economics. For many years, investors have been interested in making better forecasting models. The autoregressive integrated moving average (ARIMA) model was used previously for time series forecasting. This article shows the process of stock price forecasting using an ARIMA model. Historical stock data for analysis is obtained from the National Stock Exchange (NSE) and is used along with the stock price for forecasting using an ARIMA model. The result obtained from an ARIMA model is better for short-term forecasting and can be proven with existing methods for stock price prediction.
{"title":"Stock Price Forecasting of Maruti Suzuki using Auto Regressive Integrated Moving Average (ARIMA) Model","authors":"K. Khan, Dileep Singh","doi":"10.1177/09728686221099285","DOIUrl":"https://doi.org/10.1177/09728686221099285","url":null,"abstract":"Forecasting of stock prices is a very important subject in the financial world and economics. For many years, investors have been interested in making better forecasting models. The autoregressive integrated moving average (ARIMA) model was used previously for time series forecasting. This article shows the process of stock price forecasting using an ARIMA model. Historical stock data for analysis is obtained from the National Stock Exchange (NSE) and is used along with the stock price for forecasting using an ARIMA model. The result obtained from an ARIMA model is better for short-term forecasting and can be proven with existing methods for stock price prediction.","PeriodicalId":399076,"journal":{"name":"Review of Professional Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128982795","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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