Julia Chou, Praveen Kumar Das and S.P. Uma Rao
The purpose of this paper is to investigate the seasonal effect in the value premium puzzle. It studies whether the book‐to‐market effect is an outcome of the January effect…
Abstract
Purpose
The purpose of this paper is to investigate the seasonal effect in the value premium puzzle. It studies whether the book‐to‐market effect is an outcome of the January effect observed among stock returns.
Design/methodology/approach
The paper uses returns of portfolios based on size and BE/ME ratios as Fama and French suggest to define value premium and investigate the seasonality of the BE/ME effect. The paper tests whether the value premiums observed among large and small stocks are different in January and non‐January months. It examines the turn‐of‐the‐year effect on the value premium by analyzing the returns of BE/ME portfolios during the first and last ten trading days of a calendar year.
Findings
Empirical evidence supports the fact that value premium has different patterns in January and non‐January months for large and small capitalization firms. It was found that large stocks have a significant value premium only in January and this high January value premium among large stocks is mainly driven by loser stocks at the turn of the year. In contrast with large stocks, the value premium of small stocks occurs only in non‐January months.
Originality/value
This paper shows that value premium of large and small stocks are different in January and non‐January months. Furthermore, the past performance of stocks plays a key role in the observed January value premium among large stocks. Finally, this study provides evidence to show that the value premium among large stocks may be explained by investor trading behavior.
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Praveen Kumar Sharma and Rajeev Kumra
The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following…
Abstract
Purpose
The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following the second round of COVID-19 in India.
Design/methodology/approach
A cross-sectional study was carried out using an online questionnaire. In total, 505 individuals participated through convenience sampling. To measure anxiety, depression and stress, the Depression Anxiety Stress Scale (DASS-21), a 21-statement self-reported questionnaire, was used.
Findings
Multiple regression analyses were performed to evaluate the sociodemographic characteristics associated with depression, stress and anxiety. Results indicated salary/allowances reduction and alcohol consumption were associated with depression. Multiple regression also indicated that salary/allowances reduction, smoking status and alcohol consumption were associated with stress. In addition, this research also showed that chronic disease, salary/allowances reduction, smoking status and alcohol consumption were associated with anxiety.
Research limitations/implications
During the second COVID-19 wave in India, various individuals were affected. Anxiety, depression and stress were common among Indians after the second wave of COVID-19. Along with other actions to restrict the development of COVID-19, the Indian Government and mental health specialists must pay close attention to the inhabitants' mental health. More large-scale studies on various occupations should be conducted, and new mental health factors should be included.
Originality/value
This study provides empirical insights related the sociodemographic factors and stress, anxiety and depression.
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Praveen Kulkarni, Arun Kumar, Ganesh Chate and Padma Dandannavar
This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits…
Abstract
Purpose
This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.
Design/methodology/approach
Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.
Findings
This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.
Research limitations/implications
Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.
Practical implications
The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.
Social implications
This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.
Originality/value
This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.
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COVID entered the world in 2019 as a pandemic and the intensity of this health crisis is only increasing in several regions. Therefore, it is critical to study and detect the…
Abstract
COVID entered the world in 2019 as a pandemic and the intensity of this health crisis is only increasing in several regions. Therefore, it is critical to study and detect the public's frame of mind, government and economists' perception regarding the COVID crisis, as well as the primary worries that the public has expressed, and how this evolves over time. Responsive measures towards COVID-19 from the Indian economy have been explored as a key objective. Moreover, efforts have been made to explore recovery in India through economists and policymakers. Data have been explored through online interviews of key economists which were published in leading newspapers and covered through media channels such as NDTV, CNBC, etc. Moreover, various newspapers and reports were explored to understand government initiatives to address COVID-19 in India. The study's findings show how essential economic recovery from the second wave is in India, and how it may be achieved by strong fiscal and monetary policies, as well as specific attention to impoverished households, small and micro-businesses and increased employment. The short-term focus of the developing economic strategy must be on giving crisis relief to the most unprotected segments of society since long-term system stimulation is impossible.
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Arshdeep Singh, Kashish Arora and Suresh Chandra Babu
Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate…
Abstract
Purpose
Climate change-related weather events significantly affect rice production. In this paper, we investigate the impact of and interrelationships between agriculture inputs, climate change factors and financial variables on rice production in India from 1970–2021.
Design/methodology/approach
This study is based on the time series analysis; the unit root test has been employed to unveil the integration order. Further, the study used various econometric techniques, including vector autoregression estimates (VAR), cointegration test, autoregressive distributed lag (ARDL) model and diagnostic test for ARDL, fully modified least squares (FMOLS), canonical cointegrating regression (CCR), impulse response functions (IRF) and the variance decomposition method (VDM) to validate the long- and short-term impacts of climate change on rice production in India of the scrutinized variables.
Findings
The study's findings revealed that the rice area, precipitation and maximum temperature have a significant and positive impact on rice production in the short run. In the long run, rice area (ß = 1.162), pesticide consumption (ß = 0.089) and domestic credit to private sector (ß = 0.068) have a positive and significant impact on rice production. The results show that minimum temperature and direct institutional credit for agriculture have a significant but negative impact on rice production in the short run. Minimum temperature, pesticide consumption, domestic credit to the private sector and direct institutional credit for agriculture have a negative and significant impact on rice production in the long run.
Originality/value
The present study makes valuable and original contributions to the literature by examining the short- and long-term impacts of climate change on rice production in India over 1970–2021. To the best of the authors’ knowledge, The majority of the studies examined the impact of climate change on rice production with the consideration of only “mean temperature” as one of the climatic variables, while in the present study, the authors have considered both minimum as well as maximum temperature. Furthermore, the authors also considered the financial variables in the model.
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Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a…
Abstract
Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.
Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.
Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.
Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.
Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.
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Praveen Kumar Gupta, A. Yildirim and K.N. Rai
This purpose of this paper is to find the approximate analytical solutions of a multidimensional partial differential equation such as Helmholtz equation with space fractional…
Abstract
Purpose
This purpose of this paper is to find the approximate analytical solutions of a multidimensional partial differential equation such as Helmholtz equation with space fractional derivatives α,β,γ (1<α,β,γ≤2). The fractional derivatives are described in the Caputo sense.
Design/methodology/approach
By using initial values, the explicit solutions of the equation are solved with powerful mathematical tools such as He's homotopy perturbation method (HPM).
Findings
This result reveals that the HPM demonstrates the effectiveness, validity, potentiality and reliability of the method in reality and gives the exact solution.
Originality/value
The most important part of this method is to introduce a homotopy parameter (p), which takes values from [0,1]. When p=0, the equation usually reduces to a sufficiently initial form, which normally admits a rather simple solution. When p→1, the system goes through a sequence of deformations, the solution for each of which is close to that at the previous stage of deformation. Here, we also discuss the approximate analytical solution of multidimensional fractional Helmholtz equation.
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Praveen Kulkarni, Rohit Mutkekar, Shashidhar Chiniwar and Sanjeev Ingalagi
The purpose of this paper is to provide the insights on the challenges influencing rural start-ups. It provides insights with regards to managerial, operational, marketing and…
Abstract
Purpose
The purpose of this paper is to provide the insights on the challenges influencing rural start-ups. It provides insights with regards to managerial, operational, marketing and finance-related challenges influencing the rural start-ups in the study. The study aims to expand the domain of start-ups by including a broader range of challenges and related aspects found in the start-up literature.
Design/methodology/approach
The paper opted for an exploratory study using the open-ended approach of grounded theory, including 61 rural start-ups operating in Karnataka, India. The data were analysed through non-parametric test to understand the comparison between different sectors of rural start-ups.
Findings
It suggests that marketing techniques and infrastructure challenges influences the rural start-ups. Therefore, success of start-ups is influenced by these related variables.
Research limitations/implications
Because of the chosen research approach, the research results may lack generalizability. Researchers are therefore encouraged to test the proposed propositions further in the area of challenges and growth in the domain of managerial, infrastructure, marketing, finance, human resource and logistics in rural start-ups. The study is restricted to rural start-ups located in districts of Karnataka, India.
Practical implications
The paper includes implications for managing the challenges for enhancing the growth of start-ups. The paper provides insights on the significant challenges witnessed by the start-ups and provides directions for the growth of start-ups.
Social implications
This paper fulfils an identified need of the start-ups in rural sector and contribute to the growth of start-ups in rural sector of India.
Originality/value
This paper fulfils an identified need to study how rural start-ups operate and create a niece in the growth of Indian economy.
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Sonali A. Deshmukh, Praveen Barmavatu, Mihir Kumar Das, Bukke Kiran Naik, Vineet Singh Sikarwar, Alety Shivakrishna, Radhamanohar Aepuru and Rathod Subash
This study has covered many types of solar-powered air-conditioning systems that may be used as an alternative to traditional electrically powered air-conditioning systems in…
Abstract
This study has covered many types of solar-powered air-conditioning systems that may be used as an alternative to traditional electrically powered air-conditioning systems in order to reduce energy usage. Solar adsorption air cooling is a great alternative to traditional vapor compression air-conditioning. Solar adsorption has several advantages over traditional vapor-compression systems, including being a green cooling technology which uses solar energy to drive the cycle, using pure water as an eco-friendly HFC-free refrigerant, and being mechanically simple with only the magnetic valves as moving parts. Several advancements and breakthroughs have been developed in the area of solar adsorption air-conditioners during the previous decade. However, further study is required before this technology can be put into practise. As a result, this book chapter highlights current research that adds to the understanding of solar adsorption air-conditioning technologies, with a focus on practical research. These systems have the potential to become the next iteration of air-conditioning systems, with the benefit of lowering energy usage while using plentiful solar energy supplies to supply the cooling demand.