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Employee motivation for sustainable entrepreneurship: The mediating role of green hrm
This chapter aims to explore the relationship between employee motivation and sustainable entrepreneurship with a specific focus on the mediating role of green human resource management (HRM). As organizations increasingly recognize the importance of environmental sustainability, understanding the mechanisms through which employee motivation translates into sustainable entrepreneurial behaviors becomes crucial. By integrating concepts from the fields of entrepreneurship, sustainability, and HRM, this study proposes that Green HRM practices play a mediating role in fostering employee motivation for sustainable entrepreneurship. The findings of this research provide valuable insights for organizations seeking to enhance their sustainability efforts by leveraging employee motivation and implementing effective Green HRM strategies. 2023, IGI Global. All rights reserved. -
Improving organizational environmental performance through green training
It is necessary to equip employees with green abilities as well as to develop their dedication towards green behaviour in order to improve an organization's environmental performance. The purpose of this research is to evaluate the direct impact of green training on organizational environmental performance (OEP) and the mediating effect of organizational citizenship behaviour on the environment (OCBE). The study is based on responses from 107 employees of the IT sector in India. The findings suggest that green training has a significant positive impact on the organizational environmental performance and that the impact is strengthened by organizational citizenship behaviour towards the environment. The findings are of particular importance given the growing importance of sustainability in the organizational context. 2023, IGI Global. All rights reserved. -
Educational Perspective & Antecedental Outcomes of Green HRM for Employees Sustainable Behaviour
It is necessary to equip employees with green abilities and develop their dedication towards sustainable behaviour to improve an organizations sustainable performance. The objective of this study is to assess the direct effects of green human resource management on employees' sustainable behaviour (ESB) and the mediating role of employees' educational perspectives (EPE). The study is based on responses from 320 IT sector employees in India. The findings suggest that green HRM has a significant positive impact on employees' sustainable behaviour (ESB) and that the impact is strengthened by the education perspective of employees (EPE). The findings are significant, given the growing importance of sustainability in the organizational context 2022, Journal for ReAttach Therapy and Developmental Diversities.All Rights Reserved. -
Improving Organizational Sustainable Performance of Organizations Through Green Training
It is necessary to equip employees with green abilities as well as to develop their dedication towards green behaviour, in order to improve an organization's environmental performance. The purpose of this research is to evaluate the direct impact of green training on organizational environmental performance (OEP) and the mediating effect of organizational citizenship behaviour on the environment (OCBE). The study is based on responses from 107 employees of the IT sector in India. The findings suggest that green training has a significant positive impact on the organizational environmental performance, and that the impact is strengthened by organizational citizenship behaviour towards the environment. The findings are of particular importance given the growing importance of sustainability in the organizational context. 2023 IGI Global. All rights reserved. -
International investments and environmental protection in India - Policy and implementation gaps in mitigating the carbon footprints
Introduction: While India's contribution and progress on environment protection has been applauded by global leaders, India continues to be one of the biggest carbon and greenhouse gas (GHG) emitter globally. Major sectors responsible for carbon emissions are also the major sectors attracting international investments. This paper intends review such investments and examine their impact on environment. Methodology: A comprehensive review of the existing literature to identify the prevailing laws and policies that apply to corporations to meeting environmental standards was undertaken. In addition, extensive search was undertaken on the internet for reports and database that monitor corporate behavior and report about their disclosures and efforts on addressing environmental concerns. A review of the investment agreements signed, adopted and in-force in India was also undertaken to understand if they meet the standards of environmental protection. Data collection was done between July 2022 to June 2023. Findings: The Constitution of India stipulates protection and improvement of public and environmental health of the country. Several laws and policies have been adopted to meet this constitutional standard in India, including The National Action Plan on Climate Change (NAPCC). The 17 SDGs have direct and indirect linkages and impact on the environment. It is evident that all international investment agreements up to 2017 have no mention of environment exemption clause nor incorporates the GATT Article XX exceptions. However, the recent IIAs do mention environment as exception to expropriation. It is also seen that investments by big corporations have been responsible for huge deforestation, water pollution, and fossil fuel globally and most of them have their footprints in India and continue to contribute to the countries carbon footprint. India's commitment to renewable and non-conventional energy is the silver lining to meeting the SDG goals and the net zero emission targets. Meeting ESG standards and its disclosures by regulatory body is another positive step towards environmental protection from international investments. Conclusion: The biggest global contributors to GHG and carbon emissions have their presence in India and thus contribute to the overall carbon foot print of India. All international investments must be required to comply with the legal and policy regulations on public health and environment protection. In this regard, corporations should be mandated to follow ESG standards to meet the SDGs objectives. 2023 The Authors -
Special Military Application Antenna for Robotics Process Automation
A special military application antenna for robotics process automation is presented in the following chapter. An antenna is a device that uses wireless communication. Wireless communications main advantage is protecting our soldiers from undefined enemies. To keep this thing in mind, we have designed a special military application antenna. The presented antenna is useful for defense and satellite communication, including wi-fi and Wimax, which is useful for the robotics automation process. Most of the military robotics automation is based on wireless communication. Our proposed antenna is very useful and capable of receiving or transmitting high signals in terms of GHz. The presented geometry can radiate the large frequency band from 2.9 to 11.6 GHz, which covers the 5G-(I) Sub- 6GHz band and X-Band Communication, with high efficiency. The impedance bandwidth of the radiator is 120%, with an electrical size of .14?x.14?x0.014? in lambda. The antenna is simulated with an FR4 substrate using a CST Simulator. Simulations also investigate the 08-stages evolution process and corresponding S-parameter results are presented. The proposed structure also demonstrates stable radiation patterns across the operating bandwidth. The proposed radiator has a high gain of 6.78 dBi and an efficiency of 89%. Therefore, it is useful for 5G-(I) Sub-6GHz band and X-band military applications, including satellite mobile, Radar, and Satellite microwave communication. 2023 Scrivener Publishing LLC. -
Smart Antenna for Home Automation Systems
A smart antenna for home automation systems is suggested in this design. An antenna is a device that minimizes human movements while dealing with electronics systems and software. This smart antenna helps reduce physically challenged peoples movement and supports home automation systems. The presented antennas could be used for any small device, like a mobile, tablet, laptop, Wi-Fi, or WiMAX, which are essential in the current scenario. The presented smart antenna is capable of radiating a large frequency band from 3 to 13.8 GHz, which covers the .5-7 GHz (5G(I) Sub-6 GHz band), Wimax 3.5 and 5.5 GHz bands, WLAN 5.2 and 5.8 GHz bands, C 4-8 GHz Band, X 8-12 GHz Band, and other home automation applications with high efficiency. The impedance bandwidth of the smart antenna is 128%, with a size of 15x15x1.5 mm3. The suggested design includes a modified patch in the shape of a square patch attached with one circular element fed by a microstrip line. Circular pieces have been designed for better resonances at lower modes. The antenna is simulated with an FR4 substrate using a CST Simulator. The design is investigated by simulations and corresponding S-parameter results are presented. The robotics process automation is well described in Table 7.3. The proposed structure also demonstrates stable radiation patterns across the operating bandwidth. The proposed radiator has a high gain of 5.21 dBi and an efficiency of 80%. 2023 Scrivener Publishing LLC. -
Trident Shaped Compact Planar Antenna for Microwave Applications
A compact planar antenna for X/Ku-band microwave communication is suggested in this paper. The presented geometry is capable of radiating the large frequency band from 6.8 to 20GHz, which covers the X-Band/Ku-Band Communication with high efficiency. The impedance bandwidth of the radiator is 98.5%, with an electrical size of. 34?x.34?x0.034A in lambda. The suggested design includes a modified patch in the trident shape fed by a microstrip line. Rectangular elements have been designed for better resonances at lower modes. The antenna is simulated with an FR4 substrate using CST Simulator. The exact dimensions of the antenna are 15x15x1.5 cubic millimeter. Five stages evolution process is also investigated by simulations, and corresponding S-parameter results are presented. The proposed structure also demonstrates stable radiation patterns across the operating bandwidth. The proposed radiator has a high gain of 3.1 dBi, and an efficiency of 87%. Therefore, it is useful for X-band, and Ku-band, including Radar, Space, Terrestrial, and Satellite microwave communication. 2022 IEEE. -
Does the cryptocurrency index provide diversification opportunities with MSCI world index and MSCI emerging markets index? Cryptocurrency and portfolio diversificaiton
The study is extending the ongoing discussion on Bitcoin as a diversification asset with the stock market. Some studies analysed cryptocurrencies as a diversification asset, and few challenged the same. During times of turbulence, it is crucial to gauge further diversification opportunities. Henceforth, the study revisits the opportunities of hedging and diversification with the crypto market from a broader perspective. Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors.The study captures the spillover from MSCI World Index and MSCI Emerging Markets Index to Bitwise 10 Crypto Index Fund (BITW). The study has contributed methodologically to the existing literature by applying DY with symmetric and asymmetric dynamic conditional volatility models. The results provide in-depth shreds of evidence that BITW is insulated, neither taking volatilities from other countries nor contributing to the volatilities of other countries. The study provides insight to policymakers and investors. 2023, IGI Global. All rights reserved. -
Strategically fabricated Ag loaded Fe-g-C3N4 nanosheet for photocatalytic removal of aqueous organic pollutant
The efficiency of the photocatalyst towards the degradation of organic pollutants depends on the harvesting of the visible light and inhibiting the recombination rate of electron-hole pairs to create a large number of charge carriers to drive the redox reaction. Most charge carriers recombine in 2D photocatalyst like g-C3N4 through the bulk process within the stacked layered structure. The recombination through bulk can be suppressed through nanosheet formation, while surface recombination can be inhibited via fast interfacial photogenerated charge transfer. In the present work, Ag-loaded Fe-doped g-C3N4 nanosheet (Ag/Fe-g-C3N4 NS) photocatalyst was synthesized by combining three effective strategies i.e., Fe doping, nanostructuring, and Ag loading. Various analytical techniques have been employed to characterize all the prepared samples. The results indicate that Fe doping influences visible light absorption by modifying the electronic and optical properties. In contrast, nanosheet formation leads to a significant increment in the number of active sites due to the increased surface area. Ag anchoring over Fe-g-C3N4 NS favors charge separation at the interface of Fe-g-C3N4 and Ag due to the presence of the Schottky barrier. Integration of all the three strategies in Ag/Fe-g-C3N4 NS creates a synergistic effect to add beneficial properties and displays a 5-fold improvement in photocatalytic degradation of organic pollutants, as compared to pure g-C3N4. The present study provides a novel and facile approach for realizing an efficient photocatalyst for environmental remediation. 2022 Elsevier B.V. -
Measuring the Economic Burden of Health Conditions among White?Collar Employees: A Cross?Sectional Study from Delhi? NCR
Background: In the past few decades, there has been a significant increase in healthcare expenditure due to the prevalence of health issues across the globe. This is primarily seen among white-collar employees due to the sedentary nature of their jobs, which affects their current earnings (Purchasing Power) directly due to the reallocation of their real income towards healthcare expenditure (Economic Burden) and indirectly by impacting work productivity through sick leaves. Aim: To measure the economic burden of disease(s) among white-collar employees, and to study the same across different socio-demographic variables. Methods: A cross-sectional study has been conducted in the region of Delhi-NCR among 357 white-collar employees. A random sampling method was adopted using a structured questionnaire. The questionnaire collected information regarding the direct and indirect costs of health conditions with a recall period of one month. The cumulative score of these monthly costs was converted to annual data to estimate the economic burden of the health conditions among the employees over a year. Results: As compared to Communicable diseases (16.24%), Non-communicable diseases (27.17%) were more prevalent among the respondents. Compared to other diseases, the employees suffering from Heart diseases (INR 7,62,237.50), Spinal health issues (INR 1,73,625.00), and Diabetes (INR 1,64,535.71) incurred more economic burden. At a 5% significance level, no significant difference was observed in economic burden for Gender and BMI. However, the economic burden was significantly different across the categories of Age and Monthly income. A positive association can be observed in economic burden with the increasing categories of age and monthly income. Conclusion: With the nature of sedentary work (desk jobs), white-collar employees are at a greater risk of exposure to various NCDs than CDs and incur a significant amount of out-of-pocket expenditure to manage their health status. 2023 Wolters Kluwer Medknow Publications. All rights reserved. -
A Cross-sectional Study for Examining Catastrophic Healthcare Expenditure Across Socio-demographic Variables among Employees in a Sedentary Occupation
Health expenditure above a certain threshold level can result in a financial catastrophe by reducing the expenses on necessities. Certain socio-demographic variables have been observed to play a role in influencing catastrophic healthcare expenditure, guiding the present study to examine this scenario for employees in sedentary occupations. A cross-sectional study has been conducted among 370 employees recruited through a random sampling technique. Multinomial logistic regression was used to test the main objective of the study. The factors associated with a higher probability of catastrophic healthcare expenditure were males with increasing age. Years of work experience tend to be associated with a lower likelihood of catastrophic healthcare expenditure. No conclusive evidence could be drawn for BMI, income, marital status and education. 2024 Indian Journal of Community Medicine. -
Social Media Sentiment Analysis of Stock Market on Tweets
Sentiment categorization is utilized in today's world to analyze social media data about the stock market and estimate its future stock movement. We investigated the possible influence of 'public sentiment' on 'market trends' using sentiment analysis and machine learning concepts. Due to the enormous number of components involved, such as economic situations, political events, and other environmental factors that may affect the stock price, stock price prediction is an exceedingly complicated and challenging process. Because of these considerations, evaluating a single factor's influence on future pricing and trends is challenging. As more individuals spend time online, the popularity and impact of numerous social media platforms has skyrocketed in recent years. Twitter is one such social media tool that has exploded in popularity. Twitter is a terrific place to stay up to speed on current societal trends and perspectives. The 'Twittersphere' is a melting pot that supports diverse viewpoints, emotions, and trends, and it has the potential to be a crucial influencer in influencing and shaping perceptions. 2022 IEEE. -
Predictive Modelling of Heart Disease: Exploring Machine Learning Classification Algorithms
In addressing the critical challenge of early and accurate heart failure diagnosis, this study explores the application of five machine learning models, including XGBoost, Decision Tree, Random Forest, Logistic Regression, and Gaussian Naive Bayes. Employing cross-validation and grid search techniques to enhance generalization, the comparative analysis reveals XGBoost as the standout performer, achieving a remarkable accuracy of 85%. The findings emphasize the significant potential of XGBoost in advancing heart failure diagnosis, paving the way for earlier intervention, and potentially improving patient prognosis. The study suggests that integrating XGBoost into diagnostic processes could represent a valuable and impactful advancement in the realm of heart failure prediction, offering promising avenues for improved healthcare outcomes. 2024 IEEE. -
The digital transformation: Crafting customer engagement strategies for success
In the business world, the digital transformation has ushered in an era of unprecedented change. The explosive growth of digital technology over the past three decades has profoundly changed how businesses operate, compete, and engage with their customers. Businesses across industries have been forced to navigate this constantly changing environment due to the adoption of cloud computing, data analytics, the growth of e-commerce, and the rise of artificial intelligence. Organizations are forced to reconsider their strategies, operations, and consumer engagement models as a result of this significant instability. This chapter discusses the role of artificial intelligence in aiding customised and personalized marketing strategies, acknowledging the diverse preferences and behaviour of consumers. It shares insights on branding and customer management in an AI-driven environment. It also emphasises on online and technology-mediated customer engagement. 2024, IGI Global. All rights reserved. -
Potential health, environmental implication of microplastics: A review on its detection
Microplastic contamination of terrestrial and aquatic environment has gained immense research attention due to their potential ecotoxicity and biomagnification property when enterer into food chain. Heterogenous nature of microplastics coupled with their ability to combine with other emerging pollutants have increased the severity of this crisis. Existing detection methods often fails to accurately quantify the amount of microplastic components present in environmental and biological samples. Thus, a great deal of research gap always exists in our current understanding about microplastics including the limitations in screening, detection and mitigation. This review work presents a comprehensive out look on the impact of microplastics on both terrestrial and aquatic environment. Furthermore, an in-depth discussion on various microplastic detection techniques recently used for microplastic quantification along with their significance and limitations is summarised in this review. The review also elaborates various physical, chemical and biological methods used for the mitigation of microplastics from environmental samples. 2024 Elsevier B.V. -
A generalized software reliability prediction model for module based software incorporating testing effort with cost model
As software innovation has advanced, it has been noted that the testing effort function (TEF) is one of the key factors influencing the improvement of software reliability. This paper presents a simplified model which incorporates the testing effort for the reliability growth of a software. A closed form solution has been derived for the reliability of the software. This study examines the impact of testing efforts on a software reliability model based on NHPP. The sensitivity analysis has been made available to investigate how the created model's system parameters affect the cost function, mean value function, and softwares reliability. The parameters of the model have been estimated using the non-linear least square estimation (MLE) method in MATLAB software. Additionally, a warranty cost model is constructed to assess the optimal release policy for the software. The general form of the reliability expression involves elliptic integrals, which can be computed easily through a software like Mathematica. We have derived analytical solutions for reliability pertaining to several particular cases. Optimal release time for the software product has been calculated for some particular cost-sets. Goodness of fit curves have been plotted to compare the proposed model with some well-known existing SRGMs. Numerical illustrations are provided to bolster the analytical outcomes. The Author(s), under exclusive licence to Society for Reliability and Safety (SRESA) 2024. -
Predictors of Hypertension among Indian Women of Reproductive Age Group: An Analysis from NFHS-5 Data
Introduction: Hypertension among women not only augments the risk of cardiovascular diseases but also leads to antenatal and intra-natal complications. Materials and Methods: A subset of data collected during National Family Health Survey-5, comprising of 7,24,115 women, 1549 years of age was analysed to identify key predictors of hypertension, using Probit Regression Model (PRM) which was run separately for rural and urban women. Results: Overall prevalence of hypertension among women of reproductive age group was 11% (10.4% and 12% in rural and urban areas respectively). 5% and 13.41% of women were obese and 1.2% and 2.6% were diabetic in rural and urban areas respectively. Obese, uneducated, rich women and those on medications showed higher prevalence, while women consuming milk, eggs, chicken, fruits, and vegetables daily showed lower prevalence. On using PRM, significant predictors of hypertension were increasing age, rural residence, pregnancy, increasing weight, diabetes, illiteracy, access to medical insurance, and indulgence in alcohol and smoking. Conclusion: Findings from the study contribute to the body of evidence favouring multifactorial causation. Hypertension awareness should be promoted especially among rural residents, older women, with emphasis on intake of balanced diet with less consumption of sodium and increased intake of fruits and vegetables. 2023 National Journal of Community Medicine. -
Unraveling the synergy between oxygen doping and embedding Fe nanoparticles in gC3N4 towards enhanced photocatalytic rates
With graphitic carbon nitride (gC3N4) showing considerable potential for photocatalytic applications, the four significant limitations: surface area, light-harvesting capability, photogenerated charge separation, and charge transfer at the interface, need to be comprehensively addressed. The present work aims to exfoliate the gC3N4 stacking layers and fragment the layers horizontally to form ultra-thin nanosheets (NS) by a facile mixed-acid treatment. The surface area of gC3N4 increased by one order of magnitude (120 m2/g), due to the formation of nanosheets with planar size below ?50 nm. Moreover, incorporating non-metal (oxygen) anion dopants and metal (iron) nanoparticles enhances the overall reactivity of gC3N4 NS under light irradiation. Co-integration of these strategies led to ?17 times improvement in the photocatalytic pollutants degradation rate compared to pristine gC3N4. First-principles calculations and experimental evidence suggest the formation of an intermediate band within the bandgap of gC3N4, caused by the hybridization of N-Fe-O, which assists in harvesting a larger number of photons. Nanosheet morphology provides a shorter distance to photogenerated charges towards the surface, while the incorporation of Fe and O together offers the lowest charge transfer resistance at the interface to efficiently degrade the adsorbed pollutant molecules on the surface. With all these promoting features along with cost-effective and stable elements, Fe-O-gC3N4 NS provides an ideal solution for tuning the intrinsic morphological and electronic structure of gC3N4 for its effective application in various photocatalytic reactions. 2022 -
Nurturing a socio-emotionally engaged learner in higher education online setting: Rapid literature review
Given the growth of online learning courses in higher education, there is a need to understand the role of Social-Emotional Learning (SEL) in online learning spaces to ensure holistic development. This rapid literature review aims to identify factors influencing SEL among higher education students in online space. PRISMA method of screening was adopted to conduct this review. Four databases were systematically searched and, 23 studies were selected. The findings highlighted the importance of five factors contributing to nurturing a socio-emotionally engaged learner in an online higher education setting: student-centric pedagogy, online instructional tools, online instructors' proficiency, ensuring a safe learning environment, and online SEL workshops. Research on online SEL is developing and needs a clearer structure. Integration of scholarship of teaching-learning with online SEL can provide directions for further exploration into content knowledge, pedagogical knowledge and building a mutually engaged online learning space focusing on students' socialemotional well-being. 2019 Nova Science Publishers, Inc. All rights reserved.