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The aim of this study is to understand the effects of psychological social and financial perceptions of post-retirement life and demographic characteristics on retirement planning behaviour (RPB) of the employees from different occupational sectors.

The primary data from 400 employees in central government, state government and private sector is collected through a structured questionnaire. The questionnaire comprised of 43 items to measure social and financial perceptions and RPB along with demographic information. An exploratory factor analysis (EFA) and multiple linear regression (MLR) analysis are performed to find the significant variables of social and financial perceptions influencing the RPB.

The results of exploratory factor analysis revealed three principle components of social perceptions, four of financial perceptions and three of RPB. The role clarity, involvement, obligations, uncertainty and preparations have significant impact on RPB. This study found a moderate positive correlation between RPB and extracted factors of social and financial perceptions. The study confirms the significant effect of demographic variables such as age, marital status, occupational sector, income and education levels on RPB.

The study has number of implications for government and private sector organisations involved in offering the retirement planning solutions as well as to the employees. The stakeholders may take a note of the role of psychological social (role clarity and social involvement) and financial (financial obligations, uncertainty and preparation for post-retirement life) perceptions that influence RPB. The study also provides an insight to the policy makers for considering the demographic information such as age, education, marital status and income of the employees while designing/offering the choices of retirement plans to them. Further studies are recommended to validate the findings of this study in terms of testing the effect of psychological social and financial perceptions on retirement planning behaviour of the employees.

Research on how managerial coaching effects employee cognitions and motivations is scarce, especially in the Indian context. This study aims to explore the association between managerial coaching, perceived investment in employee development (PIED), as antecedents, and employee engagement and organization citizenship behaviors directed to the organization (OCBO), as consequences, in the context of the pharmaceutical industry in Sikkim (India).

The target population for the study are the first-level line managers and non-managerial employees of pharmaceutical companies in Sikkim (India). A cross-sectional study was conducted using sample collected through self-reported questionnaire and analyzed using partial least squares structural equation modeling.

The results indicate that managerial coaching is positively associated with employee engagement and OCBO. PIED was not found to be associated with the employee outcomes. Implications for theory and practice, limitations and recommendations for research are discussed.

To the best of the authors’ knowledge, this is the first study to test the association of managerial coaching and PIED with employee engagement and OCBO in a single model.

The purpose of this study is to provide a systematic review of the existing literature on social media (SM) use and examine its relationship with various facets of social well-being (SWB).

The study identifies and selects relevant articles using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, wherein 273 articles were identified using the keyword search criteria from 5 databases namely Web of Science, Emerald, Pubmed, Google Scholar and EBSCOhost, and finally, 20 relevant studies were included for this systematic review. In order to provide directions for future research, a thorough profile with the key findings and knowledge gaps is presented.

The majority of the reviewed studies report an increase in the use of SM, especially amongst adolescents, and this suggests a seriously detrimental impact on their SWB in terms of cyberbullying, lifestyle comparison and impact on self-esteem, substance abuse, declined academic performance, fear of missing out (FoMo) and social overload. However, some of the studies reported life satisfaction, a reduction in loneliness and improved social support and belongingness, particularly those focussing on old age people who experience social isolation. The review also affirmed improved job performance and employees’ well-being. These findings vary across various demographic variables and various SM platforms namely Facebook, Twitter, Instagram, WhatsApp, WeChat, YouTube, etc.

The findings have significant implications for SM researchers, family members and educators concerning promoting appropriate SM use, especially in terms of their SWB. The study also provides various suggestions for future studies and the need to further explore the topic as the field of SM use and SWB is ever-growing.

The main aim of carrying out this study was to measure the attitude of employees towards the adoption of information technology (IT)-based banking services among private sector banks of India.

Descriptive research methodology is used to accomplish the study using convenience sampling technique. The study is conducted in four private sector banks of India from Bikaner and Jaipur regions of Rajasthan. A questionnaire was developed based on five parameters, i.e. relative advantage, complexity, potential risk, strategic advantage in decision-making process and innovation and development to ascertain the attitude of the employees. The data are collected from 180 bank employees (executive, manager, officer) through structured questionnaire method out of which 129 employees replied to the questionnaire. Frequency percentage and ANOVA test is adopted as the statistical measure.

The study revealed that IT has led to increased customer satisfaction, improved operational efficiency, reduced transaction time, and gives the bank a competitive edge in reducing the running cost by quick responses in delivery of services.

A sample of only four private sector banks is taken into consideration.

The study is useful for the banking policy makers in terms of application of IT for spreading the reach of banking services to the mass.

This paper explores the use of IT-based banking services for research purposes on private banking. It will be of great value for researchers and professionals involved in IT-based banking services.

In a nutshell, the purpose of this paper is to accentuate the mask of evils of the organization by discussing different experiences, stories and cases, which is on itself a bizarre because we always talk about the morality and ethos in leading styles.

The study is conducted in India and descriptive in nature. The structural equation modelling technique is used in the paper to test the relationships among the constructs directly and indirectly by mediation effect on how it raises the organizational deviance.

The outcome of the study indicates that organizational deviance is highly influenced by narcissism, which also raises the toxic work culture and abusive supervision. The mentioned variables not only have a significant effect but also have a partial mediation effect on organizational deviance. The study significantly contributes to the literature with the findings that not only narcissism led to organizational deviance but additionally leads to high arousal through a positive relationship with toxic work culture and abusive supervision strongly leading to organizational deviance.

The study is for leaders who are more with self-love, demolishing peace and promoting the toxic work culture and deviant behaviours.

Having narcissistic traits then turns into a complicated situation for employees to decide whether to stay in the organization or leave, and if these intentions are not developing, then it led to deviance on the part of employees.

A leader becomes so much obsessed with their egomania and uses the abusive supervision to dominate the team members. This pattern has to stop, as it fabricating the wrong connotation of the tranquillity of followers or team members.

This study contributes to the outcome where leaders could understand the impact of how their excess self-love turns against the workplace peace and results in high deviance.

The purpose of this study is to monitor suspended particulate matter (SPM), PM2.5 and source apportionment study for the identification of possible sources during the year 2018–2019 at Raipur, India.

Source apportionment study was performed using a multivariate receptor model, positive matrix factorization (PMFv5.0) with a view to identify the various possible sources of particulate matter in the area. Back-trajectory analysis was also performed using NOAA-HYSPLIT model to understand the origin and trans-boundary movement of air mass over the sampling location.

Daily average SPM and PM2.5 aerosols mass concentration was found to be 377.19 ± 157.24 µg/m³ and 126.39 ± 37.77 µg/m³ respectively. SPM and PM2.5 mass concentrations showed distinct seasonal cycle; SPM – (Winter ; 377.19 ±157.25 µg/m?) > (Summer; 283.57 ±93.18 µg/m?) > (Monsoon; 33.20 ±16.32 µg/m?) and PM2.5 – (Winter; 126.39±37.77 µg/m³) > (Summer; 75.92±12.28 µg/m³). Source apportionment model (PMF) have been applied and identified five major sources contributing the pollution; steel production and industry (68%), vehicular and re-suspended road dust (10.1%), heavy oil combustion (10.1%), tire wear and brake wear/abrasion (8%) and crustal/Earth crust (3.7%). Industrial activities have been identified as major contributing factor for air quality degradation in the region.

Chemical characterization of aerosols and identification of possible sources will be helpful in abatement of pollution and framing mitigating strategies. It will also help in standardization of global climate model.

The findings provide valuable results to be considered for controlling air pollution in the region.

This paper aims to compare the performance, emission and combustion characteristics of E20 biodiesel with diesel-water emulsion and eucalyptus water emulsion.

This research expounds the trans-esterification process apparently. Various biodiesel blends were made to go through the trans-esterification process to make it suitable for feeding them into the low heat rejection (LHR) engine. E20 biodiesel – 20% of eucalyptus oil by volume with diesel was chosen to carry out the research as it was found to be the best blend with diesel. The volume of water content in diesel water emulsions was varied by 5, 10 and 15% in DWM1 (Diesel Water Mixture1), DWM2 (Diesel Water Mixture2) and DWM3 (Diesel Water Mixture3), respectively. Similarly, the volume of water content in eucalyptus water emulsions was varied with emulsification ratio of E20 biodiesel. Partially stabilized zirconia was coated over top surface of the piston and valve facing of the LHR engine.

From the researches carried out, DWM3 (Diesel Water Mixture3) was found to be superior when compared with other diesel-water emulsions in LHR engine. The overall efficiency was found to be higher for EWM3 than other biofuels tested the in LHR engine.

This investigational experiment can be further extended to multi-cylinder engine and to improve the cetane number, Di ethyl ester (DEE) fuel additives can be added.

The textile sector is one of the sectors where competition is intense and requires the production of high-value-added products. This study aims to conduct patent analysis to find the technology status, recent trends, applications and technological evaluations of protective textile technologies in practice.

More than 36,840 patent documents related to protective textile technologies are available for researchers, patent examiners and patent researchers. Patent analysis is conducted to report the technology status, recent trends and applications of protective textile technologies. This analysis provides insights into the possible future directions of protective textile technologies in practice. Additionally, association rule mining (ARM) is performed to find the hidden patterns among protective textile technologies.

The development of protective textile technologies is revealed by the technology evaluation in this study. In addition, the sub-technology classes affecting protective textile technologies are examined using the cooperative patent classification (CPC) codes of the patent documents. Technology status and recent trends of protective textile technologies are provided in detail. The results of this study show that (1) protective textile technologies are constantly being developed, (2) the working areas of medical protective textiles are increasing, (3) there are frequent studies on fabric structures for saving lives within the framework of human needs and (4) there are four technology classes, namely A41D, Y10T, B32B and A62B impacting the other technology classes related to textile technologies such as D10B, Y10T, F41H, A62D, D04H, Y10S and D10B.

To have a competitive advantage in the marketplace, evaluation of textile technologies is critical in developing “functionalized” and “technologized” textile products. In particular, evaluating technologies in developing protective textile products is extremely important to meet customer demands and present competitive products in the market. Examining these patents for technology developers, decision-makers and policymakers is an urgent and necessary job. However, studies examining the development of protective textile technologies with patent analysis are very limited in the literature. To fill this gap, technology status, recent trends and applications of protective textile technologies are reported based on patent analysis and ARM in this study.