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Stress is the most common emotional or mental state that employees experience during their work. The employees in academics and industry are facing increased levels of stress as they progress through their work. The study aims to investigate the relationship between academic and industry employees’ stress personalities. West Coast psychological consultants Mary Dempcy and Rene Tihista distinguish between the seven various types of stress and offer suggestions to deal with it.

In this study, the authors have built a survey questionnaire using a sample of 195 respondents from the industry and academic of North India and analysed their responses to find their stress personalities at work. The Independent sample t-test approach has been applied to analyse the employee stress personality.

The study finds out that stress is a sophisticated defence mechanism that is unique to each individual and varies depending on the environment. Using employee response of academic and industry, the study covers the essence of seven types of stress for individuals, and that lent good support to the framed hypothesis.

These seven types of stress have importance and different levels to knowing their appropriateness to the individuals and suggest to take necessary action of plan. It shows the individuals feel about stress, how the bodies react to it and how to cope with it are all indicators of the personalities, attitudes and adaptability.

The novelty of this study is to apply Mary Dempcy and Rene Tihista’s stress personalities compared with the two respective categories.

The purpose of this paper is to propose distributed learning-based three different metaheuristic algorithms for the identification of nonlinear systems. The proposed algorithms are experimented in this study to address problems for which input data are available at different geographic locations. In addition, the models are tested for nonlinear systems with different noise conditions. In a nutshell, the suggested model aims to handle voluminous data with low communication overhead compared to traditional centralized processing methodologies.

Population-based evolutionary algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and cat swarm optimization (CSO) are implemented in a distributed form to address the system identification problem having distributed input data. Out of different distributed approaches mentioned in the literature, the study has considered incremental and diffusion strategies.

Performances of the proposed distributed learning-based algorithms are compared for different noise conditions. The experimental results indicate that CSO performs better compared to GA and PSO at all noise strengths with respect to accuracy and error convergence rate, but incremental CSO is slightly superior to diffusion CSO.

This paper employs evolutionary algorithms using distributed learning strategies and applies these algorithms for the identification of unknown systems. Very few existing studies have been reported in which these distributed learning strategies are experimented for the parameter estimation task.

Present research analyzes and evaluates the impact of e-resources usage factors (training modes, awareness, influencers, utilitarian benefits and ease of use) towards satisfaction and intention to use these e-resources.

The data for present study were collected from postgraduate students of Delhi (India) and 248 valid responses were received through the survey. After reliability and validity tests, structural relationships between variables were studied.

The present study revealed that all five factors significantly affected satisfaction and intention to use e-resources. However, influencers were found to have the highest impact on satisfaction and intention to use e-resources.

The present study is a maiden attempt to explore the impact of e-resources usage factors on satisfaction and intention to use by postgraduate students at management schools in Delhi, India.

The purpose of this paper is to analyse service quality in the automobile maintenance and repair industry. A conceptual structural model is developed to investigate the impact of service quality, perceived service fairness and convenience on customer service satisfaction. The impact of service satisfaction and brand trust on word of mouth (WOM) is also explored, and the study assesses the mediating effect of customer service satisfaction on the relationship between service quality and WOM.

Data from a questionnaire-based survey of 259 users of automobile maintenance and repair centres were analysed using covariance-based structural equation modelling.

The findings indicate that service quality dimensions (reliability, responsiveness and empathy), perceived service fairness and convenience are positively associated with customer service satisfaction, and that service satisfaction and trust positively influence WOM. The findings support the mediating effect of service satisfaction on the relationship between reliability and responsiveness and WOM.

The study’s main limitation is the cross-sectional design, which limits the generalisability of the findings.

To ensure customer satisfaction and generate trust and WOM, automobile maintenance and repair service centres should improve reliability, responsiveness and empathy, as well as perceived service fairness and convenience.

The study demonstrates that the reliability and responsiveness dimensions of service quality are the most significant predictors of customer service satisfaction in the automobile maintenance and repair industry.

Health care organisations implement lean six sigma (LSS) methodology to achieve improved performance in terms of cost, quality and productivity. However, the way it gets implemented differs between organisations. Hence, this paper deal with a review of case studies describing the implementation of LSS in health care organisations to understand the nuances of implementation and identify future research directions.

The journal articles indexed in the Web of Science and Scopus database were filtered out. In total, 154 articles were evaluated using specific structural dimensions to categorise the literature into various groups, and content analysis was performed to synthesise the same.

This review revealed that the number of articles publishing the application of LSS in health care has been increasing in the last five years. Academic hospitals play a pivotal role to bridge the gap between LSS theory and practice. Despite this fact, certain themes remain unexplored. Not many studies are available that document the application of LSS in non-clinical areas such as pharmacy, internal logistics, maintenance and medical records. Only 20% of articles mentioned the post-intervention data up to three years, thus questioning the sustainability aspect of the achieved improvements.

Various research gaps were identified, which can be used by the researchers to build the body of knowledge in the domain of LSS in health care.

This review provides a diversified view regarding the utility of LSS in the health care scenario. The findings will provide valuable insights for the health care practitioners regarding tools, techniques, drivers and performance measures.

To the best of the authors’ knowledge, this is the first study to review only the case studies that describe the implementation of LSS in the health care sector.

This paper aims to assess the relationship between academic burnout-student engagement relationships on management students of the Delhi-NCR region of Northern India. It further attempts to study the moderating impact of internal locus of control and mediating impact of loneliness on the academic burnout-student engagement relationship.

The data was collected using standardized instruments from 264 respondents. Descriptive statistics, correlation and moderated-mediated regression analysis were used to test the hypotheses.

The study found a negative association between student engagement and academic burnout and loneliness. A positive association between academic burnout and loneliness and a moderating impact of internal locus of control on academic burnout and student engagement relationship. Loneliness acted as a partial mediator for the moderated relationship between the academic burnout-student engagement relationship.

Sample size and sampling units are the limitations of the study.

The conclusion of the presented study offers different inferences including validating the self-determination theory (Ryan and Deci, 2000) and possible courses of actions to be taken by academic institutions and students themselves. It ranges from careful investigation of student’s behaviors, design and implements collaborative projects along with student’s involvement in social networking based groups for collaborations and help.

With the help of the study, the society including parents, family, friends, officials and academicians at educational institutions can offer useful insights to students through recreational and social activities for behavior modifications.

The major contribution of the study is to understand the psyche of the budding professionals perceiving increased stress and pressure. Limited studies are found in the Indian context and no studies in the past have used the study variables together. Internal locus of control as a personality variable has not been studied with respect to student’s burnout and engagement. Furthermore, none of the studies done in the past have deliberated upon loneliness with respect to the student community.

This work is proposed for low power energy-efficient applications like laptops, mobile phones, and palmtops. In this study, P-channel metal–oxide–semiconductor (PMOS)’s are used as access transistor in 7 transistors (7 T) Static Random Access Memory (SRAM) cell, and the theoretical Static Noise Margin (SNM) analysis for the proposed cell is also performed. A cell is designed using 7 T which consists of 4 PMOS and 3 NMOS. In this paper write and hold SNM is addressed and read SNM is also calculated for the proposed 7 T SRAM cell.

The authors have replaced N-channel metal–oxide–semiconductor (NMOS) access transistors with the PMOS access transistors, which results in proper data line recovery and provides the desired coupling. An error is likely to occur, if the read operation is performed too often probably by using the NMOS pass gate. It results in an improper recovery of the data line. Instead, by using PMOS as a pass gate, the time required for read operation can be brought down. As we know the mobility (µ) of the PMOS transistor is low, so the authors have used this property into the proposed design. When a low signal is applied to its control gate, the PMOS transistor come up with the desired coupling, when working as a pass gate.

Feedback switched transistor is used in the proposed circuit, which plays an important role in the write operation. This transistor is in OFF state and PMOS’s work as access transistor, when the proposed cell operating in read mode. This helps in the reduction of power. This work is simulated using UMC 40 nm technology node in the cadence virtuoso environment. The simulated result shows that, write power saving of 51.54% and 61.17%, hold power saving of 25.68% and 48.93% when compared with reported 7 T and 6 T, respectively.

The proposed 7 T SRAM cell provides proper data line recovery at a lower voltage when PMOS works as the access transistor. Power consumption is very less in this technique and it is best suitable for low power applications.

In complementary metal-oxide-semiconductor (CMOS) logic circuits, there is a direct square proportion of supply voltage on dynamic power. If the supply voltage is high, then more amount of energy will be consumed. Therefore, if a low voltage supply is used, then dynamic power will also be reduced. In a mixed signal circuit, there can be a situation when lower voltage circuitry has to drive large voltage circuitry. In such a case, P-type metal-oxide-semiconductor of high-voltage circuitry may not be switched off completely by applying a low voltage as input. Therefore, there is a need for level shifter where low-voltage and high-voltage circuits are connected. In this paper the multi-scaling voltage level shifter is presented which overcomes the contention problems and suitable for low-power applications.

The voltage level shifter circuit is essential for digital and analog circuits in the on-chip integrated circuits. The modified voltage level shifter and reported energy-efficient voltage level shifter have been optimally designed to be functional in all process voltage and temperature corners for VDDH = 5V, VDDL = 2V and the input frequency of 5 MHz. The modified voltage level shifter and reported shifter circuits are implemented using Cadence Virtuoso at 90 nm CMOS technology and the comparison is made based on speed and power consumed by the circuit.

The voltage level shifter circuit discussed in this paper removes the contention problem that is present in conventional voltage level shifter. Moreover, it has the capability for up and down conversion and reduced power and delay as compared to conventional voltage level shifter. The efficiency of the circuit is improved in two ways, first, the current of the pull-up device is reduced and second, the strength of the pull-down device is increased.

The modified level shifter is faster for switching low input voltage to high output voltage and also high input voltage to low output voltage. The average power consumption for the multi-scaling voltage level shifter is 259.445 µW. The power consumption is very less in this technique and it is best suitable for low-power applications.

Electric cars (EC) adoption represents a strategic action aimed at promoting environmental sustainability. Although Millennials and Gen Z represent the greatest potential market for EC, their adoption remains low; thus, this study focused on examining the role of motive in predicting EC adoption intention within these two generations’ population. Built upon the fundamental motive framework, this research explores the motives that lead to EC adoption intention. Subsequently, this study aims to examine the role of performance expectancy as the mediating variable and EC attributes beliefs as the moderating variable that can promote EC adoption intention.

Both exploratory and confirmatory methods were used in this investigation. Using an exploratory approach, this research explores the fundamental motives and the attributes of EC that influence EC adoption intention. Using a confirmatory approach, this research tests the mediating role of performance expectancy. To collect the data, an online survey was administered to 260 young consumers in Indonesia.

The results of PLS-SEM analysis from the data revealed that self-protection, kin-care, status and affiliative motives influence EC adoption. Furthermore, performance expectancy mediates the relationship between self-protection, mate acquisition, affiliative motives and EC adoption intention. Among EC attributes, the short-haul performance strengthens the indirect relationship between affiliative motive and EC adoption intention.

The main limitation of this study is that it only focuses on the practical attributes of EC, whereas psychological attributes that were found to be more influential in consumer’s purchase decisions were not examined.

Marketers need to explore EC attributes that can strengthen the relationship between consumers’ motives and EC adoption intention by increasing consumers’ evaluation of performance expectancy. In this study, marketers can promote short-haul performance, as it will lead to EC adoption for consumers with affiliative motives.

This study ties together two lines of research on the adoption of EC, exploring EC attributes and examining consumers’ motivation to choose EC, especially Millennials and Gen Z. In this way, EC attributes facilitate the fulfillment of consumers’ needs and promote EC adoption intention.

This paper aims to describe how Birla creates a strong pipeline of people who are ready to lead the organization in the future.

It explains the origins of the group’s global-manufacturing leadership program (GMLP), the form it takes and the results it has achieved.

It reveals that the program aims to shape the manufacturing leaders of tomorrow through exposing them to world-class technologies and processes, state-of-the-art research and continuous learning and development opportunities.

It reveals that of the five GMLP candidates recruited in 2011, three have become independent unit heads, one in China and two in India.

It outlines the company belief that retaining and developing the skills of its existing workforce is at least as important as importing new talent when faced with increasing competition and growing pressure to cut costs in its main markets.

It demonstrates that the program is designed to ensure that each participant is able to understand and anticipate customer needs, influence colleagues without too openly expressing authority and develop and communicate the company’s long-term vision.