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Dissimilar joining of austenitic stainless steels and ferritic steels is a challenging task and has a wide range of applications due to its excellent mechanical and thermal characteristics. They are joined mostly by using conventional modes. In the current investigation, the study and optimization of hot wire TIG welding parameters was carried out.

These parameters will govern the desired characteristics of the joint. Solutions were found out through multi-response optimization by using response surface methodology and single response optimization using particle swarm optimization.

Optimized input welding parameters that were achieved are electrode current 180 amps, wire feed rate 1870 mm/min and hot wire current 98 amps and the optimized UTS is 665.45 MPa. The results from PSO were compared with RSM and the optimized input welding parameters for the electrode current, hot wire current and wire feed rate exhibited maximum ultimate tensile strength which were also confirmed from response and contour plots.

Sensitivity analysis was also performed to understand the effect of each individual parameters on the response. Microstructure features were evaluated for the joints and was found that the characteristics are within the desired criteria.

Workplace stress costs £3.7bn per annum in the UK and in excess of $300bn per annum in the USA. The purpose of this paper is to examine the existence, strength and direction of relationships between perceptions of social support, work–life conflict, job performance and workplace stress in an Irish higher education institution.

The selected theoretical framework consisted of a combination of reward imbalance theory, expectancy theory and equity theory. An organizational stress screening survey instrument was used to survey the staff (n = 1,420) of an academic institution. Multiple linear regression analysis was used to evaluate the relationships between the independent variables (social support, work–life conflict, job performance), the covariates (staff category, direct reports, age, gender), and the dependent variable (workplace stress).

The results showed a negative correlation between social support and workplace stress, a positive correlation between work–life conflict and workplace stress, and a negative correlation between job performance and workplace stress (p < 0.05). The results also revealed significant relationships between the covariates direct reports and gender and the dependent variable workplace stress.

The findings from this research can trigger an organizational approach where educational leaders can enable workplace change by developing and implementing social support and work–life strategies, and potential pathways to reduce levels of workplace stress and improve quality of life for employees and enhance performance.

The examination and establishment of particular relationships between social support, work–life conflict and job performance with workplace stress is significant for managers.

This paper focusses on the roles and experiences of the human resource managers and safety, health and environment managers in promoting environmental sustainability in automobile industry.

The exploration uses the data generated from ten in-depth interviews with human resource managers as well as safety, health and environment (SHE) managers from three automobile companies.

Three main themes were derived from the inductive analysis in support of environmental sustainability. They comprised environment-oriented perspectives, green human resource management (HRM) practices and supportive mechanisms. These findings served as insights for the HR managers who played a supportive role in environment sustainability. This study also found that Green HRM practices within the automobile industry were confined to green training and development, green rewards, green employee involvement and green orientation.

The outcome of this study carries implications for managers and businesses in designing a more sophisticated framework for Green HRM practices for their companies so as to achieve a more progressive sustainable goal. For instance, HR managers who are environment-oriented can play a more active role in environmental sustainability. They can participate directly in developing policies by co-partnering with their SHE colleagues. They can encourage and motivate their employees to apply green practices both at work and in their homes. This integration would eventually create a cascading effect that could reduce the industry's negative impact on environment, thereby developing a more environmentally-friendly society.

This study provided practical implications for both the HR and SHE managers in taking up responsibilities in environmental sustainability. This study also indicated the practical implications for the top management in the automobile industry, especially in the designing of the environmental sustainability framework.

This study contributes to the Green HRM area by understanding and comparing the roles of the HR managers and their counterpart, the SHE managers, in support of environmental sustainability. The comparison would provide a clearer picture on how the implementation of Green HRM can be implemented within the automobile industry.

The purpose of this chapter is to assess the social significance of digital technologies for researching and understanding active women's bodies, identities, practices, and politics. In critically surveying the rapidly expanding body of literature on women's social media use for sport and physical activity, the chapter highlights the multidisciplinary nature of much of this work and its feminist and social justice orientation toward understanding the uneven impacts of platformed engagement for women, particularly those who are socially marginalized.

The chapter synthesizes the current literature to identify feminist and sociological approaches to analyzing sporting women's social media use. It draws on the authors' own research as case study illustrations of key developments.

Findings identify opportunities and challenges for women navigating the complexities of social media encounters in their sporting and physical cultural lives, focusing on self-presentation, branding and digital labor, community-building, and activism. It proposes theoretical, methodological, and ethical directions for sociological interventions in this area of study.

Future research should investigate the rapidly evolving digital landscape, issues of social justice and marginalized voices, and the social conditions that sustain gender inequalities in sport and social media spaces.

The chapter contributes original insights on emerging directions in the study of women, sport, and social media. Furthermore, it addresses the challenges for social researchers responding to the uptake of new social media platforms by female athletes and physically active women.

The mischievous nodes that defy the standard corrupt the exhibition of good nodes considerably. Therefore, an intrusion discovery mechanism should be included to the mobile ad-hoc network (MANET). In this paper, worm-hole and other destructive malignant attacks are propelled in MANET.

A wireless ad-hoc network also called as mobile ad-hoc network (MANET) is a gathering of hubs that utilizes a wireless channel to exchange information and coordinate together to establish information exchange among any pair of hubs, without any centralized structure. The security issue is a major difficulty while employing MANETs.

Consequently, the attacks due to the malicious node activity are detected using Hybrid Reactive Search and Bat (HRSB) mechanism to prevent the mischievous nodes from entering the network beneath the untruthful information. Moreover, the attack detection rate and node energy are predicted for determining the lifetime of the node.

The simulation outcomes of the proposed HRSB technique are evaluated with the prevailing methods. The comparison studies have proven the efficacy of the current research model by attaining high attack detection rate and achieving more network lifetime.

This study aims to investigate the criteria to measure and manage a software project’s quality indicator elements needed to implement system integration in the Industry 4.0 era.

The standard software process model SPICE: a crucial part of the system integration software development process, is analyzed to explore how the factors of the SPICE model rate qualitatively on the quality scorecard (QSC). QSC is a qualitative performance measurement model based on the cost of quality (COQ) perspective. The SPICE model’s effectiveness is examined in terms of system integration (SI) quality, and factors for improving this quality are determined.

The authors proposed future directions for improving SI management. The seven SPICE process groups were analyzed comparatively by matching them to the QSC. The SPICE model was found to achieve 63% with the required factors in QSC. Also, the uncommitted items indicated need to be considered for additional management in SI quality.

Since SPICE is revised every five years, it is suggested from this study that diagnosing the assessment items from the COQ perspective using QSC is one strategy to quickly enhance the quality of SI management in this rapidly changing technology revolution.

This research is the first study of its kind, proposing a methodology for adapting quickly to the Fourth Industrial Revolution’s changes and showing how the standards have changed the SPICE model over time.

Drawing on goal-setting theory and team effectiveness theory, the study aims to examine the impact of agile taskwork and agile teamwork on team performance. In addition, it investigates the mediating effect of project commitment on the impact of agile taskwork and agile teamwork on team performance. Furthermore, the study also tests the moderating role of career level on the impact of agile taskwork and agile teamwork on team performance.

Survey data were collected from 563 employees working in 290 information technology (IT) companies in India using a self-reporting structured questionnaire. Partial least squares path modeling was used to test the hypothesized model, and the Process macro was used to test the moderating effect.

The results show that agile taskwork and agile teamwork positively affect team performance and project commitment, and project commitment positively impacts team performance. Furthermore, project commitment fully mediates the relationship between agile taskwork and team performance and partially mediates the relationship between agile teamwork and team performance. Furthermore, the career level negatively moderates the impact of agile taskwork and agile teamwork on team performance.

The study shows the importance of agile work practices and project commitment to enhance team performance. Thus, the study provides managers with two strategies to improve their team performance.

There is a scarcity of research examining the distinct effects of agile taskwork and agile teamwork on team performance and the mediating role of project commitment in these relationships. Furthermore, as per the empirical evidence, no previous research has empirically examined the moderating role of career level in the agile taskwork-team performance and agile teamwork-team performance relationships.

Majority of the research work either concentrated on the optimization of scheduling length and execution cost or energy optimization mechanism. This research aims to propose the optimization of makespan, energy consumption and data transfer time (DTT) by considering the priority tasks. The research work is concentrated on the multi-objective approach based on the genetic algorithm (GA) and energy aware model to increase the efficiency of the task scheduling.

Cloud computing is the recent advancement of the distributed and cluster computing. Cloud computing offers different services to the clients based on their requirements, and it works on the environment of virtualization. Cloud environment contains the number of data centers which are distributed geographically. Major challenges faced by the cloud environment are energy consumption of the data centers. Proper scheduling mechanism is needed to allocate the tasks to the virtual machines which help in reducing the makespan. This paper concentrated on the minimizing the consumption of energy as well as makespan value by introducing the hybrid algorithm called as multi-objective energy aware genetic algorithm. This algorithm employs the scheduling mechanism by considering the energy consumption of the CPU in the virtual machines. The energy model is developed for picking the task based on the fitness function. The simulation results show the performance of the multi-objective model with respect to makespan, DTT and energy consumption.

The energy aware model computes the energy based on the voltage and frequency distribution to the CPUs in the virtual machine. The directed acyclic graph is used to represent the task dependencies. The proposed model recorded 5% less makespan compared against the MODPSO and 0.7% less compared against the HEFT algorithms. The proposed model recorded 125 joules energy consumption for 50 VMs when all are in active state.

This paper proposed the multi-objective model based on bio-inspired approach called as genetic algorithm. The GA is combined with the energy aware model for optimizing the consumption of the energy in cloud computing. The GA used priority model for selecting the initial population and used the roulette wheel selection method for parent selection. The energy model is used as fitness function to the GA for selecting the tasks to perform the scheduling.

The purpose of this paper is to investigate the applicability of cloud computing (CC) and the challenges that contribute to more successful projects with a major sustainable construction development.

The previous studies provided information on CC implementation barriers, which were then evaluated by 104 construction stakeholders through a questionnaire survey. As a result, the exploratory factor analysis (EFA) approach was used to investigate these barriers. Furthermore, a partial least square structural equation model was used to build a model of these barriers (PLS-SEM).

The EFA results revealed that the above-noted factors are in a close relation with three key components, i.e. social, economic and communication. In addition, the proposed model results found the social barrier a key challenge to the implementation of CC.

The results from this study can help decision-makers to improve the approaches regarding data fragmentation that has great effects on the execution of all construction projects. The focus of the paper is to enhance the data fragmentation processes. In addition, the results would be useful to strengthen the sustainability of existing construction projects by enhancing the implementation of CC.

The novelty of this research work will provide a solid foundation for critically assessing and appreciating the different barriers affecting the adoption of CC.

The purpose of this paper is to review and explore the evolution, advances and future trends of cloud manufacturing, placing the focus on the quality of services. Moreover, moving toward the new trend of cyber-physical systems (CPS), a cloud-based cyber-physical system (CBCPS) is proposed combining the key enabling techniques of this decade, namely Internet of Things (IoT), cloud computing, Big Data analytics and CPS.

First, an extensive review is made on cloud computing and its applications in manufacturing sectors, namely product development, manufacturing processes and manufacturing systems management. Second, a conceptual CBCPS which combines key enabling techniques including cloud computing, CPS and IoT is proposed. Finally, a review on the quality of the services (QoS) presented in the second step, along with the main security issues of cloud manufacturing, is conducted.

The findings of this review indicate that the combination of the key enabling techniques presented in the CBCPS will lead to a new manufacturing paradigm capable of facing the new challenges and trends. The opportunities, as well as the challenges and barriers of the proposed framework are presented, concluding that the transition into this whole new era of networked computing and manufacturing has a valuable impact, but also generates several security and quality issues.

The paper is the first to specifically study the QoS as a factor in the proposed manufacturing paradigm.