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The purpose of this paper is to compile a comprehensive status report on pipes/piping networks across different industrial sectors, along with specifications of materials and sizes, and showcase welding avenues. It further extends to highlight the promising friction stir welding as a single solid-state pipe welding procedure. This paper will enable all piping, welding and friction stir welding stakeholders to identify scope for their engagement in a single window.

The paper is a review paper, and it is mainly structured around sections on materials, sizes and standards for pipes in different sectors and the current welding practice for joining pipe and pipe connections; on the process and principle of friction stir welding (FSW) for pipes; identification of main welding process parameters for the FSW of pipes; effects of process parameters; and a well-carved-out concluding summary.

A well-carved-out concluding summary of extracts from thoroughly studied research is presented in a structured way in which the avenues for the engagement of FSW are identified.

The implications of the research are far-reaching. The FSW is currently expanding very fast in the welding of flat surfaces and has evolved into a vast number of variants because of its advantages and versatility. The application of FSW is coming up late but catching up fast, and as a late starter, the outcomes of such a review paper may support stake holders to expand the application of this process from pipe welding to pipe manufacturing, cladding and other high-end applications. Because the process is inherently inclined towards automation, its throughput rate is high and it does not need any consumables, the ultimate benefit can be passed on to the industry in terms of financial gains.

To the best of the authors’ knowledge, this is the only review exclusively for the friction stir welding of pipes with a well-organized piping specification detailed about industrial sectors. The current pipe welding practice in each sector has been presented, and the avenues for engaging FSW have been highlighted. The FSW pipe process parameters are characteristically distinguished from the conventional FSW, and the effects of the process parameters have been presented. The summary is concise yet comprehensive and organized in a structured manner.

Smartphone apps collect users' personal information, which triggers privacy concerns for app users. Consequently, app users restrict apps from accessing their personal information. This may impact the effectiveness of in-app advertising. However, research has not yet demonstrated what factors impact app users' decisions to use apps with restricted permissions. This study is aimed to bridge this gap.

Using a quantitative research method, the authors collected the data from 384 app users via a structured questionnaire. The data were analysed using AMOS and fuzzy-set qualitative comparative analysis (fsQCA).

The findings suggest privacy concerns and risks have a significant positive effect on app usage with restricted permissions, whilst reputation, trust and perceived benefits have significant negative impact on it. Some app-related factors, such as the number of apps installed and type of apps, also impact app usage with restricted permissions.

Based on the findings, the authors provided several implications for app stores, app developers and app marketers.

This study examines the factors that influence smartphone users' decisions to use apps with restricted permission requests. By doing this, the authors' study contributes to the consumer behaviour literature in the context of smartphone app usage. Also, by explaining the underlying mechanisms through which the principles of communication privacy management theory operate in smartphone app context, the authors' research contributes to the communication privacy management theory.

The present study was designed to explore the major challenges being faced by the Indian nurses' pre-post pandemic period affecting their well-being (WB) and identify factors that motivated them to perform their service wholeheartedly during the pandemic. The study also tries to bridge the gap in the study area by providing various ways that can help maintain the WB of health care professionals.

A descriptive exploratory qualitative design involving semi-structured interviews was conducted during December–January 2021 with 30 nurses from hospitals in Punjab Qualitative and thematic data analysis technique were adopted. In addition, a literature review was also conducted to study the various factors that affect the WB of health care professionals.

There are various themes and subthemes that were identified by the health care professionals, such as (1) psychological WB, (2) social WB and (3) workplace WB and (4) key motivators. This research work has identified various managerial implications that can play a huge rolein strengthening the healthcare sector of the entire world economy, paving the way toward the better WB of healthcare professionals (HCPs).

Firstly, it is probably the only study that is performed on nursing staff to evaluate their personal experiences during crucial times. It has successfully compared the factors affecting WB pre- and post-pandemic, leading to the emergence of many new factors that have originated due to the pandemic and are the cause of the poor WB of HCPs (Figures 2, 4). Secondly, it is the only study that targeted only those nurses who have provided their services in both scenarios. Finally, the study has been a pioneer in identifying the importance of maintaining the WB of HCPs at hospitals.

The purpose of the study is to analytically as well as numerically investigate the weight of throughflow on the onset of Casson nanofluid layer in a permeable matrix. This study examines both the marginal and over stable kind of convective movement in the system.

A double-phase model is used for Casson nanofluid, which integrates the impacts of thermophoresis and Brownian wave, whereas for flow in the porous matrix the altered Darcy model is occupied under the statement that nanoparticle flux is disappear on the boundaries. The resultant eigenvalue problem is resolved analytically as well as numerically with the help of Galerkin process with the Casson nanofluid Rayleigh–Darcy number as the eigenvalue.

The findings revealed that the throughflow factor postpones the arrival of convective flow and reduces the extent of convective cells, whereas the Casson factor, the Casson nanoparticle Rayleigh–Darcy number and the reformed diffusivity ratio promote convective motion and also decrease the extent of convective cells.

Controlling the convective movement in heat transfer systems that generate high heat flux is a real mechanical challenge. The proposed framework proved that the use of throughflow is one of the most important ways to control the convective movement in Casson nanofluid. To the best of the authors’ knowledge, no inspection has been established in the literature that studies the outcome of throughflow on the Casson nanofluid convective flow in a porous medium layer. However, the convective flow of Casson nanofluid finds many applications in improving heat transmission and energy efficiency in a range of thermal systems, such as the cooling of heat-generating elements in electronic devices, heat exchangers, pharmaceutical practices and hybrid-powered engines, where throughflow can play a significant role in controlling the convective motion.

This paper aims to analyze the time-varying dynamic connectedness among environmental, social and governance (ESG)-compliant firms, Fintech-based firms and artificial intelligence (AI) firm’s stocks.

To examine the spillover from globally leading companies that systematically follow ESG reporting and standards into their financial books to top AI-based and Fintech-based companies, we use the daily observation extending from December 31, 2019 to October 9, 2023. For the empirical investigation, Diebold and Yilmaz (2012) model and Baruník and Křehlík (2018) model are employed.

An intriguing observation is found for both recipient and transmission as Northrop Grumman remains the least shock transmitter and receiver among all constituent markets irrespective of two different used models. On this note, Northrop Grumman can be classified among the safest stock comparatively which has to be held in short, medium and long run to mitigate the risk.

After extensive existing literature review and to the best of the authors knowledge, it is a novel study that examines the dynamic connectedness among ESG, Fintech and AI stocks covering two unprecedented events like the COVID-19 outbreak and the Russia–Ukraine invasion.

This study combines different perspectives on herding, viewing it as a social network heuristic in comparison to other heuristics. The purpose is to use the heuristic view of herding as found in early literature and test it on grounds of efficiency and payoff, in essence, combining the heuristic and rational agent view of herding. The simulated double auction setting includes agents embedded in a social network, allowing for an examination of herding alongside rational behaviour and imperfect signals.

In each round of the simulation, levels of homophily, density and fractions of types of agents is set and agents are allowed to follow their respective heuristics under those conditions. Characteristics of the social network, such as the size, levels of different homophilies, density and fractions of different types of agents are varied randomly to gauge their effect on the performance of herders vis-à-vis others and the overall market efficiency through simulation based approach. The data used for the study has been developed in Python and linear models are estimated using R.

Herding decreases total surplus in private value double auctions, but herders are not worse off than other agents and perform equally in common value auctions. Further, herders and random offerers reduce payoffs of other agents as well, and herding effects the surplus per transaction and not the quantum.

This study explores herding as a strategic behaviour coexisting with rationality and other strategies in specific circumstances. It presents intriguing findings on the impact of herding on individual outcomes and market efficiency, raising new avenues for future research. Implication to research includes a dent on the “sieve” argument of markets rooting out irrationality and from it, a policy implication that follows is the need for corrective measures as markets cannot self-correct this, given herders do not perform worse than others.

The study links the phenomenon of herding to the dynamics of social networks and heuristic-based learning mechanisms that sets apart this research from the majority of existing literature, which predominantly conceptualizes herding as an outcome derived from a perfect Bayesian Equilibrium and a rational learning process.

The study aims to explore dynamic capabilities such as innovation, entrepreneurial leadership, absorptive capability, and the dimension of entrepreneurial orientation in the handicraft sector to enhance supply chain resilience and innovation during unprecedented times. This study also used innovation as a mediating construct and supply chain orientation as a moderating construct.

We gathered data from the handicraft sector in the Uttar Pradesh (UP) in India using a pretested questionnaire. We used variance-based partial least squares structural equation modelling (PLS-SEM) to test our research hypotheses.

Our study indicates that to enhance innovation and improve supply chain resilience, firms should focus on developing dynamic capabilities such as entrepreneurial leadership, absorptive capacity, artificial intelligence (AI), innovativeness, risk-taking ability, and protectiveness. The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk.

This study provides significant insights into the current understanding of dynamic capability theory and supply chain orientation and expands upon the existing literature in this field. It comprehensively analyses the latest research and advances knowledge in this area.

The purpose of this paper is to examine the connectedness among Memecoin, Halal exchange traded funds (ETF) and environmental, social and governance (ESG) indexes in different quantiles.

The authors consider Dogecoin to measure Memecoin while Wahed FTSE USA Shariah ETF (HLAL) and SP Funds S&P 500 Sharia Industry Exclusions ETF (SPUS) are used to represent Halaf ETF. Similarly, iShares ESG Aware MSCI USA ETF (ESGU) and Vanguard ESG US Stock (ESGV) proxy the ESG index ETF. The daily price of these examined markets is considered from January 2, 2020, to January 18, 2024. The quantile vector autoregression is deployed for the empirical computation.

The result reveals that Memecoin (Dogecoin) emerges as the best diversifier irrespective of various quantiles because it is least connected in terms of recipient and transmission of shock. In addition, the authors observe an intriguing observation that the total connectedness in higher quantile is large, followed by lower quantile.

This study is undertaken considering the novelty in the form of the proxies of examined markets along with natural outbreak (COVID-19) and man-made outbreak (Russia–Ukraine invasion) periods.

Gender discrimination exists in various settings globally and harms women’s mental health. This study aims to understand the impact of gender discrimination on hopelessness and emotional vulnerability. Further, we attempted to determine whether benevolent childhood experiences (BCEs) moderate the relationships of gender discrimination with hopelessness and emotional vulnerability.

Data from 445 young women from India was gathered from a cross-sectional survey. Measures included gender discrimination inventory, Beck’s hopelessness inventory, emotional vulnerability scale and BCE scale.

Results yielded a significant positive association of gender discrimination with hopelessness and emotional vulnerability. BCEs were negatively related to hopelessness, emotional vulnerability and gender discrimination. Further, gender discrimination predicted increased feelings of hopelessness and emotional vulnerability. However, BCEs do not neutralize the effect of gender discrimination.

It is evident from this study that gender discrimination exists independent of socioeconomic class, domicile and educational qualification, taking a toll on women’s well-being and mental health. Incorporating attitudinal changes at the community and societal level in reducing gender norms responsible for negative outcomes will allow women to function to their full capacity and experience improved mental health.

The research on gender discrimination and its impact on women’s mental health is limited, especially exploring the role of BCEs. Previous studies have indicated that BCEs have protective roles in neutralizing adversities. However, the present study uniquely contributes to establishing the limited role of BCEs in the context of gender discrimination, though it contributes to mental health. The policy and psychosocial implications of the study are discussed.

This study investigates the combined influence of corporate governance (CG) and debt maturity (DM) on the investment inefficiency among non-financial 506 NSE-listed firms in India between 2009 and 2022. Additionally, this study also investigates the moderating effect of short-term debt (STD) maturity concerning the relationship between CG and investment inefficiency.

Utilizing the residuals extracted from the Biddle et al. (2009) investment model, three different forms of investment inefficiency (investment inefficiency, overinvestment and underinvestment) were measured. To measure the internal governance of firms, a new corporate governance index (CGI) was developed using 65 new governance stipulations, whereas STD was measured as short-term debt divided by total debt. Interaction effects between CG and DM were also estimated. Employing CGI and STD along with firm-specific control variables, many pooled regression models were estimated. Endogeneity issues were addressed through two-stage least squares. Robustness checks were also conducted using the two-step system GMM, alternative measures of dependent and independent variables.

The findings demonstrate that higher CG and shortened DM increase investment efficiency. This evidence implies that firm-level governance and short-term debt reduce information asymmetry and increase management oversight. Additionally, the evidence suggested that shortened DM and CG complement one another to increase investment efficiency, suggesting companies that utilize STD to a greater (lesser) extent demonstrate a greater (lesser) impact of CG in reducing investment inefficiency.

This work first advocates the establishment and implementation of robust corporate governance mechanisms to control agency conflicts, moral hazard, adverse selection and limit opportunistic behavior of managers for improving investment efficiency. Second, since interaction effects suggest a complementarity between CG and DM, it is advocated that STDs can be used to achieve optimal investment choices to control moral hazards and adverse selection and discourage suboptimal investment levels.

This work provides new evidence concerning the effects of CG and DM on various forms of corporate investment efficiency (investment inefficiency, overinvestment and underinvestment, using alternate measures) in an emerging economy like India having a unique institutional framework and macroeconomic environment using a newly developed firm-specific CG index for a large sample of companies using recent data.