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Some studies have been reported in the past on diaphragmatic hernia (DH) surgery techniques using additive manufacturing (AM) technologies, symptoms of a hernia and post-surgery complications. But hitherto little has been reported on bibliographic analysis (BA) for health monitoring of bovine post-DH surgery for long-term management. Based on BA, this study aims to explore the sensor fabrication integrated with innovative AM technologies for health monitoring assistance of bovines post-DH surgery.

A BA based on the data extracted through the Web of Science database was performed using bibliometric tools (R-Studio and Biblioshiny).

After going through the BA and a case study, this review provides information on various 3D-printed meshes used over the sutured site and available Internet of Things-based solutions to prevent the recurrence of DH.

Research gaps exist for 3D-printed conformal sensors for health monitoring of bovine post-DH surgery.

The present research paper aims to examine the inter-relationship between organizational justice (Henceforth termed as OJ), psychological well-being at work (henceforth termed as PWBW) and organizational citizenship behavior (henceforth termed as OCB). More specifically, this paper attempts to critically analyze the mediating role of PWBW in the relationship between OJ and OCB. The study solely focuses on nurses working at private hospitals in Kerala, who are the largest group of healthcare personnel.

Data collected from 308 nursing employees were analyzed by using statistical package for the social sciences (SPSS) software.

The outcomes of the analysis demonstrate that significant correlations exist between all the three key variables and their dimensions. Moreover, it has been found that the relationship between OJ and OCB is partially mediated by PWBW.

In the present healthcare scenario, just after the Covid-19 pandemic, there is a paramount need for the well-being of healthcare staff in order to improve the functioning of the healthcare system.

The study enabled us to develop and provide an explanation as to how social exchange relationship works between OJ and OCB.

Playful work design (PWD) is a set of proactive strategies implementing fun and self-challenge at work to actively create better work conditions. Following the job demands-resources theory, this study aims to investigate the effects of PWD’s dimensions – i.e. “designing fun” and “designing competition” – on task and contextual performance (Study 1) and on the dimensions of organizational citizenship behaviors (OCBs) – i.e. altruism, conscientiousness and civic virtue (Study 2). Furthermore, the present research investigates the mediating role of work engagement (WE) for both studies.

Two samples of 339 and 141 Italian workers participated by filling in a self-report questionnaire. Measuring models and hypotheses have been tested by structural equation models.

Results suggest that WE partially mediates the relationship of the “designing competition” subdimension of PWD with task and contextual performance (Study 1) and with conscientiousness and civic virtue of OCBs, while “designing fun” shows a positive direct relationship only with altruism (Study 2).

This paper contributes to expanding knowledge about PWD’s effectiveness in facilitating performance and positive behaviors. Furthermore, it disentangles the different effects of PWD’s dimensions on performance. In light of the results, both employees and managers should be aware of the beneficial consequences of introducing fun and self-competitiveness when completing their own work activities.

Face is the most intuitive and representative feature at the individual level. Many studies show that beautiful faces help individuals and enterprises obtain economic benefits and form a high economic premium, but the discussion of their potential social value is insufficient. This study aims to focus on the impact of the personal characteristics of executives. It mainly analyzes the impact mechanism of CEO facial attractiveness on corporate social responsibility (CSR) decision-making, clarifying the social value of beauty from the perspective of CSR.

The authors use the regression model to analyze the panel data set, which was conducted by a sample of Chinese publicly listed firms from 2016 to 2018.

The study found that CEOs with high facial attractiveness are more active in fulfilling CSR, which can usually bring higher social benefits. CEOs with beautiful faces are prone to overconfidence, are optimistic about their ability and the future development of the enterprise and are more willing to increase their investment in CSR. CEO duality can positively regulate the positive correlation between a CEO’s facial attractiveness and CSR.

Based on the perspective of upper echelons theory, this paper explores the mechanism of CEO facial attractiveness on CSR. This study enriches the perspective of the upper echelon’s theoretical research and has essential enlightenment for CEO selection and training practice.

The purpose of this study is to determine the role of perceived supervisor listening (PSL) on employee organizational citizenship behavior Islamic perspective (OCBIP) with several mediating variables as a link.

The research was conducted using a purposive sampling technique with a total sample of 100 employees in Islamic financial institutions (IFIs). The collected data were analyzed using SEM-PLS.

The results of this study indicate that PSL is one of the factors that can improve OCBIP attitudes among employees of IFIs. In addition, this study also shows the role of job motivation and satisfaction in mediating the relationship between PSL and OCBIP. However, the results do not indicate affective commitment.

Based on the results of this study, the leadership of IFIs must be able to develop superior attitudes in OCBIP to increase employee motivation and satisfaction and help increase company productivity.

This study confirms the importance of the role of leaders in shaping positive employee behavior and strengthens the literature related to OCBIP variables that can be used for Islamic-based organizations.

This empirical study aims to explore how actors in specific human resource practices (HRPs) such as line managers (LMs) impact employee productivity measures in the context of financial institutions (FI) banks.

This cross-country study adopted a qualitative methodology. It employed semi-structured interviews to collect data from purposefully selected 12 business facing directors (BFDs) working in the top 10 banks in Nigeria and the UK. The data collected were analysed with the help of the trans-positional cognition approach (TPCA) phenomenological method.

The findings of a TPCA analytical process imply that in the UK and Nigeria’s FIs, the BFDs line managers’ human resources practices (LMHRPs) resulted in a highly regulated workplace, knowledge gap, service operations challenges and subjective quantitatively driven key performance indicators, considered service productivity paradoxical elements. Although the practices in the UK and Nigerian FIs had similar labels, their aggregates were underpinned by different contextual issues.

To support LMs in better understanding and managing FIs BFDs productivity measures and outcomes, we propose the Managerial Employee Productivity Operational Definition framework as part of their toolkit. This study will be helpful for banking sectors, their regulators, policymakers, other FIs’ industry stakeholders and future researchers in the field.

Within the context of the UK and Nigeria’s FIs, this study is the first attempt to understand how LMHRPs impact BFDs productivity in this manner. It confirms that LMHRPs result in service productivity paradoxical elements with perceived or lost productivity implications.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

This paper investigates the influence of employees’ extra-role and in-role behaviours on customer service alongside the moderating role of gender.

This paper employs the theory of behavioural intentions, cross-sectional survey design and quantitative approach to collect the data from 426 purposively sampled workers and customers of oil marketing companies. The data were analysed using descriptive statistics, correlation and the hierarchical regression model in SPSS.

The results indicate that employees’ extra-role behaviour has a significant positive effect on customer service while employees’ in-role behaviour has no significant effect on customer service. It is also established that gender of staff can significantly moderate the relationship between extra-role behaviour and customer service such that the behaviour of female staff has greater effect on customer service than their male counterparts. However, the gender of staff has no moderating effect on the relationship between in-role behaviour and customer service.

The findings imply that female staff should be allowed to directly engage customers more often than male staff to promote superior customer service. Managers should continuously improve upon the behaviour of employees through orientations, workshops and mentoring. Behaviour stimuli such as awards, appreciations and recognition for best workers would have to be encouraged to induce employees to act beyond their prescribed-roles.

This study is the first to investigate how staff behaviours (in-role and extra-role) impact customer service, with gender of the employees as a moderator. This paper contributes to literature by empirically confirming the differential influence of employees’ extra role and in-role behaviours on customer service and the effectiveness of gender as a moderator on the relationship between extra-role behaviour and customer service from a developing country perspective and an industry where there is dearth of research.

The existing technology acceptance models have not yet investigated functional and motivational factors impacting trust in and use of conversational artificial intelligence (AI) by integrating the feedback and sequential updating mechanisms. This study challenged the existing models and constructed an integrated longitudinal model. Using a territory-wide two-wave survey of a representative sample, this new model examined the effects of hedonic motivation, social motivation, perceived ease of use, and perceived usefulness on continued trust, intended use, and actual use of conversational AI.

An autoregressive cross-lagged model was adopted to test the structural associations of the seven repeatedly measured constructs.

The results revealed that trust in conversational AI positively affected continued actual use, hedonic motivation increased continued intended use, and social motivation and perceived ease of use enhanced continued trust in conversational AI. While the original technology acceptance model was unable to explain the continued acceptance of conversational AI, the findings showed positive feedback effects of actual use on continued intended use. Except for trust, the sequential updating effects of all the measured factors were significant.

This study intended to contribute to the technology acceptance and human–AI interaction paradigms by developing a longitudinal model of continued acceptance of conversational AI. This new model adds to the literature by considering the feedback and sequential updating mechanisms in understanding continued conversational AI acceptance.

The New York Times has suggested replacing sustainable fashion with responsible fashion, emphasizing the need for joint efforts by both individual consumers and retailers to take responsibility for their own decisions and actions. This study seeks to investigate the mechanism that activates individuals' personal social responsibility (PSR) and its association with their perceived corporate social responsibility (CSR) from a responsible luxury fashion retailer.

An online experiment was conducted with a nationwide US sample of luxury consumers who were randomly assigned to either individuation or deindividuation groups. Covariance-based structural equation modeling (CB-SEM) and multi-group SEM were employed to test the hypotheses.

Individuals' universalism positively affected PSR, which then enhanced their recognition of a responsible luxury retailer’s CSR and led to a greater willingness to pay a premium. More importantly, the positive effect of universalism on PSR was strengthened when consumers’ unique individuality, rather than their deindividuated state, was emphasized. Moreover, the moderating effect of individuation was indirectly transmitted through PSR to perceived CSR, hence reinforcing the relationship between PSR and CSR.

This study significantly advances existing scholarship on sustainable luxury retailing and adds rigor to deindividuation theory by demonstrating the central role of PSR and the moderating effect of individuation in enhancing recognition of a luxury fashion retailer’s CSR commitments. The findings provide luxury fashion retailers with communication and marketing strategies that highlight consumers' unique individuality to more effectively activate their sense of personal responsibility and thereby increase their recognition of the retailer’s CSR.