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To comprehend the influence of green HR practices (GHRM) on employee outcomes, strategic HRM researchers are gradually adopting an employee-centric approach, a subject that has sparked recent discussions among scholars in the field of green HR. These scholars have emphasized the need for studies that shed light on the reasons behind the differences in employees' perceptions of GHRM. To address this concern, we investigated (1) supervisors perceived GHRM (SUP-GHRM) and subordinates perceived GHRM (SUB-GHRM) as the fundamental source of variation in employee eco-friendly behavior and green performance, (2) the association between SUP-GHRM and SUB-GHRM, (3) the mediation role of SUB-GHRM toward green performance and eco-friendly behavior, and (4) the moderation of perceived HRM system strength (HRMSS) on supervisor-subordinate perceived GHRM.

Applying a survey approach, we collected data from 217 supervisors and 624 subordinates from Large-Scale Manufacturing Organizations in the Textile sector of Pakistan. Since the data is hierarchical, we applied the Hierarchical Linear Model (HLM) and bootstrapping techniques to examine the hypothesized relationship.

The results of HLM revealed that (1) the SUP-GHRM and SUB-GHRM were key in determining green performance and eco-friendly behavior, (2) the SUP-GHRM significantly influenced SUB-GHRM, (3) the SUP-GHRM indirectly affected the eco-friendly behavior and green performance through SUB-GHRM, (4) the HRM system’s strength positively moderated the association between the SUP-GHRM and SUB-GHRM.

The corporations need to ensure that both supervisors and subordinates have a consistent understanding of GHRM practices and foster positive relationships between them. It is also important for companies to actively enhance supervisors' knowledge of GHRM and encourage them to effectively communicate the company’s GHRM practices to their subordinates. This is vital for improving employee job-related outcomes. Furthermore, corporations should emphasize developing a strong HRM system designed to create a climate where employees understand the behaviors and responses that are valued and recognized, leading them to perceive situations in line with their managers.

This study suggests SUP-GHRM and SUB-GHRM as critical factors that influence eco-friendly behavior and green performance, and HRMSS is key to aligning the perception gaps between subordinates and supervisors about what GHRM is in place in their organization, which is empirically analyzed in a developing country context.

This study aims to use regression Least-Square Support Vector Machine (LS-SVM) as a probabilistic model to determine the factor of safety (FS) and probability of failure (PF) of anisotropic soil slopes.

This research uses machine learning (ML) techniques to predict soil slope failure. Due to the lack of analytical solutions for measuring FS and PF, it is more convenient to use surrogate models like probabilistic modeling, which is suitable for performing repetitive calculations to compute the effect of uncertainty on the anisotropic soil slope stability. The study first uses the Limit Equilibrium Method (LEM) based on a probabilistic evaluation over the Latin Hypercube Sampling (LHS) technique for two anisotropic soil slope profiles to assess FS and PF. Then, using one of the supervised methods of ML named LS-SVM, the outcomes (FS and PF) were compared to evaluate the efficiency of the LS-SVM method in predicting the stability of such complex soil slope profiles.

This method increases the computational performance of low-probability analysis significantly. The compared results by FS-PF plots show that the proposed method is valuable for analyzing complex slopes under different probabilistic distributions. Accordingly, to obtain a precise estimate of slope stability, all layers must be included in the probabilistic modeling in the LS-SVM method.

Combining LS-SVM and LEM offers a unique and innovative approach to address the anisotropic behavior of soil slope stability analysis. The initiative part of this paper is to evaluate the stability of an anisotropic soil slope based on one ML method, the Least-Square Support Vector Machine (LS-SVM). The soil slope is defined as complex because there are uncertainties in the slope profile characteristics transformed to LS-SVM. Consequently, several input parameters are effective in finding FS and PF as output parameters.

Additive manufacturing (AM), also known as three-dimensional (3D) printing technology, has been used in the health-care industry for over two decades. It is in high demand in the health-care industry due to its strength to manufacture custom-designed and personalized 3D constructs. Recently, AM technologies are being explored to develop personalized drug delivery systems, such as personalized oral dosages, implants and others due to their potential to design and develop systems with complex geometry and programmed controlled release profile. Furthermore, in 2015, the US Food and Drug Administration approved the first AM medication, Spritam® (Apprecia Pharmaceuticals) which has led to tremendous interest in exploring this technology as a bespoke solution for patient-specific drug delivery systems. The purpose of this study is to provide a comprehensive overview of AM technologies applied to the development of personalized drug delivery systems, including an analysis of the commercial status of AM based drugs and delivery devices.

This review paper provides a detailed understanding of how AM technologies are used to develop personalized drug delivery systems. Different AM technologies and how these technologies can be chosen for a specific drug delivery system are discussed. Different types of materials used to manufacture personalized drug delivery systems are also discussed here. Furthermore, recent preclinical and clinical trials are discussed. The challenges and future perceptions of personalized medicine and the clinical use of these systems are also discussed.

Substantial works are ongoing to develop personalized medicine using AM technologies. Understanding the regulatory requirements is needed to establish this area as a point-of-care solution for patients. Furthermore, scientists, engineers and regulatory agencies need to work closely to successfully translate the research efforts to clinics.

This review paper highlights the recent efforts of AM-based technologies in the field of personalized drug delivery systems with an insight into the possible future direction.

This study aims to investigate the mediating role of trust in management and the moderating role of employee-management congruence in high-performance work system (HPWS) perceptions on the relationship between HPWS and firm performance.

Survey data on HPWS practices and employee–manager perceptions from a large sample of South Korean firms were integrated with objective financial performance data. Path analysis using STATA 18.0 with robust standard errors was used to test the hypothesised moderated mediation model.

Trust in management partially mediated the relationship between HPWS and firm performance. While employee–management congruence in HPWS perceptions did not moderate the direct effect of HPWS on firm performance, it significantly moderated the indirect effect through trust in management. The positive influence of HPWS on performance via trust was stronger when employee–management congruence was high.

This study extends the social exchange perspective on the HPWS–performance relationship by incorporating trust in management as a critical mediator and employee–management congruence in HPWS perceptions as a moderator. The findings highlight the importance of fostering shared understandings of human resource practices between employees and managers to optimise the trust-building and performance-enhancing effects of HPWS.

Additive lamination manufacturing (ALM), as a novel additive manufacturing technology, builds up the geometry via the lamination of fiber-reinforced polymer (FRP) fabric laterally, rendering it suitable for fabricating large-scale Stay-in-Place concrete formwork. This paper aims to investigate the control parameters and structure performance of ALM and assess its application for the fabrication of large-scale concrete formwork.

Based on previous feasibility studies, this research systematically investigates the control and material parameters that influence horizontal and vertical extrusion speeds, as well as the overall quality of ALM. Once the system parameters are established, a series of prototypes are fabricated and tested to validate the tensile strength of the formwork and its reinforcement capabilities. In addition, this study assesses the potential geometric freedom and implementation constraints of ALM.

This research identifies the essential control parameters for path planning in ALM and examines their impact on fabrication. In addition, this paper evaluates ALM’s strengths and limitations in producing concrete formwork for large-scale concrete structures, comparing these to industry benchmarks.

A critical challenge in additive manufacturing lies in its scalability and compatibility with existing construction processes. In comparison to concrete, FRP offers advantages such as being lighter, easier to handle and providing surface protection and reinforcement. These qualities make FRP superior for formwork and compatible with existing building standards. Despite its advantages and potential, the current path planning and control model in 3D printing do not apply to ALM due to its novel build-up process. Also, the performance of fabricated parts as part of integrated large-scale structures is yet to be studied.

This paper aims to reveal the green governance role played by stock connect in transition economies from the perspective of corporates’ environmental violations and provides implications for the coordination and optimization of subsequent stock market liberalization and green transformation policies in pursuit of carbon peaking and carbon neutrality goals.

With the data of Chinese listed enterprises, this paper takes the Shanghai-Hong Kong Stock Connect or Shenzhen-Hong Kong Stock Connect in China as a quasi-natural experiment and applies the multi-period difference-in-difference (DID) model to identify the impact of stock market liberalization on the corporates’ environmental violations.

The findings reveal that the stock market liberalization significantly restrains the corporates’ environmental violations. These findings are robust to a series of sensitivity tests, including excluding two-way effects, adjusting the year of policy implementation, replacing the core variables, introducing the regional fixed effects and excluding the interference effect of other relevant policies during the sample period. Furthermore, the stock market liberalization is beneficial for upgrading information disclosure quality, improving internal governance capability, strengthening environmental protection incentives, and thus restrains corporates’ environmental violations. Meanwhile, heterogeneity tests show that the inhibitory effects are more significant in those grouped samples which is large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden.

We make two marginal contributions to the current literature. First, this paper enriches the literature on the factors influencing corporate environmental violations by focusing on how the macro-level financial policy influences the micro-level corporate environmental violations. One the one hand, prior studies mainly focused on the consequences of corporate environmental violations; however, there is still a puzzle that the effect of stock market liberalization cannot be fully justified to influence corporate environmental violations. The findings help explain this puzzle by examining that stock market liberalization can restrain corporate environmental violations. Moreover, prior studies mainly focused on corporate share price (Yunsen Chen et al., 2022), market liquidity (Han Kim and Singal, 2000), information disclosure (Liang, Lin, and Chin 2012), corporate governance (Bae and Goyal, 2010) and corporate violations (Lingyun Xiong et al., 2021), but not on corporate environmental violations. We assume that the suppression effect of stock market liberalization on corporate environmental violations can help reduce corporate environmental violations, improve corporates’ awareness of environmental compliance. Second, this paper contributes to a better understanding of the literature on stock market liberalization by investigating the restraining effect of Stock Connect on corporate environmental violations from the perspective of information channel, corporate governance channel and motivation channel, which is of practical significance. Moreover, we investigate the differences in the inhibitory effects of stock market liberalization on different enterprises' environmental violations, from firm size, property rights, enterprise assessment results, tax burden to geographical location, which is conducive to the construction of a green financial system and the promotion of sustainable economic development. Our results show that firms which are large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden tend to compliance with environmental laws. These findings emphasize the importance and benefits of Stock Connect.

The primary purpose of this contextual study was three-fold: (1) to study the effect of HR practices on employee lifecycle (ELC) on organisational outcomes; (2) to investigate the mediating role of employee outcomes in the relationship between HR practices and organisational outcomes; (3) to assess the differences in HR practices of the Indian and Thai food processing industries.

The study used random sampling to select 574 (278 Indian and 296 Thai) HR managers in food processing industries. A structured questionnaire was administered. The PLS-SEM was used to validate the relationships, while multiple group analysis (MGA) was employed to compare the HR practices.

The results revealed a significant influence of HR practices on organisational outcomes. Employee outcomes also mediate this influence. MGA results showed no significant variation in the effect of HR practices on organisational outcomes between India and Thailand.

HR practices must be aligned to suit country-specific business contexts to achieve organisational outcomes by improving employee outcomes. The findings would guide managers of the Indian and Thai food industries to develop tailor-made HR strategies.

This study contributes to comparative HRM in the Asian context by offering an empirically tested framework. Additionally, this comparative research offers insightful information on convergent best practices among Asian nations.

Social entrepreneurship, leveraging economic activities to achieve social benefits, offers women the opportunity to freely and actively shape the contours of their work in meaningful ways. This study aims to examine how Chinese women use job crafting in social entrepreneurship to align their gender identity, forge meaningful work and new relationships and navigate mixed gender expectations.

The study is based on 19 in-depth interviews with young women engaging in social entrepreneurship in China. Using a grounded theory approach, the study explores how women craft their gender identity into the unconventional career path of creating their social venture, focusing on the creative combination of task, relational and cognitive crafting in shaping social entrepreneurship.

The findings suggest that women make social entrepreneurship meaningful by actively aligning their gender experiences to delineate a relational and cognitive causal path between their social enterprise, their identity as women and their moral values. By working for a larger social cause, women may cognitively reframe their gender identity to compromise financial performance for social impact.

Current studies on social entrepreneurship in China have yet to examine its development through a gender lens. This study uses job crafting to highlight the distinctive gender meaning-making process for Chinese women to enhance their work identity and to challenge normative gender expectations. The study shows that job crafting enables women to view their social ventures as a means of gender empowerment, helping them to reconcile the paradoxical pressures of normative gender expectations and scaling up their businesses.

This study aims to answer the following research questions: (1) How do features of sports and fitness live streaming content influence individuals’ viewing experiences? (2) How do these antecedents interact with each other to influence individuals’ intentions to exercise in the context of sports and fitness live streaming?

We employed both symmetric (PLS-SEM) and asymmetric (fsQCA) analyses using data from 886 participants. A mixed approach addresses the complex nature of the decision-making process among sports and fitness live streaming users.

The findings reveal that individuals’ appraisal of their interactions with sports and fitness streamers (i.e. instant feedback, interactivity) significantly affects their perceptions of telepresence, entertainment, and flow. These, in turn, positively influence their intention to exercise in live sports and fitness streaming sessions. The study also uncovers various combinations of causal conditions leading to exercise intention, a detail overlooked by the PLS-SEM method alone.

This research contributes to the literature on cognitive appraisal theory, particularly in the context of sports and fitness live streaming, by integrating symmetric and asymmetric analyses. Practically, strategic implications are provided for practitioners in sports and fitness industry.

The primary purpose of this study is to analyze the effects of customer incivility on employees' negative emotions (i.e. anger, fear and sadness) considering the moderating role of organizational power distance.

A survey sample comprising 312 service employees was collected from 51 Taiwanese and Vietnamese companies spanning different industries. Given the multilevel characteristics of the data structure, hierarchical linear modeling was used to rigorously test the proposed hypotheses.

The results indicate a significant contribution of customer incivility to employees' negative emotions. Notably, this impact is more pronounced among employees in organizations characterized by low power distance compared to those in organizations with high power distance.

This research significantly advances our understanding of the emotional repercussions of customer incivility on employees by integrating cognitive–motivational–relational theory and organizational culture perspectives. The findings not only provide valuable theoretical insights but also offer practical implications for effectively managing employee well-being in culturally diverse contexts. The study recognizes certain limitations and puts forth suggestions for future research directions.