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To respond to recent calls for better understanding of the complexities related to happiness management, especially from the employees' perspective, this study examines how corporate volunteering (CV), as one form of corporate social responsibility (CSR), creates sustainable happiness in business organizations.

Theoretical knowledge of CSR and CV as well as the literature on happiness management was examined to form a preliminary understanding of the phenomenon. The empirical section includes a qualitative multiple case study including two company cases of CV in Finland. The data were collected through qualitative interviews. Empirical analysis was made using thematical coding based on existing theory but also by allowing themes to emerge inductively from the data as well.

The study found that CV enables the emergence of sustainable happiness by allowing individual employee volunteers to transition from individual and rational mindsets to collective and emotional mindsets. A third transition was also identified, a process of change in the volunteers' approach in life that the authors describe as “from actual to potential”.

The study provides a theoretical contribution to the existing literature on happiness management by identifying the third dimension, from actual to potential, and depicting the way this allows employees to move from a state of being to becoming and thus the emergence of sustainable happiness. The study also contributes to existing literature on CV and CSR by revealing the way CV, as a form of practical CSR activity, generates happiness. This study concludes that companies' strategic activities that engage with society can create sustainable happiness for employees who participate. In order to achieve this, volunteering employees should have the chance to reflect on their experience and constant support from managers.

To succeed in today’s dynamic and unpredictable business world, businesses are increasingly required to gain the trust of and inform the society in which they operate about the social and environmental consequences of their actions. Corporations’ claims regarding the responsibility and ethicality of their actions, however, have been shown to be contradictory to some degree. We define corporations’ deceitful implementation of their corporate social responsibility (CSR) policies as pseudo-CSR. We argue that it is the moral characteristics of individuals, i.e. employees, managers and other decision-makers who ignore the CSR policies, which produce pseudo-CSR.

This is a conceptual paper.

The authors conceptualize the gap between true CSR and pseudo-CSR on a cognitive individual level as “moral laxity,” resulting from organization-induced lack of effort concerning individual moral development through ethical discourse, ethical sensemaking and subjectification processes. The absence of these processes prohibits individuals in organizations from constructing ethical identities to inhibit pseudo-CSR activities.

This paper contributes to the literature on CSR by augmenting corporate-level responsibility with the hitherto mostly neglected, yet significant, role of the individual in bridging this gap.

The purpose of this study is to examine how employee competences can be developed through corporate volunteering (CV). Specifically, this study focuses on diversity of volunteering studies categorized according to the type of beneficiaries and intensity of volunteer contact with them. The study examines how the beneficiary-employee relation influences the development of employee competences in CV projects.

In this qualitative empirical study, interview data collected in Poland about the perceived effects of CV projects on employee competences was used.

The findings suggest that to understand the competences generated in CV, attention needs to be paid to the nature of the volunteering study itself. The study proposes four different logics of competence development in CV, based on the type of the beneficiary and contact with them.

The study builds on managers’ perceptions of competence development. For a holistic understanding, future research should include employees’ perceptions of the process. Also, more research is needed regarding national and organizational settings as factors in competence development through CV.

The study suggests how companies could best engage in volunteering programs and improve existing ones to make them more beneficial for all parties involved.

The findings build the better business case for CV and other corporate social responsibility (CSR) initiatives, i.e. they deliver rationales for business engagement in this regard.

The study contributes to the conceptual understanding of CSR activities by presenting four logics of competence development in CV.

The main purpose of this paper is to create a suitable structure based on neutrosophic numbers to evaluate the safety performance in construction projects in such a way that the shortcomings can be highlighted with the reasoned measurement and possible strategies can be recommended.

Data envelopment analysis (DEA), which is a useful tool for performance appraisal, along with neutrosophic logic, which is one of the most complete tools for handling uncertainty phenomenon, has been used to evaluate the safety performance of construction projects. With this hybrid model, a new strategy is considered as an indicator for safety performance and comparisons are made between different units.

A total of 35 Chinese organizations with construction projects lasting between 1.5 and 2 years were selected for comparison. After processing the data into neutrosophic numbers and using the NN-DEA model, it can be found that projects that pay more attention to safety issues such as training and equipment are more efficient.

Since in the real world, there are uncertainties with different contradictions, and neutrosophical data can handle many of these challenges, using DEA model with neutrosophic numbers to evaluate the performance of construction projects from a safety perspective, can provide significantly better results. Therefore, considering that no study has been presented in this field so far, the authors will deal with this topic.

Drawing on job demands-resources theory, this paper aims to investigate the impact of workplace spirituality on mindfulness and the subsequent effects of mindfulness on open innovation mindset and job embeddedness. Additionally, it examines the mediating role of mindfulness between workplace spirituality and key outcomes, including open innovation mindset and job embeddedness. Lastly, the study investigates the moderating role of self-efficacy in the relationship between workplace spirituality and mindfulness.

The research utilized multiple sampling techniques to collect data from employees across numerous sectors. A total of 197 viable responses were collected. Partial least squares structural equation modeling (PLS-SEM) was used to test the proposed hypotheses.

The results indicate that workplace spirituality has a positive impact on mindfulness, which in turn increases employees’ job embeddedness and an open innovation mindset. Additionally, it was found that mindfulness mediates the relationship between workplace spirituality and both job embeddedness and open innovation mindset. Surprisingly and unexpectedly, the results indicate a negative moderating impact of self-efficacy between workplace spirituality and mindfulness.

Cultivating a sense of purpose and meaningful work, alongside mindfulness programs and recruitment practices focused on cultural fit, can enhance both employee retention and innovation.

Little to no research exists that clarifies how workplace spirituality impacts employees’ job embeddedness and an open innovation mindset. Notably, the mediating role of mindfulness remains unexplored. This study is among the first to explore the mediating role of mindfulness between workplace spirituality and outcomes such as job embeddedness and an open innovation mindset. Additionally, the moderating role of self-efficacy between workplace spirituality and mindfulness is almost absent in the existing literature. Lastly, the unexpected findings on the role of self-efficacy in this study open fresh avenues for future research.

In the supply chain disruption risk, the issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

Considering the influence of irrational emotions of decision makers, an evaluation model is designed by the regret theory and VIKOR method, which makes the decision-making process closer to reality.

The paper has some innovations in the evaluation index system and evaluation model construction. The method has good stability under the risk of supply chain interruption.

The mixed evaluation information is used to describe the attributes, and the evaluation index system is constructed by the combined method of the social network analysis method and the literature research method to ensure the accuracy and accuracy of the extracted attributes. The issue of supplier evaluation and selection is solved by an extended VIKOR method based on regret theory.

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 proposes a new intra-layer partition adaptive slicing algorithm for FDM 3D printing, aiming to further improve forming efficiency based on the adaptive slicing algorithm while preserving the surface finish quality of the formed model.

This method initially applies a large layer thickness for primary slicing, then refines layer thickness in layer height ranges with significant cross-sectional contour changes. Refined layers are partitioned: the internal region uses the large layer thickness for efficiency, while the external region uses a smaller layer thickness for surface quality. A thickness ratio and transition zone between regions prevent overlaps and gaps in printing paths.

The experimental results show that, compared to traditional adaptive slicing algorithms, the intra-layer partition adaptive slicing algorithm can effectively improve forming efficiency for most models while ensuring the model’s surface finish, with minimal impact on the bonding strength of the model.

The intra-layer partition adaptive slicing algorithm is a novel algorithm improved upon the traditional adaptive slicing algorithm, enabling models to achieve higher printing efficiency while maintaining the surface finish provided by the conventional adaptive slicing algorithm. This algorithm is of significant importance to vendors and individual users who provide printing services for large-sized fused deposition modeling models, as it can greatly enhance their production efficiency.