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This study aims to examine the relationship between managerial supportive communication, CEO relational communication and symmetrical internal communication. It specifically investigates the mediating role of symmetrical internal communication and employee advocacy, as well as the moderating influence of proactive personality on the link between employee advocacy and employee creativity.

A survey was conducted involving 290 full-time employees, and a Partial Least Square Structural Equation Modeling (PLS-SEM) statistical approach was used to assess the proposed relationships.

Both managerial supportive communication and CEO relational communication were found to be positively associated with symmetrical internal communication. Furthermore, results indicated that symmetrical internal communication and employee advocacy acted as strong mediators in the hypothesized relationships. Notably, the study also found that the impact of employee advocacy on employee creativity was significantly amplified in cases where employees exhibited a higher degree of proactive personality.

By emphasizing managerial supportive communication, enhancing CEO relational communication and promoting symmetrical internal communication and employee advocacy, organizations can create an environment conducive to innovation and creativity among employees. Additionally, recognizing the buffering effect of proactive personality on employee advocacy's impact on creativity enables organizations to better tailor their strategies for fostering creativity.

This research presents a novel contribution to the field by exploring the less-explored relationships between these critical communication factors and employee creativity. It uncovers the mediating and moderating mechanisms, shedding new light on how internal communication dynamics influence creativity. This unique approach provides an original perspective on the role of communication in promoting creativity at workplace.

Accurate prediction of seasonal power consumption trends with impact disturbances provides a scientific basis for the flexible balance of the long timescale power system. Consequently, it fosters reasonable scheduling plans, ensuring the safety of the system and improving the economic dispatching efficiency of the power system.

First, a new seasonal grey buffer operator in the longitudinal and transverse dimensional perspectives is designed. Then, a new seasonal grey modeling approach that integrates the new operator, full real domain fractional order accumulation generation technique, grey prediction modeling tool and fruit fly optimization algorithm is proposed. Moreover, the rationality, scientificity and superiority of the new approach are verified by designing 24 seasonal electricity consumption forecasting approaches, incorporating case study and amalgamating qualitative and quantitative research.

Compared with other comparative models, the new approach has superior mean absolute percentage error and mean absolute error. Furthermore, the research results show that the new method provides a scientific and effective mathematical method for solving the seasonal trend power consumption forecasting modeling with impact disturbance.

Considering the development trend of longitudinal and transverse dimensions of seasonal data with impact disturbance and the differences in each stage, a new grey buffer operator is constructed, and a new seasonal grey modeling approach with multi-method fusion is proposed to solve the seasonal power consumption forecasting problem.

The highlights of the paper are as follows:

1. A new seasonal grey buffer operator is constructed.

2. The impact of shock perturbations on seasonal data trends is effectively mitigated.

3. A novel seasonal grey forecasting approach with multi-method fusion is proposed.

4. Seasonal electricity consumption is successfully predicted by the novel approach.

5. The way to adjust China's power system flexibility in the future is analyzed.

A new seasonal grey buffer operator is constructed.

The impact of shock perturbations on seasonal data trends is effectively mitigated.

A novel seasonal grey forecasting approach with multi-method fusion is proposed.

Seasonal electricity consumption is successfully predicted by the novel approach.

The way to adjust China's power system flexibility in the future is analyzed.

This study aims to examine how four dimensions of emotional intelligence (EI) influence organizational commitment and job performance among employees, particularly in pharmaceutical industry.

A total of 235 participants are involved from the pharmaceutical companies in Punjab, Pakistan. SPSS for Windows is used for initial statistical analysis. Partial least squares structural equations modeling (PLS-SEM) is the primary statistical method used to analyze the path model. Smart PLS v2.0 software is used to test the proposed hypotheses.

The empirical findings approve the significance of employee’s and their contribution in employee’s job performance and argue to control them in such a way that increases their performance. The employees’ perception and evaluation of their emotions have a potential to bring a positive variation in their eventual performance. Likewise, awareness with the emotions of supervisors, colleagues and subordinates and aptitude to deal with them will lend a hand to create a progressive working environment.

The self-report measures are used in data collection. Other techniques such as interview and focus group discussion should be adopted in the future studies. Another deficiency is the cross-sectional design of the study, which is recommended to test the same model in longitudinal design that would span over one to two years.

This study empirically examines the significance to considerate employee’s emotions and to control them in such a way that increases their performance. Results of the study indicate that pharmacists working in multinational corporations are successfully controlling their emotions and observing other emotions; hence, they are committed and satisfied with their job.

EI is one of the most important concepts introduced to psychology and management in the past decade. This study aims to examine how four dimensions of EI influence organizational commitment and job performance among employees, particularly in pharmaceutical industry.

In today’s volatile global marketplace, cultivating human capital via efficient leadership has become an indispensable requisite for organizational growth. This study aims to examine how servant leadership affects employee creativity through employee empowerment. Moreover, this study examines the moderating effect of knowledge sharing in the relationship between employee empowerment and employee creativity.

Quantitative data were processed using Smart PLS-SEM to test the hypothesis. Survey data for this study were obtained from 368 employees working in two Islamic holy sites: the Masjid al-Haram and the Masjid an-Nabawi.

A positive correlation is found between employee empowerment and employee creativity. In addition, employee empowerment mediates the relationship between servant leadership and employee creativity. Lastly, knowledge sharing moderates the effect of employee empowerment on employee creativity.

The findings shed light on the need for servant leadership in service sector organizations. The findings imply that employee creativity in religious firms can be promoted by servant leadership. The results of this study can assist managers in developing a deeper understanding of contextual factors such as employee empowerment and knowledge sharing while formulating policies and development plans.

The impact of servant leadership in fostering creativity within religious organizations has not been investigated sufficiently. This study expands the literature by offering a thorough understanding of the contextual factors influencing employee creativity in religious organizations such as the mediating role of employee empowerment and the moderating role of knowledge sharing.

The investigation of pro-environmental behaviors (PEB) among college students is essential for future sustainability endeavors. Existing research seldomly concentrated on college students and their PEB. This study aims to address the gap in understanding PEB among college students.

This study constructed an integrated model combining the theory of planned behavior (TPB) and the value-belief-norm (VBN) theory, with the novel addition of environmental risk perception. Through an empirical study involving 844 college students, this research analyzed the data with the structural model.

The authors identified that environmental values, attitudes, perceived behavioral control, subjective norms and risk perception play crucial roles in shaping PEB. This study also revealed age-related differences, highlighting that older students might be less influenced by attitudes and subjective norms due to more established habits. Findings underscore the importance of fostering PEB through environmental education, promotion of low-carbon lifestyle choices and incentives. This investigation not only enriches the theoretical framework for PEB but also offers practical insights for policymakers and educators to enhance sustainable practices among the youth.

Though the authors offer valuable findings, this research has two key limitations: the use of observational data for hypothesis testing, which weakens causal inference, and the collection of data through questionnaires, which may be biased by social desirability. Respondents of self-report tend to behave in the socially desired ways. Consequently, they usually exaggerate their pro-environmental intention or PEB. To comprehend the influencing aspects more thoroughly, future research should consider incorporating experimental methods and objective data, such as digitalized data.

The findings provide valuable evidence for guiding college students’ PEB, including strengthening environmental education, promoting of low-carbon fashion and providing incentives for PEBs.

First, the authors examine the internal factors influencing PEB among Chinese university students within the “dual-carbon” initiative framework. Second, this research pioneers the use of structural equation modeling to merge TPB and VBN theories, offering a predictive model for university students’ PEB. Third, the authors introduce “environmental risk perception” as a novel variable derived from both TPB and VBN, enhancing the model’s explanatory power.

The study examines the influence of quality management practices (QMP) on project performance (PP) and the indirect association of QMP with PP through the mediating role of intellectual capital (IC). QMP may be one of the most successful strategies to improve project performance. Drawing on the resource-based view (RBV) and institutional theory, the study examines the impact of QMP on PP through the mediating role of IC.

The sample frame of 329 employees in different NGOs and public healthcare organizations was selected. Data were analyzed on SmartPLS 3.2.7 by applying SEM.

The outcome reveals that QMP has a significant impact on PP. The results found partial mediation of IC on the linkage between QMP and PP.

The key research limitation was that it examined only two antecedents (QMP and IC) of project performance based on RBV and institutional theory, which did not yield deep insights from other institutional forces that could influence the model, such as mimetic pressure, institutional pressure and business orientation.

QMP is highly significant in the healthcare sector; however, research on the relationship between QMP, IC and PP is lacking. Thus, this research is an initial attempt to investigate these relationships empirically. We add to our understanding of RBV by investigating the role of IC in mediating the QMP-PP linkage.

This paper aims to explore dual solutions for the flow of a hybrid nanofluid over a permeable melting stretching/shrinking sheet with nanoparticle shape factor, second-order velocity slip conditions and viscous dissipation. The hybrid nanofluid is formulated by dispersing alumina (Al₂O₃) and copper (Cu) nanoparticles into water (H₂O).

The governing partial differential equations (PDEs) are first reduced to a system of ordinary differential equations (ODEs) using a mathematical method of similarity transformation technique. These ODEs are then numerically solved through MATLAB’s bvp4c solver.

Key parameters such as slip parameter, melting parameter, suction parameter, shrinking parameter and Eckert number are examined. The results reveal the existence of two distinct solutions (upper and lower branches) for the transformed ODEs when considering the shrinking parameter. Increasing value of Cu-volume fraction and the second-order velocity slip enhances boundary layer thicknesses, whereas the heat transfer rate diminishes with rising melting and suction parameters. These numerical results are illustrated through various figures and tables. Additionally, a stability analysis is performed and confirms the upper branch is stable and practical, while the lower branch is unstable.

The analysis of hybrid nanofluid flow over a shrinking surface has practical significance with applications in processes such as solar thermal management systems, automotive cooling systems, sedimentation, microelectronic cooling or centrifugal separation of particles. Both steady and unsteady hybrid nanofluid flows are relevant in these contexts.

While the study of hybrid nanofluid flow is well-documented, research focusing on the shrinking flow case with specific parameters in our study is still relatively scarce. This paper contributes to obtaining dual solutions specifically for the shrinking case, which has been less frequently addressed.

Recent advancements in technology have led to the exploration of solar-based thermal radiation and nanotechnology in the field of fluid dynamics. Solar energy is captured through sunlight absorption, acting as the primary source of heat. Various solar technologies, such as solar water heating and photovoltaic cells, rely on solar energy for heat generation. This study focuses on investigating heat transfer mechanisms by utilizing a hybrid nanofluid within a parabolic trough solar collector (PTSC) to advance research in solar ship technology. The model incorporates multiple effects that are detailed in the formulation.

The mathematical model is transformed using suitable similarity transformations into a system of higher-order nonlinear differential equations. The model was solved by implementing a numerical procedure based on the Wavelets and Chebyshev wavelet method for simulating the outcome.

The velocity profile is reduced by Deborah's number and velocity slip parameter. The Ag-EG nanoparticles mixture demonstrates less smooth fluid flow compared to the significantly smoother fluid flow of the Ag-Fe3O4/EG hybrid nanofluids (HNFs). Additionally, the Ag-Ethylene Glycol nanofluids (NFs) exhibit higher radiative performance compared to the Ag-Fe3O4/Ethylene Glycol hybrid nanofluids (HNFs).

Additionally, the Oldroyd-B hybrid nanofluid demonstrates improved thermal conductivity compared to traditional fluids, making it suitable for use in cooling systems and energy applications in the maritime industry.

The originality of the study lies in the exploration of the thermal transport enhancement in sun-powered energy ships through the incorporation of silver-magnetite hybrid nanoparticles within the heat transfer fluid circulating in parabolic trough solar collectors. This particular aspect has not been thoroughly researched previously. The findings have been validated and provide a highly positive comparison with the research papers.

This study intends to explore the influence of emotional intelligence on employee self-efficacy in Pakistan's telecom industry. Besides, it explores the mediating effect of emotional labor (surface acting and deep acting) between them. This study also tests the relationship between emotional labor (surface acting and deep acting) and self-efficacy in the customer care of Pakistan's telecom division.

The study leads forward with a positivist approach to obtain data in two different waves as a time lag study from the big five telecom companies operating in Pakistan. The data was collected from 270 employees working in Customer Services in the Telecom sector.

The results reveal that there exists a positive relationship between emotional intelligence and self-efficacy in customer care employees in Pakistan's telecommunication division sector. Moreover, emotional labor (deep acting) partially mediates the relationship between emotional intelligence and self-efficacy, and surface acting could not mediate the relationship among the employees of customer care in Pakistan's telecom division.

Management of emotions at the workplace has been an immensely vital area in managing the performance of employees, especially in customer-centric jobs, where dealing with customers is the prime focus and achieving customer satisfaction is the utmost outcome. There is limited evidence of the relationship between emotional intelligence and self-efficacy specifically in the customer care of the Telecom sector.