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This study aims to enhance an enterprise’s private cloud services by optimally determining the ownership of cloud computing resources and responsibility for maintenance and operations. The core objective is to identify the most cost-effective private cloud deployment model at the intersection of technology and business considerations.

This study evaluates three ownership and responsibility models, each encompassing decisions related to candidate data center locations, resource provisioning, and demand placements. Drawing from the cloud computing literature, these models are referred to as deployment models. The research formulates a private cloud deployment model selection problem and introduces an established Lagrangian-relaxation-based optimization approach, combined with a novel greedy relieving-pooling heuristic, to facilitate model selection.

This study identifies the optimal deployment model for a representative instance using real test-bed data from the US, demonstrating the private cloud deployment model selection problem. Various numerical examples are analyzed to explore the influence of environmental parameters. Generally, the virtual PC model is optimal for low demand arrival rates and resource requirements, while the on-premises PC model is preferable for higher values of these parameters. Additionally, the virtual PC model is found to be optimal when enroute latency coefficients are large.

This study contributes to the literature by formulating an optimization problem that integrates performance, financial, and assurance metrics for enterprises. The introduction of a solution approach enables enterprises to make informed decisions regarding ownership and responsibility design. The study effectively bridges the gap between academic research and industry demands from a business perspective.

Based on the online brand community, this study focuses on how online brand community experience affects customer voice and discusses the relationship between community engagement and community commitment. Specifically, we examine the mediation effect of community engagement between community experience and customer voice and also the moderation role of community commitment.

The survey data is collected through the online survey of people who participate in the online mobile phone brand community. In total, 369 members of online community users (Huawei and Apple communities) were collected as the research samples. Then the structural equation model analysis was tested through the SPSS 25 and Mplus 7 in a two-stage analysis program.

The results show that (1) customer online brand community experience has a positive impact on customer voice; (2) community engagement mediates the positive relationship between online brand community experience and customer voice; and (3) community commitment plays a moderating role between customer experience and customer voice. Compared with low level customer's community commitment, when customer's community commitment is high, the level of community engagement has a greater mediation effect on the positive relationship between community experience and customer voice.

On the one hand, the model of customer community experience to customer voice built in this paper has not been fully validated. Whether the model can get more robust results needs to be extended to more different community scenarios. On the other hand, this paper is actually cross-sectional data, which cannot strictly reveal the causal relationship. The authors recommend that future research may use other research methods to further reveal its internal mechanism.

This paper shows that customer's community experience has an important impact on customer voice behavior. Among them, information experience and sociability remain as the important factor affecting customer voice behavior, which is quiet important for maintaining brand community and product or service improvement. Brand community managers need to consistently create multiple forms of information presentation and interaction channels to enhance the information and social experience of community members.

First, this paper puts forward a new perspective on customer comments or feedback-customer voice, which provides a solid foundation and reference value for future scholars to explore such important phenomena. Second, the relationship between community experience and customer voice behavior was examined, which enriched the research on community experience and also discovered another positive significance of community experience in community construction. Finally, the authors examine the mediation effect of community engagement on customer voice behavior. Community engagement is one of the important indicators that reflexing community performance, which is of great significance to the brand community.

The present investigation aimed to evaluate the influence of envy on the predisposition to innovative behavior, starting from a conceptual model that considers not only the direct influence of envy but its indirect influence through ostracism and alignment with the negative behaviors of superiors.

Using a survey applied to 168 individuals, a conceptual model was developed based on the relationship ignored in the literature between envy and innovative behavior. The model was validated using the multivariate statistical technique of structural equation modeling with partial least squares estimation (Partial least squares structural equation modeling [PLS-SEM]).

The results of the study suggest that envy not only has a direct positive influence on alignment with negative boss behaviors and ostracism, but also an indirect influence on ostracism mediated by alignment with negative boss behaviors. Another important result of the present investigation refers to the negative effect of envy on the predisposition to innovative behavior. The results suggest that the greater the envy, the lower the innovative behavior.

This research provides evidence that envy can act as a barrier to innovation by triggering counterproductive behaviors such as ostracism and a decrease in predisposition to innovative behaviors, either due to innovative individuals prematurely exiting the organization or due to them lessening/dampening their innovativeness to avoid the negative consequences. Given this scenario, it becomes necessary to increase managerial awareness on the subject to manage negative emotions to promote the conditions for organizational innovation.

The present research contributes in both practical and theoretical ways to understanding the effects of envy on the predisposition to innovative behavior. Adding to this, this research represents a conceptual advance by linking envy to innovative behavior, providing a promising avenue for extending the psychological relevance of the envy construct to organizational and management studies, which are generally positive, normative and outcome-oriented.

This study aims to investigate the erosion wear rate of a stainless steel automobile exhaust manifold, both computationally and physically.

The experiment was performed on a motorcycle exhaust manifold as well as on a 3D model, created using SolidWorks 2022 CAD software. The analysis was later achieved using ANSYS 19.2 simulation software using Fluent – code.

The analysis of solid particle erosion in the exhaust manifold revealed that erosion wear is concentrated predominantly at the extrados of the manifold, with the most significant wear occurring at the lowermost bend. The erosion wear rate increases with larger particulate sizes and varies among bends, with negligible wear observed in straight pipes. The SEM analysis further confirmed surface degradation, with rugged textures, pits and grooves indicating abrasive wear. Spine-like structures and fractured soot particles suggest erosive and abrasive forces caused by high-speed contact of exhaust gas compounds. Energy dispersive X-ray spectroscopy revealed significant carbon abundance, indicating carbonaceous compounds from fuel combustion, along with notable amounts of oxygen and iron, typical of oxidized metallic constituents. The discrete phase modeling (DPM) analysis highlighted peak particulate matter deposition at the first bend exit, with maximum concentrations observed at specific angles. This deposition is influenced by centrifugal force, leading to increased PM concentration at outer bend walls. Velocity magnitude contours showed asymmetrical flow profiles, with high turbulence levels and secondary flow induced by centrifugal effects in bend areas. Dynamic pressure contours revealed varying pressures at intrados and extrados, with maximum pressure observed at the intrados of the manifold’s bends. These findings provide valuable insights into erosion wear, particulate dispersion and flow dynamics within the exhaust manifold.

The study investigated an automobile exhaust manifold model using ANSYS Fluent code and DPM to analyze erosion wear rate phenomena and its various constituents. This analysis was conducted in comparison with a physically eroded sample. The study offers insights into the mechanism underlying the exhaust manifold of an automobile.

The purpose of this paper is to examine the role of infrastructure on the income growth and poverty reduction of rural household in China by estimating the impact of road accessibility on the extent of household off-farm employment and its heterogeneous effects among the groups with different income level and earning capacity.

Using nationally representative panel data collected in 100 villages about 2000 households across five provinces in 2005, 2008, 2012, 2016 and 2019. This study adopts Tobit model with panel data, zero-inflated Poisson model and static nonbalanced panel model to yield consistent results.

We find that road accessibility generally has no effect on the number of off-farm laborers and duration of off-farm employment. However, road accessibility is not beneficial for the households in the low-income villages or with low educational attainment, but it benefits the households in the high-income villages by promoting local off-farm employment or with high educational attainment by increasing the duration of migrant off-farm employment.

This study identifies the heterogeneous effects of road accessibility on the extent of off-farm employment among rural households, which narrows the research gap and enriches the literature. The empirical findings imply that road accessibility widens the gap between rich and poor in off-farm employment, which is of great important to the alleviation of relative poverty after 2020 in China.