Abstract Municipalities traditionally deliver stormwater infrastructure through a design–bid–build (DBB) model, in which planning, engineering design, and construction are executed sequentially and contracted separately. However, given the substantial investment required and the significant consequences of ineffective stormwater management systems, the public sector is prompted to seek alternative approaches to the delivery and maintenance of these assets. This study empirically assessed the community-based public–private partnership (CBP3) model for stormwater asset delivery and maintenance, as implemented in the Clean Water Partnership (CWP), focusing on its governance structure, management mechanisms, and socioeconomic outcomes. A qualitative approach was adopted to enable an in-depth examination of the model through participant perspectives and documented evidence. A thematic analytical method was employed to analyze data collected from 49 sources, including the published literature, technical reports, fact sheets, permits, contract documents, and news articles related to the CWP. In addition, semistructured interviews were conducted with nine principal actors directly involved in structuring the partnership and defining its milestones and performance objectives. Findings show that the CBP3 model enables a collaborative, performance-driven governance structure that integrates public agencies, private partners, third-party auditors, and community stakeholders. The model demonstrates enhanced implementation efficiency, strong alignment with regulatory objectives, and significant socioeconomic benefits, including high levels of participation by local and minority businesses. This positions CBP3 as an effective and scalable framework for delivering resilient, equitable, and community-centered green stormwater infrastructure (GSI) assets.
This study challenges the assumption that greater job clarity always benefits service employees. Drawing on selfdetermination theory and the Too-Much-of-a-Good-Thing framework, we test a moderated curvilinear mediation model linking job clarity, career satisfaction, and creativity, with career calling as a boundary condition. Using three-wave, multi-source data from 164 supervisor-employee dyads in Chinese hotels, results reveal inverted Ushaped relationships between job clarity and both career satisfaction and supervisor-rated creativity. Career satisfaction mediates this curvilinear effect. Moreover, career calling amplifies the curvature-employees high in calling gain greater motivational and creative benefits as clarity increases but experience sharper losses at very high clarity levels. These findings position job clarity as a dynamic and context-dependent resource, offering theoretical and managerial insights for fostering creativity and well-being among hospitality employees.
Ethanol emitters often consisting of a petroleum-based sachet filled with silica dioxide have been used as packaging inserts to prevent postharvest disease growth, thereby extending produce shelf life. Due to concerns about the environmental and health impacts of plastics, bio-based, biodegradable, and non-toxic materials are desired in packaging. This study aimed to develop an environmentally friendly ethanol emitter consisting of ethanol-releasing shellac-coated bagasse paperboard and validate its effectiveness against fungal growth in packaged strawberries. Bagasse paperboard (BP) coated with single to multiple layers of shellac with trapped ethanol were developed using the bar coating technique and assessed for ethanol release using gas chromatography as affected by layering, temperature, time, and water-rich products. The in-vitro effectiveness assessment of the new ethanol emitter was performed using Botrytis cinerea and Penicillium spp., grown on Petri dishes within bioassay systems with and without the emitter for 7 days at 23 degrees C. The best performing emitter released up to 14,179 mu L L-1 of ethanol vapor in a Pseudo-Fickian diffusion release pattern, reducing the growth of Botrytis by > 98% for 7 days and Penicillium by 50% for 4 days inside the bioassay systems. A 5-day shelf-life study of strawberries, infected with Botrytis cinerea and stored in sealed plastic packages on BP, showed that surface decay was reduced by 30% and internal decay was even more impacted in the presence of ethanol-releasing shellac-coated BP. The emitter also delayed strawberry darkening and had no effect on respiration, transpiration, and firmness. This study demonstrates the potential of a bio-based/biodegradable and non-toxic ethanol emitter on extending strawberry shelf life.
This research intends to analyze the impact of big data analytics capability (BDAC) toward supply chain innovation (SCI) and competitive advantage (CA) where green supply chain management (GSCM) performs the moderating role. A theoretical model was created, and hypotheses were formulated to investigate the links between these variables. Data collection was carried out through a survey of supply chain managers in manufacturing plants in Bangladesh. Total 341 valid responses were collected and analyzed with the method of partial least squares structural equation modeling (PLS-SEM) in WarpPLS. The findings of the study offer insights into how business can use BDAC to achieve SCI and CA. The results indicate that BDAC has a potential impact regarding a firm’s ability to enhance CA and SCI. Moreover, the moderating function of GSCM was examined, which was found to be a significant influence on one of these relationships. However, the industry age as a control variable was found to have no apparent impact on SCI or CA. The study also establishes the critical role of SCI in turning analytical skills into competitive results and partially mediates the relationship between BDAC and CA. In sum, this research illustrates how businesses can employ data-driven skills to increase productivity in complex and dynamic supply chain environments against the backdrop of a case study.
This paper investigates whether individual CEOs and CFOs have fixed effects on firm-level future stock price crash risk. We find that both CEOs and CFOs exhibit such fixed effects, and these effects remain robust across various tests. Additionally, we observe that CEOs' fixed effects are stronger than those of CFOs. And there is some marginal evidence that the executives' fixed effects are less pronounced in firms with better information environment quality. Finally, consistent with the influence of managers' fixed effects, we find that CEOs' professional qualifications (e.g., MBA, JD, and CPA) and CFOs' family status and military experience are associated with stock price crash risk.
