Co-consumption sharing economy platforms digitally connect strangers for mutually beneficial co-consumption of services, such as ride sharing or home sharing. In addition to efficiency gains, this is particularly relevant for the sustainable use of resources. While digital platforms have become efficient at building trust in third-party providers, co-consumption service experiences require rapport between individuals-an intersubjective fit between a client and a provider that cannot be ensured in advance by guarantees or ratings. Little is known about the role of uncertainty concerning rapport when brokering co-consumption services and how platform design can cater to users' need for rapport. This study therefore introduces rapport uncertainty as a two-dimensional construct consisting of interaction uncertainty and connection uncertainty and draws on the service literature to derive a research model that captures the role of design features in mitigating rapport uncertainty. Our experimental study reveals that rapport uncertainty is a key determinant of platform use beyond technical and environmental uncertainties and demonstrates how platform design can reduce rapport uncertainty and facilitate transactions in co-consumption environments.
This study, conducted as a registered report, investigates how expectancy beliefs and task values predict diagnostic performance in simulation-based learning environments for prospective teachers and physicians. Using a meta-analytic approach, we analyzed individual participant data from 16 studies (N = 1,492) conducted within a single research unit. Despite the homogeneity in measures and methodologies, measurement invariance analyses revealed two clusters of studies (Cluster 1: nine studies, Cluster 2: five studies) with differing patterns. For expectancies for success and diagnostic accuracy, the aggregated Fisher's z correlation was .07 (p = .03, 95% CI [.01, .13]) in Cluster 1 and -.04 (p = .63, 95% CI [-.18, .11]) in Cluster 2. For utility value and diagnostic accuracy, the correlations were .14 (p < .05; 95% CI [.02, .26]) and .08 (p = .10; 95% CI [-.01, .18]), respectively. The interaction between expectancy beliefs and utility value showed weak, inconsistent, and nonsignificant relations with diagnostic accuracy in both clusters. Findings also varied depending on whether motivational variables were assessed at a task-specific or more general level. No differences emerged between teacher and medical education contexts. These findings highlight the context-dependency of motivational processes and suggest that variations may stem from the situated nature of learning environments and how constructs are operationalized. The results also emphasize the need to tailor interventions to specific learning contexts and caution against generalizing from single studies. Overall, our study underscores the situated nature of expectancy-value frameworks and the importance of multistudy syntheses in understanding their role in professional education.
Research on employee green behavior (EGB) has garnered increasing attention as scholars seek to understand how employees can contribute to organizational greening. Despite considerable interest in the antecedents of EGB, the challenges and tensions that emerge as individuals engage in voluntary EGB remain underexplored. Drawing on survey data from 388 respondents across 74 teams, the results indicate that voluntary EGB is a major driver of tension salience within teams. Furthermore, we find that this relationship is moderated by the extent to which team colleagues encourage one another to engage in green behavior. These findings highlight the critical role of teams as the social context in which voluntary EGB occurs and suggest a task-conflict nature of sustainability-related tensions within teams. The pertinent question thus appears to be no longer whether employees are willing to engage but rather which green activities they should prioritize as they face resource constraints while striving toward a common goal.
The literature controversially discusses the ambiguous motives and driving forces behind HFT market typical very fast up and down jumps of the order book prices - so-called fleeting orders. In particular, manipulative and dysfunctional characteristics are feared. We show with an ultra-low latency derivative data set that none of these properties have to be dreaded. On the contrary fleeting orders are associated with liquid market environments. The prices of fast flickering order books improve by 3:90% before trades. The results of our Cox proportional hazard rate, logistic, and linear regressions reveal that flickering quotes are likely due to beneficial price discovery processes and inventories of HFTs offered at a discount to other participants.
The degradation of soil health due to intensive pesticide application has emerged as a critical global challenge, undermining ecological sustainability and agricultural productivity. In regions of high agronomic activity such as Dehradun, India, unsustainable practices including monocropping and excessive agrochemical inputs have been implicated in the decline of soil fertility and microbial diversity. This study employs 16S rRNA gene (V3-V4) amplicon-based sequencing to characterize shifts in bacterial community structure for agricultural farming and non-farming soils. Complementary physicochemical analyses revealed significant associations between soil health parameters and microbial community dynamics. Taxonomic profiling revealed distinct microbial signatures in pesticide-contaminated soils, with a notable enrichment of the phyla Proteobacteria, Acidobacteria, Firmicutes, and Actinobacteria. Dominant genera such as Bacillus sp., Chungangia sp., and Streptomyces sp. were identified, indicating their potential functional roles in biogeochemical cycling and adaptive resilience under chemical stress. Functional prediction using PICRUSt2 highlighted key microbial pathways associated with amino acid synthesis, fatty acid synthesis, degradation of aromatic compound, and other essential biochemical processes. These findings highlight the ecological significance of microbial communities in maintaining soil functionality and offer insights into the development of sustainable land management strategies in pesticide-impacted agroecosystems.
