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Enhancing organizational citizenship behavior towards the environment
Organizational citizenship behavior towards the environment (OCBTE) represents an influential tool for environmental policy implementation in local...
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A picture’s worth a thousand shares: An empirical analysis of logo sizes in social media posts and their impact on content virality
Social media marketing is an established promotion strategy that offers firms extensive opportunities to nurture brand equity and to disseminate...
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Clustering with Minimum Spanning Trees: How Good Can It Be?
Minimum spanning trees (MSTs) provide a convenient representation of datasets in numerous pattern recognition activities. Moreover, they are...
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Incumbent inertia, innovativeness, and performance (dis)advantages: A demand-side learning perspective
Strategies of incumbent firms have received considerable attention in marketing and across business disciplines, but findings regarding performance...
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A New Matrix Feature Selection Strategy in Machine Learning Models for Certain Krylov Solver Prediction
Numerical simulation processes in scientific and engineering applications require efficient solutions of large sparse linear systems, and variants of...
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Don’t give me just positive feedback: How positive and negative feedback can increase feedback-based goal setting and proactive customer service behavior
How can managers use positive and negative feedback to encourage employees’ proactive customer service behavior (PCSB)? This question has significant...
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Using value co-creation behavior as a mediator to explore the influence of virtual tourism community characteristics on destination brand equity
This paper investigates the influence of community characteristics (community leaders’ enthusiasm and community members’ offline activities) on...
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The influence of taboo level on emotional versus rational user-generated messages
In least developed countries (LDCs), a multitude of social challenges persists, including child abuse, HIV/AIDS, and female genital mutilation. The...
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Complementarities between algorithmic and human decision-making: The case of antibiotic prescribing
Artificial Intelligence has the potential to improve human decisions in complex environments, but its effectiveness can remain limited if humans hold...
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RCEP regional value chain construction and global value chain position enhancement: a measurement analysis based on regional value chains
In order to study the characteristics of regional value chain (RVC) in RCEP, this paper constructs a regional value-added decomposition framework...
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Control of Online-Appointment Systems When the Booking Status Signals Quality of Service
We revisit a service provider’s problem to match supply and demand via an online appointment system such as a doctor in the health care sector. We...
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Cluster Validation Based on Fisher’s Linear Discriminant Analysis
Cluster analysis aims to find meaningful groups, called clusters, in data. The objects within a cluster should be similar to each other and...
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Star recruitment and internationalization effects: an analysis of the alexander von humboldt professorship programme
We investigate the impact of policies aimed at attracting foreign-based star scientists on the internationalisation of host institutions. In...
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The optimization approach for uncertainty assessment of the heating value of aviation fuel
Accurately determining the calorific value of aviation kerosene is crucial for optimizing aircraft engine efficiency and design testing. However,...
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Strategies for urban cycling: an analysis through generalized analytic induction
This study investigates the co-creation or co-destruction of value in the urban mobility ecosystem, focusing on the adoption of cycling in 25...
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Do users' pro-environmental personal norms hold significance in electronic payment adoption context?
The adoption of “Electronic Payment Systems (EPS)” presents an effective alternative for mitigating natural ecosystem degradation and serves as a...
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A New Look at the Dirichlet Distribution: Robustness, Clustering, and Both Together
Compositional data have peculiar characteristics that pose significant challenges to traditional statistical methods and models. Within this...
