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Why and for whom cyber incivility affects task performance? Exploring the intrapersonal processes and a personal boundary condition
Although cyber incivility (i.e., an interpersonal workplace stressor displayed through uncivil behaviors manifested in online working communication)...
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The trivial-task motivation effect: highlighting completion of an initial trivial task increases motivation for the main task
Respondents in online panels often lack motivation when completing research questionnaires. We propose a method to improve their motivation. In many...
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Emergent task allocation and incentives: an agent-based model
In recent times, organizations have increasingly adopted structures in which decision making is distributed rather than centralized. This approach...
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The Interplay of digitalization, organizational support, workforce agility and task performance in a blended working environment: evidence from Indian public sector organizations
Dynamic changes in business environment due to unforeseen factors such as COVID-19 pandemic may pose a threat to business continuity of an...
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Optimizing emission reduction task sharing: technology and performance perspectives
One effective way to achieve emission reduction targets is to allocate overall emission reduction tasks among regions. However, existing AEP...
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High Task Performers Reduce Labor: A Self-Consistency Model of Organizational Exploitation
In this study we draw on self-consistency theory and examine the effects of perceived organizational exploitation on employees’ intention to leave,...
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The bundled task assignment problem in mobile crowdsensing: a lagrangean relaxation-based solution approach
This paper studies the Bundled Task Assignment Problem in Mobile Crowdsensing (BTAMC), a significant extension of the traditional Task Assignment...
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NOWJ at COLIEE 2023: Multi-task and Ensemble Approaches in Legal Information Processing
This paper presents the NOWJ team’s approach to the COLIEE 2023 Competition, which focuses on advancing legal information processing techniques and...
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Collaborative optimization of manufacturing service allocation via multi-task transfer learning evolutionary approach
Industrial internet platforms are regarded as an emerging fashion for the flexible integration of production resources located in multiple sites to...
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Remote Working and Task Innovativeness – an Integrated Resource Based View and Antecedent-Behaviour-Consequence Perspective
In response to the COVID-19 pandemic, organisations across the world have been adopting different strategies, including remote working (RW), to...
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Improving scheduling in multi-AGV systems by task prediction
Automated guided vehicles (AGVs) are driverless robotic vehicles that pick up and deliver materials. Finding ways to improve efficiency while...
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Task allocation model for human-robot collaboration with variable cobot speed
New technologies, such as collaborative robots, are an option to improve productivity and flexibility in assembly systems. Task allocation is...
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Digital Facilitation of Group Work to Gain Predictable Performance
Group work is a commonly used method of working, and the performance of a group can vary depending on the type and structure of the task at hand....
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Mathematical modeling for further improving task scheduling on Big Data systems
In the big data era which we have entered, the development of smart scheduler has become a necessity. A Distributed Stream Processing System (DSPS)...
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Qualitative and quantitative characterization of powder bed quality in laser powder-bed fusion additive manufacturing by multi-task learning
Poor quality consistency is a challenge in the field of additive manufacturing, necessitating the development of online monitoring for the additive...
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Multi-task Chinese aspect-based sentiment analysis framework for service improvement: a case study on BNB reviews
User-generated content has become an essential factor influencing customer choice in the selection of hotel and bed and breakfast (BNB)...
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Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing
Crowdsourcing holds great potential: macro-task crowdsourcing can, for example, contribute to work addressing climate change. Macro-task...
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A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties
Optimization along the chain processing-structure-properties-performance is one of the core objectives in data-driven materials science. In this...
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Negative feedback change and employee performance: A goal-setting theory perspective
Although negative feedback is a dynamic phenomenon that changes over time, most research has taken a static approach to its analysis. In this study,...
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Multicriteria task classification in human-robot collaborative assembly through fuzzy inference
The advent of new technologies and their implementation in manufacturing is accelerating the progress of Industry 4.0 (I4.0). Among the enabling...
