Previous studies have mainly focused on the detrimental effects of illegitimate tasks as ubiquitous workplace stressors while ignoring the appraisal measures for such tasks. The term “illegitimate” is used by employees to describe the ali...
Cyberloafing as a production deviance behavior raises organizational concerns. Unfortunately, it is unknown how to minimize cyberloafing from a bottom-up perspective, particularly different types of cyberloafing. This study draws on the job crafting...
Little is known about the predictive role of advice networks in task crafting despite the growing academic and practical interest in its antecedents. Accordingly, as centrality in advice networks is expected to have a positive relationship with task...
The purpose of this study is to examine how employees’ artificial intelligence awareness (AIA) influences adaptive performance in the workplace through the mediating roles of eustress and task crafting within the Job Demands–Resources (JD...
In increasingly ambiguous work contexts, advice-seeking and task crafting behaviors are becoming more significant than ever before. Drawing on the uncertainty reduction theory, this study examined how role ambiguity would affect advice-seeking and ta...
Job crafting refers to physical and cognitive changes in task or relational work boundaries, enacted by individuals to recreate their work experience in a more motivating and rewarding way, and to realize self-actualization, growth, and meaning at wo...
Considering that the impacts of task crafting on task performance are not uniform and may depend on goal congruence, this study attempted to explore the roles of affective commitment in individual–organizational goal congruence and strategic al...
28 March 2021
As an emerging Chinese indigenous leadership style, paradoxical leadership has received considerable attention from researchers. Many studies have demonstrated the positive impact of paradoxical leadership on employees, teams, and organizations; howe...
Complementing the traditional focus in work design on “top-down” organizational interventions, research into proactive work behavior suggests that “bottom-up” processes, based on the “micro-emancipatory” actions em...
14 March 2025
In recent years, changing working conditions have placed high demands on employees, resulting in increased work intensity, which may affect employees’ health and performance. Based on job and personal resources, individual behaviors help to cop...
5 October 2022
Job crafting is considered a specific form of proactive behavior whereby workers actively change the actual or perceived characteristics of their jobs in order to better match the demands placed on them and the resources available. As nursing could b...
19 December 2019
This study examined the effect of the fit between personality (i.e., openness to experience) and core job characteristics (i.e., skill variety, task significance, and task identity) on job crafting. We collected survey data from 200 college students...
In order to better understand the social aspects of job crafting, this study explores the direct and interactive effects of leader–member exchange (LMX) and team-member exchange (TMX) on three types of job crafting (i.e., task, relational, and...
The aim of this research was to identify individualization areas in which employees (generations Y and Z) have the freedom to make changes. The study required an analysis of factors that might affect the balance between professional and personal life...
5 June 2020
Nurses are key professionals in healthcare sectors, whose job attitude is closely associated with patient health outcomes and safety. Job crafting describes how workers shape their tasks to find a sense of meaning and value in their work. This study...
The aim of this study was to compare the performance of two semi-trained panels with different degrees of self-reported beer involvement in terms of beer consumption pattern. The two panels were beer non-drinkers (indicating willingness to taste beer...
The present study examines the effect of work engagement (WENG) on task-related pro-environmental behavior (TPEB) and green creativity, with job crafting as a mediator. Based on data collected from 187 customer-contact hotel and restaurant employees...
28 September 2018
The importance of work engagement and the lack of engaged employees have led researchers to focus on how to enhance employees’ levels of engagement in the workplace. Although job crafting as a principal driver of work engagement has recently re...
Various contemporary studies have revealed a heightened need for the implementation of effective strategies to reduce labor shortages in the construction industry. The subsequent investigation outcomes have identified multiskilling labor strategies a...
The main purpose of this study was to investigate whether work engagement mediates the relationship between job crafting and job performance. To this end, the following hypotheses were formulated: (1) job crafting establishes a positive and significa...
The digitalization of the construction industry (CI) has the aim—among others—to raise the bar of overall productivity. The craft workforce is very relevant on the overall value-chain. Therefore, a boost in this dimension impacts the enti...
Labor Union activity still lacks recognition as an ordinary work activity. However, on the one hand, labor union representatives must deal with many tasks (internal and external) that can sometimes be overwhelming. On the other hand, given its vocati...
Background: This article introduces SC-Phi2, a fine-tuned StarCraft II small language model. Small language models, like Phi2, Gemma, and DistilBERT, are streamlined versions of large language models (LLMs) with fewer parameters that require less com...
In the volatile, uncertain, complex, and ambiguous environment (VUCA), employees can better match the organization and jobs by crafting their job perceptions, work tasks, and relationships, which is valuable to maintain organizational sustainable com...
17 September 2020
There is growing acceptability in redesigning jobs to achieve goals and objectives nowadays. Employees who indulge in exploiting and exploring opportunities for the business tend to craft their jobs, which can help to enhance business performance. Th...
Convolutional neural networks (CNNs) have shown decent performance in a variety of computer vision tasks. However, these network configurations are largely hand-crafted, which leads to inefficiency in the constructed network. Various other algorithms...
Music performance assessment is a highly subjective task often relying on experts to gauge both the technical and aesthetic aspects of the performance from the audio signal. This article explores the task of building computational models for music pe...
Emotion recognition from speech may play a crucial role in many applications related to human–computer interaction or understanding the affective state of users in certain tasks, where other modalities such as video or physiological parameters are un...
Empowering leadership can provide more resource support for organizations and better match the characteristics of current knowledge employees, such as a high demand for autonomy and pursuit of value diversification. However, existing literature has n...
15 June 2020
(1) Background: Both employees and organizations benefit from a work environment characterized by work engagement and job satisfaction. This study examines the influence of work-group social capital on individuals’ work engagement, job satisfac...
In order to reveal the impact of boundary-spanning activities of cooperative innovation teams on team innovation performance, this paper takes the panel data of 71 cooperative innovation teams from January to November 2022 as the research sample. It...
This research focused on the effect of employee competences on job crafting in a mature organization, but the levels of self-organization, job satisfaction and job redesign were also investigated. In order to assess the relationship between variables...
This article presents a comprehensive collection of formulas and calculations for hand-crafted feature extraction of condition monitoring signals. The documented features include 123 for the time domain and 46 for the frequency domain. Furthermore, a...
In the realm of LiDAR-based place recognition tasks, three predominant methodologies have emerged: manually crafted feature descriptor-based methods, deep learning-based methods, and hybrid methods that combine the former two. Manually crafted featur...
This study examines the impact of ESG strategies on sustainable performance in multinational enterprises (MNEs), with a particular focus on the mediating role of internal market-oriented culture (IMOC) and the moderating effect of job crafting. To va...
DeepFake detection is a novel task for media forensics and is currently receiving a lot of research attention due to the threat these targeted video manipulations propose to the trust placed in video footage. The current trend in DeepFake detection i...
In this paper, we consider an information bottleneck (IB) framework for semi-supervised classification with several families of priors on latent space representation. We apply a variational decomposition of mutual information terms of IB. Using this...
In the past decade, time series data have been generated from various fields at a rapid speed, which offers a huge opportunity for mining valuable knowledge. As a typical task of time series mining, Time Series Classification (TSC) has attracted lots...
A vision-based autonomous driving perception system necessitates the accomplishment of a suite of tasks, including vehicle detection, drivable area segmentation, and lane line segmentation. In light of the limited computational resources available, m...
Despite deep neural networks (DNNs) having achieved impressive performance in various domains, it has been revealed that DNNs are vulnerable in the face of adversarial examples, which are maliciously crafted by adding human-imperceptible perturbation...
Multi-agent reinforcement learning (MARL) has proven to be effective and promising in team collaboration tasks. Knowledge transfer in MARL has also received increasing attention. Compared to knowledge transfer in single-agent tasks, knowledge transfe...
The allure of team scale and functional diversity has led to the promising adoption of heterogeneous multi-robot systems (HMRS) in complex, large-scale operations such as disaster search and rescue, site surveillance, and social security. These syste...
Current changes in social structures and political-economic systems directly affect teachers’ job performance. Among others, these changes include changes in communication and information technologies, the scientific revolution, changes in the...
Teaching students awareness about sustainable mobility has been lacking to date. There is a need to expand the themes being addressed in order to achieve a change in attitude. Society needs to design a curriculum that teaches about sustainable mobili...
Person re-identification (Re-ID) has attracted attention due to its wide range of applications. Most recent studies have focused on the extraction of deep features, while ignoring color features that can remain stable, even for illumination variation...
Considered the world’s largest industry, manufacturing transforms billions of raw materials into useful products. Like all real processes and systems, manufacturing processes and equipment are subject to the first and second laws of thermodynam...
Benefiting from the rapid development of computer hardware and big data, deep neural networks (DNNs) have been widely applied in commercial speaker recognition systems, achieving a kind of symmetry between “machine-learning-as-a-service”...
Pre-trained models have played important roles in many tasks, such as domain adaptation and out-of-distribution generalization, by transferring matured knowledge. In this paper, we study Neural Architecture Search (NAS) in the feature space level and...
In the domain of multi-agent reinforcement learning, conventional algorithms such as VDN, QMIX, and QTRAN have exhibited favorable performance in static task scenarios. However, these algorithms encounter challenges due to their limited capacity to m...
Recent advances in big data systems and databases have made it possible to gather raw unlabeled data at unprecedented rates. However, labeling such data constitutes a costly and timely process. This is especially true for video data, and in particula...
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