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Employees' personal Internet usage (PIU) has become increasingly common at work. It is important for both researchers and managers to understand how PIU affects employee creative performance. This study aims to examine what kind of PIU is likely to increase or decrease employee creative performance and why. The authors also examine a potential boundary condition for the effect of PIU on employee creative performance.

Based on conservation of resource (COR) theory and broaden and build theory, the authors investigated the impact of two types of PIU, namely within-task PIU and between-task PIU, on the creative performance of knowledge workers. The authors conducted a daily diary study and surveyed 107 knowledge workers in China over 10 consecutive working days (n = 1,070) to test the model.

The authors find that within-task PIU reduces knowledge workers' creative performance by decreasing the workers' positive emotion, whereas between-task PIU promotes the performance by increasing positive emotion. The above relationships become stronger when knowledge workers perceive a higher level of organisational support.

The authors' study makes theoretical contributions by advancing researchers' understanding of the situations in which PIU may decrease or increase employee creative performance. The findings are also useful for developing organisational policies to take advantage of the positive side of PIU whilst avoiding PIU's negative side.

This research seeks to reveal the mediating role of work engagement and affective commitment as individual aspects that have the potential to bridge the effect of empowering leadership on the task performance of Correctional Service counselors in Indonesia, especially due to the limited literature on these two aspects in the context of public organizations.

Quantitative research was conducted on 350 counselors throughout Indonesia. The data was collected by distributing questionnaires online. The collected data were then analyzed using Structural Equation Modeling to test the seven research hypotheses.

Empowering leadership significantly strengthens task performance, work engagement and affective commitment. For indirect effects, this study found that affective commitment partially mediates the effect of empowering leadership on task performance. Meanwhile, work engagement failed to act as a mediator because it did not significantly impact strengthening task performance.

Notably, the unexpected result of work engagement's inability to significantly boost task performance deviates from the prevailing trends observed in previous empirical research, thereby adding a novel dimension to the findings of this study.

Artificial intelligence (AI) can assist in the worldwide shortage of cybersecurity workers in technical and managerial roles. Thus, the purpose of this study was to investigate the role of AI in automating many of the routine tasks associated with cybersecurity. As such, AI enables cybersecurity personnel to reduce their workloads and focus on more strategic aspects of their work.

This study is an exploratory field study. The authors started by conducting a literature review to assess the possibility that AI tools can provide and how they can improve cybersecurity efficacy. Following this, the authors identified the specific core tasks for two cybersecurity work roles (technical and managerial) and searched for specific commercial tools that can perform each of the tasks. Then, the authors used the free ChatGPT 3.5 to list the current cybersecurity systems that use AI for the associated tasks, which the authors then reviewed with the tools’ documentation and websites to confirm these tasks were conducted or assisted by AI.

Results indicated that all 14 cybersecurity tasks of the technical work role are currently noted to be performed by commercial cybersecurity systems with AI-integrated capabilities, while only 11 of the 17 managerial work role tasks currently appear to be performed by AI.

The rapid integration of AI capabilities into commercial cybersecurity systems may suggest that the cybersecurity workforce must be currently trained on how to use AI tools in their daily operations, especially as it pertains to technical cybersecurity work roles.

The cybersecurity workforce shortage is reported to exceed four million cybersecurity workers worldwide in 2023. Thus, further understanding of the role of AI in improving the efficiency of technical and managerial cybersecurity tasks is significant.

The value of this research lies in the initial assessment of the current AI capabilities of commercial cybersecurity systems, which will ultimately provide the “super-human” performances resulting from human-AI teaming.

Based on the conservation of resources (COR) theory, we investigate antecedents and consequences of work meaningfulness.

We used survey data from employees in various South Korean organizations and applied Structural Equation Modeling (SEM) and a bootstrapping procedure to test our proposed model.

We found that employees’ perceptions of their jobs’ social impact and task variety are positively related to work meaningfulness, which leads to higher levels of innovative behavior. We found that work meaningfulness mediates the effects of employees’ perceived social impact and task variety on their innovative behaviors.

Our study contributes to the positive psychology literature by identifying work meaningfulness as a critical underlying mechanism in explaining the relationship between task variety, perceived social impact, and innovative behavior.

While previous research in career studies has highlighted the positive impact of several leadership behaviors on followers’ work and career success, less is known about how the emergent topic of inclusive leadership shapes followers’ task performance. Using an inclusive leadership approach and job demands-resources theory, we developed a novel sequential mediation model in which inclusive leadership indirectly facilitates followers’ performance through self-initiating behavior and work motivation. Specifically, we aimed to investigate whether inclusive leaders encourage followers to show enhanced task performance through strengths use and work engagement.

A representative sample of 278 Dutch employees from diverse organizations was surveyed at three different time points.

The results of structural equation modeling evidenced that inclusive leadership was indirectly related to follower task performance, initially through the utilization of strengths and subsequently through work engagement over time. When leaders exhibited behaviors that were inclusive in nature, they encouraged their followers to make use of their strengths at work. Such leadership actions boosted the work engagement of their followers and led to enhanced task performance.

We develop and test a novel sequential mediation model that explores how inclusive leadership fosters improved task performance among followers by promoting the utilization of strengths and subsequent work engagement. This sheds light on the mechanisms through which inclusive leadership contributes to follower performance, a crucial indicator in shaping sustainable career trajectories.

This study aims to provide a nuanced understanding of the relationship between task-technology fit and employee innovative behavior, as well as the role of creative self-expectations.

Hierarchical regression analysis was used to test the proposed multilevel model on a sample of 407 employees working in Chinese companies.

Task-technology fit stimulates employee innovative behavior through the regulation of creative self-expectations and positive emotions. When creative self-expectations is low, the promoting effect of task-technology fit on innovative behavior is enhanced. However, when creative self-expectations is too high, this effect is reversed due to employees’ preference for challenging and complex work.

In the process of enterprise digital transformation, managers should not only focus on the alignment between employees' skills and individual task expectations, but also pay attention to employees' emotions and individual trait differences, to enhance the likelihood of innovative behavior occurrence and achieve successful enterprise digital transformation.

This study enriches the research on task-technology fit and provides recommendations for organizations to achieve digital transformation.

The adaptive performance of architects as a key professional in project delivery teams has become important for developing strategies, skills and cognitive behaviours for sustainability of working systems. However, the understanding and knowledge of adaptive performance of architects is lacking in the current literature. Thus, this study fills this gap by primarily assessing the adaptive performance of architects in project teams in project delivery.

By adopting the widely used eight-dimension attributes of adaptive performance, a questionnaire survey was conducted among team participants and stakeholders who directly or indirectly work on projects with architects in the public and private sectors project delivery supply chain in Ghana. A total of 42 responses were subsequently used in a fuzzy set theory analysis being facilitated by a set of linguistic terms.

From the assessment, the overall adaptive performance of architects from the eight-dimension attributes emerged to be fairly high. Additionally, the architects’ performance in the individual eight-dimensions showed varied results. High performance was registered in architects’ ability to handling work stress and cultural adaptability. Also, architects demonstrated a fairly high performance in dealing with uncertain or unpredictable work situations. However, in the cases of learning work tasks, technologies and procedures, interpersonal adaptability and handling crisis and emergency situations, architects were deemed to have low and fairly low adaptive performance among project teams.

Given the vagueness and complexities in understanding adaptability among teams and its assessment, through the use of fuzzy set theory based on a suitable set of linguistics terms, the study presents a novel understanding of the level of architects’ adaptive performance in project teams in project delivery. The findings are extremely useful in helping architects adapt and cope with changing competitive work environment by developing the right cognitive behaviours for task functions and organizational roles, disruptions and aiding their ability to self-regulate.

This paper aims to investigate how perceived working conditions affect employee performance, including safety compliance and task performance, through employee well-being (i.e. job satisfaction) in the context of the coal mining sector in China.

This paper uses the job demands-resources model to test the relationships between working conditions, including job demands (work pressure as a challenge demand and perceived risks and hazards in the workplace and ineffectiveness of the safety system as hindrance demands), job resources (interpersonal harmony), job satisfaction and performance. This study adopts a two-wave design with a three-month lag to reduce possible common method bias.

Employees who experienced high level of challenge demands, e.g. time pressure workload, reported higher levels of task performance, and this positive relationship seemed to be robust. There is a direct effect of perceived ineffectiveness of the safety system on task performance, while the relationship between perceived risks and hazards and task performance was fully mediated by job satisfaction. Challenge demands, i.e. work pressure, did not impact much on employees’ well-being, and thus job satisfaction did not mediate the relationship between work pressure and performance. Perceived ineffectiveness of the safety system was negatively associated with safety compliance. This result is not surprising since a lack of effective safety system reflects management’s ignorance of workplace safety, which demotivates employees to enact safe behaviors. In contrast, the presence and implementation of an effective safety system would be interpreted by employees as management exhibiting a high level of commitment. Work pressure was positively not negatively related to safety compliance. One possible explanation for this finding is that the effects of work pressure on safety compliance behaviors might be dependent on contextual factors such as safety climate. Interpersonal harmony moderated the relationships between work pressure and employee performance (both safety compliance and task performance) and the relationship between perceived risks and hazards and task performance, but the role of interpersonal harmony appeared more complex. There was no significant correlation between challenging job demands and individual employee performance when there were higher levels of interpersonal harmony. The relationship between perceived risks and hazards, a hindrance job demand and task performance became positive as interpersonal harmony increased but negative as interpersonal harmony decreased.

This paper provides a robust integrative theoretical framework that better explains the various types of job demands and job resources in the working environment of coal mining sector in China and their relationships to employee performance. The findings also offer valuable guidance for managers trying to identify effective ways to enhance employee performance and safety in the workplace.

The purpose of this paper is to develop and test an integrated model to examine the relationship between work engagement and three facets of perceived job performance (PJP). The authors argue that work engagement might not optimally improve PJP unless it is channelized through information and communication technology orientation.

Data for the present research were collected from higher educational institutes in the northern region of India by using a convenient sampling technique. Results of structural equation modeling (SEM) through AMOS 20 revealed that work engagement facilitates all three facets i.e. task performance, contextual performance and adaptive performance of teaching professionals. Furthermore, SEM results established the partial mediating effect of information and communication technology orientation between work engagement, task performance, contextual performance and adaptive performance.

Findings from present research contribute theoretically as well as practically to job performance and work engagement literature by giving insights to administrators and practitioners on how to improve the overall job performance of teaching professionals by enhancing their engagement and addressing their need for digital know-how.

To the best of the authors’ knowledge, this study is one of the first to study the impact of work engagement and information and communication technology on the three facets of PJP using a diverse sample of 1030 teachers from universities in North India.

The construct of meaningful work is a relevant topic for the managerial literature interested in job design, employees’ motivation, and job performance. The current research seeks to improve our knowledge on meaningful work by exploring the processes by which a workday is experienced as meaningful.

Adopting the lens of the Job Demands-Resources model and Self-Determination theory, we argue that work conditions and psychological conditions are associated with the experience of meaningful work on a daily basis. Moreover, we propose that the experience of meaningful work on a long-term basis (i.e. the evaluation of one’s own work as holding significance per se) intensifies the associations between daily conditions and the experience of meaningful work. We collected data via an event-based longitudinal diary study for a total sample of N = 114 employees from six organizations and N = 545 observations.

Results of the multilevel analysis showed that competence and task significance led to the experience of meaningful work during working days. Moreover, cross-level analyses revealed that these associations are stronger for employees who experience their work to be meaningful in the long-term.

The novelty of the present study lies in highlighting the role of specific factors contributing to the experience of meaningful work during a workday. These findings help specify targets and organizational and individual dimensions to be addressed by managerial interventions to ensure employees' meaningful work experience.