Search results

Construction professionals (CPs) are often exposed to various challenges and pressures at work including urgent deadlines, high demands, uncertainty in tasks, and complex problems, which may induce stress and affect performance directly. Mindfulness-based stress reduction (MBSR) training has been used for several years to reduce stress among various types of people, such as nurses, teachers, and family caregivers, but its application to CPs with highly dynamic environment remains uncertain. This study aimed to investigate the impact of MBSR training on the performance of CPs via an intervention study involving two groups (MBSR and control).

Participants in both groups were assessed using a questionnaire survey and a semi-structured interview at the pre- and post-intervention stage. Multiple research methods were used to derive quantitative and qualitative analyses, including factor analysis, independent t-test, Pearson correlation, and contextual analysis.

The findings overall confirm that MBSR has a direct effect on CPs, improving their mindfulness characteristics and enhancing performance by reducing their stress.

A number of practical recommendations are made such as (1) arranging standard eight-week MBSR training for CPs; (2) giving special leave for attending the full mindfulness training; (3) establishing a suitable environment in the office for meditation;(4) allowing CPs an opportunity to pause at difficult moments to create space to respond instead of simply reacting; and (5) expressing love and kindness through gratitude, recognition, and regular feedback.

This research can be considered as valid evidence to convince construction organizations conducting MBSR to the CPs, which is indeed not too remote to enhance their performance as well as the holistic construction performance.

This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.

Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.

This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.

Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.

As a kind of knowledge-intensive team coordinated across physical distance, it is necessary to construct a meta-knowledge driven transactive memory system (TMS) for the knowledge management of distributed agile team (DAT). This study aims to explore the comprehensive antecedents of TMS establishment in DATs and considers how TMS establishment is affected by herding behavior under the artificial intelligence (AI)-related knowledge work environment that emerges with technology penetration.

The data derived from 177 students of 52 DATs in a well-known Chinese business school, which were divided into 26 traditional knowledge work groups and 26 AI-related task groups to conduct a random comparative experiment. The ordinary least squares method was used to analyze the conceptual model and ANOVA was used to examine the differences in herding behavior between the control groups (traditional knowledge work DATs) and treatment groups (DATs engaged in AI-related knowledge work).

The results showed that knowledge diversity, professional knowledge, self-efficacy and social system use had significantly positive effects on the establishment of TMS. Interestingly, the authors also find that herding behavior may promote the process of establishing TMS of the new team, and this effect will be more significant when AI tasks are involved in team knowledge work.

By exploring the comprehensive antecedents of the establishment of TMS, this study provided a theoretical basis for knowledge management of DATs, especially in AI knowledge work teams. From a practical perspective, when the DAT is involved in AI-related knowledge works, managers should appropriately guide the convergence of employees’ behaviors and use the herding effects to accelerate the establishment of TMS, which will improve team knowledge sharing and innovation.

Children's food insecurity experiences are largely unrepresented in academic literature. Parents and caregivers cannot always accurately evaluate their children's attitudes or experiences, and even within the same family unit, children and their parents may report differing views and experiences of family food insecurity. The purpose of this narrative review is to identify studies that include children's voices and their perceptions, understanding, and experience of food insecurity in the household.

This narrative review aimed to address the following questions: (1) “What research studies of household food insecurity include children's voices?” and (2) “Across these studies, how do children perceive, understand and experience food insecurity in the household?”. A database search was conducted in October 2022. After inclusion and exclusion criteria were applied, 16 articles remained for review.

The findings from this review were organised into three themes: Theme 1: Ways children coped with accessing food or money for food; Theme 2: Food-related strategies children used to avoid hunger; and Theme 3: Children attempt to mask food insecurity.

Future research should further explore the long-term consequences of social pressures and informal economic engagement on children's well-being and social development. By addressing the social determinants of food insecurity, this study can strive to create supportive environments that enable all children to access adequate nutrition and thrive.

Overall, the findings of this review demonstrate the significant social pressures that shape children's responses to food insecurity. Results suggest that children's decision-making processes are influenced by the desire to maintain social standing and avoid the negative consequences of being food insecure. As such, this review underscores the need for a comprehensive understanding of the social context in which food insecurity occurs and the impact it has on children's lives. Understanding these dynamics is crucial for developing effective interventions and policies addressing the multifaceted challenges food insecure children face.

This review has highlighted a need for interventions to incorporate trauma-informed strategies to protect children from and respond to the psychologically distressing experiences and impact of living in food insecure households.

The goal of this narrative review was to look at the link between the Mediterranean diet (MD) and the telomere length. Furthermore, this study aims to understand the impact of the MD on obesity-related telomere length.

Relevant literature was reviewed to explore the potential influence of the MD on telomere length and its association with obesity.

The MD is one of the healthiest diets of all known dietary patterns, and it is also linked to the telomere length. Except for fruits and vegetables, the main findings for other MD components are inconsistent. In terms of antioxidant and antiinflammatory properties, using the MD as a weight loss approach is a good method. For predicting changes in obesity characteristics, the initial telomere length is critical. However, there are not many studies in the field that have looked at the MD as a weight loss approach and its link to the telomere length. As a result, more research is needed to understand these connections in various groups.

This study is unique since it examines the MD, telomere length and obesity-related consequences. This study examines the MD, telomere length and obesity to determine if the MD can help lose weight while maintaining telomere length. As there are few studies on MD weight loss and telomere length, the work emphasizes the need for greater research in this area. This study fills a research gap and improves the understanding of nutrition, telomere biology and obesity-related outcomes.

Despite the popularity of gig employment amid the changing business landscape, gig scholarship is somewhat limited and the untold reality about gig is yet to be fully revealed. This study aims to critically address the nature of gig employment, its ambiguities, evolution, theoretical premises and the appropriate future road ahead.

This paper adopts a dual analytical approach – bibliometric and thematic analyses. After incorporating the exclusion–inclusion criteria, the authors identified 2,135 articles for the bibliometric analyses by using VOSviewer. Additionally, for the deep-delving synthesis, the authors conducted thematic analyses following Braun and Clarke (2006), based on 351 papers.

The findings revealed that gig work, in its different forms, is emerging as an alternative work arrangement with respect to the future of work. This study also identified multilevel perspectives of gig employment along with its holistic nomological network. Finally, this study offers some critical research directions that should help enhance the theoretical and practical strengths of this nascent scholarship in future.

The review findings are limited in nature owing to the paucity of quality research papers published in the said domain.

The paper brings more clarity to what gig is and isn’t, along with its critical perspectives from multilevel lenses.

This paper identifies critical perspectives related to gig work and suggests appropriate directions for future gig work related scholarship.

Decision-making, reinforced by artificial intelligence (AI), is predicted to become potent tool within the domain of supply chain management. Considering the importance of this subject, the purpose of this study is to explore the triggers and technological inhibitors affecting the adoption of AI. This study also aims to identify three-dimensional triggers, notably those linked to environmental, social, and governance (ESG), as well as technological inhibitors.

Drawing upon a six-step systematic review following the preferred reporting items for systematic reviews and meta analysis (PRISMA) guidelines, a broad range of journal publications was recognized, with a thematic analysis under the lens of the ESG framework, offering a unique perspective on factors triggering and inhibiting AI adoption in the supply chain.

In the environmental dimension, triggers include product waste reduction and greenhouse gas emissions reduction, highlighting the potential of AI in promoting sustainability and environmental responsibility. In the social dimension, triggers encompass product security and quality, as well as social well-being, indicating how AI can contribute to ensuring safe and high-quality products and enhancing societal welfare. In the governance dimension, triggers involve agile and lean practices, cost reduction, sustainable supplier selection, circular economy initiatives, supply chain risk management, knowledge sharing and the synergy between supply and demand. The inhibitors in the technological category present challenges, encompassing the lack of regulations and rules, data security and privacy concerns, responsible and ethical AI considerations, performance and ethical assessment difficulties, poor data quality, group bias and the need to achieve synergy between AI and human decision-makers.

Despite the use of PRISMA guidelines to ensure a comprehensive search and screening process, it is possible that some relevant studies in other databases and industry reports may have been missed. In light of this, the selected studies may not have fully captured the diversity of triggers and technological inhibitors. The extraction of themes from the selected papers is subjective in nature and relies on the interpretation of researchers, which may introduce bias.

The research contributes to the field by conducting a comprehensive analysis of the diverse factors that trigger or inhibit AI adoption, providing valuable insights into their impact. By incorporating the ESG protocol, the study offers a holistic evaluation of the dimensions associated with AI adoption in the supply chain, presenting valuable implications for both industry professionals and researchers. The originality lies in its in-depth examination of the multifaceted aspects of AI adoption, making it a valuable resource for advancing knowledge in this area.

In the age of nine-figure transfer fees and football stars building their own brands and follower base, a shift in fan identification in football appears to be taking place as athletes can build strong connections with their followers. This paper examines the level of identification shown by football fans towards both their favourite team and their favourite player, in connection with the concept of fan loyalty.

A total of 4,707 international respondents participated in an online survey to examine the relationship between fan identification and fan loyalty, and to measure the impact of variables like country, player, club, on fan identification using multi-regression analyses.

The results underline the strong presence of team identification compared to identification of single players. Results have also revealed that the relationship between a fan's favourite team and player has a significant impact on identification levels towards both actors. Fans supporting a foreign club were found to show significantly stronger team identification than those who support a club from their own country or region.

This research contributes to the growing body of publications in the field of sports consumer research and underlines the importance of understanding the quality of relationships and thus the identification of fans with clubs and individual players for the stakeholders involved. International sports marketing is becoming increasingly important and an understanding of fan interests is essential for effective marketing, as information on trends in fan interests enables a more tailored strategy for clubs and sponsors.

Supply chain resilience and knowledge management (KM) processes have received increasing attention from researchers and practitioners. Nevertheless, previous studies often treat the two streams of literature independently. Drawing on the knowledge-based theory, this study aims to reconcile these two different streams of literature and examine how and when KM processes influence supply chain resilience.

This research develops a conceptual model to test a sample of data from 203 Chinese manufacturing firms using a structural equation modeling method. Specifically, the current study empirically examines how KM processes affect different forms of supply chain resilience (supply chain readiness, responsiveness and recovery) and examines the moderating effect of blockchain technology adaptation and organizational inertia on the relationship between KM processes and supply chain resilience.

The findings show that KM processes positively affect three dimensions of supply chain resilience, i.e., supply chain readiness, responsiveness and recovery. Besides, the study reveals that blockchain technology adoption positively moderates the relationships between KM processes and supply chain resilience, whereas organizational inertia negatively moderates these above relationships.

This research linked the two research areas of supply chain resilience and KM processes, further bridging the gap in the research exploration of KM in the supply chain field. Next, this study contributes to supply chain resilience research by investigating how KM systems positively impact supply chain readiness, responsiveness and recovery. In addition, this study found a moderating effect of blockchain technology adaption and organizational inertia on the relationship between KM processes and supply chain resilience. These findings provide a reference for Chinese manufacturing firms to strengthen supply chain resilience, achieve secure supply chain operations and gain a competitive advantage in the supply chain. This studys’findings advance the understanding of supply chain resilience and provide practical implications for supply chain managers.