Search results

This study aims to propose an efficient dual-robot task collaboration strategy to address the issue of low work efficiency and inability to meet the production needs of a single robot during construction operations.

A hybrid task allocation method based on integer programming and auction algorithms, with the aim of achieving a balanced workload between two robots has been proposed. In addition, while ensuring reasonable workload allocation between the two robots, an improved dual ant colony algorithm was used to solve the dual traveling salesman problem, and the global path planning of the two robots was determined, resulting in an efficient and collision-free path for the dual robots to operate. Meanwhile, an improved fast Random tree rapidly-exploring random tree algorithm is introduced as a local obstacle avoidance strategy.

The proposed method combines randomization and iteration techniques to achieve an efficient task allocation strategy for two robots, ensuring the relative optimal global path of the two robots in cooperation and solving complex local obstacle avoidance problems.

This method is applied to the scene of steel bar tying in construction work, with the workload allocation and collaborative work between two robots as evaluation indicators. The experimental results show that this method can efficiently complete the steel bar banding operation, effectively reduce the interference between the two robots and minimize the interference of obstacles in the environment.

This meta-analytical review aims to clarify the relationships between three bundles of human resource management (HRM) practices—competency-enhancing, motivation-enhancing and opportunity-enhancing—and organizational innovation by addressing two questions: (a) Which types of HRM bundles are most strongly related to different forms of innovation (i.e. process and product innovation)? And (b) Which mechanism provides a stronger explanation for the positive effects of HRM bundles on innovation?

Based on data from 103 studies, a meta-analysis was conducted to quantitatively summarize existing HRM–innovation studies at the organizational level.

The results showed that the competency-enhancing bundle was more positively related to product innovation than the motivation-enhancing and opportunity-enhancing bundles. The opportunity-enhancing bundle was most strongly associated with process innovation. The authors further found that knowledge management capability (KMC) and employee motivation mediated the positive relationship between the three HRM bundles and innovation outcomes. In comparing the two mechanisms, this review suggests that KMC better explains both the impact of the competency-enhancing HRM bundle on product innovation and the effect of the opportunity-enhancing bundle on process innovation.

Based on behavioral and knowledge management perspectives, this study takes a sub-bundle approach to providing an integrative review by comparing the direct effects and mediating paths of HRM bundles on product and process innovation.

Night lighting reflects the prosperous development of economic and the increasingly rich and colorful cultural life. Currently, various technical standards, protocols and management specifications have been developed to build a safe, comfortable and economical lighting environment. However, prevailing evaluation systems focus on objective indexes of illumination and have ignored environmental characteristics and subjective feelings and lacked consideration of regional culture, economic benefit, management and maintenance. In this context, a lighting evaluation system combining subjective and objective is proposed for the first time in this study to explore approaches to guide the development of a healthy and comfortable urban night-time environment.

Existing research and relevant lighting standards are analyzed and an evaluation model with a logical hierarchy is constructed by combining with the evaluation theory that is set based on people and the environment. The index weights were scientifically determined on the basis of the analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method. The rationality and validity of the proposed evaluation system is verified in accordance with field projects and case studies.

Taking into account traditional and cultural factors, the evaluation model established has an acceptable accuracy. Evaluation based on subjective-objective combination can provide a scientific basis for the management and optimization of night lighting.

The proposed evaluation system can serve as a guiding reference for other areas of cultural identity and esthetic perspective.

This study aims to conduct a thorough evaluation to offer a modern overview of mindfulness’s performance and conceptual framework in leadership.

This study reviews the literature on mindfulness in leadership using bibliometric analysis and systematic review techniques. This study delves into the most significant writings, leading journals, authors, organizations and nations contributing to the field and the selected methodologies and research contexts for mindfulness in leadership.

This study unveils three areas of mindfulness in leadership: leadership mindfulness interventions and practices, essential outcomes of mindfulness practice and emergent styles and mindfulness.

This study significantly expands the Baer et al. (2006) review of mindfulness to offer new views over their manual qualitative analysis based on a smaller collection of literature while adding the leadership perspective. Using bibliometric analysis, this study especially carries out performance analysis and scientific mapping of the collection of research publications on mindfulness in leadership. Additionally, more current studies are included to update the field.

The study aims to understand the phenomenon of workplace ostracism from multiple perspectives (target, perpetrator and observer). The understanding of the phenomenon is used to thematically analyse the antecedents of workplace ostracism and identify appropriate strategies for each antecedent.

The study findings are based on face-to-face semi-structured interviews with thirty-three senior and medium-level employees from various public and private sector organizations in India. The interview transcripts were systematically analyzed to identify antecedents of ostracism, which were inductively grouped together based on similarity.

The antecedents of workplace ostracism were grouped into four major heads: perceived non-alignment with organizational needs; emotional reaction; unconscious social processes and structural and demographic differences. Based on interview transcripts, strategies to reduce the effect of each of the broad antecedents of ostracism were identified.

Workplace ostracism has been linked with multiple negative outcomes including increased stress and turnover intention. The study provides managers with a framework that enables them to evaluate and understand incidences of ostracism among their subordinates. The study also equips managers with the knowledge of specific strategies for dealing with specific antecedents of ostracism.

The study answers the need to look at the phenomenon of ostracism through multiple perspectives. It identifies multiple potentially new antecedents and strategies to deal with workplace ostracism and groups them in a coherent manner. It is among the few studies on ostracism in India and extends the generalizability of the construct.

The purpose of this study is to examine how the implementation of edge computing can enhance the progress of the circular economy within supply chains and to address the challenges and best practices associated with this emerging technology.

This study utilized a streamlined evaluation technique that employed Latent Dirichlet Allocation modeling for thorough content analysis. Extensive searches were conducted among prominent publishers, including IEEE, Elsevier, Springer, Wiley, MDPI and Hindawi, utilizing pertinent keywords associated with edge computing, circular economy, sustainability and supply chain. The search process yielded a total of 103 articles, with the keywords being searched specifically within the titles or abstracts of these articles.

There has been a notable rise in the volume of scholarly articles dedicated to edge computing in the circular economy and supply chain management. After conducting a thorough examination of the published papers, three main research themes were identified, focused on technology, optimization and circular economy and sustainability. Edge computing adoption in supply chains results in a more responsive, efficient and agile supply chain, leading to enhanced decision-making capabilities and improved customer satisfaction. However, the adoption also poses challenges, such as data integration, security concerns, device management, connectivity and cost.

This paper offers valuable insights into the research trends of edge computing in the circular economy and supply chains, highlighting its significant role in optimizing supply chain operations and advancing the circular economy by processing and analyzing real time data generated by the internet of Things, sensors and other state-of-the-art tools and devices.