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This research aims to examine the moderating role of the existence of risk management committee between risk-taking behavior and companies’ performance.

Research sample includes 383 manufacturing company-year that listed on the Indonesian Stock Exchange period of 2017–2020. The risk-taking behavior includes the use of leverage, capital intensity, research and development intensity, and earnings uncertainty. The hypothesis test uses company fixed-effect regression.

The result shows that risk management committee moderates the effect of risk-taking behavior on companies’ performance. This research also finds the similar result when risk management committee and risk-taking behavior are examined on the future performance. In the further analysis, the result also finds that the expertise of risk management committee moderates the effect of risk-taking behavior on companies’ performance.

This research contributes to fill the previous gap of risk-taking behavior and companies’ performance by considering the existence of risk management committee to promote oversight role on risk-taking behavior. This research also contributes to give new evidence in Indonesia about the role of risk management committee to improve the benefits or to reduce the costs of risk-taking behavior.

Imitation learning is a powerful tool for planning the trajectory of robotic end-effectors in Cartesian space. Present methods can adapt the trajectory to the obstacle; however, the solutions may not always satisfy users, whereas it is hard for a nonexpert user to teach the robot to avoid obstacles in time as he/she wishes through demonstrations. This paper aims to address the above problem by proposing an approach that combines human supervision with the kernelized movement primitives (KMP) model.

This approach first extracts the reference database used to train KMP from demonstrations by using Gaussian mixture model and Gaussian mixture regression. Subsequently, KMP is used to modulate the trajectory of robotic end-effectors in real time based on feedback from its interaction with humans to avoid obstacles, which benefits from a novel reference database update strategy. The user can test different obstacle avoidance trajectories in the current task until a satisfactory solution is found.

Experiments performed with the KUKA cobot for obstacle avoidance show that this approach can adapt the trajectories of the robotic end-effector to the user’s wishes in real time, including trajectories that the robot has already passed and has not yet passed. Simulation comparisons also show that it exhibits better performance than KMP with the original reference database update strategy.

An interactive learning approach based on KMP is proposed and verified, which not only enables users to plan the trajectory of robotic end-effectors for obstacle avoidance more conveniently and efficiently but also provides an effective idea for accomplishing interactive learning tasks under constraints.

The years following the 9/11/2001 terrorists attacks saw a marked increase in community and hospital emergency preparedness, from communications across community networks, development of policies and procedures, to attainment and training in the use of biological warfare resources. Regular drills ensured emergency and health care personnel were trained and prepared to address the next large-scale crisis, especially from terrorist and bioterrorist attacks. This chapter looks at some of the more familiar global health issues over the past two decades and the lessons learned from hospital responses to inform hospital management in preparation for future incidents.

This study is a narrative review of the literature related to lessons learned from four major events in the time period from 2002 to 2023 – SARS, MERS, Ebola, and COVID-19.

The initial search yielded 25,913 articles; 57 articles were selected for inclusion in the study.

Comparison of key issues and lessons learned among the four major events described in this article – SARS, MERS, Ebola, and COVID-19 – highlight that several lessons are “relearned” with each event. Other key issues, such as supply shortages, staffing availability, and hospital capacity to simultaneously provide care to noninfectious patients came to the forefront during the COVID-19 pandemic. A primary, ongoing concern for hospitals is how to maintain their preparedness given competing priorities, resources, and staff time. This concern remains post-COVID-19.

This paper aims to use redundant manipulators to solve the challenge of collision avoidance in construction operations such as welding and painting.

In this paper, a null-space-based task-priority adjustment approach is developed to avoid collisions. The method establishes the relative position of the obstacle and the robot arm by defining the “link space,” and then the priority of the collision avoidance task and the end-effector task is adjusted according to the relative position by introducing the null space task conversion factors.

Numerical simulations demonstrate that the proposed method can realize collision-free maneuvers for redundant manipulators and guarantee the tracking precision of the end-effector task. The experimental results show that the method can avoid dynamic obstacles in redundant manipulator welding tasks.

A new formula for task priority adjustment for collision avoidance of redundant manipulators is proposed, and the original task tracking accuracy is guaranteed under the premise of safety.

The author develops a bilateral Nash bargaining model under value uncertainty and private/asymmetric information, combining ideas from axiomatic and strategic bargaining theory. The solution to the model leads organically to a two-tier stochastic frontier (2TSF) setup with intra-error dependence. The author presents two different statistical specifications to estimate the model, one that accounts for regressor endogeneity using copulas, the other able to identify separately the bargaining power from the private information effects at the individual level. An empirical application using a matched employer–employee data set (MEEDS) from Zambia and a second using another one from Ghana showcase the applied potential of the approach.

Motivated by the wide application of procurement strategies in retailing, this paper aims to examine the effect of procurement strategies on decisions and profits and strategic inventory (SI) is considered.

The game-theoretic models are developed under a two-period fresh product supply chain (FSC), and consist of the mode of purchasing products only in the first period without SI (Scenario S), the mode of purchasing products in every period without SI (Scenario T) and the mode of purchasing products in every period with SI (Scenario TS).

Conducting the calculating and comparing, some major findings can be concluded. In general, two-period purchasing strategies (Scenarios T and TS) promote a higher freshness-keeping effort than the single buying strategy (Scenario S). Regarding the pricing strategy, SI and Scenario S can both contribute to obtaining a lower wholesale price, the retailer's pricing is relatively complicated and hinges on the consumer's sensitivity to freshness-keeping effort and the holding cost. Besides, comparing the sales quantity and the profit, the authors find that Scenario TS stimulates more demands and brings more profits for the manufacturer. However, Scenario TS is not the optimal selection for the reason that SI sometimes hurts the retailer and even the whole supply chain. Whereas, when the holding cost is in a certain range, Scenario TS will lead to a win-win situation.

The main findings of this study can give the enterprises some advice on the procurement strategies of fresh products and the decisions of pricing and the freshness-keeping effort.

This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success.

This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%.

The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination.

Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects.

Designing and developing safe systems has been a persistent challenge in health care, and in surgical settings in particular. In efforts to promote safety, safety culture, i.e., shared values regarding safety management, is considered a key driver of high-quality, safe healthcare delivery. However, changing organizational culture so that it emphasizes and promotes safety is often an elusive goal. The Safe Surgery Checklist is an innovative tool for improving safety culture and surgical care safety, but evidence about Safe Surgery Checklist effectiveness is mixed. We examined the relationship between changes in management practices and changes in perceived safety culture during implementation of safe surgery checklists. Using a pre-posttest design and survey methods, we evaluated Safe Surgery Checklist implementation in a national sample of 42 general acute care hospitals in a leading hospital network. We measured perceived management practices among managers (n = 99) using the World Management Survey. We measured perceived preoperative safety and safety culture among clinical operating room personnel (N = 2,380 (2016); N = 1,433 (2017)) using the Safe Surgical Practice Survey. We collected data in two consecutive years. Multivariable linear regression analysis demonstrated a significant relationship between changes in management practices and overall safety culture and perceived teamwork following Safe Surgery Checklist implementation.

Gears are prone to instantaneous failure when operating under extreme conditions, affecting the machinery’s service life. With numerous types of gear meshing and complex operating conditions, this study focuses on the gear–rack mechanism. This study aims to analyze the effects and optimization of biomimetic texture parameters on the line contact tribological behavior of gear–rack mechanisms under starvation lubrication conditions.

Inspired by the microstructure of shark skin surface, a diamond-shaped biomimetic texture was designed to improve the tribological performance of gear–rack mechanism under starved lubrication conditions. The line contact meshing process of gear–rack mechanisms under lubrication-deficient conditions was simulated by using a block-on-ring test. Using the response surface method, this paper analyzed the effects of bionic texture parameters (width, depth and spacing) on the tribological performance (friction coefficient and wear amount) of tested samples under line contact and starved lubrication conditions.

The experimental results show an optimal proportional relationship between the texture parameters, which made the tribological performance of the tested samples the best. The texture parameters were optimized by using the main objective function method, and the preferred combination of parameters was a width of 69 µm, depth of 24 µm and spacing of 1,162 µm.

The research results have practical guiding significance for designing line contact motion pairs surface texture and provide a theoretical basis for optimizing line contact motion pairs tribological performance under extreme working conditions.

After summarizing what has been learned so far, the purpose of this review is to suggest several promising avenues for future research on work-to-family enrichment (WFE) and family-to-work enrichment (FWE).

This is a literature review. After reviewing the existing research and searching for gaps in the literature, new areas of research will be proposed to fill these gaps.

While much has been learned about the antecedents and consequences of work–family enrichment in both directions, WFE and FWE, much remains to be learned.

Three important outcomes – job performance, organizational citizenship behavior, and counterproductive work behavior – need to be studied regarding WFE and FWE. Although supervisor support has been studied, the field needs to incorporate leadership theories and models to understand this phenomenon. Additional predictors of work outcomes – including emotional intelligence, leadership, emotional labor, social support, gender, and cross-cultural variables – need to be examined. Experience sampling methods and advanced research methodologies should also be used.

Although prior research has demonstrated the important effects of WFE and FWE, the practical effects on organizations in terms of job performance still need to be investigated.

The literature review conclusively demonstrates that WFE and FWE are both related to job satisfaction and family satisfaction.

This is the first review to summarize the existing meta-analytical research in this area and to propose the particular avenues of research advocated in this article.