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This paper aims to show the current situation and additional requirements for the aircraft automation systems based on the lessons learned from the two 737 MAX crashes.

In this study, the Swiss cheese model was used to find the real root causes of the 737 MAX accidents. Then, the results have been compared with the actions taken by the manufacturers and authorities. Based on the comparison, the necessary improvements to prevent such accidents are defined. Regarding the faulty sensor that forms the accidents, a synthetic sensor was developed using an aerodynamic model.

It has been proven that the safety-critical automation systems should not be designed by relying on a single set of sensor data. Automation levels should be defined in a standard way. Depending on the defined automation level, the system must be designed as either fail-safe or fail-operational system. When designing backup systems, it should be decided by looking at not only whether it has power but also the accuracy of the incoming signals.

Aviation certification requirements related to automation systems need to be revised and improved. With this context, it was revealed that the certification processes for automation systems should be re-evaluated and updated by aviation authorities, especially Federal Aviation Administration and European Union Aviation Safety Agency.

Task sharing between automation system and pilot based on the classification of automation levels and determining certification requirements accordingly has been brought to the agenda. A synthetic Angle of Attack sensor was developed by using an aerodynamic model for fault detection and diagnosis.

Due to the rapid development of artificial intelligence (AI) technology, increasing the use of AI in healthcare is critical, but few studies have explored the extent to which physicians cooperate with AI in their work to achieve productive and innovative performance, which is a key issue in operations management (OM). We conducted empirical research to answer this question.

We developed a conceptual model based on the ambidextrous perspective. To test our model, we collected data from 200 Chinese hospitals. One senior and one junior physician from each hospital participated in this research so that we could get a more comprehensive view. Based on the sample of 400 participants and the conceptual model, we examined whether different types of AI use have distinct impacts on physicians’ productivity and innovation by conducting hierarchical regression and post hoc tests. We also introduced team psychological safety climate (TPSC) and AI technology uncertainty (AITU) as moderators to investigate this topic in further detail.

We found that augmentation AI use is positively related to overall productivity and innovative job performance, while automation AI use is negatively related to these two outcomes. Furthermore, we focused on the impacts of the ambidextrous use of AI on these two outcomes. The results highlight the positive impacts of complementary use on both outcomes and the negative impact of balance on innovative job performance. TPSC enhances the positive impacts of complementary use on productivity, whereas AITU inhibits the negative impacts of automation and balanced use on innovative job performance.

In the age of AI, organizations face greater trade-offs between performance and technology management. This study contributes to the OM literature from the perspectives of operational performance and technology management in three ways. First, it distinguishes among different AI implementations and their diverse impacts on productivity and innovative performance. Second, it identifies the different conditions under which automation AI use and augmentation are superior. Third, it extends the ambidextrous perspective by becoming an early adopter of this approach to explore the implications of different types of AI use in light of contingency factors.

Safety‐related fieldbus is now being employed in many varied applications. Developments in fieldbus technology and programmable systems, coupled with developments in International and European Standards have created the opportunity for widespread use. Performance, equipment availability, flexibility, diagnostics and reduced cost of ownership are the principal reasons for rapid growth in safety‐related networking. The use of programmable safety systems has fundamentally have changed the way in which safety is now being engineered in the manufacturing plant. New devices provide direct connectivity to safety‐related networks, increasing the scope and changing the architecture of safety systems far beyond conventional expectations. Technological developments, application and benefits of safety‐related networking in industrial automation systems are shown. Criteria for safety network selection are highlighted.

Recently there has been considerable technological change in the way in which safety‐related control may be engineered. A series of standards based upon IEC 61508 are under development. This paper discusses these changes and highlights their relevancy to machine safety.

An overview of technological change is given; from safety relays, to programmable safety controllers, safety‐related networks and the trend to combine safety and control functions in controllers and networks. Topics to consider when choosing between technologies are put forward, followed by a review of standards that incorporate functional safety.

The development of safety‐related standards, such as IEC 61508 provides general guidance on the design of safety‐related systems across a wide range of industries, with specific machinery implementation of the same principles in IEC 62061. There is overlap between IEC 62061 and ISO 13849‐1. The same functional safety principles are also implemented in IEC 61800‐5‐2 for adjustable power drive systems. IEC 61784‐3 embodies the functional safety concept in specific network technologies. Significant opportunities arise from the combination of technology and standards development to facilitate design, engineering and cost improvements.

Confusion is apparent in the application of emerging safety standards, coupled with dramatic changes in the approach to safety engineering. Areas of overlap between developing standards are highlighted, along with draft amendments intended to reduce potential conflict and perplexity. Incorporating functional safety into automation and industrial networking technologies enables engineers to produce innovative solutions that can lead to further improvements in machine safety, functionality, productivity and afford design, commissioning and maintenance benefits. Similar benefits are unlikely to be achievable with traditional safety technologies.

Areas of overlap between developing standards are highlighted, with amendments intended to reduce confusion in the intended audience. This paper seeks to raise awareness in the methods and benefits of incorporating functional safety into automation and industrial networking technologies.

The purpose of this paper is to investigate the critical time window for pro-active construction accident prevention and response. Large to small organisations throughout the entire construction supply chain continue to be challenged to adequately prevent accidents. Construction worker injuries and fatalities represent significant waste of resources. Although the five C’s (culture, competency, communication, controls and contractors) have been focusing on compliance, good practices and best-in-class strategies, even industry leaders have only marginal improvements in recorded safety statistics for many years.

Right-time vs real-time construction safety and health identifies three major focus areas to aid in the development of a strategic, as opposed to tactical, response. Occupational safety and health by design, real-time safety and health monitoring and alerts and education, training and feedback leveraging state-of-the-art technology provide meaningful predictive, quantitative and qualitative measures to identify, correlate and eliminate hazards before workers get injured or incidents cause collateral damage.

The current state and development of existing innovative initiatives in the occupational construction safety and health domain are identified. A framework for right-time vs real-time construction safety and health presents the specific focus on automated safety and health data gathering, analysis and reporting to achieve better safety performance. The developed roadmap for right-time vs real-time safety and health is finally tested in selected application scenarios of high concern in the construction industry.

A strategic roadmap to eliminate hazards and accidents through right-time vs real-time automation is presented that has practical as well as social implications on conducting a rigorous safety culture and climate in a construction business and its entire supply chain.

The purpose of this study was to examine the impact of strategic leadership (SL) on business operational resilience (OR) in the hotel industry in Egypt, namely, during and after the pandemic. This investigation also aimed to explore the mediating function of crisis response strategies (CRSs) and organisational e-readiness (Oe-R) in this relationship.

The researchers conducted a cross-sectional study using a questionnaire as the primary data collection method. Using partial least squares structural equation simulation (PLS-SEM), the study used a comprehensive sample that targets the general managers of all five-star hotels in Egypt.

Results indicated that SL has a positive impact on CRSs and Oe-R. Furthermore, the results reveal a positive influence of Oe-R on both CRSs and hotel OR. On the other hand, CRSs do not influence hotel OR. The findings showed that CRSs fully mediate the link between SL and OR. However, CRSs do not serve as a mediator between Oe-R and OR. Furthermore, the findings showed that Oe-R partially mediates the link between SL and both OR and CRSs.

The study yields unique and valuable theoretical and practical insights to guide hotel leaders and managers towards adaptive recovery and resilience in turbulent and crisis-ridden environments by demonstrating that the combined mediating function of CRS and Oe-R is more effective in strengthening the relationship between SL and OR.

This study represents a pioneering investigation that establishes a correlation between SL and OR, either through direct or indirect means. The research examines the involvement of CRSs and Oe-R as collaborative mediators in this relationship. Previous studies undertaken in the hotel industry and service sector have not investigated this specific element.

The safety management of construction machines is of primary importance. Considering that traditional construction machine safety monitoring and evaluation methods cannot adapt to the complex construction environment, and the monitoring methods based on sensor equipment cost too much. This paper aims to introduce computer vision and deep learning technologies to propose the YOLOv5-FastPose (YFP) model to realize the pose estimation of construction machines by improving the AlphaPose human pose model.

This model introduced the object detection module YOLOv5m to improve the recognition accuracy for detecting construction machines. Meanwhile, to better capture the pose characteristics, the FastPose network optimized feature extraction was introduced into the Single-Machine Pose Estimation Module (SMPE) of AlphaPose. This study used Alberta Construction Image Dataset (ACID) and Construction Equipment Poses Dataset (CEPD) to establish the dataset of object detection and pose estimation of construction machines through data augmentation technology and Labelme image annotation software for training and testing the YFP model.

The experimental results show that the improved model YFP achieves an average normalization error (NE) of 12.94 × 10^–3, an average Percentage of Correct Keypoints (PCK) of 98.48% and an average Area Under the PCK Curve (AUC) of 37.50 × 10^–3. Compared with existing methods, this model has higher accuracy in the pose estimation of the construction machine.

This study extends and optimizes the human pose estimation model AlphaPose to make it suitable for construction machines, improving the performance of pose estimation for construction machines.

This paper aims to provide a sobering and unique view of technological unemployment and job changes by identifying endangered jobs and skills, as well as the essential up-skills critical to employees’ performance, which cannot be replaced by technology.

A systematic literature review, used because it is replicable, transparent, and scientific, was implemented to examine the current and future technological influences on employment, job outlook, work structure, and human resource development (HRD).

The study concludes that HRD professionals should promptly reexamine their social responsibility relative to the technological influence on workers by focusing developmental efforts on employees’ human skills while assisting workers’ transition to a skill-polarized workplace. HRD professionals should play a major role in facilitating employees’ coexistence with robots in the workplace.

While recognizing the valuable contributions of previous researchers with similar concerns, this comprehensive review provides an amalgamated and updated view, which reveals the escalating and combined challenges of a skill-polarized workplace, a tendency of technological unemployment for those positioned in middle-skill jobs, and an increased demand for employees with a higher level of human skills.