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The study aims to look into the mechanism by which perceived human resource management (HRM) practices impact nurses' engagement, by specifically looking into the role of psychological availability and psychological safety.

A cross-sectional questionnaire survey was conducted among nurses (n = 465). Data were collected from nurses of National Accreditation Board for Hospitals and Healthcare Providers (NABH) accredited hospitals by employing two stage sampling.

Results indicate significant positive association between HRM practices and employee engagement. Role of psychological safety and psychological availability as mediators was also confirmed. The study supported the proposition that HRM practices affected employee engagement through psychological safety and then psychological availability thus approving serial mediation.

This research also contributes to a more comprehensive understanding of the ways to achieve employees' psychological safety, availability, and thus nurse engagement.

The purpose of this paper is to study reliability, availability, and mean time to failure of a repairable robot‐safety system composed of n robots, m safety units, and a perfect switch.

Generalized expressions for system state probabilities, system availability, reliability, and mean time to failure are developed. Supplementary variable and Markov methods were used to develop these expressions.

This study clearly demonstrates that backup robots, safety units, and the repair process help to improve system availability.

This study will help maintenance engineers and reliability practitioners to become aware of the combined effect of backup robots, safety units, and the repair process on the performance of the robot‐safety system. Consequently, they will make better maintenance related decisions in organizations that make use of robots.

This paper has studied the effects of having redundant robots, safety units, and the repair facilities on the performance of a robot‐safety system with perfect mechanism to turn on a safety unit. This is one of the first attempts to study the combined effects of all these factors on a robot‐safety system.

Drawing on self-concept theory, this study evaluates the mediating effects of employees' psychological states on the relationship between human resources (HR) practices and employee engagement.

Through random sampling, 434 customer-contact frontline employees from five-star hotels in Malaysia participated in the cross-sectional survey.

The results produced by the Smart-PLS (partial least squares) indicate that HR practices positively and significantly influence employees' psychological states of safety, meaningfulness and availability. All these psychological states also exert positive influences on employee engagement (organisational and work engagement). Safety and availability mediate the links between HR practices and employee engagement, but not meaningfulness.

HR practices and employees' psychological states are necessary in ensuring positive employee outcomes and improving customer service provision.

The findings contribute to the further extension of self-concept theory and employee engagement by incorporating the mediating roles of employees' psychological states in the relationships between HR practices and employee engagement.

以自我概念理論為依據，本研究擬評估僱員的心理狀態、如何在人力資源做法與員工敬業度之間的聯繫上起著仲介的效應。

透過隨機抽樣法，434名在馬來西亞五星級酒店工作、接觸顧客的一線員工被選參與一個橫斷面調查。

以SmartPLS (偏最小平方)取得的研究結果顯示、人力資源做法正面地影響著員工的安全感、工作給予的意義和感知的組織支援；而且，這些心理狀態，均會對員工的敬業度(對組織的自豪感及對工作的投入)起著正面的影響。另外，安全感和感知的組織支援在人力資源做法與員工敬業度之間的聯繫上、起著仲介之效應；唯工作給予的意義則沒有這個效應。

研究結果進一步伸展了自我概念理論及員工敬業度方面的論述，這是由於本研究把員工心理狀態所扮演的中介角色，納入人力資源做法與員工敬業度的聯繫中。

若要確保積極的員工成果及提供更佳的顧客服務，有效的人力資源做法和正面的員工心理狀態是不可或缺的。

This paper aims to investigate the reliability, availability, maintenance and safety analysis method for railway network operation.

The reliability of the railway network is proposed based on the accident frequency and the topology of the railway network. Network efficiency and capacity are proposed to evaluate the availability of the railway network. The maintenance of the railway network is analyzed from the perspective of accident recovery time. The safety index of the railway network is proposed to measure the safety of railway stations and sections and the K-means method is proposed to find the safety critical stations and sections. Finally, the effectiveness of the proposed method is illustrated through a real-world case study.

The case study shows that the proposed model can produce a big-picture averaged view of the network-wide safety level and help us identify the safety critical stations and sections by considering both the expected reduction of network efficiency and capacity.

The potential application of the proposed model is to help the safety managers determine the investments in safety management of each section and station and then increase the safety and robustness of railway network operation.

The safety analysis of the railway network should consider the reliability, availability and maintenance of the railway network. In this paper, the reliability of the railway network is proposed based on the accident frequency and the topology of the railway network. Network efficiency and capacity are proposed to evaluate the availability of the railway network. The maintenance of the railway network is analyzed from the perspective of recovery time. Finally, the safety index of the railway network is proposed to analyze the safety critical stations and sections.

Researchers have explored contextual antecedents influencing engagement at work; yet, theory and empirical evidence suggest some individuals are more or less engaged than others. Using a relational framework based on attachment theory, the purpose of this paper is to suggest that relational models influence engagement through their influence on psychological availability and psychological safety. Study 1 examined whether attachment influences variability in engagement. Study 2 examined whether these effects could be replicated, and whether attachment influences engagement via individuals’ psychological availability and safety.

Two field studies using online self-report surveys (Study 1 n=203; Study 2 n=709).

Attachment-avoidance and attachment-anxiety were independently associated with lower levels of engagement, and psychological conditions mediated these relationships.

Relational models explain predictable variability in engagement. Employees’ ability to engage may be constrained or facilitated by their stable relational models of attachment.

The study is one of the few examining individual differences in engagement.

The purpose of this paper is to propose a practical method of performing maintenance in the offshore industry where engineers have to manage problems such as the high cost of operations, assuring an high availability of the plant, safety on board and environmental protection. Indeed an efficient maintenance method it is necessary in order to offer methods and criteria to select the rights maintenance strategies keeping in to account the environmental, safety and production constrains.

The paper provides an overview of reliability centered maintenance (RCM) and reliability, availability, maintainability methodologies and an integration of the two methodologies in a particular case study in the oil and gas sector.

This paper suggests an improvement of the well-established RCM methodology applicable to industries with high priority level. It is proposed an integration between a reliability analysis and an availability analysis and an application on the offshore oil and gas industry.

The methodology provides an excellent tool that can be utilized in industries, where safety, regulations and the availability of the plant play a fundamental role.

The proposed methodology provides a practical method for selecting the best maintenance strategy considering the equipment redundancy and sparing, the asset’s performance over long time scales, and the system uptime, downtime and slowdowns.

The primary research question addressed through this paper is whether and how corporate social responsibility (CSR) can create business value for organizations as measured through employee attitudes and behaviours. Specifically, this study aims to examine the impact of CSR on employee engagement through its influence on psychological meaningfulness, safety and availability.

In total, 187 business professionals working for a wide variety of organizations in India constituted the study sample. Regression analysis was used to test the proposed hypotheses.

CSR positively predicted employee engagement. Psychological conditions of meaningfulness, safety and availability fully mediated the relationship of CSR with employee engagement.

The study establishes CSR as an important talent management tool in the hands of management to cultivate an engaged workforce. The results provide corporate managers with the necessary evidence to justify their investment in CSR initiatives.

The study by establishing CSR as a determinant of employee engagement addresses the need for micro-level CSR research, and, hence, bridges the macro-micro gap in the CSR literature. In addition, the application of micro-level theories helped to establish the psychological processes defining CSR and employee engagement relationship. In doing so, the study empirically tests Khan’s theory of engagement and the underlying mechanisms of engagement.

The purpose of this study is to examine the underlying cognitive mechanisms between interpersonal justice and creativity.

The theoretical model was tested through survey method in two distinct settings, i.e. student teams and organizational setting.

This study found evidence that interpersonal justice has an indirect relationship with creative behavior through two distinct paths of psychological meaningfulness and psychological availability in Study 1 and through psychological availability in Study 2. The results clarify and support the proposition in the justice literature that interpersonal fairness is relevant to creativity because of its relationship to risks associated with creativity, and that this affect holds when controlling for procedural, distributive and informational justice (Study 2).

The results suggest that interpersonally fair supervision has a significant influence on employees’ creativity. Fair supervisory treatment adds value to the organization and contributes to the well-being of employees by directly influencing perceptions of psychological engagement factors of meaningfulness and availability of resources.

This study contributes to the justice, creativity and psychological engagement literatures by exploring the mechanisms linking organizational justice and creativity in a non-Western context.

The research activity presented in this paper has the objective of developing models for the evaluation of technological risk and loss of production due to failures, which are among the criterions that enable the choice of optimal scenarios for energy supply. This activity is based on the European Project “Risk of Energy Availability: Common Corridors for Europe Supply Security” (REACCESS), which aims to develop an analytical tool to analyse scenarios for future secure European Union (EU) energy supply.

The paper proposes an innovative approach, since nowadays a generalised analytic model for risk assessment in large‐scale energetic systems does not exist. In particular, the methodology adopted includes models to assess risk for people safety, risk for the environment and availability for corridors and the related infrastructures. As regards technological risk, accidents producing loss of lives in the population and environmental damage are taken into account; while for the loss of production primary attention is paid to technical failures and maintenance.

Since the analytic models developed perform a large‐scale assessment, they must be flexible and simplified to adapt to different situations and to be easily updated when different future scenarios are investigated. Details of the analysis depend on the precision of data collected and inserted in the models. The damage assessment is affected by deficiency and uncertainties related to territorial and statistical data. Nevertheless, the outcomes obtained for each energy commodity are reasonable and often comparable to literature data.

Based on this study output, technological risk can be considered, more systematically than in the past, in the selection of EU strategies for future energy supply. The corridors social cost is included in future strategies selection, in addition to purely economical and environmental evaluations.

The purpose of this paper to present a practical and systematic approach to estimate the availability of a process plant using generalized stochastic Petri nets (GSPNs). The actual live problem at a fluid catalytic cracking unit (FCCU) of a refinery is used to demonstrate this approach.

A majority of models used for estimation of availability of a complex system are based on the assumptions that the failure of the system is associated with only a few states, and the system does not face different operating conditions, repair actions and common-cause failures. In reality, this is often not the case. Therefore, it is necessary to construct more sophisticated models without such assumptions. In this paper, an attempt has been made to model interaction of component failures, partial failures of components and common-cause failures.

The superiority of this approach over other modeling approaches such as fault tree and Markov analysis is demonstrated. The proposed GSPN is a promising tool that can be conveniently used to model and analyze any complex systems.

GSPN was used to model the reactor-regenerator section of FCCU, which is quite a large system, which shows the strength of modeling capability. The use of Petri nets (PNs) for modeling complex systems for the purpose of availability assessment is demonstrated in this paper. Sensitivity analysis was also carried out for various subsystem/components.

No similar work has been conducted for FCCU using GSPN as per literature incorporating different operating conditions and common-cause failures. The understanding and usage of PNs require a steep learning curve for the practitioners, and this paper provides an approach to estimate availability measures for the complex system.