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Micro corporate social responsibility (CSR) is an emerging concept in management that relates to the examination of employees’ reaction to CSR initiatives. In this stream of literature, this study aims to investigate the underlying mechanism and boundary conditions of CSR and employees’ organizational identification relationship.

The data of middle managers (n = 187) were collected from a large hospitality and real estate organization actively involved in CSR activities in Pakistan. The authors conducted two surveys using the self-administered questionnaire with a temporal break. Structural equation modeling was run using AMOS to analyze the data.

The authors found that organizational pride meditates while desire to have a significant impact through work (DSIW), gender and organizational tenure moderates the relationship between CSR and organizational identification.

The study implies that the management can take the opportunity to make use of the positive response of the employees by investing in social and environmental causes.

The study contributes to CSR, organizational behavior literature, and person-organization fit theory by explaining the complete path of CSR and identification. It unfolds the underlying mechanism and contingencies of CSR-Identification link that are overlooked in the literature .

Drawing upon social learning theory (SLT), the study examines the consequences of ethical leadership on followers' voice behavior facets (promotive and prohibitive). The study tests hypotheses about the processing mechanism (moral identity) and the boundary condition (proactive personality) to understand these relationships.

The study collected time-lagged survey data through an online structured questionnaire from 182 respondents. Confirmatory factor analysis (CFA) was used to ensure the validity and reliability of the data. Moreover, structural equation modeling was run to test the hypotheses using AMOS.

Ethical leadership positively affects followers' promotive and prohibitive voice behavior via the psychological mechanism of moral identity. Proactive personality moderates the moral identity – promotive and moral identity – prohibitive voice relationships, such that these relations are stronger when the individuals are high on proactive personality.

Robust evidence of a genuine cause-and-effect relationship may not be yielded owing to cross-sectional and self-reported data at the follower level of analysis. Future researchers can use dyadic, longitudinal and experimental designs to overcome these limitations. Organizations targeting to increase voice behavior can benefit from maintaining ethical leaders and proactive followers at the workplace.

The study significantly contributes to the ethical leadership and voice behavior literature. Ethical leadership enhances followers' promotive/prohibitive voice behaviors through their moral identity enhancement. The paper also confirmed that a proactive personality is a critical boundary condition in these relationships. Empirical evidence from the Eastern context has been added, and research directions have also been provided.

The primary study purpose is to examine whether managerial support triggers job crafting and sustainable employability, and to what extent work uncertainty moderates the managerial support and sustainable employability relationships mediated by job crafting using a moderated mediation approach. Thus, this study aims to uncover new antecedent and outcomes of job crafting using job demands and resources (JD–R) theory as no such research has yet examined these relationships.

The structural equation modeling (SEM) technique was employed to test the proposed relationships based on survey data that include a final 483 knowledge workers of the services sector. The authors tested the structural model using self-developed estimates for AMOS 24.0 to examine the moderated mediation process models (process models 7, 14 and 58) rather than using a conventional process macro through SPSS.

Consistent with the formulated hypothesis, the results of this study indicate that managerial support directly stimulates job crafting and sustainable employability. Further, job crafting mediates the relationships between managerial support and sustainable employability. This validates the JD–R theory assumption that managerial support as job resources initiates a motivational process through job crafting, leading to sustainable employability as the outcome of the motivational process. Additionally, the moderated mediation results show that in the presence of high work uncertainty, employees are more engaged in job crafting to boost their sustainable employability.

Organizations may incorporate these findings while developing human resources (HR) management policies and practices to align top-down and bottom-up job re(design) approaches. For example, by designing line managers’ role in implementation of supportive HR practices, their supportive leadership behavior towards employees will successfully trigger job crafting and nurture their sustainable employability.

This research adds to the work design and employability literature. No such study has yet examined whether managerial support triggers job crafting and sustainable employability. Prior studies examine personality traits, some individual difference variable, job characteristics, or leadership influence as antecedents of job crafting. Utilizing the JD–R theory, we empirically validate that job crafting plays a vital role in the motivational process initiated by the job resources (managerial support), leading to sustainable employability as an outcome of the motivational process. The authors further show that in the presence of high job demands (work uncertainty), employees are more engaged in job crafting and more conscious to boost their sustainable employability.

Primarily, this research aims to examine how and when firm-level corporate social responsibility (CSR) translates into individual-level attitudes and behaviors of employees under cross-level boundary conditions of firm-level family ownership (FO) and group-level ethical leadership.

Philosophically, the present research comes under the post-positivist paradigm, with a deductive approach. The multilevel, multisource and multimethod data for this research were collected by employing a time-lagged design through the survey strategy and from annual reports of 60 manufacturing firms in Pakistan. The multilevel path analysis was conducted using MPlus.

The authors found that organizational identification (OID) statistically and significantly mediates the impact of firms' CSR disclosure on employees' innovative job performance (EIJP). However, the partial mediation of OID between firm-level CSR perception and EIJP was noticed. Moreover, a firm-level contingency of FO and group-level ethical leadership further intensifies the impact of CSR disclosure and perception on EIJP through OID.

Theoretically, this research widens the current understanding of employees' reactions to firms' CSR disclosure and perception by investigating the contingencies of firm-level FO and group-level ethical leadership. Practically, the managers can consider the underlying framework presented in this research in defining CSR as the antecedent of the OID and EIJP. For example, organizations must deliberately concentrate on not only their CSR initiatives and engagements but also immense attentiveness should be given to CSR disclosure because disclosing CSR will assist the top management in achieving the desired workplace attitudes and behaviors of employees. This research will also help business leaders to understand the integration of CSR and ethical leadership while making CSR-related strategic decisions.

Existing research on CSR still needs advancement due to competing explanations, inconsistencies in the findings, and a lack of multilevel studies. Although few studies on CSR have considered multilevel aspects by devising and testing multilevel mechanisms but largely remained deficient concerning cross-level boundary conditions. Furthermore, the authors also noticed that the academic literature predominantly analyses the impact of perceived CSR either at the individual level or the firm aggregated level on employee attitudes and behaviors. However, research on the effect of organizational CSR disclosure on the behaviors and attitudes of employees remains scarce.

This paper explores critical job resources (CRJRs) as predictors of job crafting and sustainable employability. Using job demands-resources (JD-R) theory as a theoretical lens, the authors examine how job crafting mediates CRJR and sustainable employability and whether work uncertainty as a boundary condition further strengthened these associations using moderated mediation approach.

The authors used a cross-sectional time-lagged research design by collecting data from 483 knowledge workers in Pakistan's healthcare and universities, both public and private. The authors used structural equation modeling using AMOS 25.0 software to examine the proposed relationships’ mediation, moderation and moderated-mediation processes, such as Hayes (2018) process models 1,7,14 and 58. In addition, the authors tested a structural model with self-developed estimands instead of using process macros available in SPSS by computing variables.

The results of this study confirmed that CRJR predicts job crafting and employees' sustainable employability. Furthermore, comprehensive testing suggested that mediation of job crafting between CRJR and sustainable employability further strengthened in the presence of a boundary condition of work uncertainty.

The study uncovers CRJR (job, organizational, social and relational) as a predictor of job crafting. The authors suggest that job design integrating CRJR helps organizations and managers promote job crafting and make employees responsible for their sustainable employability. The proposed CRJR has not been used as a predictor of job crafting, and no such study tested CRJR as a predictor of sustainable employability. The authors made comprehensive testing to examine the boundary condition of work uncertainty while examining the CRJR and sustainable employability relations via job crafting.

The purpose of this paper is to develop a decision support tool for risk-based maintenance scheduling for a large heavily equipped gas sweetening unit in a Liquefied Natural Gas (LNG) plant. Two conflicting objectives, i.e., total maintenance cost and the reliability, are considered in the tool. The tool is tested with the real plant data and suggests several Pareto-optimal schedules for a decision maker to choose from. The financial impacts are assessed.

A bi-objective scheduling optimization model is developed for maintenance scheduling using a risk-based framework. The model is developed integrating genetic algorithm and simulation-based optimization to find Pareto-optimal schedules. The model delivered true Pareto front optimal solutions for given plant-specific data. The two conflicting objectives: the minimization of total expenditures incurred on maintenance-related activities and improving the total reliability are considered.

For large and complex processing facilities such as LNG plant, a shutdown of facility generates a significant financial impact, resulting in millions of dollars in production loss. The developed risk-based equipment selection strategy helps to minimize such an event of production loss by generating a thorough maintenance strategy for inspection, repair, overhaul or replacement schedule of the unit without initiating the shutdown. The proposed model has been successfully applied to obtain an optimize maintenance schedule for a gas sweetening unit.

A future work may consider the state-dependent models for various failure modes that will result in obtaining a better representation of the model. The proposed scheduling can further be extended to multi-criteria scheduling including availability, resource limitation and inflationary condition. A comparative analysis with other meta-heuristic techniques such as harmony search algorithm, tabu search, and simulated annealing will further help in confirming the schedule obtained from this application.

Maintenance scheduling using a conventional approach for special equipment generally does not consider the conflicting objectives. This research addresses this aspect using a bi-objective model. The usefulness of risk-based method is to assist in minimizing the financial and safety risk exposure to the operating companies, but some variation in results is expected due to varying risk matrix for different organizations.

Managing two objectives, i.e., minimizing the cost of maintenance-related activities, while at the same time maximizing the overall reliability dramatically, helps in mitigating adverse safety and financial risk due to fires, explosions, fatality and excessive maintenance cost.

Research develops a decision support tool for managing conflicting objectives for an LNG process. This research highlights the impact of utilizing the simulation-based approach coupled with risk-based equipment selection for complex processing unit or plant maintenance scheduling optimization.

This paper aims to consider the heat transportation together with irreversibility analysis for the flow of couple stress hybrid nanofluid past over a stretching surface. The innovative characteristics of this paper include electro-magnetohydrodynamic (EMHD) term, viscous dissipation, Joule heating and heat absorption\omission. The hybrid nanofluid is prepared due to the suspension of the solid nanoparticles of the single wall and multi-wall carbon nanotubes (SWCNTs and MWCNTs) in the blood for the testing purpose of heat transfer and drug deliveries. The experimental value of the Prandtl number used for the blood is 21 from the available literature and very large as compared to the Prandtl number of the other base fluids. Appropriate transformations are incorporated to convert the modeled partial differential equations into the nonlinear ordinary differential equations. The homotopy analysis method (HAM) is used to obtain the solution. The explanation for velocity, energy and entropy are exposed under the influence of various parameters such as E, M, k, Q, S and Ec. The numerical values are calculated and summarized for dimensionless Cf and Nu.

In this investigation, heat transportation together with irreversibility analysis for the flow of couple stress hybrid nanofluid past over a stretching surface is considered. The innovative characteristics of this paper include EMHD term, viscous dissipation, Joule heating and heat absorption\omission. The hybrid nanofluid is prepared due to the suspension of the solid nanoparticles of the SWCNTs and MWCNTs in the blood for the testing purpose of heat transfer and drug deliveries. The experimental value of the Prandtl number used for the blood is 21 from the available literature and very large as compared to the Prandtl number of the other base fluids. Appropriate transformations are incorporated to convert the modeled partial differential equations into the nonlinear ordinary differential equations. The HAM is used to obtain the solution. The explanation for velocity, energy and entropy are exposed under the influence of various parameters such as E, M, k, Q, S and Ec. The numerical values are calculated and summarized for dimensionless Cf and Nu.

The explanation for velocity, energy and entropy are exposed and the flow against various influential factors is discussed graphically. The numerical values are calculated and summarized for dimensionless In addition, the current study is compared for various values of to that published literature and an impressive agreement in terms of finding is reported. It has also been noticed that the and factors retards the hybrid nanofluid flow, while the temperature of fluid becomes upsurges by the rise in these factors.

This is examined while evaluating the previously discussed publications that study on EMHD aspects of magnetized Casson type hybrid nanofluid via entropy generation research is innovative but also acknowledging that the couple stress model challenged bilaterally on stretching surface has not yet been studied. So, there is an ongoing attempt to bridge such a space.

Asset intensive process industries are under immense pressure to achieve promised return on investments and production targets. This can be accomplished by ensuring the highest level of availability, reliability and utilization of the critical equipment in processing facilities. In order to achieve designed availability, asset characterization and maintainability play a vital role. The most appropriate and effective way to characterize the assets in a processing facility is based on risk and consequence of failure. The paper aims to discuss these issues.

In this research, a risk-based stochastic modeling approach using a Markov decision process is investigated to assess a processing unit's availability, which is referred as the risk-based availability Markov model (RBAMM). RBAMM will not only provide a realistic and effective way to identify critical assets in a plant but also a method to estimate availability for efficient planning purposes and resource optimization.

A unique risk matrix and methodology is proposed to determine the critical equipment with direct impact on the availability, reliability and safety of the process. A functional block diagram is then developed using critical equipment to perform efficient modeling. A Markov process is utilized to establish state diagrams and create steady-state equations to calculate the availability of the process. RBAMM is applied to natural gas absorption process to validate the proposed methodology. In the conclusion, other benefits and limitations of the proposed methodology are discussed.

A new risk-based methodology integrated with Markov model application of the methodology is demonstrated using a real-life application.

The present research developed and investigated a multilevel theoretical framework by underpinning a resource-based view (RBV) that uncovers how and when academic researchers and organizational practitioners can strategically attain a competitive edge and increase their financial performance.

To consider the dynamic and ever-challenging business environment, this research examined the contingency of big data analytics (BDA) and entrepreneurial orientation (EO). The multi-source and multilevel data used for this research were gathered from 195 manufacturing firms listed on the Pakistan stock exchange by employing a time-lagged design and survey strategy. Additionally, for hypothesis testing, multilevel path analysis was conducted in MPlus.

The authors uncovered the sequential mediation mechanisms of organizational innovation (OI) and competitive advantage (CA) on the relationship between individual-level employee innovative job performance (EIJP) and firms' financial performance (FFP) based on the resource-based view. The authors noted positive and significant sequential mediation of OI and CA on the effect of EIJP on FFP. Similarly, the relationship between EIJP and OI was found to be stronger when the boundary conditions of BDA and EO were higher than when they were lower.

This research offers new practical insights for managers and organizational practitioners to better value their EIJP, and due diligence is required when employing BDA and EO to attain a competitive edge over competitors and increase financial performance.