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The earth is facing challenges to work for the survival of human life during domino effect disasters. The emergency resource storage locations should be selected considering the probability of domino effect disasters. The first purpose of this study is to select the storage locations where domino effect probability is less. And second, facility development cost and transportation costs and costs for unutilized capacity have been optimized.

The work is a multiobjective optimization problem and solved with weighted sum approach. At first, the probabilities of domino effect due to natural disasters are calculated based on the earthquake zones. Then with that result along with other necessary data, the location to set up storage facilities and the quantities of resources that need to be transported has been determined.

The work targeted a country, Bangladesh for example. The authors have noticed that Bangladesh is currently storing relief items at warehouse which is under the domino effect prone region. The authors are proposing to avoid this location and identified the optimized cost for setting up the facilities. In this work, the authors pointed out which location has high probability of domino effect and after avoiding this location whether cost can be optimized, and the result demonstrated that this decision can be economical.

Disaster response authorities should try to take necessary proactive steps during cascading disasters. The novelty of this work is determining the locations to select storage facilities if the authors consider the probability of the domino effect. Then a facility location optimization model has been developed to minimize the costs. This paper can support policymakers to assess the strategies for selecting the location of emergency resource facilities.

This study aims to understand the domino effect on housing and construction sector along the economic dimensions in light of COVID-19 pandemic.

The view point in this paper is written based on the domino effect of various sectors in India. Starting from the macro-economic events through to the micro-economic events, the changes are discussed along the platform of COVID-19. Early literature to support the discussions and a wide range of periodicals to observe the current events are used in arriving at a hypothesis.

The impact in any sector does not happen because of a sole event rather it is consequence of changes and trends that took place in multiple sectors. This paper identifies such changes in the sectors of oil industry, cement manufacturing, housing and construction sector during COVID-19. The paper concludes on confirming the hypothesis with two opinions. One by accepting the principle of domino effect that construction domain had various impacts by other sectors at different levels during pandemic. Another on considering the level of impact, the sector has withstood the impacts in various manners and is growing in extensive directions proving the sector to be resilient.

The paper showcases the impacts of various sectors on construction domain with an insight of most recent trends supported by early literature. The linking of elements is the significance of the paper.

Previous studies have postulated that an advance payment system (APS) positively impacts the contractor's working capital and is paramount to ensuring an efficient and effective project cash flow process. However, scant research has been undertaken to empirically establish the cash flow performance and domino effect of APS on project and organisational performance.

The epistemological design adopted a positivist philosophical stance augmented by deductive reasoning to explore the phenomena under investigation. Primary quantitative data were collected from 504 Construction Industry Development Board (CIDB) registered contractors (within the grade bandings 1–9) in South Africa. A five-point Likert scale was utilised, and subsequent data accrued were analysed using structural equation modelling (SEM).

Emergent findings reveal that the mandatory use of an APS does not guarantee a positive project cash flow, an improvement in organisational performance or an improvement in project performance.

The ensuing discussion reveals the contributory influence of APS on positive cash flow and organisational performance, although APS implementation alone will not achieve these objectives. Practically, the research accentuates the need for various measures to be concurrently adopted (including APS) towards ensuring a positive project cash flow and improved organisational and project performance.

There is limited empirical research on cash flow performance and the domino effect of APS on project and organisational performance in South Africa, nor indeed, the wider geographical location of Africa as a continent. This study addresses this gap in the prevailing body of knowledge.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

Growing social concerns and ecological issues accelerate firms’ environmental, social and governance (ESG) engagement. Hence, this study aims to advance the existing literature by focusing on the interplay between institutional and firm governance mechanisms for greater ESG engagement. More specifically, the authors investigate whether public governance stimulates excessive ESG engagement and whether corporate governance moderates this relationship.

Using a sample of 43,803 firm-year observations affiliated with 41 countries and 9 industries, the authors adopt a country, industry and year fixed-effects regression analysis.

The authors find that public governance strength via its six dimensions stimulates excessive ESG engagement. This implies that firms in countries with strong voice and accountability, political stability, government effectiveness, regulatory quality, rule of law and control of corruption are more motivated for ESG engagement. Furthermore, corporate governance negatively moderates the relationship between all public governance dimensions (except political stability) and excessive ESG engagement. This implies that public governance and corporate governance are substitutes for encouraging firms to commit to ESG. Further tests reveal that whereas these results in the baseline analyses are valid for developed countries, they are not valid in emerging markets.

The findings support the interplay between institutional and agency theories. In countries with strong (weak) institutional mechanisms, corporate governance becomes weak (strong) in inciting greater stakeholder engagement. This implies that the public governance mechanism alleviates agency costs, rendering internal mechanisms of corporate governance noncompulsory for ESG engagement.

The findings suggest that emerging countries need to reinforce their institutions for greater accountability, regulatory quality and control of corruption, which will have a domino effect on firms in addressing stakeholder expectations. The results also advise emerging country firms to augment their internal monitoring mechanisms for greater stakeholder engagement, such as structuring boards and establishing corporate social responsibility mechanisms, committees and policies.

This study contributes to the recent literature investigating the role of corporate governance mechanisms in excessive ESG engagement. The study also explores whether public governance is associated with greater ESG involvement and provides a comprehensive analysis of the association between six indicators of public governance quality and excessive ESG practices in developed and emerging economies.

One of the most significant impacts of the withdrawal of the United Kingdom from the European Union (EU) would be the complication, and even the stalemate, of the supranational unification process of the EU, which was the founding idea of the Union. In this chapter, the adverse circumstances that will take place in the supranational unification process will be addressed over two significant issues. The first of the issues is the losses that the Union will experience. The Union, which had realized partnership in many areas to achieve the supranational unification and which, at least, has held out hope for other areas, would experience significant losses concerning motivation, time, capacity, and power of influence, and it would be difficult for the Union to reconstitute itself. In addition to these losses, the consolidation of the right-wing populism filled with Eurosceptic and nationalist reactions in the member states following Brexit will further weaken the aspiration for supranational unification. Ultimately, the visibility of the relations in an intergovernmental context, instead of a supranational one, will become the dominant element, and the EU's journey toward long-term founding purpose will receive a major blow.

This study aims to develop an interface management risk interaction modeling and analysis methodology applicable to complex systems in high-speed rail construction projects, reveal the interaction mechanism of interface management risk and provide theoretical support for project managers to develop appropriate interface management risk response strategies.

This paper introduces the association rule mining technique to improve the complex network modeling method. Taking China as an example, based on the stakeholder perspective, the risk factors and significant accident types of interface management of high-speed rail construction projects are systematically identified, and a database is established. Then, the Apriori algorithm is used to mine and analyze the strong association rules among the factors in the database, construct the complex network, and analyze its topological characteristics to reveal the interaction mechanism of the interface management risk of high-speed rail construction projects.

The results show that the network is both scale-free and small-world, implying that construction accidents are not random events but rather the result of strong interactions between numerous interface management risks. Contractors, technical interfaces, mechanical equipment, and environmental factors are the primary direct causal factors of accidents, while owners and designers are essential indirect causal factors. The global importance of stakeholders such as owners, designers, and supervisors rises significantly after considering the indirect correlations between factors. This theoretically explains the need to consider the interactions between interface management risks.

The interaction mechanism between interface management risks is unclear, which is an essential factor influencing the decision of risk response measures. This study proposes a new methodology for analyzing interface management risk response strategies that incorporate quantitative analysis methods and considers the interaction of interface management risks.

The COVID-19 pandemic, a sudden and disruptive external shock to the USA and global economy, profoundly affected various operations. Thus, it becomes imperative to investigate the repercussions of this pandemic on the US housing market. This study investigates the impact of the COVID-19 pandemic on a crucial facet of the real estate market: the Time on the Market (TOM). Therefore, this study aims to ascertain the net effect of this unprecedented event after controlling for economic influences and real estate market variations.

Monthly time series data were collected for the period of January 2010 through December 2022 for statistical analysis. Given the temporal nature of the data, we conducted the Durbin–Watson test on the OLS residuals to ascertain the presence of autocorrelation. Subsequently, we used the generalized regression model to mitigate any identified issues of autocorrelation. However, it is important to note that the response variable derived from count data (specifically, the median number of months), which may not conform to the normality assumption associated with standard regression models. To better accommodate this, we opted to use Poisson regression as an alternative approach. Additionally, recognizing the possibility of overdispersion in the count data, we also explored the application of the negative binomial model as a means to address this concern, if present.

This study’s findings offer an insightful perspective on the housing market’s resilience in the face of COVID-19 external shock, aligning with previous research outcomes. Although TOM showed a decrease of around 10 days with standard regression and 27% with Poisson regression during the COVID-19 pandemic, it is noteworthy that this reduction lacked statistical significance in both models. As such, the impact of COVID-19 on TOM, and consequently on the housing market, appears less dramatic than initially anticipated.

This research deepens our understanding of the complex lead–lag relationships between key factors, ultimately facilitating an early indication of housing price movements. It extends the existing literature by scrutinizing the impact of the COVID-19 pandemic on the TOM. From a pragmatic viewpoint, this research carries valuable implications for real estate professionals and policymakers. It equips them with the tools to assess the prevailing conditions of the real estate market and to prepare for potential shifts in market dynamics. Specifically, both investors and policymakers are urged to remain vigilant in monitoring changes in the inventory of houses for sale. This vigilant approach can serve as an early warning system for upcoming market changes, helping stakeholders make well-informed decisions.

This study aims to explore the effect of power-based behaviours on pharmaceutical supply chain (PSC) resilience.

This study used a mixed-method approach to explore the role of power-based behaviours in PSC resilience. Qualitative interviews from 23 key PSC stakeholders, followed by thematic analysis, revealed the underlying perceptions regarding PSC resilience. Quantitative propositions were then developed based on the themes adopted from PSC resilience literature and the qualitative findings. These were tested via a survey questionnaire administered to 106 key stakeholders across the various levels in the PSC. Structural equation modelling with partial least squares was used to analyse the data.

The data analysed identified proactive and reactive strategies as resilience strategies in the PSC. However, power-based behaviours represented by quota systems, information and price control influenced these resilience strategies. From a complex adaptive system (CAS) perspective, the authors found that when power-based behaviours were exhibited, the interactions between PSC actors were mixed. There was a negative influence on reactive strategies and a positive influence on proactive strategies. The analysis also showed that PSC complexities measured by stringent regulations, long lead times and complex production moderated the effect of power-based behaviour on reactive strategies. Thus, the negative impact of power-based behaviours on reactive strategies stemmed from PSC complexities.

This research particularly reveals the role of power-based behaviours in building PSC resilience. By evaluating the nexus from a CAS perspective, the analysis considered power-based behaviours and the moderating role of PSC complexities in developing resilience strategies. This study considers the interactions of PSC actors. This study shows that power asymmetry is a relational concept that inhibits the efficacy of reactive strategies. This study thus advocates the importance of power in achieving a more resilient PSC from a holistic perspective by highlighting the importance of the decision-making process among supply chain (SC) partners. The findings are particularly relevant if PSC resilience is viewed as a CAS. All the interactions and decision-making processes affect outcomes because of their inherent complexities. Although this study focused on the PSC, its implications could be extended to other SCs.

The authors identified that power-based behaviours influenced resilience strategies. It was detrimental to reactive strategies because of the complexities of the PSC but beneficial to proactive strategies through resource-sharing. PSC actors are therefore encouraged to pursue proactive strategies as this may aid in mitigating the impact of disruptions. However, power-based behaviours bred partner dissatisfaction. This dissatisfaction may occur even within strategic alliances indicating that power could be detrimental to proactive strategies. Therefore, it is pertinent to identify conditions that lead to dissatisfaction when pursuing strategic partnerships. This study provides insight into actual behaviours influencing resilience and quantifies their effects on the PSC. These insights will be valuable for all SC partners wanting to improve their resilience strategies.

Previous PSC management and resilience studies have not examined the role of power in building resilience in the PSC. This paper thus provides a unique contribution by identifying the role of power in PSC resilience, offers empirical evidence and a novel theoretical perspective for future practice and research in building PSC resilience strategies.

Despite the significance of a gender-diverse workforce, there is a lack of comprehensive review of gender diversity and women's career advancement literature. Moreover, past literature focuses on women-on-board and other subsets based on outcomes like firm financial and non-financial performance, corporate social performance and board interlocks. The purpose of this study is to examine the research on gender diversity and women's career advancement through an analysis of 143 articles published during past decade. Theoretical frameworks, contexts and constructs-based contribution to scholarship were reviewed. The authors attempt to highlight key theories, constructs and contexts and provide direction for future research.

A comprehensive systematic literature review of 143 articles spanning January 2008–March 2023 about gender diversity and women’s career advancement was conducted.

Majority of the past studies have focused on women on board and top management team, and most of them have been conducted in the context of the USA and China. There is no specific industry which has been covered extensively. Resource dependency, resource-based views and agency theories are the primary theoretical frameworks used in the past studies. Furthermore, these findings suggest the scope to further focus on women’s retention and career growth initiatives, especially at levels other than top levels, for a stronger leadership pipeline.

This study has been conducted with a focused analysis of the context, constructs and theoretical frameworks, enabling future researchers to decide how and where to focus, to now strengthen retention of women.