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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.

Theory and empirical research show how building cycles’ behaviour has substantial differences within countries among its different geographical areas. There is evidence of the existence of specific area leadership regarding development activity and how this influence is transmitted to the rest of the country as a locomotive effect in residential construction. This means that the aggregate building cycle could strongly depend on cycles in specific areas. This paper follows this approach and investigates the relationship between geographic areas’ intensity in housing construction, showing how activity development in some of these areas is influencing the rest of the country. This process is analysed in Spain during the 1990s, using information on house licenses of construction given by regional areas and applying cointegration methodology to identify leading areas in building activity. Some leadership effect is found in the Levante area attracting building activity from the rest of the country during this period.

Most large enterprises have “a global view” in the expansion of their activities and, thus, in the creation of their investment projects. They invest in specific countries when they conclude that the countries in question fulfill their goals. It is not enough that an economy of a country has as a target to become a market economy, to open its borders and to attract foreign direct investment (FDI) flows for the economy to become globalized, but it is necessary for this result to be shown by significant foreign participation and huge FDI and trade inflows into the host country. If this never happens, then the country will not benefit from globalization. From one point of view, multinational enterprises (MNEs) “decide” which countries benefit from economic integration and which countries successfully participate in the huge worldwide globalized economic chain. On the other hand, due to the large investment opportunities that a few countries offer to MNEs and due to the large number of host countries, at the end, MNEs invest only in specific countries. Thus, there are a lot of countries that are isolated from the whole system. Moreover, smaller MNEs in economic magnitude often extend their activities mainly to neighboring countries, in order to maximize their profits and minimize their costs. The share of FDI is not the same in all countries and the FDI inflows in less‐developing or poor countries show little growth or no growth at all. Today's FDI orientation is not as global as expected and there is a regional trend in those flows, when at the same time a few countries, especially from specific regions (such as the Balkan region) still live cut off from the world of FDI flows.

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.

Previous studies have observed a “falling dominoes effect”, whereby transformational leadership at high levels in a managerial hierarchy appears to cascade to lower levels. This paper presents a counterpoint to such observations by means of a case study which shows that the effect may be blocked by the delegation of authority; by self‐serving behaviour by a powerful group member; and through a lack of appropriate training and development at middle management levels. It cautions against the assumption that the falling dominoes effect is automatic; encourages managers to be more active in their search for barriers to the effect; and calls for more research into how leadership practices become distributed throughout organizations.

The purpose of this paper is to provide a structured methodology for performing build‐in reliability (BIR) investigation during a new product development cycle.

The methodology in this paper represents an extension of the Quality Functional Deployment/House of Quality (QFD/HoQ) concepts to reliability studies. It is able to translate the reliability requisites of customers into functional requirements for the product in a structured manner based on a Failure Mode And Effect Analysis (FMEA). Besides, it then allows it to build a completely new operative tool, named House of Reliability (HoR), that enhances standard analyses, introducing the most significant correlations among failure modes. Using the results from HoR, a cost‐worth analysis can be easily performed, making it possible to analyse and to evaluate the economical consequences of a failure.

The paper finds that the application of the proposed approach allows users to identify and control the design requisites affecting reliability. The methodology enhances the reliability analysis introducing and managing the correlations among failure modes, splitting the severity into a detailed series of basic severity aspects, performing also cost/worth assessments.

It is shown that the methodology enables users to finely analyse failure modes by splitting severity according to the product typology and the importance of each Severity criterion according to laws or international standards. Moreover the methodology is able to consider the “domino effects” and so to estimate the impact of the correlation between the causes of failure. Finally a cost/worth analysis evaluates the economical consequences of a failure with respect to the incurred costs to improve the final reliability level of the product.

The paper proposes a completely new approach, robust, structured and useful in practice, for reliability analysis. The methodology, within an integrated approach, overcomes some of the largely known limits of standard FMECA: it takes into account multiple criteria, differently weighted, it analyses the product considering not only the direct consequence of a failure, but also the reaction chain originated by a starting failure.

The purpose of this paper is to investigate age replacement policies for two-component parallel system with stochastic dependence. The stochastic dependence considered, is modeled by a one-sided domino effect. The failure of component 1 at instant t may induce the failure of component 2 at instant t+τ with probability p _1→2. The time delay τ is a random variable with known probability density function h _{p 1→2} (.). The system is considered in a failed state when both components are failed. The proposed replacement policies suggest to replace the system upon failure or at age T whichever occurs first.

In the first policy, costs and durations associated with maintenance activities are supposed to be constant. In the second replacement policy, the preventive replacement cost depends on the system’s state and age. The expected cost per unit of time over an infinite span is derived and numerical examples are presented.

In this paper and especially in the second policy, the authors find that the authors can get a more economical policy if the authors consider that the preventive replacement cost is not constant but depends on T.

In this paper, the authors take into account of the stochastic dependence between system components. This dependence affects the global reliability of the system and replacement’s periodicity. It can be used to measure the performance of the system et introduced into design phase of the system.

This study aims to explore how business-to-business service failures manifest in a manufacturing context.

The empirical research involved two case studies: case study one included 20 interviews in the metal finishing industry; case study two included 20 interviews in the paint and coatings industry. In both case studies, suppliers and customers’ perceptions were obtained to facilitate a dyadic understanding of the phenomena.

Business-to-business service failure is a complex, dynamic and interactive process. It varies according to type of service, services supporting the products and services supporting the customers, service quality dimensions and the source of the failure. It can have a more profound impact than service failure in a consumer context because it may cause disruption to customers’ production and have a negative influence of failure on their clients in the network.

Business customers may play a role in value co-destruction rather than value co-creation by causing service failures due to errors on their part. The consequences of the domino effects revealed in this study need to be given careful consideration by managers. The research is exploratory, and the findings may be influenced by the manufacturing sector in which the case study firms are based.

Business-to-business service failure has its own distinct characteristics, as it may impact widely in the business-to-business network. Domino effects implicitly dominate business-to-business service failure episodes where negative outcomes cascade downstream and affect service recipients’ customers.

This paper aims to introduce the concept of cybersecurity footprint.

Characteristics of cybersecurity footprint are presented based on documented cases, and the domino effect of cybersecurity is illustrated. Organizational and individual cybersecurity footprints are outlined. Active and passive – digital vs cybersecurity footprints are then reviewed. Taxonomy of aware/unaware vs active/passive cybersecurity footprints are presented, followed by brief discussion of the implications for future research.

The concept of cybersecurity footprint is defined, and the evidence from prior cyber incidents is shown to emphasize the concept. Smaller organizations may have a large cybersecurity footprint, whereas larger organizations may have smaller one. Cyberattacks are focusing on the individuals or small organizations that are in the supply chain of larger organizations causing the domino effect.

Implications of cybersecurity footprint to individuals, organizations, societies and governments are discussed. The authors present organizations with ways to lower cybersecurity footprint along with recommendations for future research.

Cybersecurity has a significant social implication worldwide, as the world is becoming cyber dependent. With the authors’ introduction of the cybersecurity footprint concept and call to further understand how organizations can measure and reduce it, the authors envision it as another perspective of assessing cyber risk and further help mitigate future cyber incidents.

This paper extends the existing information and computer security body of knowledge on the concept of cybersecurity footprint with illustrated cases.