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The purpose of this paper is to investigate contracts of the intermodal transport market and the incentives they create for a modal shift and thus the financial and environmental efficiency of freight transport.

The research used a mixed-methods approach where qualitative case interviews and quantitative modeling was combined. Two cases of contractual relationships between a service provider and its intermodal train operator on a specific lane were investigated. The case findings were then consolidated and used as input for a model of the contractual relation. Findings were sought through an extensive numerical study.

The cases reported that intermodal rail operators had a strong production focus, transferring the capacity risk (i.e. the risk of unused capacity) to the service provider, which the service providers argued limited the shift from truck to intermodal transportation. The paper shows that, due to the market structure, it is rational for the operator to transfer the capacity risk but not the profit. Consequently, a modal shift is only likely to occur when there is strong shipper pressure or low capacity risk. We present a risk-sharing contract that could release this dead lock.

The conclusions are modeling outcomes subject to assumptions based on the cases. For further validation, large-scale quantitative studies are necessary.

The paper shows that a three-part tariff in which the capacity risk is shared may lead to increased modal shift and hence assumed improved environmental performance.

Instead of arguing for operators to be more customer-focussed, policy makers and other stakeholders may have more to gain by having both actors being more cooperation focussed.

The paper is the first attempt to quantify how the contractual relations on the freight transport market affect the modal mix and thus the financial and environmental efficiency of freight transport.

Capacity assessment is increasingly identified as a vital tool for effective capacity development for disaster risk reduction and climate change adaptation. However, most internationally supported capacity assessments focus mainly on one administrative level in their attempts to understand the current capacities and capacity needs of the system under study. This article aims to investigate the potential for discrepancies between what stakeholders on different administrative levels in Fiji express when explaining how their system for managing risk and disaster situations functions.

The study includes semi‐structured interviews with involved stakeholders from all administrative levels in Fiji, who are asked to describe what information and assistance is given or requested between administrative levels, in everyday circumstances and in disaster situations. The data were then analysed to identify similarities and differences in descriptions.

The study illustrates that there may be substantial discrepancies between accounts on different administrative levels concerning key functions of their system.

The study is not claiming that this always is the case, only that there may be a possibility for it. Potentially undermining the effectiveness of ensuing capacity development activities.

Given that capacity assessment is to create a coherent foundation for capacity development, the study indicates that it would beneficial to include a wider range of administrative levels in attempting to construct one comprehensive view of the current capacities and future capacity needs.

The research topic is novel and valuable for stakeholders in the international community active in capacity development.

The purpose of this paper is to empirically examine the impact of supply chain risks (SCRs) and demand management strategies (DMSs) on the company performance in order to study the use of DMSs in delivering improved results even in the presence of SCRs. The SCRs considered under the study are as follows: demand variability, constrained capacity and quality of services delivery, and competitive performance, customer satisfaction and financial performance are the measures considered for company performance.

This study is based on a survey of 439 businesses in India representing 10 groups of services industries (information technology/IT enabled services, business process outsourcing, IT infrastructure, logistics/transportation, healthcare, hospitality, personal services, consulting, education and training, consumer products and retail), using structural equation modeling (SEM) methods.

The findings reveal that presence of demand variability risk has significant influence upon the use of demand planning and forecasting, controlling customer arrival during peaks and shifting demand to future. Mismatch of capacity against demand (unused capacity) leads to the use of techniques to influence business during lean periods, thereby resulting in enhanced supply chain (SC) and financial performance. Controlling customer arrival during peaks to shift the demand to lean periods leads to enhanced financial performance. Presence of delivery quality risk does not significantly influence the use of DMS. Also, short-term use of customer and business handling techniques does not exert significant influence on company performance.

The study has limitations as follows: (1) respondents are primarily from India while representing global organizations, (2) process/service redesign to relieve capacity as a DMS is not considered and (3) discussion on capacity management strategies (CMSs) is also excluded.

SC managers can be resourceful in shifting the peak demand to future with the application of techniques to control customer arrival during peaks. The managers can also help enhance business by influencing business through offers, incentives and promotions during lean periods to use available capacity and improve company performance.

This study is one of the first empirical works to explore how presence of SCRs influences the use of DMS and impacts the three types of company performance. The study expands current research on demand management options (DMOs) by linking three dimensions of company performance based on the data collected from ten different groups of service industry.

A new framework to support the national and local capacity building plan for disaster risk management (DRM) in Cameroon is presented. For the past 30 years, after the general re-organisation of the civil protection department, capacity building programmes for DRM has been solely carried out for and by the Ministry of Territorial Administration and the Department of Civil Protection. The exclusion of businesses, civil society and community participation, among others, has been the main obstacle to capacity building programmes undertaken for DRM. The paper aims to discuss these issues.

Based on interviews conducted among 200 informants by means of a process of participatory monitoring and evaluation as well as a duo capacity building workshop for DRM held in August 2017 in Yaoundé, this paper evaluated existing capacity building programmes for DRM in Cameroon.

Findings show that the greater portion of government representatives within the public administration lack capacity to address DRM initiatives at the local and national levels of governance. While recommending DRM programmes as a necessity for integration within civil administrative curriculum, this paper proposes six elements to address capacity building gaps for DRM in Cameroon.

The results demonstrate critical gaps in capacity building aimed at DRM, especially where single ministry or department monopolises DRM. The findings provide the government with a useful tool to review its national strategy for a disaster reduction policy and the drawing up of a national intervention plan.

In this study, research problem has been designed as a fleet-based optimization problem. This paper aims to present fleet modelling with risk taxonomy. Fleet modelling has been assumed as strategic multi-criteria decision-making problem to capacity building. Capacity building risk management is an essential element within the scope of its strategy to ensure sustainable corporate performance. Optimization is a fundamental target in aviation business’ strategy and management since the manager make decisions in their multi-interrelated criteria environment. Also, aviation is a highly regulated sector, and its operational and business procedures have certain limits by both national and international authorities. For this reason, companies implement risk management for strategic optimization while performing operations in compliance with the legislation. Risk management with capacity building and resource dependency perspective applied for strategic optimization aims to capture opportunities and result in threats with minimum accidents and incidents.

The taxonomy and analytical hierarchy process (AHP) have been identified as methodologies in this research. The type of training in the high organizational performance of an approved training organization, strategy, resources and allocations with the corporate objectives, the amount and qualifications of the flight crew, their professionalism, maintenance team and licenses, hangar conditions and capacity, authority requirements and limits, region conditions, altitude and meteorology, student profile, together with a multi-criteria decision are to be considered. For each criterion, there are resources and thus resource dependence. In this study, the analytical network process method was used. In the construction of new taxonomy, specific criteria have been considered, and the analysis has been accomplished as multi-criteria decision-making problem because of the relationship and interaction between them. A number of professionals with high knowledge of the pilots and manager from Air Traffic Organization participated in the study.

The fleet modelling is both strategic and operational decision issue for training organizations. In this issue, there is a vital problem as which aircrafts should include fleet? Main criteria and sub-criteria are analyzed by AHP method and sorted according to their priorities and the fleet qualifications consisting of the most suitable aircraft/aircraft are presented. The finding and suggestions will contribute to establish sustainable organization in based on capacity building and resource dependency for managers. While analyzing main criteria, the important criteria which were found were strategic and then operational. After ordering main criteria, sub-criteria were analyzed and were multiplicated with their items. According to study findings, aircraft suitability for training model is the most important item. It follows respectively aircraft maintenance sustainability, cost of aircraft supply and faculty budget adequacy. However, operation characteristics of the square that is less important item was found. It was seen that the strategies used to manage dependencies used the bridge strategy. The results we obtained with the interviews with pilot managers are very significant in terms of resource dependence on the subject of fleet optimization. While first criterion is operational, it continues with strategic and financial criteria. After interviews with pilot managers, it was figured out that maintenance is also very important criteria. For managing this dependency, university has acquisitions, which is one of the strategy to manage dependency, rather than outsourcing. For this reason, maintenance criterion has lower importance than others. When thinking of other criteria, strategic and financial criteria have played an important role. University has tried to decrease dependency and increase sustainability.

Aircraft selection is a strategic decision of fleet modelling in both aviation business and also training organizations via influencing their corporate performance, operational performance, capacity building and their sustainability. There are some factors that limit the criteria, as research problem has been developed for approved training organizations not airlines. For this reason, our research is limited with fleet of training organizations. Our findings and suggestions may be useful for flight schools to managing their resource dependency and also to their capacity building. In this research, new taxonomy has been developed depending on training organizations’ qualifications. Airlines may improve this taxonomy to use in their decision-making process.

The fleets, which were established considering the taxonomy in this study, will be able to manage the risk of resource dependency more successfully. Pilot candidates will be able to provide a more ergonomic and higher quality education. This research and its findings will contribute to the development of organizations’ accurate and timely decision-making skills. Resource dependency may threat organizational sustainability in our research, New taxonomy and our holistic approach will support organizational efforts to achieve sustainable strategies.

New taxonomy to modelling fleet that has been developed in this research may provide contribution to approved training organizations for both managing resource dependency-based risks and to capacity building-related decision-making process. This research may serve organizations as strategic decision-making tool. And also this kind of study may contribute to improve sustainability of organizations and serve more good fleet for their pilot candidates. For these reasons, this research may create social implications, as both resource using and capacity building will make contribution for society and add value.

This research presents new risk taxonomy and criteria. Also new taxonomy and its criteria are analysed with AHP. It is thought that this research shows risk management-based approach for fleet modelling creates benefits for approved training organizations to using their limited sources effectively and efficiently. The article includes risk management and capacity building-related approach to decision-making. also, this research presents modeling which will contribute to the management field besides literature. In developing taxonomy process, the analysis has been conducted, based on expert opinions and referred to for these pairwise comparisons. Airlines managers and risk managers may examine their fleet modelling according to our taxonomy which is based on risk management.

When a production system is operating at close to capacity then, after a period of high demand, it may take some time to restore stocks to the level necessary to provide a given level of stockout risk. During this period the risk of a stockout will be higher than intended. Uses simulation to show how customer service levels fall dramatically as average production levels approach available capacity and to determine the increases in levels of safety stock necessary to maintain desired customer service levels when capacity is limited.

Risks can easily disrupt the demand–supply match targeted by sales and operations planning (S&OP). As surprisingly little is known of how organizations identify, assess, treat and monitor risks through tactical planning processes, this paper zooms in on the S&OP set-up and process parameters to explore how risks are managed through S&OP.

A multiple case study analyzes the S&OP processes of seven organizations in the process industry, drawing on 17 in-depth interviews with high-ranking representatives, internal and external documents, and a group meeting with participating organizations.

The study finds that organizations proactively design their S&OP based on their main risk focus stemming from the planning environment. In turn, such designs proactively support organizations' risk identification, assessment, treatment and monitoring through their S&OP execution. Reactively, a crisis S&OP meeting – making use of the structure of S&OP – can be used as a risk-treatment tool, and S&OP design can be temporarily adapted to deal with emerging risks.

This study is among the first to empirically elucidate risk management through S&OP. S&OP design, execution and adaption are identified as three interconnected strategies that allow organizations to manage risks. The design enables risk management activities in the monthly execution of S&OP. The reactive role of S&OP in risk management is particularly novel.

This study aims to describe the fundamentals of teaching risk management in a classroom setting, with an emphasis on the learning interface between higher education and the workplace environment for business management students.

The study reviews literature that uses spreadsheets to visualize and model risk and uncertainty. Using six distinct case-based activities (CBAs), the study illustrates the practical applications of software like Palisade @RISK in risk management education. It helps to close the gap between theory and practice. The software assists in estimating the likelihood of a risk event and the impact or repercussions it will have if it occurs. This technique of risk analysis makes it possible to identify the risks that need the most active control.

@RISK can be used to create models that produce results to demonstrate every potential scenario outcome. When faced with a choice or analysis that involves uncertainty, @RISK can be utilized to enhance the perspective of what the future might contain.

The insights from this study can be used to develop critical thinking, independent thinking, problem-solving and other important skills in learners. Further, educators can apply Bloom’s taxonomy and the problem-solving taxonomy to help students make informed decisions in risky situations.

The risks of natural hazards such as flooding, earthquakes, tsunami, landslides, tornado, coastal erosion and volcano are apparent in Auckland because of its vulnerability to multiple risks. The coping capacity of individuals serves as a precursor to the adaptation to inherent challenges. The purpose of this paper was to examine the coping capacity of the South African community in Auckland to a disaster event.

This study gathered information from both primary and secondary sources. Interviews and survey were the main sources of primary data. The research used parametric and non-parametric statistical tools for quantitative data analysis, and the general inductive process and a three-step coding process to analyse qualitative data. The research findings are discussed in line with existing studies.

The results indicated that the aggregate coping capacity of the community was above average on the scale of 1-5 with communication and economic domains having the highest and least capacities, respectively. An improvement in disaster response activities and economic ability among the vulnerable population should be considered in future policy to enhance coping capacity.

The study was limited to the time of the investigation. The practical coping capacity of the community during challenges will be determined. This study excludes the roles of institutions and the natural environment in coping capacity because the unit of analysis was the individual members of the community.

The research is a pioneer study on the coping capacity of the South African community in Auckland.

This paper aims to describe an in-depth study that aimed to assess and develop a strategic disaster risk reduction plan to integrate climate change adaptation countermeasures in Cilincing, a North Jakarta City sub-district.

The study used a back-casting approach to cover hazard assessment induced by increased susceptibility, as well as vulnerability, both as a baseline study and projected up to 2045 at the micro level. The urban village (Kelurahan) level is the unit of analysis. The capacity analysis is used as baseline data, which is reviewed against the trend of the hazard and vulnerability.

The results of the study identify short-, medium- and long-term recommendations to integrate disaster risk reduction and climate change adaption. These include capacity building, especially emergency response capabilities, an increase of drainage capacity, improvements to transboundary management and minimising driving forces.

These findings at the micro level are very important to present a more holistic and realistic strategy that can be implemented until 2045, but also provides a basis for up scaling into metropolitan region planning.

This is a unique, micro-scale case study in the Cilincing sub-district of Jakarta that assesses and develops strategic disaster risk countermeasures and a reduction plan that integrates the effects of climate change, thereby addressing future disaster risk in Jakarta.