Search results

1 – 10 of over 11000
To view the access options for this content please click here
Article

Yu-Shou Su

This paper aims to propose the practice of urban resilience to flooding in a vulnerable Asian city, Taipei. It conducts Geographic Information System (GIS)-based…

Abstract

Purpose

This paper aims to propose the practice of urban resilience to flooding in a vulnerable Asian city, Taipei. It conducts Geographic Information System (GIS)-based simulations to assess Taipei’s vulnerability under a set of varying flooding scenarios and likelihoods. This research concludes by proposing remedies to fill the gaps these flood simulations reveal and, in doing so, promotes urban resilience in Taipei. This paper provides an example of urban resilience to flooding for other cities in Asia.

Design/methodology/approach

The paper undertakes a case study of Taipei to survey current practices and historic analyses as a tool to evaluate a chronology of policies implemented to make Taipei resilient to flooding. It also conducts flood simulation and scenario analysis through the technology of GIS by using ArcMap 10.2.2 software to gauge the vulnerabilities in Taipei. These GIS-based data sets are collected from Taiwan’s central and local governments. This paper analyzes the vulnerability of population, land value, residential properties, GDP and critical facilities, such as major subway stations, medical centers, public schools, major public buildings, electric power substations and gas/oil stations. Additionally, it analyzes the likelihood and cost and benefit of different flooding scenarios based on typhoon and rainfall data sets in 1975-2014 period. After a thorough analysis of vulnerability, likelihood of flooding and cost–benefit analyses, this research develops Taipei resilience policies to address the vulnerabilities.

Findings

The findings indicate that Taipei case study, a chronology of policies implemented to prevent flooding, explains that costly engineering structures, rebuilding and fortification against floods eventually created a false sense of security, which has encouraged more intensive residential and commercial developments in flood-prone areas, and led to a higher level of vulnerability. Additionally, flooding simulations indicate that 40 per cent of Taipei City is located in flood risk areas in an extreme weather scenario. This percentage is higher than other global cities such as London’s 15 per cent, Tokyo’s 10 per cent and New York City’s 25 per cent. Based on the 10 per cent of total flooding areas above 0.5 m, the vulnerable population is estimated at 200,000 people, or 7 per cent of the total population. The GDP impact will be more than $28bn. More than $67bn of land value is vulnerable. A least one million subway passengers will be affected each day. Further, there is little evidence that the urban poor are particularly vulnerable to floods. On the contrary, some neighborhoods with high-income households face a higher risk of floods. Very few medical centers, oil and gas stations and electrical power substations are located in flood-prone areas, but a large number of public schools, administrative buildings and major subway stations are susceptible. Additionally, the likelihood analysis of flooding in an extreme rainfall scenario concludes that the possibility will be five times that of the existing assumption with a flood in every 200 years. Thus, Taipei City’s infrequent once-in-two-century floods are likely to occur more frequently.

Originality/value

This paper provides a thorough analysis of vulnerability, likelihood of flooding and cost–benefit analyses in Taipei. It also develops Taipei resilience policies to address the vulnerabilities. In the future, rather than strengthening and rebuilding costly structures, Taipei should focus on land-use and environmental planning for resilience. Urban policies should include environmentally responsible development in the face of continued population and economic growth, and being resilient regarding natural disasters. Most important is the need for a strong political commitment and leadership to initiate and implement urban policies toward resilience.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 8 no. 02
Type: Research Article
ISSN: 1759-5908

Keywords

To view the access options for this content please click here
Article

Quan Zhu, Harold Krikke and Marjolein Caniëls

The purpose of this paper is to investigate different combinations of collaboration strategies to deal with different types of supply chain disruptions, find the best…

Abstract

Purpose

The purpose of this paper is to investigate different combinations of collaboration strategies to deal with different types of supply chain disruptions, find the best combination, and provide targeting suggestions for investments.

Design/methodology/approach

A system dynamics simulation is applied to study a supply chain with three tiers: a producer, a logistics service provider (LSP), and a retailer. There are three types of disruptions to simulate: a producer capacity disruption, an LSP capacity disruption, and a demand disruption. As each tier has the option to choose whether or not to collaborate with the other two tiers, eight (2×2×2) scenarios are generated to represent different combinations of collaboration strategies.

Findings

For a producer capacity disruption, both the producer and the LSP should collaborate by providing their surge capacities, while the retailer does not have to collaborate. For an LSP capacity disruption, the producer should not provide its surge capacity, while the LSP should do so; the retailer does not have to collaborate. For a demand disruption, both the producer and the LSP should not provide their surge capacities, while the retailer should not collaborate but play shortage gaming. Targeting suggestions for investments are provided.

Originality/value

Through system dynamics modeling, this study allows the discussion of surge capacity to help supply chain partners and the discussion of shortage gaming when products are oversupplied, in a disruption recovery system over time.

Details

Industrial Management & Data Systems, vol. 116 no. 2
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article

Debasisha Mishra and Biswajit Mahanty

The aim of this paper is to make an attempt to find good values of onsite–offshore team strength; number of hours of communication between business users and onsite team…

Abstract

Purpose

The aim of this paper is to make an attempt to find good values of onsite–offshore team strength; number of hours of communication between business users and onsite team and between onsite and offshore team to reduce cost and improve schedule for re-engineering projects in global software development environment.

Design/methodology/approach

The system dynamics technique is used for simulation model construction and policy run experimentation. The experts from Indian software outsourcing industry were consulted for model construction, validation and analysis of policy run results in both co-located and distributed software development environment.

Findings

The study results show that there is a drop in the overall team productivity in outsourcing environment by considering the offshore options. But the project cost can be reduced by employing the offshore team for coding and testing work only with minimal training for imparting business knowledge. The research results show that there is a potential to save project cost by being flexible in project schedule.

Research limitations/implications

The study found that there could be substantial cost saving for re-engineering projects with a loss of project schedule when an appropriate onsite–offshore combination is used. The quality and productivity drop, however, were rather small for such combinations. The cost savings are high when re-engineering work is sent to offshore location entirely after completion of requirement analysis work at onsite location and providing training to offshore team in business knowledge The research findings show that there is potential to make large cost savings by being flexible in project schedule for re-engineering projects.

Practical implications

The software project manager can use the model results to divide the software team between onsite and offshore location during various phases of software development in distributed environment.

Originality/value

The study is novel as there is little attempt at finding the team distribution between onsite and offshore location in global software development environment.

Content available
Article

Zhao-Peng Li, Li Yang, Si-Rui Li and Xiaoling Yuan

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with…

Abstract

Purpose

China’s national carbon market will be officially launched in 2020, when it will become the world’s largest carbon market. However, China’s carbon market is faced with various major challenges. One of the most important challenges is its impact on the social and economic development of arid and semi-arid regions. By simulating the carbon price trends under different economic development and energy consumption levels, this study aims to help the government can plan ahead to formulate various countermeasures to promote the integration of arid and semi-arid regions into the national carbon market.

Design/methodology/approach

To achieve this goal, this paper builds a back propagation neural network model, takes the third phase of the European Union Emissions Trading System (EU ETS) as the research object and uses the mean impact value method to screen out the important driving variables of European Union Allowance (EUA) price, including economic development (Stoxx600, Stoxx50, FTSE, CAC40 and DAX), black energy (coal and Brent), clean energy (gas, PV Crystalox Solar and Nordex) and carbon price alternatives Certification Emission Reduction (CER). Finally, this paper sets up six scenarios by combining the above variables to simulate the impact of different economic development and energy consumption levels on carbon price trends.

Findings

Under the control of the unchanged CER price level, economic development, black energy and clean energy development will all have a certain impact on the EUA price trends. When economic development, black energy consumption and clean energy development are on the rise, the EUA price level will increase. When the three types of variables show a downward trend, except for the sluggish development of clean energy, which will cause the EUA price to rise sharply, the EUA price trend will also decline accordingly in the remaining scenarios.

Originality/value

On the one hand, this paper incorporates driving factors of carbon price into the construction of carbon price prediction system, which not only has higher prediction accuracy but also can simulate the long-term price trend. On the other hand, this paper uses scenario simulation to show the size, direction and duration of the impact of economic development, black energy consumption and clean energy development on carbon prices in a more intuitive way.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 5
Type: Research Article
ISSN: 1756-8692

Keywords

Abstract

Details

Transport Science and Technology
Type: Book
ISBN: 978-0-08-044707-0

To view the access options for this content please click here
Article

Xiaojing Liu, Tiru Arthanari and Yangyan Shi

This paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.

Abstract

Purpose

This paper examines the establishment of supply chain robustness against corruption by utilizing risk interactions.

Design/methodology/approach

Based on empirical results from the New Zealand dairy industry, a system dynamics model is established to explore the underlying relationships among variables.

Findings

The results show that although certain supply chain risks seem unrelated to corruption, their mitigation would help mitigate the impact of corruption due to risk interactions; and mitigation of some of the risks is more effective in mitigating the impact of corruption. Leverage risks have been defined and identified in this research, which expands the extant knowledge in reducing the impact of corruption on supply chains.

Originality/value

The research illustrates how the impact of corruption can be studied in an integrated way with dairy supply chain SD analysis. It is a pioneering study to mitigate the impact of corruption on supply chains from supply chain robustness.

Details

Industrial Management & Data Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0263-5577

Keywords

Abstract

Details

Advances in Accounting Education Teaching and Curriculum Innovations
Type: Book
ISBN: 978-0-85724-052-1

To view the access options for this content please click here
Article

Zvi Schwartz, Muzaffer Uysal, Timothy Webb and Mehmet Altin

This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel…

Abstract

Purpose

This paper aims to improve the accuracy of hotel daily occupancy forecasts – an essential element in the revenue management cycle – by proposing and testing a novel approach. The authors add the hotel competitive-set’s predicted occupancy as an input of the individual property forecast and, using a recursive approach, demonstrate that there is a potential for significant reduction in the forecasting error.

Design/methodology/approach

The paper outlines the theoretical justification and the mechanism for this new approach. It applies a simulation for exploring the potential to improve the accuracy of the hotel’s daily occupancy forecasts, as well as analysis of data from a field study of two hotel clusters’ daily forecasts to provide empirical support to the procedure’s viability.

Findings

The results provide strong support to the notion that the accuracy could be enhanced. Incorporating the competitive set prediction by using either a genetic algorithm or the simple linear regression model improves the accuracy of the forecast using either the absolute or the absolute percentage as the error measure.

Research limitations/implications

The proliferation of data sharing practices in the hotel industry reveals that the timely data sharing-aggregation-dissemination mechanism required for implementing this forecasting paradigm is feasible.

Originality/value

Given the crucial role of accurate forecasts in revenue management and recent changes in the hotels’ operating environment which made it harder to achieve or maintain high levels of accuracy, this study’s proposed novel approach has the potential to make a unique contribution in the realm of forecasting daily occupancies.

Details

International Journal of Contemporary Hospitality Management, vol. 28 no. 2
Type: Research Article
ISSN: 0959-6119

Keywords

To view the access options for this content please click here
Article

Peter R.J. Trim

The purpose of this paper is to make explicit why security needs to be viewed as a core activity and why senior management need to view security from a holistic…

Abstract

Purpose

The purpose of this paper is to make explicit why security needs to be viewed as a core activity and why senior management need to view security from a holistic perspective. Reference is made to various activities carried out by computer hackers and the costs associated with computer related crime.

Design/methodology/approach

A literature review was undertaken and a conceptual security model was produced. The key elements of the activities associated with security were highlighted and the links between the activities were made clear.

Findings

Organized criminal syndicates and international terrorist groups are increasing their level of activity. Senior managers within companies need to put in place an intelligence and security strategy to counter the activities of criminals and terrorists. Furthermore, senior managers will in the future have to work more closely with law enforcement representatives and industry representatives. They will also have to develop an appreciation of the strategic intelligence objectives of various governments. There is also evidence that senior management need to pay greater attention to identifying future threats associated with advances in internet technology.

Research limitations/implications

More attention will need to be given to how facilitating technology such as the internet is providing computer hackers and criminals with ways to either disrupt business activities or extend the range of criminal activities that they are engaged in.

Practical implications

Senior management will need to refocus on the capability of staff vis‐à‐vis corporate intelligence and security work. The learning organization concept can be embraced and can be used to assist staff to identify the advantages associated with effective knowledge management. Scenario analysis and simulation exercises can be used to train staff in emergency work, and disaster management and prevention.

Originality/value

A diverse range of topics is covered and integrated into a security‐oriented context. Attention is focused on the link between organized criminal syndicates and international terrorist groups, and why senior managers in companies need to be engaged in disaster management recovery planning. The material highlights why senior managers in companies need to develop business contingency plans and embrace the counterintelligence concept.

Details

Disaster Prevention and Management: An International Journal, vol. 14 no. 4
Type: Research Article
ISSN: 0965-3562

Keywords

To view the access options for this content please click here

Abstract

Details

Journal of Consumer Marketing, vol. 20 no. 3
Type: Research Article
ISSN: 0736-3761

Keywords

1 – 10 of over 11000