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The purpose of this paper is to research the impact of foreign direct investment (FDI) on China's economic growth, so as to measure reasonable scales of FDI and the safe coefficient of China's FDI utilization, make timely predictions, and suggest specific foreign capital management and controlling strategies for the policy makers to adopt under various conditions.

This paper builds early warning systems (EWSs)for China's FDI utilization, applies grey correlation model GM (1,1) to predict early warning indexes, and uses both of the grey correlation and analytic hierarchy process (AHP) to evaluate the weights of the indexes.

The paper finds that FDI can promote China's economic growth, make great contribution to the technology spillover and improve China's employment environment as well as the quality of employment. But its contribution is less than the domestic capital in the aspects of China's industrial structure, area structure and trade structure adjustment, and more seriously, FDI exacerbates the imbalance of the area distribution in China. Moreover, foreign capital focuses on the occupation and monopoly of the domestic market, which will reduce import and export trade and harm the development of China's economy.

Owing to data constraints, this paper is not detailed and comprehensive enough, and needs further exploration in the empirical work.

Given the strong evidence of the EWS for FDI utilization, this paper finds a precise way to evaluate the influence of FDI on China's economic growth, by which the government can implement different capital management and controlling strategies to smooth the openness process of FDI in China.

This paper applies EWS into the FDI utilization to evaluate the safe coefficient and achieve the warning indexes, which are evaluated by the combination of the grey correlation and AHP.

Persons with disabilities face the impacts of disasters differently. Early warning systems can be one of the powerful tools to reduce the vulnerabilities of persons with disabilities and mitigate the impacts of disasters. The main objective of this study was to assess the disability inclusiveness of the current early warning system (EWS) in flood-prone areas of Bangladesh.

A qualitative method was focused on getting in-depth information. Persons with disabilities participated in focus group discussions (FGDs) and shared the inclusiveness and gaps of the current EWS. Through extensive literature review, a checklist was developed to conduct the FGDs. QDA Miner 6.0.6 software was used for coding and analyzing the data.

Results indicated that, though persons with disabilities have proper risk knowledge, the current monitoring and warning service, dissemination and communication, and response capability are not fully inclusive. A significant gap in the EWS was found in response capability. Even if somehow persons with disabilities manage to receive a warning about a flood, they lack the capacity to respond to the warning.

The study proposed that to make an EWS inclusive and effective, the concerned authorities should focus on all four parts of the EWS.

Studies related to disability and disaster management are not very common. Conducting a qualitative study provided the persons with disabilities the opportunity to share their perspectives. Future studies can focus on vulnerability and capacity assessment of persons with disabilities to identify areas requiring interventions to enhance resilience.

The purpose of the study is to evaluate the severity of public events in real time from the perspective of social media and to construct the early warning mechanism of public events.

This study constructed the severity assessment system of public events from the dimensions of the netizens' role, the Internet media's role, the spread of public events and the attitudes and feelings of netizens. The method of analyzing the influence tendency of the public event severity indicators was proposed. A total of 1,107,308 microblogging entries regarding four public events were investigated. The severity of public events was divided into four levels.

It is found that serious public events have higher indicator values than medium level events on the microblogging platform. A quantitative severity classification standard for public events was established and the early warning mechanism of public events was built.

Microblogging and other social media platforms provide rich clues for the real-time study and judgment of public events. This study only investigated the Weibo platform as the data source. Other social media platforms can also be considered in future.

Different from the ex-post evaluation method of judging the severity of public events based on their physical loss, this study constructed a quantitative method to dynamically determine the severity of public events according to the clues reflected by social media. The results can help the emergency management departments judge the severity of public events objectively and reduce the subjective negligence and misjudgment.

To highlight the failure of the tsunami early warning system and the challenges of successfully responding to, and managing a transnational catastrophe of this nature. The paper also highlights unique challenges in the management of this catastrophe and suggests potential strategies for good disaster response and management in this response and beyond.

Primary data collection was by telephone interviews with experts in the South and South‐East Asian region, supplemented by a comprehensive literature review of scholarly journals, reports from relief agencies and United Nations situation reports and bulletins amongst others. The scope of the paper is limited to the issue of a warning not been passed onto appropriate authorities in the region, the unique challenges of the relief response and the rehabilitation and reconstruction of the affected communities.

From the study, there is a need for further investigation into the catastrophic warning failure; as reasons proffered by the early warning officials for their inability to pass on a warning to authorities in the affected area appear weak at this stage. The study also found unique geographical, political, economic and social challenges facing the international relief and reconstruction effort. Specifically some of the challenges include the management of the media and information, logistics and coordination, needs and damage assessment, donations and safety and security issues amongst others. In summary, the author found that there is also a need for foreign assistance agencies to be seen to be fair, to build trust and ownership of relief and reconstruction efforts amongst the local populace, as well as use local people as much as possible.

The study was conducted only 21 days (three weeks) after the tsunami catastrophe of 26 December 2004, hence it is a snapshot of events in the days immediately after the catastrophe. The relief action is an on‐going event and there may be changes as new information emerges from the field.

A world wide network of integrated submarine earthquake and tsunami monitoring and early warning system should be set up. Critical warning information in any potential disaster should be shared as inclusively as possible. Relief workers must be seen to be politically and religiously neutral, especially in the civil conflicts of Banda Aceh Indonesia. Finally relief and aid should be given on the basis of sound humanitarian principles such as need, not just on wider economic criteria.

The study highlights specific potential challenges which relief organisations must deal with in responding effectively to the disaster, and in assisting to reconstruct the region. The paper proffers specific strategies for effective management of the international assistance effort. Finally, the study adds to the literature on developing countries and is valuable for governments, emergency and relief workers, policy makers in both developed and developing countries.

This paper presents a model for predicting crises in small businesses using early‐warning signals. It summarises the results of two separate studies carried out in Finland (with 72 per cent response) and the UK (26 per cent) on the decision process of corporate analysts (Finland) and bank managers (UK) in predicting the failure of small and medium‐sized enterprises (SMEs). Both studies consist of seven main headings and over 40 sub‐headings of possible factors leading to failure. Weighted averages were used for both studies to show the importance of these factors. There are significant similarities in the results of the two studies. Management incompetence was regarded as the most important factor, followed by deficiencies in the accounting system and attitude towards customers. However, low accounting staff morale was considered a very important factor in Finland but not in the UK. Unlike Finland, the UK results emphasised the importance of accounting systems and internal control. These two studies differ from previous studies as managerial auditing elements like the importance of internal control departments (UK evidence) and budgetary control systems were included. Similarities in the results of these surveys conducted under two separate EU environments imply that it would be interesting and beneficial to extend these studies to other member states.

Purpose – The purpose of this paper is to develop prototype of the web-based home fire early warning system using Wiznet W5500 Ethernet module. This system protocol helps users in sending information of fire through the internet with the internet of things (IoT) method using Wiznet Ethernet module as communication media to the user.

Design/Methodology/Approach – This paper presents the design of web-based home fire early warning system using Wiznet W5500 Ethernet module. The system prototype is built using flame sensors, MQ-02 smoke sensors, and LM35 temperature sensors as input components. While on the processor side using Arduino Uno microcontroller as sensor data processing. Processed data is sent to the Ethernet module as a web server resulting in a web-based early warning information system with an alarm notification on the browser along with home location status information and sensor data.

Findings – This research produces a prototype of the web-based home fire early warning system using Wiznet W5500 Ethernet module that has been able to provide notification to the security officer housing.

Research Limitations/Implications – In the implementation of measurement, the information system only accesses one house detector or one fire location.

Practical Implications – This research produces a prototype of the web-based home fire early warning system using Wiznet W5500 Ethernet module that has been able to distribute data of temperature, smoke, and fire.

Originality/Value – The development of fire monitoring systems using flame sensors, smoke sensors and integrated temperature sensors in internet-based communication systems of things via the Internet W5500 does not appear to have been published yet.

This paper seeks to provide a timely consideration of how regional governments in Asia and other national governments around the world collect, manage, and share critical geo‐technical information in what is becoming an increasingly global community.

The paper addresses the socio‐technical perspective of government information systems and management, and draws on the collection and analysis of several public reports, media articles, and expert opinions published in the aftermath of the Asian tsunami of 26 December 2004.

On the basis of the published material, the paper observes how critical early warning information was handled by government authorities in the hours before the tsunami wave strike, discusses the availability of technological solutions that can provide earthquake and tsunami warning information, and poses that government bureaucracies and human relations form the weakest link in the information chain.

The paper concludes with a potential research agenda for government warning information systems and management.

The type of early warning information system that might be created to avoid another loss of life, suggested improvements to inter‐government information sharing and communications, and the emerging requirement for earthquake and tsunami information dissemination and education in lesser developed countries are also discussed.

The research enabled the examination of weaknesses in critical information sharing between governments and members of the international community, and highlights the issue of strong human relationships as a key to preventing the loss of life and better managing disasters.

To improve insufficient management by artificial management, especially for traffic accidents that occur at crossroads, the purpose of this paper is to develop a pro-active warning system for crossroads at construction sites. Although prior studies have made efforts to develop warning systems for construction sites, most of them paid attention to the construction process, while the accidents that occur at crossroads were probably overlooked.

By summarizing the main reasons resulting for those accidents occurring at crossroads, a pro-active warning system that could provide six functions for countermeasures was designed. Several approaches relating to computer vision and a prediction algorithm were applied and proposed to realize the setting functions.

One 12-hour video that films a crossroad at a construction site was selected as the original data. The test results show that all designed functions could operate normally, several predicted dangerous situations could be detected and corresponding proper warnings could be given. To validate the applicability of this system, another 36-hour video data were chosen for a performance test, and the findings indicate that all applied algorithms show a significant fitness of the data.

Computer vision algorithms have been widely used in previous studies to address video data or monitoring information; however, few of them have demonstrated the high applicability of identification and classification of the different participants at construction sites. In addition, none of these studies attempted to use a dynamic prediction algorithm to predict risky events, which could provide significant information for relevant active warnings.

Introduction Within the framework of an empirical study the structure and the developmental stage of planning and control systems in 355 companies of different branches and sizes in German industry were investigated. In so doing planning and control, with the help of data processing, were analysed throughout industry as a whole as well as in sectional classes.

The purpose of this paper is to connect the theoretical idea of warning systems as social processes with empirical data of people’s perceptions of and actions for warning for cyclones in Bangladesh.

A case study approach is used in two villages of Khulna district in southwest Bangladesh: Kalabogi and Kamarkhola. In total, 60 households in each village were surveyed with structured questionnaires regarding how they receive their cyclone warning information as well as their experiences of warnings for Cyclone Sidr in 2007 and Cyclone Aila in 2009.

People in the two villages had a high rate of receiving cyclone warnings and accepted them as being credible. They also experienced high impacts from the cyclones. Yet evacuation rates to cyclone shelters were low. They did not believe that significant cyclone damage would affect them and they also highlighted the difficulty of getting to cyclone shelters due to poor roads, leading them to prefer other evacuation options which were implemented if needed.

Theoretical constructs of warning systems, such as the First Mile and late warning, are rarely examined empirically according to people’s perceptions of warnings. The case study villages have not before been researched with respect to warning systems. The findings provide empirical evidence for long-established principles of warning systems as social processes, usually involving but not relying on technical components.