The Acceptance of Using Information Technology for Disaster Risk Management: A Systematic Review

The numbers of natural disaster events are continuously affecting human and the world economics. For coping with disaster, several sectors try to develop the frameworks, systems, technologies and so on. However, there are little researches focusing on the usage behavior of Information Technology (IT) for disaster risk management (DRM). Therefore, this study investigates the affecting factors on the intention to use IT for mitigating disaster’s impacts. This study conducted a systematic review with the academic researches during 2011-2018. Two important factors from the Technology Acceptance Model (TAM) and others are used in describing individual behavior. In order to investigate the potential factors, the technology platforms are divided into nine types. According to the findings, computer software such as GIS applications are frequently used for simulation and spatial data analysis. Social media is preferred among the first choices during disaster events in order to communicate about situations and damages. Finally, we found five major potential factors which are Perceived Usefulness (PU), Perceived Ease of Use (PEOU), information accessibility, social influence, and disaster knowledge. Among them, the most essential one of using IT for disaster management is PU, while PEOU and information accessibility are more important in the web platforms

Drone Delivery Services: An Evaluation Of Personal Innovativeness, Opinion Passing And Key Information Technology Adoption Factors

Since drone delivery service started in Iceland in 2017, various business organizations have considered the adoption of the technology. This study examines critical factors that are pertinent to the adoption of drone delivery services by end users. Based on the theoretical foundations such as social networking, marketing, and technology, this study examined the relationships among opinion passing, personal innovativeness, perceived ease of use, and perceived usefulness and their effect on the decision to adopt drone delivery services, and among these factors. The findings of this study show that perceived usefulness had the strongest impact on behavioral intention, followed by personal innovativeness. Opinion passing and perceived ease of use, however, were found to have no effect on behavioral intention. In addition, personal innovativeness played a significant role in increasing opinion passing, followed by behavioral intention and perceived usefulness. Lastly, perceived ease of use had a direct influence on perceived usefulness, but not behavioral intention. Academic and practical implications are drawn from these findings to conclude the study

Assessment of the Building Situation Tool adoption among firefighters

Abstract. Technology and technical tools have become standard resources that first responders use in their work. Throughout an incident, technology serves to improve communications, planning, safety, situational awareness, and decision-making. Certain incidents require specialized tools to resolve the crisis, whether it is for the law enforcement, medical, or firefighter unit to manage. One under-utilized technology is building sensors, recording information on temperature, CO2, smoke, airflow, and movement in the building. While modern buildings include sensors to monitor for potential dangers, that information is not shared with the fire department beyond notification of a fire alert. Despite the considerable number of hardware and software solutions adopted, firefighters in Kainuu, Finland still rely on paper plans when examining indoor disasters. The Building Situation Tool (BUST) was developed to utilize the building sensors and visualize the building as a 3D model, to provide firefighters with a realtime overview of the site during emergencies. The purpose of this study is to investigate the technological competencies of firefighters, determine the usability and ease of use of BUST, and examine the factors that influence the adoption of BUST. The constructs of the Technology Acceptance Model (TAM), selfefficacy, and workplace learning are used. These three constructs provide insight into how the intention to use technology is modeled, how users perceive their knowledge and use of technology, and how the workplace influences learning and performance. A mixed-method approach was used in this study. The firefighter’s technology self-efficacy, perceived usefulness, and ease of were recorded through quantitative questionnaires. The firefighter’s experiences in using the technology and factors that influence adoption were recorded through a questionnaire and interview. The findings show a sufficient level of competency, that first-time users prefer guided instructions, clarity in the user interface, controls, and options to customize the user interface. The findings have practical implications for the future development of BUST and its adoption in the workflow of firefighters

Online information seeking: a review of the literature in the health domain

The development of the information technology and Internet has been transforming the healthcare industry. The internet is continuously accessed to seek for health information and there are variety of sources, including search engines, health websites, and social networking sites. Providing more and better information on health may empower individuals, however, ensuring a high quality and trusted health information could pose a challenge. Moreover, there is an ever-increasing amount of information available, but they are not necessarily accurate and up to date. Thus, this paper aims to provide an insight of the models and frameworks related to online health information seeking of consumers. It begins by exploring the definition of information behavior and information seeking to provide a better understanding of the concept of information seeking. In this study, critical factors such as performance expectancy, effort expectancy, and social influence will be studied in relation to the value of seeking health information. It also aims to analyze the effect of age, gender, and health status as the moderator on the factors that influence online health information seeking, i.e. trust and information quality. A preliminary survey will be carried out among the health professionals to clarify the research problems which exist in the real world, at the same time producing a conceptual framework. A final survey will be distributed to five states of Malaysia, to solicit the feedback on the framework. Data will be analyzed using SPSS and SmartPLS 3.0 analysis tools. It is hoped that at the end of this study, a novel framework that can improve online health information seeking is developed. Finally, this paper concludes with some suggestions on the models and frameworks that could improve online health information seeking

Proceeding 3rd ICBE 2017

Proceeding 3rd ICBE 201

Application of protection motivation theory to study the factors that influence disaster recovery planning: An empirical investigation

In today\u27s information intensive and networked world, Disaster Recovery Planning (DRP) is a critical and significant activity. However, DRP does not always receive the attention it deserves. Therefore, it is critical to examine the factors that influence the undertaking of disaster recovery planning. A model on disaster recovery planning was developed using the theoretical lens of Protection Motivation Theory (PMT). Drawing from PMT literature and using the information technology disaster recovery planning (ITDRP) construct developed by Shropshire and Kadlec (2009), a research model was developed in which perceived severity, perceived vulnerability, intrinsic rewards, extrinsic rewards, fear, response efficacy, self-efficacy, and response costs are the determinants of ITDRP. The results of an Exploratory Factor Analysis (EFA) indicated issues of conceptual overlap of items of perceived severity with other factors and therefore, the variable perceived severity was dropped from the model. Based on a Principal Components Analysis (PCA), the items of ITDRP were consolidated into three factors: (1) identification, recovery, and back-up procedures; (2) procedures for the DRP plan, human resources, and physical facilities; and (3) offsite storage. Three regression models were formed with these three factors as the dependent variables. The regression results showed that self-efficacy and response costs were significant and consistent predictors of ITDRP. These results are consistent with previous studies that used PMT in other contexts

A model of amateur radio community behavioural intention to use amateur radio communication technology in emergency situations

Amateur Radio Community (ARC) is a small community that passionately uses amateur radio communication technology (ARCT) to support relief agencies during emergency situation. Understanding their behavioural intention (BI) would help us recognize salient factors that can empower the public to participate actively and support the government relief agencies in emergency situation. As ARC exhibits responsible, trustworthy, and willing behaviour to use the ARCT, especially in emergency situation, it is interesting to explore these unique behaviours so that government can empower them to actively continue using ARCT. However, the lack of demographics information as well as salient factors that drive their intentions in using ARCT has limited the government's efforts in engaging them to support relief agencies. Thus, this study develops a model to unravel these problems.This study employs a quantitative research method via an online survey. The survey instrument is constructed by reviewing relevant factors, which the ARCT experts then confirm. A pilot study involving 30 experienced ARC was conducted to check instrument reliability. Academic experts verified the research instrument before and after the pilot study. For the main study, 400 respondents were selected from the ARC throughout Malaysia. This study presented the ARC demographics, such as age, gender, race, education level, occupation, income, practice and skill in using ARCT. The findings revealed that the most significant factors were compatibility because using ARCT is their usual practice in daily life. Hedonic motivation, which is referred to as ARC excitement and willingness to use ARCT to achieve satisfaction, was also a significant factor. Other significant factor includes habit, peer trustworthiness, social influence, performance expectancy, price value, effort expectancy and facilitating condition. While, experience, age and gender were significant in moderating the relationship between each factor. The moderating effect shows the variance in the strength of the relationship of each factor. In conclusion, this study's outcomes are meant to be included as guidelines for the stakeholders in dealing with emergency situation. In addition, the established model can be further explored by researchers in their future studies on this subject. The salient factors identified from the study showed the ARC readiness to be at the forefront in supporting relief agencies before, during or after a disaster struck

Small-to-Medium-Size Enterprise Managers’ Experiences With Cloud Computing

Historically, managers of small- and medium-sized enterprises (SMEs) have had concerns regarding cloud computing and cybersecurity. Their resistance to using cloud computing has influenced their ability to do business effectively and to compete with businesses that use cloud computing. The purposes of this descriptive phenomenological study were to explore the lived experiences and perceptions of SME managers that might influence their decisions to adopt cloud computing. Watson’s concept of resistance to change and Davis, Bagozzi, and Warhaw’s technology acceptance model were the conceptual frameworks that guided this qualitative study. Data collection consisted of conducting 16 semi-structured interviews with open-ended questions with SME managers. Data were coded and compared to identify emerging themes among responses. The findings showed positive cloud-based experiences, such as availability of training, flexibility, efficiency, cost-effectiveness, ease of use, and assurance data security. The findings indicated some negative experiences with cloud-based applications, such as fear of cybercrime, expensive licenses, software complexity, and concern for data security. The results of the study may lead to positive social change by providing a better understanding of the perceptions and experiences that influence SME managers’ decisions regarding the adoption of cloud-based computing technology. Such understanding could be used to provide resources to allay the fears of SMEs and encourage them to be more willing to consider cloud computing