Search results

This paper aims to describe the phenomenon of multiple simultaneous un/natural disasters (MSDs). This study also aims to describe the importance and contribution of philosophy in describing MSDs warning and alarming systems.

The paper summarizes topics in the philosophy of MSDs that were covered in detail in previous research in order to continue with the topic of the philosophy of MSDs alarming and warning. A practical solution to conceptual paradoxes is researched by means of conceptual-morphological analysis.

The paper proposes a conceptual idea for MSDs alarming system which is its main topic; namely, it offers a conceptual solution to a series of practical-conceptual paradoxes that occur before, during and after MSDs.

This is only a conceptual research, and it does not deal with particular technological solutions.

The proposed solution of this research could be implemented in various warning and alarm systems.

The proposed concept of a universal alarm system for MSDs was not previously proposed.

This paper aims to provide a general overview of the international Tsunami warning system mandated by the United Nations, particularly on cataloging past studies and a strategic focus in the Indian Ocean, particularly on the Bay of Bengal region.

Present research assimilates the secondary non-classified data on the Tsunami warning system installed in the Indian Ocean. Qualitative review and exploratory research methodology have been followed to provide a holistic profile of the Tsunami rarly warning system (TEWS) and its role in coastal resilience.

The study finds the need for strategic focus to expand and interlink regional early warning cooperation mechanisms and partnerships to enhance capacities through cooperation and international assistance and mobilize resources necessary to maintain the TEWS in the Indian Ocean region. The enhanced capacity of the TEWS certainly improves the resilience of Indian Ocean coastal communities and infrastructures.

The study is original research and useful for policy planning and regional cooperation on data interlinkages for effective TEWS in the Indian Ocean region.

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.

The purpose of this pilot study was to evaluate an online mental health literacy training program for college female mentors.

Undergraduate female participants (n = 10) completed in asynchronous mental health literacy training. Participants completed the Heads Up Checkup (HCU) and mental health literacy scale (MHLS). Participant usage data were collected for the training course and analyzed using means and standard deviations. Qualitative data were analyzed by axial coding and thematic categorization.

The mean MHLS score, based on mean (M) and standard deviation (SD), was high for the participants (M = 145.69, SD = 8.41). Six qualitative themes from the training effectiveness feedback were used: (1) help-seeking, (2) stress management, (3) tailored guidance to resources, (4) understanding warning signs, (5) body image awareness and (6) engaging with mentees.

There are a few limitations to this study including the small sample size, unrestricted time frame for completion of the asynchronous training and the need for long-term follow-up of the intervention effects.

This pilot study provides initial support for the mental health literacy training program when implemented with undergraduate females.

Given inadequate mental health literacy in college females regarding such topics, continually training undergraduates about these warning signs is necessary. Future research could consider implementing this program with all gender identities, various age groups and in both synchronous and asynchronous modalities. This program could also be replicated using a pre- and post-test design to evaluate direct impact of the training on outcome variables.

All the participants discussed how the training prepared them in aiding mentees in help-seeking and identifying appropriate mental health resources. Participants also indicated how the training enabled personal and others-oriented stress management, which supports a mental health literacy training program that reduced stress in medical students.

This case presents some of the entrepreneurial challenges faced by a female leader in the technology sector who conceived a new product based on her passion to help others especially those most disadvantaged.

Upon completion of this case study, students should be able to prepare supply chain and distribution analysis that considers ethics and sustainability, integrate philanthropic efforts as part of an organizational strategy and recognize strategies to promote equity within and beyond an organization.

Connie Stacey (she/her) is an entrepreneur and president of Growing Greener Innovations, an award-winning battery energy storage company based in Alberta, Canada, with a mission to end energy poverty globally. With the emergence of COVID-19 as a global pandemic in 2020, Stacey turned her attention to an innovation called Project Rescue, a ventilator that uses non-identifying patient vitals to track data. It serves as a pandemic early warning system, addressing two key challenges: pandemic data are prone to error, and real-time information is non-existent after the pandemic has spread. This new product was conceived based on her passion to help others, especially those most disadvantaged. This multi-faceted case focuses on the many challenges that Stacey and her team needed to address. The dilemma in this case centres on establishing supply chains amid a pandemic, as well as prioritizing the corporate social responsibility elements of philanthropy and equity within her organization (and beyond).

This case is appropriate for third- or fourth-year undergraduate or graduate-level students.

In addition to “call out boxes” throughout the case and teaching note, additional readings/links/videos are outlined below. (These supplementary materials, “Teaching Tips”, are included in the teaching notes as well.)

CCS 11: Strategy.

This paper aims to develop a crisis readiness framework for road traffic crisis response for law enforcement agencies in the United Arab Emirates (UAE).

A Delphi method was used that combined questionnaire-based survey and the analytical hierarchy process to collect quantitative and qualitative data from an expert panel of crisis readiness professionals on how they prioritise and weigh the different strategic criteria, sub-criteria and performance indicators in the context of law enforcement agencies’ traffic response.

The findings of this paper resulted in the identification, ranking and validation of ten key dimensions of crisis readiness clustered into three distinct sets of priority rankings: response planning, resources, training and coordination; information management and communication and risk and hazard assessment; and early warning, legal and institutional frameworks, recovery initiation and property protection. The results additionally established the relative priority of sub-criteria for each criterion and validated a broad set of key performance indicators (KPIs) for the top six ranked criteria.

The findings are based on a single case study focused on a specific area of operation within crisis response and one group of organisations of the UAE police sector. This potentially places a constraint on the wider generalisation of the findings to different operational areas and agencies, as they may have different priorities or organisational conditions that have implications for the framework application and the relative importance of certain criteria and sub-criteria.

This paper provides strategic guidance in the form of a prioritised list of criteria, sub-criteria and KPIs that can direct efforts to optimise different dimensions of crisis readiness at a strategic and operational level.

This paper makes an original contribution in identifying the key criteria and performance indicators of crisis readiness for road traffic situations. The findings contribute a comprehensive strategic readiness framework that supports planning and decision-making for the development of organisational capacities that can enhance response times of police to road traffic crises. This framework ranks dimensions of crisis readiness and key sub-criteria in order of priority and validates the key components of crisis readiness that can support practitioners to structure, standardise and benchmark key processes and elements of crisis response.

Disasters and other emergencies are increasing, with millions of people affected by events like earthquakes, fires and flooding. The use of mobile emergency alert systems (MEAS) can improve people’s responses by providing targeted alerts based on location and other personal details. This study aims to understand the factors that influence people’s willingness to share the personal information that is needed to provide context-specific messaging about a threat and protective actions.

Drawing on protection motivation theory (PMT), this study proposes and tests a model of willingness to use personalised MEAS that incorporates key factors related to an individual’s appraisal of a potential threat (i.e. perceived vulnerability and severity) and coping capacity (i.e. response efficacy and self-efficacy), with deterrents like response cost and privacy concern. This study uses survey data from 226 respondents in New Zealand and SmartPLS to assess the model.

The results show how willingness to use MEAS is influenced by people’s appraisal of an emergency threat and their perception of how using MEAS would help them to cope effectively. Fear and perceived severity are significant motivators of MEAS use, along with coping appraisal. However, when the negative influences of privacy concern and response cost are strong enough, they can dissuade use, despite knowing the risks.

The study addresses a gap in research on the use of alert systems like MEAS, which require sharing of personal information and continuous engagement such as the real-time disclosure of one’s location. It confirms the significance of factors not studied in prior research, such as privacy concerns, that can dissuade use. This study also extends the application of the PMT in the context of emergency management.

While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect.

Four national surveys in the USA (N = 1,415), the UK (N = 1,435), South Korea (N = 1,798) and Mexico (N = 784) were conducted between April and September 2021. The survey questionnaire measured algorithmic knowledge, perceived influence of misinformation on self and others, intention to take corrective actions, support for government regulation and content moderation. Collected data were analyzed using multigroup SEM.

Results indicate that algorithmic knowledge was associated with presumed influence of misinformation on self and others to different degrees. Presumed media influence on self was a strong predictor of intention to take actions to correct misinformation, while presumed media influence on others was a strong predictor of support for government-led platform regulation and platform-led content moderation. There were nuanced but noteworthy differences in the link between presumed media influence and behavioral responses across the four countries studied.

These findings are relevant for grasping the role of algorithmic knowledge in countering rampant misinformation on social media, as well as for expanding US-centered extant literature by elucidating the distinctive views regarding social media algorithms and misinformation in four countries.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

This paper delves into evaluating the effectiveness of warning messages as a deterrent against excessive fat consumption. It examines how consumers perceive the fat content of food products when presented with two distinct label types: (1) a textual warning, providing succinct information about the fat content, and (2) a pictorial warning, offering a visual representation that immediately signifies the fat content.

Two quantitative studies were carried out. Study 1 employed a questionnaire to evaluate the efficacy of textual and pictorial warning messages on high- and low-fat food products. Similarly, Study 2 replicated this comparison while incorporating a neuromarketing instrument to gauge participants’ cerebral reactions.

Results indicate that pictorial warnings on high-fat foods significantly deter consumers’ purchasing intentions. Notably, these pictorial warnings stimulate the left prefrontal area of the cerebral cortex, inducing negative emotions in consumers and driving them away from high-fat food items.

While the influence of images over text in shaping consumer decisions is well understood in marketing, this study accentuates the underlying mechanism of such an impact through the elicitation of negative emotions. By understanding this emotional pathway, the paper presents fresh academic and managerial perspectives, underscoring the potency of pictorial warnings in guiding consumers towards healthier food choices.

1. Textual warnings do not seem to discourage high-fat product consumption.

2. A pictorial warning represents the fat content of an equivalent product.

3. Pictorial warnings decrease the intention to purchase a high-fat product.

4. Pictorial warnings determine an increase in negative emotions.

Textual warnings do not seem to discourage high-fat product consumption.

A pictorial warning represents the fat content of an equivalent product.

Pictorial warnings decrease the intention to purchase a high-fat product.

Pictorial warnings determine an increase in negative emotions.