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This research paper aims to delve into the perceptions of health susceptibility among Iranian, Afghan and Tajik individuals hailing from asylum-seeking or refused asylum-seeking backgrounds currently residing in Finland, Norway and Sweden.

Semi-structured interviews were conducted between May and October 2022 involving a sample size of 27 participants. An adapted framework based on the health belief model along with previous studies served as a guide for formulating interview questions.

Notably influenced by cultural background, religious beliefs, psychological states and past traumatic experiences during migration journeys – before arrival in these countries till settling down – subjects’ perception of health concerns emerged significantly shaped. Additionally impacting perspectives were social standing, occupational status, personal/family medical history, lifestyle choices and dietary preferences nurtured over time, leading to varying degrees of influence upon individuals’ interpretation about their own wellness or illness.

Insights garnered throughout the authors’ analysis hold paramount significance when it comes to developing targeted strategies catering culturally sensitive health-care provisions, alongside framing policies better aligned with primary care services tailored explicitly around singular demands posed by these specific communities dwelling within respective territories.

This investigation represents one among few pioneering initiatives assessing perceptions regarding both physical and mental well-being within minority groups under examination across Nordic nations, unveiling complexities arising through intersecting factors like individual attributes mingling intricately with socio-cultural environments, thereby forming unique viewpoints towards health-care belief systems prevalent among such population segments.

The emerging business partner role of management accountants (MAs) results in an increased requirement of MAs to make business decisions. Frame dependence cognitive biases regularly influence decisions made in conditions of uncertainty, as is the case in business decision-making. Consequently, this study aims to examine susceptibility of MAs to frame dependence bias.

A survey was conducted among an international sample of practising MAs. The proportion of MAs influenced by framing bias was analysed and compared to findings in other populations. Logistic regression was then used to determine whether MAs who exhibit a higher preference for evidence-based (as opposed to intuitive) decision-making are more susceptible to framing bias.

Despite a comparatively high preference for evidence-based decision-making, the prevalence of framing bias among MAs is comparable to that of other populations. A higher preference for evidence-based decision-making was found to only be associated with higher susceptibility to endowment effect bias.

To the best of the authors’ knowledge, this is the first study to comprehensively examine framing bias for MAs as a group of decision-makers. Additionally, this study’s sample consists of practising MAs, and not only students.

Disruptive shocks significantly compromise service contexts, challenging multidimensional value (co)creation. Recent focus has been on consumers experiencing vulnerability in service contexts. However, the susceptibility of service firms, employees and other actors to the impacts of disruptive shocks has received little attention. Since resource scarcity from disruptive shocks heightens tensions around balancing different needs in the service system, this paper aims to propose a framework of balanced centricity and service system resilience for service sustainability.

Adopting a conceptual model process, the paper integrates resilience and balanced centricity (method theories) with customer/consumer vulnerability (domain theory) resulting in a definition of multiactor vulnerability and related theoretical propositions.

Depleted, unavailable, or competed over resources among multiple actors constrain resource integration. Disruptive shocks nevertheless have upside potential. The interdependencies of actors in the service system call for deeper examination of multiple parties’ susceptibility to disruptive resource scarcity. The conceptual framework integrates multiactor vulnerability (when multiactor susceptibility to resource scarcity challenges value exchange) with processes of service system resilience, developing three research propositions. Emerging research questions and strategies for balanced centricity provide a research agenda.

A multiactor, balanced centricity perspective extends understanding of value cocreation, service resilience and service sustainability. Strategies for anticipating, coping with and adapting to disruptions in service systems are suggested by using the balanced centricity perspective, offering the potential to maintain (or enhance) the six types of value.

This research defines multiactor vulnerability, extending work on experienced vulnerabilities; describes the multilevel and multiactor perspective on experienced vulnerability in service relationships; and conceptualizes how balanced centricity can decrease multiactor vulnerability and increase service system resilience when mega disruptions occur.

The purpose of the paper is to predict mapping of areas vulnerable to flooding in the Ourika watershed in the High Atlas of Morocco with the aim of providing a useful tool capable of helping in the mitigation and management of floods in the associated region, as well as Morocco as a whole.

Four machine learning (ML) algorithms including k-nearest neighbors (KNN), artificial neural network, random forest (RF) and x-gradient boost (XGB) are adopted for modeling. Additionally, 16 predictors divided into categorical and numerical variables are used as inputs for modeling.

The results showed that RF and XGB were the best performing algorithms, with AUC scores of 99.1 and 99.2%, respectively. Conversely, KNN had the lowest predictive power, scoring 94.4%. Overall, the algorithms predicted that over 60% of the watershed was in the very low flood risk class, while the high flood risk class accounted for less than 15% of the area.

There are limited, if not non-existent studies on modeling using AI tools including ML in the region in predictive modeling of flooding, making this study intriguing.

This study introduces the concept of audiovisual alerts and warnings as a way to reduce phishing susceptibility on mobile devices.

This study has three phases. The first phase included 32 subject matter experts that provided feedback toward a phishing alert and warning system. The second phase included development and a pilot study to validate a phishing alert and warning system prototype. The third phase included delivery of the Phishing Alert and Warning System (PAWS^TM mobile app) to 205 participants. This study designed, developed, as well as empirically tested the PAWS^TM mobile app that alerted and warned participants to the signs of phishing in emails on mobile devices.

The results of this study indicated audio alerts and visual warnings potentially lower phishing susceptibility in emails. Audiovisual warnings appeared to assist study participants in noticing phishing emails more easily and in less time than without audiovisual warnings.

This study's implications to mitigation of phishing emails are key, as it appears that alerts and warnings added to email applications may play a significant role in the reduction of phishing susceptibility.

This study extends the existing information security body of knowledge on phishing prevention and awareness by using audiovisual alerts and warnings to email recipients tested in real-life applications.

The purpose of this paper is to evaluate the effectiveness of the intervention program for dengue fever prevention among people in rural communities.

A quasi-experimental study was designed for two groups. The intervention group received five weeks of dengue hemorrhagic prevention program consisted of knowledge broadcast, campaign, model house contest and group education. The control group received only the usual care of health promoting hospitals. The primary expected outcomes were changes in knowledge, perceived susceptibility, perceived severity, perceived benefit, perceived barriers and preventive action from baseline data, post-intervention and three-month follow-up, along with a comparison between the two groups. The secondary expected outcomes were changes in house index (HI) from baseline to post-intervention and three-month follow-up, along with a comparison between the two groups.

From the total of 64 participants, 32 were randomly assigned to the control group and 32 were randomly assigned to the intervention group. There were significant differences in knowledge, perceived susceptibility, perceived severity, perceived benefit, perceived barriers, preventive action and HI in the intervention group after received the five-week intervention program and at three-month follow-up (p<0.05).

Dengue hemorrhagic prevention program based on the Health Belief Model was effective in lowering HI and improving knowledge, perceived susceptibility, perceived severity, perceived benefit, perceived barriers and preventive action among people in rural communities. The intervention program may be beneficial in primary care in such a rural community.

Corruption is a major social problem, and scholars have devoted considerable attention to this phenomenon. However, less attention has been paid to how corruption spreads among organizations and what factors can make its spread more likely. This study aims to fill the gap by modelling corruption as an interorganizational contagion.

The authors used social contagion theory to model corruption as an interorganizational contagion, influenced by the susceptibility of organizations and the strength of contagion sources. The study analysed 736 medium and large Italian municipalities over a five-year period, with 3,146 observations (excluding missing data). The authors conducted a longitudinal analysis using panel logistic regression techniques and performed robustness and endogeneity checks through a dynamic panel data model.

The authors found that municipalities with a higher percentage of corrupt neighbouring municipalities were more likely to experience corruption. The probability of experiencing corruption was also significantly higher for municipalities with weaker organizational resistance to corruption contagion.

Previous studies have not clearly explained the organizational mechanisms behind the spread of corruption at the interorganizational level. The study suggests that corruption contagion at the municipal level occurs via reduced uncertainty in decision-makers and is influenced by the prevalence of corruption locally. The spread can be driven by conscious or unconscious mechanisms. This study challenges the idea that corruption contagion is immediate and inevitable. Organizational resistance to corruption can affect the risk of contagion, highlighting the importance of anti-corruption controls and ethical systems in preventing it.

Phishing attacks are the most common cyber threats targeted at users. Digital nudging in the form of framing and priming may reduce user susceptibility to phishing. This research focuses on two types of digital nudging, framing and priming, and examines the impact of framing and priming on users' behavior (i.e. action) in a cybersecurity setting. It draws on prospect theory, instance-based learning theory and dual-process theory to generate the research hypotheses.

A 3 × 2 experimental study was carried out to test the hypotheses. The experiment consisted of three levels for framing (i.e. no framing, negative framing and positive framing) and two levels for priming (i.e. with and without priming).

The findings suggest that priming users to information security risks reduces their risk-taking behavior, whereas positive and negative framing of information security messages regarding potential consequences of the available choices do not change users' behavior. The results also indicate that risk-averse cybersecurity behavior is associated with greater confidence with the action, greater perceived severity of cybersecurity risks, lower perceived susceptibility to cybersecurity risks resulting from the action and lower trust in the download link.

This research shows that digital nudging in the form of priming is an effective way to reduce users' exposure to cybersecurity risks.

The purpose of this paper is to analyze message features of fear appeals in current British road safety campaigns directed against mobile phone use while driving and to discuss barriers to explicit theory use in campaign message design.

This message-centred research takes a qualitative content analytical approach to analyze nine British web-based road safety campaigns directed against mobile phone use while driving based on the extended parallel process model. Message content and message structure are analyzed.

There still exists a gap between theory and road safety campaign practice. The study reveals that campaigns with fear appeals primarily use threatening messages but neglect efficacy-based contents. Severity messages emerge as the dominant content type while self-efficacy and response efficacy are hardly represented. Fear appeal content in the threat component was mainly communicated through the mention of legal, financial and physical harm, whereas efficacy messages communicated success stories and encouragement. As regards message structure, the threat component always preceded the efficacy component. Within each component, different patterns emerged.

To enhance efficacy in campaigns directed against distracted driving and to reduce the gap between theory and practice, social marketers should include messages that empower recipients to abstain from mobile phone use while driving. Campaigns should show recommended behaviours and highlight their usefulness and effectiveness.

This paper adds to limited research conducted on effect-independent message properties of fear appeals. It enhances understanding of fear appeal message features across the structure and content dimension. By discussing barriers to explicit theory use in social marketing practice and offering practical implications for social marketers, it contributes towards reducing the barriers to explicit theory use in campaign message design.

This paper aims to develop a theoretical framework to predict susceptibility to cyber-fraud victimhood.

A survey was constructed to examine whether personality, socio-demographic characteristics and online routine activities predicted one-off and repeat victimhood of cyber-fraud. Overall, 11,780 participants completed a survey (one-off victims, N = 728; repeat victims = 329).

The final saturated model revealed that psychological and socio-demographic characteristics and online routine activities should be considered when predicting victimhood. Consistent with the hypotheses, victims of cyber-frauds were more likely to be older, score high on impulsivity measures of urgency and sensation seeking, score high on addictive measures and engage in more frequent routine activities that place them at great risk of becoming scammed. There was little distinction between one-off and repeat victims of cyber-frauds.

This work uniquely combines psychological, socio-demographic and online behaviours to develop a comprehensive theoretical framework to predict susceptibility to cyber-frauds. Importantly, the work here challenges the current utility of government websites to protect users from becoming scammed and provides insights into methods that might be used to protect users from becoming scammed.