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The placement of warning labels on alcoholic beverages is a policy area with renewed interest, yet a strong evidence base regarding the efficacy of text-based or pictorial warning labels has still to emerge. Increased interest by policymakers has spurred research into potential alcohol warning label designs and messages. The purpose of this article is to draw together recearch in the alcohol warnings literature.

The current study seeks to review research that has sought to examine the effectiveness of alcohol warning labels. Searches for English-language articles (since 2000) using the terms “alcohol” and “warning label*” were conducted in 2015 across four databases (Web of Science, PubMed, PsycInfo and Cochrane). Articles were included if they empirically assessed the effectiveness and/or design of alcohol warning labels. Only studies that addressed the targeted individual consumer (consistent with downstream social marketing) were included. A narrative analysis approach was used for the 15 articles identified.

Findings are reported on five themes covering the design of the warning, starting with the use of imagery or recommendations, followed by a focus on the warning messages and whether they are specific, use signal words and are based on qualitative or quantitative information.

Overall, there was little consistency in approach and measures, with very limited research having explored the potential of pictorial warning labels. Numerous research gaps are identified; thus, much more research is needed in this area. The evidence base is weak and caution is needed by policymakers regarding the introduction and implementation of alcohol warning labels. Limitations are discussed.

The review provides a timely up-to-date evaluation of the alcohol warning labels literature that has seen a recent resurgence but has not been critically reviewed.

Graphic health warnings (GHWs) on tobacco product packaging constitute one component within a multifaceted set of tobacco control measures. This study aims to understand whether consumers’ attention to GHWs will be associated with recall and quit intentions, using Australia as the case for this study.

Using the 14 GHWs currently in market as visual stimuli, non-probability intercept sampling was conducted, eye tracking and post-survey datasets were collected from a total of 419 respondents across three Australian cities.

Results show the front graphic image areas draw initial attention and the Quitline message area holds the longest attention duration. Attention is highly correlated with better quality of recall of health warning information, emotive responses, believability ratings among smokers and smokers’ perception of health risks and quit intentions. Associations are also noted with perceived health risk and quitting intentions.

To the best of the authors’ knowledge, this is the first study that has objectively tested the effectiveness of in-market tobacco GHWs in Australia and highlights eye tracking as a valid measurement approach that can enhance and drive new insights to evaluate consumer behaviour towards visual stimuli. This study extends new knowledge around the physiological relationships between viewing behaviours, health vulnerability perceptions and intentions to quit smoking, which has theoretical implications for the extended parallel process model which underpins this research.

Nonexperts do not always follow the advice in cybersecurity warning messages. To increase compliance, it is recommended that warning messages use nontechnical language, describe how the cyberattack will affect the user personally and do so in a way that aligns with how the user thinks about cyberattacks. Implementing those recommendations requires an understanding of how nonexperts think about cyberattack consequences. Unfortunately, research has yet to reveal nonexperts’ thinking about cyberattack consequences. Toward that end, the purpose of this study was to examine how nonexperts think about cyberattack consequences.

Nonexperts sorted cyberattack consequences based on perceived similarity and labeled each group based on the reason those grouped consequences were perceived to be similar. Participants’ labels were analyzed to understand the general themes and the specific features that are present in nonexperts’ thinking.

The results suggested participants mainly thought about cyberattack consequences in terms of what the attacker is doing and what will be affected. Further, the results suggested participants thought about certain aspects of the consequences in concrete terms and other aspects of the consequences in general terms.

This research illuminates how nonexperts think about cyberattack consequences. This paper also reveals what aspects of nonexperts’ thinking are more or less concrete and identifies specific terminology that can be used to describe aspects that fall into each case. Such information allows one to align warning messages to nonexperts’ thinking in more nuanced ways than would otherwise be possible.

The purpose of this study is to investigate how combined nutrition labelling influences consumer attitudes, subjective norms, perceived behavioural control and purchase intention for sugar-sweetened beverages (SSBs).

This study adopted a mixed method research, quasi-experimental design with 406 valid Taiwanese samples to evaluate the possible effects of combined nutrition labelling on SSB purchase intention; two focus group interviews with four nutritional experts and 12 students were conducted to explain how and why consumers perceived different types of combined nutritional labels.

Combined labels including sugar type/gram with the guideline daily amounts and traffic light display were perceived by consumers as high-quality and reliable, which improved consumer attitude and SSB purchase intention. Consumers perceived the traffic light display and warning claim as a sugar over-consumption message, which reduced SSB purchase intention through subject norms.

Governments should be aware that concrete nutritional information (NIP) leads to the worst SSB consumption. Moreover, the authors suggest that policymakers emphasise the effectiveness of warning claims on SSB products with “sufficient” sugar information to trigger consumers' concern, remind SSB manufacturers of their moral obligation to consumers.

This study identified that the combined effects of nutritional attributes and parts of meanings might be enhanced, eliminated or even separated from their original meaning. Although the label messages were delivered simultaneously, the consumer's psychological perceptions proved to be more complicated than a single attribute and sequentially affected consumer attitudes, subject norms and SSB purchase intention.

The purpose of this paper is to understand the crisis communication strategies used by the Caribbean medical tourism industry in the 2017 hurricane season, and also evaluate the quality of the disaster communication messages delivered via digital mediums.

This study includes a comprehensive, qualitative content analysis of 149 risk and crisis messages from 51 healthcare organizations distributed through digital media. The medical tourism providers (MTPs) include hospitals, medical tourism facilitators, practitioners/private physicians, specialty clinics, and dental and cosmetic providers.

Nearly half of the MTPs included in the data set delivered no post-disaster information to external audiences. The most prominent post-disaster message strategy utilized was conveying operational messages. Furthermore, an unexpected finding was the sheer magnitude of unrelated health-oriented and promotional destination marketing content disseminated before, during and after these events.

This analysis excludes internal organizational channels of communication which may have been used to communicate risk and crisis messages during these events (i.e. employee e-mails, announcements made through intercom systems, etc.). Our analysis does not include content disseminated through medical tourism forums (i.e. Realself.com, Health Traveler’s Forum, FlyerTalk Forum).

Small-scale MTPs can improve on any weaknesses through proactive planning and preparation by creating organizational goals to complete basic crisis communication training courses and in doing so support the applied professional development of disaster and crisis responders in the Caribbean region. Second, MTPs exposed to similar risks of natural disasters may use these findings for comparative analysis purposes to support their own organizational planning. Finally, this study supports the continued utility of the National Center for Food Protection & Defense guidelines for analyzing and evaluating organizational performance.

Currently much of the academic scholarship of applied disaster communication narrowly focuses on the response strategies of one organization, or analyzes one social media platform at a time (i.e. Twitter). A strength of this analysis is the inclusion of an organizational sector (i.e. Caribbean medical tourism providers) and the range of platforms from which the content was captured (e.g. websites, org. blogs and social media networks).

Social engineering is a prominent aspect of online crime. Various interventions have been developed to reduce the success of this type of attacks. This paper aims to investigate if interventions can help to decrease the vulnerability to social engineering attacks. If they help, the authors investigate which forms of interventions and specific elements constitute success.

The authors selected studies which had an experimental design and rigorously tested at least one intervention that aimed to reduce the vulnerability to social engineering. The studies were primarily identified from querying the Scopus database. The authors identified 19 studies which lead to the identification of 37 effect sizes, based on a total sample of N = 23,146 subjects. The available training, intervention materials and effect sizes were analysed. The authors collected information on the context of the intervention, the characteristics of the intervention and the characteristics of the research methodology. All analyses were performed using random-effects models, and heterogeneity was quantified.

The authors find substantial differences in effect size for the different interventions. Some interventions are highly effective; others have no effect at all. Highly intensive interventions are more effective than those that are low on intensity. Furthermore, interventions with a narrow focus are more effective than those with a broad focus.

The results of this study show differences in effect for different elements of interventions. This allows practitioners to review their awareness campaigns and tailor them to increase their success.

The authors believe that this is the first study that compares the impact of social engineering interventions systematically.

The purpose of this paper is to investigate returns to search (getting a better product and/or a lower price as a result of search) when consumers use/do not use recommendation agents (RAs). Specifically, it studies the effect of RAs/no RAs on decision quality, decision confidence and decision satisfaction taking into account subjective knowledge (SK) and involvement.

This paper employed two between-subjects factorial experimental designs with subjects searching for digital cameras in a simulated online digital camera store. The experiment was conducted with graduate students in Chennai, Bengaluru and Mysore in India.

Results of two online experiments showed that when consumers used RAs, low search led to better decision quality, whereas when consumers did not use RAs, medium search led to optimum decision quality. When consumers use RAs, SK had a U-shaped influence on the decision quality indicating that decision quality was the lowest for those with medium SK. When consumers did not use RAs, the effect of SK on decision quality was an inverted U-shape, indicating optimum decision quality for medium SK consumers. When consumers did not use RAs, subjects with high involvement made better choices, whereas when consumers used RAs, low involvement subjects made better choices. However, subjects who searched more had higher decision confidence and decision satisfaction even if their choices were not better.

The effect of RA vs no RA in conjunction with relevant consumer characteristics influencing decision quality of the consumer is demonstrated in this study. The findings have important managerial, consumer and theoretical contributions to make.

This article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work.

The panelists (Drs Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision-making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were Drs Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised.

Through the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human–machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms.

Key issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.

The purpose of this paper is to describe the development of a novel mobile monitoring and control (MC) framework with active-push and plug-and-play capabilities. This proposed framework is particularly designed to addresses the shortcomings of the traditional factory MC systems in sharing information over the internet, protecting the system security, delivering warning messages, and deploying monitoring points.

By leveraging web service technology, mobile devices, and wireless communication, this paper describes the methodology and approach for designing a MC server, a wireless monitoring module (WMM), an intelligent v-Machine, two active-push mechanisms, a pocket PC application, and a smart phone application.

The designed WMM enables the monitoring points to be deployed in a mobile manner. The proposed mobile MC framework (MMCF) can timely detect abnormalities of appliances and equipment and turn off appliances in dangerous situations through WMM. It can also instantly deliver various warning contents to the mobile devices carried by the responsible persons. The v-Machine is built based on virtual metrology (VM) technology and can predict production precision of machined workpieces.

With the successful design and testing of the novel MMCF, this framework can obviously be used for many more applications and developments.

The authors' implement a factory MC system based on the proposed framework and conduct various integration tests on two electric appliances and a practical CNC machine tool in a factory. Testing results shows that the factory MC system works smoothly according the design goals and can overcome the shortcomings of traditional factory MC systems. The MC system also presents good performances, instantly delivering warning contents with a size ranging from 1K bytes to 10M bytes to the users within few seconds.

The proposed MMCF exploits various automation technologies to detect equipment's abnormalities, reduce the rate of product defects caused by human errors, reinforce security, prevent accidents, and ensure the safety of operations.

The proposed MMCF can effectively promote existing factory MC systems to achieve the merits of mobile MC, which is a unique contribution of this work, compared to previous studies. The results of this study can be applied to a variety of industrial automation applications, including factory automation and assembly automation.

Examines consumer perceptions regarding the effectiveness of government‐mandated alcohol warning labels and organizational efforts to promote responsible drinking from the perspective of social judgment theory. Investigates receiver involvement as a predictor of perceived effectiveness for alcohol warnings and warning labels. Finds the relationship between levels of alcohol consumption and perceptions of warning‐label effectiveness to be insignificant; and that health consciousness to be ineffective in predicting perceptions of label effectiveness. However, health consciousness was related to the tendency to read product warning labels. Additionally, examines the source credibility and language intensity of the message for their effects on perceptions of alcohol warning effectiveness. The findings demonstrated that when highly credible sources use intensely worded alcohol warnings, the message is perceived to be more effective than when high‐credibility sources use less intensely worded warnings or when messages are presented by low‐credibility sources.