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Bank profit warnings represent a milder form of negative news than a bank failure. Yet, they may contain signals about a bank or its rivals because the information is transmitted when the bank believes that the market is overly optimistic about its future earnings. Thus, the profit warning serves as a means by which insiders of the bank can reduce the asymmetric information between the bank’s insiders and its investors. We find that banks experience negative valuation effects in response to their profit warnings. The banks’ profit warnings result in significant negative valuation effects for its corresponding rival banks, which implies that the warning carries valuable information about banking industry conditions. However, the effects on rivals are attenuated since the passage of Regulation Fair Disclosure (RFD). This implies that investors may be relying on more transparent sources of information about individual banks rather than relying on one bank’s warning as a signal about other banks. Furthermore, bank regulations may allow for more transparent communication by banks than that of nonbank firms.

This study aims to investigate the role of two structural factors – threat level depicted on fear messages and warning size – as well as two contextual factors – repeated exposure and type of packs – on pictorial and threatening tobacco warnings’ effectiveness.

A two (warning threat level: moderate vs high) × two (coverage: 40 vs 75 per cent) × two (packaging type: plain vs branded) within-subjects experiment was carried out. Subjects were exposed three times to pictorial and threatening tobacco warnings. Both self-report and psychophysiological measurements of emotion were used.

Results indicate that threat level is the most effective structural factor to influence smokers’ reactions, while warning size has very low impact. Furthermore, emotional arousal, fear and disgust, as well as attitude toward tobacco brand, decrease after the second exposure to pictorial and threatening tobacco warnings, but stay stable at the third exposure. However, there is no effect of repetition on the emotional valence component, arousal-subjective component, on intention of quitting or of reducing cigarette consumption. Finally, there is a negative effect of plain packs on attitude toward tobacco brand over repeated exposures, but there is no effect of the type of packs on smokers’ emotions and intentions.

Useful marketing social guidance, which might help government decision-makers increase the effectiveness of smoking reduction measures, is offered.

For the first time in this context, psychophysiological and self-report measurements were combined to measure smokers’ reactions toward pictorial and threatening tobacco warnings in a repeated exposure study.

This study investigates the nature of the association between profit warnings and stock price informativeness in the context of Jordan as an emerging country.

The authors used a large panel data set that related to stock price synchronicity and profit warnings percentages on the Amman Stock Exchange for the period spanning 2007–2018. Robust regression was used as a parametric test. This enabled us to obtain stronger results that fall in line with our prediction that a profit warning encourages firm investors to collect and process more firm-specific information than common market information.

Our findings show a significant positive effect of profit warnings on the amount of firm-specific information incorporated into stock price, which means that the greater the percentage of profit warnings the more likely that more firm-specific information will be incorporated in stock price synchronicity. In addition, corporate governance characteristics (moderating variables) significantly increase the level of the relationship between profit warnings and stock price synchronicity.

Our study results could be useful to investors, senior managers, and regulators in Jordanian firms, particularly in relation to decisions about enhancing the quality of financial statements. In addition, our results provide new evidence about the consequences of earnings announcements for information content and the informativeness of stock prices. Our methodology and evaluation of profit warnings may also demonstrate useful evidence for future researchers on profit warnings and stock price informativeness in developing economies, especially given that such evidence is scarce in developing economies.

This research is the first study of its kind on emerging markets, particularly in the Middle East. Moreover, entering the corporate governance variables as moderating variables to the robust regression was found to be more powerful than other regressions.

Bayesian networks (BNs) are implemented for monitoring a process via statistical process control (SPC) where attribute data are available on output from the system. The paper aims to discuss this issue.

The BN provides a graphical and numerical tool to help a manager understand the effect of sample observations on the probability that the process is out-of-control and requires investigation. The parameters for the BN SPC model are statistically designed to minimize the out-of-control average run length (ARL) of the process at a specified in-control ARL and sample size.

The BN model outperforms adaptive np control charts in all experiments, except for some cases where only a large change in the proportion of sample defects is relevant. The BN is particularly useful when small sample sizes are available and when managers need to detect small changes in the proportion of defects produced by the process.

The BN model is statistically designed and parameters are chosen to minimize out-of-control ARL. Future advancements will address the economic design of BNs for SPC with attribute data.

The BNs allow qualitative knowledge to be combined with sample data, and the average percentage of defects can be modeled as a continuous random variable. The framework of the BN easily permits classification of the system operation into two or more states, so diagnostic analysis can be performed simultaneously with statistical inference.

The purpose of this paper is to determine if internal integration, information sharing, and training constitute direct antecedents to organizations’ warning and recovery capabilities. Assuming that organizations periodically face various supply chain risks, the authors intend to show that managers can develop these antecedent competencies in ways that bolster their supply chain risk management (SCRM) capabilities.

To understand the relationships between the antecedents and SCRM capabilities, the authors used Q-sorts and confirmatory factor analysis to develop new warning and recovery measures. The authors then collected survey data from 231 hospital supply managers and analyzed these records using structural equation modeling.

The results indicate that internal integration and training positively affect organizations’ warning and recovery capabilities, in both a direct and indirect manner. The authors also illustrate how managers can leverage their SCRM capabilities to affect operational performance.

These results suggest that by developing antecedent competencies like internal integration and training, firms may bolster their warning and recovery capabilities, and ultimately operational performance of the organization.

The findings provide hospital supply organizations and other inventory management teams with a novel approach to managing an evolving array of supply chain risks. Rather than investing in costly risk management techniques, like inventory stocks, organizations can use internal integration and training to improve their SCRM capabilities.

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.

Upstream social marketers advocate implementing effective public policies to protect vulnerable populations from the impacts of advertising harmful products. This study aims to explore how alcohol ad content restrictions (as practised in some countries where ads may only convey factual information and objective properties of alcohol products) versus non-regulated advertising affect consumers’ product perceptions, attitude towards the ad and desire to drink. This study also examines how such restrictions influence the noticeability of text health warnings in ads (signalling alcohol-related risks) depending on their prominence.

A multi-method study was used to increase the validity of results. An online quantitative survey (n = 348) and an eye-tracking study (n = 184) were conducted on young French people (15–30). The eye-tracking method is particularly relevant for objectively measuring visual attention.

Results show that content restrictions on alcohol advertising reduce ad appeal and desire to drink. A more prominent format enhanced attentional processing of the text warning, whereas none of the tested ad contents influenced its noticeability.

This study assesses scientific evidence of the effect on alcohol ad content regulations adopted by some countries and provides arguments for upstream social marketers to inform and influence policymakers.

To the best of the authors’ knowledge, this is the first multi-method study that assesses the effect of regulated vs non-regulated alcohol ads in terms of persuasion and of text warning visibility.

The tobacco industry consistently opposes measures that would limit their marketing, but provides little empirical evidence to support its position. This paper aims to test claims that pictorial health warnings on tobacco products would be no more effective than text‐only warnings.

Three studies used face‐to‐face interviews with smokers and non‐smokers to compare pictorial and text‐only warnings. Two studies used semantic differential scales to estimate cognitive and affective responses to pictorial and text‐only warnings, and the Juster Scale to provide behavioural estimates. The final study used best worst scaling to compare paired pictorial and text‐only warnings.

Images featuring medical and social images elicited stronger affective, cognitive and behavioural responses than a control, text‐only message. Comparisons of refreshed text and pictorial warnings found the latter elicited stronger reactions while the former produced similar results to the control. Updating text warnings did not render these more effective; however, adding an image to an existing text warning made this more effective than the control.

Arguments advanced by the tobacco industry need empirical analysis to assess their validity.

This study provides evidence that pictorial health warnings are more effective than text warnings and suggests that refreshing the text used in warning labels, the alternative promoted by the tobacco industry, would be less effective than introducing pictorial warnings.

This is the first comparison of pictorial and refreshed text warnings; the findings challenge the tobacco industry's position on tobacco warning labels and contradict arguments used to oppose the introduction of pictorial warning labels.

The purpose of this research is to demonstrate the effectiveness of pictorial warning labels that leverage the risk of obesity as a deterrent against alcohol abuse. It evaluates the impact of three different kinds of warning labels that can potentially discourage alcoholic drinking: (1) a claim, in text format, that cautions consumers about the product (i.e. a responsibility warning statement); (2) a textual warning label, text-format information on the content of the product or the consequences of excessive consumption (i.e. a synthetic nutritional table); (3) a pictorial warning label, an image depicting a food product with a caloric content equivalent to that of an alcoholic beverage.

In Study 1, a 2 × 2 × 2 factorial design is used to evaluate the intention to buy different alcoholic cocktails. The stimuli comprised two cocktails that are similar in alcoholic volume, but different in their caloric content. The images of the products were presented across eight warning label conditions and shown to 480 randomly selected Italian respondents who quantified their intention to buy the product. In Study 2, a different sample of 34 Italian respondents was solicited with the same stimuli considered in Study 1, and neuropsychological measurements through Electroencephalography (EEG) were registered. A post hoc least significance difference (LSD) test is used to analyse data.

The results show that only the presence of an image representing an alcoholic beverage's caloric content causes a significant reduction in consumers' purchase intentions. This effect is due to the increase in negative emotions caused by pictorial warning labels.

The findings provide interesting insights on pictorial warning labels, which can influence the intention to purchase alcoholic beverages. They confirmed that the use of images in the warning labels has a greater impact than text, and that the risk of obesity is an effective deterrent in encouraging consumers to make healthier choices.

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.